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METHODS FOR MULTIPOINT ANALYSIS OF COMPLEX PHENOTYPES

复杂表型的多点分析方法

基本信息

批准号：
2392517
负责人：
Cathryn Lewis
金额：
$ 10.69万
依托单位：
UNIVERSITY OF UTAH
依托单位国家：
美国
项目类别：
财政年份：
1992
资助国家：
美国
起止时间：
1992-03-15 至 1998-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/2392517
关键词：
biological polymorphism computer program /software computer simulation family genetics genetic markers genotype human data linkage mapping mathematical model method development neoplasm /cancer genetics phenotype statistics /biometry

项目摘要

The advent of high resolution genetic maps of highly informative short tandem repeat polymorphisms (STRPs) has made the mapping of genes which confer increased susceptibility to common and/or complex diseases technically feasible. However, the statistical and computational methodology to efficiently utilize this technology is lagging behind the requisite laboratory methods. The overall goal of this proposal is to develop the statistical and computational tools to effectively take maximal advantage of these dense genetic maps. We have previously developed a method (MIM) using multiple marker loci to partition genetic variance of a human quantitative trait to loci located in specific chromosomal regions. In this proposal we plan to continue and extend our work on the MIM methodology and incorporate these new theoretical developments in an expanded version of our previously developed computer software. We will examine the utility of a Monte-Carlo method for multipoint linkage analysis of complex traits on large extended pedigrees with substantial amounts of missing data. We plan to adapt this method to several non-parametric or model-free linkage analysis methods to increase their power in general pedigrees. Lastly, we will apply the methods derived in the above specific aims to several human traits of varying complexity using previously gathered genome-wide genotypic data from our ongoing linkage studies.

高度信息量短的高分辨率遗传图谱的出现串联重复序列多态(STRPs)已经使基因图谱增加对常见和/或复杂疾病的易感性在技术上是可行的。然而，统计和计算有效利用这项技术的方法落后于必备的实验室方法。这项提案的总体目标是开发统计和计算工具，以有效地这些密集遗传图谱的最大优势。我们之前已经发展了一种利用多标记基因座进行遗传划分的方法(MIM 人类数量性状对位于特定基因座的变异染色体区域。在这项提案中，我们计划继续并延长我们的研究MIM方法，并结合这些新的理论我们以前开发的计算机的扩展版本的发展软件。我们将研究蒙特卡罗方法的实用性大家系复杂性状的多点连锁分析有大量丢失的数据。我们计划将这种方法调整为几种非参数或无模型的链接分析方法，以增加他们在一般血统中的力量。最后，我们将应用这些方法在以上的具体目标中派生出的几个人类特征各不相同使用之前从我们的基因组中收集的全基因组基因数据正在进行的关联研究。