Literature DB >> 11986874

Inbreeding and relatedness coefficients: what do they measure?

F Rousset1.   

Abstract

This paper reviews and discusses what is known about the relationship between identity in state, allele frequency, inbreeding coefficients, and identity by descent in various uses of these terms. Generic definitions of inbreeding coefficients are given, as ratios of differences of probabilities of identity in state. Then some of their properties are derived from an assumption in terms of differences between distributions of coalescence times of different genes. These inbreeding coefficients give an approximate measurement of how much higher the probability of recent coalescence is for some pair of genes relative to another pair. Such a measure is in general not equivalent to identity by descent; rather, it approximates a ratio of differences of probabilities of identity by descent. These results are contrasted with some other formulas relating identity, allele frequency, and inbreeding coefficients. Additional assumptions are necessary to obtain most of them, and some of these assumptions are not always correct, for example when there is localized dispersal. Therefore, definitions based on such formulas are not always well-formulated. By contrast, the generic definitions are both well-formulated and more broadly applicable.

Mesh:

Year:  2002        PMID: 11986874     DOI: 10.1038/sj.hdy.6800065

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  42 in total

1.  Selection and drift in subdivided populations: a straightforward method for deriving diffusion approximations and applications involving dominance, selfing and local extinctions.

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Journal:  Genetics       Date:  2003-12       Impact factor: 4.562

2.  Random mating with a finite number of matings.

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Journal:  Genetics       Date:  2003-12       Impact factor: 4.562

3.  Joint effects of self-fertilization and population structure on mutation load, inbreeding depression and heterosis.

Authors:  Denis Roze; François Rousset
Journal:  Genetics       Date:  2004-06       Impact factor: 4.562

4.  Influence of spatial and temporal heterogeneities on the estimation of demographic parameters in a continuous population using individual microsatellite data.

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Journal:  Genetics       Date:  2004-02       Impact factor: 4.562

5.  Diversity and linkage disequilibrium features in a composite public/private dent maize panel: consequences for association genetics as evaluated from a case study using flowering time.

Authors:  M Truntzler; N Ranc; M C Sawkins; S Nicolas; D Manicacci; D Lespinasse; V Ribière; P Galaup; F Servant; C Muller; D Madur; J Betran; A Charcosset; L Moreau
Journal:  Theor Appl Genet       Date:  2012-05-24       Impact factor: 5.699

Review 6.  How life history and demography promote or inhibit the evolution of helping behaviours.

Authors:  Laurent Lehmann; François Rousset
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-09-12       Impact factor: 6.237

7.  Unbiased relatedness estimation in structured populations.

Authors:  Jinliang Wang
Journal:  Genetics       Date:  2011-01-06       Impact factor: 4.562

8.  Unbiased estimation of gene diversity in samples containing related individuals: exact variance and arbitrary ploidy.

Authors:  Michael DeGiorgio; Ivana Jankovic; Noah A Rosenberg
Journal:  Genetics       Date:  2010-10-05       Impact factor: 4.562

9.  Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.

Authors:  Harald Ringbauer; Alexander Kolesnikov; David L Field; Nicholas H Barton
Journal:  Genetics       Date:  2018-01-08       Impact factor: 4.562

10.  Variogram analysis of the spatial genetic structure of continuous populations using multilocus microsatellite data.

Authors:  Helene H Wagner; Rolf Holderegger; Silke Werth; Felix Gugerli; Susan E Hoebee; Christoph Scheidegger
Journal:  Genetics       Date:  2005-01-16       Impact factor: 4.562

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