TAILIEUCHUNG - Báo cáo sinh học: " Detection of multiple quantitative trait loci and their pleiotropic effects in outbred pig populations"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: Detection of multiple quantitative trait loci and their pleiotropic effects in outbred pig populations | Genetics Selection Evolution o BioMed Central Research Detection of multiple quantitative trait loci and their pleiotropic effects in outbred pig populations Yoshitaka Nagamine 1 2 Ricardo Pong-Wong2 Peter M Visscher3 and Chris S Haley2 4 Address National Institute of Livestock and Grassland Science Tsukuba 305-0901 Japan 2The Roslin Institute The University of Edinburgh Midlothian EH25 9PS UK 3Queensland Institute of Medical Research Brisbane QLD 4029 Australia and 4Human Genetics Unit Medical Research Centre Edinburgh EH4 2XU UK Email Yoshitaka Nagamine - Ricardo Pong-Wong - Peter M Visscher - Chris S Haley - Corresponding author Published 6 October 2009 Received 17 April 2009 Genetics Selection Evolution 2009 41 44 doi 1297-9686-41 -44 Accepted 6 October 2009 This article is available from http content 41 1M4 2009 Nagamine et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Simultaneous detection of multiple QTLs quantitative trait loci may allow more accurate estimation of genetic effects. We have analyzed outbred commercial pig populations with different single and multiple models to clarify their genetic properties and in addition we have investigated pleiotropy among growth and obesity traits based on allelic correlation within a gamete. Methods Three closed populations A 427 individuals from a Yorkshire and Large White synthetic breed B 547 Large White individuals and C 531 Large White individuals were analyzed using a variance component method with one-QTL and two-QTL models. Six markers on chromosome 4 and five to seven markers on chromosome 7 were .

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