Open AccessEvaluating the contribution of rare variants to type 2 diabetes and related traits using pedigrees
Author(s) -
G.s Jun,
A. Manning,
M. Almeida,
M. Zawistowski,
A.R. Wood,
T.M. Teslovich,
C. Fuchsberger,
Songjie Feng,
P. Cingolani,
K.J. Gaulton,
T. Dyer,
T.W. Blackwell,
H. Chen,
P.S. Chines,
S. Choi,
C. Churchhouse,
P. Fontanillas,
R. King,
S. Lee,
S.E. Lincoln,
V. Trubetskoy,
M. DePristo,
T. Fingerlin,
R. Grossman,
J. Grundstad,
A. Heath,
J. Kim,
Y.J. Kim,
J. Laramie,
J. Lee,
H. Li,
X. Liu,
O. Livne,
A.E. Locke,
J. Maller,
A. Mazur,
A.P. Morris,
T.I. Pollin,
D. Ragona,
D. Reich,
M.A. Rivas,
L.J. Scott,
X. Sim,
R.G. Tearle,
Y.Y. Teo,
A.L. Williams,
S. Zöllner,
J.E. Curran,
J. Peralta,
B. Akolkar,
G.I. Bell,
N.P. Burtt,
N.J. Cox,
J.C. Florez,
C.L. Hanis,
C.s McKeon,
K.L. Mohlke,
M. Seielstad,
J.G. Wilson,
G. Atzmon,
J.E. Below,
J. Dupuis,
D.L. Nicolae,
D. Lehman,
T. Park,
S. Won,
R. Sladek,
D. Altshuler,
M.I. McCarthy,
R. Duggirala,
M. Boehnke,
T.M. Frayling,
G.R. Abecasis,
J. Blangero
Publication year - 2017
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/dtvz-7t50
Subject(s) - pedigree chart , type 2 diabetes , genetics , type (biology) , biology , evolutionary biology , computational biology , diabetes mellitus , gene , ecology , endocrinology