Almasy L, Blangero J
Department of Genetics, Southwest Foundation for Biomedical Research, PO Box 760549, San Antonio, TX 78245-0549, USA.
Behav Genet. 2004 Mar;34(2):173-7. doi: 10.1023/B:BEGE.0000013731.03827.69.
Variance component methods for linkage analysis of quantitative traits are now well established and have been applied with great success. Numerous QTLs influencing both normal variation between individuals and biomedically relevant quantitative risk factors have been localized in recent years. These findings have motivated recent methodological developments focused on the next step in the analytical process, moving beyond QTL localization by linkage to identifying specific genes and the functional polymorphisms in them that influence the phenotype of interest. In this paper, we describe one approach to exploring positional candidate genes in a region of linkage, linkage analysis conditional on measured genotype. We illustrate the properties of this method using simulated data from Genetic Analysis Workshops 10 and 12 and discuss example applications of this method to human quantitative trait data.
用于数量性状连锁分析的方差成分法现已成熟,并已取得巨大成功。近年来,许多影响个体间正常变异和生物医学相关数量风险因素的数量性状基因座已被定位。这些发现推动了近期方法学的发展,重点是分析过程的下一步,即从通过连锁定位数量性状基因座,转向识别影响目标表型的特定基因及其功能多态性。在本文中,我们描述了一种在连锁区域中探索位置候选基因的方法,即基于测量基因型的连锁分析。我们使用遗传分析研讨会10和12的模拟数据说明了该方法的特性,并讨论了该方法在人类数量性状数据中的示例应用。