TAILIEUCHUNG - Báo cáo sinh học: "A gene frequency model for QTL mapping using Bayesian inference"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: A gene frequency model for QTL mapping using Bayesian inference | He et al. Genetics Selection Evolution 2010 42 21 http content 42 1 21 GSE Ge n et i cs Selection Evolution RESEARCH Open Access A gene frequency model for QTL mapping using Bayesian inference Wei He1 Rohan L Fernando1 2 Jack CM Dekkers1 2 Helene Gilbert3 Abstract Background Information for mapping of quantitative trait loci QTL comes from two sources linkage disequilibrium non-random association of allele states and cosegregation non-random association of allele origin . Information from LD can be captured by modeling conditional means and variances at the QTL given marker information. Similarly information from cosegregation can be captured by modeling conditional covariances. Here we consider a Bayesian model based on gene frequency BGF where both conditional means and variances are modeled as a function of the conditional gene frequencies at the QTL. The parameters in this model include these gene frequencies additive effect of the QTL its location and the residual variance. Bayesian methodology was used to estimate these parameters. The priors used were logit-normal for gene frequencies normal for the additive effect uniform for location and inverse chi-square for the residual variance. Computer simulation was used to compare the power to detect and accuracy to map QTL by this method with those from least squares analysis using a regression model LSR . Results To simplify the analysis data from unrelated individuals in a purebred population were simulated where only LD information contributes to map the QTL. LD was simulated in a chromosomal segment of 1 cM with one QTL by random mating in a population of size 500 for 1000 generations and in a population of size 100 for 50 generations. The comparison was studied under a range of conditions which included SNP density of or cM sample size of 500 or 1000 and phenotypic variance explained by QTL of 2 or 5 . Both 1 and 2-SNP models were considered. Power to detect the QTL for the .

• Báo cáo khoa học
• Báo cáo sinh học hay
• cách trình bày báo cáo
• báo cáo sinh học
• công trình nghiên cứu sinh học
• tài liệu về sinh học