16
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Bayesian and residual maximum likelihood statistical gene mapping

Pages 47-54 | Published online: 23 Sep 2009
 

Abstract

Residual Maximum Likelihood and Bayesian methods for statistical gene mapping in livestock were derived and applied to simulated half‐sib designs. REML was robust to the number of QTL alleles, and Bayesian analysis permitted to fit different QTL models. Single QTLs explaining at least 12.5% of additive genetic variance were detected with power of .5 or higher. Two linked QTLs were detected when 20cM (40cM) apart and jointly accounting for 50% (25%) of additive genetic variance.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.