Lu Xin, Niu Tianhua, Liu Jun S
Department of Statistics, Harvard University, Cambridge, Massachusetts 02138, USA.
Genome Res. 2003 Sep;13(9):2112-7. doi: 10.1101/gr.586803.
Single nucleotide polymorphisms in the human genome have become an increasingly popular topic in that their analyses promise to be a key step toward personalized medicine. We investigate two related questions, how much the haplotype information contributes to linkage disequilibrium (LD) mapping and whether an in silico haplotype construction preceding the LD analysis can help. For disease gene mapping, using both simulated and real data sets on cystic fibrosis and the Alzheimer disease, we reached the following conclusions: (1) for simple Mendelian diseases, in which case a tractable full statistical model can be developed, the loss of haplotype information for either control or disease data do not have a great impact on LD fine mapping, and haplotype inference should be carried out jointly with LD mapping; (2) for complex diseases, inferring haplotype phases for individuals prior to LD mapping helps achieve a better accuracy. An improved version of the linkage disequilibrium mapping program, BLADE v2, is available at http://www.fas.harvard.edu/junliu/TechRept/03folder/bladev2.tgz.
人类基因组中的单核苷酸多态性已成为一个日益热门的话题,因为对它们的分析有望成为迈向个性化医疗的关键一步。我们研究了两个相关问题:单倍型信息对连锁不平衡(LD)图谱构建有多大贡献,以及在LD分析之前进行的计算机模拟单倍型构建是否会有所帮助。对于疾病基因图谱构建,我们使用了关于囊性纤维化和阿尔茨海默病的模拟数据集与真实数据集,得出了以下结论:(1)对于简单孟德尔疾病,在这种情况下可以开发出易于处理的完整统计模型,对照数据或疾病数据中单倍型信息的丢失对LD精细图谱构建没有太大影响,单倍型推断应与LD图谱构建联合进行;(2)对于复杂疾病,在LD图谱构建之前推断个体的单倍型相位有助于获得更高的准确性。连锁不平衡图谱构建程序BLADE v2的改进版本可从http://www.fas.harvard.edu/junliu/TechRept/03folder/bladev2.tgz获取。