Parametric linkage analysis and disequilibrium methods to identify loci for complex disease

J. McClintick, D. L. Koller, N. Pankratz, S. C. Kirkwood, B. Naughton, T. Foroud

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

A two-step process was used to find loci contributing to the qualitative disease phenotype in the Genetic Analysis Workshop (GAW) 12 simulated data. The first step used parametric linkage analysis with a limited number of dominant and recessive models to detect linkage to chromosomal regions. Subsequently, a subset of the simulated biallelic sequence polymorphisms was used for transmission/disequilibrium tests and to build haplotypes to fine map the disease - predisposing polymorphism(s). A haplotype, strongly associated with the disease phenotype whose proximal end was within 39 base pairs of the functional allele for simulated major gene 6, was identified in the isolated population.

Original languageEnglish (US)
Pages (from-to)S528-S533
JournalGenetic epidemiology
Volume21
Issue numberSUPPL. 1
DOIs
StatePublished - 2001

Keywords

  • Association
  • Linkage
  • SNPs
  • Transmission/disequilibrium

ASJC Scopus subject areas

  • Genetics(clinical)
  • Epidemiology

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