The trans-ancestral genomic architecture of glycemic traits

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_swepub_ki_se_461626

The trans-ancestral genomic architecture of glycemic traits

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The Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC) , Lifelines Cohort Study , Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC) , Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) , Faculty of Medicine , Medicinska fakulteten , Strategiska forskningsområden (SFO) , Translationell muskelforskning , Geriatrik , EpiHealth: Epidemiology for Health , Institutionen för kliniska vetenskaper, Malmö , Strategic research areas (SRA) , Genetisk och molekylär epidemiologi , Lunds universitet , Translational Muscle Research , Profilområden och andra starka forskningsmiljöer , Lund University , EXODIAB: Excellence of Diabetes Research in Sweden , Profile areas and other strong research environments , Genetic and Molecular Epidemiology , Geriatrics , Department of Clinical Sciences, Malmö , Marenne, Gaëlle , Horikoshi, Momoko , Chu, Audrey Y. , Hong, Jaeyoung , Hottenga, Jouke-Jan , Kaakinen, Marika A. , Moreno-Macias, Hortensia , Nolte, Ilja M. , Raulerson, Chelsea K. , Chen, Brian H. , Hai, Yang , He, Jing , Heianza, Yoriko , Huang, Tao , Huerta-Chagoya, Alicia , Jensen, Richard A. , Lange, Leslie A. , Langefeld, Carl D. , Li, Man , Nag, Abhishek , Pistis, Giorgio , Raffield, Laura , Robertson, Neil R. , Rueedi, Rico , Ryan, Kathleen , Saxena, Richa , van der Most, Peter J. , Wang, Nan , Warren, Helen R. , Wilsgaard, Tom , Wong, Andrew , Zafarmand, Mohammad Hadi , Baldassarre, Damiano , Beekman, Marian , Bergman, Richard N. , Bornstein, Stefan R. , Campbell, Archie , Chang, Yi Cheng , Eiriksdottir, Gudny , Han, Sohee , Hartman, Catharina A. , Ichihara, Sahoko , Katsuya, Tomohiro , Khor, Chiea Chuen , Kolcic, Ivana , Kuulasmaa, Teemu , Lemaitre, Rozenn N. , Lin, Shih-Yi , Linneberg, Allan , Matsuda, Fumihiko , Moon, Sanghoon , Ohyagi, Yasumasa , Qi, Qibin , Sandow, Kevin , Thuesen, Betina , van Dam, Rob M. , Willems van Dijk, Ko , Adair, Linda S. , Boehnke, Michael , Bønnelykke, Klaus , Boomsma, D. I. , Buchanan, Thomas A. , Chambers, John C. , Chasman, Daniel I. , Chen, Yii-Der Ida , Collins, Francis S. , Cucca, Francesco , de Silva, H. Janaka , Ferrucci, Luigi , Florez, Jose C. , Franks, Paul W. , Grimsgaard, Sameline , Guo, Xiuqing , Huang, Wei , Kato, Norihiro , Koistinen, Heikki A. , Kuh, Diana , Kumari, Meena , Launer, Lenore J. , Mook-Kanamori, Dennis O. , Pedersen, Oluf , Pramstaller, Peter P. , Province, Michael A. , Psaty, Bruce M. , Rosendaal, Frits R. , Shu, Xiao-ou , Tai, E. Shyong , Timpson, Nicholas J. , Tusie, Teresa , Uusitupa, Matti , Vrijkotte, Tanja G. M. , Wei, Wen B. , Willemsen, Gonneke , Wong, Tien-Yin , Xiang, Anny H. , Yokota, Mitsuhiro , Zeggini, Eleftheria , McCarthy, Mark I. , Dupuis, Josée and Parker, Stephen C. J.

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New York: Nature Publishing Group US

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Nature genetics, 2021-06, Vol.53 (6), p.840-860

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English

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New York: Nature Publishing Group US

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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,...