Literature DB >> 7972124

Sequential imputation for multilocus linkage analysis.

M Irwin1, N Cox, A Kong.   

Abstract

A Monte Carlo method called sequential imputation is proposed for multilocus likelihood computations. This method is most useful in mapping situations where the data consist of large pedigrees with substantial missing information and it is desirable to perform linkage analysis utilizing data from many polymorphic markers simultaneously. A pedigree example with 155 individuals, 9 loci, and 155,520 haplotypes is used for illustration.

Mesh：

Year:  1994        PMID： 7972124      PMCID： PMC45296          DOI： 10.1073/pnas.91.24.11684

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN： 0027-8424            Impact factor:   11.205


  14 in total

1.  Extensions to pedigree analysis I. Likehood calculations for simple and complex pedigrees.

Authors:  K Lange; R C Elston
Journal:  Hum Hered       Date:  1975       Impact factor: 0.444

Review 2.  A random walk method for computing genetic location scores.

Authors:  K Lange; E Sobel
Journal:  Am J Hum Genet       Date:  1991-12       Impact factor: 11.025

3.  Efficient methods for computing linkage likelihoods of recessive diseases in inbred pedigrees.

Authors:  A Kong
Journal:  Genet Epidemiol       Date:  1991       Impact factor: 2.135

4.  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

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.  Extensions to pedigree analysis. V. Optimal calculation of Mendelian likelihoods.

Authors:  K Lange; M Boehnke
Journal:  Hum Hered       Date:  1983       Impact factor: 0.444

7.  Construction of multilocus genetic linkage maps in humans.

Authors:  E S Lander; P Green
Journal:  Proc Natl Acad Sci U S A       Date:  1987-04       Impact factor: 11.205

8.  Computer-simulation methods in human linkage analysis.

Authors:  J Ott
Journal:  Proc Natl Acad Sci U S A       Date:  1989-06       Impact factor: 11.205

9.  Strategies for multilocus linkage analysis in humans.

Authors:  G M Lathrop; J M Lalouel; C Julier; J Ott
Journal:  Proc Natl Acad Sci U S A       Date:  1984-06       Impact factor: 11.205

10.  Genetic linkage evidence for a familial Alzheimer's disease locus on chromosome 14.

Authors:  G D Schellenberg; T D Bird; E M Wijsman; H T Orr; L Anderson; E Nemens; J A White; L Bonnycastle; J L Weber; M E Alonso
Journal:  Science       Date:  1992-10-23       Impact factor: 47.728
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  5 in total

1.  Blocking Gibbs sampling for linkage analysis in large pedigrees with many loops.

Authors:  C S Jensen; A Kong
Journal:  Am J Hum Genet       Date:  1999-09       Impact factor: 11.025

2.  Multiple subsampling of dense SNP data localizes disease genes with increased precision.

Authors:  William C L Stewart; Anna L Peljto; David A Greenberg
Journal:  Hum Hered       Date:  2009-12-18       Impact factor: 0.444

3.  Identification of a locus on chromosome 1q44 for familial cold urticaria.

Authors:  H M Hoffman; F A Wright; D H Broide; A A Wanderer; R D Kolodner
Journal:  Am J Hum Genet       Date:  2000-03-30       Impact factor: 11.025

Review 4.  Haplotyping methods for pedigrees.

Authors:  Guimin Gao; David B Allison; Ina Hoeschele
Journal:  Hum Hered       Date:  2009-01-27       Impact factor: 0.444

5.  Confirmation of the type 2 myotonic dystrophy (CCTG)n expansion mutation in patients with proximal myotonic myopathy/proximal myotonic dystrophy of different European origins: a single shared haplotype indicates an ancestral founder effect.

Authors:  Linda L Bachinski; Bjarne Udd; Giovanni Meola; Valeria Sansone; Guillaume Bassez; Bruno Eymard; Charles A Thornton; Richard T Moxley; Peter S Harper; Mark T Rogers; Karin Jurkat-Rott; Frank Lehmann-Horn; Thomas Wieser; Josep Gamez; Carmen Navarro; Armand Bottani; Andre Kohler; Mark D Shriver; Riitta Sallinen; Maija Wessman; Shanxiang Zhang; Fred A Wright; Ralf Krahe
Journal:  Am J Hum Genet       Date:  2003-09-10       Impact factor: 11.025
  5 in total

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