Evidence map›Paper›PMID 37925478›Full record

ArticleNature communications2023

Ancestry-specific polygenic risk scores are risk enhancers for clinical cardiovascular disease assessments.

George B Busby, Scott Kulm, Alessandro Bolli, Jen Kintzle, Paolo Di Domenico, Giordano Bottà

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
9.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  6. An integrated cardiometabolic genetic testing program in a predominantly Hispanic population within a community setting.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
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  7. Non-Parametric Ancestry Adjustment for Polygenic Scores.medRxiv : the preprint server for health sciences · 2026
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  8. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

George B BusbyAllelica Inc, 447 Broadway, New York, NY, 10013, USA. george@allelica.com.ORCID 0000-0003-4148-6222
Scott KulmAllelica Inc, 447 Broadway, New York, NY, 10013, USA.
Alessandro BolliAllelica Inc, 447 Broadway, New York, NY, 10013, USA.
Jen KintzleAllelica Inc, 447 Broadway, New York, NY, 10013, USA.
Paolo Di DomenicoAllelica Inc, 447 Broadway, New York, NY, 10013, USA.
Giordano BottàAllelica Inc, 447 Broadway, New York, NY, 10013, USA. giordano@allelica.com.
Allen Hospital · USAssociation for Language Learning · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical implementation of new prediction models requires evaluation of their utility in a broad range of intended use populations. Here we develop and validate ancestry-specific Polygenic Risk Scores (PRSs) for Coronary Artery Disease (CAD) using 29,389 individuals from diverse cohorts and genetic ancestry groups. The CAD PRSs outperform published scores with an average Odds Ratio per Standard Deviation of 1.57 (SD = 0.14) and identify between 12% and 24% of individuals with high genetic risk. Using this risk factor to reclassify borderline or intermediate 10 year Atherosclerotic Cardiovascular Disease (ASCVD) risk improves assessments for both CAD (Net Reclassification Improvement (NRI) = 13.14% (95% CI 9.23-17.06%)) and ASCVD (NRI = 10.70 (95% CI 7.35-14.05)) in an independent cohort of 9,691 individuals. Our analyses demonstrate that using PRSs as Risk Enhancers improves ASCVD risk assessments outlining an approach for guiding ASCVD prevention with genetic information.

Indexed as

AtherosclerosisCardiovascular DiseasesCoronary Artery DiseaseHumansRisk AssessmentRisk Factors

Identifiers

PMID37925478
PMCPMC10625612
OpenAlexW4388338149

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.