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A multivariate approach to affected-sib-pair analysis using highly dense molecular maps.

J N Bailey·C G Palmer·J A Woodward·S L Smalley
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Abstract

A multivariate approach to affected-sib-pair analyses was performed to localize disease-susceptibility genes with a minimum number of type I errors (false positives). Using 1,155 independent affected sib pairs extracted from Problem 2A of the GAW10 data set, we were able to localize major genes (MG) 1 and 2. Using 30% of the affected-sib-pair sample (N = 337) we were able to localize MG1. False positives were not detected in either of these samples.

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Computer SimulationFemaleGenetic Diseases, InbornGenetic Predisposition to DiseaseHumansMaleMatched-Pair AnalysisModels, GeneticMultivariate AnalysisNuclear FamilyPredictive Value of TestsJournal Article

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BibTeXRIS

J N Bailey, C G Palmer, J A Woodward, S L Smalley. 1997. A multivariate approach to affected-sib-pair analysis using highly dense molecular maps.. https://doi.org/10.1002/(sici)1098-2272(1997)14%3A6%3C761%3A%3Aaid-gepi33%3E3.0.co%3B2-m

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