Polygenic effects and cigarette smoking account for a portion of the familial aggregation of nuclear sclerosis

Alison P. Klein, Priya Duggal, Kristine E. Lee, Jennifer A. O'Neill, Ronald Klein, Joan E. Bailey-Wilson, Barbara E.K. Klein

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Cataract is the most common cause of blindness worldwide. Nuclear cataract, an advanced stage of nuclear sclerosis, is the most common type of age-related cataract. The authors assessed data from 2,089 persons within 620 extended pedigrees who participated in the 1988-1990 Beaver Dam Eye Study in Wisconsin to determine whether the observed familial aggregation of nuclear sclerosis could be explained by inheritance of a major gene. Familial correlations were examined and segregation analyses were performed on nuclear sclerosis measurements adjusted for age, sex, and pack-years of cigarette smoking. There was modest correlation among close family members after adjustment for age, sex, and pack-years of cigarette smoking: 0.084 between parents and offspring, and 0.198 between sibling pairs. Although results do not support involvement of a single major locus in the etiology of nuclear sclerosis, models that allowed for familial correlation, attributable in part to polygenic effects, did provide a better fit to the observed data than models without a polygenic effect. This finding suggests that several genes of modest effect may influence development of nuclear lens opacity, possibly in conjunction with environmental factors. Cigarette smoking was an important covariate in these analyses. Overall, results highlight the complex etiology of nuclear sclerosis.

Original languageEnglish (US)
Pages (from-to)707-713
Number of pages7
JournalAmerican journal of epidemiology
Volume161
Issue number8
DOIs
StatePublished - Apr 15 2005
Externally publishedYes

Keywords

  • Cataract
  • Eye diseases
  • Family
  • Genes
  • Genetic predisposition to disease
  • Heredity
  • Smoking

ASJC Scopus subject areas

  • Epidemiology

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