Detection of major genes underlying several quantitative traits associated with a common disease using different ascertainment schemes

Genetic Epidemiology
S IyengarK K Kidd

Abstract

Using the Problem 2A data sets of GAW10, we assessed the power of four ascertainment schemes to localize major genes underlying a disease trait; the schemes were based on disease or quantitative trait status of nuclear families. MAPMAKER/SIBS was used to perform sib-pair analysis for all four data sets using marker data from three chromosomes, 4, 5 and 8. Each scheme varied in power to identify major genes underlying the quantitative traits depending on the genetic architecture of the data set. Three different methods, Haseman-Elston quantitative trait locus (QTL) regression analysis, maximum likelihood variance estimation and a non-parametric method, were used to assess the strength of linkage in all four data sets. False positive mappings localizing to the same region of the genome, verifiable across all three methods did not occur. Two major genes, MG1 and MG2, were successfully assigned to chromosomes 5 and 8, respectively, by at least one of the ascertainment schemes. MG1 was localized under two schemes, selection of families with exactly two affected sibs and selection of families with two sibs who had extremely discordant values for Q1. Additional weak evidence of the location of MG1 was also obtained under the other two...Continue Reading

Citations

Jan 5, 2000·Journal of Bone and Mineral Research : the Official Journal of the American Society for Bone and Mineral Research·E L DuncanJ A Wass
Jun 15, 2007·Human Genetics·Olga Y GorlovaChristopher I Amos

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