Statistical Analysis of Genetic Analysis Workshop 11 Data

该项目涉及对来自 遗传分析研讨会11.来自COGA的一组数据 对酒精中毒的研究采用连锁和联想分析方法 技术，寻找染色体上可能连锁的证据 12个影响单胺氧化酶活性的基因座 这一基因座在吸烟者中可能比在非吸烟者中更重要 吸烟者。另一组数据是针对一个极其复杂的 计算机模拟的特征。几种分析方法都忽略了 试图对环境风险因素进行调整的是 比较一下。发现在兄弟姐妹中，权力的主要增加 连锁分析可以通过只分析暴露的人来获得 对于风险因素，如果环境风险因素有相当大的 对外显率的影响。已提交两份稿件供 出版。

This project involved analysis of two datasets from the Genetic Analysis Workshop 11. A set of data from the COGA study of alcoholism was analyzed using linkage and association techniques, finding evidence for possible linkage on chromosome 12 of a locus influencing monoamine oxidase activity and showing that this locus may be more important in smokers than in non- smokers. Another set of data was for an extremely complex computer simulated trait. Several methods of analysis both ignoring and attempting to adjust for an environmental risk factor were compared. It was found that major increases in power in sib-pair linkage analyses can be obtained by analyzing only persons exposed to the risk factor, if the environmental risk factor has a fairly large effect on penetrance. Two manuscripts have been submitted for publication.