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使用全基因组标记对复杂性状进行贝叶斯多数量性状基因座定位

Bayesian multiple quantitative trait loci mapping for complex traits using markers of the entire genome.

作者信息

Huang Hanwen, Eversley Chevonne D, Threadgill David W, Zou Fei

机构信息

Department of Biostatistics, Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC 27599, USA.

出版信息

Genetics. 2007 Aug;176(4):2529-40. doi: 10.1534/genetics.106.064980. Epub 2007 May 4.

DOI:10.1534/genetics.106.064980
PMID:17483433
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1950652/
Abstract

A Bayesian methodology has been developed for multiple quantitative trait loci (QTL) mapping of complex binary traits that follow liability threshold models. Unlike most QTL mapping methods where only one or a few markers are used at a time, the proposed method utilizes all markers across the genome simultaneously. The outperformance of our Bayesian method over the traditional single-marker analysis and interval mapping has been illustrated via simulations and real data analysis to identify candidate loci associated with colorectal cancer.

摘要

已开发出一种贝叶斯方法，用于对遵循责任阈值模型的复杂二元性状进行多数量性状基因座（QTL）定位。与大多数一次仅使用一个或几个标记的QTL定位方法不同，该方法同时利用全基因组的所有标记。通过模拟和实际数据分析，已证明我们的贝叶斯方法优于传统的单标记分析和区间定位，以识别与结直肠癌相关的候选基因座。