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在多例自闭症家系的 GWAS 分析中,考虑性别差异可提高分析效能。

Allowing for sex differences increases power in a GWAS of multiplex Autism families.

机构信息

Department of Human Genetics, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA.

出版信息

Mol Psychiatry. 2012 Feb;17(2):215-22. doi: 10.1038/mp.2010.127. Epub 2010 Dec 14.

Abstract

Current genomewide association studies account for only a small fraction of the estimated heritabilities of genetically complex neuropsychiatric disorders, indicating they are likely to result from the small effects of numerous predisposing variants, many of which have gone undetected. The statistical power to detect associations of common variants with small effects is increased by conducting joint association tests of a single nucleotide polymorphism (SNP), an additional risk factor (F), and their interaction. F can represent an environmental exposure, another genotype or any source of genetic heterogeneity. In case and control studies, logistic regression makes joint tests straightforward. This analytic method cannot be employed directly when SNP transmission tests are used to detect associations in parent/affected child trios and multiplex families. However, the method can be implemented using the case/pseudocontrol approach. We applied this approach to analyze data from a genomewide association study of multiplex families ascertained for Autism Spectrum Disorder, where sex was used to define the F. Joint analyses revealed two associations exceeding genomewide significance. One novel gene, Ryandine Receptor 2, implicated in calcium channel defects, was identified with a joint P-value of 3.9E-11. Calcium channel defects have been connected to Autism spectrum disorder (ASD) by Timothy Syndrome, which is Mendelian, and a previous targeted sex-specific association analysis of idiopathic Autism. A second gene, uridine phosphorylase 2, with a joint P-value of 2.3E-9, has been previously linked and associated with Autism in independent samples. These findings highlight two Autism candidate genes for follow-up studies.

摘要

目前的全基因组关联研究仅解释了遗传复杂的神经精神疾病遗传率的一小部分,这表明它们可能是由许多未被发现的易感性变异的微小效应引起的。通过对单核苷酸多态性(SNP)、附加风险因素(F)及其相互作用进行联合关联测试,可以提高检测常见变异与小效应关联的统计能力。F 可以代表环境暴露、另一种基因型或任何遗传异质性的来源。在病例对照研究中,逻辑回归使得联合测试变得简单。当 SNP 传递测试用于检测父母/受影响的孩子三胞胎和多态家族中的关联时,不能直接使用这种分析方法。然而,可以使用病例/伪对照方法来实现该方法。我们应用该方法分析了自闭症谱系障碍的多态家族全基因组关联研究的数据,其中性别被用来定义 F。联合分析揭示了两个超过全基因组显著性的关联。一个新的基因 Ryandine Receptor 2,涉及钙通道缺陷,其联合 P 值为 3.9E-11。钙通道缺陷通过孟德尔的 Timothy 综合征和以前针对特发性自闭症的靶向性性别特异性关联分析与自闭症谱系障碍(ASD)有关。第二个基因 uridine phosphorylase 2,联合 P 值为 2.3E-9,之前已在独立样本中与自闭症相关联。这些发现突出了两个自闭症候选基因,以供后续研究。

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