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Identification of susceptibility loci contributing to a complex disease using conventional segregation, linkage, and association methods
Author(s) -
Falk C. T.,
Ashley A.,
Lamb N.,
Sherman S. L.
Publication year - 1995
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.1370120613
Subject(s) - locus (genetics) , genetics , genetic linkage , haplotype , genetic association , trait , allele , biology , quantitative trait locus , linkage (software) , allelic heterogeneity , population , multiple comparisons problem , gene , genotype , medicine , single nucleotide polymorphism , statistics , computer science , mathematics , environmental health , programming language
We set out to apply conventional analytic methods to a GAW data set of nuclear families with an oligogenic disease that has a population prevalence of 0.023. We chose methods generally applied to disorders with at least one major gene. Our approaches included: (1) complex segregation analysis under two models of ascertainment, (2) linkage analysis assuming either a single‐locus trait with possible genetic heterogeneity or a two‐locus trait, and (3) allelic association studies using both a case/control approach and the haplotype relative risk (HRR) test. The association study was the only analysis of the three that provided evidence for genes playing a role in the etiology of this disorder. ©1995 Wiley‐Liss, Inc.