Literature DB >> 6608876

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

N Risch.   

Abstract

A method is described for segregation analysis that incorporates linkage markers. The model allows for segregation (penetrance), linkage (recombination fraction), and association (linkage disequilibrium) parameters. A single-locus-multiple-allele model underlying the trait phenotype is assumed. When families have been ascertained in a systematic fashion, a joint (markers, phenotypes) likelihood with ascertainment is advocated. When ascertainment correction is not feasible, a conditional (markers given phenotypes) approach is recommended, which is also valid in the presence of reduced fertility and assortative mating. This approach, oriented toward determining mode of inheritance, differs from conventional linkage analysis, which is oriented toward detection of linkage. Therefore, it is more appropriately considered an extension of the affected sib-pair method to arbitrary pedigrees, including association information and allowing for multiple alleles. Incorporation of coupling parameters allows for discrimination between pleiotropy and linkage disequilibrium. The method is demonstrated through a reanalysis of four recently published family studies on type 1 diabetes and HLA. Recessive inheritance is rejected in all four data sets. For three of them, dominant inheritance is not rejected, while in the fourth, all two-allele models are rejected in favor of three alleles. Although association with the DR3 and DR4 alleles is quite strong, pleiotropy with regard to these alleles is unlikely. The results also suggest an additional familial factor(s) (e.g., locus).

Entities:  

Mesh:

Substances:

Year:  1984        PMID: 6608876      PMCID: PMC1684434     

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


  40 in total

1.  On estimating the relation between blood group and disease.

Authors:  B WOOLF
Journal:  Ann Hum Genet       Date:  1955-06       Impact factor: 1.670

2.  Genetic tests under incomplete ascertainment.

Authors:  N E MORTON
Journal:  Am J Hum Genet       Date:  1959-03       Impact factor: 11.025

3.  The histocompatibility system in juvenile, insulin-dependent diabetic multiplex kindreds.

Authors:  J Barbosa; R King; H Noreen; E J Yunis
Journal:  J Clin Invest       Date:  1977-11       Impact factor: 14.808

4.  Estimation of the recombination fraction in human pedigrees: efficient computation of the likelihood for human linkage studies.

Authors:  J Ott
Journal:  Am J Hum Genet       Date:  1974-09       Impact factor: 11.025

5.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

6.  HLA haplotype study of 53 juvenile insulin-dependent diabetic (I.D.D.) families.

Authors:  L Contu; I Deschamps; H Lestradet; J Hors; M Schmid; M Busson; A Benajam; A Marcelli-Barge; J Dausset
Journal:  Tissue Antigens       Date:  1982-08

7.  On estimating recessive frequencies from truncated samples.

Authors:  A Berger; R Z Gold
Journal:  Biometrics       Date:  1967-06       Impact factor: 2.571

8.  A general model for disease-marker association.

Authors:  N Risch
Journal:  Ann Hum Genet       Date:  1983-07       Impact factor: 1.670

9.  Type I (insulin dependent) diabetes mellitus. Is there strong evidence for a non-HLA linked gene?

Authors:  B K Suarez; P Van Eerdewegh
Journal:  Diabetologia       Date:  1981-05       Impact factor: 10.122

10.  The search for heterogeneity in insulin-dependent diabetes mellitus: evidence for familial and nonfamilial forms.

Authors:  D A Greenberg; C E Anderson
Journal:  Am J Med Genet       Date:  1983-03
View more
  26 in total

1.  Power comparison of parametric and nonparametric linkage tests in small pedigrees.

Authors:  P C Sham; M W Lin; J H Zhao; D Curtis
Journal:  Am J Hum Genet       Date:  2000-04-11       Impact factor: 11.025

2.  Parametric and nonparametric multipoint linkage analysis with imprinting and two-locus-trait models: application to mite sensitization.

Authors:  K Strauch; R Fimmers; T Kurz; K A Deichmann; T F Wienker; M P Baur
Journal:  Am J Hum Genet       Date:  2000-05-04       Impact factor: 11.025

3.  A Monte Carlo method for combined segregation and linkage analysis.

Authors:  S W Guo; E A Thompson
Journal:  Am J Hum Genet       Date:  1992-11       Impact factor: 11.025

4.  Computationally efficient multipoint linkage analysis on extended pedigrees for trait models with two contributing major Loci.

Authors:  Ming Su; Elizabeth A Thompson
Journal:  Genet Epidemiol       Date:  2012-06-27       Impact factor: 2.135

5.  DRB genotyping supports recessive inheritance of DR3-associated susceptibility to insulin-dependent diabetes mellitus.

Authors:  D Jenkins; J Fletcher; M A Penny; C H Mijovic; K H Jacobs; A R Bradwell; A H Barnett
Journal:  Am J Hum Genet       Date:  1991-07       Impact factor: 11.025

6.  Numerical comparison between powers of maximum likelihood and analysis of variance methods for QTL detection in progeny test designs: the case of monogenic inheritance.

Authors:  P Le Roy; J M Elsen
Journal:  Theor Appl Genet       Date:  1995-01       Impact factor: 5.699

7.  The problem of ascertainment for linkage analysis.

Authors:  V J Vieland; S E Hodge
Journal:  Am J Hum Genet       Date:  1996-05       Impact factor: 11.025

8.  Variable age at onset in insulin-dependent diabetes mellitus, by the marker-association-segregation-chi 2 method.

Authors:  N Bonneuil; A Clerget; F Clerget-Darpoux
Journal:  Am J Hum Genet       Date:  1997-07       Impact factor: 11.025

9.  Estimation of segregation and linkage parameters in simulated data. II. Simultaneous estimation with one linked marker.

Authors:  R A Price; P L Kramer; D L Pauls; K K Kidd
Journal:  Am J Hum Genet       Date:  1989-07       Impact factor: 11.025

10.  Genetic linkage analysis in familial breast and ovarian cancer: results from 214 families. The Breast Cancer Linkage Consortium.

Authors:  D F Easton; D T Bishop; D Ford; G P Crockford
Journal:  Am J Hum Genet       Date:  1993-04       Impact factor: 11.025

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.