4.6 Article

Impact of a Genetic Risk Score on Myocardial Infarction Risk Across Different Ethnic Populations

期刊

CANADIAN JOURNAL OF CARDIOLOGY
卷 32, 期 12, 页码 1440-1446

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.cjca.2016.05.014

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资金

  1. Hamilton Health Sciences New Investigator Fund
  2. Canadian Institutes of Health Research
  3. Heart and Stroke Foundation of Ontario
  4. International Clinical Epidemiology Network (INCLEN)
  5. AstraZeneca
  6. Novartis
  7. Aventis
  8. Abbott
  9. Bristol-Myers Squibb
  10. King Pharma
  11. Sanofi-Synthelabo

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Background: Myocardial infarction (MI) risk varies by ethnicity, although the influence of genetic factors remains unclear. Using a genetic risk score (GRS), we examined the association between 25 coronary artery disease (CAD)-related single nucleotide polymorphisms and MI across 6 ethnic groups. Methods: We studied 8556 participants in the INTERHEART case-control study from 6 ethnic groups: Europeans, South Asians, Southeast Asians, Arabs, Latin Americans, and Africans. Associations between the GRS and MI were tested in each group by logistic regression and overall by meta-analysis. Results: Overall, the GRS increased the odds of MI by 1.07 (95% confidence interval [CI], 1.04-1.09) per risk allele in the unadjusted model, with little change (odds ratio, 1.06; 95% CI, 1.04-1.09) after adjusting for demographic and modifiable factors. In Europeans, South Asians, Southeast Asians, and Arabs, the GRS was significantly associated with MI, with minimal heterogeneity observed. In these groups, a score > 23 risk alleles (highest 4 quintiles) was associated with only a 5% difference in population attributable risk (PAR) (36% to 41%) for MI. The GRS was not significant in Latin Americans or Africans. In the overall cohort, modest changes, beyond clinical factors, in PAR (88% to 91%), concordance statistic (0.73 to 0.74), and continuous net reclassification improvement (12%) were observed with the GRS. Conclusions: A CAD GRS is associated with MI across a multiethnic cohort, with significant and consistent effects across 4 distinct ethnicities. However, it only modestly improves MI risk prediction beyond clinical factors.

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