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Huang YX, Wu JH, Zhao YQ, Sui WN, Tian T, Han WX, Ni J. An atlas on risk factors for gastrointestinal cancers: A systematic review of Mendelian randomization studies. Prev Med 2024; 189:108147. [PMID: 39368643 DOI: 10.1016/j.ypmed.2024.108147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 09/27/2024] [Accepted: 09/28/2024] [Indexed: 10/07/2024]
Abstract
OBJECTIVE Gastrointestinal cancers are one of the most frequent cancer types and seriously threaten human life and health. Recent studies attribute the occurrence of gastrointestinal cancers to both genetic and environmental factors, yet the intrinsic etiology remains unclear. Mendelian randomization is a powerful well-established statistical method that is based on genome-wide association study (GWAS) to evaluate the causal relationship between exposures and outcomes. In the present study, we aimed to conduct a systematic review of Mendelian randomization studies investigating any causal risk factors for gastrointestinal cancers. METHODS We systematically searched Mendelian randomization studies that addressed the associations of genetically predicted exposures with five main gastrointestinal cancers from September 2014 to March 2024, as well as testing the research quality and validity. RESULTS Our findings suggested robust and consistent causal effects of body mass index (BMI), basal metabolic rate, fatty acids, total cholesterol, total bilirubin, insulin like growth factor-1, eosinophil counts, interleukin 2, alcohol consumption, coffee consumption, apolipoprotein B on colorectal cancer risks, BMI, waist circumference, low-density lipoprotein (LDL), total testosterone, smoking on gastric cancer risks, BMI, fasting insulin, LDL, waist circumference, visceral adipose tissue (VAT), immune cells, type 2 diabetes mellitus (T2DM) on pancreatic cancer risks, waist circumference, smoking, T2DM on esophageal adenocarcinoma risks, and VAT, ferritin, transferrin, alcohol consumption, hepatitis B virus infection, rheumatoid arthritis on liver cancer risks, respectively. CONCLUSION Larger, well-designed Mendelian randomization studies are practical in determining the causal status of risk factors for diseases.
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Affiliation(s)
- Yi-Xuan Huang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, China; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Jun-Hua Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Yu-Qiang Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Wan-Nian Sui
- Department of Gastrointestinal Surgery, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Tian Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Wen-Xiu Han
- Department of Gastrointestinal Surgery, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
| | - Jing Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
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Ding Q, Herrin J, Kryger M. Sex-specific associations between habitual snoring and cancer prevalence: insights from a US Cohort Study. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2024; 5:zpae051. [PMID: 39156215 PMCID: PMC11329803 DOI: 10.1093/sleepadvances/zpae051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 07/01/2024] [Indexed: 08/20/2024]
Abstract
Study Objectives To investigate the sex-specific association between habitual snoring and overall cancer prevalence and subtypes, and to examine the influence of age, body mass index (BMI), and sleep duration on this association. Methods This study utilized data from the National Health and Nutrition Examination Survey cycles between 2005 and 2020 and included 15 892 participants aged 18 and over. We employed inverse probability of treatment weighting based on propensity scores to adjust for confounders when comparing the prevalence of cancer between habitual snorers and non-habitual snorers for each sex and cancer type. Subgroup analyses were conducted based on sleep duration, age, and BMI categories. Results The cohort (mean age 48.2 years, 50.4% female, and 30.5% habitual snorers) reported 1385 cancer cases. In men, habitual snoring was linked to 26% lower odds of any cancer (OR 0.74, 95% CI: 0.66 to 0.83), while in women, it showed no significant difference except lower odds of breast cancer (OR 0.77, 95% CI: 0.63 to 0.94) and higher odds of cervix cancer (OR 1.54, 95% CI: 1.18 to 2.01). Age and sleep duration significantly influenced the snoring-cancer relationship, with notable variations by cancer type and sex. Conclusions Habitual snoring exhibits sex-specific associations with cancer prevalence, showing lower prevalence in men and varied results in women. These findings emphasize the critical need for further research to uncover the biological mechanisms involved. Future investigations should consider integrating sleep characteristics with cancer prevention and screening strategies, focusing on longitudinal research and the integration of genetic and biomarker analyses to fully understand these complex relationships.
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Affiliation(s)
- Qinglan Ding
- College of Health and Human Sciences, Purdue University, West Lafayette, IN, USA
| | - Jeph Herrin
- Division of Cardiology, Yale School of Medicine, New Haven, CT, USA
| | - Meir Kryger
- Division of Pulmonary, Critical Care & Sleep Medicine, Yale School of Medicine, New Haven, CT, USA
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Ren F, Yang C, Feng K, Shang Q, Liu J, Kang X, Wang X, Wang X. An exploration of causal relationships between nine neurological diseases and the risk of breast cancer: a Mendelian randomization study. Aging (Albany NY) 2024; 16:7101-7118. [PMID: 38663930 PMCID: PMC11087125 DOI: 10.18632/aging.205745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 03/18/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND Some preceding researches have observed that certain neurological disorders, such as Alzheimer's disease and multiple sclerosis, may affect breast cancer risk. However, whether there are causal relationships between these neurological conditions and breast cancer is inconclusive. This study was designed to explore whether neurological disorders affected the risks of breast cancer overall and of the two subtypes (ER+ and ER-). METHODS In the course of this study, genome-wide association study (GWAS) data for nine neurological diseases (Alzheimer's disease, multiple sclerosis, Parkinson's disease, myasthenia gravis, generalized epilepsy, intracerebral haemorrhage, cerebral atherosclerosis, brain glioblastoma, and benign meningeal tumour) were collected from the Complex Trait Genetics lab and the MRC Integrative Epidemiology Unit, and single-nucleotide polymorphisms (SNPs) extensively associated with these neurological ailments had been recognized as instrumental variables (IVs). GWAS data on breast cancer were collected from the Breast Cancer Association Consortium (BCAC). Two-sample Mendelian randomization (MR) analyses as well as multivariable MR analyses were performed to determine whether these SNPs contributed to breast cancer risk. Additionally, the accuracy of the results was evaluated using the false discovery rate (FDR) multiple correction method. Both heterogeneity and pleiotropy were evaluated by analyzing sensitivities. RESULTS According to the results of two-sample MR analyses, Alzheimer's disease significantly reduced the risks of overall (OR 0.925, 95% CI [0.871-0.982], P = 0.011) and ER+ (OR 0.912, 95% CI [0.853-0.975], P = 0.007) breast cancer, but there was a negative result in ER- breast cancer. However, after multiple FDR corrections, the effect of Alzheimer's disease on overall breast cancer was not statistically significant. In contrast, multiple sclerosis significantly increased ER+ breast cancer risk (OR 1.007, 95% CI [1.003-1.011], P = 0.001). In addition, the multivariable MR analyses showed that Alzheimer's disease significantly reduced the risk of ER+ breast cancer (IVW: OR 0.929, 95% CI [0.864-0.999], P=0.047; MR-Egger: OR 0.916, 95% CI [0.846-0.992], P=0.031); however, multiple sclerosis significantly increased the risk of ER+ breast cancer (IVW: OR 1.008, 95% CI [1.003-1.012], P=4.35×10-4; MR-Egger: OR 1.008, 95% CI [1.003-1.012], P=5.96×10-4). There were no significant associations between the remainder of the neurological diseases and breast cancer. CONCLUSIONS This study found the trends towards a decreased risk of ER+ breast cancer in patients with Alzheimer's disease and an increased risk in patients with multiple sclerosis. However, due to the limitations of Mendelian randomization, we cannot determine whether there are definite causal relationships between neurological diseases and breast cancer risk. For conclusive evidences, more prospective randomized controlled trials will be needed in the future.
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Affiliation(s)
- Fei Ren
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Chenxuan Yang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Kexin Feng
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Qingyao Shang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jiaxiang Liu
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xiyu Kang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xin Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xiang Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Freeman JR, Saint-Maurice PF, Zhang T, Matthews CE, Stolzenberg-Solomon RZ. Sleep and Risk of Pancreatic Cancer in the UK Biobank. Cancer Epidemiol Biomarkers Prev 2024; 33:624-627. [PMID: 38387085 PMCID: PMC10990775 DOI: 10.1158/1055-9965.epi-23-0983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/05/2023] [Accepted: 02/07/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Light at night, which may cause circadian disruption, is a potential pancreatic cancer risk factor. However, evidence from related exposures such as poor sleep health and shift work remains inconclusive and sparsely investigated. METHODS We evaluated associations between self-reported typical sleep duration, chronotype, shift work, insomnia symptoms, snoring, and daytime sleeping and pancreatic ductal adenocarcinomas (PDAC) incidence among 475,286 UK Biobank participants. We used Cox proportional hazards models to estimate HRs and 95% confidence intervals (CI) adjusting for age, sex, body mass index, smoking status, duration, and frequency, alcohol intake, diabetes status, race, and employment/shift work. RESULTS Over 14 years of follow-up, 1,079 adults were diagnosed with PDAC. There were no associations observed between sleep characteristics, including sleep duration [<7 vs. 7-<9 hours; HR, 1.03; 95% CI, 0.90-1.19; ≥9 hours; HR, 1.00 (0.81-1.24), evening chronotype ("definitely" an evening person vs. "definitely" a morning person; HR, 0.99 (0.77-1.29)], shift work, insomnia symptoms, snoring, or daytime sleep and PDAC risk. CONCLUSIONS Self-reported typical sleep characteristics and shift work were not associated with PDAC risk. IMPACT Considering the role of light at night and shift work in circadian disruption and cancer risk, it is plausible that poor sleep health among a general population may be related to cancer risk through similar sleep and circadian disrupting processes. This work may suggest that typical sleep characteristics and shift work are not associated with PDAC, although additional work is needed to confirm these findings.
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Affiliation(s)
- Joshua R. Freeman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Pedro F. Saint-Maurice
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Breast Cancer Unit, Champalimaud Foundation, Lisbon, Portugal
| | - Ting Zhang
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Charles E. Matthews
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Rachael Z. Stolzenberg-Solomon
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
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Li T, Jiang Y, Bai Y, Jiang K, Du G, Chen P, Luo C, Li L, Qiao J, Shen J. A review for the impacts of circadian disturbance on urological cancers. Sleep Biol Rhythms 2024; 22:163-180. [PMID: 38524168 PMCID: PMC10959858 DOI: 10.1007/s41105-023-00500-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 10/18/2023] [Indexed: 03/26/2024]
Abstract
Circadian rhythm is an internal timing system and harmonizes a variety of cellular, behavioral, and physiological processes to daily environment. Circadian disturbance caused by altered life style or disrupted sleep patterns inevitably contributes to various disorders. As the rapidly increased cancer occurrences and subsequent tremendous financial burdens, more researches focus on reducing the morbidity rather than treating it. Recently, many epidemiologic studies demonstrated that circadian disturbance was tightly related to the occurrence and development of cancers. For urinary system, numerous clinical researches observed the incidence and progress of prostate cancer were influenced by nightshift work, sleep duration, chronotypes, light exposure, and meal timing, this was also proved by many genetic and fundamental findings. Although the epidemiological studies regarding the relationship between circadian disturbance and kidney/bladder cancers were relative limited, some basic researches still claimed circadian disruption was closely correlated to these two cancers. The role of circadian chemotherapy on cancers of prostate, kidney, and bladder were also explored, however, it has not been regularly recommended considering the limited evidence and poor standard protocols. Finally, the researches for the impacts of circadian disturbance on cancers of adrenal gland, penis, testis were not found at present. In general, a better understanding the relationship between circadian disturbance and urological cancers might help to provide more scientific work schedules and rational lifestyles which finally saving health resource by reducing urological tumorigenesis, however, the underlying mechanisms are complex which need further exploration.
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Affiliation(s)
- Tao Li
- Department of Urology, Affiliated Hospital of Guizhou Medical University, Guiyang, China
- Department of Urology, Guizhou Provincial People’s Hospital, Guiyang, China
| | - Yiting Jiang
- Department of Otorhinolaryngology, The Ninth People’s Hospital of Chongqing, Chongqing, China
| | - Yunjin Bai
- Department of Urology and Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Kehua Jiang
- Department of Urology, Guizhou Provincial People’s Hospital, Guiyang, China
| | - Guangshi Du
- Translational Medicine Research Center of Guizhou Medical University, Guiyang, China
| | - Peng Chen
- Department of Urology, Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Chao Luo
- Department of Urology, Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Lei Li
- Gastrointestinal Surgery Center, School of Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China
| | - Jun Qiao
- Department of Urology, Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Jun Shen
- Department of Urology, Affiliated Hospital of Guizhou Medical University, Guiyang, China
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Cui H, Zhang W, Zhang L, Qu Y, Xu Z, Tan Z, Yan P, Tang M, Yang C, Wang Y, Chen L, Xiao C, Zou Y, Liu Y, Zhang L, Yang Y, Yao Y, Li J, Liu Z, Yang C, Jiang X, Zhang B. Risk factors for prostate cancer: An umbrella review of prospective observational studies and mendelian randomization analyses. PLoS Med 2024; 21:e1004362. [PMID: 38489391 PMCID: PMC10980219 DOI: 10.1371/journal.pmed.1004362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 03/29/2024] [Accepted: 02/16/2024] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND The incidence of prostate cancer is increasing in older males globally. Age, ethnicity, and family history are identified as the well-known risk factors for prostate cancer, but few modifiable factors have been firmly established. The objective of this study was to identify and evaluate various factors modifying the risk of prostate cancer reported in meta-analyses of prospective observational studies and mendelian randomization (MR) analyses. METHODS AND FINDINGS We searched PubMed, Embase, and Web of Science from the inception to January 10, 2022, updated on September 9, 2023, to identify meta-analyses and MR studies on prostate cancer. Eligibility criteria for meta-analyses were (1) meta-analyses including prospective observational studies or studies that declared outcome-free at baseline; (2) evaluating the factors of any category associated with prostate cancer incidence; and (3) providing effect estimates for further data synthesis. Similar criteria were applied to MR studies. Meta-analysis was repeated using the random-effects inverse-variance model with DerSimonian-Laird method. Quality assessment was then conducted for included meta-analyses using AMSTAR-2 tool and for MR studies using STROBE-MR and assumption evaluation. Subsequent evidence grading criteria for significant associations in meta-analyses contained sample size, P values and 95% confidence intervals, 95% prediction intervals, heterogeneity, and publication bias, assigning 4 evidence grades (convincing, highly suggestive, suggestive, or weak). Significant associations in MR studies were graded as robust, probable, suggestive, or insufficient considering P values and concordance of effect directions. Finally, 92 selected from 411 meta-analyses and 64 selected from 118 MR studies were included after excluding the overlapping and outdated studies which were published earlier and contained fewer participants or fewer instrument variables for the same exposure. In total, 123 observational associations (45 significant and 78 null) and 145 causal associations (55 significant and 90 null) were categorized into lifestyle; diet and nutrition; anthropometric indices; biomarkers; clinical variables, diseases, and treatments; and environmental factors. Concerning evidence grading on significant associations, there were 5 highly suggestive, 36 suggestive, and 4 weak associations in meta-analyses, and 10 robust, 24 probable, 4 suggestive, and 17 insufficient causal associations in MR studies. Twenty-six overlapping factors between meta-analyses and MR studies were identified, with consistent significant effects found for physical activity (PA) (occupational PA in meta: OR = 0.87, 95% CI: 0.80, 0.94; accelerator-measured PA in MR: OR = 0.49, 95% CI: 0.33, 0.72), height (meta: OR = 1.09, 95% CI: 1.06, 1.12; MR: OR = 1.07, 95% CI: 1.01, 1.15, for aggressive prostate cancer), and smoking (current smoking in meta: OR = 0.74, 95% CI: 0.68, 0.80; smoking initiation in MR: OR = 0.91, 95% CI: 0.86, 0.97). Methodological limitation is that the evidence grading criteria could be expanded by considering more indices. CONCLUSIONS In this large-scale study, we summarized the associations of various factors with prostate cancer risk and provided comparisons between observational associations by meta-analysis and genetically estimated causality by MR analyses. In the absence of convincing overlapping evidence based on the existing literature, no robust associations were identified, but some effects were observed for height, physical activity, and smoking.
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Affiliation(s)
- Huijie Cui
- 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, Sichuan, China
| | - Wenqiang Zhang
- 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, Sichuan, China
| | - Li Zhang
- 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, Sichuan, China
| | - Yang Qu
- 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, Sichuan, China
| | - Zhengxing Xu
- 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, Sichuan, China
| | - Zhixin Tan
- 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, Sichuan, China
| | - Peijing Yan
- 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, Sichuan, China
| | - Mingshuang Tang
- 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, Sichuan, China
| | - Chao Yang
- 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, Sichuan, China
| | - Yutong Wang
- 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, Sichuan, China
| | - Lin Chen
- 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, Sichuan, China
| | - Chenghan Xiao
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yanqiu Zou
- 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, Sichuan, China
| | - Yunjie Liu
- 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, Sichuan, China
| | - Ling Zhang
- Department of Iatrical Polymer Material and Artificial Apparatus, School of Polymer Science and Engineering, Sichuan University, Chengdu, China
| | - Yanfang Yang
- 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, Sichuan, China
| | - Yuqin Yao
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiayuan Li
- 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, Sichuan, China
| | - Zhenmi Liu
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chunxia Yang
- 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, Sichuan, China
| | - Xia Jiang
- 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, Sichuan, China
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Ben Zhang
- Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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7
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Liu C, Zhang Q, Liu C, Liu T, Song M, Zhang Q, Xie H, Lin S, Ren J, Chen Y, Zheng X, Shi J, Deng L, Shi H, Wu S. Age Differences in the Association of Sleep Duration Trajectory With Cancer Risk and Cancer-Specific Mortality: Prospective Cohort Study. JMIR Public Health Surveill 2024; 10:e50836. [PMID: 38324354 PMCID: PMC10882471 DOI: 10.2196/50836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 10/21/2023] [Accepted: 12/13/2023] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Baseline sleep duration is associated with cancer risk and cancer-specific mortality; however, the association between longitudinal patterns of sleep duration and these risks remains unknown. OBJECTIVE This study aimed to elucidate the association between sleep duration trajectory and cancer risk and cancer-specific mortality. METHODS The participants recruited in this study were from the Kailuan cohort, with all participants aged between 18 and 98 years and without cancer at baseline. The sleep duration of participants was continuously recorded in 2006, 2008, and 2010. Latent mixture modeling was used to identify shared sleep duration trajectories. Furthermore, the Cox proportional risk model was used to examine the association of sleep duration trajectory with cancer risk and cancer-specific mortality. RESULTS A total of 53,273 participants were included in the present study, of whom 40,909 (76.79%) were men and 12,364 (23.21%) were women. The average age of the participants was 49.03 (SD 11.76) years. During a median follow-up of 10.99 (IQR 10.27-11.15) years, 2705 participants developed cancers. Three sleep duration trajectories were identified: normal-stable (44,844/53,273, 84.18%), median-stable (5877/53,273, 11.03%), and decreasing low-stable (2552/53,273, 4.79%). Compared with the normal-stable group, the decreasing low-stable group had increased cancer risk (hazard ratio [HR] 1.39, 95% CI 1.16-1.65) and cancer-specific mortality (HR 1.54, 95% CI 1.18-2.06). Dividing the participants by an age cutoff of 45 years revealed an increase in cancer risk (HR 1.88, 95% CI 1.30-2.71) and cancer-specific mortality (HR 2.52, 95% CI 1.22-5.19) only in participants younger than 45 years, rather than middle-aged or older participants. Joint analysis revealed that compared with participants who had a stable sleep duration within the normal range and did not snore, those with a shortened sleep duration and snoring had the highest cancer risk (HR 2.62, 95% CI 1.46-4.70). CONCLUSIONS Sleep duration trajectories and quality are closely associated with cancer risk and cancer-specific mortality. However, these associations differ with age and are more pronounced in individuals aged <45 years. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR-TNRC-11001489; http://tinyurl.com/2u89hrhx.
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Affiliation(s)
- Chenan Liu
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Qingsong Zhang
- Department of General Surgery, Kailuan General Hospital, Tangshan, China
| | - Chenning Liu
- Department of Obstetrics and Gynecology, Dongguan Maternal and Child Health Care Hospital, Dongguan, China
| | - Tong Liu
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Mengmeng Song
- Cardiovascular Research Institute, University of California, San Francisco, CA, United States
| | - Qi Zhang
- Department of Genetics, Yale University School of Medicine, New Haven, CT, United States
| | - Hailun Xie
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Shiqi Lin
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Jiangshan Ren
- Department of Oncology, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yue Chen
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Jinyu Shi
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Li Deng
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Hanping Shi
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
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8
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Burgess S, Cronjé HT. Incorporating biological and clinical insights into variant choice for Mendelian randomisation: examples and principles. EGASTROENTEROLOGY 2024; 2:e100042. [PMID: 38362310 PMCID: PMC7615644 DOI: 10.1136/egastro-2023-100042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Mendelian randomisation is an accessible and valuable epidemiological approach to provide insight into the causal nature of relationships between risk factor exposures and disease outcomes. However, if performed without critical thought, we may simply have replaced one set of implausible assumptions (no unmeasured confounding or reverse causation) with another set of implausible assumptions (no pleiotropy or other instrument invalidity). The most critical decision to avoid pleiotropy is which genetic variants to use as instrumental variables. Two broad strategies for instrument selection are a biologically motivated strategy and a genome-wide strategy; in general, a biologically motivated strategy is preferred. In this review, we discuss various ways of implementing a biologically motivated selection strategy: using variants in a coding gene region for the exposure or a gene region that encodes a regulator of exposure levels, using a positive control variable and using a biomarker as the exposure rather than its behavioural proxy. In some cases, a genome-wide analysis can provide important complementary evidence, even when its reliability is questionable. In other cases, a biologically-motivated analysis may not be possible. The choice of genetic variants must be informed by biological and functional considerations where possible, requiring collaboration to combine biological and clinical insights with appropriate statistical methodology.
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Affiliation(s)
- Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Héléne Toinét Cronjé
- Health Analytics, Lane Clark & Peacock LLP, London, UK
- Department of Public Health, Section of Epidemiology, University of Copenhagen, København, Denmark
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9
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Paz V, Dashti HS, Burgess S, Garfield V. Selection of genetic instruments in Mendelian randomisation studies of sleep traits. Sleep Med 2023; 112:342-351. [PMID: 37956646 PMCID: PMC7615498 DOI: 10.1016/j.sleep.2023.10.036] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 10/22/2023] [Accepted: 10/30/2023] [Indexed: 11/15/2023]
Abstract
This review explores the criteria used for the selection of genetic instruments of sleep traits in the context of Mendelian randomisation studies. This work was motivated by the fact that instrument selection is the most important decision when designing a Mendelian randomisation study. As far as we are aware, no review has sought to address this to date, even though the number of these studies is growing rapidly. The review is divided into the following sections which are essential for genetic instrument selection: 1) Single-gene region vs polygenic analysis; 2) Polygenic analysis: biologically-vs statistically-driven approaches; 3) P-value; 4) Linkage disequilibrium clumping; 5) Sample overlap; 6) Type of exposure; 7) Total (R2) and average strength (F-statistic) metrics; 8) Number of single-nucleotide polymorphisms; 9) Minor allele frequency and palindromic variants; 10) Confounding. Our main aim is to discuss how instrumental choice impacts analysis and compare the strategies that Mendelian randomisation studies of sleep traits have used. We hope that our review will enable more researchers to take a more considered approach when selecting genetic instruments for sleep exposures.
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Affiliation(s)
- Valentina Paz
- Instituto de Psicología Clínica, Facultad de Psicología, Universidad de la República, Tristán Narvaja, 1674, Montevideo, 11200, Uruguay; MRC Unit for Lifelong Health & Ageing, Institute of Cardiovascular Science, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
| | - Hassan S Dashti
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, 185 Cambridge Street, Boston, MA, 02114, USA; Broad Institute, 415 Main Street, Cambridge, MA, 02142, USA; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Edwards 4-410C, Boston, MA, 02114, USA
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK; Department of Public Health and Primary Care, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK
| | - Victoria Garfield
- MRC Unit for Lifelong Health & Ageing, Institute of Cardiovascular Science, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
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10
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Tran CTD, Paragomi P, Tran MT, Nguyen MVT, Tuong TTV, Tran QH, Le LC, Pham HTT, Ha HTT, Bui NC, Vu HH, Ta PQ, Shrubsole MJ, Cai Q, Ye F, Le SH, Van Vu K, Tran HTT, Van Tran T, Boffetta P, Shu XO, Luu HN. Association between Sleep Duration and Colorectal Adenomas: Findings from a Case-Control Study in Vietnam. Cancer Epidemiol Biomarkers Prev 2023; 32:1160-1168. [PMID: 37314746 PMCID: PMC10527343 DOI: 10.1158/1055-9965.epi-23-0056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/12/2023] [Accepted: 06/12/2023] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND Colorectal cancer is one of the leading cancers worldwide and in Vietnam. Adenomas are important precursors of colorectal cancer. Study on the association between sleep duration and development of colorectal adenoma (CRA) is limited, particularly among Vietnamese population. METHODS We conducted an individually matched case-control study of 870 CRA cases and 870 controls in a large-scale colorectal screening program involving 103,542 individuals ages ≥40 years old in Hanoi, Vietnam. Sleep duration was categorized in three groups: short: ≤6 hours/day, normal: 7 to 8 hours/day, and long: >8 hours/day. Conditional logistic regression was used to evaluate the association between sleep duration and adenomas risk after controlling for potential confounders. RESULTS Overall, short-sleep duration was associated with increased risk of having CRA compared with normal duration [OR, 1.48; 95% confidence interval (CI), 1.12-1.97]. This pattern was present in both females (OR, 1.58; 95% CI, 1.14-2.18) and males (OR, 1.45; 95% CI, 1.08-1.93), with advanced adenomas (OR, 1.61; 95% CI, 1.09-2.38) and non-advanced adenomas (OR, 1.66; 95% CI, 1.19-2.32). Furthermore, the association between CRA development and short-sleep duration was more apparent among females who were nondrinker, nonobese, physically active, with proximal or both sided adenomas and with cardiometabolic disorder. Among males, the short-sleep duration was associated with CRA risk among never-smoking, cardiometabolic disorders, and obese. CONCLUSIONS Short-sleep duration was associated with increased prevalence of both advanced and non-advanced CRAs among Vietnamese population. IMPACT Findings from this study showed that maintaining an adequate sleep duration may have an important implication for colorectal adenoma prevention and control.
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Affiliation(s)
- Chi Thi-Du Tran
- Vietnam Colorectal Cancer and Polyps Research Program, Vinmec Healthcare System, Hanoi, Vietnam
- College of Health Sciences, VinUniversity (VinUni), Hanoi, Vietnam
- Center of Applied Sciences, Regenerative Medicine and Advanced Technologies, Vinmec Healthcare System, Hanoi, Vietnam
| | - Pedram Paragomi
- UPMC Hillman Cancer Center, University of Pittsburgh Medical Center (UPMC), 5150 Centre Avenue, Suite 4C, Pittsburgh, PA, 15232
| | - Mo Thi Tran
- Vietnam Colorectal Cancer and Polyps Research Program, Vinmec Healthcare System, Hanoi, Vietnam
| | - Mai Vu-Tuyet Nguyen
- Vietnam Colorectal Cancer and Polyps Research Program, Vinmec Healthcare System, Hanoi, Vietnam
| | - Thuy Thi-Van Tuong
- Vietnam Colorectal Cancer and Polyps Research Program, Vinmec Healthcare System, Hanoi, Vietnam
| | - Quang Hong Tran
- Vietnam Colorectal Cancer and Polyps Research Program, Vinmec Healthcare System, Hanoi, Vietnam
| | - Linh Cu Le
- College of Health Sciences, VinUniversity (VinUni), Hanoi, Vietnam
| | - Huong Thi-Thu Pham
- Department of Gastroenterology, Vinmec International Hospital at Times city, Vinmec Healthcare system, Hanoi, Vietnam
| | - Hien Thi-Thu Ha
- Department of Histopathology, Vinmec International Hospital at Times city, Vinmec Healthcare system, Hanoi, Vietnam
| | - Nam Chi Bui
- Department of Gastroenterology, Vinmec International Hospital at Times city, Vinmec Healthcare system, Hanoi, Vietnam
| | - Hien Huy Vu
- Department of Gastroenterology, Vinmec International Hospital at Times city, Vinmec Healthcare system, Hanoi, Vietnam
| | - Phuong Que Ta
- Department of Gastroenterology, Vinmec International Hospital at Times city, Vinmec Healthcare system, Hanoi, Vietnam
| | - Martha J. Shrubsole
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Fei Ye
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Song Huu Le
- Center of Molecular and Genetic Research, 108 Hospital, Hanoi, Vietnam
| | - Khien Van Vu
- Department of Gastroenterology, 108 Hospital, Hanoi, Vietnam
| | - Huong Thi-Thanh Tran
- Vietnam National Cancer Institute, Vietnam National Cancer Hospital, Hanoi, Vietnam
- Department of Ethics and Medical Psychology, Hanoi Medical University, Hanoi, Vietnam
| | - Thuan Van Tran
- Vietnam National Cancer Institute, Vietnam National Cancer Hospital, Hanoi, Vietnam
- Vietnam Ministry of Health, Hanoi, Vietnam
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Xiao-Ou Shu
- Department of Histopathology, Vinmec International Hospital at Times city, Vinmec Healthcare system, Hanoi, Vietnam
| | - Hung N. Luu
- UPMC Hillman Cancer Center, University of Pittsburgh Medical Center (UPMC), 5150 Centre Avenue, Suite 4C, Pittsburgh, PA, 15232
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA 15261
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11
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Collatuzzo G, Pelucchi C, Negri E, Kogevinas M, Huerta JM, Vioque J, de la Hera MG, Tsugane S, Shigueaki Hamada G, Hidaka A, Zhang ZF, Camargo MC, Curado MP, Lunet N, La Vecchia C, Boffetta P. Sleep Duration and Stress Level in the Risk of Gastric Cancer: A Pooled Analysis of Case-Control Studies in the Stomach Cancer Pooling (StoP) Project. Cancers (Basel) 2023; 15:4319. [PMID: 37686594 PMCID: PMC10486543 DOI: 10.3390/cancers15174319] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 08/17/2023] [Accepted: 08/24/2023] [Indexed: 09/10/2023] Open
Abstract
The association between sleep and stress and cancer is underinvestigated. We evaluated these factors in association with gastric cancer (GC). Five case-control studies from the Stomach Cancer Pooling (StoP) Project were included. We calculated the odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) for sleep duration and stress level in association with GC through multiple logistic regression models adjusted for several lifestyle factors. The analysis included 1293 cases and 4439 controls, 215 cardia and 919 noncardia GC, and 353 diffuse and 619 intestinal types. Sleep duration of ≥9 h was associated with GC (OR =1.57, 95% CI = 1.23-2.00) compared to 8 h. This was confirmed when stratifying by subsite (noncardia OR = 1.59, 95% CI = 1.22-2.08, and cardia OR = 1.63, 95% CI = 0.97-2.72) and histological type (diffuse OR = 1.65, 95% CI = 1.14-2.40 and intestinal OR = 1.24, 95% CI = 0.91-1.67). Stress was associated with GC (OR = 1.33, 95% CI = 1.18-1.50, continuous). This relationship was selectively related to noncardia GC (OR = 1.28, 95% 1.12-1.46, continuous). The risk of diffuse (OR = 1.32, 95% CI = 1.11-1.58) and intestinal type (OR = 1.23, 95% CI = 1.07-1.42) were higher when stress was reported. Results for the association between increasing level of stress and GC were heterogeneous by smoking and socioeconomic status (p for heterogeneity = 0.02 and <0.001, respectively). In conclusion, long sleep duration (≥9 h) was associated with GC and its subtype categories. Stress linearly increased the risk of GC and was related to noncardia GC.
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Affiliation(s)
- Giulia Collatuzzo
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy (E.N.)
| | - Claudio Pelucchi
- Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology “G.A. Maccacaro”, University of Milan, 20133 Milan, Italy; (C.P.); (C.L.V.)
| | - Eva Negri
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy (E.N.)
- Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology “G.A. Maccacaro”, University of Milan, 20133 Milan, Italy; (C.P.); (C.L.V.)
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.K.); (J.V.); (M.G.d.l.H.)
- Barcelona Institute for Global Health—ISGlobal, 08036 Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain
- Department de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
| | - José María Huerta
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.K.); (J.V.); (M.G.d.l.H.)
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, 30120 Murcia, Spain
| | - Jesus Vioque
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.K.); (J.V.); (M.G.d.l.H.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernandez (ISABIAL-UMH), 03010 Alicante, Spain
| | - Manoli García de la Hera
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.K.); (J.V.); (M.G.d.l.H.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernandez (ISABIAL-UMH), 03010 Alicante, Spain
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo 104-0045, Japan
- National Institute of Biomedical Innovation, Health and Nutrition, Tokyo 566-0002, Japan
| | | | - Akihisa Hidaka
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo 104-0045, Japan
| | - Zuo-Feng Zhang
- Department of Epidemiology, UCLA Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, CA 90095, USA;
| | - M. Constanza Camargo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA
| | - Maria Paula Curado
- Centro Internacional de Pesquisas, A.C.Camargo Cancer Center, São Paulo 01509-010, Brazil
| | - Nuno Lunet
- EPIUnit—Instituto de Saúde Pública da Universidade do Porto, 4050-091 Porto, Portugal;
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), 4050-600 Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, 4200-450 Porto, Portugal
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology “G.A. Maccacaro”, University of Milan, 20133 Milan, Italy; (C.P.); (C.L.V.)
| | - Paolo Boffetta
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy (E.N.)
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY 11794, USA
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12
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Wang X, Tian R, Zong X, Jeon MS, Luo J, Colditz GA, Wang JS, Tsilidis KK, Ju YES, Govindan R, Puri V, Cao Y. Sleep Behaviors, Genetic Predispositions, and Risk of Esophageal Cancer. Cancer Epidemiol Biomarkers Prev 2023; 32:1079-1086. [PMID: 37195052 PMCID: PMC10525008 DOI: 10.1158/1055-9965.epi-23-0101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 04/16/2023] [Accepted: 05/11/2023] [Indexed: 05/18/2023] Open
Abstract
BACKGROUND Risk factors contributing to more than 10-fold increase in esophageal cancer in the last 50 years remain underexplored. We aim to examine the associations of sleep behaviors with esophageal adenocarcinoma (EAC) and squamous cell carcinoma (ESCC). METHODS We prospectively assessed the associations between sleep behaviors (chronotype, duration, daytime napping, daytime sleepiness, snoring, and insomnia) and EAC and ESCC risk in 393,114 participants in the UK Biobank (2006-2016). Participants with 0, 1, and ≥2 unhealthy behaviors, including sleep <6 or >9 h/d, daytime napping, and usual daytime sleepiness were classified as having a good, intermediate, and poor sleep. For EAC, we also examined interactions with polygenic risk score (PRS). Cox models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI). RESULTS We documented 294 incident EAC and 95 ESCC. Sleep >9 h/d (HR, 2.05; 95% CI, 1.18-3.57) and sometimes daytime napping (HR, 1.36; 95% CI, 1.06-1.75) were individually associated with increased EAC risk. Compared with individuals with good sleep, those with intermediate sleep had a 47% (HR, 1.47; 95% CI, 1.13-1.91) increased EAC risk, and those with poor sleep showed an 87% (HR, 1.87; 95% CI, 1.24-2.82) higher risk (Ptrend < 0.001). The elevated risks for EAC were similar within strata of PRS (Pinteraction = 0.884). Evening chronotype was associated with elevated risk of ESCC diagnosed after 2 years of enrollment (HR, 2.79; 95% CI, 1.32-5.88). CONCLUSIONS Unhealthy sleep behaviors were associated with an increased risk of EAC, independent of genetic risk. IMPACT Sleep behaviors may serve as modifiable factors for the prevention of EAC.
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Affiliation(s)
- Xiaoyan Wang
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, USA
- Brown School, Washington University in St. Louis, St. Louis, USA
| | - Ruiyi Tian
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, USA
- Brown School, Washington University in St. Louis, St. Louis, USA
| | - Xiaoyu Zong
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, USA
| | - Myung Sik Jeon
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, USA
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
| | - Jingqin Luo
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, USA
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
| | - Graham A. Colditz
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, USA
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
| | - Jean S. Wang
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, USA
| | - Konstantinos K. Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Yo-El S. Ju
- Center on Biological Rhythms and Sleep (COBRAS), Washington University School of Medicine, St. Louis, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, USA
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, USA
| | - Ramaswamy Govindan
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, USA
| | - Varun Puri
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, USA
| | - Yin Cao
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, USA
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, USA
- Center on Biological Rhythms and Sleep (COBRAS), Washington University School of Medicine, St. Louis, USA
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13
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Shahu A, Chung J, Tarraf W, Ramos AR, González HM, Redline S, Cai J, Sofer T. Method comparison and estimation of causal effects of insomnia on health outcomes in a survey sampled population. Sci Rep 2023; 13:9831. [PMID: 37330559 PMCID: PMC10276808 DOI: 10.1038/s41598-023-36927-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 06/12/2023] [Indexed: 06/19/2023] Open
Abstract
Applying causal inference methods, such as weighting and matching methods, to a survey sampled population requires properly incorporating the survey weights and design to obtain effect estimates that are representative of the target population and correct standard errors (SEs). With a simulation study, we compared various approaches for incorporating the survey weights and design into weighting and matching-based causal inference methods. When the models were correctly specified, most approaches performed well. However, when a variable was treated as an unmeasured confounder and the survey weights were constructed to depend on this variable, only the matching methods that used the survey weights in causal estimation and as a covariate in matching continued to perform well. If unmeasured confounders are potentially associated with the survey sample design, we recommend that investigators include the survey weights as a covariate in matching, in addition to incorporating them in causal effect estimation. Finally, we applied the various approaches to the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and found that insomnia has a causal association with both mild cognitive impairment (MCI) and incident hypertension 6-7 years later in the US Hispanic/Latino population.
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Affiliation(s)
- Anja Shahu
- Department of Biostatistics, Harvard T.H. Chan of Public Health, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, 221 Longwood Avenue, Boston, MA, 02115, USA
| | - Joon Chung
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, 221 Longwood Avenue, Boston, MA, 02115, USA
| | - Wassim Tarraf
- Institute of Gerontology, Wayne State University, Detroit, MI, USA
| | - Alberto R Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Hector M González
- Department of Neurosciences and Shiley-Marcos Alzheimer's Disease Center, University of California, San Diego, La Jolla, CA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, 221 Longwood Avenue, Boston, MA, 02115, USA
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tamar Sofer
- Department of Biostatistics, Harvard T.H. Chan of Public Health, Boston, MA, USA.
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, 221 Longwood Avenue, Boston, MA, 02115, USA.
- CardioVascular Institute (CVI), Beth Israel Deaconness Medical Center, Boston, MA, USA.
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14
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Kamyab P, Kouchaki H, Motamed M, Boroujeni ST, Akbari H, Tabrizi R. Sleep disturbance and gastrointestinal cancer risk: a literature review. J Investig Med 2023; 71:163-172. [PMID: 36645049 DOI: 10.1177/10815589221140595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Sleep, accounting for roughly one-third of a person's life, plays an important role in human health. Despite the close association between sleep patterns and medical diseases proven by several studies, it has been neglected in recent years. Presently, all societies are facing the most challenging health-threatening disease, cancer. Among all cancer types, gastrointestinal (GI) cancers, especially colorectal type, seem to be one of the most relevant to an individual's lifestyle; thus, they can be prevented by modifying behaviors most of the time. Previous studies have shown that disruption of the 24-h sleep-wake cycle increases the chance of colorectal cancer, which can be due to exposure to artificial light at night and some complex genetic and hormone-mediated mechanisms. There has also been some evidence showing the possible associations between other aspects of sleep such as sleep duration or some sleep disorders and GI cancer risk. This review brings some information together and presents a detailed discussion of the possible role of sleep patterns in GI malignancy initiation.
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Affiliation(s)
- Parnia Kamyab
- Universal Scientific Education and Research Network, Fasa University of Medical Sciences, Fasa, Iran
| | - Hosein Kouchaki
- Universal Scientific Education and Research Network, Fasa University of Medical Sciences, Fasa, Iran
| | - Mahsa Motamed
- Department of Psychiatry, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Hamed Akbari
- Department of Biochemistry, School of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | - Reza Tabrizi
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.,Clinical Research Development Unit, Valiasr Hospital, Fasa University of Medical Sciences, Fasa, Iran.,USERN Office, Fasa University of Medical Sciences, Fasa, Iran
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15
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Yuan S, Sun Y, Tan X, Geng J, Sun J, Chen X, Yu L, Wang J, Zhou X, Hesketh T, Larsson SC, Chen J, Wang X, Li X, Liu Z. Sleep duration and daytime napping in relation to incident inflammatory bowel disease: a prospective cohort study. Aliment Pharmacol Ther 2023; 57:475-485. [PMID: 36352835 DOI: 10.1111/apt.17285] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 08/19/2022] [Accepted: 10/22/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Sleep dysregulation has been linked to gastrointestinal dysfunction and inflammation. AIMS To explore the associations between sleep duration, daytime napping and inflammatory bowel disease (IBD), Crohn's disease (CD) and ulcerative colitis (UC). METHODS Exposure information was obtained from the baseline questionnaire. Sleep duration was coded as continuous and categorical (≤5, 6, 7, 8, ≥9 h/day) variables. Daytime napping was defined as yes (sometimes/usually) and no (never/rarely). Incident IBD cases were defined from primary care and hospital inpatient records. Polygenic risk scores (PRS) for the outcomes were constructed and categorised into low, intermediate and high risk. Hazard ratio (HR) and confidence interval (CI) were estimated using Cox proportional hazard regression. RESULTS The analysis included 2604 incident IBD cases (806 CD and 1798 UC) with a median follow-up of 12.0 years. Comparing sleep duration ≤5 with 7 h/day, the HR of IBD, CD and UC was 1.36 (95% CI, 1.17-1.59), 1.53 (95% CI, 1.17-2.00) and 1.29 (95% CI, 1.07-1.56), respectively. Comparing participants with and without daytime napping, the HR of IBD, CD and UC was 1.13 (95% CI, 1.05-1.23), 1.25 (95% CI, 1.08-1.44) and 1.09 (95% CI, 0.90-1.20), respectively. No interaction of sleep duration and daytime napping with PRS was detected. However, the associations appeared stronger in individuals with high rather than low PRS. CONCLUSIONS This study reveals positive associations between short sleep duration and daytime napping and IBD risk.
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Affiliation(s)
- Shuai Yuan
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Yuhao Sun
- Centre for Global Health, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao Tan
- Unit of Functional Pharmacology and neuroscience, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jiawei Geng
- Centre for Global Health, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Jing Sun
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xuejie Chen
- Department of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Lili Yu
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiayi Wang
- Department of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Xuan Zhou
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Therese Hesketh
- Centre for Global Health, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.,Institute for Global Health, University College London, London, UK
| | - Susanna C Larsson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Jie Chen
- Centre for Global Health, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.,Department of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoyan Wang
- Department of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Xue Li
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhanju Liu
- Center for IBD Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
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16
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Yuan S, Mason AM, Titova OE, Vithayathil M, Kar S, Chen J, Li X, Burgess S, Larsson SC. Morning chronotype and digestive tract cancers: Mendelian randomization study. Int J Cancer 2023; 152:697-704. [PMID: 36093575 PMCID: PMC7613990 DOI: 10.1002/ijc.34284] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/30/2022] [Accepted: 09/05/2022] [Indexed: 02/01/2023]
Abstract
Morning chronotype has been associated with a reduced risk of prostate and breast cancer. However, few studies have examined whether chronotype is associated with digestive tract cancer risk. We conducted a Mendelian randomization (MR) study to assess the associations of chronotype with major digestive tract cancers. A total of 317 independent genetic variants associated with chronotype at the genome-wide significance level (P < 5 × 10-8 ) were used as instrumental variables from a genome-wide meta-analysis of 449 734 individuals. Summary-level data on overall and six digestive tract cancers, including esophageal, stomach, liver, biliary tract, pancreatic and colorectal cancers, were obtained from the UK Biobank (11 952 cases) and FinnGen (7638 cases) study. Genetic liability to morning chronotype was associated with reduced risk of overall digestive tract cancer and cancers of stomach, biliary tract and colorectum in UK Biobank. The associations for the overall digestive tract, stomach and colorectal cancers were directionally replicated in FinnGen. In the meta-analysis of the two sources, genetic liability to morning chronotype was associated with a decreased risk of overall digestive tract cancer (odds ratio [OR] 0.94, 95% confidence interval [CI]: 0.90-0.98), stomach cancer (OR 0.84, 95% CI: 0.73-0.97) and colorectal cancer (OR 0.92, 95% CI: 0.87-0.98), but not with the other studied cancers. The associations were consistent in multivariable MR analysis with adjustment for genetically predicted sleep duration, short sleep, insomnia and body mass index. The study provided MR evidence of inverse associations of morning chronotype with digestive tract cancer, particularly stomach and colorectal cancers.
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Affiliation(s)
- Shuai Yuan
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Amy M Mason
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Olga E Titova
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | | | - Siddhartha Kar
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jie Chen
- Centre for Global Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Xue Li
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.,Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Susanna C Larsson
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.,British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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17
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Xin J, Gu D, Chen S, Ben S, Li H, Zhang Z, Du M, Wang M. SUMMER: a Mendelian randomization interactive server to systematically evaluate the causal effects of risk factors and circulating biomarkers on pan-cancer survival. Nucleic Acids Res 2023; 51:D1160-D1167. [PMID: 35947748 PMCID: PMC9825440 DOI: 10.1093/nar/gkac677] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 07/18/2022] [Accepted: 07/26/2022] [Indexed: 01/30/2023] Open
Abstract
Genome-wide association studies (GWASs) underlying case-control design have uncovered hundreds of genetic loci involved in tumorigenesis and provided rich resources for identifying risk factors and biomarkers associated with cancer susceptibility. However, the application of GWAS in determining the genetic architecture of cancer survival remains unestablished. Here, we systematically evaluated genetic effects at the genome-wide level on cancer survival that included overall survival (OS) and cancer-specific survival (CSS), leveraging data deposited in the UK Biobank cohort of a total of 19 628 incident patients across 17 cancer types. Furthermore, we assessed the causal effects of risk factors and circulating biomarkers on cancer prognosis via a Mendelian randomization (MR) analytic framework, which integrated cancer survival GWAS dataset, along with phenome-wide association study (PheWAS) and blood genome-wide gene expression/DNA methylation quantitative trait loci (eQTL/meQTL) datasets. On average, more than 10 traits, 700 genes, and 4,500 CpG sites were prone to cancer prognosis. Finally, we developed a user-friendly online database, SUrvival related cancer Multi-omics database via MEndelian Randomization (SUMMER; http://njmu-edu.cn:3838/SUMMER/), to help users query, browse, and download cancer survival results. In conclusion, SUMMER provides an important resource to assist the research community in understanding the genetic mechanisms of cancer survival.
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Affiliation(s)
- Junyi Xin
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Dongying Gu
- Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Silu Chen
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Shuai Ben
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Huiqin Li
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhengdong Zhang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Mulong Du
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meilin Wang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
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18
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Ruze R, Chen Y, Xu R, Song J, Yin X, Wang C, Xu Q. Obesity, diabetes mellitus, and pancreatic carcinogenesis: Correlations, prevention, and diagnostic implications. Biochim Biophys Acta Rev Cancer 2023; 1878:188844. [PMID: 36464199 DOI: 10.1016/j.bbcan.2022.188844] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 11/13/2022] [Accepted: 11/26/2022] [Indexed: 12/03/2022]
Abstract
The prevalence of obesity, diabetes mellitus (DM), and pancreatic cancer (PC) has been consistently increasing in the last two decades worldwide. Sharing various influential risk factors in genetics and environmental inducers in pathogenesis, the close correlations of these three diseases have been demonstrated in plenty of clinical studies using multiple parameters among different populations. On the contrary, most measures aimed to manage and treat obesity and DM effectively reduce the risk and prevent PC occurrence, yet certain drugs can inversely promote pancreatic carcinogenesis instead. Most importantly, an elevation of blood glucose with or without a reduction in body weight, along with other potential tools, may provide valuable clues for detecting PC at an early stage in patients with obesity and DM, favoring a timely intervention and prolonging survival. Herein, the epidemiological and etiological correlations among these three diseases and the supporting clinical evidence of their connections are first summarized to favor a better and more thorough understanding of obesity- and DM-related pancreatic carcinogenesis. After comparing the distinct impacts of different weight-lowering and anti-diabetic treatments on the risk of PC, the possible diagnostic implications of hyperglycemia and weight loss in PC screening are also addressed in detail.
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Affiliation(s)
- Rexiati Ruze
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifuyuan, Wangfujing Street, Beijing, China; Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Beijing, China
| | - Yuan Chen
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifuyuan, Wangfujing Street, Beijing, China; Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Beijing, China
| | - Ruiyuan Xu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifuyuan, Wangfujing Street, Beijing, China; Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Beijing, China
| | - Jianlu Song
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifuyuan, Wangfujing Street, Beijing, China; Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Beijing, China
| | - Xinpeng Yin
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifuyuan, Wangfujing Street, Beijing, China; Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Beijing, China
| | - Chengcheng Wang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifuyuan, Wangfujing Street, Beijing, China.
| | - Qiang Xu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifuyuan, Wangfujing Street, Beijing, China.
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19
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Deng Y, Wang L, Huang J, Ding H, Wong MCS. Associations between potential causal factors and colorectal cancer risk: A systematic review and meta-analysis of Mendelian randomization studies. J Dig Dis 2022; 23:435-445. [PMID: 36169182 DOI: 10.1111/1751-2980.13130] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/07/2022] [Accepted: 09/25/2022] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To summarize the associations between potential causal factors and colorectal cancer (CRC) risk based on existing Mendelian randomization studies. METHODS This systematic review and meta-analysis involved a literature search in Embase and Medline. All published articles using Mendelian randomization to explore potential causal factors of CRC were included. Studies that reported Mendelian randomization estimates of standard deviation changes in exposures were included in the meta-analysis. Subgroup analyses based on sex and anatomical sites were performed. RESULTS One hundred and ninety studies presented in 51 articles were included in systematic review, and 114 studies conducted in 32 articles were included in the meta-analysis. Adult body mass index, waist circumference, waist hip ratio, body height, body fat percentage, arm fat ratio, childhood obesity, lifetime cigarette consumption, short sleep, coffee consumption, and blood levels of vitamin B12 , arachidonic acid, stearic acid, and insulin-like growth factor binding protein 3 were positively associated with CRC risk. Conversely, acceleration-vector-magnitude physical activity, milk consumption, and blood levels of adiponectin, linoleic acid, α-linolenic acid, oleic acid, palmitoleic acid, interleukin-6 receptor subunit-α, and tumor necrosis factor were inversely associated with CRC risk. CONCLUSIONS Most obesity-related anthropometric characteristics, several unhealthy lifestyles, and blood levels of some micronutrients, fatty acids, and diabetes-related biomarkers were positively associated with CRC risk. In contrast, some lifestyles and blood levels of some fatty acids and inflammatory biomarkers were inversely associated with CRC risk. Future studies with more valid genetic variants are needed for factors with discrepancies between Mendelian randomization and epidemiological studies.
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Affiliation(s)
- Yunyang Deng
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Lyu Wang
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Junjie Huang
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hanyue Ding
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Martin Chi Sang Wong
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China.,School of Public Health, the Chinese Academy of Medical Sciences and the Peking Union Medical College, Beijing, China.,School of Public Health, Peking University, Beijing, China
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20
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Rong H, Wang X, Lai X, Yu W, Fei Y. Associations Between Sleep Duration and Sensory Impairments Among Older Adults in China. Front Aging Neurosci 2022; 14:910231. [PMID: 35754970 PMCID: PMC9228799 DOI: 10.3389/fnagi.2022.910231] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 05/10/2022] [Indexed: 11/20/2022] Open
Abstract
Objective Studies of sleep duration in relation to the risk of sensory impairments other than dementia are scarce. Little is known about the associations between sleep duration and sensory impairments in China. This study aims to explore the associations between sleep duration and single or dual sensory impairments (visual and/or hearing). Methods This cross-sectional study used the data from 17,668 respondents were drawn from the 2018 survey of the China Health and Retirement Longitudinal Study (CHARLS), an ongoing national longitudinal study of Chinese adults aged 45 years and above. The duration of sleep per night was obtained from face-to-face interviews. The presence of sensory impairments was measured by self-reported visual and hearing functions. Multivariable generalized linear models (GLM) with binomial family and log link to assess the associations between sleep duration and sensory impairments. Results Of the 17,668 respondents, 8,396 (47.5%) were men. The mean (SD) age was 62.5 (10.0) years old. Respondents with short (≤ 4, 5 h per night) sleep duration had a significantly higher risk of visual, hearing and dual sensory impairments than those who slept for 7 h per night after adjusting for covariates (P < 0.05). Meanwhile, respondents who slept for 6 h per night had a higher risk of hearing impairment (P = 0.005). Further analysis suggested a U-shaped association between sleep duration and sensory impairments. When sleep duration fell below 8 h, increased sleep duration was associated with a significantly lower risk of visual (OR, 0.93; 95%CI, 0.88–0.98; P = 0.006), hearing (OR, 0.89; 95% CI, 0.86–0.93; P < 0.001), and dual (OR, 0.90; 95% CI, 0.87–0.94; P < 0.001) impairments. When sleep duration exceeded 8 h, the risk of visual (OR, 1.09; 95% CI, 1.00–1.19; P = 0.048), hearing (OR, 1.04; 95% CI, 0.97–1.11; P = 0.269), and dual (OR, 1.07; 95% CI, 1.00–1.14; P = 0.044) impairments would increase facing prolonged sleep duration. Women and the elderly aged over 60 years old were more sensitive to short sleep duration and experienced a higher risk of sensory impairments. Conclusion In this study, short sleep duration was associated with a higher risk of visual and hearing impairments. Future studies are needed to examine the mechanisms of the associations between sleep duration and sensory impairments.
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Affiliation(s)
- Hongguo Rong
- Institute for Excellence in Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.,Center for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.,School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Xiao Wang
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, Anding Hospital, Capital Medical University, Beijing, China
| | - Xiaozhen Lai
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Weijie Yu
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Yutong Fei
- Center for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.,Institute for Excellence in Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.,School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
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21
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Berisha A, Shutkind K, Borniger JC. Sleep Disruption and Cancer: Chicken or the Egg? Front Neurosci 2022; 16:856235. [PMID: 35663547 PMCID: PMC9160986 DOI: 10.3389/fnins.2022.856235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 04/05/2022] [Indexed: 11/13/2022] Open
Abstract
Sleep is a nearly ubiquitous phenomenon across the phylogenetic tree, highlighting its essential role in ensuring fitness across evolutionary time. Consequently, chronic disruption of the duration, timing, or structure of sleep can cause widespread problems in multiple physiological systems, including those that regulate energy balance, immune function, and cognitive capacity, among others. Many, if not all these systems, become altered throughout the course of cancer initiation, growth, metastatic spread, treatment, and recurrence. Recent work has demonstrated how changes in sleep influence the development of chronic diseases, including cancer, in both humans and animal models. A common finding is that for some cancers (e.g., breast), chronic disruption of sleep/wake states prior to disease onset is associated with an increased risk for cancer development. Additionally, sleep disruption after cancer initiation is often associated with worse outcomes. Recently, evidence suggesting that cancer itself can affect neuronal circuits controlling sleep and wakefulness has accumulated. Patients with cancer often report difficulty falling asleep, difficulty staying asleep, and severe fatigue, during and even years after treatment. In addition to the psychological stress associated with cancer, cancer itself may alter sleep homeostasis through changes to host physiology and via currently undefined mechanisms. Moreover, cancer treatments (e.g., chemotherapy, radiation, hormonal, and surgical) may further worsen sleep problems through complex biological processes yet to be fully understood. This results in a "chicken or the egg" phenomenon, where it is unclear whether sleep disruption promotes cancer or cancer reciprocally disrupts sleep. This review will discuss existing evidence for both hypotheses and present a framework through which the interactions between sleep and cancer can be dissociated and causally investigated.
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Affiliation(s)
- Adrian Berisha
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, United States
| | - Kyle Shutkind
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States
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22
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Markozannes G, Kanellopoulou A, Dimopoulou O, Kosmidis D, Zhang X, Wang L, Theodoratou E, Gill D, Burgess S, Tsilidis KK. Systematic review of Mendelian randomization studies on risk of cancer. BMC Med 2022; 20:41. [PMID: 35105367 PMCID: PMC8809022 DOI: 10.1186/s12916-022-02246-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 01/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND We aimed to map and describe the current state of Mendelian randomization (MR) literature on cancer risk and to identify associations supported by robust evidence. METHODS We searched PubMed and Scopus up to 06/10/2020 for MR studies investigating the association of any genetically predicted risk factor with cancer risk. We categorized the reported associations based on a priori designed levels of evidence supporting a causal association into four categories, namely robust, probable, suggestive, and insufficient, based on the significance and concordance of the main MR analysis results and at least one of the MR-Egger, weighed median, MRPRESSO, and multivariable MR analyses. Associations not presenting any of the aforementioned sensitivity analyses were not graded. RESULTS We included 190 publications reporting on 4667 MR analyses. Most analyses (3200; 68.6%) were not accompanied by any of the assessed sensitivity analyses. Of the 1467 evaluable analyses, 87 (5.9%) were supported by robust, 275 (18.7%) by probable, and 89 (6.1%) by suggestive evidence. The most prominent robust associations were observed for anthropometric indices with risk of breast, kidney, and endometrial cancers; circulating telomere length with risk of kidney, lung, osteosarcoma, skin, thyroid, and hematological cancers; sex steroid hormones and risk of breast and endometrial cancer; and lipids with risk of breast, endometrial, and ovarian cancer. CONCLUSIONS Despite the large amount of research on genetically predicted risk factors for cancer risk, limited associations are supported by robust evidence for causality. Most associations did not present a MR sensitivity analysis and were thus non-evaluable. Future research should focus on more thorough assessment of sensitivity MR analyses and on more transparent reporting.
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Affiliation(s)
- Georgios Markozannes
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, St. Mary's Campus, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
| | - Afroditi Kanellopoulou
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | | | - Dimitrios Kosmidis
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Xiaomeng Zhang
- Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Lijuan Wang
- Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK
- CRUK Edinburgh Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, St. Mary's Campus, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
| | - Stephen Burgess
- Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge, UK
- Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
- Department of Epidemiology and Biostatistics, St. Mary's Campus, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.
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23
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Åkerstedt T, Nilsson PM. Good night and sleep well! - But what is really a healthy sleep? J Intern Med 2022; 291:5-7. [PMID: 34549466 DOI: 10.1111/joim.13373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Torbjörn Åkerstedt
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.,Department of Psychology, Stress Research Institute, Stockholm University, Stockholm, Sweden
| | - Peter M Nilsson
- Department of Clinical Sciences, Skane University Hospital, Lund University, Malmö, Sweden
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24
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Fan H, Liu Z, Zhang X, Yuan H, Zhao X, Zhao R, Shi T, Wu S, Xu Y, Suo C, Chen X, Zhang T. Investigating the Association Between Seven Sleep Traits and Nonalcoholic Fatty Liver Disease: Observational and Mendelian Randomization Study. Front Genet 2022; 13:792558. [PMID: 35656325 PMCID: PMC9152285 DOI: 10.3389/fgene.2022.792558] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
Background and Aim: Aberrant sleep parameters are associated with the risk of nonalcoholic fatty liver disease (NAFLD). However, existing information is inconsistent among studies and involves reverse causation. Therefore, we aimed to investigate the observational associations and causations between sleep traits and NAFLD. Methods: We performed multivariable regression to assess observational associations of seven sleep traits (sleep duration, easiness of getting up in the morning, chronotype, nap during day, snoring, insomnia, and narcolepsy), and NAFLD in the UK Biobank (1,029 NAFLD). The Cox proportional hazards model was applied to derive hazard ratios and 95% confidence intervals (CIs). Furthermore, a bidirectional two-sample Mendelian randomization (MR) approach was used to explore the causal relationships between sleep traits and NAFLD. Results: In the multivariable regression model adjusted for potential confounders, getting up in the morning not at all easy (HR, 1.51; 95% CI, 1.27-1.78) and usually insomnia (HR, 1.46; 95% CI, 1.21-1.75) were associated with the risk of NAFLD. Furthermore, the easiness of getting up in the morning and insomnia showed a dose-response association with NAFLD (Ptrend <0.05). MR analysis found consistent causal effects of NAFLD on easiness of getting up in the morning (OR, 0.995; 95% CI, 0.990-0.999; p = 0.033) and insomnia (OR, 1.006; 95% CI, 1.001-1.011; p = 0.024). These results were robust to weak instrument bias, pleiotropy, and heterogeneity. Conclusions: Findings showed consistent evidence of observational analyses and MR analyses that trouble getting up in the morning and insomnia were associated with an increased risk of NAFLD. Bidirectional MR demonstrated causal effects of NAFLD on sleep traits.
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Affiliation(s)
- Hong Fan
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Zhenqiu Liu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Xin Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Huangbo Yuan
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Xiaolan Zhao
- Department of Chronic Diseases Prevention, Taizhou Center for Disease Control and Prevention, Jiangsu, China
| | - Renjia Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Tingting Shi
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Sheng Wu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Yiyun Xu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Chen Suo
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Xingdong Chen
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,Department of Chronic Diseases Prevention, Taizhou Center for Disease Control and Prevention, Jiangsu, China.,Human Phenome Institute, Fudan University, Shanghai, China
| | - Tiejun Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
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25
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Luu HN, Paragomi P, Wang R, Jin A, Brand RE, Koh WP, Yuan JM. Composite Score of Healthy Lifestyle Factors and the Risk of Pancreatic Cancer in a Prospective Cohort Study. Cancer Prev Res (Phila) 2022; 15:29-36. [PMID: 34642175 PMCID: PMC8741646 DOI: 10.1158/1940-6207.capr-21-0205] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 09/08/2021] [Accepted: 10/05/2021] [Indexed: 12/24/2022]
Abstract
While the associations between individual lifestyle factors and risk of pancreatic cancer were studied extensively, their combined impact has not been examined. We evaluated the association of a composite score of healthy lifestyle factors, including body mass index, cigarette smoking, the Alternative Healthy Eating Index-2010 (AHEI-2010), sleep duration, and physical activity with pancreatic cancer risk in the Singapore Chinese Health Study, an ongoing prospective cohort study of 63,257 Chinese aged 45 to 74 years at enrollment in 1993 to 1998 with up to 25 years of follow up. Cox proportional hazard regression method was used to estimate HR and its 95% confidence interval (CI) with adjustment for multiple potential confounders. We identified 316 incident pancreatic cancer cases among the cohort participants after a mean 17 years of follow up. Individuals with higher composite scores representing healthier lifestyle were at significantly lower risk of pancreatic cancer. The multivariate-adjusted HRs (95% CIs) of pancreatic cancer incidence for the composite scores 2, 3, 4, 5, 6 to 7 were 0.60 (0.50-0.91), 0.48 (0.32-0.71), 0.45 (0.31-0.67), 0.41 (0.27-0.62), and 0.38 (0.24-0.62), respectively, compared with the scores 0 to 1 (P trend < 0.0001). The inverse association was more apparent among participants without diabetes history and was robust in men and women as well as in alcohol drinkers and nondrinkers. In summary, the association for pancreatic cancer risk was stronger for the aggregated than individual healthy lifestyle factors. These findings suggest that a more comprehensive lifestyle modification strategy would be more effective for prevention of pancreatic cancer than the change of a single lifestyle factor. PREVENTION RELEVANCE: In this large prospective Asian study, we calculated a composite score of healthy lifestyle factors, including body mass index, cigarette smoking, the Alternative Healthy Eating Index-2010 (AHEI-2010), sleep duration, and physical activity and found this composite score was associated with a significant reduction in pancreatic cancer risk, by as much as 62%. This finding suggests that public health programs emphasizing comprehensive lifestyle modification strategy would be more effective for prevention of pancreatic cancer than the change of a single lifestyle factor.
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Affiliation(s)
- Hung N Luu
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PennsylvaniaA, USA.
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Pedram Paragomi
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PennsylvaniaA, USA
| | - Renwei Wang
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PennsylvaniaA, USA
| | - Aizhen Jin
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Randall E Brand
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
- Division of Gastroenterolory, Hematology and Nutrition, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore
| | - Jian-Min Yuan
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PennsylvaniaA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
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26
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Papantoniou K, Castaño-Vinyals G, Espinosa A, Turner MC, Martín-Sánchez V, Casabonne D, Aragonés N, Gómez-Acebo I, Ardanaz E, Jimenez-Moleon JJ, Amiano P, Molina-Barceló A, Alguacil J, Fernández-Tardón G, Huerta JM, Hernández-Segura N, Perez-Gomez B, Llorca J, Vidán-Alli J, Olmedo-Requena R, Gil L, Castañon-López C, Pollan M, Kogevinas M, Moreno V. Sleep duration and napping in relation to colorectal and gastric cancer in the MCC-Spain study. Sci Rep 2021; 11:11822. [PMID: 34083698 PMCID: PMC8175745 DOI: 10.1038/s41598-021-91275-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 05/20/2021] [Indexed: 12/13/2022] Open
Abstract
Sleep duration is a novel and potentially modifiable risk factor for cancer. We evaluated the association of self-reported sleep duration and daytime napping with odds of colorectal and gastric cancer. We included 2008 incident colorectal cancer cases, 542 gastric cancer cases and 3622 frequency-matched population controls, recruited in the MCC-Spain case-control study (2008-2013). Sleep information, socio-demographic and lifestyle characteristics were obtained through personal interviews. Multivariable adjusted logistic regression models were used to estimate odds ratios (OR) with 95% confidence intervals (CI) for cancer, across categories of sleep duration (≤ 5, 6, 7, 8, ≥ 9 hours/day), daytime napping frequency (naps/week) and duration (minutes/nap). Compared to 7 hours of sleep, long sleep was associated with increased odds of colorectal (OR≥9 hours: 1.59; 95%CI 1.30-1.94) and gastric cancer (OR≥9 hours: 1.95; 1.37-2.76); short sleep was associated with increased odds of gastric cancer (OR≤5 hours: 1.32; 0.93-1.88). Frequent and long daytime naps increased the odds of colorectal (OR6-7 naps/week, ≥30 min: 1.32; 1.14-1.54) and gastric cancer (OR6-7 naps/week, ≥30 min: 1.56; 1.21-2.02). Effects of short sleep and frequent long naps were stronger among participants with night shift-work history. Sleep and circadian disruption may jointly play a role in the etiology of colorectal and gastric cancer.
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Affiliation(s)
- Kyriaki Papantoniou
- Department of Epidemiology, Center of Public Health, Medical University of Vienna, Kinderspitalgasse 15, 1090, Vienna, Austria.
- ISGlobal, Barcelona, Spain.
| | - Gemma Castaño-Vinyals
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Ana Espinosa
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Michelle C Turner
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- McLaughlin Centre for Population Health Risk Assessment, University of Ottawa, Ottawa, ON, Canada
| | - Vicente Martín-Sánchez
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Biomedicine Institute (IBIOMED), University of León, Leon, Spain
| | - Delphine Casabonne
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Unit of Molecular and Genetic Epidemiology in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, Hospitalet de Llobregat, Barcelona, Spain
| | - Nuria Aragonés
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Epidemiology Section, Public Health Division, Department of Health of Madrid, Madrid, Spain
| | - Inés Gómez-Acebo
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- University of Cantabria, Santander, Spain
- IDIVAL, Santander, Spain
| | - Eva Ardanaz
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Jose-Juan Jimenez-Moleon
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
- Instituto de Investigacion Biosanitaria de Granada (Ibs.GRANADA), Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, San Sebastian, Spain
- Biodonostia Research Institute, San Sebastian, Spain
| | | | - Juan Alguacil
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Centro de Investigación en Salud y Medio Ambiente (CYSMA), Universidad de Huelva, Campus Universitario de El Carmen, Huelva, Spain
| | - Guillermo Fernández-Tardón
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Health Research Institute of the Principality of Asturias, University of Oviedo, Oviedo, Spain
| | - José María Huerta
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | | | - Beatriz Perez-Gomez
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Cancer Epidemiology Unit of the National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
- Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Majadahonda, Madrid, Spain
| | - Javier Llorca
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- University of Cantabria, Santander, Spain
| | - Juana Vidán-Alli
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Rocıo Olmedo-Requena
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
- Instituto de Investigacion Biosanitaria de Granada (Ibs.GRANADA), Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - Leire Gil
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, San Sebastian, Spain
- Biodonostia Research Institute, San Sebastian, Spain
| | | | - Marina Pollan
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Cancer Epidemiology Unit of the National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Manolis Kogevinas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Victor Moreno
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), Hospitalet de Llobregat, Barcelona, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
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27
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Titova OE, Michaëlsson K, Vithayathil M, Mason AM, Kar S, Burgess S, Larsson SC. Sleep duration and risk of overall and 22 site-specific cancers: A Mendelian randomization study. Int J Cancer 2021; 148:914-920. [PMID: 32895918 PMCID: PMC7821333 DOI: 10.1002/ijc.33286] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 08/19/2020] [Indexed: 12/11/2022]
Abstract
Studies of sleep duration in relation to the risk of site-specific cancers other than breast cancer are scarce. Furthermore, the available results are inconclusive and the causality remains unclear. We aimed to investigate the potential causal associations of sleep duration with overall and site-specific cancers using the Mendelian randomization (MR) design. Single-nucleotide polymorphisms associated with the sleep traits identified from a genome-wide association study were used as instrumental variables to estimate the association with overall cancer and 22 site-specific cancers among 367 586 UK Biobank participants. A replication analysis was performed using data from the FinnGen consortium (up to 121 579 individuals). There was suggestive evidence that genetic liability to short-sleep duration was associated with higher odds of cancers of the stomach (odds ratio [OR], 2.22; 95% confidence interval [CI], 1.15-4.30; P = .018), pancreas (OR, 2.18; 95% CI, 1.32-3.62; P = .002) and colorectum (OR, 1.48; 95% CI, 1.12-1.95; P = .006), but with lower odds of multiple myeloma (OR, 0.47; 95% CI, 0.22-0.99; P = .047). Suggestive evidence of association of genetic liability to long-sleep duration with lower odds of pancreatic cancer (OR, 0.44; 95% CI, 0.25-0.79; P = .005) and kidney cancer (OR, 0.44; 95% CI, 0.21-0.90; P = .025) was observed. However, none of these associations passed the multiple comparison threshold and two-sample MR analysis using FinnGen data did not confirm these findings. In conclusion, this MR study does not provide strong evidence to support causal associations of sleep duration with risk of overall and site-specific cancers. Further MR studies are required.
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Affiliation(s)
- Olga E. Titova
- Unit of Medical Epidemiology, Department of Surgical SciencesUppsala UniversityUppsalaSweden
| | - Karl Michaëlsson
- Unit of Medical Epidemiology, Department of Surgical SciencesUppsala UniversityUppsalaSweden
| | | | - Amy M. Mason
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- National Institute for Health Research Cambridge Biomedical Research CentreUniversity of Cambridge and Cambridge University HospitalsCambridgeUK
| | - Siddhartha Kar
- MRC Integrative Epidemiology Unit, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Stephen Burgess
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- MRC Biostatistics UnitUniversity of CambridgeCambridgeUK
| | - Susanna C. Larsson
- Unit of Medical Epidemiology, Department of Surgical SciencesUppsala UniversityUppsalaSweden
- Unit of Cardiovascular and Nutritional EpidemiologyInstitute of Environmental Medicine, Karolinska InstitutetStockholmSweden
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