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A comparison of cataloged variation between international HapMap consortium and 1000 genomes project data

机译:国际HapMap协会与1000个基因组计划数据之间的分类变异比较

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Background: Since publication of the human genome in 2003, geneticists have been interested in risk variant associations to resolve the etiology of traits and complex diseases. The International HapMap Consortium undertook an effort to catalog all common variation across the genome (variants with a minor allele frequency (MAF) of at least 5% in one or more ethnic groups). HapMap along with advances in genotyping technology led to genome-wide association studies which have identified common variants associated with many traits and diseases. In 2008 the 1000 Genomes Project aimed to sequence 2500 individuals and identify rare variants and 99% of variants with a MAF of <1%. Methods: To determine whether the 1000 Genomes Project includes all the variants in HapMap, we examined the overlap between single nucleotide polymorphisms (SNPs) genotyped in the two resources using merged phase II/III HapMap data and low coverage pilot data from 1000 Genomes. Results: Comparison of the two data sets showed that approximately 72% of HapMap SNPs were also found in 1000 Genomes Project pilot data. After filtering out HapMap variants with a MAF of <5% (separately for each population), 99% of HapMap SNPs were found in 1000 Genomes data. Conclusions: Not all variants cataloged in HapMap are also cataloged in 1000 Genomes. This could affect decisions about which resource to use for SNP queries, rare variant validation, or imputation. Both the HapMap and 1000 Genomes Project databases are useful resources for human genetics, but it is important to understand the assumptions made and filtering strategies employed by these projects.
机译:背景:自从2003年人类基因组发表以来,遗传学家一直对风险变异关联感兴趣,以解决特征和复杂疾病的病因。国际HapMap联盟致力于对基因组中的所有常见变异进行分类(在一个或多个种族中,次要等位基因频率(MAF)至少为5%的变异)。 HapMap与基因分型技术的进步一起导致了全基因组关联研究,该研究确定了与许多性状和疾病相关的常见变异。在2008年,“ 1000个基因组计划”旨在对2500个个体进行测序,并鉴定出MAF <1%的稀有变异和99%变异。方法:为了确定1000个基因组计划是否包括HapMap中的所有变体,我们使用II / III期HapMap合并数据和1000个基因组的低覆盖率试点数据检查了两种资源中基因型的单核苷酸多态性(SNP)之间的重叠。结果:两种数据集的比较表明,在1000个基因组计划的试验数据中也发现了约72%的HapMap SNP。过滤出MAF <5%的HapMap变异体(每个群体分别)后,在1000个基因组数据中发现了99%的HapMap SNP。结论:并非所有在HapMap中分类的变体都在1000个基因组中分类。这可能会影响有关用于SNP查询,罕见变体验证或估算的资源的决策。 HapMap数据库和1000个基因组计划数据库都是人类遗传学的有用资源,但是了解这些项目的假设和过滤策略非常重要。

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