Novel Genetic Loci Associated with PhenoAge Acceleration - Changzhou City, Jiangsu Province, China, 2012-2019

Yifan Wang; Yue Jiang; Hui Wang; Shuang Liang; Muhammed Lamin Sambou; Mei Wang; Meiqi Yang; Yakubu Salimata; Feifei Xu; Chenjie Li; Xiao Wang; Junpeng Yang; Meng Zhu; Cheng Wang; Guangfu Jin; Hongxia Ma; Honggang Yi; Hongbing Shen; Juncheng Dai

doi:10.46234/ccdcw2024.258

Novel Genetic Loci Associated with PhenoAge Acceleration - Changzhou City, Jiangsu Province, China, 2012-2019

China CDC Wkly. 2024 Dec 6;6(49):1294-1298. doi: 10.46234/ccdcw2024.258.

Authors

Yifan Wang¹, Yue Jiang^{2

3}, Hui Wang⁴, Shuang Liang¹, Muhammed Lamin Sambou¹, Mei Wang¹, Meiqi Yang¹, Yakubu Salimata¹, Feifei Xu¹, Chenjie Li¹, Xiao Wang¹, Junpeng Yang⁵, Meng Zhu^{1

4}, Cheng Wang^{1

2

3

6}, Guangfu Jin^{1

2

3

4}, Hongxia Ma^{1

2

3

4}, Honggang Yi⁷, Hongbing Shen^{1

3

4

8}, Juncheng Dai^{1

2

4

9}

Affiliations

¹ Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China.
² State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing City, Jiangsu Province, China.
³ China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China.
⁴ State Key Lab of Cancer Biomarkers, Prevention and Treatment; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing City, Jiangsu Province, China.
⁵ The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
⁶ Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing City, Jiangsu Province, China.
⁷ Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China.
⁸ The Chinese Center for Disease Control and Prevention, Beijing, China.
⁹ Jiangsu Life and Health Industry Academician Collaborative Innovation Center, Nanjing City, Jiangsu Province, China.

Abstract

What is already known about this topic?: China is rapidly encountering population aging, yet studies on aging are limited by the traditional aging measure: chronological age, particularly in the field of genomics. Several promising aging measures have been proposed, but they lack comparative evaluation.

What is added by this report?: PhenoAge was identified as a measure of aging that demonstrated greater applicability in contemporary populations. Based on this, several novel genetic variants were found to enhance the predictive accuracy of aging.

What are the implications for public health practice?: These findings might provide new insights into aging and facilitate the development of a practical screening program based on PhenoAge, which aims to promote healthy aging in China.

Keywords: Biological Age; GWAS; Healthy Aging; PhenoAge.

Grants and funding

Supported by the National Natural Science Foundation of China (Grant ID: 81941020, 82192903, 82192904), the Science Fund for Distinguished Young Scholars of Jiangsu Province (BK20211533), the Natural Science Foundation of Jiangsu Province (BK20221183), and the Nanjing Medical Science and Technique Development Foundation (JQX18009). These supporting sources had no involvement and restrictions regarding the publication