Literature DB >> 18428385

Use of LINKAGE programs for linkage analysis.

Marcy C Speer1.   

Abstract

Genetic linkage analysis remains a powerful tool for identifying regions of the genome that may harbor suceptibility loci. This unit describes the traditional approach of calculating two-point and multipoint lod scores when the underlying genetic model is known. Components of the genetic model include whether a trait is dominant, recessive, or codominant, whether it is autosomal or sex linked, and whether there is mutation at the disease gene locus, as well as the disease and marker allele frequencies and the penetrance of the disease allele. The approach to genetic linkage analysis presented in this unit assumes that the markers are loosely spaced, so that there is no linkage disequilibrium between genetic markers. Practical examples and step-by-step guidelines are presented.

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Year:  2006        PMID: 18428385     DOI: 10.1002/0471142905.hg0107s48

Source DB:  PubMed          Journal:  Curr Protoc Hum Genet        ISSN: 1934-8258


  2 in total

1.  Ordered subset analysis identifies loci influencing lung cancer risk on chromosomes 6q and 12q.

Authors:  Shenying Fang; Susan M Pinney; Joan E Bailey-Wilson; Mariza A de Andrade; Yafang Li; Elena Kupert; Ming You; Ann G Schwartz; Ping Yang; Marshall W Anderson; Christopher I Amos
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-10-28       Impact factor: 4.254

2.  A susceptibility locus on chromosome 6q greatly increases lung cancer risk among light and never smokers.

Authors:  Christopher I Amos; Susan M Pinney; Yafang Li; Elena Kupert; Juwon Lee; Mariza A de Andrade; Ping Yang; Ann G Schwartz; Pam R Fain; Adi Gazdar; John Minna; Jonathan S Wiest; Dong Zeng; Henry Rothschild; Diptasri Mandal; Ming You; Teresa Coons; Colette Gaba; Joan E Bailey-Wilson; Marshall W Anderson
Journal:  Cancer Res       Date:  2010-03-09       Impact factor: 12.701

  2 in total

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