Impact of Rare and Common Genetic Variants on Diabetes Diagnosis by Hemoglobin A1c in Multi-Ancestry Cohorts
bioRxiv preprint doi: https://doi.org/10.1101/643932; this version posted May 28, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Impact of rare and common genetic variants on diabetes 2 diagnosis by hemoglobin A1c in multi-ancestry cohorts: 3 The Trans-Omics for Precision Medicine Program 4 5 Authors 6 Chloé Sarnowski,1,35,37,* Aaron Leong,2,3,4,35,38,** Laura M Raffield,5 Peitao Wu,1 Paul S de 7 Vries,6 Daniel DiCorpo,1 Xiuqing Guo,7 Huichun Xu,8 Yongmei Liu,9 Xiuwen Zheng,10 Yao 8 Hu,11 Jennifer A Brody,12 Mark O Goodarzi,13 Bertha A Hidalgo,14 Heather M Highland,15 9 Deepti Jain,10 Ching-Ti Liu,1 Rakhi P Naik,16 James A Perry,17 Bianca C Porneala,2 Elizabeth 10 Selvin,18 Jennifer Wessel,19,20 Bruce M Psaty,12,21,22 Joanne E Curran,23 Juan M Peralta,23 John 11 Blangero,23 Charles Kooperberg,11 Rasika Mathias,18,24 Andrew D Johnson,25,26 Alexander P 12 Reiner,11,27 Braxton D Mitchell,8,28 L Adrienne Cupples,1,25 Ramachandran S Vasan,25,29,30 13 Adolfo Correa,31,32 Alanna C Morrison,6 Eric Boerwinkle,6,33 Jerome I Rotter,7 Stephen S Rich,34 14 Alisa K Manning,2,3,4 Josée Dupuis,1,25,36 James B Meigs,2,3,4,36 on behalf of the Trans-Omics for 15 Precision Medicine (TOPMed) Diabetes and TOPMed Hematology and Hemostasis working 16 groups and the NHLBI TOPMed Consortium.
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