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A new perspective of integrative genome-wide association analysis considering trans eSNP effect

机译:考虑反式eSNP效应的全基因组整合关联分析的新视角

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Most loci discovered through genome-wide association analyses are predicted to affect gene expression, the integrative approach of genome-wide analysis with gene expression data is becoming essential procedure for discovering genetic effect of disease development. Many studies have been performed to discover significant SNP-gene associations, but most of them are limited to consider only cis-associations and neglect trans-territory. In this study, we explored the effect of trans-eSNP associations that may underlie the alternation of gene expressions. Through the integrative genome-wide association analysis considering the entire SNP-gene associations, we identified numerous trans associations which are significantly associated with gene expression, even more than cis associations in quantity and significance. Our findings revealed the necessity of reconsidering trans-association effect from integrative genome-wide association analysis and provided novel insights to find undiscovered genetic causalities.
机译:预测通过基因组范围的关联分析发现的大多数基因座会影响基因表达,将基因组范围的分析与基因表达数据整合在一起的方法正成为发现疾病发展的遗传效应的必不可少的程序。已经进行了许多研究来发现重要的SNP基因关联,但是大多数研究仅限于仅考虑顺式关联和忽略跨界。在这项研究中,我们探讨了反式eSNP关联的影响,这可能是基因表达交替的基础。通过考虑整个SNP基因关联的全基因组关联分析,我们确定了许多与基因表达显着相关的反式关联,其数量和意义甚至超过了顺式关联。我们的发现揭示了从整合的全基因组关联分析中重新考虑反式关联效应的必要性,并为发现未发现的遗传因果关系提供了新颖的见解。

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