Literature DB >> 6956238

Power of the affected-sib-pair method to defect disease susceptibility loci of small effect: an application to multiple sclerosis.

B Suarez, D O'Rourke, P Van Eerdewegh.   

Abstract

The distribution of marker locus identity-by-descent scores in affected sib pairs provides a powerful tool for detecting the presence of a linked non-Mendelian disease susceptibility locus. This basic approach is here extended to include a trio of sibs. A special type of sib trio consisting of two affected and one unaffected sib is investigated. It is shown that compared to affected-sib-pairs, trios with the above configuration are less efficient in detecting the presence of a linked disease susceptibility locus. When the generalized two-allele single locus model is fitted to sib pairs affected with multiple sclerosis, an estimate of the recombination fraction of 0.21 between the putative disease susceptibility locus and the HLA complex is obtained. However, this transmission model is deemed inadequate since a recombination fraction this large is inconsistent with the variety of HLA associations observed at the population level.

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Year:  1982        PMID: 6956238     DOI: 10.1002/ajmg.1320120309

Source DB:  PubMed          Journal:  Am J Med Genet        ISSN: 0148-7299


  6 in total

1.  Power of sib-pair and sib-trio linkage analysis with assortative mating and multiple disease loci.

Authors:  W M Sribney; M Swift
Journal:  Am J Hum Genet       Date:  1992-10       Impact factor: 11.025

2.  The probabilistic determination of identity-by-descent sharing for pairs of relatives from pedigrees.

Authors:  C I Amos; D V Dawson; R C Elston
Journal:  Am J Hum Genet       Date:  1990-11       Impact factor: 11.025

3.  Primarily chronic progressive and relapsing/remitting multiple sclerosis: two immunogenetically distinct disease entities.

Authors:  O Olerup; J Hillert; S Fredrikson; T Olsson; S Kam-Hansen; E Möller; B Carlsson; J Wallin
Journal:  Proc Natl Acad Sci U S A       Date:  1989-09       Impact factor: 11.205

4.  Assessing the role of HLA-linked and unlinked determinants of disease.

Authors:  N Risch
Journal:  Am J Hum Genet       Date:  1987-01       Impact factor: 11.025

5.  Segregation analysis incorporating linkage markers. I. Single-locus models with an application to type I diabetes.

Authors:  N Risch
Journal:  Am J Hum Genet       Date:  1984-03       Impact factor: 11.025

6.  DNA markers associated with high versus low IQ: the IQ Quantitative Trait Loci (QTL) Project.

Authors:  R Plomin; G E McClearn; D L Smith; S Vignetti; M J Chorney; K Chorney; C P Venditti; S Kasarda; L A Thompson; D K Detterman
Journal:  Behav Genet       Date:  1994-03       Impact factor: 2.805

  6 in total

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