Time-to-event modeling of hypertension reveals the nonexistence of true controls

Author:

Shriner Daniel1ORCID,Bentley Amy R1,Zhou Jie1,Ekoru Kenneth1,Doumatey Ayo P1,Chen Guanjie1,Adeyemo Adebowale1,Rotimi Charles N1

Affiliation:

1. Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, United States

Abstract

Given a lifetime risk of ~90% by the ninth decade of life, it is unknown if there are true controls for hypertension in epidemiological and genetic studies. Here, we compared Bayesian logistic and time-to-event approaches to modeling hypertension. The median age at hypertension was approximately a decade earlier in African Americans than in European Americans or Mexican Americans. The probability of being free of hypertension at 85 years of age in African Americans was less than half that in European Americans or Mexican Americans. In all groups, baseline hazard rates increased until nearly 60 years of age and then decreased but did not reach zero. Taken together, modeling of the baseline hazard function of hypertension suggests that there are no true controls and that controls in logistic regression are cases with a late age of onset.

Funder

National Human Genome Research Institute

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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