Evidence map›Paper›PMID 38642556›Full record

ArticleMed (New York, N.Y.)2024

Modification of coronary artery disease clinical risk factors by coronary artery disease polygenic risk score.

Buu Truong, Yunfeng Ruan, Sara Haidermota, Aniruddh Patel, Ida Surakka, Whitney Hornsby, Satoshi Koyama, S Hong Lee, Pradeep Natarajan

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Med (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 10 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

9 authors at 2 institutions in 2 countries.

Buu TruongCardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, MA, USA.
Yunfeng RuanCardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, MA, USA.
Sara HaidermotaCardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, MA, USA.
Aniruddh PatelCardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, MA, USA.
Ida SurakkaCardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, MA, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Whitney HornsbyCardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, MA, USA.
Satoshi KoyamaCardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, MA, USA.
S Hong LeeAustralian Centre for Precision Health, University of South Australia, Adelaide, SA 5000, Australia; UniSA Allied Health and Human Performance, University of South Australia, Adelaide, SA 5000, Australia.
Pradeep NatarajanCardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA. Electronic address: pnatarajan@mgh.harvard.edu.
Broad Institute · USUniversity of South Australia · AU

Funding

Polygenic Risk Scores for Diverse Populations - Bridging Research and Clinical CareR01HL151152 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Christy Leigh Avery, Jennifer Below · 2020 to 2026
$12.3M
Using genetic variation to study biology of blood lipids & coronary heart diseaseR01HL127564 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Pradeep Natarajan, Gina Marie Peloso · 2015 to 2026
$7.3M
Enabling improved applicability and transferability of polygenic scores across populationsU01HG011719 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Alicia Martin · 2021 to 2026
$5.5M
Interdisciplinary training: Statistical Genetics/Genomics and Computational BiologyT32GM135117 · NIGMS · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Curtis Huttenhower, XIHONG LIN · 2020 to 2026
$3.1M
Advancing the clinical actionability of polygenic scores for coronary artery diseaseK08HL168238 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Aniruddh Patel · 2024 to 2026
$511k
Whole genome sequence interpretation for lipids to discover new genes and mechanisms for coronary artery diseaseK99HL169733 · NHLBI · BROAD INSTITUTE, INC. · PI KOYAMA, SATOSHI · 2023 to 2024
$330k
NHGRI NIH HHS U01 HG011719NHLBI NIH HHS K08 HL168238NHLBI NIH HHS K99 HL169733NHLBI NIH HHS R01 HL127564NHLBI NIH HHS R01 HL151152NIGMS NIH HHS T32 GM135117
6 · The paper itself

Abstract

backgroundThe extent to which the relationships between clinical risk factors and coronary artery disease (CAD) are altered by CAD polygenic risk score (PRS) is not well understood. Here, we determine whether the interactions between clinical risk factors and CAD PRS further explain risk for incident CAD.

methodsParticipants were of European ancestry from the UK Biobank without prevalent CAD. An externally trained genome-wide CAD PRS was generated and then applied. Clinical risk factors were ascertained at baseline. Cox proportional hazards models were fitted to examine the incident CAD effects of CAD PRS, risk factors, and their interactions. Next, the PRS and risk factors were stratified to investigate the attributable risk of clinical risk factors.

findingsA total of 357,144 individuals of European ancestry without prevalent CAD were included. During a median of 11.1 years of follow-up (interquartile range 10.4-14.1 years), CAD PRS was associated with 1.35-fold (95% confidence interval [CI] 1.332-1.368) risk per SD for incident CAD. The prognostic relevance of the following risk factors was relatively diminished for those with high CAD PRS on a continuous scale: type 2 diabetes (hazard ratio [HR]

conclusionThe CAD PRS is associated with incident CAD, and its application improves the prognostic relevance of several clinical risk factors.

fundingP.N. (R01HL127564, R01HL151152, and U01HG011719) is supported by the National Institutes of Health.

Indexed as

Coronary Artery DiseaseAdultAgedDiabetes Mellitus, Type 2FemaleGenetic Risk ScoreGenome-Wide Association StudyHeart Disease Risk FactorsHumansIncidenceMaleMiddle AgedMultifactorial InheritanceProportional Hazards ModelsRisk AssessmentRisk Factorsclinical utilityinteractionprecision medicinePRSTranslation to population health

Identifiers

PMID38642556
PMCPMC11088498
OpenAlexW4394965008

What OpenQuestion holds

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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.