Literature DB >> 2309706

Selecting pedigrees for linkage analysis of a quantitative trait: the expected number of informative meioses.

M Boehnke1, K H Omoto, J M Arduino.   

Abstract

With evidence of segregation at a major locus for a quantitative trait having been found, a logical next step is to select a subset of the pedigrees to include in a linkage study to map the major locus. Ideally this subset should include much of the linkage information in the sample but include only a fraction of the pedigrees. We previously described a strategy for selecting pedigrees for linkage analysis of a quantitative trait on the basis of a pedigree likelihood-ratio statistic. For quantitative traits controlled by a major locus with a rare dominant allele, the likelihood-ratio strategy extracted nearly all the information for linkage while typically requiring marker data on only about one-third of the pedigrees. Here, we describe a new strategy to select pedigrees for linkage analysis on the basis of the expected number of potentially informative meioses in each pedigree. We demonstrate that this informative-meioses strategy provides an efficient and more general means to select pedigrees for a linkage study of a quantitative trait.

Mesh:

Year:  1990        PMID: 2309706      PMCID: PMC1683636     

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


  10 in total

1.  Sequential tests for the detection of linkage.

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

2.  Simulation of pedigree genotypes by random walks.

Authors:  K Lange; S Matthysse
Journal:  Am J Hum Genet       Date:  1989-12       Impact factor: 11.025

3.  Programs for Pedigree Analysis: MENDEL, FISHER, and dGENE.

Authors:  K Lange; D Weeks; M Boehnke
Journal:  Genet Epidemiol       Date:  1988       Impact factor: 2.135

4.  Comparison of sequential and fixed-structure sampling of pedigrees in complex segregation analysis of a quantitative trait.

Authors:  M Boehnke; M R Young; P P Moll
Journal:  Am J Hum Genet       Date:  1988-09       Impact factor: 11.025

5.  Estimating the power of a proposed linkage study for a complex genetic trait.

Authors:  L M Ploughman; M Boehnke
Journal:  Am J Hum Genet       Date:  1989-04       Impact factor: 11.025

6.  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

7.  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

8.  Identifying pedigrees segregating at a major locus for a quantitative trait: an efficient strategy for linkage analysis.

Authors:  M Boehnke; P P Moll
Journal:  Am J Hum Genet       Date:  1989-02       Impact factor: 11.025

9.  Comparisons of different sampling designs for the determination of genetic transmission mechanisms in quantitative traits.

Authors:  T L Burns; P P Moll; M A Schork
Journal:  Am J Hum Genet       Date:  1984-09       Impact factor: 11.025

Review 10.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

  10 in total
  2 in total

1.  Sample-size guidelines for linkage analysis of a dominant locus for a quantitative trait by the method of lod scores.

Authors:  M Boehnke
Journal:  Am J Hum Genet       Date:  1990-08       Impact factor: 11.025

2.  Power of pedigree likelihood analysis in extended pedigrees to classify rare variants of uncertain significance in cancer risk genes.

Authors:  Elisabeth A Rosenthal; John Michael O Ranola; Brian H Shirts
Journal:  Fam Cancer       Date:  2017-10       Impact factor: 2.375

  2 in total

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