International Agency for Research on Cancer, Lyon, France.
PLoS One. 2012;7(7):e39821. doi: 10.1371/journal.pone.0039821. Epub 2012 Jul 13.
The European Prospective Investigation into Cancer and nutrition (EPIC) is a long-term, multi-centric prospective study in Europe investigating the relationships between cancer and nutrition. This study has served as a basis for a number of Genome-Wide Association Studies (GWAS) and other types of genetic analyses. Over a period of 5 years, 52,256 EPIC DNA samples have been extracted using an automated DNA extraction platform. Here we have evaluated the pre-analytical factors affecting DNA yield, including anthropometric, epidemiological and technical factors such as center of subject recruitment, age, gender, body-mass index, disease case or control status, tobacco consumption, number of aliquots of buffy coat used for DNA extraction, extraction machine or procedure, DNA quantification method, degree of haemolysis and variations in the timing of sample processing. We show that the largest significant variations in DNA yield were observed with degree of haemolysis and with center of subject recruitment. Age, gender, body-mass index, cancer case or control status and tobacco consumption also significantly impacted DNA yield. Feedback from laboratories which have analyzed DNA with different SNP genotyping technologies demonstrate that the vast majority of samples (approximately 88%) performed adequately in different types of assays. To our knowledge this study is the largest to date to evaluate the sources of pre-analytical variations in DNA extracted from peripheral leucocytes. The results provide a strong evidence-based rationale for standardized recommendations on blood collection and processing protocols for large-scale genetic studies.
欧洲癌症与营养前瞻性调查(EPIC)是一项在欧洲进行的长期、多中心前瞻性研究,旨在调查癌症与营养之间的关系。该研究为许多全基因组关联研究(GWAS)和其他类型的遗传分析提供了基础。在 5 年的时间里,使用自动化 DNA 提取平台从 52256 个 EPIC DNA 样本中提取了 DNA。在这里,我们评估了影响 DNA 产量的分析前因素,包括人体测量学、流行病学和技术因素,如研究对象招募中心、年龄、性别、体重指数、疾病病例或对照状态、烟草使用、用于 DNA 提取的 buffy coat 等分样的数量、提取机器或程序、DNA 定量方法、溶血程度以及样品处理时间的变化。我们发现,DNA 产量最大的显著变化是与溶血程度和研究对象招募中心有关。年龄、性别、体重指数、癌症病例或对照状态和烟草使用也显著影响 DNA 产量。分析不同 SNP 基因分型技术的实验室的反馈表明,绝大多数样本(约 88%)在不同类型的检测中表现良好。据我们所知,这项研究是迄今为止评估从外周白细胞中提取的 DNA 分析前变异来源的最大研究。研究结果为大型遗传研究的血液采集和处理方案提供了强有力的基于证据的标准化建议。