Cohort Profile: Generation Scotland: Scottish Family Health Study (GS:SFHS). The study, its participants and their potential for genetic research on health and illness
Cohort Profile: Generation Scotland: Scottish Family Health Study (GS:SFHS). The study, its participants and their potential for genetic research on health and illness
复制标题
DOI：
10.1093/ije/dys084
复制
发表时间：
2013-06-01
影响因子：
7.7
通讯作者：
Morris, Andrew D.
中科院分区：
文献类型：
--
作者：
Smith, Blair H.;Campbell, Archie;Morris, Andrew D.
GS:SFHS是一项基于家庭的遗传流行病学研究，从2006年2月到2011年3月，来自苏格兰各地年龄在18-98岁之间的约24,000名志愿者的DNA和社会人口统计学和临床数据。生物样本和匿名数据构成了健康遗传学、疾病遗传学和对当前和预计的公共卫生重要性的数量特征研究的资源。GS的具体和重要特点：SFHS包括以家庭为基础的招聘，目的是获得家庭群体；表现型信息的广度和深度，包括认知功能、人格特征和心理健康的详细数据；将所有数据与全面的常规保健记录联系起来的同意和机制；参与者“广泛”同意将其数据和样本用于广泛的医学研究，包括商业研究，并为可能收集的其他数据或样本重新联系，或参与相关研究，并在对（潜在）参与者和研究成果使用者进行深入社会学研究的同时设计和审查议定书。这些功能旨在最大限度地发挥资源的力量，以识别、复制或控制与广泛疾病和风险因素相关的遗传因素，无论是现在还是将来。
GS:SFHS is a family-based genetic epidemiology study with DNA and socio-demographic and clinical data from about 24 000 volunteers across Scotland aged 18-98 years, from February 2006 to March 2011. Biological samples and anonymized data form a resource for research on the genetics of health, disease and quantitative traits of current and projected public health importance. Specific and important features of GS:SFHS include the family-based recruitment, with the intent of obtaining family groups; the breadth and depth of phenotype information, including detailed data on cognitive function, personality traits and mental health; consent and mechanisms for linkage of all data to comprehensive routine health-care records; and 'broad' consent from participants to use their data and samples for a wide range of medical research, including commercial research, and for re-contact for the potential collection of other data or samples, or for participation in related studies and the design and review of the protocol in parallel with in-depth sociological research on (potential) participants and users of the research outcomes. These features were designed to maximize the power of the resource to identify, replicate or control for genetic factors associated with a wide spectrum of illnesses and risk factors, both now and in the future.