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%.