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唾液来源的 DNA 在大规模、高密度单核苷酸多态性微阵列研究中表现良好。

Saliva-derived DNA performs well in large-scale, high-density single-nucleotide polymorphism microarray studies.

机构信息

The Walter and Eliza Hall Institute of Medical Research, Parkville 3052, Victoria, Australia.

出版信息

Cancer Epidemiol Biomarkers Prev. 2010 Mar;19(3):794-8. doi: 10.1158/1055-9965.EPI-09-0812. Epub 2010 Mar 3.

Abstract

As of June 2009, 361 genome-wide association studies (GWAS) had been referenced by the HuGE database. GWAS require DNA from many thousands of individuals, relying on suitable DNA collections. We recently performed a multiple sclerosis (MS) GWAS where a substantial component of the cases (24%) had DNA derived from saliva. Genotyping was done on the Illumina genotyping platform using the Infinium Hap370CNV DUO microarray. Additionally, we genotyped 10 individuals in duplicate using both saliva- and blood-derived DNA. The performance of blood- versus saliva-derived DNA was compared using genotyping call rate, which reflects both the quantity and quality of genotyping per sample and the "GCScore," an Illumina genotyping quality score, which is a measure of DNA quality. We also compared genotype calls and GCScores for the 10 sample pairs. Call rates were assessed for each sample individually. For the GWAS samples, we compared data according to source of DNA and center of origin. We observed high concordance in genotyping quality and quantity between the paired samples and minimal loss of quality and quantity of DNA in the saliva samples in the large GWAS sample, with the blood samples showing greater variation between centers of origin. This large data set highlights the usefulness of saliva DNA for genotyping, especially in high-density single-nucleotide polymorphism microarray studies such as GWAS.

摘要

截至 2009 年 6 月,HuGE 数据库共引用了 361 项全基因组关联研究(GWAS)。GWAS 需要来自数千人的 DNA,依赖于合适的 DNA 收集。我们最近进行了一项多发性硬化症(MS)GWAS,其中 24%的病例(病例)的 DNA 来自唾液。基因分型是在 Illumina 基因分型平台上使用 Infinium Hap370CNV DUO 微阵列进行的。此外,我们使用唾液和血液衍生的 DNA 对 10 个个体进行了重复基因分型。使用基因分型调用率比较了血液与唾液衍生 DNA 的性能,这反映了每个样本的基因分型数量和质量,以及“GCScore”,这是一种衡量 DNA 质量的 Illumina 基因分型质量评分。我们还比较了 10 个样本对的基因型调用和 GCScores。对每个样本分别评估了调用率。对于 GWAS 样本,我们根据 DNA 的来源和起源中心比较了数据。我们观察到配对样本之间的基因分型质量和数量具有高度一致性,并且在大型 GWAS 样本中唾液样本的 DNA 质量和数量损失最小,而血液样本显示出起源中心之间更大的变异性。这个大型数据集突出了唾液 DNA 在基因分型中的有用性,特别是在 GWAS 等高密度单核苷酸多态性微阵列研究中。

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