Conditional Multipoint Linkage Analysis Using Affected Sib Pairs: An Alternative Approach

Yen Feng Chiu, Kung Yee Liang

Research output: Contribution to journalArticle

Abstract

Recently, Liang et al. ([2001b] Genet. Epidemiol. 21:105-122) proposed a conditional approach to assess linkage evidence on the target region by incorporating linkage information from an unlinked (reference) region using allele shared IBD (identity-by-decent) from affected sib pairs. This is carried out by conditioning on the IBD sharing value at the estimated trait locus of the reference region. Since markers considered are typically non-fully informative, the IBD sharing at each marker needs to be estimated (or imputed). In this report, we propose an alternative approach to deal with the IBD sharing in the reference region. This new approach makes full use of the observed data without having to categorize the imputed IBD sharing as needed in Liang et al. ([2001b] Genet. Epidemiol. 21:105-122). We compare these two approaches by simulating data from a variety of two-locus models including heterogeneity, additive and multiplicative with either fully informative markers or non-fully informative markers. The performance of both approaches is quite comparable showing consistent estimates of the trait locus and key genetic parameters.

Original languageEnglish (US)
Pages (from-to)108-115
Number of pages8
JournalGenetic Epidemiology
Volume26
Issue number2
DOIs
StatePublished - Feb 2004

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Keywords

  • Affected sib pairs
  • Conditional analysis
  • Identity by descent
  • Two-locus models

ASJC Scopus subject areas

  • Genetics(clinical)
  • Epidemiology

Cite this

Conditional Multipoint Linkage Analysis Using Affected Sib Pairs : An Alternative Approach. / Chiu, Yen Feng; Liang, Kung Yee.

In: Genetic Epidemiology, Vol. 26, No. 2, 02.2004, p. 108-115.

Research output: Contribution to journalArticle

Chiu, Yen Feng ; Liang, Kung Yee. / Conditional Multipoint Linkage Analysis Using Affected Sib Pairs : An Alternative Approach. In: Genetic Epidemiology. 2004 ; Vol. 26, No. 2. pp. 108-115.
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