- THIS ARTICLE
- Full Text
- Full Text (PDF)
-
All Versions of this Article:
genetics.105.049940v1
173/1/483 most recent - Alert me when this article is cited
- Alert me if a correction is posted
- SERVICES
- Email this article to a friend
- Similar articles in this journal
- Similar articles in PubMed
- Alert me to new issues of the journal
- Download to citation manager
- Reprints & Permissions
- CITING ARTICLES
- Citing Articles via HighWire
- Citing Articles via Google Scholar
- GOOGLE SCHOLAR
- Articles by Oliehoek, P. A.
- Articles by Bijma, P.
- Search for Related Content
- PUBMED
- PubMed Citation
- Articles by Oliehoek, P. A.
- Articles by Bijma, P.
Originally published as Genetics Published Articles Ahead of Print on March 1, 2006.
Genetics, Vol. 173, 483-496, May 2006, Copyright © 2006
doi:10.1534/genetics.105.049940
Estimating Relatedness Between Individuals in General Populations With a Focus on Their Use in Conservation Programs
Pieter A. Oliehoek*,1,
Jack J. Windig
,
,
Johan A. M. van Arendonk* and
Piter Bijma*
* Animal Breeding and Genetics, Wageningen University, Wageningen, 6709 PG, The Netherlands and Centre for Genetic Resources (CGN) and Animal Sciences Group (ASG), Wageningen University and Research Centre (WUR), Lelystad, 8200 AB, The Netherlands
1 Corresponding author: Animal Breeding and Genetics, Department of Animal Sciences, Wageningen University, P.O. Box 338, Marijkeweg 40, Wageningen, 6709 PG, The Netherlands.
E-mail: genetics{at}geneticdiversity.net
Relatedness estimators are widely used in genetic studies, but effects of population structure on performance of estimators, criteria to evaluate estimators, and benefits of using such estimators in conservation programs have to date received little attention. In this article we present new estimators, based on the relationship between coancestry and molecular similarity between individuals, and compare them with existing estimators using Monte Carlo simulation of populations, either panmictic or structured. Estimators were evaluated using statistical criteria and a diversity criterion that minimized relatedness. Results show that ranking of estimators depends on the population structure. An existing estimator based on two-gene and four-gene coefficients of identity performs best in panmictic populations, whereas a new estimator based on coancestry performs best in structured populations. The number of marker alleles and loci did not affect ranking of estimators. Statistical criteria were insufficient to evaluate estimators for their use in conservation programs. The regression coefficient of pedigree relatedness on estimated relatedness (ß2) was substantially lower than unity for all estimators, causing overestimation of the diversity conserved. A simple correction to achieve ß2 = 1 improves both existing and new estimators. Using relatedness estimates with correction considerably increased diversity in structured populations, but did not do so or even decreased diversity in panmictic populations.
This article has been cited by other articles:
 |
|
 |
|
  R. J. W. Blonk, H. Komen, A. Kamstra, and J. A. M. van Arendonk Estimating Breeding Values With Molecular Relatedness and Reconstructed Pedigrees in Natural Mating Populations of Common Sole, Solea Solea Genetics, January 1, 2010; 184(1): 213 - 219. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 J.M Pemberton Wild pedigrees: the way forward Proc R Soc B, March 22, 2008; 275(1635): 613 - 621. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
R. Bergsma, E. Kanis, E. F. Knol, and P. Bijma The Contribution of Social Effects to Heritable Variation in Finishing Traits of Domestic Pigs (Sus scrofa) Genetics, March 1, 2008; 178(3): 1559 - 1570. [Abstract] [Full Text] [PDF]
|
|
|