Evidence map›Paper›PMID 40630603›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Pathway-Specific Polygenic Risk Scores for Blood Pressure Traits in a West African Cohort.

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

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Gregory BormesStritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Vanessa RobbinStritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Tinashe ChikworeHarvard Medical School, Boston, MA, USA.
Yuji ZhangDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
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 USA.
Sally N AdebamowoDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Adebowale A AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA.
Bamidele TayoDepartment of Public Health Sciences, Loyola University Parkinson School of Health Sciences and Public Health, Maywood, IL, USA.

Funding

GENETICS OF HYPERTENSION IN BLACKSR01HL053353 · NHLBI · LOYOLA UNIVERSITY CHICAGO · PI COOPER, RICHARD STANLEY · 1995 to 2013
$8.3M
Polygenic Risk Score (PRS) Methods and Analysis for Populations of Diverse Ancestry - Study SitesU01HG011717 · NHGRI · UNIVERSITY OF MARYLAND BALTIMORE · PI ADEBAMOWO, SALLY NNEOMA, TAYO, BAMIDELE OLUSEGUN · 2021 to 2025
$4.6M
NHGRI NIH HHS U01 HG011717NHLBI NIH HHS R01 HL053353
6 · The paper itself

Abstract

Introduction: Genome-wide polygenic risk scores (PRS) are useful for stratifying individuals' risk for polygenic diseases such as hypertension. However, a downside of genome-wide PRS is the lack of information about the distribution of risk burden across biologic pathways. We used pathway-specific PRS to investigate these effects within common anti-hypertensive therapy-target pathways on disease risk in a cohort of West Africans. Methods: A total of 11 pathways comprising 1,149 unique genes were selected based on the targets of common anti-hypertensive agents. Pathway-specific PRS for hypertension (individuals with systolic blood pressure (SBP) ≥140 mmHg, diastolic blood pressure (DBP) ≥90 mmHg, or taking anti-hypertensive medications) were computed in a cohort of 2,395 individuals. The model was then validated and tested in 1,614 and 966 separate individuals, respectively. All participants were recruited from the International Collaborative Study on Hypertension in Blacks. Results: In combined pathways analysis, PRS predicted risk better than base models fitted with only sex, age, and principal components. Compared to base models without the PRS, the incremental increases in R Conclusions: Combined pathway polygenic risk scores constructed from genes in well-defined genetic pathways predict hypertension risk in individuals of African ancestry. However, pathway-specific PRS's relatively low predictability supports the need to explore the broader influence of genetic, environmental, and epigenetic factors that cannot be captured by pathway-specific PRS alone.

Indexed as

Blood Pressure TraitsPathway-SpecificPolygenic Risk Scores

Identifiers

PMID40630603
PMCPMC12236893

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