Log in to save to my catalogue

Including known covariates can reduce power to detect genetic effects in case-control studies

Including known covariates can reduce power to detect genetic effects in case-control studies

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1034820621

Including known covariates can reduce power to detect genetic effects in case-control studies

About this item

Full title

Including known covariates can reduce power to detect genetic effects in case-control studies

Publisher

New York: Nature Publishing Group US

Journal title

Nature genetics, 2012-08, Vol.44 (8), p.848-851

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

Peter Donnelly and colleagues report an analysis considering the inclusion of non-confounding covariates within genome-wide association studies and provide software that can be used to assess the impact on power within a particular study. They find that, when the disease prevalence is low, including known covariates, such as sex or established gene...

Alternative Titles

Full title

Including known covariates can reduce power to detect genetic effects in case-control studies

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1034820621

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1034820621

Other Identifiers

ISSN

1061-4036

E-ISSN

1546-1718

DOI

10.1038/ng.2346

How to access this item