Evidence map›Paper›PMID 28286336›Full record

ReviewNature reviews. Genetics2017

Genetics of coronary artery disease: discovery, biology and clinical translation.

Amit V Khera, Sekar Kathiresan

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 337 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
337citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

337 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Pooled it
  5. Review
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  15. Journal of clinical medicine · 2026
    Article
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  17. ADHD and metabolic syndrome: behavioral and weight-related pathways to cardiovascular risk.European archives of psychiatry and clinical neuroscience · 2026
    Article
  18. Review
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  20. Article

277 more citing papers are in PubMed but not listed here.

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

2 authors.

Amit V KheraDivision of Cardiology, Department of Medicine and Center for Genomic Medicine, Massachusetts General Hospital; Cardiovascular Disease Initiative, Broad Institute of Harvard and Massachusetts Institute of Technology, 185 Cambridge Street, CPZN 5.252, Boston, Massachusetts 02114, USA.
Sekar KathiresanDivision of Cardiology, Department of Medicine and Center for Genomic Medicine, Massachusetts General Hospital; Cardiovascular Disease Initiative, Broad Institute of Harvard and Massachusetts Institute of Technology, 185 Cambridge Street, CPZN 5.252, Boston, Massachusetts 02114, USA.

Funding

Center for Common Disease GeneticsUM1HG008895 · NHGRI · BROAD INSTITUTE, INC. · PI DALY, MARK JOSEPH, GABRIEL, STACEY · 2016 to 2020
$111.2M
Harvard Clinical and Translational Science CenterKL2TR001100 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$8.5M
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
NCATS NIH HHS KL2 TR001100NHGRI NIH HHS UM1 HG008895NHLBI NIH HHS R01 HL127564
6 · The paper itself

Abstract

Coronary artery disease is the leading global cause of mortality. Long recognized to be heritable, recent advances have started to unravel the genetic architecture of the disease. Common variant association studies have linked approximately 60 genetic loci to coronary risk. Large-scale gene sequencing efforts and functional studies have facilitated a better understanding of causal risk factors, elucidated underlying biology and informed the development of new therapeutics. Moving forwards, genetic testing could enable precision medicine approaches by identifying subgroups of patients at increased risk of coronary artery disease or those with a specific driving pathophysiology in whom a therapeutic or preventive approach would be most useful.

Indexed as

AnimalsCoronary Artery DiseaseHumansPrecision MedicineTranslational Research, Biomedical

Identifiers

PMID28286336
PMCPMC5935119

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.