Premium
Variance‐components QTL linkage analysis of selected and non‐normal samples: Conditioning on trait values
Author(s) -
Sham Pak Chung,
Zhao Jing Hua,
Cherny Stacey S.,
Hewitt John K.
Publication year - 2000
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 - 10.1002/1098-2272(2000)19:1+<::aid-gepi4>3.0.co;2-s
Subject(s) - quantitative trait locus , trait , linkage (software) , statistics , analysis of variance , variance (accounting) , biology , mathematics , genetics , computer science , gene , accounting , business , programming language
Standard variance‐components quantitative trait loci (QTL) linkage analysis can produce an elevated rate of type 1 errors when applied to selected samples and non‐normal data. Here we describe an adjustment of the log‐likelihood function based on conditioning on trait values. This leads to a likelihood ratio test that is valid in selected samples and non‐normal data, and equal in power to alternative methods for analyzing selected samples that require knowledge of the ascertainment procedure or the trait values of non‐selected individuals. Genet. Epidemiol. 19(Suppl 1):S22–S28, 2000. © 2000 Wiley‐Liss, Inc.