Literature DB >> 9097092

Likelihood-based models for genetic linkage analysis using affected sib pairs.

J M Olson1.   

Abstract

Risch [Am J Hum Genet 1990; 46:229-253] recently developed a likelihood method for testing genetic linkage using affected sib pairs. This paper proposes a reparameterization of the Risch likelihood in terms of genetic variance components divided by the affected-sib-pair ascertainment probability. The new parameters allow for ease of interpretation, particularly for multilocus models. A single-degree-of-freedom test of the total disease genetic effect at a marker locus can be constructed that has power comparable to the likelihood ratio 'triangle' test. Extension of the models to other types of relative pairs is also discussed. The models may be used in genome scanning and in studying single or multilocus models of inheritance.

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Year:  1997        PMID: 9097092     DOI: 10.1159/000154398

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  6 in total

1.  A general conditional-logistic model for affected-relative-pair linkage studies.

Authors:  J M Olson
Journal:  Am J Hum Genet       Date:  1999-12       Impact factor: 11.025

2.  Multilocus linkage tests based on affected relative pairs.

Authors:  H J Cordell; G C Wedig; K B Jacobs; R C Elston
Journal:  Am J Hum Genet       Date:  2000-03-21       Impact factor: 11.025

3.  Parametric and nonparametric multipoint linkage analysis with imprinting and two-locus-trait models: application to mite sensitization.

Authors:  K Strauch; R Fimmers; T Kurz; K A Deichmann; T F Wienker; M P Baur
Journal:  Am J Hum Genet       Date:  2000-05-04       Impact factor: 11.025

Review 4.  Linkage analysis in the next-generation sequencing era.

Authors:  Joan E Bailey-Wilson; Alexander F Wilson
Journal:  Hum Hered       Date:  2011-12-23       Impact factor: 0.444

5.  Searching for epistasis and linkage heterogeneity by correlations of pedigree-specific linkage scores.

Authors:  Daniel J Schaid; Shannon K McDonnell; Erin E Carlson; Stephen N Thibodeau; Janet L Stanford; Elaine A Ostrander
Journal:  Genet Epidemiol       Date:  2008-07       Impact factor: 2.135

6.  The null distribution of likelihood-ratio statistics in the conditional-logistic linkage model.

Authors:  Yeunjoo E Song; Robert C Elston
Journal:  Front Genet       Date:  2013-11-19       Impact factor: 4.599

  6 in total

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