Multipoint genomic scanning for quantitative loci: effects of map density, sibship size and computational approach.
Multipoint genomic scanning for quantitative loci: effects of map density, sibship size and computational approach.
复制标题
定量位点的多点基因组扫描：图谱密度、同胞大小和计算方法的影响。
DOI：
10.1038/sj.ejhg.5200280
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
Goldgar,DE
中科院分区：
文献类型：
--
作者：
Shugart,YY;Goldgar,DE
多点区间作图（MIM）和MAPMAKER/SIBS程序（M/S）是通过检测多个微卫星DNA标记所覆盖区域中的遗传同一性（IBD）来定位数量基因座的两种方法。为了比较，我们模拟了一个数量性状控制的双位点模型，并评估了两种方法的功率和全基因组假阳性率。基于我们的模拟，我们研究了标记密度（5 cM，10 cM和20 cM）和亲缘关系大小（2，3，4和5）的功率检测连锁的影响。我们的研究结果表明，一个10厘米的地图提供了最佳的权衡之间的权力和I型错误，MIM的权力增加与同胞的大小，一般来说，表现优于MAPMAKER/SIBS。此外，我们的结论是，使用一个合理的随机确定的亲缘关系的样本，它是可能的地图数量性状位点（QTL）占25%的表型方差。
Multipoint interval mapping (MIM) and the MAPMAKER/SIBS program (M/S) are two methods of mapping quantitative loci by examining identity by descent (IBD) sharing in a region spanned by multiple microsatellite DNA markers. For the purpose of comparison, we simulated a quantitative trait controlled by a two-locus model, and evaluated the power and genome-wide false positive rate of both approaches. Based on our simulation, we examined the effects of marker density (5 cM, 10 cM and 20 cM) and sibship size (2, 3, 4 and 5) on the power to detect linkage. Our results indicate that a 10 cM map provides the optimal trade-off between power and type I error, and that the power of MIM increases with sibship size and, in general, performs better than MAPMAKER/SIBS. Furthermore, we conclude that using a reasonable sample of randomly ascertained sibships, it is possible to map a quantitative trait locus (QTL) which accounts for 25% of the phenotypic variance.