Luo Miyang, Tan Linda Wei Lin, Sim Xueling, Ng Milly Khiam Hoon, Van Dam Rob, Tai E Shyong, Chia Kee Seng, Tang Wern Ee, Seah Darren Ej, Venkataraman Kavita
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Division of Endocrinology, National University Hospital, Singapore.
BMJ Open. 2020 May 30;10(5):e036443. doi: 10.1136/bmjopen-2019-036443.
The diabetic cohort (DC) was set up to study the determinants of complications in individuals with type 2 diabetes and examine the role of genetic, physiological and lifestyle factors in the development of complications in these individuals.
A total of 14 033 adult participants with type 2 diabetes were recruited from multiple public sector polyclinics and hospital outpatient clinics in Singapore between November 2004 and November 2010. The first round of follow-up was conducted for 4131 participants between 2012 and 2016; the second round of follow-up started in 2016 and is expected to end in 2021. A questionnaire survey, physical assessments, blood and urine sample collection were conducted at recruitment and each follow-up visit. The data set also includes genetic data and linkage to medical and administrative records for recruited participants.
Data from the cohort have been used to identify determinants of diabetes and related complications. The longitudinal data of medical records have been used to analyse diabetes control over time and its related outcomes. The cohort has also contributed to the identification of genetic loci associated with type 2 diabetes and diabetic kidney disease in collaboration with other large cohort studies. About 25 scientific papers based on the DC data have been published up to May 2019.
The rich data in DC can be used for various types of research to study disease-related complications in patients with type 2 diabetes. We plan to further investigate disease progression and new biomarkers for common diabetic complications, including diabetic kidney disease and diabetic neuropathy.
设立糖尿病队列（DC）以研究2型糖尿病患者并发症的决定因素，并探讨遗传、生理和生活方式因素在这些患者并发症发生发展中的作用。
2004年11月至2010年11月期间，从新加坡多个公共部门综合诊所和医院门诊招募了总共14033名成年2型糖尿病患者。2012年至2016年对4131名参与者进行了第一轮随访；第二轮随访于2016年开始，预计于2021年结束。在招募时以及每次随访时进行问卷调查、身体评估、血液和尿液样本采集。数据集还包括招募参与者的遗传数据以及与医疗和行政记录的关联。
该队列的数据已用于确定糖尿病及相关并发症的决定因素。医疗记录的纵向数据已用于分析随时间推移的糖尿病控制情况及其相关结果。该队列还与其他大型队列研究合作，有助于识别与2型糖尿病和糖尿病肾病相关的基因位点。截至2019年5月，已发表了约25篇基于DC数据的科学论文。
DC中的丰富数据可用于各类研究，以研究2型糖尿病患者的疾病相关并发症。我们计划进一步研究疾病进展以及常见糖尿病并发症（包括糖尿病肾病和糖尿病神经病变）的新生物标志物。
