@article {475,
	title = {The trans-ancestral genomic architecture of glycemic traits},
	journal = {Nature Genetics},
	year = {2021},
	month = {05/2021},
	pages = {840{\textendash}860},
	abstract = {<p>Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30\% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242\&thinsp;loci (99 novel; <i>P</i>\&thinsp;\&lt;\&thinsp;5\&thinsp;\&times;\&thinsp;10<sup>\&minus;8</sup>), 80\% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99\% credible sets by a median of 37.5\%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.</p>
},
	doi = {10.1038/s41588-021-00852-9},
	author = {Chen, Ji and Spracklen, Cassandra N and Marenne, Ga{\"e}lle and Varshney, Arushi and Corbin, Laura J and Luan, Jian{\textquoteright}an and Willems, Sara M and Wu, Ying and Zhang, Xiaoshuai and Horikoshi, Momoko and Boutin, Thibaud S and M{\"a}gi, Reedik and Waage, Johannes and +100Authors}
}
