New Results
MTAG: Multi-Trait Analysis of GWAS
Patrick Turley, Raymond K. Walters, Omeed Maghzian, Aysu Okbay, James J. Lee, Mark Alan Fontana, Tuan Anh Nguyen-Viet, Nicholas A. Furlotte, 23andMe Research Team, Social Science Genetic Association Consortium, Patrik Magnusson, Sven Oskarsson, Magnus Johannesson, Peter M. Visscher, David Laibson, David Cesarini, Benjamin Neale, Daniel J. Benjamin
doi: https://doi.org/10.1101/118810
Patrick Turley
1Broad Institute, 415 Main Street, Cambridge, Massachusetts 02142, United States
2Analytic and Translational Genetics Unit, Massachusetts General Hospital, 185 Cambridge Street, Cambridge, Massachusetts 02114, United States
Raymond K. Walters
1Broad Institute, 415 Main Street, Cambridge, Massachusetts 02142, United States
2Analytic and Translational Genetics Unit, Massachusetts General Hospital, 185 Cambridge Street, Cambridge, Massachusetts 02114, United States
Omeed Maghzian
3Department of Economics, Harvard University, 1805 Cambridge Street, Cambridge, Massachusetts 02138, United States
Aysu Okbay
4Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1085, Amsterdam, 1081 HV, Netherlands
James J. Lee
5Department of Psychology, University of Minnesota, 75 E River Road, Minneapolis, Minnesota 55455, United States
Mark Alan Fontana
6Hospital for Special Surgery, 535 E 70th Street, New York, New York 10021, United States
Tuan Anh Nguyen-Viet
7Center for Economic and Social Research, University of Southern California, 635 Downey Way, Los Angeles, California 90089, United States
Nicholas A. Furlotte
823andMe, Inc., Mountain View, California 94043, United States
823andMe, Inc., Mountain View, California 94043, United States
Patrik Magnusson
9Institutionen för Medicinsk Epidemiologi och Biostatistik, Karolinska Institutet, 171 77 Stockholm, Sweden
Sven Oskarsson
10Department of Government, Uppsala Universitet, 751 20 Uppsala, Sweden
Magnus Johannesson
11Department of Economics, Stockholm School of Economics, 113 83 Stockholm, Sweden
Peter M. Visscher
12Institute for Molecular Bioscience, The University of Queensland, Building 80 Services Road, QLD 4072, Brisbane, Queensland, Australia
13Queensland Brain Institute, The University of Queensland, Building 79 Services Road, QLD 4072, Brisbane, Queensland, Australia
David Laibson
3Department of Economics, Harvard University, 1805 Cambridge Street, Cambridge, Massachusetts 02138, United States
14National Bureau of Economic Research, 1050 Massachusetts Avenue, Cambridge, Massachusetts 02138, United States
David Cesarini
14National Bureau of Economic Research, 1050 Massachusetts Avenue, Cambridge, Massachusetts 02138, United States
15Department of Economics and Center for Experimental Social Science, New York University, 19 W 4th Street, New York, New York 10012, United States
16Institutet för Näringslivsforskning, 114 53 Stockholm, Sweden
Benjamin Neale
1Broad Institute, 415 Main Street, Cambridge, Massachusetts 02142, United States
2Analytic and Translational Genetics Unit, Massachusetts General Hospital, 185 Cambridge Street, Cambridge, Massachusetts 02114, United States
Daniel J. Benjamin
7Center for Economic and Social Research, University of Southern California, 635 Downey Way, Los Angeles, California 90089, United States
14National Bureau of Economic Research, 1050 Massachusetts Avenue, Cambridge, Massachusetts 02138, United States
17Department of Economics, University of Southern California, 3620 South Vermont Avenue, Kaprielian Hall, 300 Los Angeles, CA 90089, United States

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%.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Posted March 20, 2017.
MTAG: Multi-Trait Analysis of GWAS
Patrick Turley, Raymond K. Walters, Omeed Maghzian, Aysu Okbay, James J. Lee, Mark Alan Fontana, Tuan Anh Nguyen-Viet, Nicholas A. Furlotte, 23andMe Research Team, Social Science Genetic Association Consortium, Patrik Magnusson, Sven Oskarsson, Magnus Johannesson, Peter M. Visscher, David Laibson, David Cesarini, Benjamin Neale, Daniel J. Benjamin
bioRxiv 118810; doi: https://doi.org/10.1101/118810
MTAG: Multi-Trait Analysis of GWAS
Patrick Turley, Raymond K. Walters, Omeed Maghzian, Aysu Okbay, James J. Lee, Mark Alan Fontana, Tuan Anh Nguyen-Viet, Nicholas A. Furlotte, 23andMe Research Team, Social Science Genetic Association Consortium, Patrik Magnusson, Sven Oskarsson, Magnus Johannesson, Peter M. Visscher, David Laibson, David Cesarini, Benjamin Neale, Daniel J. Benjamin
bioRxiv 118810; doi: https://doi.org/10.1101/118810
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