Review
Research progress on the epidemiological distribution and influencing factors of autosomal mosaic chromosomal alteration
Mingyu Song, Yuxuan Zhao, Yuting Han, Canqing Yu, Jun Lyu, Liming Li, Dianjianyi Sun
Published 2022-12-10
Cite as Chin J Epidemiol, 2022, 43(12): 2026-2029. DOI: 10.3760/cma.j.cn112338-20220715-00632
Abstract
Somatic mosaicism is defined as the occurrence and accumulation of somatic mutations in humans, and mosaic chromosomal alterations (mCA) are recognized as one of the aging phenotypes due to their impact on genome integrity. With the coming acceleration of global population aging, understanding the prevalence and influencing factors of mCA will help to explore the "genomic instability" of human aging and its biological mechanisms and provide the scientific basis for the primary prevention of age-related diseases. This review aims to summarize the epidemiological distribution and influencing factors of autosomal mCA in peripheral blood based on previous large-scale population-based studies.
Key words:
Somatic mosaicism; Mosaic chromosomal alteration; Ageing; Influencing factors
Contributor Information
Mingyu Song
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Yuxuan Zhao
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Yuting Han
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Canqing Yu
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Peking University Center for Public Health and Epidemic Preparedness &
Response, Beijing 100191, China
Jun Lyu
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Peking University Center for Public Health and Epidemic Preparedness &
Response, Beijing 100191, China
Liming Li
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Peking University Center for Public Health and Epidemic Preparedness &
Response, Beijing 100191, China
Dianjianyi Sun
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Peking University Center for Public Health and Epidemic Preparedness &
Response, Beijing 100191, China