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 Patrick Turley
A1 Raymond K. Walters
A1 Omeed Maghzian
A1 Aysu Okbay
A1 James J. Lee
A1 Mark Alan Fontana
A1 Tuan Anh Nguyen-Viet
A1 Robbee Wedow
A1 Meghan Zacher
A1 Nicholas A. Furlotte
A1 23andMe Research Team
A1 Social Science Genetic Association Consortium
A1 Patrik Magnusson
A1 Sven Oskarsson
A1 Magnus Johannesson
A1 Peter M. Visscher
A1 David Laibson
A1 David Cesarini
A1 Benjamin M. Neale
A1 Daniel J. Benjamin
YR 2017
UL http://biorxiv.org/content/early/2017/07/03/118810.abstract
AB We introduce Multi-Trait Analysis of GWAS (MTAG), a method for joint analysis of summary statistics from GWASs of different traits, possibly from overlapping samples. We apply MTAG to summary statistics for 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 themselves novel), MTAG increases the number of loci to 64, 37, and 49, respectively. Moreover, association statistics from MTAG yield more informative bioinformatics analyses and increase variance explained by polygenic scores by approximately 25%, matching theoretical expectations.