Evidence map›Paper›PMID 28640878›Full record

ArticlePLoS genetics2017

Genetic loci associated with coronary artery disease harbor evidence of selection and antagonistic pleiotropy.

Sean G Byars, Qin Qin Huang, Lesley-Ann Gray, Andrew Bakshi, Samuli Ripatti, Gad Abraham, Stephen C Stearns, Michael Inouye

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
8.4field-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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Evolutionary genetics of ageing.Nature reviews. Genetics · 2026
    Review
  5. Article
  6. Article
  7. Genetic and functional evidence implicates amedRxiv : the preprint server for health sciences · 2025
    Article
  8. Review
  9. Article
  10. A deep catalog of protein-coding variation in 985,830 individuals.bioRxiv : the preprint server for biology · 2023
    Article
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  15. Article
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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

8 authors at 4 institutions in 4 countries.

Sean G ByarsCentre for Systems Genomics, School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia.
Qin Qin HuangCentre for Systems Genomics, School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia.ORCID http://orcid.org/0000-0003-3073-717X
Lesley-Ann GrayCentre for Systems Genomics, School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia.
Andrew BakshiCentre for Systems Genomics, School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia.ORCID http://orcid.org/0000-0001-5650-7036
Samuli RipattiInstitute of Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.
Gad AbrahamCentre for Systems Genomics, School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia.ORCID http://orcid.org/0000-0003-4853-0118
Stephen C StearnsDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, United States of America.
Michael InouyeCentre for Systems Genomics, School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia.
Baker Heart and Diabetes Institute · AUThe University of Melbourne · AUUniversity of Helsinki · FIYale University · US

Funding

THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
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NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NHLBI NIH HHS N02 HL064278
6 · The paper itself

Abstract

Traditional genome-wide scans for positive selection have mainly uncovered selective sweeps associated with monogenic traits. While selection on quantitative traits is much more common, very few signals have been detected because of their polygenic nature. We searched for positive selection signals underlying coronary artery disease (CAD) in worldwide populations, using novel approaches to quantify relationships between polygenic selection signals and CAD genetic risk. We identified new candidate adaptive loci that appear to have been directly modified by disease pressures given their significant associations with CAD genetic risk. These candidates were all uniquely and consistently associated with many different male and female reproductive traits suggesting selection may have also targeted these because of their direct effects on fitness. We found that CAD loci are significantly enriched for lifetime reproductive success relative to the rest of the human genome, with evidence that the relationship between CAD and lifetime reproductive success is antagonistic. This supports the presence of antagonistic-pleiotropic tradeoffs on CAD loci and provides a novel explanation for the maintenance and high prevalence of CAD in modern humans. Lastly, we found that positive selection more often targeted CAD gene regulatory variants using HapMap3 lymphoblastoid cell lines, which further highlights the unique biological significance of candidate adaptive loci underlying CAD. Our study provides a novel approach for detecting selection on polygenic traits and evidence that modern human genomes have evolved in response to CAD-induced selection pressures and other early-life traits sharing pleiotropic links with CAD.

Indexed as

Genetic LociGenetic PleiotropySelection, GeneticCoronary Artery DiseaseGenetic FitnessHapMap ProjectHumansPolymorphism, Single Nucleotide

Identifiers

PMID28640878
PMCPMC5480811
OpenAlexW2952888622

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.