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The first Irish genome and ways of improving sequence accuracy

机译:第一个爱尔兰基因组和提高序列准确性的方法

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摘要

Whole-genome sequencing of an Irish person revealshundreds of thousands of novel genomic variants.Imputation using previous known informationimproves the accuracy of low-read-depth sequencing. In the past 10 years, numerous human genomic variantshave been discovered and catalogued, mostly through theefforts of the International HapMap project and personalgenome studies [1]. Information on human genomicvariants may serve as a valuable resource for developingpersonalized medicine because some of these variantscould potentially predispose humans to complexdiseases. The 2009 version (version 130) of the dbSNPdatabase included approximately 13.9 million (13.9M)single nucleotide polymorphisms (SNPs) and 4.5M smallinsertions and deletions (indels). However, many issuesneed to be addressed before personalized medicinebecomes a reality. These include an understanding of: thekind and number of variants that exist in the entirehuman genome; the number of populations andindividuals needed to detect most, if not all, humangenomic variants with efficiency and accuracy; thefrequency of common and rare variants in an individualgenome; and finally the number of variants that influencehuman diseases.
机译:爱尔兰人的全基因组测序揭示了成千上万的新基因组变体。使用先前已知的信息进行Imputing可提高低读深度测序的准确性。在过去的10年中,已经通过国际HapMap项目和个人基因组研究的努力发现了许多人类基因组变异并进行了分类[1]。有关人类基因组变异的信息可能是开发个性化医学的宝贵资源,因为其中一些变异可能会使人类容易患上复杂疾病。 dbSNP数据库的2009年版本(版本130)包括大约1390万(13.9M)单核苷酸多态性(SNP)和450万个小插入和缺失(indels)。然而,在个性化医学成为现实之前,需要解决许多问题。这些包括对整个人类基因组中存在的变体的种类和数量的了解;有效和准确地检测大多数(如果不是全部)人类基因组变体所需的种群和个体的数量;单个基因组中常见和罕见变体的频率;最后是影响人类疾病的变体的数量。

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