Literature DB >> 367641

A simple method to detect linkage for rare recessive diseases: an application to juvenile diabetes.

B K Suarez, S E Hodge.   

Abstract

A simple procedure designed specifically to detect linkage for rare recessive diseases is described. The method uses information on identity by descent scores for a pair of sibs at a marker locus conditioned on the number of affected sibs in the pair. A procedure for estimating the recombination fraction is described, and a table facilitating the likelihood ratio test of linkage is provided. The method, when applied to a collection of multiplex families segregating for juvenile diabetes mellitus, suggests the possibility that this disease is linked to the HLA complex. The method is found to compare favorably to the maximum likelihood approach, for which the computer program LIPED gives a maximum lod score of 2.48 at a male and female recombination fraction of theta = 0.20.

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Year:  1979        PMID: 367641     DOI: 10.1111/j.1399-0004.1979.tb01751.x

Source DB:  PubMed          Journal:  Clin Genet        ISSN: 0009-9163            Impact factor:   4.438


  30 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  1999-07-20       Impact factor: 11.205

2.  Linkage analysis in the presence of errors IV: joint pseudomarker analysis of linkage and/or linkage disequilibrium on a mixture of pedigrees and singletons when the mode of inheritance cannot be accurately specified.

Authors:  H H Göring; J D Terwilliger
Journal:  Am J Hum Genet       Date:  2000-03-23       Impact factor: 11.025

3.  A survey of affected-sibship statistics for nonparametric linkage analysis.

Authors:  H Sengul; D E Weeks; E Feingold
Journal:  Am J Hum Genet       Date:  2001-06-11       Impact factor: 11.025

4.  Genome-wide scan linkage analysis for Parkinson's disease: the European genetic study of Parkinson's disease.

Authors:  M Martinez; A Brice; J R Vaughan; A Zimprich; M M B Breteler; G Meco; A Filla; M J Farrer; C Bétard; J Hardy; G De Michele; V Bonifati; B Oostra; T Gasser; N W Wood; A Dürr
Journal:  J Med Genet       Date:  2004-12       Impact factor: 6.318

Review 5.  A multilocus extension of the affected-pedigree-member method of linkage analysis.

Authors:  D E Weeks; K Lange
Journal:  Am J Hum Genet       Date:  1992-04       Impact factor: 11.025

6.  Exact trait-model-free tests for linkage detection in pedigrees.

Authors:  S Basu; Y Di; E A Thompson
Journal:  Ann Hum Genet       Date:  2008-05-28       Impact factor: 1.670

7.  The quantitative LOD score: test statistic and sample size for exclusion and linkage of quantitative traits in human sibships.

Authors:  G P Page; C I Amos; E Boerwinkle
Journal:  Am J Hum Genet       Date:  1998-04       Impact factor: 11.025

8.  Genomewide search in Canadian families with inflammatory bowel disease reveals two novel susceptibility loci.

Authors:  J D Rioux; M S Silverberg; M J Daly; A H Steinhart; R S McLeod; A M Griffiths; T Green; T S Brettin; V Stone; S B Bull; A Bitton; C N Williams; G R Greenberg; Z Cohen; E S Lander; T J Hudson; K A Siminovitch
Journal:  Am J Hum Genet       Date:  2000-04-21       Impact factor: 11.025

9.  Genomewide linkage study in 1,176 affected sister pair families identifies a significant susceptibility locus for endometriosis on chromosome 10q26.

Authors:  Susan A Treloar; Jacqueline Wicks; Dale R Nyholt; Grant W Montgomery; Melanie Bahlo; Vicki Smith; Gary Dawson; Ian J Mackay; Daniel E Weeks; Simon T Bennett; Alisoun Carey; Kelly R Ewen-White; David L Duffy; Daniel T O'connor; David H Barlow; Nicholas G Martin; Stephen H Kennedy
Journal:  Am J Hum Genet       Date:  2005-07-21       Impact factor: 11.025

10.  A large sample of finnish diabetic sib-pairs reveals no evidence for a non-insulin-dependent diabetes mellitus susceptibility locus at 2qter.

Authors:  S Ghosh; E R Hauser; V L Magnuson; T Valle; D S Ally; Z E Karanjawala; J B Rayman; J I Knapp; A Musick; J Tannenbaum; C Te; W Eldridge; S Shapiro; T Musick; C Martin; A So; A Witt; J B Harvan; R M Watanabe; W Hagopian; J Eriksson; S J Nylund; K Kohtamaki; E Tuomilehto-Wolf; M Boehnke
Journal:  J Clin Invest       Date:  1998-08-15       Impact factor: 14.808

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