Annotation of functional variation in personal genomes using RegulomeDB.

Annotation of functional variation in personal genomes using RegulomeDB.
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DOI:
10.1101/gr.137323.112
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发表时间:
2012-09
期刊:
影响因子:
7
通讯作者:
Snyder M
Snyder M
中科院分区:
生物学1区
文献类型:
--
作者:
Boyle AP;Hong EL;Hariharan M;Cheng Y;Schaub MA;Kasowski M;Karczewski KJ;Park J;Hitz BC;Weng S;Cherry JM;Snyder M

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随着健康和疾病基因组的测序变得越来越普遍,详细的注释为负责正常和疾病表型的个体变异提供了解释。目前的方法集中在蛋白质编码基因的直接变化,特别是直接影响基因产物的非同义突变。然而,大多数个体变异发生在基因之外,事实上,全基因组关联研究(GWAS)产生的大多数标记识别编码片段之外的变异。识别潜在的监管变化,扰乱这些网站将导致更好地定位真正的功能性变异和解释其影响。我们已经开发了一种新的方法和数据库,RegulomeDB,它指导人类基因组中调控变体的解释。RegulomeDB包括来自ENCODE和其他来源的高通量实验数据集,以及计算预测和手动注释,以识别推定的调控潜力和识别功能变体。这些数据源被组合成一个强大的工具,该工具对变体进行评分,以帮助将功能变体从大的池中分离出来,并提供一小组具有可测试假设的推定位点。我们证明了该工具的适用性,从69个完整测序的基因组以及个人基因组,其中数千个功能相关的变异被确定的非编码变异的注释。此外,我们展示了一个GWAS,其中数据库能够快速识别已知的相关功能变体,并提供其功能的假设。总的来说,我们希望这种方法和资源是有价值的人类基因组序列的注释。
As the sequencing of healthy and disease genomes becomes more commonplace, detailed annotation provides interpretation for individual variation responsible for normal and disease phenotypes. Current approaches focus on direct changes in protein coding genes, particularly nonsynonymous mutations that directly affect the gene product. However, most individual variation occurs outside of genes and, indeed, most markers generated from genome-wide association studies (GWAS) identify variants outside of coding segments. Identification of potential regulatory changes that perturb these sites will lead to a better localization of truly functional variants and interpretation of their effects. We have developed a novel approach and database, RegulomeDB, which guides interpretation of regulatory variants in the human genome. RegulomeDB includes high-throughput, experimental data sets from ENCODE and other sources, as well as computational predictions and manual annotations to identify putative regulatory potential and identify functional variants. These data sources are combined into a powerful tool that scores variants to help separate functional variants from a large pool and provides a small set of putative sites with testable hypotheses as to their function. We demonstrate the applicability of this tool to the annotation of noncoding variants from 69 full sequenced genomes as well as that of a personal genome, where thousands of functionally associated variants were identified. Moreover, we demonstrate a GWAS where the database is able to quickly identify the known associated functional variant and provide a hypothesis as to its function. Overall, we expect this approach and resource to be valuable for the annotation of human genome sequences.
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