
Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes
Author(s) -
Maggie C. Y. Ng,
Daniel Shriner,
Brian H. Chen,
Jiang Li,
Weimin Chen,
Xiuqing Guo,
Jiankang Liu,
Suzette J Bielinski,
Lisa R. Yanek,
Michael A. Nalls,
Mary E. Comeau,
Laura J. RasmussenTorvik,
Richard A. Jensen,
Daniel S. Evans,
Yan V. Sun,
Ping An,
Sanjay R. Patel,
Yingchang Lu,
Jirong Long,
Loren L. Armstrong,
Lynne E. Wagenknecht,
Lingyao Yang,
Beverly M. Snively,
Nicholette D. Palmer,
Poorva Mudgal,
Carl D. Langefeld,
Keith L. Keene,
Barry I. Freedman,
Josyf C. Mychaleckyj,
Uma Nayak,
Leslie J. Raffel,
Mark O. Goodarzi
Publication year - 2014
Publication title -
carolina digital repository (university of north carolina at chapel hill)
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