Baird Paul N, Hysi Pirro
Department of Surgery, Ophthalmology, The University of Melbourne, Melbourne, Victoria, Australia.
Department of Ophthalmology, King's College London, St. Thomas' Hospital, London, UK.
Twin Res Hum Genet. 2019 Aug;22(4):201-209. doi: 10.1017/thg.2019.53. Epub 2019 Aug 19.
Twin registries have developed as a valuable resource for the study of many aspects of disease and society over the years in many different countries. A number of these registries include large numbers of twins with data collected at varying information levels for twin cohorts over the past several decades. More recent expansion of twin datasets has allowed for the collection of genetic data, together with many other levels of 'omic' information along with multiple demographic, physiological, health outcomes and other measures typically used in epidemiologic research. Other twin data sources outside these registries reflect research interests in particular aspects of disease or specific phenotypic assessment. Twin registries have the potential to play a key role in many aspects of the artificial intelligence/machine learning-driven projects of the future and will continue to keep adapting to the changing research landscape.
多年来，在许多不同国家，双胞胎登记处已发展成为研究疾病和社会诸多方面的宝贵资源。其中一些登记处包含大量双胞胎，在过去几十年里，针对双胞胎队列收集了不同信息层面的数据。最近双胞胎数据集的扩展使得遗传数据得以收集，同时还收集了许多其他层面的“组学”信息，以及多种人口统计学、生理学、健康结果和流行病学研究中通常使用的其他测量数据。这些登记处之外的其他双胞胎数据来源反映了对疾病特定方面或特定表型评估的研究兴趣。双胞胎登记处有可能在未来人工智能/机器学习驱动的项目的许多方面发挥关键作用，并将继续适应不断变化的研究格局。
