Improved modeling of genotype data

 描述（由申请人提供）：单倍型频率模型用于估计紧密连锁遗传基因座上等位基因序列的群体频率。这些模型是遗传分析的基本工具，因为它们使分析能够使用来自相关的、紧密间隔的遗传变异的信息。单倍型频率模型是许多重要分析的基础技术，包括低覆盖率序列数据的基因型调用，未分型标记的插补，单倍型定相，在遗传位点的群体祖先的推断，以及通过血统识别的片段的检测。这项研究将开发一个更准确和更有效的计算单倍型频率模型，它将开发更快，更准确的单倍型定相和基因型插补的方法。

 DESCRIPTION (provided by applicant): Haplotype frequency models are used to estimate the population frequency of a sequence of alleles at tightly-linked genetic loci. These models are a fundamental tool for genetic analysis because they enable analyses to use information from correlated, closely-spaced genetic variants. Haplotype frequency models are the technology underlying many important analyses, including genotype calling from low-coverage sequence data, imputation of ungenotyped markers, haplotype phasing, inference of population ancestry at a genetic locus, and detection of segments of identity-by-descent. This research will develop a more accurate and more computationally efficient haplotype frequency model, and it will develop faster, more accurate methods for haplotype phasing and genotype imputation.