@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 = {<p>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 \&lt; 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 \&lt; P \&lt; 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.</p>
},
	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 {227,
	title = {DNA methylation signatures of educational attainment},
	volume = {3},
	year = {2018},
	month = {2018/03/23},
	pages = {7},
	abstract = {<p>Educational attainment is a key behavioural measure in studies of cognitive and physical health, and socioeconomic status. We measured DNA methylation at 410,746 CpGs (N\&thinsp;=\&thinsp;4152) and identified 58 CpGs associated with educational attainment at loci characterized by pleiotropic functions shared with neuronal, immune and developmental processes. Associations overlapped with those for smoking behaviour, but remained after accounting for smoking at many CpGs: Effect sizes were on average 28\% smaller and genome-wide significant at 11 CpGs after adjusting for smoking and were 62\% smaller in never smokers. We examined sources and biological implications of education-related methylation differences, demonstrating correlations with maternal prenatal folate, smoking and air pollution signatures, and associations with gene expression in cis, dynamic methylation in foetal brain, and correlations between blood and brain. Our findings show that the methylome of lower-educated people resembles that of smokers beyond effects of their own smoking behaviour and shows traces of various other exposures.</p>
},
	isbn = {2056-7936},
	url = {https://doi.org/10.1038/s41539-018-0020-2},
	author = {Jenny van Dongen and Bonder, Marc Jan and Dekkers, Koen F. and Michel G. Nivard and van Iterson, Maarten and Gonneke Willemsen and Beekman, Marian and van der Spek, Ashley and Joyce B.J. Van Meurs and Franke, Lude and Bastiaan T. Heijmans and van Duijn, Cornelia M. and Slagboom, P. Eline and Dorret I. Boomsma}
}
