Evidence map›Paper›PMID 41908051›Full record

ArticleFrontiers in cardiovascular medicine2026

Pathway-specific polygenic risk scores for blood pressure traits in a West African cohort.

Gregory Bormes, Vanessa Robbin, Tinashe Chikowore, Yuji Zhang, Ananyo Choudhury, Scott Hazelhurst, Neil A Hanchard, Sally N Adebamowo, Adebowale A Adeyemo, Bamidele Tayo

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Article in Frontiers in cardiovascular medicine, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Gregory BormesStritch School of Medicine, Loyola University Chicago, Maywood, IL, United States.
Vanessa RobbinStritch School of Medicine, Loyola University Chicago, Maywood, IL, United States.
Tinashe ChikoworeHarvard Medical School, Boston, MA, United States.
Yuji ZhangDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, United States.
Ananyo ChoudhurySydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa.
Scott HazelhurstSydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa.
Neil A HanchardCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States.
Sally N AdebamowoDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, United States.
Adebowale A AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States.
Bamidele TayoDepartment of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Genome-wide polygenic risk scores (PRSs) are useful for stratifying individuals' risk of polygenic diseases such as hypertension. However, a limitation of genome-wide PRSs is that they do not provide information about the distribution of risk burden across biological pathways. We used pathway-specific PRSs to investigate these effects of common antihypertensive therapy target pathways on disease risk in a cohort of West African individuals. Methods: A total of 11 pathways, comprising 1,149 unique genes, were selected based on the targets of commonly used antihypertensive agents. Pathway-specific PRSs for hypertension [individuals with systolic blood pressure (SBP) ≥140 mmHg, diastolic blood pressure (DBP) ≥90 mmHg, or taking antihypertensive medications] were calculated in a cohort of 2,295 individuals. The model was then validated and tested in independent cohorts of 1,614 and 966 individuals, respectively. All participants were recruited from the International Collaborative Study on Hypertension in Blacks. Results: In the combined pathway analysis, PRSs predicted risk better than base models fitted only with sex, age, and principal components. Compared with the base models without the PRSs, incremental increases in Conclusions: Combined pathway polygenic risk scores derived from genes in well-defined genetic pathways predict hypertension risk in individuals of African ancestry. However, the relatively low predictability of pathway-specific PRSs supports the need to explore the broader influence of genetic, environmental, and epigenetic factors that cannot be captured by pathway-specific PRSs alone.

Indexed as

antihypertensive agentsblood pressure traitsgenome-wide association study (GWAS)pathway-specificpolygenic risk scores

Identifiers

PMID41908051
PMCPMC13021488

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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 OpenQuestion graph.