Evidence mapPaperPMID 41861149Full record

ArticlePharmacogenetics and genomics2026

The potential effect and pathway of valsartan: genome-wide and phenome-wide association study from UK Biobank data.

Shengyin Zeng, Yaxin Li, Yucong Zhang, Yueqi Lu, Lei Ruan, Cuntai Zhang, Jianguo Zhang, Bangwei Chen, Tao Li

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Article in Pharmacogenetics and genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Shengyin ZengCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing.
Yaxin LiCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing.
Yucong ZhangDepartment of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology.
Yueqi LuBGI Genomics, Shenzhen.
Lei RuanDepartment of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology.
Cuntai ZhangDepartment of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology.
Jianguo ZhangBGI Genomics, Shenzhen.
Bangwei ChenDepartment of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology.
Tao LiBGI Genomics, Shenzhen.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeValsartan, an angiotensin II receptor blocker, is widely used for hypertension and heart failure. While its cardiovascular benefits are established, its broader pharmacological effects remain incompletely characterized. This study aimed to identify genetic variants associated with valsartan use and to systematically explore its potential effects and adverse events across a wide range of phenotypes.

methodsUsing UK Biobank data, we selected participants of European ancestry prescribed valsartan as cases, compared with controls not prescribed any ARBs. A genome-wide association study (GWAS) was conducted to identify suggestive genetic variants associated with valsartan use. These variants were then used as instruments in a phenome-wide association study (PheWAS) to screen for associated traits. Mendelian randomization analyses, including inverse-variance weighted and pleiotropy-robust methods, were employed to assess potential causal relationships.

resultsThe GWAS identified 19 suggestive single nucleotide polymorphisms ( P  < 1 × 10 -5 ) near genes, including PREP , GCLC , and ZNF133 . The PheWAS analysis revealed associations with 14 phenotypes, including lower levels of total cholesterol ( β = -0.59) and low-density lipoprotein cholesterol (LDL-C) ( β = -0.56), and increased risk of cough (odds ratio = 1.67). Mendelian randomization provided genetic evidence consistent with potential causal effects of valsartan in lowering LDL-C ( β = -2.34 × 10 -3 ) and reducing the risk of transient cerebral ischemic attack.

conclusionOur genetic-based study suggests valsartan use may be associated with lowered LDL-C and reduced risks of certain ischemic cardiovascular events. These findings generate novel hypotheses regarding the drug's pleiotropic effects and potential applications beyond hypertension management, which warrant further clinical investigation.

Indexed as

HypertensionValsartanAgedBiological Specimen BanksFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedPhenomicsPhenotypePolymorphism, Single NucleotideUK BiobankUnited KingdomValsartancardiovascular diseasegenome-wide association studyMendelian randomizationphenome-wide association studyvalsartan

Identifiers

PMID41861149
PMCPMC13200868

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.