Improved modeling of genotype data

改进的基因型数据建模

• 批准号: 9143163
• 负责人: BRIAN LEE BROWNING
• 金额: $ 35万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-15 至 2018-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9143163
• 关键词: Address; Alleles; Cardiovascular Diseases; Computer software; Computing Methodologies; Data; Data Set; Detection; Diabetes Mellitus; Diagnosis; Disease; Frequencies; Genetic; Genotype; Goals; Haplotypes; Health; Individual; Internet; Link; Methods; Modeling; Phase; Population; Population Density; Prevention; Recording of previous events; Research; Risk; Sample Size; Sampling; Scientist; Speed; Techniques; Technology; Time; United States; Variant; disorder risk; genetic analysis; genetic variant; identity by descent; improved; novel; open source; tool

 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.