Impact of accelerated biological aging and genetic variation on esophageal adenocarcinoma: Joint and interaction effect in a prospective cohort

Author:

Zhao Renjia1,Yuan Huangbo1,Chen Shuaizhou2,Xu Kelin34,Zhang Tiejun245,Liu Zhenqiu14ORCID,Jiang Yanfeng14,Suo Chen245ORCID,Chen Xingdong1467ORCID

Affiliation:

1. State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and School of Life Science Fudan University Shanghai China

2. Department of Epidemiology, School of Public Health Fudan University Shanghai China

3. Department of Biostatistics, School of Public Health Fudan University Shanghai China

4. Fudan University Taizhou Institute of Health Sciences Taizhou China

5. Shanghai Institute of Infectious Disease and Biosecurity Shanghai China

6. Yiwu Research Institute of Fudan University Yiwu China

7. National Clinical Research Center for Aging and Medicine Huashan Hospital, Fudan University Shanghai China

Abstract

AbstractAccelerated biological aging may be associated with increased risk of esophageal adenocarcinoma (EAC). However, its relationship with genetic variation, and its effect on improving risk population stratification, remains unknown. We performed an exposome association study to determine potential associated factors associated with EAC. To quantify biological age and its difference from chronological age, we calculated the BioAge10 and Biological Age Acceleration (BioAgeAccel) based on chronological age and nine biomarkers. Multivariable Cox regression models for 362,310 participants from the UK Biobank with a median follow‐up of 13.70 years were performed. We established a weighted polygenic risk score (wPRS) associated with EAC, to assess joint and interaction effects with BioAgeAccel. Four indicators were used to evaluate their interaction effects, and we fitted curves to evaluate the risk stratification ability of BioAgeAccel. Compared with biologically younger participants, those older had higher risk of EAC, with adjusted HR of 1.79 (95%CI: 1.52–2.10). Compared with low wPRS and biologically younger group, the high wPRS and biologically older group had a 4.30‐fold increase in HR (95% CI: 2.78–6.66), at meanwhile, 1.15‐fold relative excess risk was detected (95% CI: 0.30–2.75), and 22% of the overall EAC risk was attributable to the interactive effects (95% CI: 12%–31%). The 10‐year absolute incidence risk indicates that biologically older individuals should begin screening procedures 4.18 years in advance, while youngers can postpone screening by 4.96 years, compared with general population. BioAgeAccel interacted positively with genetic variation and increased risk of EAC, it could serve as a novel indicator for predicting incidence.

Funder

National Key Research and Development Program of China

Publisher

Wiley

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