AUTOMATION OF AIDS CANDIDATE GENE ANALYSIS

艾滋病候选基因分析的自动化

• 批准号: 6289381
• 负责人: STEPHEN J O'BRIEN
• 金额: --
• 依托单位: DIVISION OF BASIC SCIENCES - NCI
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/6289381
• 关键词: AIDS; biomedical automation; computer data analysis; genetic mapping; genetic polymorphism; genetic screening; genetic susceptibility; human genetic material tag; human population genetics; informatics; long term survivor; pathologic process

High throughput genotyping assays have allowed the staff of the Laboratory of Genomic Diversity (LGD) to accumulate a large amount of genotypic data on subjects who are members of six large AIDS epidemiology cohorts. The bulk of the genotypes are for diallelic single nucleotide polymorphisms (SNPs) that are within or closely linked to genes that have been nominated as AIDS candidate genes on the basis of what is known about their function. The LGD has previously reported significant associations between genotypes for candidate genes and HIV infection susceptibility or progression to AIDS outcomes. This work was largely done by analyzing data one SNP and statistical test at a time. In order to efficiently analyze a large amount of accumulating data, a set of programs being developed to automate the analysis. The tests incorporated in the system include: 1) categorical analysis of infection status by genotype; 2) categorical analysis of disease progression by genotype; and 3) survival analysis using the Kaplan- Meier and Cox proportional hazard models. Automation of AIDS Candidate Gene Analysis - AIDS, bioinformatics, candidate genes, Computer analysis, disease association, Genetic epidemiology, Genetic Susceptibility, - Human Tissues, Fluids, Cells, etc.

高通量基因分型测定使基因组多样性实验室 (LGD) 的工作人员能够积累有关六个大型艾滋病流行病学队列成员的大量基因型数据。大部分基因型是双等位单核苷酸多态性（SNP），它们位于根据已知功能而被提名为艾滋病候选基因的基因内或与之密切相关。 LGD 此前曾报道候选基因的基因型与 HIV 感染易感性或艾滋病结果进展之间存在显着关联。这项工作主要是通过一次分析一个 SNP 数据和统计测试来完成的。为了有效地分析大量积累的数据，正在开发一组程序来自动化分析。系统中纳入的测试包括：1）按基因型对感染状态进行分类分析； 2) 按基因型对疾病进展进行分类分析； 3) 使用 Kaplan-Meier 和 Cox 比例风险模型进行生存分析。艾滋病候选基因分析自动化 - 艾滋病、生物信息学、候选基因、计算机分析、疾病关联、遗传流行病学、遗传易感性、 - 人体组织、体液、细胞等。