Genotype-by-sex interaction on fasting insulin concentration: The HyperGEN study

  • Kari E. North
  • , Nora Franceschini
  • , Ingrid B. Borecki
  • , C. Charles Gu
  • , Gerardo Heiss
  • , Michael A. Province
  • , Donna K. Arnett
  • , Cora E. Lewis
  • , Michael B. Miller
  • , Richard H. Myers
  • , Steven C. Hunt
  • , Barry I. Freedman

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Recent studies have demonstrated the importance of sex effects on the underlying genetic architecture of insulin-related traits. To explore sex-specific genetic effects on fasting insulin, we tested for genotype-by-sex interaction and conducted linkage analysis of fasting insulin in Hypertension Genetic Epidemiology Network families. Hypertensive siblings and their first-degree relatives were recruited from five field centers. We performed a genome scan for quantitative trait loci influencing fasting insulin among 1,505 European Americans and 1,616 African Americans without diabetes. Sex-stratified linear regression models, adjusted for race, center, and age, were explored. The Mammalian Genotyping Service typed 391 microsatellite markers, spaced roughly 9 cM. Variance component linkage analysis was performed in SOLAR using ethnic-specific marker allele frequencies and multipoint IBDs calculated in MERLIN. We detected a quantitative trait locus influencing fasting insulin in female subjects (logarithm of odds [LOD] = 3.4) on chromosome 2 at 95 cM (between GATA69E12 and GATA71G04) but not in male subjects (LOD = 0.0, P for interaction = 0.007). This sex-specific signal at 2p13.2 was detected in both European-American (LOD = 2.1) and African-American (LOD = 1.2) female subjects. Our findings overlap with several other linkage reports of insulin-related traits and demonstrate the importance of considering complex context-dependent interactions in the search for insulin-related genes.

Original languageEnglish
Pages (from-to)137-142
Number of pages6
JournalDiabetes
Volume56
Issue number1
DOIs
StatePublished - Jan 2007

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