苏格兰一代:连接我们所有的记录

Archie Campbell, Robin Flaig, Cathie Sudlow
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 MethodsOriginal volunteers completed a demographic, health and lifestyle questionnaire, provided biological samples, and underwent detailed clinical assessment. The samples, phenotype and genotype data form a resource for research on the genetics of conditions of public health importance. This has become a longitudinal dataset by linkage to routine NHS hospital, maternity, lab test, prescriptions, dentistry, mortality, imaging, cancer screening, GP data records, Covid-19 testing and vaccinations, as well as follow-up questionnaires. The new wave of recruitment is all online and can be done on a smartphone, with DNA from saliva collected by post. Teenagers aged 12-15 can join with parental consent.
 Results GWAS has been done on quantitative traits and biomarkers, with DNA methylation data and proteomics available for most of the cohort. Our “CovidLife” surveys collected data on effects of the pandemic.
 Researchers can find prevalent and incident disease cases and controls, to test research hypotheses on a stratified population. They can also do targeted recruitment of participants to new studies, including recall by genotype. We have established and validated E-HR linkage with the NHS Scotland CHI Register,,overcoming technical and governance issues in the process. We contribute to major international consortia, with collaborators from institutions worldwide, both academic and commercial. Recruits are asked to give consent to linkage to other administrative data, and reuse of samples from routine NHS tests for medical research.
 Conclusion We plan to extend the linkage process to include other administrative data from national datasets as and when approvals are obtained. New types of data can also be collected by online questionnaires. The Research Tissue Bank resources are available to academic and commercial researchers through a managed access process.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Generation Scotland: Linking all the records we can\",\"authors\":\"Archie Campbell, Robin Flaig, Cathie Sudlow\",\"doi\":\"10.23889/ijpds.v8i2.2347\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ObjectivesWe started a family-based genetic epidemiology study in 2006-11 which recruited ~24,000 adult volunteers from ~7000 families across Scotland with consent for follow-up through medical record linkage and re-contact. In 2022-23 we are recruiting another 20,000, with consent extended to administrative records, with age range now 12+.
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摘要

目的我们于2006- 2011年开始了一项基于家庭的遗传流行病学研究,在苏格兰约7000个家庭中招募了约2.4万名成年志愿者,并同意通过医疗记录联系和再联系进行随访。在2022-23年,我们将再招聘2万名员工,年龄范围现在是12岁以上。方法原始志愿者填写人口统计、健康和生活方式问卷,提供生物样本,并进行详细的临床评估。样本、表型和基因型数据为研究具有公共卫生重要性的条件的遗传学提供了资源。通过与NHS常规医院、产科、实验室检查、处方、牙科、死亡率、成像、癌症筛查、全科医生数据记录、Covid-19检测和疫苗接种以及后续问卷的联系,这已成为一个纵向数据集。新一波的招聘都是在线的,可以在智能手机上完成,通过邮寄的方式从唾液中采集DNA。12-15岁的青少年可以在父母同意的情况下加入。结果GWAS已经完成了数量性状和生物标志物的研究,并获得了大多数队列的DNA甲基化数据和蛋白质组学数据。我们的“covid - life”调查收集了有关大流行影响的数据。研究人员可以找到流行的和偶发的疾病病例和对照,以在分层的人群中检验研究假设。他们还可以有针对性地招募新研究的参与者,包括按基因型召回。我们已经建立并验证了E-HR与NHS苏格兰CHI注册的联系,克服了过程中的技术和治理问题。我们与来自世界各地的学术和商业机构合作,为主要的国际联盟做出贡献。招募人员被要求同意与其他行政数据相关联,并同意将NHS常规检测的样本用于医学研究。 我们计划在获得批准时扩展链接过程,包括来自国家数据集的其他行政数据。新的数据类型也可以通过在线问卷收集。研究组织库的资源可通过管理访问过程提供给学术和商业研究人员。
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Generation Scotland: Linking all the records we can
ObjectivesWe started a family-based genetic epidemiology study in 2006-11 which recruited ~24,000 adult volunteers from ~7000 families across Scotland with consent for follow-up through medical record linkage and re-contact. In 2022-23 we are recruiting another 20,000, with consent extended to administrative records, with age range now 12+. MethodsOriginal volunteers completed a demographic, health and lifestyle questionnaire, provided biological samples, and underwent detailed clinical assessment. The samples, phenotype and genotype data form a resource for research on the genetics of conditions of public health importance. This has become a longitudinal dataset by linkage to routine NHS hospital, maternity, lab test, prescriptions, dentistry, mortality, imaging, cancer screening, GP data records, Covid-19 testing and vaccinations, as well as follow-up questionnaires. The new wave of recruitment is all online and can be done on a smartphone, with DNA from saliva collected by post. Teenagers aged 12-15 can join with parental consent. Results GWAS has been done on quantitative traits and biomarkers, with DNA methylation data and proteomics available for most of the cohort. Our “CovidLife” surveys collected data on effects of the pandemic. Researchers can find prevalent and incident disease cases and controls, to test research hypotheses on a stratified population. They can also do targeted recruitment of participants to new studies, including recall by genotype. We have established and validated E-HR linkage with the NHS Scotland CHI Register,,overcoming technical and governance issues in the process. We contribute to major international consortia, with collaborators from institutions worldwide, both academic and commercial. Recruits are asked to give consent to linkage to other administrative data, and reuse of samples from routine NHS tests for medical research. Conclusion We plan to extend the linkage process to include other administrative data from national datasets as and when approvals are obtained. New types of data can also be collected by online questionnaires. The Research Tissue Bank resources are available to academic and commercial researchers through a managed access process.
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