RT Journal Article
SR Electronic
T1 MTAG: Multi-Trait Analysis of GWAS
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 118810
DO 10.1101/118810
A1 Turley, Patrick
A1 Walters, Raymond K.
A1 Maghzian, Omeed
A1 Okbay, Aysu
A1 Lee, James J.
A1 Fontana, Mark Alan
A1 Nguyen-Viet, Tuan Anh
A1 Furlotte, Nicholas A.
A1 ,
A1 ,
A1 Magnusson, Patrik
A1 Oskarsson, Sven
A1 Johannesson, Magnus
A1 Visscher, Peter M.
A1 Laibson, David
A1 Cesarini, David
A1 Neale, Benjamin
A1 Benjamin, Daniel J.
YR 2017
UL http://biorxiv.org/content/early/2017/03/20/118810.abstract
AB We introduce Multi-Trait Analysis of GWAS (MTAG), a method for the joint analysis of summary statistics from GWASs of different traits, possibly from overlapping samples. We demonstrate MTAG using data on depressive symptoms (Neff = 354,862), neuroticism (N = 168,105), and subjective well-being (N = 388,538). Compared to 32, 9, and 13 genome-wide significant loci in the single-trait GWASs (most of which are novel), MTAG increases the number of loci to 74, 66, and 60, respectively. Moreover, the association statistics from MTAG yield more informative bioinformatics analyses and, consistent with theoretical calculations, improve prediction accuracy by approximately 25%.