Literature DB >> 3865624

The affected sib method. IV. Sib trios.

H Payami, G Thomson, U Motro, E J Louis, E Hudes.   

Abstract

The classical sib pair method uses the expected and observed HLA (human leukocyte antigen) haplotype sharing distribution in sib pairs, who are affected with an HLA associated disease, to make inferences about the inheritance of the disease. In this paper we present the expected HLA haplotype sharing distributions in affected sib trios, and sib pairs, from families with three or more affected sibs. The underlying model for both distributions, as for the classical sib pair method, is that disease predisposition is determined by a single allele at an HLA-linked locus. The sib trio tests of hypotheses (additive and recessive), and disease parameter estimates (additive, recessive and intermediate), can be compared with those obtained from the classical sib pair analysis. In addition, the sib trio data allow parameter estimation for a general disease model to be made, if the data fall within the bounds of the expectation. This study forms the basis of later investigations which show that haplotype sharing of affected sib trios for two susceptibility alleles (negative complementation) model, which appears appropriate for insulin dependent diabetes mellitus (IDDM), moves outside the bound of the single susceptibility expectations outlined here, whereas haplotype sharing values for sib pairs are bound by the single susceptibility allele expectations. Available Caucasian IDDM data have been analysed. The results support genetic heterogeneity of IDDM.

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Year:  1985        PMID: 3865624     DOI: 10.1111/j.1469-1809.1985.tb01706.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  14 in total

1.  Linkage strategies for genetically complex traits. II. The power of affected relative pairs.

Authors:  N Risch
Journal:  Am J Hum Genet       Date:  1990-02       Impact factor: 11.025

2.  Trials of the beta model for complex inheritance.

Authors:  A Collins; C J MacLean; N E Morton
Journal:  Proc Natl Acad Sci U S A       Date:  1996-08-20       Impact factor: 11.205

3.  Linkage of rheumatoid arthritis to the candidate gene NRAMP1 on 2q35.

Authors:  M A Shaw; D Clayton; S E Atkinson; H Williams; N Miller; D Sibthorpe; J M Blackwell
Journal:  J Med Genet       Date:  1996-08       Impact factor: 6.318

4.  Linkage and association of the HLA gene complex with IDDM in 81 Danish families: strong linkage between DR beta 1Lys71+ and IDDM.

Authors:  M Zamani; F Pociot; M Spaepen; P Raeymaekers; J Nerup; J J Cassiman
Journal:  J Med Genet       Date:  1996-11       Impact factor: 6.318

5.  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

6.  Asymptotic properties of affected-sib-pair linkage analysis.

Authors:  P Holmans
Journal:  Am J Hum Genet       Date:  1993-02       Impact factor: 11.025

7.  Susceptibility to multiple sclerosis and the immunoglobulin heavy chain variable region.

Authors:  N W Wood; S J Sawcer; H F Kellar-Wood; P Holmans; D Clayton; N Robertson; D A Compston
Journal:  J Neurol       Date:  1995-10       Impact factor: 4.849

Review 8.  Multiple sclerosis: it epidemiological, genetic, and health care impact.

Authors:  R Williams; A S Rigby; M Airey; M Robinson; H Ford
Journal:  J Epidemiol Community Health       Date:  1995-12       Impact factor: 3.710

Review 9.  Genetics of the HLA region in the prediction of type 1 diabetes.

Authors:  Janelle A Noble; Ana M Valdes
Journal:  Curr Diab Rep       Date:  2011-12       Impact factor: 4.810

10.  Analysis of genetic interrelationship among HLA-associated diseases.

Authors:  H Payami; M H Khan; D M Grennan; P A Sanders; P A Dyer; G Thomson
Journal:  Am J Hum Genet       Date:  1987-09       Impact factor: 11.025

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