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TATES: efficient multivariate genotype-phenotype analysis for genome-wide association studies

TATES: efficient multivariate genotype-phenotype analysis for genome-wide association studies

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1314341859

TATES: efficient multivariate genotype-phenotype analysis for genome-wide association studies

About this item

Full title

TATES: efficient multivariate genotype-phenotype analysis for genome-wide association studies

Publisher

United States: Public Library of Science

Journal title

PLoS genetics, 2013-01, Vol.9 (1), p.e1003235-e1003235

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

To date, the genome-wide association study (GWAS) is the primary tool to identify genetic variants that cause phenotypic variation. As GWAS analyses are generally univariate in nature, multivariate phenotypic information is usually reduced to a single composite score. This practice often results in loss of statistical power to detect causal variant...

Alternative Titles

Full title

TATES: efficient multivariate genotype-phenotype analysis for genome-wide association studies

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1314341859

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1314341859

Other Identifiers

ISSN

1553-7404,1553-7390

E-ISSN

1553-7404

DOI

10.1371/journal.pgen.1003235

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