Evidence map›Paper›PMID 37536150›Full record

ArticleAtherosclerosis2023

Polygenic risk score in comparison with C-reactive protein for predicting incident coronary heart disease.

Aaron W Aday, Minoo Bagheri, Nataraja Sarma Vaitinadin, Jonathan D Mosley, Thomas J Wang

Open access · greenAbstract read
In one paragraph

Article in Atherosclerosis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Aaron W AdayVanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, TN, USA; Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: aaron.w.aday@vumc.org.
Minoo BagheriDivision of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Nataraja Sarma VaitinadinDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Jonathan D MosleyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Thomas J WangDepartment of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Vanderbilt University Medical Center · USThe University of Texas Southwestern Medical Center · US

Funding

FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI RAMACHANDRAN, VASAN · 2019 to 2024
$29.8M
Leveraging common genetic variation to reduce misclassification of non-diseased individuals and unnecessary health care utilization attributable to surrogate biomarkersR01GM130791 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MOSLEY, JONATHAN DAVID · 2019 to 2023
$2.3M
GWA for Gene-Environment Interaction Effects Influencing CHDU01HG004402 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2007 to 2009
$1.6M
The Impact of Thrombosis and Antithrombotic Therapy on Peripheral Artery DiseaseK23HL151871 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ADAY, AARON W. · 2021 to 2025
$927k
Leveraging multi-omics for endotyping to identify subtypes and mechanisms of cardiometabolic diseasesK01HL165020 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Minoo Bagheri · 2023 to 2026
$642k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
American Heart Association-American Stroke Association 16FTF30130005NHGRI NIH HHS U01 HG004402NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS K01 HL165020NHLBI NIH HHS K23 HL151871NHLBI NIH HHS N01 HC025195NIGMS NIH HHS R01 GM130791
6 · The paper itself

Abstract

BACKGROUND AND

aimsDespite interest in the use of polygenic risk scores (PRS) for predicting coronary heart disease (CHD) risk, the clinical utility of PRS compared to conventional risk factors has not been demonstrated. We compared the performance of PRS with that of high-sensitivity C-reactive protein (hsCRP) in two well-established cohorts.

methodsThe study population included individuals of European ancestry free of baseline CHD from ARIC (N = 13,113) and the Framingham Offspring Study (FHS) (N = 2,696). The primary predictors included a validated PRS consisting of >6.6 million single nucleotide polymorphisms and hsCRP. The outcome was incident CHD, defined as non-fatal or fatal myocardial infarction. We compared the performance of both predictors after adjusting for the Pooled Cohort Equations in multivariable-adjusted Cox regression models. We assessed discrimination and reclassification using c-statistics and net reclassification improvement.

resultsIncident CHD occurred in 565 ARIC and 153 FHS participants. In multivariable-adjusted models, both PRS and hsCRP were associated with incident CHD (p < 0.05 in both cohorts). In models incorporating both predictors, strengths of association were similar. For instance, in ARIC, the hazard ratio per SD increment was 1.38 (95% CI, 1.27-1.50, p = 2.94 × 10

conclusionsIn two independent cohorts, PRS performed similarly to hsCRP for the prediction of CHD risk. These findings suggest PRS does not have unique clinical utility beyond this widely-available, inexpensive measure of risk in unselected middle-aged populations.

Indexed as

Coronary DiseaseMyocardial InfarctionC-Reactive ProteinHumansMiddle AgedRisk AssessmentRisk FactorsC-Reactive ProteinCoronary heart diseaseC-reactive proteinPolygenic risk scoresRisk prediction

Identifiers

PMID37536150
PMCPMC10529589
OpenAlexW4385358567

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.