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

ABSTRACT: BACKGROUND: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 regression, do not naturally account for variation in the period of follow-up or the time at which an event occurs. Here we explored the advantages of quantifying associations using Cox proportional hazards regression, which can account for the age at which a patient first visited the healthcare system (left truncation) and the age at which a patient either last visited the healthcare system or acquired a particular phenotype (right cen

SUBMITTER: Hughey JJ 

PROVIDER: S-EPMC6829851 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature