Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: Interval mapping of quantitative trait loci with selective DNA pooling data | Genet. Sel. Evol. 39 2007 685-709 INRA EDP Sciences 2007 DOI gse 2007026 Available online at Original article Interval mapping of quantitative trait loci with selective DNA pooling data Jing WANGa b Kenneth J. KOEHLERb Jack . DEKKERSa a Department of Animal Science and Center for Integrated Animal Genomics Iowa State University Ames Iowa 50011 USA b Department of Statistics Iowa State University Ames Iowa 50011 USA Received 10 October 2006 accepted 21 May 2007 Abstract - Selective DNA pooling is an efficient method to identify chromosomal regions that harbor quantitative trait loci QTL by comparing marker allele frequencies in pooled DNA from phenotypically extreme individuals. Currently used single marker analysis methods can detect linkage of markers to a QTL but do not provide separate estimates of QTL position and effect nor do they utilize the joint information from multiple markers. In this study two interval mapping methods for analysis of selective DNA pooling data were developed and evaluated. One was based on least squares regression LS-pool and the other on approximate maximum likelihood ML-pool . Both methods simultaneously utilize information from multiple markers and multiple families and can be applied to different family structures half-sib F2 cross and backcross . The results from these two interval mapping methods were compared with results from single marker analysis by simulation. The results indicate that both LS-pool and ML-pool provided greater power to detect the QTL than single marker analysis. They also provide separate estimates of QTL location and effect. With large family sizes both LS-pool and ML-pool provided similar power and estimates of QTL location and effect as selective genotyping. With small family sizes however the LS-pool method resulted in severely biased estimates of QTL location for distal QTL but this bias was reduced with the ML-pool. selective DNA pooling interval mapping QTL 1. .
