Evidence map›Paper›PMID 21507254›Full record

ArticleBMC medical genetics2011

Geographic differences in allele frequencies of susceptibility SNPs for cardiovascular disease.

Keyue Ding, Iftikhar J Kullo

Abstract read
In one paragraph

Article in BMC medical genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Admixture Mapping of Lipid Traits in Hispanic Americans.Journal of the American Heart Association · 2025
    Article
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  5. Article
  6. Influence ofJournal of personalized medicine · 2020
    Article
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  9. Article
  10. Review
  11. Article
  12. Article
  13. Basigin rs8259 Polymorphism Confers Decreased Risk of Chronic Heart Failure in a Chinese Population.International journal of environmental research and public health · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Keyue DingDivision of Cardiovascular Diseases, Mayo Clinic, Rochester, MN 55905, USA.
Iftikhar J Kullo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe hypothesized that the frequencies of risk alleles of SNPs mediating susceptibility to cardiovascular diseases differ among populations of varying geographic origin and that population-specific selection has operated on some of these variants.

methodsFrom the database of genome-wide association studies (GWAS), we selected 36 cardiovascular phenotypes including coronary heart disease, hypertension, and stroke, as well as related quantitative traits (eg, body mass index and plasma lipid levels). We identified 292 SNPs in 270 genes associated with a disease or trait at P < 5 × 10⁻⁸. As part of the Human Genome-Diversity Project (HGDP), 158 (54.1%) of these SNPs have been genotyped in 938 individuals belonging to 52 populations from seven geographic areas. A measure of population differentiation, F(ST), was calculated to quantify differences in risk allele frequencies (RAFs) among populations and geographic areas.

resultsLarge differences in RAFs were noted in populations of Africa, East Asia, America and Oceania, when compared with other geographic regions. The mean global F(ST) (0.1042) for 158 SNPs among the populations was not significantly higher than the mean global F(ST) of 158 autosomal SNPs randomly sampled from the HGDP database. Significantly higher global F(ST) (P < 0.05) was noted in eight SNPs, based on an empirical distribution of global F(ST) of 2036 putatively neutral SNPs. For four of these SNPs, additional evidence of selection was noted based on the integrated Haplotype Score.

conclusionLarge differences in RAFs for a set of common SNPs that influence risk of cardiovascular disease were noted between the major world populations. Pairwise comparisons revealed RAF differences for at least eight SNPs that might be due to population-specific selection or demographic factors. These findings are relevant to a better understanding of geographic variation in the prevalence of cardiovascular disease.

Indexed as

Gene FrequencyGeographyCardiovascular DiseasesEvolution, MolecularGenetic Predisposition to DiseaseGenome, HumanGenome-Wide Association StudyHaplotypesHumansInternationalityPolymorphism, Single NucleotideSelection, Genetic

Identifiers

PMID21507254
PMCPMC3103418

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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.