Literature DB >> 3459352

Detecting linkage for genetically heterogeneous diseases and detecting heterogeneity with linkage data.

L L Cavalli-Sforza, M C King.   

Abstract

Interest in searching for genetic linkage between diseases and marker loci has been greatly increased by the recent introduction of DNA polymorphisms. However, even for the most well-behaved Mendelian disorders, those with clear-cut mode of inheritance, complete penetrance, and no phenocopies, genetic heterogeneity may exist; that is, in the population there may be more than one locus that can determine the disease, and these loci may not be linked. In such cases, two questions arise: (1) What sample size is necessary to detect linkage for a genetically heterogeneous disease? (2) What sample size is necessary to detect heterogeneity given linkage between a disease and a marker locus? We have answered these questions for the most important types of matings under specified conditions: linkage phase known or unknown, number of alleles involved in the cross at the marker locus, and different numbers of affected and unaffected children. In general, the presence of heterogeneity increases the recombination value at which lod scores peak, by an amount that increases with the degree of heterogeneity. There is a corresponding increase in the number of families necessary to establish linkage. For the specific case of backcrosses between disease and marker loci with two alleles, linkage can be detected at recombination fractions up to 20% with reasonable numbers of families, even if only half the families carry the disease locus linked to the marker. The task is easier if more than two informative children are available or if phase is known. For recessive diseases, highly polymorphic markers with four different alleles in the parents greatly reduce the number of families required.

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Year:  1986        PMID: 3459352      PMCID: PMC1684816     

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


  6 in total

1.  TESTING FOR HETEROGENEITY OF RECOMBINATION FRACTION VALUES IN HUMAN GENETICS.

Authors:  C A SMITH
Journal:  Ann Hum Genet       Date:  1963-11       Impact factor: 1.670

2.  Sequential tests for the detection of linkage.

Authors:  N E MORTON
Journal:  Am J Hum Genet       Date:  1955-09       Impact factor: 11.025

3.  Counting methods (EM algorithm) in human pedigree analysis: linkage and segregation analysis.

Authors:  J Ott
Journal:  Ann Hum Genet       Date:  1977-05       Impact factor: 1.670

4.  Linkage analysis and family classification under heterogeneity.

Authors:  J Ott
Journal:  Ann Hum Genet       Date:  1983-10       Impact factor: 1.670

5.  X-linkage and genetic heterogeneity in bipolar-related major affective illness: reanalysis of linkage data.

Authors:  N Risch; M Baron
Journal:  Ann Hum Genet       Date:  1982-05       Impact factor: 1.670

6.  The search for heterogeneity in insulin-dependent diabetes mellitus (IDDM): linkage studies, two-locus models, and genetic heterogeneity.

Authors:  S E Hodge; C E Anderson; K Neiswanger; R S Sparkes; D L Rimoin
Journal:  Am J Hum Genet       Date:  1983-11       Impact factor: 11.025

  6 in total
  20 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.  Inter- and intrafamilial heterogeneity: effective sampling strategies and comparison of analysis methods.

Authors:  M Durner; D A Greenberg; S E Hodge
Journal:  Am J Hum Genet       Date:  1992-10       Impact factor: 11.025

3.  Inheritance of human breast cancer: evidence for autosomal dominant transmission in high-risk families.

Authors:  B Newman; M A Austin; M Lee; M C King
Journal:  Proc Natl Acad Sci U S A       Date:  1988-05       Impact factor: 11.205

4.  A new test for linkage in the presence of locus heterogeneity.

Authors:  C J MacLean; L M Ploughman; S R Diehl; K S Kendler
Journal:  Am J Hum Genet       Date:  1992-06       Impact factor: 11.025

5.  Detection of linkage for heterogeneous disorders by using multipoint linkage analysis.

Authors:  M Martinez; L R Goldin
Journal:  Am J Hum Genet       Date:  1991-12       Impact factor: 11.025

6.  Sampling strategies for linkage studies.

Authors:  L R Goldin; M M Martinez; E S Gershon
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  1991       Impact factor: 5.270

7.  Assessing the statistical power to detect linkage in a sample of 51 bipolar affective disorder pedigrees.

Authors:  L C Lim; N Craddock; M Owen; P Sham; M M Nöthen; J Körner; M Rietschel; R Fimmer; P Propping; P McGuffin; R Murray; M Gill
Journal:  Behav Genet       Date:  1996-03       Impact factor: 2.805

8.  Linkage analysis of 49 high-risk families does not support a common familial prostate cancer-susceptibility gene at 1q24-25.

Authors:  R A McIndoe; J L Stanford; M Gibbs; G P Jarvik; S Brandzel; C L Neal; S Li; J T Gammack; A A Gay; E L Goode; L Hood; E A Ostrander
Journal:  Am J Hum Genet       Date:  1997-08       Impact factor: 11.025

9.  2020 William Allan Award address: genetics as a way of thinking-cultural inheritance from our teachers.

Authors:  Mary-Claire King
Journal:  Am J Hum Genet       Date:  2021-03-04       Impact factor: 11.025

10.  Strategies and sample-size considerations for mapping a two-locus autosomal recessive disorder.

Authors:  P P Majumder
Journal:  Am J Hum Genet       Date:  1989-09       Impact factor: 11.025

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