LINKAGE ANALYSIS METHODS FOR HUMAN GENE MAPPING

描述（改编自研究者摘要）：本研究的长期目标 项目是为连锁的统计连锁分析提供新的方法 复杂性状的基因定位数据。预计结果将增加 分析方法的可靠性和力量。不断更新， 各种版本的链接程序和统计部门普遍感兴趣的信息 “遗传学家”可通过万维网上的主页免费查阅。 此外，正在出版《联系通讯》， 淘汰了具体目标侧重于发展联系的方法， 基于病例对照或核心家庭的不平衡分析。单点 测试统计，在疾病基因附近的多个标记上求和， 预计对复杂性状特别有效（目标1）。对数线性 建模可应用于多个连锁或非连锁标记 是一个有用的工具，用于模拟基因座之间的相互作用。最后，用户将 继续得到迅速和可靠的支持。

DESCRIPTION (Adapted from investigator's abstract): The long-term goal of this project is to provide new methods for statistical linkage analysis of linkage data in gene mapping for complex traits. Results are expected to increase reliability and power of analysis methods. On an on-going basis, up-to-date versions of linkage programs and information of general interest to statistical geneticists is freely made available through a home page on the world wide web. Also, on-going is the publication of a Linkage Newsletter although it is being phased out. The specific aims focus on methods of development for linkage and disequilibrium analysis based on case-control or nuclear families. Single-locus test statistics, summed over multiple markers in the vicinity of disease genes, are expected to be particularly powerful for complex traits (aim 1). Log linear modeling may be applied to multiple linked or unlinked markers and is expected to be a useful tool for modeling interactions between loci. Finally, users will continue to receive rapid and reliable support.