Literature DB >> 24190198

An efficient algorithm to compute the posterior genotypic distribution for every member of a pedigree without loops.

R L Fernando1, C Stricker, R C Elston.   

Abstract

This paper describes a non-iterative, recursive method to compute the likelihood for a pedigree without loops, and hence an efficient way to compute genotype probabilities for every member of the pedigree. The method can be used with multiple mates and large sibships. Scaling is used in calculations to avoid numerical problems in working with large pedigrees.

Year:  1993        PMID: 24190198     DOI: 10.1007/BF00223750

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  7 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

2.  Fast computation of genetic likelihoods on human pedigree data.

Authors:  T M Goradia; K Lange; P L Miller; P M Nadkarni
Journal:  Hum Hered       Date:  1992       Impact factor: 0.444

3.  Method to estimate genotype probabilities at individual loci in farm livestock.

Authors:  J A van Arendonk; C Smith; B W Kennedy
Journal:  Theor Appl Genet       Date:  1989-11       Impact factor: 5.699

4.  PEDIG--a computer program for calculation of genotype probabilities using phenotype information.

Authors:  I Heuch; F H Li
Journal:  Clin Genet       Date:  1972       Impact factor: 4.438

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.  Probability calculations in pedigrees under complex modes of inheritance.

Authors:  J M Lalouel
Journal:  Hum Hered       Date:  1980       Impact factor: 0.444

  7 in total
  18 in total

1.  The use of family relationships and linkage disequilibrium to impute phase and missing genotypes in up to whole-genome sequence density genotypic data.

Authors:  Theo Meuwissen; Mike Goddard
Journal:  Genetics       Date:  2010-05-17       Impact factor: 4.562

2.  Genomic-assisted prediction of genetic value with semiparametric procedures.

Authors:  Daniel Gianola; Rohan L Fernando; Alessandra Stella
Journal:  Genetics       Date:  2006-04-28       Impact factor: 4.562

3.  An approximation to the likelihood for a pedigree with loops.

Authors:  T Wang; R L Fernando; C Stricker; R C Elston
Journal:  Theor Appl Genet       Date:  1996-12       Impact factor: 5.699

4.  An algorithm to approximate the likelihood for pedigree data with loops by cutting.

Authors:  C Stricker; R L Fernando; R C Elston
Journal:  Theor Appl Genet       Date:  1995-11       Impact factor: 5.699

5.  The finite polygenic mixed model: An alternative formulation for the mixed model of inheritance.

Authors:  R L Fernando; C Stricker; R C Elston
Journal:  Theor Appl Genet       Date:  1994-07       Impact factor: 5.699

6.  Reproducing kernel hilbert spaces regression methods for genomic assisted prediction of quantitative traits.

Authors:  Daniel Gianola; Johannes B C H M van Kaam
Journal:  Genetics       Date:  2008-04       Impact factor: 4.562

7.  Bayesian Semiparametric Estimation of Cancer-specific Age-at-onset Penetrance with Application to Li-Fraumeni Syndrome.

Authors:  Seung Jun Shin; Ying Yuan; Louise C Strong; Jasmina Bojadzieva; Wenyi Wang
Journal:  J Am Stat Assoc       Date:  2018-08-15       Impact factor: 5.033

8.  Practical implementation of frailty models in Mendelian risk prediction.

Authors:  Theodore Huang; Malka Gorfine; Li Hsu; Giovanni Parmigiani; Danielle Braun
Journal:  Genet Epidemiol       Date:  2020-06-07       Impact factor: 2.135

9.  Prediction of haplotypes for ungenotyped animals and its effect on marker-assisted breeding value estimation.

Authors:  Han A Mulder; Mario P L Calus; Roel F Veerkamp
Journal:  Genet Sel Evol       Date:  2010-03-22       Impact factor: 4.297

10.  An efficient algorithm to compute marginal posterior genotype probabilities for every member of a pedigree with loops.

Authors:  Liviu R Totir; Rohan L Fernando; Joseph Abraham
Journal:  Genet Sel Evol       Date:  2009-12-03       Impact factor: 4.297

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