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Multi-trait analysis of genome-wide association summary statistics using MTAG
Broad Inst, Cambridge, MA 02142 USA.;Massachusetts Gen Hosp, Analyt & Translat Genet Unit, Cambridge, MA 02114 USA..
Broad Inst, Cambridge, MA 02142 USA.;Massachusetts Gen Hosp, Analyt & Translat Genet Unit, Cambridge, MA 02114 USA..
Harvard Univ, Dept Econ, Cambridge, MA 02138 USA..
Vrije Univ Amsterdam, Dept Complex Trait Genet, Amsterdam, Netherlands..
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2018 (English)In: Nature Genetics, ISSN 1061-4036, E-ISSN 1546-1718, Vol. 50, no 2, p. 229-237Article in journal (Refereed) Published
Abstract [en]

We introduce multi-trait analysis of GWAS (MTAG), a method for joint analysis of summary statistics from genome-wide association studies (GWAS) of different traits, possibly from overlapping samples. We apply MTAG to summary statistics for depressive symptoms (N-eff = 354,862), neuroticism (N = 168,105), and subjective well-being (N = 388,538). As compared to the 32, 9, and 13 genome-wide significant loci identified in the single-trait GWAS (most of which are themselves novel), MTAG increases the number of associated loci to 64, 37, and 49, respectively. Moreover, association statistics from MTAG yield more informative bioinformatics analyses and increase the variance explained by polygenic scores by approximately 25%, matching theoretical expectations.

Place, publisher, year, edition, pages
NATURE PUBLISHING GROUP , 2018. Vol. 50, no 2, p. 229-237
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Genetics
Identifiers
URN: urn:nbn:se:uu:diva-347099DOI: 10.1038/s41588-017-0009-4ISI: 000424519200014PubMedID: 29292387OAI: oai:DiVA.org:uu-347099DiVA, id: diva2:1193040
Funder
Ragnar Söderbergs stiftelse, E9/11, E42/15Swedish Research Council, 421-2013-1061The Jan Wallander and Tom Hedelius FoundationEU, European Research Council, 647648 EdGeAvailable from: 2018-03-26 Created: 2018-03-26 Last updated: 2018-03-26Bibliographically approved

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Oskarsson, Sven

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