TY - JOUR
T1 - Multi-trait analysis of genome-wide association summary statistics using MTAG
AU - Turley, Patrick
AU - Walters, Raymond K.
AU - Maghzian, Omeed
AU - Okbay, Aysu
AU - Lee, James J.
AU - Fontana, Mark Alan
AU - Nguyen-Viet, Tuan Anh
AU - Wedow, Robbee
AU - Zacher, Meghan
AU - Furlotte, Nicholas A.
AU - Magnusson, Patrik
AU - Oskarsson, Sven
AU - Johannesson, Magnus
AU - Visscher, Peter M.
AU - Laibson, David
AU - Cesarini, David
AU - Neale, Benjamin M.
AU - Benjamin, Daniel J.
AU - Agee, Michelle
AU - Alipanahi, Babak
AU - Auton, Adam
AU - Bell, Robert K.
AU - Bryc, Katarzyna
AU - Elson, Sarah L.
AU - Fontanillas, Pierre
AU - Hinds, David A.
AU - Hromatka, Bethann S.
AU - Huber, Karen E.
AU - Kleinman, Aaron
AU - Litterman, Nadia K.
AU - McIntyre, Matthew H.
AU - Mountain, Joanna L.
AU - Northover, Carrie A.M.
AU - Sathirapongsasuti, J. Fah
AU - Sazonova, Olga V.
AU - Shelton, Janie F.
AU - Shringarpure, Suyash
AU - Tian, Chao
AU - Tung, Joyce Y.
AU - Vacic, Vladimir
AU - Wilson, Catherine H.
AU - Pitts, Steven J.
N1 - Publisher Copyright:
© 2017 The Author(s).
PY - 2018/2/1
Y1 - 2018/2/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85039801269
UR - https://www.scopus.com/pages/publications/85039801269#tab=citedBy
U2 - 10.1038/s41588-017-0009-4
DO - 10.1038/s41588-017-0009-4
M3 - Article
C2 - 29292387
AN - SCOPUS:85039801269
SN - 1061-4036
VL - 50
SP - 229
EP - 237
JO - Nature Genetics
JF - Nature Genetics
IS - 2
ER -