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首页> 外文期刊>BMC Medical Genomics >Disease-associated alleles in genome-wide association studies are enriched for derived low frequency alleles relative to HapMap and neutral expectations
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Disease-associated alleles in genome-wide association studies are enriched for derived low frequency alleles relative to HapMap and neutral expectations

机译:全基因组关联研究中与疾病相关的等位基因丰富了相对于HapMap和中性预期的衍生低频等位基因

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Background Genome-wide association studies give insight into the genetic basis of common diseases. An open question is whether the allele frequency distributions and ancestral vs. derived states of disease-associated alleles differ from the rest of the genome. Characteristics of disease-associated alleles can be used to increase the yield of future studies. Methods The set of all common disease-associated alleles found in genome-wide association studies prior to January 2010 was analyzed and compared with HapMap and theoretical null expectations. In addition, allele frequency distributions of different disease classes were assessed. Ages of HapMap and disease-associated alleles were also estimated. Results The allele frequency distribution of HapMap alleles was qualitatively similar to neutral expectations. However, disease-associated alleles were more likely to be low frequency derived alleles relative to null expectations. 43.7% of disease-associated alleles were ancestral alleles. The mean frequency of disease-associated alleles was less than randomly chosen CEU HapMap alleles (0.394 vs. 0.610, after accounting for probability of detection). Similar patterns were observed for the subset of disease-associated alleles that have been verified in multiple studies. SNPs implicated in genome-wide association studies were enriched for young SNPs compared to randomly selected HapMap loci. Odds ratios of disease-associated alleles tended to be less than 1.5 and varied by frequency, confirming previous studies. Conclusions Alleles associated with genetic disease differ from randomly selected HapMap alleles and neutral expectations. The evolutionary history of alleles (frequency and ancestral vs. derived state) influences whether they are implicated in genome-wide assocation studies.
机译:背景全基因组关联研究深入了解常见疾病的遗传基础。一个悬而未决的问题是与疾病相关的等位基因的等位基因频率分布和祖先状态与派生状态是否与其余基因组不同。与疾病相关的等位基因的特征可用于增加未来研究的产量。方法对2010年1月之前在全基因组关联研究中发现的所有常见疾病相关等位基因进行分析,并与HapMap和理论无效预期进行比较。此外,评估了不同疾病类别的等位基因频率分布。还估计了HapMap和疾病相关等位基因的年龄。结果HapMap等位基因的等位基因频率分布在质量上与中性预期相似。然而,与零期望相比,与疾病相关的等位基因更可能是低频衍生的等位基因。与疾病相关的等位基因中有43.7%是祖先等位基因。与疾病相关的等位基因的平均频率低于随机选择的CEU HapMap等位基因(考虑检测的可能性后为0.394比0.610)。对于疾病相关等位基因的子集,也观察到了相似的模式,该模式已在多项研究中得到证实。与随机选择的HapMap基因座相比,涉及全基因组关联研究的SNP富含年轻SNP。与疾病相关的等位基因的几率往往低于1.5,并且随频率而变化,这证实了先前的研究。结论与遗传疾病相关的等位基因不同于随机选择的HapMap等位基因和中性预期。等位基因的进化历史(频率和祖先相对于衍生状态)会影响它们是否参与全基因组关联研究。

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