Free Content The use of marker-based relationship information to estimate the heritability of body weight in a natural population: a cautionary tale

Authors: Thomas S.C.; Coltman D.W.; Pemberton J.M.

Source: Journal of Evolutionary Biology, Volume 15, Number 1, January 2002 , pp. 92-99(8)

Publisher: Wiley-Blackwell

Buy & download fulltext article:

You have access to the full text article on a website external to ingentaconnect.

Please click here to view this article on Wiley Online Library.

You may be required to register and activate access on Wiley Online Library before you can obtain the full text. If you have any queries please visit Wiley Online Library

Abstract:

A number of procedures have been developed that allow the genetic parameters of natural populations to be estimated using relationship information inferred from marker data rather than known pedigrees. Three published approaches are available; the regression, pair-wise likelihood and Markov Chain Monte Carlo (MCMC) sib-ship reconstruction methods. These were applied to body weight and molecular data collected from the Soay sheep population of St. Kilda, which has a previously determined pedigree. The regression and pair-wise likelihood approaches do not specify an exact pedigree and yielded unreliable heritability estimates, that were sensitive to alteration of the fixed effects. The MCMC method, which specifies a pedigree prior to heritability estimation, yielded results closer to those determined using the known pedigree. In populations of low average relationship, such as the Soay sheep population, determination of a reliable pedigree is more useful than indirect approaches that do not specify a pedigree.

Keywords: natural populations and Soay sheep; relationship inference; sib-ship reconstruction; variance components

Language: English

Document Type: Research article

DOI: http://dx.doi.org/10.0000/014461999371114

Publication date: 2002-01-01

Related content

Tools

Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page