Longitudinal Profiling of DNA Methylation Reveals Age-Varying CpG Sites and Novel Insights Into Aging Heterogeneity.
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| Title: | Longitudinal Profiling of DNA Methylation Reveals Age-Varying CpG Sites and Novel Insights Into Aging Heterogeneity. |
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| Authors: | Jia X; Center for Clinical Big Data and Analytics Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China., Chen H; Center for Clinical Big Data and Analytics Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China., Zhang L; Center for Clinical Big Data and Analytics Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.; Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, USA., Zhang J; Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, Hangzhou, Zhejiang, China., Zheng Y; Center for Clinical Big Data and Analytics Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China., Wu W; Human Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China.; Fudan University-The People's Hospital of Rugao Joint Research Institute of Longevity and Ageing, Rugao, Jiangsu, China., Sun X; Human Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China.; Fudan University-The People's Hospital of Rugao Joint Research Institute of Longevity and Ageing, Rugao, Jiangsu, China., Jiang X; Key Laboratory of Arrhythmias, Ministry of Education, Department of Pathology and Pathophysiology, School of Medicine, Tongji University, Shanghai, China., Yao Y; Department of Biostatistics and Computational Biology, School of Life Sciences, Fudan University, Shanghai, China., Jin L; State Key Laboratory of Genetic Engineering, Human Phenome Institute, Center for Evolutionary Biology, and School of Life Sciences, Fudan University, Shanghai, China., Wang X; Human Phenome Institute, Fudan University, Shanghai, China.; National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.; State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China., Liu Z; Center for Clinical Big Data and Analytics Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. |
| Source: | Aging cell [Aging Cell] 2026 Jan; Vol. 25 (1), pp. e70362. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 101130839 Publication Model: Print Cited Medium: Internet ISSN: 1474-9726 (Electronic) Linking ISSN: 14749718 NLM ISO Abbreviation: Aging Cell Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1474-9726 |
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| DOI: | 10.1111/acel.70362 |
