Literature DB >> 17973338

Using genetic markers in unpedigreed populations to detect a heritable trait.

Ken G Dodds1, Peter R Amer, Benoît Auvray.   

Abstract

Before a breeder invests selection pressure on a trait of interest, it needs to be established whether that trait is actually heritable. Some traits may not have been measured widely in pedigreed populations, for example, a disease or deformity may become more prevalent than previously, but is still relatively rare. One approach to detect inheritance would be to screen a commercial population to obtain a sample of "affecteds" (the test group) and to also obtain a random control group. These individuals are then genotyped with a set of genetic markers and the relationships between individuals within each group estimated. If the relatedness is higher in the test group than in the control group, this provides initial evidence for the trait being heritable. A power simulation shows that this approach is feasible with moderate resources.

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Year:  2007        PMID: 17973338      PMCID: PMC2064948          DOI: 10.1631/jzus.2007.B0782

Source DB:  PubMed          Journal:  J Zhejiang Univ Sci B        ISSN: 1673-1581            Impact factor:   3.066


  10 in total

1.  A comparison of microsatellite-based pairwise relatedness estimators.

Authors:  T Van de Casteele; P Galbusera; E Matthysen
Journal:  Mol Ecol       Date:  2001-06       Impact factor: 6.185

2.  An estimator for pairwise relatedness using molecular markers.

Authors:  Jinliang Wang
Journal:  Genetics       Date:  2002-03       Impact factor: 4.562

3.  Maximum-likelihood estimation of relatedness.

Authors:  Brook G Milligan
Journal:  Genetics       Date:  2003-03       Impact factor: 4.562

4.  Sibship reconstruction in hierarchical population structures using Markov chain Monte Carlo techniques.

Authors:  Stuart C Thomas; William G Hill
Journal:  Genet Res       Date:  2002-06       Impact factor: 1.588

Review 5.  The estimation of genetic relationships using molecular markers and their efficiency in estimating heritability in natural populations.

Authors:  Stuart C Thomas
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

6.  Testing marker-based estimates of heritability in the wild.

Authors:  David W Coltman
Journal:  Mol Ecol       Date:  2005-07       Impact factor: 6.185

7.  Estimating relatedness between individuals in general populations with a focus on their use in conservation programs.

Authors:  Pieter A Oliehoek; Jack J Windig; Johan A M van Arendonk; Piter Bijma
Journal:  Genetics       Date:  2006-03-01       Impact factor: 4.562

8.  ESTIMATING RELATEDNESS USING GENETIC MARKERS.

Authors:  David C Queller; Keith F Goodnight
Journal:  Evolution       Date:  1989-03       Impact factor: 3.694

Review 9.  Genetic relatedness analysis: modern data and new challenges.

Authors:  Bruce S Weir; Amy D Anderson; Amanda B Hepler
Journal:  Nat Rev Genet       Date:  2006-10       Impact factor: 53.242

Review 10.  A tutorial on statistical methods for population association studies.

Authors:  David J Balding
Journal:  Nat Rev Genet       Date:  2006-10       Impact factor: 53.242

  10 in total
  1 in total

1.  Whole population, genome-wide mapping of hidden relatedness.

Authors:  Alexander Gusev; Jennifer K Lowe; Markus Stoffel; Mark J Daly; David Altshuler; Jan L Breslow; Jeffrey M Friedman; Itsik Pe'er
Journal:  Genome Res       Date:  2008-10-29       Impact factor: 9.043

  1 in total

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