衰老表型全基因组关联研究综述

王月清; 肖梦; 杨海铭; 宋明钰; 赵禹碹; 庞元捷; 高文静; 曹卫华; 黄涛; 余灿清; 吕筠; 李立明; 孙点剑一

Abstract

王月清,肖梦,杨海铭,宋明钰,赵禹碹,庞元捷,高文静,曹卫华,黄涛,余灿清,吕筠,李立明,孙点剑一.衰老表型全基因组关联研究综述[J].Chinese journal of Epidemiology,2022,43(8):1338-1342

衰老表型全基因组关联研究综述

Review of genome-wide association research of aging phenotypes

Received:November 09, 2021

DOI：10.3760/cma.j.cn112338-20211109-00867

KeyWord: 衰老全基因组关联研究单核苷酸多态性

English Key Word: Aging Genome-wide association study Single nucleotide polymorphism

FundProject:国家自然科学基金（81941018，82103920）；国家重点研发计划（2020YFC2003405）

Author Name	Affiliation	E-mail
Wang Yueqing	Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Xiao Meng	Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Yang Haiming	Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Song Mingyu	Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Zhao Yuxuan	Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Pang Yuanjie	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
Gao Wenjing	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
Cao Weihua	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
Huang Tao	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
Yu Canqing	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
Lyu Jun	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
Li Liming	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
Sun Dianjianyi	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	dsun1@bjmu.edu.cn

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Abstract:

《“健康中国2030”规划纲要》强调积极推动主动健康以应对人口老龄化挑战，对个体与群体层面的抗衰老预防控制策略提出更高要求。衰老受遗传因素和环境暴露的共同影响。近20年来，随着高通量遗传检测技术和相关算法的发展，以及高质量大规模人群基因组研究的开展，极大促进了对衰老遗传学的研究。本文旨在对衰老相关的全基因组关联研究展开概述。

English Abstract:

Active health has been emphasized in "Healthy China 2030" in dealing with the challenges of population aging, so the anti-aging strategies are requires to be more precise and effective at both individual and population levels. Aging is influenced by both genetic and environmental factors. In the recent 20 years, the research of genetics of human ageing has been greatly facilitated owning to the development of high-throughput sequencing techniques, statistical methodology for multi-omics data, as well as the growing qualified evidence of large-scale population-based genomic research. This paper provides a review of genome-wide association research of aging.

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