老龄化纵向研究（NICOLA）北爱尔兰队列中的基线表观遗传时钟测量

摘要(中文译文)

DNA甲基化（DNAm）可因内在或外部暴露而发生动态变化。特征性甲基化谱与生物衰老加速及较差的健康结局相关。北爱尔兰老龄化纵向研究队列（NICOLA）中个体的CpG甲基化水平此前已基于Infinium MethylationEPIC芯片对基线血液来源DNA进行分型而生成。利用这些甲基化数据，在调整实际年龄和白细胞计数（CD8T、CD4T、自然杀伤细胞、B细胞、单核细胞和粒细胞）后，确定了表观遗传时钟指标。NICOLA研究在设计上旨在代表北爱尔兰第1波次的人群，并从北爱尔兰各地招募了8，283人。研究对象为50岁以上人群。其他家庭成员（配偶/伴侣）即使年龄低于50岁也可参与。2.3%的参与者年龄低于50岁。约50%的参与者年龄在50至65岁之间，10%的参与者年龄超过80岁。该数据集包含NICOLA队列中1，870名参与者（48%为男性）子集的表观遗传时钟指标，平均年龄为64.1 ± 9.37岁。生成了以下10种表观遗传时钟：（± PC）PhenoAge、（± PC）GrimAge、（± PC）Horvath1、（± PC）Hannum、PCDNAmTL和DunedinPACE。±PC表示是否进行主成分调整。本文档描述了NICOLA的表观遗传时钟数据集，其大小约为2.5Gb。

Abstract

DNA methylation (DNAm) can change dynamically in response to intrinsic or external exposures. Characteristic methylation profiles are associated with accelerated biological ageing and poorer health outcomes. CpG methylation levels for individuals within the Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA) were previously generated from baseline blood-derived DNA typed on the Infinium MethylationEPIC array. Harnessing this methylation data, epigenetic clock measures were determined, adjusting for chronological age and white blood cell count (CD8T, CD4T, Natural killer, B-cell, Monocytes and Granulocytes). The NICOLA study was designed to be representative of the Northern Ireland population at Wave 1 and involved the recruitment of 8,283 people from across Northern Ireland. Participants over the age of 50 were recruited. Other household members (spouses/partners) were allowed to take part, even if they were under the age of 50. 2.3% of participants were under the age of 50. Around 50% of participants were aged between 50 and 65, and 10% of participants were over the age of 80 years. This dataset includes epigenetic clock measures for a subset of 1,870 (48% male) participants within the NICOLA cohort, with a mean age of 64.1 ± 9.37 years. The following 10 epigenetic clocks were generated: (± PC)PhenoAge, (± PC)GrimAge, (± PC)Horvath1, (± PC)Hannum, PCDNAmTL and DunedinPACE. ±PC represents the presence or absence of principal component adjustment. This document describes NICOLA's epigenetic clock dataset, which is ~ 2.5Gb in size.

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