Laboratory for Genetic Epidemiology, Western Australian Institute for Medical Research, UWA Centre for Medical Research, University of Western Australia, Hospital Avenue, Nedlands, Western Australia.
BMC Genet. 2005 Dec 30;6 Suppl 1(Suppl 1):S41. doi: 10.1186/1471-2156-6-S1-S41.
We combined the results of whole-genome linkage and association analyses to determine which markers were most strongly associated with Kofendrerd Personality Disorder. Using replicate 1 from the Genetic Analysis Workshop 14 Aipotu, Karangar, Danacaa, and New York City simulated populations, we determined that several markers showed significant linkage and association with disease status. We used both SNP and microsatellite markers to determine patterns and chromosomal regions of markers. Three consistently associated markers were C01R0050, C03R0280, and C10R0882. Using generalized linear mixed models, we modelled the effect of the three predefined phenotypic categories on disease status and concluded that the phenotypes defining the "anxiety-related" category best predicted the outcome.
我们将全基因组连锁和关联分析的结果结合起来，以确定哪些标记与 Kofendrerd 人格障碍的相关性最强。使用来自遗传分析研讨会 14 的 Aipotu、Karangar、Danacaa 和纽约市模拟人群的复制 1，我们确定了几个标记与疾病状态显著相关。我们使用 SNP 和微卫星标记来确定标记的模式和染色体区域。三个一致相关的标记是 C01R0050、C03R0280 和 C10R0882。使用广义线性混合模型，我们对三种预定义的表型类别对疾病状态的影响进行建模，得出结论，定义“焦虑相关”类别的表型最能预测结果。
