Open AccessReverse gene–environment interaction approach to identify variants influencing body-mass index in humans
Author(s) -
K.M. Garske,
D.Z. Pan,
Z. Miao,
Y.V. Bhagat,
C. Comenho,
C.R. Robles,
J.N. Benhammou,
M. Alvarez,
Anderson Ko,
C.J. Ye,
J.R. Pisegna,
K.L. Mohlke,
J.S. Sinsheimer,
M. Laakso,
P. Pajukanta
Publication year - 2019
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/81g3-0603
Subject(s) - body mass index , gene–environment interaction , index (typography) , computational biology , biology , genetics , gene , evolutionary biology , psychology , computer science , genotype , endocrinology , world wide web
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