RAPID MULTIPOINT METHODS FOR MAPPING COMPLEX DISEASES

说明(改编自《调查者摘要》)：参数链接 模型，如果仔细应用，可以在解开 复杂疾病中相互作用基因的复杂性。调查人员 将使用新算法开发更快的似然引擎，以扩展 参数链接分析的可能应用范围包括 多位点模型用于测量易感基因和易感基因之间的相互作用 回归模型能够解释协变量、环境 因素和家族相关性。 单倍型变异分析是一种非常有效的方法来测量 数量性状的变异，并协助它们的精细定位。这个 研究人员将开发零重组单倍型程序以 有效地执行此分析。单倍型计划将是 尤其有用的是，阵列技术开始允许快速基因分型 数以千计的单核苷酸多态标记。 在许多非参数方法中，模拟是不可或缺的一部分 检验统计模型在复杂性研究中的威力 疾病。一种基于快速似然引擎的健壮性仿真引擎 将由调查人员开发。 这些算法将在Vitesse中实现，以开发一个完整的 使用更强大的参数进行复杂疾病研究的程序包 模特们。调查人员将严格测试和验证 计算和模拟引擎以及单倍型计划，以确保 算法的正确性。他们还将优化代码以运行 在其他研究人员普遍使用的所有平台上高效运行。这个 调查人员将通过互联网记录和分发这些程序 全世界的科学界。

DESCRIPTION (Adapted from the Investigator's Abstract): Parametric linkage models, when carefully applied, can be invaluable in unraveling the complexities of interacting genes in complex diseases. The investigators will develop a faster likelihood engine using novel algorithms to extend the range of possible applications of parametric linkage analysis to include multilocus models to measure interaction between susceptibility genes and regressive models to be able to account for covariates, environmental factors, and familial correlations. Haplotype variation analysis is a very powerful approach to measure the variation of quantitative traits and to aid in their fine mapping. The investigators will develop zero-recombinant haplotype programs to efficiently carry out this analysis. The haplotype program will be particularly useful as array technologies begin to permit rapid genotyping at thousands of single nucleotide polymorphism markers. Simulation is an integral part in many non-parametric approaches and for testing the power of statistical models used in the study of complex diseases. A robust simulation engine based on the faster likelihood engine will be developed by the investigators. The algorithms will be implemented in VITESSE to develop an integrated package for the study of complex diseases using more powerful parametric models. The investigators will rigorously test and validate the computational and simulation engine and haplotyping programs to ensure correctness of the algorithms. They will also optimize the code to run efficiently on all platforms in general use by other researchers. The investigators will document and distribute the programs via the Internet to the worldwide scientific community.