A multivariate approach to affected-sib-pair analysis using highly dense molecular maps.
作者信息
Bailey J N, Palmer C G, Woodward J A, Smalley S L
机构信息
Department of Psychiatry, University of California Los Angeles, USA.
出版信息
Genet Epidemiol. 1997;14(6):761-6. doi: 10.1002/(SICI)1098-2272(1997)14:6<761::AID-GEPI33>3.0.CO;2-M.
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.
摘要
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