Evidence map›Paper›PMID 33332181›Full record

ArticleCirculation. Genomic and precision medicine2021

Sexual Differences in Genetic Predisposition of Coronary Artery Disease.

Yunfeng Huang, Qin Hui, Marta Gwinn, Yi-Juan Hu, Arshed A Quyyumi, Viola Vaccarino, Yan V Sun

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.3field-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

27 citing papers in PubMed, 48 citations in OpenAlex.

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  7. Sex differences in proteomics of cardiovascular disease -International journal of cardiology. Heart & vasculature · 2025
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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

7 authors at 1 institution in 1 country.

Yunfeng HuangDepartment of Epidemiology (Y.H., Q.H., M.G., V.V., Y.V.S.), School of Medicine, Emory University, Atlanta, GA.
Qin HuiDepartment of Epidemiology (Y.H., Q.H., M.G., V.V., Y.V.S.), School of Medicine, Emory University, Atlanta, GA.
Marta GwinnDepartment of Epidemiology (Y.H., Q.H., M.G., V.V., Y.V.S.), School of Medicine, Emory University, Atlanta, GA.
Yi-Juan HuDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health (Y.-J.H.), School of Medicine, Emory University, Atlanta, GA.
Arshed A QuyyumiDivision of Cardiology (A.A.Q.), School of Medicine, Emory University, Atlanta, GA.
Viola VaccarinoDepartment of Epidemiology (Y.H., Q.H., M.G., V.V., Y.V.S.), School of Medicine, Emory University, Atlanta, GA.
Yan V SunDepartment of Epidemiology (Y.H., Q.H., M.G., V.V., Y.V.S.), School of Medicine, Emory University, Atlanta, GA.
Emory University · US

Funding

NRSA Training CoreTL1TR001875 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SPANN, MARISA N, TAYLOR, JACQUELYN Y · 2016 to 2025
$8.9M
Intergenerational Impact of Genetic and Psychological Factors on Blood PressureR01NR013520 · NINR · YALE UNIVERSITY · PI TAYLOR, JACQUELYN Y · 2014 to 2019
$3.9M
Association Tests of Rare Variants Using Sequence Reads without Calling GenotypesR01GM116065 · NIGMS · EMORY UNIVERSITY · PI HU, YIJUAN · 2015 to 2019
$1.5M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCATS NIH HHS TL1 TR001875NIGMS NIH HHS R01 GM116065NINR NIH HHS R01 NR013520
6 · The paper itself

Abstract

backgroundThe genomic structure that contributes to the risk of coronary artery disease (CAD) can be evaluated as a risk score of multiple variants. However, sex differences have not been fully examined in applications of genetic risk score (GRS) of CAD.

methodsUsing data from the UK Biobank, we constructed a CAD-GRS based on all known loci, 3 mediating trait-based (blood pressure, lipids, and body mass index) subscores, and a genome-wide polygenic risk score based on 1.1 million variants. The differences in genetic associations with prevalent and incident CAD between men and women were investigated among 317 509 unrelated individuals of the European ancestry. We also assessed interactions with sex for 161 individual loci included in the comprehensive GRS.

resultsFor both prevalent and incident CAD, the associations of comprehensive and genome-wide GRSs were stronger among men than women. Using a score of 161 loci, we observed a 2.4× higher risk for incident CAD comparing men with high genetic risk to men with low genetic risk but an 80% greater risk comparing women with high genetic risk to women with low genetic risk (interaction

conclusionsSexual differences in genetic predisposition should be considered in future studies of CAD, and GRSs should not be assumed to perform equally well in men and women.

Indexed as

Genetic Predisposition to DiseaseAgedBlood PressureBody Mass IndexCoronary Artery DiseaseFemaleGenetic LociGenome-Wide Association StudyHumansMaleMiddle AgedMultifactorial InheritanceProportional Hazards ModelsRisk FactorsSex Characteristicsblood pressurecoronary artery diseasemolecular epidemiologyrisk factorssex characteristics

Identifiers

PMID33332181
PMCPMC7887043
OpenAlexW3112784903

What OpenQuestion 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 OpenQuestion graph.