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A pathway-based association analysis model using common and rare variants

机译:基于路径的关联分析模型,使用常见和罕见变体

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How various genetic effects in combination affect susceptibility to certain disease states continues to be a major area of methodological research. Various rare variant models have been proposed, in response to a common failure to either identify or validate biologically driven causal genetic variants in genome-wide association studies. Adopting the idea that multiple rare variants may effectively produce a combined effect equal to a single common variant effect through common linkage with this variant, we construct a pathway-based genetic association analysis model using both common and rare variants. This genetic model is applied to the disease status of unrelated individuals in replication 1 from Genetic Analysis Workshop 17. In this simulated example, we were able to identify several pathways that were potentially associated with the disease status and found that common variants showed stronger genetic effect than rare variants.
机译:各种遗传效应如何共同影响对某些疾病状态的敏感性仍是方法学研究的主要领域。针对在全基因组关联研究中无法识别或验证生物驱动的因果遗传变异的常见失败,已经提出了各种稀有变异模型。通过采用多个稀有变体可以通过与该变体之间的共同链接而有效地产生等于单个共同变体效应的组合效应的想法,我们使用常见和稀有变体构建了基于途径的遗传关联分析模型。该遗传模型应用于遗传分析研讨会17中复制1的无关个体的疾病状态。在此模拟示例中,我们能够确定与疾病状态潜在相关的几种途径,并发现常见变异显示出更强的遗传效应比罕见的变体。

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