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

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 = ...

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Veröffentlicht in:	Nature genetics Jg. 50; H. 2; S. 229 - 237
Hauptverfasser:	Turley, Patrick, Walters, Raymond K., Maghzian, Omeed, Okbay, Aysu, Lee, James J., Fontana, Mark Alan, Nguyen-Viet, Tuan Anh, Wedow, Robbee, Zacher, Meghan, Furlotte, Nicholas A., Magnusson, Patrik, Oskarsson, Sven, Johannesson, Magnus, Visscher, Peter M., Laibson, David, Cesarini, David, Neale, Benjamin M., Benjamin, Daniel J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Nature Publishing Group US 01.02.2018 Nature Publishing Group
Schlagworte:	631/208/205/2138 631/208/212 631/378 Accuracy Agriculture Algorithms Animal Genetics and Genomics Bioinformatics Biomedical and Life Sciences Biomedicine Cancer Research Comparative analysis Computational biology Data Interpretation, Statistical Datasets as Topic - statistics & numerical data Depression - epidemiology Depression - genetics Diagnostic Self Evaluation Economic models Gene Function Genetic aspects Genetic Association Studies - methods Genetic Association Studies - statistics & numerical data Genome-wide association studies Genome-Wide Association Study - methods Genome-Wide Association Study - statistics & numerical data Genomes Genomics Health - statistics & numerical data Human Genetics Humans Loci Mental depression Meta-analysis Meta-Analysis as Topic Multifactorial Inheritance Neurosis Neuroticism Phenotype Polygenic inheritance Polymorphism, Single Nucleotide Psychological factors Quantitative Trait Loci - genetics Statistical analysis Statistical methods Statistics Well being Sweden
ISSN:	1061-4036, 1546-1718, 1546-1718
Online-Zugang:	Volltext
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