Autor:
Yu, J.
Pressoir, G.
Briggs, W.H.
Vroh Bi, Irie
Yamasaki, M.
Doebley, J.F.
Mcmullen, M.D.
Gaut, B.S.
Nielsen, D.M.
Holland, J.B.
Kresovich, S.
As population structure can result in spurious associations, it has constrained the use of association studies in human and plant genetics. Association mapping, however, holds great promise if true signals of functional association can be separated from the vast number of false signals generated ...
Enlace original:
https://cgspace.cgiar.org/handle/10568/100018
Yu, J.
,
Pressoir, G.
,
Briggs, W.H.
,
Vroh Bi, Irie
,
Yamasaki, M.
,
Doebley, J.F.
,
Mcmullen, M.D.
,
Gaut, B.S.
,
Nielsen, D.M.
,
Holland, J.B.
,
Kresovich, S.
,
[A unified mixed model method for association mapping that accounts for multiple levels of relatedness]
,
A unified mixed model method for association mapping that accounts for multiple levels of relatedness
