✦ LIBER ✦

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

✍ Scribed by Julia N. Bailey; Christina G.S. Palmer; J. Arthur Woodward; Susan L. Smalley

Publisher: John Wiley and Sons
Year: 1997
Tongue: English
Weight: 31 KB
Volume: 14
Category: Article
ISSN: 0741-0395
DOI: 10.1002/(sici)1098-2272(1997)14:6<761::aid-gepi33>3.0.co;2-m

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✦ Synopsis

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.