Evidence map›Paper›PMID 20440292›Full record

ReviewNature reviews. Cardiology2010

Early identification of cardiovascular risk using genomics and proteomics.

Iftikhar J Kullo, Leslie T Cooper

Registry-linked trialAbstract readReview
In one paragraph

Review in Nature reviews. Cardiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03427489 (A Biorepository for Discovering Novel Biochemical and Genetic Markers of Coronary Heart Disease in Qatar), which is not on this map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–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.

NCT03427489 completednot on this mapstarted 2013, after this paper: background citation

A Biorepository for Discovering Novel Biochemical and Genetic Markers of Coronary Heart Disease in Qatar (QCBio)

TypeobservationalSponsorHamad Medical CorporationRan2013 to 2018Enrolled2,100ConditionsCoronary Heart Disease (CHD)
3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Omics research in atherosclerosis.Molecular and cellular biochemistry · 2025
    Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. The Journal of international medical research · 2020
    Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Cardiovascular genomics: a biomarker identification pipeline.IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society · 2012
    Review
  20. Review
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.

Iftikhar J KulloDivision of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA. kullo.iftikhar@mayo.edu
Leslie T Cooper

Funding

EMR Phenotypes and Community Engaged Genomic AssociationsU01HG004599 · NHGRI · MAYO CLINIC ROCHESTER · PI CHUTE, CHRISTOPHER G · 2007 to 2010
$3.7M
Proteomic Markers of ArteriosclerosisU01HL081331 · NHLBI · MAYO CLINIC ROCHESTER · PI KULLO, IFTIKHAR J · 2005 to 2008
$3.7M
NHGRI NIH HHS HG04599NHGRI NIH HHS U01 HG004599NHLBI NIH HHS HL81331NHLBI NIH HHS U01 HL081331
6 · The paper itself

Abstract

Coronary heart disease (CHD) will soon become the leading cause of death and morbidity in the world. Early detection and treatment of CHD is thus imperative to improve global health. Atherosclerosis of the coronary arteries is a complex multifactorial disease process involving multiple pathways that can be influenced by both genetic and environmental factors. With the recent advances in genomics and proteomics, many new risk factors with small-to-moderate effects are likely to be identified. Additionally, individualized risk stratification and targeted therapy may become feasible; each individual could potentially be assessed with a panel of tests for genomic and proteomic markers and, on the basis of the individual's composite risk profile, preventive and therapeutic steps could then be undertaken. With a multimarker approach, it may also be possible to identify alterations in pathways involved in atherogenesis, rather than focus on individual risk factors. In this article, we use the specific example of atherosclerosis to discuss the role of genomics and proteomics in cardiovascular risk assessment.

Indexed as

ProteomicsAlgorithmsCardiovascular DiseasesEnvironmentGenetic MarkersGenome-Wide Association StudyGenomicsHumansPolymorphism, Single NucleotidePrognosisRisk AssessmentRisk FactorsTime FactorsGenetic Markers

Identifiers

PMID20440292
PMCPMC2939903

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.