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Statistical power and utility of meta-analysis methods for cross-phenotype genome-wide association s...

Statistical power and utility of meta-analysis methods for cross-phenotype genome-wide association s...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a0c4bdf5cad24252831df2400111f482

Statistical power and utility of meta-analysis methods for cross-phenotype genome-wide association studies

About this item

Full title

Statistical power and utility of meta-analysis methods for cross-phenotype genome-wide association studies

Publisher

United States: Public Library of Science

Journal title

PloS one, 2018-03, Vol.13 (3), p.e0193256-e0193256

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Advances in recent genome wide association studies (GWAS) suggest that pleiotropic effects on human complex traits are widespread. A number of classic and recent meta-analysis methods have been used to identify genetic loci with pleiotropic effects, but the overall performance of these methods is not well understood. In this work, we use extensive...

Alternative Titles

Full title

Statistical power and utility of meta-analysis methods for cross-phenotype genome-wide association studies

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a0c4bdf5cad24252831df2400111f482

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a0c4bdf5cad24252831df2400111f482

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0193256

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