Literature DB >> 3468804

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

N Risch.   

Abstract

The relationship between increased risk in relatives over population prevalence (lambda R = KR/K) and probability of sharing zero marker alleles identical by descent (ibd) at a linked locus (such as HLA) by an affected relative pair is examined. For a model assuming a single disease-susceptibility locus or group of loci tightly linked to a marker locus, the relationship is remarkably simple and general. Namely, if phi R is the prior probability for the relative pair to share zero marker alleles identical by descent, then P (sharing 0 markers/both relatives are affected) is just phi R/lambda R. Alternatively, lambda AR, the increased risk over population prevalence to a relative R due to a disease locus tightly linked to marker locus A, equals the prior probability that the relative pair share zero A alleles ibd divided by the posterior probability that they share zero alleles ibd, given that they are both affected. For example, for affected sib pairs, P (sharing 0 markers/both sibs are affected) = .25/lambda S. This formula holds true for any number of alleles at the disease locus and for their frequencies, penetrances, and population prevalence. Similar formulas are derived for sharing one and two markers. Application of these formulas to several well-studied HLA-associated diseases yields the following results: For multiple sclerosis, insulin-dependent diabetes mellitus, and coeliac disease, a single-locus model of disease susceptibility is rejected, implying the existence of additional unlinked familial determinants. For all three diseases, the effect of the HLA-linked locus on familiality is minor: for multiple sclerosis, it accounts for only a 2.5-fold increased risk to sibs over the population prevalence, compared to an observed value of 20; for coeliac disease, it accounts for approximately a 5.25-fold increased risk to sibs, while the observed value is on the order of 60; for insulin-dependent diabetes mellitus, it accounts for a 3.42-fold increased risk in sibs, while the observed value is 15. In all cases, the secondary determinants must be outside the HLA region. For tuberculoid leprosy, an unlinked familial determinant is also implicated (increased risk to sibs due to HLA = 1.49; observed value = 2.38). For hemochromatosis and Hodgkin's disease, there is little evidence for HLA-unlinked familial determinants. With this formula, it is also possible to examine the hypothesis of pleiotropy versus linkage dis-equilibrium by comparing lambda AS with the increased risk to sibs due to the associated allele(s).(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1987        PMID: 3468804      PMCID: PMC1684002     

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  28 in total

1.  Genetic analysis of idiopathic hemochromatosis using both qualitative (disease status) and quantitative (serum iron) information.

Authors:  J M Lalouel; L Le Mignon; M Simon; R Fauchet; M Bourel; D C Rao; N E Morton
Journal:  Am J Hum Genet       Date:  1985-07       Impact factor: 11.025

2.  Frequency in relatives for an all-or-none trait.

Authors:  J W James
Journal:  Ann Hum Genet       Date:  1971-07       Impact factor: 1.670

3.  Some epistatic two-locus models of disease. I. Relative risks and identity-by-descent distributions in affected sib pairs.

Authors:  S E Hodge
Journal:  Am J Hum Genet       Date:  1981-05       Impact factor: 11.025

4.  HLA family studies and multiple sclerosis: A common gene, dominantly expressed.

Authors:  G J Stewart; J G McLeod; A Basten; H V Bashir
Journal:  Hum Immunol       Date:  1981-08       Impact factor: 2.850

5.  A two locus model for juvenile diabetes.

Authors:  G Thomson
Journal:  Ann Hum Genet       Date:  1980-05       Impact factor: 1.670

6.  Linkage analysis between the major histocompatibility system and insulin-dependent diabetes in families with patients in two consecutive generations.

Authors:  J Barbosa; M M Chern; V E Anderson; H Noreen; S Johnson; N Reinsmoen; R McCarty; R King; L Greenberg
Journal:  J Clin Invest       Date:  1980-03       Impact factor: 14.808

7.  A three-allele model for heterogeneity of juvenile onset insulin-dependent diabetes.

Authors:  S E Hodge; J I Rotter; K L Lange
Journal:  Ann Hum Genet       Date:  1980-05       Impact factor: 1.670

8.  HLA genotype distribution and genetic models of insulin-dependent diabetes mellitus.

Authors:  A Svejgaard; L P Ryder
Journal:  Ann Hum Genet       Date:  1981-07       Impact factor: 1.670

9.  Genetic linkage between hereditary hemochromatosis and HLA.

Authors:  K Kravitz; M Skolnick; C Cannings; D Carmelli; B Baty; B Amos; A Johnson; N Mendell; C Edwards; G Cartwright
Journal:  Am J Hum Genet       Date:  1979-09       Impact factor: 11.025

10.  Application of the lod score method to detection of linkage between HLA and juvenile insulin-dependent diabetes.

Authors:  F Clerget-Darpoux; C Bonaiti-Pellie; J Hors; I Deschamps; N Feingold
Journal:  Clin Genet       Date:  1980-07       Impact factor: 4.438

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  121 in total

1.  The relationship between the sibling recurrence-risk ratio and genotype relative risk.

Authors:  B A Rybicki; R C Elston
Journal:  Am J Hum Genet       Date:  2000-02       Impact factor: 11.025

2.  Genomewide linkage analysis of celiac disease in Finnish families.

Authors:  Jianjun Liu; Suh-Hang Juo; Päivi Holopainen; Joseph Terwilliger; Xiaomei Tong; Adina Grunn; Miguel Brito; Peter Green; Kirsi Mustalahti; Markku Mäki; T Conrad Gilliam; Jukka Partanen
Journal:  Am J Hum Genet       Date:  2001-11-19       Impact factor: 11.025

3.  Seven regions of the genome show evidence of linkage to type 1 diabetes in a consensus analysis of 767 multiplex families.

Authors:  N J Cox; B Wapelhorst; V A Morrison; L Johnson; L Pinchuk; R S Spielman; J A Todd; P Concannon
Journal:  Am J Hum Genet       Date:  2001-08-15       Impact factor: 11.025

Review 4.  Genetic factors underlying gluten-sensitive enteropathy.

Authors:  A S Peña; C Wijmenga
Journal:  Curr Allergy Asthma Rep       Date:  2001-11       Impact factor: 4.806

5.  Interplay between genetics and the environment in the development of celiac disease: perspectives for a healthy life.

Authors:  G K Papadopoulos; C Wijmenga; F Koning
Journal:  J Clin Invest       Date:  2001-11       Impact factor: 14.808

6.  Quantification of the genetic component in multi-factorial autoimmune endocrinopathies.

Authors:  R Buzzetti
Journal:  J Endocrinol Invest       Date:  2002-10       Impact factor: 4.256

Review 7.  Molecular aspects of type 1 diabetes.

Authors:  M A Kelly; M L Rayner; C H Mijovic; A H Barnett
Journal:  Mol Pathol       Date:  2003-02

Review 8.  The immunogenetics of rheumatoid arthritis.

Authors:  B P Wordsworth; J I Bell
Journal:  Springer Semin Immunopathol       Date:  1992

Review 9.  Genetic analysis of susceptibility to type 1 diabetes.

Authors:  J A Todd
Journal:  Springer Semin Immunopathol       Date:  1992

10.  Biomarkers for type 1 diabetes.

Authors:  Sharad Purohit; Jin-Xiong She
Journal:  Int J Clin Exp Med       Date:  2008-02-29
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