@article {Turley118810, author = {Patrick Turley and Raymond K. Walters and Omeed Maghzian and Aysu Okbay and James J. Lee and Mark Alan Fontana and Tuan Anh Nguyen-Viet and Nicholas A. Furlotte and 23andMe Research Team and Social Science Genetic Association Consortium and Patrik Magnusson and Sven Oskarsson and Magnus Johannesson and Peter M. Visscher and David Laibson and David Cesarini and Benjamin Neale and Daniel J. Benjamin}, title = {MTAG: Multi-Trait Analysis of GWAS}, elocation-id = {118810}, year = {2017}, doi = {10.1101/118810}, publisher = {Cold Spring Harbor Laboratory}, abstract = {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\%.}, URL = {https://www.biorxiv.org/content/early/2017/03/20/118810}, eprint = {https://www.biorxiv.org/content/early/2017/03/20/118810.full.pdf}, journal = {bioRxiv} }