Exploration of haplotype-based association methods for gene-mapping of complex traits

基于单倍型的基因定位方法近年来受到越来越多的关注，因为单倍型能够捕捉多个连锁标记中的局部连锁不平衡信息，并且比单一标记更能提供信息。它们已被证明具有良好的特性，可以在同质群体中定位基因。该项目的目的是利用模拟数据，澄清基于血型的方法在遗传异质性、种群分层、基因分型错误和丢失数据等不同情况下的有效性和有效性方面的一些基本问题。结果将被纳入一种新的方法，并为复杂性状的基于单倍型的方法的遗传图谱的应用提出建议。我们提出了一种基于Mantel统计的新方法来提高单倍型共享分析的能力。这项工作将在使用的测试统计、遗传相似性的测量以及对多个遗传或非遗传因素的调整方面得到进一步发展。它将在公众可访问的软件中实施，以确保为遗传学研究提供新的发展。

Haplotype-based association methods for mapping genes have received increased interest recently because haplotypes capture the local linkage disequilibrium information in multiple linked markers and more informative than single markers. They have been shown to have good characteristics to map a gene in a homogenous population. The aim of the project is to clarify some basic questions regarding hablotype-based methods with respect to their power and validity in different situations regarding genetic heterogeneity, population stratification, genotyping errors, and missing data, using simulated data. Results will be incorporated into a new approach and recommendations made for the application of haplotype-based methods für genetic mapping of complex traits. We proposed novel extensions to improving the power of haplotype sharing analysis with a new approach based on the Mantel statistics. This work will be further developed with respect to the test statistics used, the measurement of genetic similarity, and the adjustment for multiple genetic or non-genetic factors. It will be implemented in public accessible software to ensure availability of the new developments for genetics studies.