Variance-components QTL linkage analysis of selected and non-normal samples: Conditioning on trait values

Pak Chung Sham*, Jing Hua Zhao, Stacey S. Cherny, John K. Hewitt

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

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. (C) 2000 Wiley-Liss, Inc.

Original languageEnglish
Pages (from-to)S22-S28
JournalGenetic Epidemiology
Volume19
DOIs
StatePublished - 2000
Externally publishedYes

Funding

FundersFunder number
National Institute on Alcohol Abuse and AlcoholismR01AA010556
National Eye InstituteR01EY012562

    Keywords

    • Conditioning
    • Linkage
    • Normality
    • Quantitative trait loci (QTL)
    • Selection

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