@article {472, title = {Genome-Wide Analyses of Vocabulary Size in Infancy and Toddlerhood: Associations With Attention-Deficit/Hyperactivity Disorder, Literacy, and Cognition-Related Traits}, journal = {Biological Psychiatry}, volume = {95}, year = {2024}, month = {2024/05/01}, pages = {859 - 869}, abstract = {

BackgroundThe number of words children produce (expressive vocabulary) and understand (receptive vocabulary) changes rapidly during early development, partially due to genetic factors. Here, we performed a meta?genome-wide association study of vocabulary acquisition and investigated polygenic overlap with literacy, cognition, developmental phenotypes, and neurodevelopmental conditions, including attention-deficit/hyperactivity disorder (ADHD).BackgroundThe number of words children produce (expressive vocabulary) and understand (receptive vocabulary) changes rapidly during early development, partially due to genetic factors. Here, we performed a meta?genome-wide association study of vocabulary acquisition and investigated polygenic overlap with literacy, cognition, developmental phenotypes, and neurodevelopmental conditions, including attention-deficit/hyperactivity disorder (ADHD).

}, isbn = {0006-3223}, doi = {10.1016/j.biopsych.2023.11.025}, author = {Verhoef, Ellen and Allegrini, Andrea G. and Jansen, Philip R. and Lange, Katherine and Wang, Carol A. and Morgan, Angela T. and Ahluwalia, Tarunveer S. and Symeonides, Christos and Andreassen, Ole A. and Bartels, Meike and Boomsma, Dorret and Dale, Philip S. and Ehli, Erik and Fernandez-Orth, Dietmar and Guxens, M{\`o}nica and Hakulinen, Christian and Harris, Kathleen Mullan and Haworth, Simon and de Hoyos, Luc{\'\i}a and Jaddoe, Vincent and Keltikangas-J{\"a}rvinen, Liisa and Lehtim{\"a}ki, Terho and Middeldorp, Christel and Min, Josine L. and Mishra, Pashupati P. and Nj{\o}lstad, P{\r a}l Rasmus and Sunyer, Jordi and Tate, Ashley E. and Timpson, Nicholas and van der Laan, Camiel and Vrijheid, Martine and Vuoksimaa, Eero and Whipp, Alyce and Ystrom, Eivind and ACTION Consortium and Barwon Infant Study investigator group and Eising, Else and Franken, Marie-Christine and Hypponen, Elina and Mansell, Toby and Olislagers, Mitchell and Omerovic, Emina and Rimfeld, Kaili and Schlag, Fenja and Selzam, Saskia and Shapland, Chin Yang and Tiemeier, Henning and Whitehouse, Andrew J.O. and Saffery, Richard and B{\o}nnelykke, Klaus and Reilly, Sheena and Pennell, Craig E. and Wake, Melissa and Cecil, Charlotte A.M. and Plomin, Robert and Fisher, Simon E. and St. Pourcain, Beate} } @article {468, title = {Beyond the global brain differences: Intra-individual variability differences in 1q21.1 distal and 15q11.2 {BP1-BP2} deletion carriers}, journal = {Biological Psychiatry}, year = {2023}, abstract = {

BACKGROUND: The 1q21.1 distal and 15q11.2 BP1-BP2 CNVs exhibit regional and global brain differences compared to non-carriers. However, interpreting regional differences is challenging if a global difference drives the regional brain differences. Intra-individual variability measures can be used to test for regional differences beyond global differences in brain structure.

METHODS: Magnetic resonance imaging data were used to obtain regional brain values for 1q21.1 distal deletion (n=30) and duplication (n=27), and 15q11.2 BP1-BP2 deletion (n=170) and duplication (n=243) carriers and matched non-carriers (n=2,350). Regional intra-deviation (RID) scores i.e., the standardized difference between an individual\&$\#$39;s regional difference and global difference, were used to test for regional differences that diverge from the global difference.

RESULTS: For the 1q21.1 distal deletion carriers, cortical surface area for regions in the medial visual cortex, posterior cingulate and temporal pole differed less, and regions in the prefrontal and superior temporal cortex differed more than the global difference in cortical surface area. For the 15q11.2 BP1-BP2 deletion carriers, cortical thickness in regions in the medial visual cortex, auditory cortex and temporal pole differed less, and the prefrontal and somatosensory cortex differed more than the global difference in cortical thickness.

CONCLUSION: We find evidence for regional effects beyond differences in global brain measures in 1q21.1 distal and 15q11.2 BP1-BP2 CNVs. The results provide new insight into brain profiling of the 1q21.1 distal and 15q11.2 BP1-BP2 CNVs, with the potential to increase our understanding of mechanisms involved in altered neurodevelopment.

}, keywords = {15q11.2 BP1-BP2, 1q21.1 distal, brain structure, copy number variants, intra-individual variability, magnetic resonance imaging}, doi = {10.1016/j.biopsych.2023.08.018}, author = {Boen, Rune and Kaufmann, Tobias and van der Meer, Dennis and Frei, Oleksandr and Agartz, Ingrid and Ames, David and Andersson, Micael and Armstrong, Nicola J and Artiges, Eric and Atkins, Joshua R and Bauer, Jochen and Benedetti, Francesco and Boomsma, Dorret I and Brodaty, Henry and Brosch, Katharina and Buckner, Randy L and Cairns, Murray J and Calhoun, Vince and Caspers, Svenja and Cichon, Sven and Corvin, Aiden P and Facorro, Benedicto Crespo and Dannlowski, Udo and David, Friederike S and de Geus, Eco J C and de Zubicaray, Greig I and Desrivieres, Sylvane and Doherty, Joanne L and Donohoe, Gary and Ehrlich, Stefan and Eising, Else and Espeseth, Thomas and Fisher, Simon E and Forstner, Andreas J and Uy{\`a}, Lidia Fortaner and Frouin, Vincent and Fukunaga, Masaki and Ge, Tian and Glahn, David C and Goltermann, Janik and Grabe, Hans J and Green, Melissa J and Groenewold, Nynke A and Grotegerd, Dominik and Hahn, Tim and Hashimoto, Ryota and Hehir-Kwa, Jayne Y and Henskens, Frans A and Holmes, Avram J and Haberg, Asta K and Haavik, Jan and Jacquemont, S{\'e}bastien and Jansen, Andreas and Jockwitz, Christiane and J{\"o}nsson, Erik G and Kikuchi, Masataka and Kircher, Tilo and Kumar, Kuldeep and Le Hellard, Stephanie and Leu, Costin and Linden, David E and Liu, Jingyu and Loughnan, Robert and Mather, Karen A and McMahon, Katie L and McRae, Allan F and Medland, Sarah E and Meinert, Susanne and Moreau, Clara A and Morris, Derek W and Mowry, Bryan J and M{\"u}hleisen, Thomas W and Nenadi{\'c}, Igor and N{\"o}then, Markus M and Nyberg, Lars and Owen, Michael J and Paolini, Marco and Paus, Tomas and Pausova, Zdenka and Persson, Karin and Quid{\'e}, Yann and Marques, Tiago Reis and Sachdev, Perminder S and Sando, Sigrid B and Schall, Ulrich and Scott, Rodney J and Selb{\ae}k, Geir and Shumskaya, Elena and Silva, Ana I and Sisodiya, Sanjay M and Stein, Frederike and Stein, Dan J and Straube, Benjamin and Streit, Fabian and Strike, Lachlan T and Teumer, Alexander and Teutenberg, Lea and Thalamuthu, Anbupalam and Tooney, Paul A and Tordesillas-Guti{\'e}rrez, Diana and Trollor, Julian N and Ent, Dennis van {\textquoteright}t and van den Bree, Marianne B M and van Haren, Neeltje E M and Vazquez-Bourgon, Javier and V{\"o}lzke, Henry and Wen, Wei and Wittfeld, Katharina and Ching, Christopher R K and Westlye, Lars T and Thompson, Paul M and Bearden, Carrie E and Selmer, Kaja K and Aln{\ae}s, Dag and Andreassen, Ole A and Sonderby, Ida E} } @unpublished {466, title = {Longitudinal multi-omics study reveals common etiology underlying association between plasma proteome and BMI trajectories in adolescent and young adult twins}, journal = {medRxiv}, year = {2023}, abstract = {

Background: The influence of genetics and environment on the association of the plasma proteome with body mass index (BMI) and changes in BMI remain underexplored, and the links to other omics in these associations remain to be investigated. We characterized protein-BMI trajectory associations in adolescents and adults and how these connect to other omics layers.

Methods: Our study included two cohorts of longitudinally followed twins: FinnTwin12 (N=651) and the Netherlands Twin Register (NTR) (N=665). Follow-up comprised four BMI measurements over approximately 6 (NTR: 23-27 years old) to 10 years (FinnTwin12: 12-22 years old), with omics data collected at the last BMI measurement. BMI changes were calculated using latent growth curve models. Mixed-effects models were used to quantify the associations between the abundance of 439 plasma proteins with BMI at blood sampling and changes in BMI. The sources of genetic and environmental variation underlying the protein abundances were quantified using twin models, as were the associations of proteins with BMI and BMI changes. In NTR, we investigated the association of gene expression of genes encoding proteins identified in FinnTwin12 with BMI and changes in BMI. We linked identified proteins and their coding genes to plasma metabolites and polygenic risk scores (PRS) using mixed-effect models and correlation networks.

Results: We identified 66 and 14 proteins associated with BMI at blood sampling and changes in BMI, respectively. The average heritability of these proteins was 35\%. Of the 66 BMI-protein associations, 43 and 12 showed genetic and environmental correlations, respectively, including 8 proteins showing both. Similarly, we observed 6 and 4 genetic and environmental correlations between changes in BMI and protein abundance, respectively. S100A8 gene expression was associated with BMI at blood sampling, and the PRG4 and CFI genes were associated with BMI changes. Proteins showed strong connections with many metabolites and PRSs, but we observed no multi-omics connections among gene expression and other omics layers.

Conclusions: Associations between the proteome and BMI trajectories are characterized by shared genetic, environmental, and metabolic etiologies. We observed few gene-protein pairs associated with BMI or changes in BMI at the proteome and transcriptome levels.

}, doi = {10.1101/2023.06.28.23291995}, author = {Drouard, Gabin and Hagenbeek, Fiona A and Whipp, Alyce and Pool, Ren{\'e} and Hottenga, Jouke-Jan and Jansen, Rick and Hubers, Nikki and Afonin, Aleksei and Willemsen, Gonneke and de Geus, Eco J C and Ripatti, Samuli and Pirinen, Matti and Kanninen, Katja M and Boomsma, Dorret I and van Dongen, Jenny and Kaprio, Jaakko and BIOS Consortium and BBMRI-NL Metabolomics Consortium} } @article {459, title = {Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people}, journal = {Proceedings of the National Academy of Sciences (PNAS)}, volume = {119}, year = {2022}, pages = {e2202764119}, abstract = {

The use of spoken and written language is a fundamental human capacity. Individual differences in reading- and language-related skills are influenced by genetic variation, with twin-based heritability estimates of 30 to 80\% depending on the trait. The genetic architecture is complex, heterogeneous, and multifactorial, but investigations of contributions of single-nucleotide polymorphisms (SNPs) were thus far underpowered. We present a multicohort genome-wide association study (GWAS) of five traits assessed individually using psychometric measures (word reading, nonword reading, spelling, phoneme awareness, and nonword repetition) in samples of 13,633 to 33,959 participants aged 5 to 26 y. We identified genome-wide significant association with word reading (rs11208009, P = 1.098 \× 10\−8) at a locus that has not been associated with intelligence or educational attainment. All five reading-/language-related traits showed robust SNP heritability, accounting for 13 to 26\% of trait variability. Genomic structural equation modeling revealed a shared genetic factor explaining most of the variation in word/nonword reading, spelling, and phoneme awareness, which only partially overlapped with genetic variation contributing to nonword repetition, intelligence, and educational attainment. A multivariate GWAS of word/nonword reading, spelling, and phoneme awareness maximized power for follow-up investigation. Genetic correlation analysis with neuroimaging traits identified an association with the surface area of the banks of the left superior temporal sulcus, a brain region linked to the processing of spoken and written language. Heritability was enriched for genomic elements regulating gene expression in the fetal brain and in chromosomal regions that are depleted of Neanderthal variants. Together, these results provide avenues for deciphering the biological underpinnings of uniquely human traits.

}, keywords = {genome-wide association study, language, meta-analysis, reading}, doi = {10.1073/pnas.2202764119}, author = {Eising, Else and Mirza-Schreiber, Nazanin and de Zeeuw, Eveline L and Wang, Carol A and Truong, Dongnhu T and Allegrini, Andrea G and Shapland, Chin Yang and Zhu, Gu and Wigg, Karen G and Gerritse, Margot L and Molz, Barbara and Alag{\"o}z, G{\"o}kberk and Gialluisi, Alessandro and Abbondanza, Filippo and Rimfeld, Kaili and van Donkelaar, Marjolein and Liao, Zhijie and Jansen, Philip R and Andlauer, Till F M and Bates, Timothy C and Bernard, Manon and Blokland, Kirsten and Bonte, Milene and B{\o}rglum, Anders D and Bourgeron, Thomas and Brandeis, Daniel and Ceroni, Fabiola and Cs{\'e}pe, Val{\'e}ria and Dale, Philip S and de Jong, Peter F and DeFries, John C and D{\'e}monet, Jean-Fran\c cois and Demontis, Ditte and Feng, Yu and Gordon, Scott D and Guger, Sharon L and Hayiou-Thomas, Marianna E and Hern{\'a}ndez-Cabrera, Juan A and Hottenga, Jouke-Jan and Hulme, Charles and Kere, Juha and Kerr, Elizabeth N and Koomar, Tanner and Landerl, Karin and Leonard, Gabriel T and Lovett, Maureen W and Lyytinen, Heikki and Martin, Nicholas G and Martinelli, Angela and Maurer, Urs and Michaelson, Jacob J and Moll, Kristina and Monaco, Anthony P and Morgan, Angela T and N{\"o}then, Markus M and Pausova, Zdenka and Pennell, Craig E and Pennington, Bruce F and Price, Kaitlyn M and Rajagopal, Veera M and Ramus, Franck and Richer, Louis and Simpson, Nuala H and Smith, Shelley D and Snowling, Margaret J and Stein, John and Strug, Lisa J and Talcott, Joel B and Tiemeier, Henning and van der Schroeff, Marc P and Verhoef, Ellen and Watkins, Kate E and Wilkinson, Margaret and Wright, Margaret J and Barr, Cathy L and Boomsma, Dorret I and Carreiras, Manuel and Franken, Marie-Christine J and Gruen, Jeffrey R and Luciano, Michelle and M{\"u}ller-Myhsok, Bertram and Newbury, Dianne F and Olson, Richard K and Paracchini, Silvia and Paus, Tom{\'a}\v s and Plomin, Robert and Reilly, Sheena and Schulte-K{\"o}rne, Gerd and Tomblin, J Bruce and van Bergen, Elsje and Whitehouse, Andrew J O and Willcutt, Erik G and St Pourcain, Beate and Francks, Clyde and Fisher, Simon E} } @article {469, title = {Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention}, journal = {Nature Genetics}, volume = {54}, year = {2022}, pages = {1332{\textendash}1344}, abstract = {

Although physical activity and sedentary behavior are moderately heritable, little is known about the mechanisms that influence these traits. Combining data for up to 703,901 individuals from 51 studies in a multi-ancestry meta-analysis of genome-wide association studies yields 99 loci that associate with self-reported moderate-to-vigorous intensity physical activity during leisure time (MVPA), leisure screen time (LST) and/or sedentary behavior at work. Loci associated with LST are enriched for genes whose expression in skeletal muscle is altered by resistance training. A missense variant in ACTN3 makes the alpha-actinin-3 filaments more flexible, resulting in lower maximal force in isolated type IIA muscle fibers, and possibly protection from exercise-induced muscle damage. Finally, Mendelian randomization analyses show that beneficial effects of lower LST and higher MVPA on several risk factors and diseases are mediated or confounded by body mass index (BMI). Our results provide insights into physical activity mechanisms and its role in disease prevention.

}, doi = {10.1038/s41588-022-01165-1}, author = {Wang, Zhe and Emmerich, Andrew and Pillon, Nicolas J and Moore, Tim and Hemerich, Daiane and Cornelis, Marilyn C and Mazzaferro, Eugenia and Broos, Siacia and Ahluwalia, Tarunveer S and Bartz, Traci M and Bentley, Amy R and Bielak, Lawrence F and Chong, Mike and Chu, Audrey Y and Berry, Diane and Dorajoo, Rajkumar and Dueker, Nicole D and Kasbohm, Elisa and Feenstra, Bjarke and Feitosa, Mary F and Gieger, Christian and Graff, Mariaelisa and Hall, Leanne M and Haller, Toomas and Hartwig, Fernando P and Hillis, David A and Huikari, Ville and Heard-Costa, Nancy and Holzapfel, Christina and Jackson, Anne U and Johansson, \AAsa and J{\o}rgensen, Anja Moltke and Kaakinen, Marika A and Karlsson, Robert and Kerr, Kathleen F and Kim, Boram and Koolhaas, Chantal M and Kutalik, Zoltan and Lagou, Vasiliki and Lind, Penelope A and Lorentzon, Mattias and Lyytik{\"a}inen, Leo-Pekka and Mangino, Massimo and Metzendorf, Christoph and Monroe, Kristine R and Pacolet, Alexander and P{\'e}russe, Louis and Pool, Ren{\'e} and Richmond, Rebecca C and Rivera, Natalia V and Robiou-du-Pont, Sebastien and Schraut, Katharina E and Schulz, Christina-Alexandra and Stringham, Heather M and Tanaka, Toshiko and Teumer, Alexander and Turman, Constance and van der Most, Peter J and Vanmunster, Mathias and van Rooij, Frank J A and van Vliet-Ostaptchouk, Jana V and Zhang, Xiaoshuai and Zhao, Jing-Hua and Zhao, Wei and Balkhiyarova, Zhanna and Balslev-Harder, Marie N and Baumeister, Sebastian E and Beilby, John and Blangero, John and Boomsma, Dorret I and Brage, Soren and Braund, Peter S and Brody, Jennifer A and Bruinenberg, Marcel and Ekelund, Ulf and Liu, Ching-Ti and Cole, John W and Collins, Francis S and Cupples, L Adrienne and Esko, T{\~o}nu and Enroth, Stefan and Faul, Jessica D and Fernandez-Rhodes, Lindsay and Fohner, Alison E and Franco, Oscar H and Galesloot, Tessel E and Gordon, Scott D and Grarup, Niels and Hartman, Catharina A and Heiss, Gerardo and Hui, Jennie and Illig, Thomas and Jago, Russell and James, Alan and Joshi, Peter K and Jung, Taeyeong and K{\"a}h{\"o}nen, Mika and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Kolcic, Ivana and Kraft, Peter P and Kuusisto, Johanna and Launer, Lenore J and Li, Aihua and Linneberg, Allan and Luan, Jian{\textquoteright}an and Vidal, Pedro Marques and Medland, Sarah E and Milaneschi, Yuri and Moscati, Arden and Musk, Bill and Nelson, Christopher P and Nolte, Ilja M and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Power, Christine and Raitakari, Olli T and Reedik, M{\"a}gi and Reiner, Alex P and Ridker, Paul M and Rudan, Igor and Ryan, Kathy and Sarzynski, Mark A and Scott, Laura J and Scott, Robert A and Sidney, Stephen and Siggeirsdottir, Kristin and Smith, Albert V and Smith, Jennifer A and Sonestedt, Emily and Str{\o}m, Marin and Tai, E Shyong and Teo, Koon K and Thorand, Barbara and T{\"o}njes, Anke and Tremblay, Angelo and Uitterlinden, Andre G and Vangipurapu, Jagadish and van Schoor, Natasja and V{\"o}lker, Uwe and Willemsen, Gonneke and Williams, Kayleen and Wong, Quenna and Xu, Huichun and Young, Kristin L and Yuan, Jian Min and Zillikens, M Carola and Zonderman, Alan B and Ameur, Adam and Bandinelli, Stefania and Bis, Joshua C and Boehnke, Michael and Bouchard, Claude and Chasman, Daniel I and Smith, George Davey and de Geus, Eco J C and Deldicque, Louise and D{\"o}rr, Marcus and Evans, Michele K and Ferrucci, Luigi and Fornage, Myriam and Fox, Caroline and Garland, Jr, Theodore and Gudnason, Vilmundur and Gyllensten, Ulf and Hansen, Torben and Hayward, Caroline and Horta, Bernardo L and Hypponen, Elina and Jarvelin, Marjo-Riitta and Johnson, W Craig and Kardia, Sharon L R and Kiemeney, Lambertus A and Laakso, Markku and Langenberg, Claudia and Lehtim{\"a}ki, Terho and Marchand, Loic Le and Lifelines Cohort Study and Magnusson, Patrik K E and Martin, Nicholas G and Melbye, Mads and Metspalu, Andres and Meyre, David and North, Kari E and Ohlsson, Claes and Oldehinkel, Albertine J and Orho-Melander, Marju and Pare, Guillaume and Park, Taesung and Pedersen, Oluf and Penninx, Brenda W J H and Pers, Tune H and Polasek, Ozren and Prokopenko, Inga and Rotimi, Charles N and Samani, Nilesh J and Sim, Xueling and Snieder, Harold and S{\o}rensen, Thorkild I A and Spector, Tim D and Timpson, Nicholas J and van Dam, Rob M and van der Velde, Nathalie and van Duijn, Cornelia M and Vollenweider, Peter and V{\"o}lzke, Henry and Voortman, Trudy and Waeber, G{\'e}rard and Wareham, Nicholas J and Weir, David R and Wichmann, Heinz-Erich and Wilson, James F and Hevener, Andrea L and Krook, Anna and Zierath, Juleen R and Thomis, Martine A I and Loos, Ruth J F and Hoed, Marcel den} } @article {455, title = {Genome-wide association meta-analysis of childhood and adolescent internalizing symptoms}, journal = {Journal of the American Academy of Child \& Adolescent Psychiatry}, volume = {61}, year = {2022}, pages = {934{\textendash}945}, abstract = {

OBJECTIVE: To investigate the genetic architecture of internalizing symptoms in childhood and adolescence.

METHOD: In 22 cohorts, multiple univariate genome-wide association studies (GWASs) were performed using repeated assessments of internalizing symptoms, in a total of 64,561 children and adolescents between 3 and 18 years of age. Results were aggregated in meta-analyses that accounted for sample overlap, first using all available data, and then using subsets of measurements grouped by rater, age, and instrument.

RESULTS: The meta-analysis of overall internalizing symptoms (INToverall) detected no genome-wide significant hits and showed low single nucleotide polymorphism (SNP) heritability (1.66\%, 95\% CI = 0.84-2.48

}, keywords = {anxiety, Depression, genetic epidemiology, molecular genetics, repeated measures}, doi = {10.1016/j.jaac.2021.11.035}, author = {Jami, Eshim S and Hammerschlag, Anke R and Ip, Hill F and Allegrini, Andrea G and Benyamin, Beben and Border, Richard and Diemer, Elizabeth W and Jiang, Chang and Karhunen, Ville and Lu, Yi and Lu, Qing and Mallard, Travis T and Mishra, Pashupati P and Nolte, Ilja M and Palviainen, Teemu and Peterson, Roseann E and Sallis, Hannah M and Shabalin, Andrey A and Tate, Ashley E and Thiering, Elisabeth and Vilor-Tejedor, Nat{\`a}lia and Wang, Carol and Zhou, Ang and Adkins, Daniel E and Alemany, Silvia and Ask, Helga and Chen, Qi and Corley, Robin P and Ehli, Erik A and Evans, Luke M and Havdahl, Alexandra and Hagenbeek, Fiona A and Hakulinen, Christian and Henders, Anjali K and Hottenga, Jouke Jan and Korhonen, Tellervo and Mamun, Abdullah and Marrington, Shelby and Neumann, Alexander and Rimfeld, Kaili and Rivadeneira, Fernando and Silberg, Judy L and van Beijsterveldt, Catharina E and Vuoksimaa, Eero and Whipp, Alyce M and Tong, Xiaoran and Andreassen, Ole A and Boomsma, Dorret I and Brown, Sandra A and Burt, S Alexandra and Copeland, William and Dick, Danielle M and Harden, K Paige and Harris, Kathleen Mullan and Hartman, Catharina A and Heinrich, Joachim and Hewitt, John K and Hopfer, Christian and Hypponen, Elina and Jarvelin, Marjo-Riitta and Kaprio, Jaakko and Keltikangas-J{\"a}rvinen, Liisa and Klump, Kelly L and Krauter, Kenneth and Kuja-Halkola, Ralf and Larsson, Henrik and Lehtim{\"a}ki, Terho and Lichtenstein, Paul and Lundstr{\"o}m, Sebastian and Maes, Hermine H and Magnus, Per and Munaf{\`o}, Marcus R and Najman, Jake M and Nj{\o}lstad, P\aal R and Oldehinkel, Albertine J and Pennell, Craig E and Plomin, Robert and Reichborn-Kjennerud, Ted and Reynolds, Chandra and Rose, Richard J and Smolen, Andrew and Snieder, Harold and Stallings, Michael and Standl, Marie and Sunyer, Jordi and Tiemeier, Henning and Wadsworth, Sally J and Wall, Tamara L and Whitehouse, Andrew J O and Williams, Gail M and Ystr{\o}m, Eivind and Nivard, Michel G and Bartels, Meike and Middeldorp, Christel M} } @article {461, title = {Item-level genome-wide association study of the Alcohol Use Disorders Identification Test in three population-based cohorts}, journal = {The American Journal of Psychiatry}, volume = {179}, year = {2022}, pages = {58{\textendash}70}, abstract = {

OBJECTIVE: Genome-wide association studies (GWASs) of the Alcohol Use Disorders Identification Test (AUDIT), a 10-item screen for alcohol use disorder (AUD), have elucidated novel loci for alcohol consumption and misuse. However, these studies also revealed that GWASs can be influenced by numerous biases (e.g., measurement error, selection bias), which may have led to inconsistent genetic correlations between alcohol involvement and AUD, as well as paradoxically negative genetic correlations between alcohol involvement and psychiatric disorders and/or medical conditions. The authors used genomic structural equation modeling to elucidate the genetics of alcohol consumption and problematic consequences of alcohol use as measured by AUDIT.

METHODS: To explore these unexpected differences in genetic correlations, the authors conducted the first item-level and the largest GWAS of AUDIT items (N=160,824) and applied a multivariate framework to mitigate previous biases.

RESULTS: The authors identified novel patterns of similarity (and dissimilarity) among the AUDIT items and found evidence of a correlated two-factor structure at the genetic level ({\textquoteleft}{\textquoteleft}consumption\&$\#$39;\&$\#$39; and {\textquoteleft}{\textquoteleft}problems,\&$\#$39;\&$\#$39; rg=0.80). Moreover, by applying empirically derived weights to each of the AUDIT items, the authors constructed an aggregate measure of alcohol consumption that was strongly associated with alcohol dependence (rg=0.67), moderately associated with several other psychiatric disorders, and no longer positively associated with health and positive socioeconomic outcomes. Lastly, by conducting polygenic analyses in three independent cohorts that differed in their ascertainment and prevalence of AUD, the authors identified novel genetic associations between alcohol consumption, alcohol misuse, and health.

CONCLUSIONS: This work further emphasizes the value of AUDIT for both clinical and genetic studies of AUD and the importance of using multivariate methods to study genetic associations that are more closely related to AUD.

}, keywords = {Alcohol, Alcohol Consumption, ALSPAC, Genomic Structural Equation Modeling, GWAS, Substance-Related and Addictive Disorders}, doi = {10.1176/appi.ajp.2020.20091390}, author = {Mallard, Travis T and Savage, Jeanne E and Johnson, Emma C and Huang, Yuye and Edwards, Alexis C and Hottenga, Jouke J and Grotzinger, Andrew D and Gustavson, Daniel E and Jennings, Mariela V and Anokhin, Andrey and Dick, Danielle M and Edenberg, Howard J and Kramer, John R and Lai, Dongbing and Meyers, Jacquelyn L and Pandey, Ashwini K and Harden, Kathryn Paige and Nivard, Michel G and de Geus, Eco J C and Boomsma, Dorret I and Agrawal, Arpana and Davis, Lea K and Clarke, Toni-Kim and Palmer, Abraham A and Sanchez-Roige, Sandra} } @article {465, title = {Overview of CAPICE - Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe - an EU Marie Sk{\l}odowska-Curie International Training Network}, journal = {European Child \& Adolescent Psychiatry}, volume = {31}, year = {2022}, pages = {829{\textendash}839}, abstract = {

The Roadmap for Mental Health and Wellbeing Research in Europe (ROAMER) identified child and adolescent mental illness as a priority area for research. CAPICE (Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe) is a European Union (EU) funded training network aimed at investigating the causes of individual differences in common childhood and adolescent psychopathology, especially depression, anxiety, and attention deficit hyperactivity disorder. CAPICE brings together eight birth and childhood cohorts as well as other cohorts from the EArly Genetics and Life course Epidemiology (EAGLE) consortium, including twin cohorts, with unique longitudinal data on environmental exposures and mental health problems, and genetic data on participants. Here we describe the objectives, summarize the methodological approaches and initial results, and present the dissemination strategy of the CAPICE network. Besides identifying genetic and epigenetic variants associated with these phenotypes, analyses have been performed to shed light on the role of genetic factors and the interplay with the environment in influencing the persistence of symptoms across the lifespan. Data harmonization and building an advanced data catalogue are also part of the work plan. Findings will be disseminated to non-academic parties, in close collaboration with the Global Alliance of Mental Illness Advocacy Networks-Europe (GAMIAN-Europe).

}, keywords = {anxiety, Attention deficit hyperactivity disorder (ADHD), Childhood and adolescence psychopathology, Depression, Psychiatric genetics}, doi = {10.1007/s00787-020-01713-2}, author = {Rajula, Hema Sekhar Reddy and Manchia, Mirko and Agarwal, Kratika and Akingbuwa, Wonuola A and Allegrini, Andrea G and Diemer, Elizabeth and Doering, Sabrina and Haan, Elis and Jami, Eshim S and Karhunen, Ville and Leone, Marica and Schellhas, Laura and Thompson, Ashley and van den Berg, St{\'e}phanie M and Bergen, Sarah E and Kuja-Halkola, Ralf and Hammerschlag, Anke R and J{\"a}rvelin, Marjo Riitta and Leval, Amy and Lichtenstein, Paul and Lundstr{\"o}m, Sebastian and Mauri, Matteo and Munaf{\`o}, Marcus R and Myers, David and Plomin, Robert and Rimfeld, Kaili and Tiemeier, Henning and Ystrom, Eivind and Fanos, Vassilios and Bartels, Meike and Middeldorp, Christel M} } @article {454, title = {1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans}, journal = {Translational Psychiatry}, volume = {11}, year = {2021}, pages = {182}, abstract = {

Low-frequency 1q21.1 distal deletion and duplication copy number variant (CNV) carriers are predisposed to multiple neurodevelopmental disorders, including schizophrenia, autism and intellectual disability. Human carriers display a high prevalence of micro- and macrocephaly in deletion and duplication carriers, respectively. The underlying brain structural diversity remains largely unknown. We systematically called CNVs in 38 cohorts from the large-scale ENIGMA-CNV collaboration and the UK Biobank and identified 28 1q21.1 distal deletion and 22 duplication carriers and 37,088 non-carriers (48\% male) derived from 15 distinct magnetic resonance imaging scanner sites. With standardized methods, we compared subcortical and cortical brain measures (all) and cognitive performance (UK Biobank only) between carrier groups also testing for mediation of brain structure on cognition. We identified positive dosage effects of copy number on intracranial volume (ICV) and total cortical surface area, with the largest effects in frontal and cingulate cortices, and negative dosage effects on caudate and hippocampal volumes. The carriers displayed distinct cognitive deficit profiles in cognitive tasks from the UK Biobank with intermediate decreases in duplication carriers and somewhat larger in deletion carriers-the latter potentially mediated by ICV or cortical surface area. These results shed light on pathobiological mechanisms of neurodevelopmental disorders, by demonstrating gene dose effect on specific brain structures and effect on cognitive function.

}, doi = { 10.1038/s41398-021-01213-0}, author = {S{\o}nderby, Ida E and van der Meer, Dennis and Moreau, Clara and Kaufmann, Tobias and Walters, G Bragi and Ellegaard, Maria and Abdellaoui, Abdel and Ames, David and Amunts, Katrin and Andersson, Micael and Armstrong, Nicola J and Bernard, Manon and Blackburn, Nicholas B and Blangero, John and Boomsma, Dorret I and Brodaty, Henry and Brouwer, Rachel M and B{\"u}low, Robin and B{\o}en, Rune and Cahn, Wiepke and Calhoun, Vince D and Caspers, Svenja and Ching, Christopher R K and Cichon, Sven and Ciufolini, Simone and Crespo-Facorro, Benedicto and Curran, Joanne E and Dale, Anders M and Dalvie, Shareefa and Dazzan, Paola and de Geus, Eco J C and de Zubicaray, Greig I and de Zwarte, Sonja M C and Desrivieres, Sylvane and Doherty, Joanne L and Donohoe, Gary and Draganski, Bogdan and Ehrlich, Stefan and Eising, Else and Espeseth, Thomas and Fejgin, Kim and Fisher, Simon E and Fladby, Tormod and Frei, Oleksandr and Frouin, Vincent and Fukunaga, Masaki and Gareau, Thomas and Ge, Tian and Glahn, David C and Grabe, Hans J and Groenewold, Nynke A and G{\'u}stafsson, {\'O}mar and Haavik, Jan and Haberg, Asta K and Hall, Jeremy and Hashimoto, Ryota and Hehir-Kwa, Jayne Y and Hibar, Derrek P and Hillegers, Manon H J and Hoffmann, Per and Holleran, Laurena and Holmes, Avram J and Homuth, Georg and Hottenga, Jouke-Jan and Hulshoff Pol, Hilleke E and Ikeda, Masashi and Jahanshad, Neda and Jockwitz, Christiane and Johansson, Stefan and J{\"o}nsson, Erik G and J{\o}rgensen, Niklas R and Kikuchi, Masataka and Knowles, Emma E M and Kumar, Kuldeep and Le Hellard, Stephanie and Leu, Costin and Linden, David E J and Liu, Jingyu and Lundervold, Arvid and Lundervold, Astri Johansen and Maillard, Anne M and Martin, Nicholas G and Martin-Brevet, Sandra and Mather, Karen A and Mathias, Samuel R and McMahon, Katie L and McRae, Allan F and Medland, Sarah E and Meyer-Lindenberg, Andreas and Moberget, Torgeir and Modenato, Claudia and S{\'a}nchez, Jennifer Monereo and Morris, Derek W and M{\"u}hleisen, Thomas W and Murray, Robin M and Nielsen, Jacob and Nordvik, Jan E and Nyberg, Lars and Loohuis, Loes M Olde and Ophoff, Roel A and Owen, Michael J and Paus, Tomas and Pausova, Zdenka and Peralta, Juan M and Pike, G Bruce and Prieto, Carlos and Quinlan, Erin B and Reinbold, C{\'e}line S and Marques, Tiago Reis and Rucker, James J H and Sachdev, Perminder S and Sando, Sigrid B and Schofield, Peter R and Schork, Andrew J and Schumann, Gunter and Shin, Jean and Shumskaya, Elena and Silva, Ana I and Sisodiya, Sanjay M and Steen, Vidar M and Stein, Dan J and Strike, Lachlan T and Suzuki, Ikuo K and Tamnes, Christian K and Teumer, Alexander and Thalamuthu, Anbupalam and Tordesillas-Guti{\'e}rrez, Diana and Uhlmann, Anne and Ulfarsson, Magnus O and van {\textquoteright}t Ent, Dennis and van den Bree, Marianne B M and Vanderhaeghen, Pierre and Vassos, Evangelos and Wen, Wei and Wittfeld, Katharina and Wright, Margaret J and Agartz, Ingrid and Djurovic, Srdjan and Westlye, Lars T and Stefansson, Hreinn and Stefansson, Kari and Jacquemont, S{\'e}bastien and Thompson, Paul M and Andreassen, Ole A and ENIGMA-CNV working group} } @article {439, title = {DNA methylation signatures of aggression and closely related constructs: A meta-analysis of epigenome-wide studies across the lifespan}, journal = {Molecular Psychiatry}, volume = {26}, year = {2021}, pages = {2148{\textendash}2162}, abstract = {

DNA methylation profiles of aggressive behavior may capture lifetime cumulative effects of genetic, stochastic, and environmental influences associated with aggression. Here, we report the first large meta-analysis of epigenome-wide association studies (EWAS) of aggressive behavior (N = 15,324 participants). In peripheral blood samples of 14,434 participants from 18 cohorts with mean ages ranging from 7 to 68 years, 13 methylation sites were significantly associated with aggression (alpha = 1.2 $\times$ 10-7; Bonferroni correction). In cord blood samples of 2425 children from five cohorts with aggression assessed at mean ages ranging from 4 to 7 years, 83\% of these sites showed the same direction of association with childhood aggression (r = 0.7

}, doi = {10.1038/s41380-020-00987-x}, author = {van Dongen, Jenny and Hagenbeek, Fiona A and Suderman, Matthew and Roetman, Peter J and Sugden, Karen and Chiocchetti, Andreas G and Ismail, Khadeeja and Mulder, Rosa H and Hafferty, Jonathan D and Adams, Mark J and Walker, Rosie M and Morris, Stewart W and Lahti, Jari and K{\"u}pers, Leanne K and Escaramis, Georgia and Alemany, Silvia and Jan Bonder, Marc and Meijer, Mandy and Ip, Hill F and Jansen, Rick and Baselmans, Bart M L and Parmar, Priyanka and Lowry, Estelle and Streit, Fabian and Sirignano, Lea and Send, Tabea S and Frank, Josef and Jylh{\"a}v{\"a}, Juulia and Wang, Yunzhang and Mishra, Pashupati Prasad and Colins, Olivier F and Corcoran, David L and Poulton, Richie and Mill, Jonathan and Hannon, Eilis and Arseneault, Louise and Korhonen, Tellervo and Vuoksimaa, Eero and Felix, Janine F and Bakermans-Kranenburg, Marian J and Campbell, Archie and Czamara, Darina and Binder, Elisabeth and Corpeleijn, Eva and Gonzalez, Juan R and Grazuleviciene, Regina and Gutzkow, Kristine B and Evandt, Jorunn and Vafeiadi, Marina and Klein, Marieke and van der Meer, Dennis and Ligthart, Lannie and BIOS Consortium and Kluft, Cornelis and Davies, Gareth E and Hakulinen, Christian and Keltikangas-J{\"a}rvinen, Liisa and Franke, Barbara and Freitag, Christine M and Konrad, Kerstin and Hervas, Amaia and Fern{\'a}ndez-Rivas, Aranzazu and Vetro, Agnes and Raitakari, Olli and Lehtim{\"a}ki, Terho and Vermeiren, Robert and Strandberg, Timo and R{\"a}ikk{\"o}nen, Katri and Snieder, Harold and Witt, Stephanie H and Deuschle, Michael and Pedersen, Nancy L and H{\"a}gg, Sara and Sunyer, Jordi and Franke, Lude and Kaprio, Jaakko and Ollikainen, Miina and Moffitt, Terrie E and Tiemeier, Henning and van IJzendoorn, Marinus H and Relton, Caroline and Vrijheid, Martine and Sebert, Sylvain and Jarvelin, Marjo-Riitta and Caspi, Avshalom and Evans, Kathryn L and McIntosh, Andrew M and Bartels, Meike and Boomsma, Dorret I} } @article {437, title = {Genetic association study of childhood aggression across raters, instruments, and age}, journal = {Translational Psychiatry}, volume = {11}, year = {2021}, pages = {413}, abstract = {

Childhood aggressive behavior (AGG) has a substantial heritability of around 50\%. Here we present a genome-wide association meta-analysis (GWAMA) of childhood AGG, in which all phenotype measures across childhood ages from multiple assessors were included. We analyzed phenotype assessments for a total of 328 935 observations from 87 485 children aged between 1.5 and 18 years, while accounting for sample overlap. We also meta-analyzed within subsets of the data, i.e., within rater, instrument and age. SNP-heritability for the overall meta-analysis (AGGoverall) was 3.31\% (SE = 0.0038). We found no genome-wide significant SNPs for AGGoverall. The gene-based analysis returned three significant genes: ST3GAL3 (P = 1.6E-06), PCDH7 (P = 2.0E-06), and IPO13 (P = 2.5E-06). All three genes have previously been associated with educational traits. Polygenic scores based on our GWAMA significantly predicted aggression in a holdout sample of children (variance explained = 0.44\%) and in retrospectively assessed childhood aggression (variance explained = 0.20\%). Genetic correlations (rg) among rater-specific assessment of AGG ranged from rg = 0.46 between self- and teacher-assessment to rg = 0.81 between mother- and teacher-assessment. We obtained moderate-to-strong rgs with selected phenotypes from multiple domains, but hardly with any of the classical biomarkers thought to be associated with AGG. Significant genetic correlations were observed with most psychiatric and psychological traits (range [Formula: see text]: 0.19-1.00), except for obsessive-compulsive disorder. Aggression had a negative genetic correlation (rg = \ -0.5) with cognitive traits and age at first birth. Aggression was strongly genetically correlated with smoking phenotypes (range [Formula: see text]: 0.46-0.60). The genetic correlations between aggression and psychiatric disorders were weaker for teacher-reported AGG than for mother- and self-reported AGG. The current GWAMA of childhood aggression provides a powerful tool to interrogate the rater-specific genetic etiology of AGG.

}, doi = {10.1038/s41398-021-01480-x}, author = {Ip, Hill F and Van der Laan, Camiel M and Krapohl, Eva M L and Brikell, Isabell and S{\'a}nchez-Mora, Cristina and Nolte, Ilja M and St Pourcain, Beate and Bolhuis, Koen and Palviainen, Teemu and Zafarmand, Hadi and Colodro-Conde, Luc{\'\i}a and Gordon, Scott and Zayats, Tetyana and Aliev, Fazil and Jiang, Chang and Wang, Carol A and Saunders, Gretchen and Karhunen, Ville and Hammerschlag, Anke R and Adkins, Daniel E and Border, Richard and Peterson, Roseann E and Prinz, Joseph A and Thiering, Elisabeth and Sepp{\"a}l{\"a}, Ilkka and Vilor-Tejedor, Nat{\`a}lia and Ahluwalia, Tarunveer S and Day, Felix R and Hottenga, Jouke-Jan and Allegrini, Andrea G and Rimfeld, Kaili and Chen, Qi and Lu, Yi and Martin, Joanna and Soler Artigas, Mar{\'\i}a and Rovira, Paula and Bosch, Rosa and Espa{\~n}ol, Gemma and Ramos Quiroga, Josep Antoni and Neumann, Alexander and Ensink, Judith and Grasby, Katrina and Morosoli, Jos{\'e} J and Tong, Xiaoran and Marrington, Shelby and Middeldorp, Christel and Scott, James G and Vinkhuyzen, Anna and Shabalin, Andrey A and Corley, Robin and Evans, Luke M and Sugden, Karen and Alemany, Silvia and Sass, L{\ae}rke and Vinding, Rebecca and Ruth, Kate and Tyrrell, Jess and Davies, Gareth E and Ehli, Erik A and Hagenbeek, Fiona A and de Zeeuw, Eveline and van Beijsterveldt, Toos C E M and Larsson, Henrik and Snieder, Harold and Verhulst, Frank C and Amin, Najaf and Whipp, Alyce M and Korhonen, Tellervo and Vuoksimaa, Eero and Rose, Richard J and Uitterlinden, Andre G and Heath, Andrew C and Madden, Pamela and Haavik, Jan and Harris, Jennifer R and Helgeland, {\O}yvind and Johansson, Stefan and Knudsen, Gun Peggy S and Njolstad, Pal Rasmus and Lu, Qing and Rodriguez, Alina and Henders, Anjali K and Mamun, Abdullah and Najman, Jackob M and Brown, Sandy and Hopfer, Christian and Krauter, Kenneth and Reynolds, Chandra and Smolen, Andrew and Stallings, Michael and Wadsworth, Sally and Wall, Tamara L and Silberg, Judy L and Miller, Allison and Keltikangas-J{\"a}rvinen, Liisa and Hakulinen, Christian and Pulkki-R\aaback, Laura and Havdahl, Alexandra and Magnus, Per and Raitakari, Olli T and Perry, John R B and Llop, Sabrina and Lopez-Espinosa, Maria-Jose and B{\o}nnelykke, Klaus and Bisgaard, Hans and Sunyer, Jordi and Lehtim{\"a}ki, Terho and Arseneault, Louise and Standl, Marie and Heinrich, Joachim and Boden, Joseph and Pearson, John and Horwood, L John and Kennedy, Martin and Poulton, Richie and Eaves, Lindon J and Maes, Hermine H and Hewitt, John and Copeland, William E and Costello, Elizabeth J and Williams, Gail M and Wray, Naomi and Jarvelin, Marjo-Riitta and McGue, Matt and Iacono, William and Caspi, Avshalom and Moffitt, Terrie E and Whitehouse, Andrew and Pennell, Craig E and Klump, Kelly L and Burt, S Alexandra and Dick, Danielle M and Reichborn-Kjennerud, Ted and Martin, Nicholas G and Medland, Sarah E and Vrijkotte, Tanja and Kaprio, Jaakko and Tiemeier, Henning and Davey Smith, George and Hartman, Catharina A and Oldehinkel, Albertine J and Casas, Miquel and Ribas{\'e}s, Marta and Lichtenstein, Paul and Lundstr{\"o}m, Sebastian and Plomin, Robert and Bartels, Meike and Nivard, Michel G and Boomsma, Dorret I} } @article {436, title = {Large-scale association analyses identify host factors influencing human gut microbiome composition}, journal = {Nature Genetics}, volume = {53}, year = {2021}, pages = {156{\textendash}165}, abstract = {

To study the effect of host genetics on gut microbiome composition, the MiBioGen consortium curated and analyzed genome-wide genotypes and 16S fecal microbiome data from 18,340 individuals (24 cohorts). Microbial composition showed high variability across cohorts: only 9 of 410 genera were detected in more than 95\% of samples. A genome-wide association study of host genetic variation regarding microbial taxa identified 31 loci affecting the microbiome at a genome-wide significant (P \< 5 $\times$ 10-8) threshold. One locus, the lactase (LCT) gene locus, reached study-wide significance (genome-wide association study signal: P = 1.28 $\times$ 10-20), and it showed an age-dependent association with Bifidobacterium abundance. Other associations were suggestive (1.95 $\times$ 10-10 \< P \< 5 $\times$ 10-8) but enriched for taxa showing high heritability and for genes expressed in the intestine and brain. A phenome-wide association study and Mendelian randomization identified enrichment of microbiome trait loci in the metabolic, nutrition and environment domains and suggested the microbiome might have causal effects in ulcerative colitis and rheumatoid arthritis.

}, doi = {10.1038/s41588-020-00763-1}, author = {Kurilshikov, Alexander and Medina-Gomez, Carolina and Bacigalupe, Rodrigo and Radjabzadeh, Djawad and Wang, Jun and Demirkan, Ayse and Le Roy, Caroline I and Raygoza Garay, Juan Antonio and Finnicum, Casey T and Liu, Xingrong and Zhernakova, Daria V and Bonder, Marc Jan and Hansen, Tue H and Frost, Fabian and R{\"u}hlemann, Malte C and Turpin, Williams and Moon, Jee-Young and Kim, Han-Na and L{\"u}ll, Kreete and Barkan, Elad and Shah, Shiraz A and Fornage, Myriam and Szopinska-Tokov, Joanna and Wallen, Zachary D and Borisevich, Dmitrii and Agreus, Lars and Andreasson, Anna and Bang, Corinna and Bedrani, Larbi and Bell, Jordana T and Bisgaard, Hans and Boehnke, Michael and Boomsma, Dorret I and Burk, Robert D and Claringbould, Annique and Croitoru, Kenneth and Davies, Gareth E and van Duijn, Cornelia M and Duijts, Liesbeth and Falony, Gwen and Fu, Jingyuan and van der Graaf, Adriaan and Hansen, Torben and Homuth, Georg and Hughes, David A and Ijzerman, Richard G and Jackson, Matthew A and Jaddoe, Vincent W V and Joossens, Marie and J{\o}rgensen, Torben and Keszthelyi, Daniel and Knight, Rob and Laakso, Markku and Laudes, Matthias and Launer, Lenore J and Lieb, Wolfgang and Lusis, Aldons J and Masclee, Ad A M and Moll, Henriette A and Mujagic, Zlatan and Qibin, Qi and Rothschild, Daphna and Shin, Hocheol and S{\o}rensen, S{\o}ren J and Steves, Claire J and Thorsen, Jonathan and Timpson, Nicholas J and Tito, Raul Y and Vieira-Silva, Sara and V{\"o}lker, Uwe and V{\"o}lzke, Henry and V{\~o}sa, Urmo and Wade, Kaitlin H and Walter, Susanna and Watanabe, Kyoko and Weiss, Stefan and Weiss, Frank U and Weissbrod, Omer and Westra, Harm-Jan and Willemsen, Gonneke and Payami, Haydeh and Jonkers, Daisy M A E and Arias Vasquez, Alejandro and de Geus, Eco J C and Meyer, Katie A and Stokholm, Jakob and Segal, Eran and Org, Elin and Wijmenga, Cisca and Kim, Hyung-Lae and Kaplan, Robert C and Spector, Tim D and Uitterlinden, Andre G and Rivadeneira, Fernando and Franke, Andre and Lerch, Markus M and Franke, Lude and Sanna, Serena and D{\textquoteright}Amato, Mauro and Pedersen, Oluf and Paterson, Andrew D and Kraaij, Robert and Raes, Jeroen and Zhernakova, Alexandra} } @article {445, title = {Large-scale collaboration in ENIGMA-EEG: A perspective on the meta-analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity}, journal = {Brain and Behavior}, volume = {11}, year = {2021}, pages = {e02188}, abstract = {

BACKGROUND AND PURPOSE: The ENIGMA-EEG working group was established to enable large-scale international collaborations among cohorts that investigate the genetics of brain function measured with electroencephalography (EEG). In this perspective, we will discuss why analyzing the genetics of functional brain activity may be crucial for understanding how neurological and psychiatric liability genes affect the brain.

METHODS: We summarize how we have performed our currently largest genome-wide association study of oscillatory brain activity in EEG recordings by meta-analyzing the results across five participating cohorts, resulting in the first genome-wide significant hits for oscillatory brain function located in/near genes that were previously associated with psychiatric disorders. We describe how we have tackled methodological issues surrounding genetic meta-analysis of EEG features. We discuss the importance of harmonizing EEG signal processing, cleaning, and feature extraction. Finally, we explain our selection of EEG features currently being investigated, including the temporal dynamics of oscillations and the connectivity network based on synchronization of oscillations.

RESULTS: We present data that show how to perform systematic quality control and evaluate how choices in reference electrode and montage affect individual differences in EEG parameters.

CONCLUSION: The long list of potential challenges to our large-scale meta-analytic approach requires extensive effort and organization between participating cohorts; however, our perspective shows that these challenges are surmountable. Our perspective argues that elucidating the genetic of EEG oscillatory activity is a worthwhile effort in order to elucidate the pathway from gene to disease liability.

}, keywords = {brain disorders, electroencephalography, ENIGMA, harmonization, imaging genetics, open science}, doi = {10.1002/brb3.2188}, author = {Smit, Dirk J A and Andreassen, Ole A and Boomsma, Dorret I and Burwell, Scott J and Chorlian, David B and de Geus, Eco J C and Elvs\aashagen, Torbj{\o}rn and Gordon, Reyna L and Harper, Jeremy and Hegerl, Ulrich and Hensch, Tilman and Iacono, William G and Jawinski, Philippe and J{\"o}nsson, Erik G and Luykx, Jurjen J and Magne, Cyrille L and Malone, Stephen M and Medland, Sarah E and Meyers, Jacquelyn L and Moberget, Torgeir and Porjesz, Bernice and Sander, Christian and Sisodiya, Sanjay M and Thompson, Paul M and van Beijsterveldt, Catharina E M and van Dellen, Edwin and Via, Marc and Wright, Margaret J} } @article {443, title = {Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability}, journal = {Nature Communications}, volume = {12}, year = {2021}, pages = {24}, abstract = {

Differences between sexes contribute to variation in the levels of fasting glucose and insulin. Epidemiological studies established a higher prevalence of impaired fasting glucose in men and impaired glucose tolerance in women, however, the genetic component underlying this phenomenon is not established. We assess sex-dimorphic (73,089/50,404 women and 67,506/47,806 men) and sex-combined (151,188/105,056 individuals) fasting glucose/fasting insulin genetic effects via genome-wide association study meta-analyses in individuals of European descent without diabetes. Here we report sex dimorphism in allelic effects on fasting insulin at IRS1 and ZNF12 loci, the latter showing higher RNA expression in whole blood in women compared to men. We also observe sex-homogeneous effects on fasting glucose at seven novel loci. Fasting insulin in women shows stronger genetic correlations than in men with waist-to-hip ratio and anorexia nervosa. Furthermore, waist-to-hip ratio is causally related to insulin resistance in women, but not in men. These results position dissection of metabolic and glycemic health sex dimorphism as a steppingstone for understanding differences in genetic effects between women and men in related phenotypes.

}, doi = {10.1038/s41467-020-19366-9}, author = {Lagou, Vasiliki and M{\"a}gi, Reedik and Hottenga, Jouke- Jan and Grallert, Harald and Perry, John R B and Bouatia-Naji, Nabila and Marullo, Letizia and Rybin, Denis and Jansen, Rick and Min, Josine L and Dimas, Antigone S and Ulrich, Anna and Zudina, Liudmila and G\aadin, Jesper R and Jiang, Longda and Faggian, Alessia and Bonnefond, Am{\'e}lie and Fadista, Joao and Stathopoulou, Maria G and Isaacs, Aaron and Willems, Sara M and Navarro, Pau and Tanaka, Toshiko and Jackson, Anne U and Montasser, May E and O{\textquoteright}Connell, Jeff R and Bielak, Lawrence F and Webster, Rebecca J and Saxena, Richa and Stafford, Jeanette M and Pourcain, Beate St and Timpson, Nicholas J and Salo, Perttu and Shin, So-Youn and Amin, Najaf and Smith, Albert V and Li, Guo and Verweij, Niek and Goel, Anuj and Ford, Ian and Johnson, Paul C D and Johnson, Toby and Kapur, Karen and Thorleifsson, Gudmar and Strawbridge, Rona J and Rasmussen-Torvik, Laura J and Esko, T{\~o}nu and Mihailov, Evelin and Fall, Tove and Fraser, Ross M and Mahajan, Anubha and Kanoni, Stavroula and Giedraitis, Vilmantas and Kleber, Marcus E and Silbernagel, G{\"u}nther and Meyer, Julia and M{\"u}ller-Nurasyid, Martina and Ganna, Andrea and Sarin, Antti-Pekka and Yengo, Loic and Shungin, Dmitry and Luan, Jian{\textquoteright}an and Horikoshi, Momoko and An, Ping and Sanna, Serena and Boettcher, Yvonne and Rayner, N William and Nolte, Ilja M and Zemunik, Tatijana and van Iperen, Erik and Kovacs, Peter and Hastie, Nicholas D and Wild, Sarah H and McLachlan, Stela and Campbell, Susan and Polasek, Ozren and Carlson, Olga and Egan, Josephine and Kiess, Wieland and Willemsen, Gonneke and Kuusisto, Johanna and Laakso, Markku and Dimitriou, Maria and Hicks, Andrew A and Rauramaa, Rainer and Bandinelli, Stefania and Thorand, Barbara and Liu, Yongmei and Miljkovic, Iva and Lind, Lars and Doney, Alex and Perola, Markus and Hingorani, Aroon and Kivimaki, Mika and Kumari, Meena and Bennett, Amanda J and Groves, Christopher J and Herder, Christian and Koistinen, Heikki A and Kinnunen, Leena and Faire, Ulf de and Bakker, Stephan J L and Uusitupa, Matti and Palmer, Colin N A and Jukema, J Wouter and Sattar, Naveed and Pouta, Anneli and Snieder, Harold and Boerwinkle, Eric and Pankow, James S and Magnusson, Patrik K and Krus, Ulrika and Scapoli, Chiara and de Geus, Eco J C N and Bl{\"u}her, Matthias and Wolffenbuttel, Bruce H R and Province, Michael A and Abecasis, Goncalo R and Meigs, James B and Hovingh, G Kees and Lindstr{\"o}m, Jaana and Wilson, James F and Wright, Alan F and Dedoussis, George V and Bornstein, Stefan R and Schwarz, Peter E H and T{\"o}njes, Anke and Winkelmann, Bernhard R and Boehm, Bernhard O and M{\"a}rz, Winfried and Metspalu, Andres and Price, Jackie F and Deloukas, Panos and K{\"o}rner, Antje and Lakka, Timo A and Keinanen-Kiukaanniemi, Sirkka M and Saaristo, Timo E and Bergman, Richard N and Tuomilehto, Jaakko and Wareham, Nicholas J and Langenberg, Claudia and M{\"a}nnist{\"o}, Satu and Franks, Paul W and Hayward, Caroline and Vitart, Veronique and Kaprio, Jaakko and Visvikis-Siest, Sophie and Balkau, Beverley and Altshuler, David and Rudan, Igor and Stumvoll, Michael and Campbell, Harry and van Duijn, Cornelia M and Gieger, Christian and Illig, Thomas and Ferrucci, Luigi and Pedersen, Nancy L and Pramstaller, Peter P and Boehnke, Michael and Frayling, Timothy M and Shuldiner, Alan R and Peyser, Patricia A and Kardia, Sharon L R and Palmer, Lyle J and Penninx, Brenda W and Meneton, Pierre and Harris, Tamara B and Navis, Gerjan and Harst, Pim van der and Smith, George Davey and Forouhi, Nita G and Loos, Ruth J F and Salomaa, Veikko and Soranzo, Nicole and Boomsma, Dorret I and Groop, Leif and Tuomi, Tiinamaija and Hofman, Albert and Munroe, Patricia B and Gudnason, Vilmundur and Siscovick, David S and Watkins, Hugh and Lecoeur, Cecile and Vollenweider, Peter and Franco-Cereceda, Anders and Eriksson, Per and Jarvelin, Marjo-Riitta and Stefansson, Kari and Hamsten, Anders and Nicholson, George and Karpe, Fredrik and Dermitzakis, Emmanouil T and Lindgren, Cecilia M and McCarthy, Mark I and Froguel, Philippe and Kaakinen, Marika A and Lyssenko, Valeriya and Watanabe, Richard M and Ingelsson, Erik and Florez, Jose C and Dupuis, Jos{\'e}e and Barroso, In{\^e}s and Morris, Andrew P and Prokopenko, Inga and Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC)} } @article {474, title = {The genetic architecture of the human cerebral cortex}, journal = {Science}, volume = {367}, year = {2020}, pages = {eaay6690}, abstract = {

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 237 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson\’s disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.

}, doi = {10.1126/science.aay6690}, url = {https://www.science.org/doi/abs/10.1126/science.aay6690}, author = {Katrina L. Grasby and Neda Jahanshad and Jodie N. Painter and Luc{\'\i}a Colodro-Conde and Janita Bralten and Derrek P. Hibar and Penelope A. Lind and Fabrizio Pizzagalli and Christopher R. K. Ching and +357Authors} } @article {290, title = {The Complex Role of Parental Separation in the Association between Family Conflict and Child Problem Behavior}, journal = {Journal of Clinical Child \& Adolescent Psychology}, year = {2019}, pages = {1-15}, abstract = {

Parental separation is a major adverse childhood experience. Parental separation is generally preceded by conflict, which is itself a risk factor for child problem behavior. Whether parental separation independent of conflict has negative effects on child problem behavior is unclear. This study was embedded in Generation R, a population-based cohort followed from fetal life until age 9\ years. Information on family conflict was obtained from 5,808 mothers and fathers. The 4-way decomposition method was used to apportion the effects of prenatal family conflict and parental separation on child problem behavior into 4 nonoverlapping components. Structural equation modeling was used to test bidirectional effects of child problem behavior and family conflict over time. Family conflict from pregnancy onward and parental separation each strongly predicted child problem behavior up to preadolescence according to maternal and paternal ratings. Using the 4-way decomposition method, we found evidence for a strong direct effect of prenatal family conflict on child problem behavior, for reference interaction, and for mediated interaction. The evidence for interaction implies that prenatal family conflict increased the children\’s vulnerability to the harmful effect of parental separation. There was no evidence of a pure indirect effect of parental separation on child problem behavior. Overall, results indicated that if parental separation occurs in families with low levels of conflict, parental separation does not predict more child problem behavior. Moreover, the bidirectional pattern suggested that child problem behavior influences the persistence of family conflict.

}, doi = {10.1080/15374416.2018.1520118}, url = {https://doi.org/10.1080/15374416.2018.1520118}, author = {Yllza Xerxa and Leslie A. Rescorla and Fadila Serdarevic and Marinus H. Van IJzendorn and Vincent W. Jaddoe and Frank C. Verhulst and Maartje P.C.M. Luijk and Henning Tiemeier} } @article {287, title = {Interaction of schizophrenia polygenic risk and cortisol level on pre-adolescent brain structure}, journal = {Psychoneuroendocrinology}, volume = {101}, year = {2019}, pages = {295 - 303}, abstract = {

The etiology of schizophrenia is multi-factorial with early neurodevelopmental antecedents, likely to result from a complex interaction of genetic and environmental risk. However, few studies have examined how schizophrenia polygenic risk scores (PRS) are moderated by environmental factors in shaping neurodevelopmental brain structure, prior to the onset of psychotic symptoms. Here, we examined whether hair cortisol, a quantitative metric of chronic stress, moderated the association between genetic risk for schizophrenia and pre-adolescent brain structure. This study was embedded within the Generation R Study, involving pre-adolescents of European ancestry assessed regarding schizophrenia PRS, hair cortisol, and brain imaging (n\ =\ 498 structural; n\ =\ 526 diffusion tensor imaging). Linear regression was performed to determine the association between schizophrenia PRS, hair cortisol level, and brain imaging outcomes. Although no single measure exceeded the multiple testing threshold, nominally significant interactions were observed for total ventricle volume (Pinteraction = 0.02) and global white matter microstructure (Pinteraction = 0.01) \– two of the most well replicated brain structural findings in schizophrenia. These findings provide suggestive evidence for the joint effects of schizophrenia liability and cortisol levels on brain correlates in the pediatric general population. Given the widely replicated finding of ventricular enlargement and lower white matter integrity among schizophrenia patients, our findings generate novel hypotheses for future research on gene-environment interactions affecting the neurodevelopmental pathophysiology of schizophrenia.

}, keywords = {Diffusion tensor imaging, Gene-environment, Genetic, Neuroimaging, Psychosis, Stress}, issn = {0306-4530}, doi = {https://doi.org/10.1016/j.psyneuen.2018.12.231}, url = {http://www.sciencedirect.com/science/article/pii/S0306453018308862}, author = {Koen Bolhuis and Henning Tiemeier and Philip R. Jansen and Ryan L. Muetzel and Alexander Neumann and Manon H.J. Hillegers and Erica T.L. van den Akker and Elisabeth F.C. van Rossum and Vincent W.V. Jaddoe and Meike W. Vernooij and Tonya White and Steven A. Kushner} } @article {409, title = {Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight}, journal = {Nature Communications}, volume = {10}, year = {2019}, pages = {1893}, abstract = {

Birthweight is associated with health outcomes across the life course, DNA methylation may be an underlying mechanism. In this meta-analysis of epigenome-wide association studies of 8,825 neonates from 24 birth cohorts in the Pregnancy And Childhood Epigenetics Consortium, we find that DNA methylation in neonatal blood is associated with birthweight at 914 sites, with a difference in birthweight ranging from \−183 to 178 grams per 10\% increase in methylation (PBonferroni\ \<\ 1.06\ x\ 10\−7). In additional analyses in 7,278 participants, \<1.3\% of birthweight-associated differential methylation is also observed in childhood and adolescence, but not adulthood.\ Birthweight-related CpGs overlap with some Bonferroni-significant CpGs that were previously reported to be related to maternal smoking (55/914, p\ = 6.12\ x\ 10\−74) and BMI in pregnancy (3/914, p = 1.13x10\−3), but not with those related to folate levels in pregnancy. Whether the associations that we observe are causal or explained by confounding or fetal growth influencing DNA methylation (i.e. reverse causality) requires further research.

}, doi = {10.1038/s41467-019-09671-3}, author = {K{\"u}pers, Leanne K and Monnereau, Claire and Sharp, Gemma C and Yousefi, Paul and Salas, Lucas A and Ghantous, Akram and Page, Christian M and Reese, Sarah E and Wilcox, Allen J and Czamara, Darina and Starling, Anne P and Novoloaca, Alexei and Lent, Samantha and Roy, Ritu and Hoyo, Cathrine and Breton, Carrie V and Allard, Catherine and Just, Allan C and Bakulski, Kelly M and Holloway, John W and Everson, Todd M and Xu, Cheng-Jian and Huang, Rae-Chi and van der Plaat, Diana A and Wielscher, Matthias and Merid, Simon Kebede and Ullemar, Vilhelmina and Rezwan, Faisal I and Lahti, Jari and van Dongen, Jenny and Langie, Sabine A S and Richardson, Tom G and Magnus, Maria C and Nohr, Ellen A and Xu, Zongli and Duijts, Liesbeth and Zhao, Shanshan and Zhang, Weiming and Plusquin, Michelle and DeMeo, Dawn L and Solomon, Olivia and Heimovaara, Joosje H and Jima, Dereje D and Gao, Lu and Bustamante, Mariona and Perron, Patrice and Wright, Robert O and Hertz-Picciotto, Irva and Zhang, Hongmei and Karagas, Margaret R and Gehring, Ulrike and Marsit, Carmen J and Beilin, Lawrence J and Vonk, Judith M and Jarvelin, Marjo-Riitta and Bergstr{\"o}m, Anna and {\"O}rtqvist, Anne K and Ewart, Susan and Villa, Pia M and Moore, Sophie E and Willemsen, Gonneke and Standaert, Arnout R L and H\aaberg, Siri E and S{\o}rensen, Thorkild I A and Taylor, Jack A and R{\"a}ikk{\"o}nen, Katri and Yang, Ivana V and Kechris, Katerina and Nawrot, Tim S and Silver, Matt J and Gong, Yun Yun and Richiardi, Lorenzo and Kogevinas, Manolis and Litonjua, Augusto A and Eskenazi, Brenda and Huen, Karen and Mbarek, Hamdi and Maguire, Rachel L and Dwyer, Terence and Vrijheid, Martine and Bouchard, Luigi and Baccarelli, Andrea A and Croen, Lisa A and Karmaus, Wilfried and Anderson, Denise and de Vries, Maaike and Sebert, Sylvain and Kere, Juha and Karlsson, Robert and Arshad, Syed Hasan and H{\"a}m{\"a}l{\"a}inen, Esa and Routledge, Michael N and Boomsma, Dorret I and Feinberg, Andrew P and Newschaffer, Craig J and Govarts, Eva and Moisse, Matthieu and Fallin, M Daniele and Mel{\'e}n, Erik and Prentice, Andrew M and Kajantie, Eero and Almqvist, Catarina and Oken, Emily and Dabelea, Dana and Boezen, H Marike and Melton, Phillip E and Wright, Rosalind J and Koppelman, Gerard H and Trevisi, Letizia and Hivert, Marie-France and Sunyer, Jordi and Munthe-Kaas, Monica C and Murphy, Susan K and Corpeleijn, Eva and Wiemels, Joseph and Holland, Nina and Herceg, Zdenko and Binder, Elisabeth B and Davey Smith, George and Jaddoe, Vincent W V and Lie, Rolv T and Nystad, Wenche and London, Stephanie J and Lawlor, Debbie A and Relton, Caroline L and Snieder, Harold and Felix, Janine F} } @article {408, title = {Testing bidirectional associations between childhood aggression and BMI: Results from three cohorts}, journal = {Obesity (Silver Spring)}, volume = {27}, year = {2019}, pages = {822{\textendash}829}, abstract = {

OBJECTIVE: This study examined the prospective, potentially bidirectional association of aggressive behavior with BMI and body composition across childhood in three population-based cohorts.

METHODS: Repeated measures of aggression and BMI were available from the Generation R Study between ages 6 and 10 years (N = 3,974), the Netherlands Twin Register (NTR) between ages 7 and 10 years (N = 10,328), and the Swedish Twin Study of Child and Adolescent Development (TCHAD) between ages 9 and 14 years (N = 1,462). In all samples, aggression was assessed with the Child Behavior Checklist. Fat mass and fat-free mass were available in the Generation R Study. Associations were examined with cross-lagged modeling.

RESULTS: Aggressive behavior at baseline was associated with higher BMI at follow-up in the Generation R Study ($\beta$ = 0.02, 95\% CI: 0.00 to 0.04), in NTR ($\beta$ = 0.04, 95\% CI: 0.02 to 0.06), and in TCHAD ($\beta$ = 0.03, 95\% CI: -0.02 to 0.07). Aggressive behavior was prospectively associated with higher fat mass ($\beta$ = 0.03, 95\% CI: 0.01 to 0.05) but not fat-free mass. There was no evidence that BMI or body composition preceded aggressive behavior.

CONCLUSIONS: More aggressive behavior was prospectively associated with higher BMI and fat mass. This suggests that aggression contributes to the obesity problem, and future research should study whether these behavioral pathways to childhood obesity are modifiable.

}, doi = {10.1002/oby.22419}, author = {Derks, Ivonne P M and Bolhuis, Koen and Yalcin, Zeynep and Gaillard, Romy and Hillegers, Manon H J and Larsson, Henrik and Lundstr{\"o}m, Sebastian and Lichtenstein, Paul and van Beijsterveldt, Catharina E M and Bartels, Meike and Boomsma, Dorret I and Tiemeier, Henning and Jansen, Pauline W} } @article {249, title = {Characterizing the Relation Between Expression QTLs and Complex Traits: Exploring the Role of Tissue Specificity}, journal = {Behavior Genetics}, volume = {48}, year = {2018}, month = {Sep}, pages = {374{\textendash}385}, abstract = {

Measurement of gene expression levels and detection of eQTLs (expression quantitative trait loci) are difficult in tissues with limited sample availability, such as the brain. However, eQTL overlap between tissues might be high, which would allow for inference of eQTL functioning in the brain via eQTLs detected in readily accessible tissues, e.g. whole blood. Applying Stratified Linkage Disequilibrium Score Regression (SLDSR), we quantified the enrichment in polygenic signal of blood and brain eQTLs in genome-wide association studies (GWAS) of 11 complex traits. We looked at eQTLs discovered in 44 tissues by the Genotype-Tissue Expression (GTEx) consortium and two other large representative studies, and found no tissue-specific eQTL effects. Next, we integrated the GTEx eQTLs with regions associated with tissue-specific histone modifiers, and interrogated their effect on rheumatoid arthritis and schizophrenia. We observed substantially enriched effects of eQTLs located inside regions bearing modification H3K4me1 on schizophrenia, but not rheumatoid arthritis, and not tissue-specific. Finally, we extracted eQTLs associated with tissue-specific differentially expressed genes and determined their effects on rheumatoid arthritis and schizophrenia, these analysis revealed limited enrichment of eQTLs associated with gene specifically expressed in specific tissues. Our results pointed to strong enrichment of eQTLs in their effect on complex traits, without evidence for tissue-specific effects. Lack of tissue-specificity can be either due to a lack of statistical power or due to the true absence of tissue-specific effects. We conclude that eQTLs are strongly enriched in GWAS signal and that the enrichment is not specific to the eQTL discovery tissue. Until sample sizes for eQTL discovery grow sufficiently large, working with relatively accessible tissues as proxy for eQTL discovery is sensible and restricting lookups for GWAS hits to a specific tissue for which limited samples are available might not be advisable.

}, issn = {1573-3297}, doi = {10.1007/s10519-018-9914-2}, url = {https://doi.org/10.1007/s10519-018-9914-2}, author = {Ip, Hill F. and Jansen, Rick and Abdellaoui, Abdel and Meike Bartels and UK Brain Expression Consortium and Ryten, Mina and Hardy, John and Weale, Michael E. and Ramasamy, Adaikalavan and Forabosco, Paola and Matarin, Mar and Vandrovcova, Jana and Botia, Juan A. and D{\textquoteright}Sa, Karishma and Guelfi, Sebastian and Smith, Colin and Walker, Robert and Reynolds, Regina H. and Zhang, David and Trabzuni, Daniah and Dorret I. Boomsma and Michel G. Nivard} } @article {261, title = {DNA methylation age is associated with an altered hemostatic profile in a multi-ethnic meta-analysis}, journal = {Blood}, year = {2018}, abstract = {

Elevated epigenetic age is associated with an altered hemostatic factor profile and lower clotting time (aPTT).DNA methylation age is associated with mRNA levels of fibrinogen in multiple tissues. Many hemostatic factors are associated with age and age-related diseases, however much remains unknown about the biological mechanisms linking aging and hemostatic factors. DNA methylation is a novel means by which to assess epigenetic aging, which is a measure of age and the aging processes as determined by altered epigenetic states. We used a meta-analysis approach to examine the association between measures of epigenetic aging and hemostatic factors, as well as a clotting time measure. For fibrinogen, we used European and African-ancestry participants who were meta-analyzed separately and combined via a random effects meta-analysis. All other measures only included participants of European-ancestry. We found that 1-year higher extrinsic epigenetic age as compared to chronological age was associated with higher fibrinogen (0.004 g/L per year; 95\% CI: 0.001, 0.007; P = 0.01) and plasminogen activator inhibitor 1 (PAI-1; 0.13 U/mL per year; 95\% CI: 0.07, 0.20; P = 6.6x10-5) concentrations as well as lower activated partial thromboplastin time, a measure of clotting time. We replicated PAI-1 associations using an independent cohort. To further elucidate potential functional mechanisms we associated epigenetic aging with expression levels of the PAI-1 protein encoding gene (SERPINE1) and the three fibrinogen subunit-encoding genes (FGA, FGG, and FGB), in both peripheral blood and aorta intima-media samples. We observed associations between accelerated epigenetic aging and transcription of FGG in both tissues. Collectively, our results indicate that accelerated epigenetic aging is associated with a pro-coagulation hemostatic profile, and that epigenetic aging may regulate hemostasis in part via gene transcription.

}, issn = {0006-4971}, doi = {10.1182/blood-2018-02-831347}, url = {http://www.bloodjournal.org/content/early/2018/07/24/blood-2018-02-831347}, author = {Ward-Caviness, Cavin K. and Huffman, Jennifer E. and Evertt, Karl and Germain, Marine and van Dongen, Jenny and Hill, W. David and Jhun, Min A. and Brody, Jennifer A. and Ghanbari, Mohsen and Du, Lei and Roetker, Nicholas S. and de Vries, Paul S. and Waldenberger, Melanie and Gieger, Christian and Wolf, Petra and Prokisch, Holger and Koenig, Wolfgang and O{\textquoteright}Donnell, Christopher J. and Levy, Daniel and Liu, Chunyu and Truong, Vinh and Wells, Philip S. and Tr{\'e}gou{\"e}t, David-Alexandre and Tang, Weihong and Morrison, Alanna C. and Boerwinkle, Eric and Wiggins, Kerri L. and McKnight, Barbara and Guo, Xiuqing and Psaty, Bruce M. and Sotoodenia, Nona and Dorret I. Boomsma and Gonneke Willemsen and Lannie Ligthart and Deary, Ian J. and Zhao, Wei and Ware, Erin B. and Kardia, Sharon L.R. and Joyce B.J. Van Meurs and Uitterlinden, Andre G. and Franco, Oscar H. and Eriksson, Per and Franco-Cereceda, Anders and Pankow, James S. and Johnson, Andrew D. and Gagnon, France and Morange, Pierre-Emmanuel and de Geus, Eco J.C. and Starr, John M. and Smith, Jennifer A. and Dehghan, Abbas and Bj{\"o}rck, Hanna M. and Smith, Nicholas L. and Peters, Annette} } @article {235, title = {Genome-wide analysis of DNA methylation in buccal cells: a study of monozygotic twins and mQTLs}, journal = {Epigenetics {\&} Chromatin}, volume = {11}, year = {2018}, month = {Sep}, pages = {54}, abstract = {

DNA methylation arrays are widely used in epigenome-wide association studies and methylation quantitative trait locus (mQTL) studies. Here, we performed the first genome-wide analysis of monozygotic (MZ) twin correlations and mQTLs on data obtained with the Illumina MethylationEPIC BeadChip (EPIC array) and compared the performance of the EPIC array to the Illumina HumanMethylation450 BeadChip (HM450 array) for buccal-derived DNA.

}, issn = {1756-8935}, doi = {10.1186/s13072-018-0225-x}, url = {https://doi.org/10.1186/s13072-018-0225-x}, author = {Jenny van Dongen and Ehli, Erik A. and Jansen, Rick and Catharina E. M. van Beijsterveldt and Gonneke Willemsen and Hottenga, Jouke J. and Kallsen, Noah A. and Peyton, Shanna A. and Breeze, Charles E. and Kluft, Cornelis and Bastiaan T. Heijmans and Meike Bartels and Gareth E Davies and Dorret I. Boomsma} } @article {263, title = {Maternal and paternal cannabis use during pregnancy and the risk of psychotic-like experiences in the offspring}, journal = {Schizophrenia Research}, volume = {202}, year = {2018}, pages = {322 - 327}, abstract = {

Cannabis use continues to increase among pregnant women. Gestational cannabis exposure has been associated with various adverse outcomes. However, it remains unclear whether cannabis use during pregnancy increases the risk for offspring psychotic-like experiences. In this prospective cohort, we examined the relationship between parental cannabis use during pregnancy and offspring psychotic-like experiences. Comparisons were made between maternal and paternal cannabis use during pregnancy to investigate causal influences of intra-uterine cannabis exposure during foetal neurodevelopmental. This study was embedded in the Generation R birth cohort and included N = 3692 participants. Maternal cannabis exposure was determined using self-reports and cannabis metabolite levels from urine. Paternal cannabis use during pregnancy was obtained by maternal report. Maternal cannabis use increased the risk of psychotic-like experiences in the offspring (ORadjusted = 1.38, 95\% CI 1.03\–1.85). Estimates were comparable for maternal cannabis use exclusively before pregnancy versus continued cannabis use during pregnancy. Paternal cannabis use was similarly associated with offspring psychotic-like experiences (ORadjusted = 1.44, 95\% CI 1.14\–1.82). We demonstrated that both maternal and paternal cannabis use were associated with more offspring psychotic-like experiences at age ten years. This may suggest that common aetiologies, rather than solely causal intra-uterine mechanisms, underlie the association between parental cannabis use and offspring psychotic-like experiences. These common backgrounds most likely reflect genetic vulnerabilities and shared familial mechanisms, shedding a potential new light on the debated causal path from cannabis use to psychotic-like phenomena. Our findings indicate that diagnostic screening and preventative measures need to be adapted for young people at risk for severe mental illness.

}, keywords = {Child psychiatry, Epidemiology, Gestational exposure, Marijuana, Psychosis, Substance use}, issn = {0920-9964}, doi = {https://doi.org/10.1016/j.schres.2018.06.067}, url = {http://www.sciencedirect.com/science/article/pii/S0920996418304110}, author = {Koen Bolhuis and Steven A. Kushner and Selda Yalniz and Manon H.J. Hillegers and Vincent W.V. Jaddoe and Henning Tiemeier and Hanan El Marroun} } @article {273, title = {Preconception and prenatal cannabis use and the risk of behavioural and emotional problems in the offspring; a multi-informant prospective longitudinal study}, journal = {International Journal of Epidemiology}, year = {2018}, pages = {dyy186}, abstract = {

Background:

Studies of the long-term consequences of maternal cannabis use on child development beyond the neonatal period are sparse. In the current study, we use a multi-information approach to assess the association of prenatal cannabis exposure and child behavioural and emotional functioning. To explore the possible causal nature of the association, we investigated whether maternal tobacco and paternal cannabis use during pregnancy were also associated with child problems.

Methods:

The study population included children of a population-based birth cohort in The Netherlands (n = 5903). Information on parental cannabis use was collected using questionnaires; urine of mothers was analysed for the presence of cannabis metabolites. Child behavioural and emotional problems at approximately 7-10\ years were measured using validated teacher-, child- and mother-reports.

Results:

Our findings show associations of maternal cannabis use during pregnancy with offspring externalising problems (B = 0.53; 95\% CI: 0.29-0.77), but not with internalising problems (B = -0.10; 95\% CI: -0.31-0.11). However, maternal cannabis use before pregnancy was also associated with offspring externalising problems (B = 0.27; 95\% CI: 0.02-0.52). Further, cannabis use by the father was associated with child externalising problems (B = 0.36; 95\% CI: 0.22-0.49) but not internalising problems.

Conclusions:

Prenatal exposure to maternal cannabis use is specifically associated with offspring behavioural problems, but not emotional problems. This association is probably not due to an effect of intrauterine cannabis exposure on fetal development, because both maternal and paternal cannabis exposure during pregnancy were related to offspring externalising problems. Our findings suggest that the association can be explained through residual confounding, most likely through shared genetic vulnerabilities for parental cannabis use and offspring behavioural problems.

}, doi = {10.1093/ije/dyy186}, url = {http://dx.doi.org/10.1093/ije/dyy186}, author = {Hanan El Marroun and Koen Bolhuis and Franken, Ingmar H A and Vincent W.V. Jaddoe and Manon H.J. Hillegers and Benjamin B Lahey and Henning Tiemeier} } @article {284, title = {Prenatal Maternal Stress and Child IQ}, journal = {Child Development}, year = {2018}, month = {10/2018}, abstract = {

The evidence for negative influences of maternal stress during pregnancy on child cognition remains inconclusive. This study tested the association between maternal prenatal stress and child intelligence in 4,251 mother\–child dyads from a multiethnic population-based cohort in the Netherlands. A latent factor of prenatal stress was constructed, and child IQ was tested at age 6\ years. In Dutch and Caribbean participants, prenatal stress was not associated with child IQ after adjustment for maternal IQ and socioeconomic status. In other ethnicities no association was found; only in the Moroccan/Turkish group a small negative association between prenatal stress and child IQ was observed. These results suggest that prenatal stress does not predict child IQ, except in children from less acculturated minority groups.

}, doi = {10.1111/cdev.13177}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/cdev.13177}, author = {Cortes Hidalgo, Andrea P. and Alexander Neumann and Marian J Bakermans-Kranenburg and Vincent W.V. Jaddoe and Rijlaarsdam, Jolien and Frank Verhulst and Tonya White and van IJzendoorn, Marinus H. and Henning Tiemeier} } @article {282, title = {Psychotic-like experiences in pre-adolescence: what precedes the antecedent symptoms of severe mental illness?}, journal = {Acta Psychiatrica Scandinavica}, volume = {138}, year = {2018}, pages = {15-25}, abstract = {

OBJECTIVE:

Adolescent psychotic-like experiences predict the onset of psychosis, but also predict subsequent non-psychotic disorders. Therefore, it is crucial to better understand the aetiology of psychotic-like experiences. This study examined whether (a) child emotional and behavioural problems at 3 and 6 years, or (b) childhood adversities were associated with psychotic-like experiences at age 10 years.

METHOD:

This prospective study was embedded in the Generation R Study; 3984 children (mean age 10 years) completed a psychotic-like experiences questionnaire. Mothers reported problems of their child at ages 3, 6 and 10 years. Additionally, mothers were interviewed about their child\&$\#$39;s adversities.

RESULTS:

Psychotic-like experiences were endorsed by ~20\% of children and predicted by both emotional and behavioural problems at 3 years (e.g. emotional-reactive problems: ORadjusted = 1.10, 95\% CI: 1.06-1.15, aggressive behaviour: ORadjusted = 1.03, 95\% CI: 1.02-1.05) and 6 years (e.g. anxious/depressed problems: ORadjusted = 1.11, 95\% CI: 1.06-1.15, aggressive behaviour: ORadjusted = 1.04, 95\% CI: 1.04-1.05). Childhood adversities were associated with psychotic-like experiences (\>2 adversities: ORadjusted = 2.24, 95\% CI: 1.72-2.92), which remained significant after adjustment for comorbid psychiatric problems.

CONCLUSION:

This study demonstrated associations between early adversities, childhood emotional and behavioural problems and pre-adolescent psychotic-like experiences, which will improve the understanding of children at increased risk of severe mental illness.

}, keywords = {childhood adversities, development, prospective, Psychosis, psychotic symptoms}, doi = {10.1111/acps.12891}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/acps.12891}, author = {Koen Bolhuis and Koopman-Verhoeff, M. E. and Blanken, L. M. E. and Cibrev, D. and Vincent W.V. Jaddoe and Frank Verhulst and Manon H.J. Hillegers and Steven A. Kushner and Henning Tiemeier} } @article {286, title = {Structural Brain Connectivity in Childhood Disruptive Behavior Problems: A Multidimensional Approach}, journal = {Biological PsychiatryBiological Psychiatry}, year = {2018}, month = {08/2018}, abstract = {

BACKGROUND:

Studies of white matter connectivity in children with disruptive behavior have yielded inconsistent results, possibly owing to the trait\&$\#$39;s heterogeneity, which comprises diverse symptoms like physical aggression, irritability, and delinquency. This study examined associations of global and specific white matter connectivity with childhood disruptive behavior problems, while accounting for their complex multidimensionality.

METHODS:

In a large cross-sectional population-based study of 10-year-old preadolescents (n\ = 2567), we assessed four previously described empirically derived dimensions of disruptive behavior problems using the Child Behavior Checklist: physical aggression, irritability, disobedient behavior, and delinquent behavior. Global and specific white matter microstructure was assessed by diffusion tensor imaging.

RESULTS:

Global fractional anisotropy and mean diffusivity were not associated with broad measures of disruptive behavior, e.g., Child Behavior Checklist externalizing problems scale. Global fractional anisotropy was negatively associated with delinquent behavior (β\ =\ -.123, pfalse discovery rate adjusted\ = .028) and global mean diffusivity was positively associated with delinquent behavior (β\ = .205, pfalse discovery rate adjusted \< 0.001), suggesting reduced white matter microstructure in preadolescents with higher levels of delinquent behavior. Lower white matter microstructure in the inferior longitudinal fasciculus, superior longitudinal fasciculus, cingulum, and uncinate underlie these associations. Global white matter microstructure was not associated with physical aggression, irritability, or disobedient behavior.

CONCLUSIONS:

Delinquent behavior, a severe manifestation of childhood disruptive behavior, was associated with lower white matter microstructure in tracts connecting frontal and temporal lobes. These brain regions are involved in decision making, reward processing, and emotion regulation. This study demonstrated that incorporating the multidimensional nature of childhood disruptive behavior traits shows promise in advancing the search for elucidating neurobiological correlates of disruptive behavior.

}, isbn = {0006-3223}, url = {https://doi.org/10.1016/j.biopsych.2018.07.005}, author = {Koen Bolhuis and Ryan L. Muetzel and Stringaris, Argyris and J.J. Hudziak and Vincent W.V. Jaddoe and Manon H.J. Hillegers and Tonya White and Steven A. Kushner and Henning Tiemeier} } @article {192, title = {Disentangling Heterogeneity of Childhood Disruptive Behavior Problems Into Dimensions and Subgroups}, journal = {American Academy of Child and Adolescent Psychiatry. Journal}, volume = {56}, year = {2017}, pages = {678{\textendash}686}, abstract = {

OBJECTIVE:

Irritable and oppositional behaviors are increasingly considered as distinct dimensions of oppositional defiant disorder. However, few studies have explored this multidimensionality across the broader spectrum of disruptive behavior problems (DBPs). This study examined the presence of dimensions and distinct subgroups of childhood DBPs, and the cross-sectional and longitudinal associations between these dimensions.

METHOD:

Using factor mixture models (FMMs), the presence of dimensions and subgroups of DBPs was assessed in the Generation R Study at ages 6 (n\ = 6,209) and 10 (n\ =\ 4,724) years. Replications were performed in two population-based cohorts (Netherlands Twin Registry, n\ = 4,402, and Swedish Twin Study of Child and Adolescent Development, n\ = 1,089) and a clinical sample (n\ = 1,933). We used cross-lagged modeling in the Generation R Study to assess cross-sectional and longitudinal associations between dimensions. DBPs were assessed using mother-reported responses to the Child Behavior Checklist.

RESULTS:

Empirically obtained dimensions of DBPs were oppositional behavior (age 6 years), disobedient behavior, rule-breaking behavior (age 10 years), physical aggression, and irritability (both ages). FMMs suggested that one-class solutions had the best model fit for all dimensions in all three population-based cohorts. Similar results were obtained in the clinical sample. All three dimensions, including irritability, predicted subsequent physical aggression (range, 0.08-0.16).

CONCLUSION:

This study showed that childhood DBPs should be regarded as a multidimensional phenotype rather than comprising distinct subgroups. Incorporating multidimensionality will improve diagnostic accuracy and refine treatment. Future studies need to address the biological validity of the DBP dimensions observed in this study; herein lies an important opportunity for neuroimaging and genetic measures.

}, doi = {10.1016/j.jaac.2017.05.019}, author = {Koen Bolhuis and Gitta Lubke and van der Ende, Jan and Meike Bartels and van Beijsterveldt, Toos and Paul Lichtenstein and Henrik Larsson and Vincent W.V. Jaddoe and Steven A. Kushner and Frank Verhulst and Dorret I. Boomsma and Henning Tiemeier} } @article {256, title = {Predictive validity of parent- and self-rated ADHD symptoms in adolescence on adverse socioeconomic and health outcomes}, journal = {European Child {\&} Adolescent Psychiatry}, volume = {26}, year = {2017}, month = {Jul}, pages = {857{\textendash}867}, abstract = {

There is scarcity of research investigating the validity of self-report of attention deficit hyperactivity disorder (ADHD) symptoms compared to other informants, such as parents. This study aimed to compare the predictive associations of ADHD symptoms rated by parents and their children across adolescence on a range of adverse socioeconomic and health outcomes in early adulthood. Parent- and self-rated ADHD symptoms were assessed in 2960 individuals in early (13\–14\ years) and late adolescence (16\–17\ years). Logistic regression analyses were used to compare the associations between parent- and self-rated ADHD symptoms at both time points and adverse life outcomes in young adulthood obtained from Swedish national registries. Both parent- and self-ratings of ADHD symptoms were associated with increased risk for adverse outcomes, although associations of parent-ratings were more often statistically significant and were generally stronger (OR\ =\ 1.12\–1.49, p\ \<\ 0.05) than self-ratings (OR\ =\ 1.07\–1.17, p\ \<\ 0.05). After controlling for the other informant, parent-ratings of ADHD symptoms in both early and late adolescence significantly predicted academic and occupational failure, criminal convictions and traffic-related injuries, while self-ratings of ADHD symptoms only in late adolescence predicted substance use disorder and academic failure. Our findings suggest that both parent- and self-ratings of ADHD symptoms in adolescence provides valuable information on risk of future adverse socioeconomic and health outcomes, however, self-ratings are not valuable once parent-ratings have been taken into account in predicting most outcomes. Thus, clinicians and researchers should prioritize parent-ratings over self-ratings.

}, issn = {1435-165X}, doi = {10.1007/s00787-017-0957-3}, url = {https://doi.org/10.1007/s00787-017-0957-3}, author = {Du Rietz, Ebba and Kuja-Halkola, Ralf and Brikell, Isabell and Jangmo, Andreas and Sariaslan, Amir and Lichtenstein, Paul and Kuntsi, Jonna and Henrik Larsson} } @article {128, title = {Genetic and environmental influences interact with age and sex in shaping the human methylome}, journal = {Nat Commun}, volume = {7}, year = {2016}, month = {2016/04/07}, abstract = {

The methylome is subject to genetic and environmental effects. Their impact may depend on sex and age, resulting in sex- and age-related physiological variation and disease susceptibility. Here we estimate the total heritability of DNA methylation levels in whole blood and estimate the variance explained by common single nucleotide polymorphisms at 411,169 sites in 2,603 individuals from twin families, to establish a catalogue of between-individual variation in DNA methylation. Heritability estimates vary across the genome (mean=19\%) and interaction analyses reveal thousands of sites with sex-specific heritability as well as sites where the environmental variance increases with age. Integration with previously published data illustrates the impact of genome and environment across the lifespan at methylation sites associated with metabolic traits, smoking and ageing. These findings demonstrate that our catalogue holds valuable information on locations in the genome where methylation variation between people may reflect disease-relevant environmental exposures or genetic variation.

}, url = {http://dx.doi.org/10.1038/ncomms11115}, author = {Jenny van Dongen and Michel G. Nivard and Gonneke Willemsen and Hottenga, Jouke-Jan and Helmer, Quinta and Conor V Dolan and Ehli, Erik A. and Gareth E Davies and van Iterson, Maarten and Breeze, Charles E. and Beck, Stephan and BIOS Consortium and Suchiman, H. Eka and Jansen, Rick and Joyce B.J. Van Meurs and Bastiaan T. Heijmans and Slagboom, P. Eline and Dorret I. Boomsma} } @article {81, title = {Antisocial behavior and polymorphisms in the oxytocin receptor gene: findings in two independent samples.}, journal = {Mol Psychiatry}, year = {2015}, month = {2015 Sep 22}, abstract = {

The quantitative genetic contribution to antisocial behavior is well established, but few, if any, genetic variants are established as risk factors. Emerging evidence suggests that the neuropeptide oxytocin (OXT) may modulate interpersonal aggression. We here investigated whether single-nucleotide polymorphisms (SNPs) in the OXT receptor gene (OXTR) are associated with the expression of antisocial behavior. A discovery sample, including both sexes, was drawn from the Child and Adolescent Twin Study in Sweden (CATSS; n=2372), and a sample from the Twin Study of Child and Adolescent Development (TCHAD; n=1232) was used for replication. Eight SNPs in OXTR, selected on previous associations with social and antisocial behavior, were genotyped in the participants of CATSS. Significant polymorphisms were subsequently genotyped in TCHAD for replication. Participants completed self-assessment questionnaires-Life History of Aggression (LHA; available only in CATSS), and Self-Reported Delinquency (SRD; available in both samples)-designed to capture antisocial behavior as continuous traits. In the discovery sample, the rs7632287 AA genotype was associated with higher frequency of antisocial behavior in boys, and this was then replicated in the second sample. In particular, overt aggression (directly targeting another individual) was strongly associated with this genotype in boys (P=6.2 \× 10(-7) in the discovery sample). Meta-analysis of the results for antisocial behavior from both samples yielded P=2.5 \× 10(-5). Furthermore, an association between rs4564970 and LHA (P=0.00013) survived correction in the discovery sample, but there was no association with the SRD in the replication sample. We conclude that the rs7632287 and rs4564970 polymorphisms in OXTR may independently influence antisocial behavior in adolescent boys. Further replication of our results will be crucial to understanding how aberrant social behavior arises, and would support the OXT receptor as one potential target in the treatment of aggressive antisocial behavior.Molecular Psychiatry advance online publication, 22 September 2015; doi:10.1038/mp.2015.144.

}, issn = {1476-5578}, doi = {10.1038/mp.2015.144}, author = {Hovey, D and Lindstedt, M and Zettergren, A and Jonsson, L and Johansson, A and Melke, J and Kerekes, N and Anckars{\"a}ter, H and Paul Lichtenstein and Lundstr{\"o}m, S and Westberg, L} }