Leveraging family history in genetic association analyses of binary traits
Leveraging family history in genetic association analyses of binary traits
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Publisher
London: BioMed Central Ltd
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Language
English
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Publisher
London: BioMed Central Ltd
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Contents
Considering relatives' health history in logistic regression for case-control genome-wide association studies (CC-GWAS) may provide new information that increases accuracy and power to detect disease associated genetic variants. We conducted simulations and analyzed type 2 diabetes (T2D) data from the Framingham Heart Study (FHS) to compare two met...
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Full title
Leveraging family history in genetic association analyses of binary traits
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TN_cdi_doaj_primary_oai_doaj_org_article_ebb3d359fc6e4d789d9aa25dee179732
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ebb3d359fc6e4d789d9aa25dee179732
Other Identifiers
ISSN
1471-2164
E-ISSN
1471-2164
DOI
10.1186/s12864-022-08897-8
