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Toward the most ideal case-control design with related and unrelated dogs in whole-exome sequencing studies

机译:在全外显子组测序研究中,对相关和不相关的狗进行最理想的病例对照设计

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摘要

With the recent development of whole-exome sequencing enrichment designs for the dog, a novel tool for disease-association studies became available. The aim of disease-association studies is to identify one or a very limited number of putative causal variants or genes from the large pool of genetic variation. To maximize the efficiency of these studies and to provide some directions of what to expect, we evaluated the effect on variant reduction for various combinations of cases and controls for both dominant and recessive types of inheritance assuming variable degrees of penetrance and detectance. In this study, variant data of 14 dogs (13 Labrador Retrievers and one Dogue de Bordeaux), obtained by whole-exome sequencing, were analyzed. In the filtering process, we found that unrelated dogs from the same breed share up to 70% of their variants, which is likely a consequence of the breeding history of the dog. For the designs tested with unrelated dogs, combining two cases and two controls gave the best result. These results were improved further by adding closely related dogs. Reduced penetrance and/or detectance has a drastic effect on the efficiency and is likely to have a profound effect on the sample size needed to elucidate the causal variant. Overall, we demonstrated that sequencing a small number of dogs results in a marked reduction of variants that are likely sufficient to pinpoint causal variants or genes.
机译:随着对狗的全外显子组测序富集设计的最新发展,用于疾病关联研究的新型工具变得可用。疾病关联研究的目的是从大量的遗传变异中识别一种或非常有限的假定因果变异或基因。为了最大程度地提高这些研究的效率并提供预期的方向,我们假设了外显率和侦破程度的变化,评估了优势和隐性继承类型的病例和对照的各种组合对变异减少的影响。在这项研究中,分析了通过全外显子组测序获得的14只狗(13只拉布拉多犬和一只波尔多Dogue)的变异数据。在筛选过程中,我们发现同一犬种中不相关的犬只共享其变种的70%,这很可能是犬的育种历史的结果。对于用不相关的狗进行测试的设计,将两个案例和两个对照相结合可获得最佳结果。通过添加密切相关的狗,这些结果得到了进一步改善。渗透率和/或检出率的降低对效率产生巨大影响,并且可能对阐明因果关系变体所需的样本量产生深远影响。总体而言,我们证明了对少量的狗进行测序会导致变体的明显减少,而这些变体可能足以确定因果变体或基因。

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