Pharmacogenomic predictors of drug response and choice in dyslipidemia and hypertension

Variance-stabilizing transformation corrects spurious pharmacogenetic associations introduced by biomarker scaling. Genetic variation informs drug choice for dyslipidemia and hypertension, but current polygenic scores provide only modest benefits in clinical application.

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Journal
medRxiv
Published
2026-01-30
DOI
https://doi.org/10.64898/2026.01.28.26345024
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Pharmacogenomic predictors of drug response and choice in dyslipidemia and hypertension

Malathi S.I. Dona, Samuel A. Lambert, M. Inouye, Fumihiko Takeuchi et al.
medRxiv
Genetic Associations and Epidemiology
article

Pharmacogenomic predictors of drug response and choice in dyslipidemia and hypertension

Malathi S.I. Dona, Samuel A. Lambert, M. Inouye, Fumihiko Takeuchi, Norihiro Kato, William W.H. Ho
article en

Abstract

Variance-stabilizing transformation corrects spurious pharmacogenetic associations introduced by biomarker scaling. Genetic variation informs drug choice for dyslipidemia and hypertension, but current polygenic scores provide only modest benefits in clinical application.

medRxiv
Baker Heart and Diabetes Institute (AU), La Trobe University (AU), University of Cambridge (GB), British Heart Foundation (GB), National Center for Global Health and Medicine (JP), Health Data Research UK (GB), Melbourne Health (AU)
National Institute for Health and Care Research, Department of Health and Social Care, National Institutes of Health, Economic and Social Research Council, NIHR Cambridge Biomedical Research Centre
Good health and well-being
Openalex Percentile: Top 68%
Genetic Associations and Epidemiology
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Pharmacogenomic predictors of drug response and choice in dyslipidemia and hypertension — Malathi S.I. Dona, Samuel A. Lambert, et al. · medRxiv (2026) | TGRS Research Map | TGRS