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A whole-genome scan for stroke or myocardial infarction in family blood pressure program families

  • Richard Sherva
  • , Michael B. Miller
  • , James S. Pankow
  • , Steven C. Hunt
  • , Eric Boerwinkle
  • , Thomas H. Mosley
  • , Alan B. Weder
  • , J. David Curb
  • , Amy Luke
  • , Alanna C. Morrison
  • , Myriam Fornage
  • , Donna K. Arnett

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND AND PURPOSE - Atherothrombotic diseases, including stroke and myocardial infarction, share a common pathogenesis. Chromosomal regions have been linked to atherothrombotic diseases in family studies, and association studies have identified candidate gene polymorphisms that affect the risk of stroke and/or myocardial infarction. Using data from the Family Blood Pressure Program, we tested for chromosomal regions linked to the composite phenotype of stroke or myocardial infarction in a large set of hypertensive families. METHODS - Nonparametric linkage analysis was implemented in MERLIN, which tests for excess allele-sharing among affected siblings. Empirical distributions based on gene dropping simulations were constructed for each test statistic, and the -log10 of the associated probability values were compared. RESULTS - Analyses were based on 9607 individuals in 226 black, 395 Hispanic, and 207 white families; 106 families had multiple affected individuals. Several regions showed linkage to stroke or myocardial infarction, most significantly in Hispanics on chromosomes 2p21 (-log10 P=3.0) and 7q21.1 (-log10 P=2.8), 9q32 in blacks and Hispanics (-log10 P=3.0), 11p13 in blacks (-log10 P=2.1), and 12q24.33 in whites (-log10 P=3.0). CONCLUSIONS - There is statistically significant evidence for loci affecting stroke or myocardial infarction on chromosomes 2, 9, and 12.

Original languageEnglish (US)
Pages (from-to)1115-1120
Number of pages6
JournalStroke
Volume39
Issue number4
DOIs
StatePublished - Apr 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cerebrovascular accident
  • Epidemiology
  • LOD score
  • Linkage (genetics)
  • Myocardial infarction

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