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Multi-ethnic genome-wide association study of decomposed cardioelectric phenotypes illustrates strategies to identify and characterize evidence of shared genetic effects for complex traits
Author(s) -
A.R. Baldassari,
C.M. Sitlani,
H.M. Highland,
D.E. Arking,
S. Buyske,
D. Darbar,
R. Gondalia,
M. Graff,
X. Guo,
S.R. Heckbert,
L.A. Hindorff,
C.J. Hodonsky,
Yiwen Chen,
R.C. Kaplan,
U. Peters,
W. Post,
A.P. Reiner,
J.I. Rotter,
R.V. Shohet,
A.A. Seyerle,
N. Sotoodehnia,
R. Tao,
K.D. Taylor,
G.L. Wojcik,
Jineng Yao,
E.E. Kenny,
H.J. Lin,
El-Din Soliman,
E.A. Whitsel,
K.E. North,
C. Kooperberg,
C.L. Avery
Publication year - 2020
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/gdce-h103
Subject(s) - phenotype , genome wide association study , ethnic group , genetic association , association (psychology) , biology , evolutionary biology , genetics , association mapping , computational biology , gene , genotype , psychology , sociology , single nucleotide polymorphism , anthropology , psychotherapist

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