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Brain expression quantitative trait locus mapping informs genetic studies of psychiatric diseases

机译:脑表达定量特征位点作图可指导精神疾病的遗传研究

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摘要

Genome-wide association study (GWAS) can be used to identify genes that increase the risk of psychiatric diseases. However, much of the disease heritability is still unexplained, suggesting that there are genes to be discovered. Functional annotation of the genetic variants may increase the power of GWAS to identify disease genes, by providing prior information that can be used in Bayesian analysis or in reducing the number of tests. Expression quantitative trait loci (eQTLs) are genomic loci that regulate gene expression. Genetic mapping of eQTLs can help reveal novel functional effects of thousands of single nucleotide polymorphisms (SNPs). The present review mainly focused on the current knowledge on brain eQTL mapping, and discussed some major methodological issues and their possible solutions. The frequently ignored problems of batch effects, covariates, and multiple testing were emphasized, since they can lead to false positives and false negatives. The future application of eQTL data in GWAS analysis was also discussed.
机译:全基因组关联研究(GWAS)可用于鉴定增加精神疾病风险的基因。但是,许多疾病的遗传力仍无法解释,这表明有待发现的基因。通过提供可用于贝叶斯分析或减少测试数量的先验信息,遗传变异的功能注释可增强GWAS识别疾病基因的能力。表达定量性状基因座(eQTL)是调节基因表达的基因组基因座。 eQTL的遗传定位可以帮助揭示数千个单核苷酸多态性(SNP)的新颖功能作用。目前的审查主要集中在目前的大脑eQTL映射知识,并讨论了一些主要的方法学问题及其可能的解决方案。强调了批处理效果,协变量和多重测试中经常被忽略的问题,因为它们会导致假阳性和假阴性。还讨论了eQTL数据在GWAS分析中的未来应用。

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