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Cox regression increases power to detect genotype-phenotype associations in genomic studies using th...

Cox regression increases power to detect genotype-phenotype associations in genomic studies using th...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aa1b3a30d30544468e0f410bb84747dd

Cox regression increases power to detect genotype-phenotype associations in genomic studies using the electronic health record

About this item

Full title

Cox regression increases power to detect genotype-phenotype associations in genomic studies using the electronic health record

Publisher

England: BioMed Central Ltd

Journal title

BMC genomics, 2019-11, Vol.20 (1), p.805-805, Article 805

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

The growth of DNA biobanks linked to data from electronic health records (EHRs) has enabled the discovery of numerous associations between genomic variants and clinical phenotypes. Nonetheless, although clinical data are generally longitudinal, standard approaches for detecting genotype-phenotype associations in such linked data, notably logistic r...

Alternative Titles

Full title

Cox regression increases power to detect genotype-phenotype associations in genomic studies using the electronic health record

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_aa1b3a30d30544468e0f410bb84747dd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aa1b3a30d30544468e0f410bb84747dd

Other Identifiers

ISSN

1471-2164

E-ISSN

1471-2164

DOI

10.1186/s12864-019-6192-1

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