FAMILY BASED TESTS OF ASSOCIATION FOR COMPLEX DISEASES

复杂疾病协会基于家庭的测试

• 批准号: 2801598
• 负责人: NAN MCKENZIE LAIRD
• 金额: $ 32.55万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-09-30 至 2001-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2801598
• 关键词: Alzheimer's disease; blood pressure; computer human interaction; computer program /software; computer simulation; epidemiology; family genetics; gene environment interaction; gene expression; gene interaction; genetic disorder; genetic markers; genetic susceptibility; handbook; human data; human population genetics; human subject; hypertension; linkage disequilibriums; linkage mapping; microtubules; online computer; phenotype; statistics /biometry

The long-term objective of this proposal is to enable the discovery of genes underlying complex traits using family based association tests that detect linkage disequilibrium while protecting against spurious evidence of association due to population admixture. To achieve this, specific aims of this project are to: (i) develop computer program that implements family based association tests with arbitrary nuclear family structure including those with missing parental information; that can incorporate environmental covariates and multiple genes into the model; that can test for gene-gene and gene-environment interactions; and that may be applied to dichotomous, quantitative, and time-of-onset phenotypes; (ii) develop a simple and flexible use interface to the program and easy installation procedures, and make the program widely available via ftp; (iii) test the statistical properties of the methodology in simulations and in real data, and use the test results to develop guidelines for the use of the program; (iv) develop an online help system and well-indexed user's manual; provide user support for the program; and develop comprehensive documentation of the statistical procedures; and (v) to extend the methodology to handle pedigrees of arbitrary structure including families with missing founder information. The resulting methodology will be able to test candidate genes, to test for linkage in the presence of association, and to test for association in homogeneous populations where linkage has been established (fine mapping). The investigators also indicate that the new computer software will fill gaps in family based association tests, specifically in cases with arbitrary pedigrees missing parental information, multiple genes, covariates, gene-gene and gene-environment interactions, and survival end-points.

这项建议的长期目标是使发现