Evidence map›Paper›PMID 35880530›Full record

ArticleCirculation2022

Predictive Utility of a Validated Polygenic Risk Score for Long-Term Risk of Coronary Heart Disease in Young and Middle-Aged Adults.

Sadiya S Khan, Courtney Page, Daniel M Wojdyla, Yosef Y Schwartz, Philip Greenland, Michael J Pencina

Open access · bronzeAbstract read
In one paragraph

Article in Circulation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  7. Hypothesis test of specific parametric structure in a generalized additive model.medRxiv : the preprint server for health sciences · 2025
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  8. Review
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  11. Considering Social and Genetic Factors in Cardiovascular Disease Risk.Journal of the American College of Cardiology · 2024
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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 1 country.

Sadiya S KhanDepartment of Preventive Medicine (S.S.K., P.G.), Northwestern University Feinberg School of Medicine, Chicago, IL.ORCID 0000-0003-0643-1859
Courtney PageDuke Clinical Research Institute (C.P., D.M.W., M.J.P.), Duke University School of Medicine, Durham, NC.
Daniel M WojdylaDuke Clinical Research Institute (C.P., D.M.W., M.J.P.), Duke University School of Medicine, Durham, NC.
Yosef Y SchwartzDepartment of Medicine (Y.Y.S.), Northwestern University Feinberg School of Medicine, Chicago, IL.
Philip GreenlandDepartment of Preventive Medicine (S.S.K., P.G.), Northwestern University Feinberg School of Medicine, Chicago, IL.ORCID 0000-0002-6327-2439
Michael J PencinaDuke Clinical Research Institute (C.P., D.M.W., M.J.P.), Duke University School of Medicine, Durham, NC.ORCID 0000-0002-1968-2641
Duke University · USNorthwestern University · US

Funding

The Claude D. Pepper Older Americans Independence Center (OAIC) at Northwestern UniversityP30AG059988 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LINDER, JEFFREY A., WOLF, MICHAEL S · 2020 to 2024
$7.1M
Patterns of Cardiopulmonary health across the life courseR01HL159250 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KHAN, SADIYA SANA · 2021 to 2025
$3.5M
CHIcago Center for Accelerating nextGen Omics, deep phenotyping, and data science in Heart Failure (CHICAGO-HF)U01HL160279 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Sadiya Sana Khan, Laura J Rasmussen-Torvik · 2021 to 2026
$1.8M
QuBBD: Deep Poisson Methods for Biomedical Time-to-Event and Longitude Data R01EB025020 · NIBIB · DUKE UNIVERSITY · PI CARIN, LAWRENCE, HENAO GIRALDO, RICARDO · 2017 to 2019
$773k
NHLBI NIH HHS R01 HL159250NHLBI NIH HHS U01 HL160279NIA NIH HHS P30 AG059988NIBIB NIH HHS R01 EB025020
6 · The paper itself

Abstract

backgroundUnderstanding the predictive utility of previously derived polygenic risk scores (PRSs) for long-term risk of coronary heart disease (CHD) and its additive value beyond traditional risk factors can inform prevention strategies.

methodsData from adults 20 to 59 years of age who were free of CHD from the FOS (Framingham Offspring Study) and the ARIC (Atherosclerosis Risk in Communities) study were analyzed. Because the PRS was derived from samples of predominantly European ancestry, individuals who self-reported White race were included. The sample was stratified by age and cohort: young (FOS, 20-39 years [median, 30 years] of age), early midlife (FOS, 40-59 years [median, 43] years of age), and late midlife (ARIC, 45-59 years [median, 52 years] of age). Two previously derived and validated prediction tools were applied: (1) a 30-year traditional risk factor score and (2) a genome-wide PRS comprising >6 million genetic variants. Hazard ratios for the association between each risk estimate and incident CHD were calculated. Predicted and observed rates of CHD were compared to assess discrimination for each model individually and together with the optimism-corrected C index (95% CI).

resultsAmong 9757 participants, both the traditional risk factor score (hazard ratio per 1 SD, 2.60 [95% CI, 2.08-3.27], 2.09 [95% CI, 1.83-2.40], and 2.11 [95% CI, 1.96-2.28]) and the PRS (hazard ratio, 1.98 [95% CI, 1.70-2.30], 1.64 [95% CI, 1.47-1.84], and 1.22 [95% CI, 1.15-1.30]) were significantly associated with incident CHD in young, early midlife, and late midlife, respectively. Discrimination was similar or better for the traditional risk factor score (C index, 0.74 [95% CI, 0.70-0.78], 0.70 [95% CI, 0.67-0.72], and 0.72 [95% CI, 0.70-0.73]) compared with an age- and sex-adjusted PRS (0.73 [95% CI, 0.69-0.78], 0.66 [95% CI, 0.62-0.69], and 0.66 [95% CI, 0.64-0.67]) in young, early-midlife, and late-midlife participants, respectively. The ΔC index when PRS was added to the traditional risk factor score was 0.03 (95% CI, 0.001-0.05), 0.02 (95% CI, -0.002 to 0.037), and 0.002 (95% CI, -0.002 to 0.006) in young, early-midlife, and late-midlife participants, respectively.

conclusionsDespite a statistically significant association between PRS and 30-year risk of CHD, the C statistic improved only marginally with the addition of PRS to the traditional risk factor model among young adults and did not improve among midlife adults. PRS, an immutable factor that cannot be directly intervened on, has minimal clinical utility for long-term CHD prediction when added to a traditional risk factor model.

Indexed as

Coronary DiseaseGenetic Predisposition to DiseaseHumansMiddle AgedProportional Hazards ModelsRisk AssessmentRisk FactorsYoung Adultcoronary artery diseasegenetic predisposition to diseaserisk assessmentrisk factors

Identifiers

PMID35880530
PMCPMC9398962
OpenAlexW4288054362

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Registered trials

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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.