University of Washington Twin Registry: poised for the next generation of twin research.

University of Washington Twin Registry: poised for the next generation of twin research.
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DOI:
10.1017/thg.2012.124
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发表时间:
2013-02
期刊:
Twin research and human genetics : the official journal of the International Society for Twin Studies
影响因子:
--
通讯作者:
Buchwald D
Buchwald D
中科院分区:
其他
文献类型:
--
作者:
Strachan E;Hunt C;Afari N;Duncan G;Noonan C;Schur E;Watson N;Goldberg J;Buchwald D

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华盛顿大学双胞胎登记处是一个独特的基于社区的双胞胎登记处,他们专门参加科学研究。它成立于2002年,作为整个科学界研究人员的资源。目前的入学人数超过7,200对,计划到2015年将入学人数增加到10,000对。除了作为新研究的招募基地外,该登记处还保持着广泛和不断扩大的身心健康调查数据,以及一个生物储存库,其中包括来自8,800多对双胞胎的DNA。该登记处致力于将会员数据与出生记录以及向华盛顿州会员提供的医院护理的诊断和程序变量联系起来。它还纳入了与建筑和社会环境相关的几个创新变量,这些变量是通过对双地址进行地理编码并将生成的坐标链接到地理空间信息系统数据库而创建的。这种现有数据和生物标本的结合,表征了一组愿意参与研究的双胞胎,是新一波双胞胎研究的宝贵资源。这些包括“组学”,表观遗传学,基因与环境的相互作用,以及其他了解人类健康的新方法。
The University of Washington Twin Registry is a unique community-based registry of twin pairs who join specifically to participate in scientific research. It was founded in 2002 to serve as a resource for investigators throughout the scientific community. Current enrollment exceeds 7,200 pairs, and plans are in place to increase enrollment to 10,000 pairs by 2015. In addition to serving as a recruitment base for new research studies, the registry maintains extensive and continually expanding survey data on physical and mental health, as well as a biorepository that includes DNA from more than 8,800 individual twins. The registry is engaged in linking member data to birth records and to diagnostic and procedure variables for hospital-based care provided to members in Washington State. It also incorporates several innovative variables relevant to the built and social environments, which were created by geocoding twin addresses and linking the resulting coordinates to geospatial information systems databases. This combination of existing data and biospecimens, characterizing a group of twins who are willing to participate in research, is a valuable resource for the new wave of twin studies. These include ‘omics’, epigenetics, gene-by-environment interactions, and other novel methods to understand human health.