Using human genetics to understand the phenotypic association between chronotype and breast cancer

Author:

Wu Xueyao1ORCID,Yang Chao12,Zou Yanqiu1,Jones Samuel E.3,Zhao Xunying1,Zhang Li1,Han Zhitong4,Hao Yu1,Xiao Jinyu1,Xiao Chenghan5,Zhang Wenqiang1,Yan Peijing1,Cui Huijie1,Tang Mingshuang1,Wang Yutong1,Chen Lin1,Zhang Ling6,Yao Yuqin7,Liu Zhenmi5,Li Jiayuan1,Jiang Xia189,Zhang Ben1

Affiliation:

1. Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China‐PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital Sichuan University Chengdu China

2. Department of Epidemiology and Health Statistics, School of Public Health Southwest Medical University Luzhou China

3. Institute for Molecular Medicine, HiLIFE University of Helsinki Helsinki Finland

4. School of Life Sciences Sichuan University Chengdu China

5. Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital Sichuan University Chengdu China

6. Department of Iatrical Polymer Material and Artificial Apparatus, School of Polymer Science and Engineering Sichuan University Chengdu China

7. Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital Sichuan University Chengdu China

8. Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital Sichuan University Chengdu China

9. Department of Clinical Neuroscience, Center for Molecular Medicine Karolinska Institutet Stockholm Sweden

Abstract

SummaryLittle is known regarding the shared genetic influences underlying the observed phenotypic association between chronotype and breast cancer in women. Leveraging summary statistics from the hitherto largest genome‐wide association study conducted in each trait, we investigated the genetic correlation, pleiotropic loci, and causal relationship of chronotype with overall breast cancer, and with its subtypes defined by the status of oestrogen receptor. We identified a negative genomic correlation between chronotype and overall breast cancer ( = −0.06, p = 3.00 × 10−4), consistent across oestrogen receptor‐positive ( = −0.05, p = 3.30 × 10−3) and oestrogen receptor‐negative subtypes ( = −0.05, p = 1.11 × 10−2). Five specific genomic regions were further identified as contributing a significant local genetic correlation. Cross‐trait meta‐analysis identified 78 loci shared between chronotype and breast cancer, of which 23 were novel. Transcriptome‐wide association study revealed 13 shared genes, targeting tissues of the nervous, cardiovascular, digestive, and exocrine/endocrine systems. Mendelian randomisation demonstrated a significantly reduced risk of overall breast cancer (odds ratio 0.89, 95% confidence interval 0.83–0.94; p = 1.30 × 10−4) for genetically predicted morning chronotype. No reverse causality was found. Our work demonstrates an intrinsic link underlying chronotype and breast cancer, which may provide clues to inform management of sleep habits to improve female health.

Funder

Health Commission of Sichuan Province

National Key Research and Development Program of China

National Natural Science Foundation of China

Recruitment Program for Young Professionals

Publisher

Wiley

Subject

Behavioral Neuroscience,Cognitive Neuroscience,General Medicine

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