Multi-trait analysis of genome-wide association summary statistics using MTAG

@inproceedings{Turley2017MultitraitAO,
  title={Multi-trait analysis of genome-wide association summary statistics using MTAG},
  author={Patrick W. 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 Robbee Wedow and Meghan Zacher and Nicholas A. Furlotte and Patrik K E Magnusson and Sven Oskarsson and Magnus Johannesson and Peter M. Visscher and David Laibson and David Cesarini and Benjamin M. Neale and Daniel J Benjamin},
  booktitle={Nature Genetics},
  year={2017}
}
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 (Neff = 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… CONTINUE READING

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