Open AccessExome chip meta-analysis identifies novel loci and East Asian-specific coding variants that contribute to lipid levels and coronary artery disease
Author(s) -
Xinzhuo Lu,
G.M. Peloso,
D.J. Liu,
Yashuang Wu,
Huihui Zhang,
W. Zhou,
J. Li,
Chan Tang,
R. Dorajoo,
H. Li,
Junkun Long,
X Guo,
M. Xu,
C.N. Spracklen,
Y. Chen,
X. Liu,
Y. Zhang,
C.C. Khor,
Jackson TK Liu,
Liangjie Sun,
Linyi Wang,
Yongyuan Gao,
Y. Hu,
K. Yu,
Y. Wang,
C.Y.Y. Cheung,
Fang Wang,
J. Huang,
Qixuan Fan,
Qingao Cai,
Sunli Chen,
J. Shi,
X. Yang,
Weixing Zhao,
W.H.-H. Sheu,
S.S. Cherny,
M. He,
A.B. Feranil,
L.S. Adair,
P. Gordon-Larsen,
S. Du,
R. Varma,
Y.-D.I. Chen,
Xingfu Shu,
King Sun Lam,
T.Y. Wong,
S.K. Ganesh,
Zucong Mo,
K. Hveem,
L.G. Fritsche,
J.B. Nielsen,
H.-F. Tse,
Youhua Huo,
C.-Y. Cheng,
Yiwei Chen,
W. Zheng,
E.S. Tai,
W. Gao,
X. Lin,
W. Huang,
G. Abecasis,
S. Kathiresan,
K.L. Mohlke,
T. Wu,
P.C. Sham,
Dingyun Gu,
C.J. Willer
Publication year - 2017
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/0yg8-1z04
Subject(s) - exome , coronary artery disease , exome sequencing , meta analysis , disease , coding (social sciences) , medicine , biology , genetics , computational biology , gene , bioinformatics , mutation , statistics , mathematics