Literature DB >> 9129957

Affected sibpair linkage tests for multiple linked susceptibility genes.

M Farrall1.   

Abstract

Genome-wide searches for susceptibility genes using pairs of affected siblings are being undertaken to dissect out individual polygenes that contribute to human multifactorial disease. Efficient identity-by-descent (IBD)-based sibpair linkage tests are available that test individual markers or maps of linked markers for linkage to a single putative susceptibility gene. In order to assess the support for linkage to a second putative susceptibility gene that happens to map close to an established susceptibility gene, it is necessary to use a method that correctly allows for the IBD distortion that directly results from the linkage between the two genes. A maximum likelihood-based, multilocus linkage test is proposed, which accounts for this interdependency and evaluates the support for an interaction between constituent susceptibility genes. The size and power of a test for a second linked susceptibility gene is investigated by simulation studies.

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Year:  1997        PMID: 9129957     DOI: 10.1002/(SICI)1098-2272(1997)14:2<103::AID-GEPI1>3.0.CO;2-8

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  15 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

4.  Genomewide screen and identification of gene-gene interactions for asthma-susceptibility loci in three U.S. populations: collaborative study on the genetics of asthma.

Authors:  J Xu; D A Meyers; C Ober; M N Blumenthal; B Mellen; K C Barnes; R A King; L A Lester; T D Howard; J Solway; C D Langefeld; T H Beaty; S S Rich; E R Bleecker; N J Cox
Journal:  Am J Hum Genet       Date:  2001-05-10       Impact factor: 11.025

5.  Reports of the death of the epistasis model are greatly exaggerated.

Authors:  Martin Farrall
Journal:  Am J Hum Genet       Date:  2003-12       Impact factor: 11.025

6.  Affected-sib-pair data can be used to distinguish two-locus heterogeneity from two-locus epistasis.

Authors:  Heather J Cordell
Journal:  Am J Hum Genet       Date:  2003-12       Impact factor: 11.025

7.  Novel analytical methods applied to type 1 diabetes genome-scan data.

Authors:  Flemming Pociot; Allan E Karlsen; Claus B Pedersen; Mogens Aalund; Jørn Nerup
Journal:  Am J Hum Genet       Date:  2004-03-11       Impact factor: 11.025

Review 8.  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

9.  Multilocus linkage analysis of affected sib pairs.

Authors:  Iuliana Ionita; Shaw-Hwa Lo
Journal:  Hum Hered       Date:  2006-01-17       Impact factor: 0.444

10.  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

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