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利用连锁分析和连锁不平衡分析进行多个数量性状基因座的精细定位——单数量性状基因座方法与多数量性状基因座方法的比较

Fine mapping of multiple QTL using combined linkage and linkage disequilibrium mapping--a comparison of single QTL and multi QTL methods.

作者信息

Uleberg Eivind, Meuwissen Theo H E

机构信息

Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, 1432 As, Norway.

出版信息

Genet Sel Evol. 2007 May-Jun;39(3):285-99. doi: 10.1186/1297-9686-39-3-285. Epub 2007 Apr 14.

DOI:10.1186/1297-9686-39-3-285
PMID:17433242
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2682827/
Abstract

Two previously described QTL mapping methods, which combine linkage analysis (LA) and linkage disequilibrium analysis (LD), were compared for their ability to detect and map multiple QTL. The methods were tested on five different simulated data sets in which the exact QTL positions were known. Every simulated data set contained two QTL, but the distances between these QTL were varied from 15 to 150 cM. The results show that the single QTL mapping method (LDLA) gave good results as long as the distance between the QTL was large (>90 cM). When the distance between the QTL was reduced, the single QTL method had problems positioning the two QTL and tended to position only one QTL, i.e. a "ghost" QTL, in between the two real QTL positions. The multi QTL mapping method (MP-LDLA) gave good results for all evaluated distances between the QTL. For the large distances between the QTL (>90 cM) the single QTL method more often positioned the QTL in the correct marker bracket, but considering the broader likelihood peaks of the single point method it could be argued that the multi QTL method was more precise. Since the distances were reduced the multi QTL method was clearly more accurate than the single QTL method. The two methods combine well, and together provide a good tool to position single or multiple QTL in practical situations, where the number of QTL and their positions are unknown.

摘要

对之前描述的两种将连锁分析(LA)和连锁不平衡分析(LD)相结合的QTL定位方法进行了比较,以评估它们检测和定位多个QTL的能力。在五个确切QTL位置已知的不同模拟数据集上对这些方法进行了测试。每个模拟数据集都包含两个QTL,但这些QTL之间的距离在15至150厘摩之间变化。结果表明,只要QTL之间的距离较大(>90厘摩),单QTL定位方法(LDLA)就能给出良好的结果。当QTL之间的距离减小时,单QTL方法在定位两个QTL时存在问题,并且倾向于只在两个真实QTL位置之间定位一个QTL,即一个“幽灵”QTL。多QTL定位方法(MP-LDLA)在所有评估的QTL之间距离上都给出了良好的结果。对于QTL之间的大距离(>90厘摩),单QTL方法更常将QTL定位在正确的标记区间内,但考虑到单点方法更宽的似然峰,可以认为多QTL方法更精确。随着距离减小,多QTL方法明显比单QTL方法更准确。这两种方法结合良好,共同为在实际情况中定位单个或多个QTL提供了一个很好的工具,在实际情况中QTL的数量及其位置是未知的。