Charoen Pimphen, Biernacka Joanna M, Cordell Heather J
University of Cambridge, Diabetes and Inflammation Laboratory, Department of Medical Genetics, CIMR, Addenbrookes Hospital, Cambridge, CB2 2XY, UK.
BMC Proc. 2007;1 Suppl 1(Suppl 1):S23. doi: 10.1186/1753-6561-1-s1-s23. Epub 2007 Dec 18.
We performed linkage and family-based association analysis across chromosomes 1-22 in Replicates 1-5 of the Genetic Analysis Workshop 15 simulated data. Linkage analysis was performed using the Kong and Cox allele-sharing test as implemented in the program Merlin. Association analysis was performed using the transmission/disequilibrium test (TDT). A region on chromosome 6 was consistently highlighted as showing significant linkage to and association with the disease trait. We focused in on this region and performed fine-mapping using stepwise regression approaches using the case/control and family-based data. In this region, we also applied several new methods, implemented in the computer programs LAMP and Graphminer, respectively, that have recently been proposed for association analysis with family and/or case/control data. All methods confirmed the highly significant associations previously observed. Differentiating between potentially causal single nucleotide polymorphisms (SNPs) and other non-causal loci (associated with disease merely due to linkage disequilibrium) proved to be problematic. However, in most replicates we did identify two SNPs (either SNPs 3437 and 3439 from the dense SNP set, or SNPs 153 and 3437 from the combined non-dense/dense SNP set) that together explain most of the observed disease association in the DR/C locus region, and an additional SNP (3931 or 3933) that accounts for the association 5 cM away at locus D.
我们在遗传分析研讨会15模拟数据的第1 - 5次重复实验中,对1 - 22号染色体进行了连锁和基于家系的关联分析。连锁分析使用程序Merlin中实现的Kong和Cox等位基因共享检验。关联分析使用传递不平衡检验(TDT)。6号染色体上的一个区域一直被突出显示为与疾病性状存在显著连锁和关联。我们聚焦于该区域,使用逐步回归方法,利用病例/对照数据和基于家系的数据进行精细定位。在这个区域,我们还应用了分别在计算机程序LAMP和Graphminer中实现的几种新方法,这些方法最近被提出用于家系和/或病例/对照数据的关联分析。所有方法都证实了之前观察到的高度显著关联。区分潜在的因果单核苷酸多态性(SNP)和其他非因果位点(仅由于连锁不平衡而与疾病相关)被证明是有问题的。然而,在大多数重复实验中,我们确实识别出两个SNP(要么来自密集SNP集的SNP 3437和3439,要么来自组合的非密集/密集SNP集的SNP 153和3437),它们共同解释了DR/C位点区域中观察到的大部分疾病关联,以及另一个SNP(3931或3933),它解释了在D位点5 cM远处的关联。