Linkage analysis of factors underlying insulin resistance: Strong heart family study

Kari E. North, Laura Almasy, Harald H.H. Göring, Shelley A. Cole, Vincent P. Diego, Sandra Laston, Teresa Cantu, Jeff T. Williams, Barbara V. Howard, Elisa T. Lee, Lyle G. Best, Richard R. Fabsitz, Jean W. MacCluer

Research output: Contribution to journalReview articlepeer-review

10 Scopus citations


In previous work in non-diabetic participants of the Strong Heart Family Study, we identified three heritable principal components of nine insulin resistance (IR) phenotypes: 1) a glucose/insulin/obesity factor, 2) a blood pressure factor, and 3) a dyslipidemia factor. To localize quantitative trait loci (QTL) potentially influencing these factors, we conducted a genome scan of factor scores in Strong Heart Family Study participants. Approximately 599 men and women, ≥ 18 years of age, in 32 extended families at three centers (in Arizona, Oklahoma, and North and South Dakota), were examined between 1997 and 1999. We used variance components linkage analysis to identify QTLs for the IR factors. With age, sex, and study center as covariates, we detected linkage of the glucose/insulin/obesity factor to chromosome 4 (robust logarithm of the odds (LOD) = 2.2), the dyslipidemia factor to chromosome 12 (robust LOD = 2.7), and the blood pressure factor to chromosome 1 (robust LOD = 1.6). The peak linkage signals identified for these IR factors support several positive findings from other studies and occur in regions harboring interesting candidate genes. The corroboration of existing QTLs will bring us closer to the identification of the functional genes that predispose to IR.

Original languageEnglish (US)
Pages (from-to)1877-1884
Number of pages8
JournalObesity Research
Issue number11
StatePublished - 2005
Externally publishedYes


  • American Indians
  • Human chromosome 12
  • Human chromosome 4
  • Insulin resistance
  • Linkage

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Food Science
  • Endocrinology, Diabetes and Metabolism
  • Endocrinology
  • Public Health, Environmental and Occupational Health


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