QUANTITATIVE METHODS FOR LINKAGE AND ASSOCIATION STUDIES

该项目的目标是开发定量分析方法 在复杂的家庭和人口研究中收集的遗传数据 疾病，并在易于使用的计算机程序中实现这些方法。 需要这些方法来解开常见的复杂的遗传基础， 疾病将为以下任务制定新的方法： 全多点分析的质量和数量性状， 任意大而复杂的家系;检测单倍型的关联性 疾病;多点连锁不平衡分析;多点检测 与疾病相关的功能性变体。 新技术允许收集越来越多的 来自两个家族的常见疾病样本的多态性数据， 人口。为该项目开发的新方法将使 有效利用这些数据，并将提高研究人员的能力， 检测对疾病易感性的真正遗传效应， 统计噪音。计算机程序将确保 这些方法被广泛且容易地应用于现实世界的问题。

The goals of this project are to develop quantitative methods for analysis of genetic data gathered in family and population studies of complex diseases, and to implement these methods in easy to use computer programs. Such methods are required to unravel the complex genetic basis of common diseases. New methods will be developed for the following tasks: Rapid full multi-point analysis of both qualitative and quantitative traits in arbitrary large and complex pedigrees; Testing haplotypes for association with disease; Multi-point linkage disequilibrium analysis; Testing many functional variants for association with disease. New technologies are allowing collection of increasingly large amounts of polymorphism data on common disease samples drawn from both families and populations. The new methods developed for this project will enable efficient use of this data, and will improve researchers' ability to detect true genetic effects on disease susceptibility and to distinguish them from statistical noise. The computer programs will ensure that the methods are widely and readily applied to real-world problems.