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Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes
Author(s) -
WeiMin Chen,
Xiuqing Guo,
Yan V. Sun,
Michael A. Nalls,
Suzette J. Bielinski,
Palmer, Nicholette D.,
Ping An,
Jirong Long,
Jiankang Liu,
Keith L. Keene,
Laura J. RasmussenTorvik,
Lisa R. Yanek,
Mark O. Goodarzi,
Sanjay R. Patel,
Uma Nayak,
Daniel Shriner,
Poorva Mudgal,
Barry I. Freedman,
Josyf C. Mychaleckyj,
Leslie J. Raffel,
Loren L. Armstrong,
Yingchang Lu,
Maggie C. Y. Ng,
Snively, Beverly M.,
Jiang Li,
Brian H. Chen,
Mary E. Comeau,
Lynne E. Wagenknecht,
Lingyao Yang,
Richard A. Jensen,
Daniel S. Evans,
Carl D. Langefeld
Publication year - 2020
Publication title -
unc libraries
Language(s) - English
DOI - 10.17615/n0t3-7m22
Subject(s) - genetic architecture , genome wide association study , genetic association , genetics , meta analysis , biology , association (psychology) , computational biology , evolutionary biology , medicine , psychology , gene , single nucleotide polymorphism , genotype , quantitative trait locus , psychotherapist

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