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Automated validation of genetic variants from large databases: ensuring that variant references refer to the same genomic locations.

机译:大型数据库中遗传变异的自动验证:确保变异参考引用相同的基因组位置。

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SUMMARY: Accurate annotations of genomic variants are necessary to achieve full-genome clinical interpretations that are scientifically sound and medically relevant. Many disease associations, especially those reported before the completion of the HGP, are limited in applicability because of potential inconsistencies with our current standards for genomic coordinates, nomenclature and gene structure. In an effort to validate and link variants from the medical genetics literature to an unambiguous reference for each variant, we developed a software pipeline and reviewed 68 641 single amino acid mutations from Online Mendelian Inheritance in Man (OMIM), Human Gene Mutation Database (HGMD) and dbSNP. The frequency of unresolved mutation annotations varied widely among the databases, ranging from 4 to 23%. A taxonomy of primary causes for unresolved mutations was produced. AVAILABILITY: This program is freely available from the web site (http://safegene.hms.harvard.edu/aa2nt/).
机译:简介:基因组变体的准确注释对于实现科学合理且医学相关的全基因组临床解释是必需的。许多疾病协会,特别是在HGP完成之前报道的疾病协会,由于与我们当前的基因组坐标,命名法和基因结构标准潜在不一致,因此适用性受到限制。为了验证医学遗传学文献中的变体并将其链接到每个变体的明确参考上,我们开发了软件管道,并审查了来自人类在线孟德尔遗传(OMIM),人类基因突变数据库(HGMD)的68641个单氨基酸突变)和dbSNP。在数据库中,未解决的突变注释的频率差异很大,范围从4%到23%。产生了未解决突变的主要原因的分类法。可用性:该程序可从网站(http://safegene.hms.harvard.edu/aa2nt/)免费获得。

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