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Detection and modeling of disease susceptibility locus effects: How much can be learned from contrast of populations?
Author(s) -
Génin Emmanuelle,
Guyon Frédéric,
MargaritteJeannin Patricia,
Quesneville Hadi,
ClergetDarpoux Françoise
Publication year - 1999
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.1370170792
Subject(s) - linkage disequilibrium , locus (genetics) , contrast (vision) , biology , genetics , population , disequilibrium , genetic association , disease , evolutionary biology , allele , genotype , haplotype , computer science , artificial intelligence , single nucleotide polymorphism , medicine , environmental health , gene , pathology , ophthalmology
We report the results of our analyses of the GAW11 Problem 2 data set, using information from three different populations. In the first part of the paper, we used classical population genetic tests to compare affected individuals from the different populations, stratifying on the environmental factors. Thanks to existing linkage disequilibrium in one population, we found one of the disease susceptibility loci. In the second part of the paper, we used the marker association segregation χ 2 method to model the role of this disease susceptibility locus in the different populations and draw some inferences regarding the model used at that locus to generate the data.