Nature GeneticsGenomicsPeer-reviewed journal article
MTAG: Multi-Trait Analysis of GWAS
Patrick TurleyiD, Raymond Kenney WaltersiD, Omeed Maghzian, Aysu OkbayiD, James J. LeeiD, Mark Alan Fontana, Tuan Anh Nguyen-Viet, Robbee WedowiD, Meghan L. ZacheriD, Nicholas A. FurlotteiD, Patrik K. E. MagnussoniD, Sven OskarssoniD, Magnus JohannessoniD, Peter M. VisscheriD, David LaibsoniD, David A. CesariniiD, Benjamin M. NealeiD, Daniel Jacob BenjaminiD
Abstract
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.
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- research focus: polygenic risk
- approach: statistical model
- Citations
- 1,112
- FWCI
- 38.75
- Field percentile
- top 1%
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