KoMethylNet: a novel epigenetic clock based on neural network analysis of DNA methylation data and epigenetic age acceleration in a Korean population
We developed a neural network-based DNAm aging clock using Korean population data that enables precise age prediction and offers potential opportunities for advancing aging-related research in Korea.
Authors
- Xiaoxi Meng (ORCID: https://orcid.org/0000-0001-7217-2037)
- Nan Song (ORCID: https://orcid.org/0000-0002-9182-1060)
- Yong Min Ahn (ORCID: https://orcid.org/0000-0002-4458-797X)
- Hemang M. Parikh (ORCID: https://orcid.org/0000-0002-9076-6709)
- Dabin Yun
- Yujin Kim (ORCID: https://orcid.org/0000-0002-7186-221X)
- Zhaoming Wang (ORCID: https://orcid.org/0000-0001-7556-3869)
- Kwangyeon Oh
Institutions
- St. Jude Children's Research Hospital (US)
- Seoul National University (KR)
- Chungbuk National University (KR)
- University of South Florida (US)
- Samsung Medical Center (KR)
- Seoul National University Hospital (KR)
Publication Details
- Journal
- BMC Medicine
- Published
- 2025-12-03
- DOI
- https://doi.org/10.1186/s12916-025-04564-3
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 0.00