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Silver SR, Sweeney MH, Sanderson WT, Pana-Cryan R, Steege AL, Quay B, Carreón T, Flynn MA. Assessing the role of social determinants of health in health disparities: The need for data on work. Am J Ind Med 2024; 67:129-142. [PMID: 38103002 PMCID: PMC10842318 DOI: 10.1002/ajim.23557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 11/15/2023] [Accepted: 11/30/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Work is a key social determinant of health. Without the collection of work-related information in public health data systems, the role of social determinants in creating and reinforcing health disparities cannot be fully assessed. METHODS The Centers for Disease Control and Prevention (CDC) maintains or supports a number of public health surveillance and health monitoring systems, including surveys, case-based disease and exposure systems, vital status records, and administrative data systems. We evaluated a convenience sample of these systems for inclusion of information in three work-related domains: employment status, industry and occupation, and working conditions. RESULTS While 12 of 39 data systems were identified as collecting work-related data, this information was often minimal (e.g., only employment status), restricted to a subset of respondents, or only gathered periodically. Information on working conditions was particularly sparse. CONCLUSION Historically, the limited and inconsistent collection of work-related information in public health data systems has hindered understanding of the role work plays in health disparities. Current CDC data modernization efforts present opportunities to enhance the identification and mitigation of health disparities by prioritizing inclusion of an expanded set of work-related data elements.
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Affiliation(s)
- Sharon R Silver
- Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Health Informatics Branch, Cincinnati, Ohio, USA
| | - Marie H Sweeney
- Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Health Informatics Branch, Cincinnati, Ohio, USA
| | - Wayne T Sanderson
- Department of Biosystems and Agricultural Engineering, Southeast Center for Agricultural Health and Injury Prevention, Central Appalachian Regional Education Research Center, College of Agriculture Food and Environment, University of Kentucky, Lexington, Kentucky, USA
| | - Regina Pana-Cryan
- National Institute for Occupational Safety and Health, Economic Research and Support Office, Washington, District of Columbia, USA
| | - Andrea L Steege
- Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Health Informatics Branch, Cincinnati, Ohio, USA
| | - Brian Quay
- National Institutes of Health (work performed at NIOSH), Bethesda, MD, USA
| | - Tania Carreón
- World Trade Center Health Program, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA
| | - Michael A Flynn
- Division of Science Integration, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA
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Workman B, Fulk F, Carreón T, Nabors L. Implementation of an Awareness Level Training to Prepare the Workforce for Future Infectious Disease Outbreaks. Disaster Med Public Health Prep 2024; 18:e9. [PMID: 38287864 DOI: 10.1017/dmp.2024.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2024]
Abstract
OBJECTIVE The COVID-19 pandemic underscores the need for workforce awareness-level training for infectious disease outbreaks. A training program was created and evaluated to provide strategies for emergency preparedness as well as worker health and safety during a disease outbreak. METHODS Participants (N = 292) completed instructor-led synchronous online training modules between January 2022 and February 2023. Training covered 5 areas: vaccine awareness, infectious disease transmission and prevention, pandemic awareness, and inapparent infections, as well as workplace controls to reduce or remove hazards. Participants completed a survey before and after training to assess knowledge change in the five areas. Chi-square analyses assessed how predictors were related to knowledge change. RESULTS Overall, an increase in knowledge was observed between pre- (80.9%) and post-training (92.7%). Participants from small businesses, with less work experience, and in non-health care roles were under-informed. Knowledge of disease transmission and prevention improved for non-health care professions and workers with less experience. All participants gained knowledge in identifying and ranking safeguards to protect workers from injuries and illness at job sites. CONCLUSIONS Training improved employee knowledge about safe work practices and pandemic preparedness. Studies should continue to evaluate the effectiveness of preparedness training to prepare the workforce for infectious disease outbreaks and pandemics.
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Affiliation(s)
- Brandon Workman
- Environmental and Public Health Sciences, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA
- Health Promotion and Education, School of Human Services, College of Education, Criminal Justice, and Human Services, University of Cincinnati, Cincinnati, Ohio, USA
| | - Florence Fulk
- Environmental and Public Health Sciences, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA
- College of Public Health, University of Kentucky, Lexington, Kentucky, USA
| | - Tania Carreón
- Environmental and Public Health Sciences, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA
- World Trade Center Health Program, National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | - Laura Nabors
- Health Promotion and Education, School of Human Services, College of Education, Criminal Justice, and Human Services, University of Cincinnati, Cincinnati, Ohio, USA
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Ceballos DM, Herrick RF, Carreón T, Nguyen VT, Chu MT, Sadowski JP, Blumenthal H, Morata TC. Expanding Reach of Occupational Health Knowledge: Contributing Subject-Matter Expertise to Wikipedia as a Class Assignment. Inquiry 2021; 58:469580211035735. [PMID: 34595964 PMCID: PMC8489755 DOI: 10.1177/00469580211035735] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The National Institute for Occupational Safety and Health (NIOSH) and several university programs have collaborated on a large effort to expand and improve occupational safety and health content in Wikipedia using a platform developed by Wiki Education. This article describes the initiative, student contributions, and evaluations of this effort by instructors from two universities between 2016 and 2020. The Wiki Education platform allowed instructors to set timelines and track students’ progress throughout the semester while students accessed training to best expand health content in Wikipedia. Students chose topics in occupational health based on their interests and by a set of topics deemed as a priority by the “WikiProject Occupational Safety and Health.” Students’ contributions were peer-reviewed by instructors, NIOSH Wikipedians-in-Residence, and traditional Wikipedians. Students presented their projects in class at the end of the semester. Students from both schools expanded 55 articles, created 8 new articles, and translated 2 articles to Spanish, adding 1270 references; these articles were viewed over 8 million times by May 2020. Feedback received from the implementation suggested that students learned about science communication and digital literacy—providing valuable content on occupational health while reducing misinformation in the public domain. The process of identifying and addressing gaps in occupational health in Wikipedia requires participation and engagement toward improving access to information that otherwise would be restricted to the scientific literature, often behind a paywall. The Wikipedia assignment proved to be an engaging approach for instruction and information literacy. It helped students improve their science communication skills and digital literacy, tools that are likely to be critical for successful communication of science in their future careers.
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Affiliation(s)
- Diana M Ceballos
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Robert F Herrick
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tania Carreón
- World Trade Center Health Program, 114426National Institute for Occupational Safety and Health, Cincinnati, OH, USA.,Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Vy T Nguyen
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - MyDzung T Chu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - John P Sadowski
- Office of the Director, 114426National Institute for Occupational Safety and Health, Washington, DC, USA
| | | | - Thais C Morata
- Division of Field Studies and Engineering, 114426National Institute for Occupational Safety and Health, Cincinnati, OH, USA
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Daniels RD, Carreón T, Bilics JA, Reissman DB, Howard J. The World Trade Center Health Program: Petitions for adding qualifying health conditions. Am J Ind Med 2021; 64:885-892. [PMID: 34128231 PMCID: PMC8518601 DOI: 10.1002/ajim.23267] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 05/25/2021] [Accepted: 05/27/2021] [Indexed: 12/21/2022]
Abstract
The federally mandated World Trade Center Health Program provides limited health benefits for qualifying health conditions related to the 9/11 terrorist attacks. A qualifying health condition is an illness or health condition for which the member's exposure to airborne toxins, any other hazard, or any other adverse condition resulting from the 9/11 terrorist attacks is considered substantially likely to be a significant factor in aggravating, contributing to, or causing the illness or health condition. These qualifying health conditions are listed in federal regulations. The regulations also provide a process for amending this list. This commentary describes the methods developed for adding health conditions to the list of qualifying health conditions and discusses changes to the list that have occurred during the Program's 2011-2020 period.
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Affiliation(s)
- Robert D. Daniels
- World Trade Center Health Program (WTCHP), Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH) Washington DC USA
| | - Tania Carreón
- World Trade Center Health Program (WTCHP), Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH) Washington DC USA
| | - Jessica A. Bilics
- World Trade Center Health Program (WTCHP), Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH) Washington DC USA
| | - Dori B. Reissman
- World Trade Center Health Program (WTCHP), Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH) Washington DC USA
| | - John Howard
- National Institute for Occupational Safety and Health (NIOSH) Washington DC USA
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Park RM, Carreón T, Hanley KW. Risk assessment for o-toluidine and bladder cancer incidence. Am J Ind Med 2021; 64:758-770. [PMID: 34114240 DOI: 10.1002/ajim.23265] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 05/14/2021] [Accepted: 05/14/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND Elevated bladder cancer incidence has been reported in a cohort of 1875 workers manufacturing chemicals used in the rubber industry and employed any time during 1946-2006. o-Toluidine (OT), an aromatic amine, was the prime suspect agent. Using the available environmental data and process characterization, previous investigators assigned ranks to volatile chemical air concentrations across time in departments and jobs, reflecting probabilities of exposure and use of personal protective equipment for airborne and dermal exposures. Aniline, another aromatic amine, was present at comparable concentrations and is known to be an animal carcinogen but produced lower levels in post-shift urine and of hemoglobin adducts than OT in a group of workers. METHODS A quantitative risk assessment was performed based on this same population. In this study, cumulative OT exposures were estimated (a) based on previously assigned ranks of exposure intensity and reported actual exposures in jobs with the highest assigned rank, and (b) directly from the historical environmental sampling for OT. Models of bladder cancer incidence were evaluated taking into account possible healthy worker survivor effects. RESULTS Under various assumptions regarding workforce turnover, the excess lifetime risk of bladder cancer from OT exposure at 1 ppb was estimated to be in the range 1-7 per thousand. CONCLUSIONS The current ACGIH TLV and OSHA standards for OT are 2 and 5 ppm, respectively, 1000-fold higher than the exposure estimated here for 1-7 per thousand excess lifetime risk.
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Affiliation(s)
- Robert M. Park
- Division of Science Integration National Institute for Occupational Safety and Health Cincinnati Ohio USA
| | - Tania Carreón
- World Trade Center Health Program National Institute for Occupational Safety and Health Cincinnati Ohio USA
- Division of Field Studies & Engineering National Institute for Occupational Safety and Health Cincinnati Ohio USA
| | - Kevin W. Hanley
- Division of Field Studies & Engineering National Institute for Occupational Safety and Health Cincinnati Ohio USA
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Arroyave WD, Mehta SS, Guha N, Schwingl P, Taylor KW, Glenn B, Radke EG, Vilahur N, Carreón T, Nachman RM, Lunn RM. Challenges and recommendations on the conduct of systematic reviews of observational epidemiologic studies in environmental and occupational health. J Expo Sci Environ Epidemiol 2021; 31:21-30. [PMID: 32415298 PMCID: PMC7666644 DOI: 10.1038/s41370-020-0228-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 04/21/2020] [Accepted: 04/27/2020] [Indexed: 05/05/2023]
Abstract
Systematic reviews are powerful tools for drawing causal inference for evidence-based decision-making. Published systematic reviews and meta-analyses of environmental and occupational epidemiology studies have increased dramatically in recent years; however, the quality and utility of published reviews are variable. Most methodologies were adapted from clinical epidemiology and have not been adequately modified to evaluate and integrate evidence from observational epidemiology studies assessing environmental and occupational hazards, especially in evaluating the quality of exposure assessments. Although many reviews conduct a systematic and transparent assessment for the potential for bias, they are often deficient in subsequently integrating across a body of evidence. A cohesive review considers the impact of the direction and magnitude of potential biases on the results, systematically evaluates important scientific issues such as study sensitivity and effect modifiers, identifies how different studies complement each other, and assesses other potential sources of heterogeneity. Given these challenges of conducting informative systematic reviews of observational studies, we provide a series of specific recommendations based on practical examples for cohesive evidence integration to reach an overall conclusion on a body of evidence to better support policy making in public health.
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Affiliation(s)
| | - Suril S Mehta
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Neela Guha
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA
| | - Pam Schwingl
- Integrated Laboratory Systems, Morrisville, NC, USA
| | - Kyla W Taylor
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Barbara Glenn
- Center for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Washington, DC, USA
| | - Elizabeth G Radke
- Center for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Washington, DC, USA
| | - Nadia Vilahur
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Tania Carreón
- World Trade Center Health Program, National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | - Rebecca M Nachman
- Center for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Washington, DC, USA
| | - Ruth M Lunn
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
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7
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Daniels RD, Clouston SAP, Hall CB, Anderson KR, Bennett DA, Bromet EJ, Calvert GM, Carreón T, DeKosky ST, Diminich ED, Finch CE, Gandy S, Kreisl WC, Kritikos M, Kubale TL, Mielke MM, Peskind ER, Raskind MA, Richards M, Sano M, Santiago-Colón A, Sloan RP, Spiro A, Vasdev N, Luft BJ, Reissman DB. A Workshop on Cognitive Aging and Impairment in the 9/11-Exposed Population. Int J Environ Res Public Health 2021; 18:E681. [PMID: 33466931 PMCID: PMC7830144 DOI: 10.3390/ijerph18020681] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 01/09/2021] [Accepted: 01/12/2021] [Indexed: 12/11/2022]
Abstract
The terrorist attacks on 11 September 2001 potentially exposed more than 400,000 responders, workers, and residents to psychological and physical stressors, and numerous hazardous pollutants. In 2011, the World Trade Center Health Program (WTCHP) was mandated to monitor and treat persons with 9/11-related adverse health conditions and conduct research on physical and mental health conditions related to the attacks. Emerging evidence suggests that persons exposed to 9/11 may be at increased risk of developing mild cognitive impairment. To investigate further, the WTCHP convened a scientific workshop that examined the natural history of cognitive aging and impairment, biomarkers in the pathway of neurodegenerative diseases, the neuropathological changes associated with hazardous exposures, and the evidence of cognitive decline and impairment in the 9/11-exposed population. Invited participants included scientists actively involved in health-effects research of 9/11-exposed persons and other at-risk populations. Attendees shared relevant research results from their respective programs and discussed several options for enhancements to research and surveillance activities, including the development of a multi-institutional collaborative research network. The goal of this report is to outline the meeting's agenda and provide an overview of the presentation materials and group discussion.
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Affiliation(s)
- Robert D. Daniels
- World Trade Center Health Program, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Washington, DC 20201, USA; (K.R.A.); (G.M.C.); (T.C.); (T.L.K.); (A.S.-C.); (D.B.R.)
| | - Sean A. P. Clouston
- Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA; (S.A.P.C.); (E.J.B.); (E.D.D.); (M.K.); (B.J.L.)
| | - Charles B. Hall
- Department of Epidemiology & Population Health (Biostatistics), Albert Einstein College of Medicine, Bronx, NY 10461, USA;
| | - Kristi R. Anderson
- World Trade Center Health Program, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Washington, DC 20201, USA; (K.R.A.); (G.M.C.); (T.C.); (T.L.K.); (A.S.-C.); (D.B.R.)
| | - David A. Bennett
- Department of Neurological Sciences, Rush Medical College, Rush University, Chicago, IL 60612, USA;
| | - Evelyn J. Bromet
- Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA; (S.A.P.C.); (E.J.B.); (E.D.D.); (M.K.); (B.J.L.)
| | - Geoffrey M. Calvert
- World Trade Center Health Program, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Washington, DC 20201, USA; (K.R.A.); (G.M.C.); (T.C.); (T.L.K.); (A.S.-C.); (D.B.R.)
| | - Tania Carreón
- World Trade Center Health Program, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Washington, DC 20201, USA; (K.R.A.); (G.M.C.); (T.C.); (T.L.K.); (A.S.-C.); (D.B.R.)
| | - Steven T. DeKosky
- McKnight Brain Institute, University of Florida, Gainesville, FL 32611, USA;
| | - Erica D. Diminich
- Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA; (S.A.P.C.); (E.J.B.); (E.D.D.); (M.K.); (B.J.L.)
| | - Caleb E. Finch
- USC Leonard Davis School of Gerontology, Los Angeles, CA 90089, USA;
| | - Sam Gandy
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (S.G.); (M.S.)
| | - William C. Kreisl
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, New York, NY 10032, USA;
| | - Minos Kritikos
- Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA; (S.A.P.C.); (E.J.B.); (E.D.D.); (M.K.); (B.J.L.)
| | - Travis L. Kubale
- World Trade Center Health Program, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Washington, DC 20201, USA; (K.R.A.); (G.M.C.); (T.C.); (T.L.K.); (A.S.-C.); (D.B.R.)
| | - Michelle M. Mielke
- Division of Epidemiology and Department of Neurology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA;
| | - Elaine R. Peskind
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA;
| | - Murray A. Raskind
- Northwest Mental Illness Research, Education and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, WA 98108, USA;
| | - Marcus Richards
- Faculty of Population Health Sciences, University College London, London WC1E 6BT, UK;
| | - Mary Sano
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (S.G.); (M.S.)
| | - Albeliz Santiago-Colón
- World Trade Center Health Program, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Washington, DC 20201, USA; (K.R.A.); (G.M.C.); (T.C.); (T.L.K.); (A.S.-C.); (D.B.R.)
| | - Richard P. Sloan
- Division of Behavioral Medicine, Columbia University, New York, NY 10027, USA;
| | - Avron Spiro
- Boston University Schools of Public Health and Medicine and Veterans Affairs Boston Healthcare System, Boston, MA 02130, USA;
| | - Neil Vasdev
- Azrieli Centre for Neuro-Radiochemistry, Brain Health Imaging Centre, Centre for Addiction and Mental Health (CAMH) & Department of Psychiatry, University of Toronto, Toronto, ON M5S, Canada;
| | - Benjamin J. Luft
- Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA; (S.A.P.C.); (E.J.B.); (E.D.D.); (M.K.); (B.J.L.)
| | - Dori B. Reissman
- World Trade Center Health Program, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Washington, DC 20201, USA; (K.R.A.); (G.M.C.); (T.C.); (T.L.K.); (A.S.-C.); (D.B.R.)
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Lunn RM, Blask DE, Coogan AN, Figueiro MG, Gorman MR, Hall JE, Hansen J, Nelson RJ, Panda S, Smolensky MH, Stevens RG, Turek FW, Vermeulen R, Carreón T, Caruso CC, Lawson CC, Thayer KA, Twery MJ, Ewens AD, Garner SC, Schwingl PJ, Boyd WA. Health consequences of electric lighting practices in the modern world: A report on the National Toxicology Program's workshop on shift work at night, artificial light at night, and circadian disruption. Sci Total Environ 2017; 607-608:1073-1084. [PMID: 28724246 PMCID: PMC5587396 DOI: 10.1016/j.scitotenv.2017.07.056] [Citation(s) in RCA: 204] [Impact Index Per Article: 29.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 07/07/2017] [Accepted: 07/07/2017] [Indexed: 05/24/2023]
Abstract
The invention of electric light has facilitated a society in which people work, sleep, eat, and play at all hours of the 24-hour day. Although electric light clearly has benefited humankind, exposures to electric light, especially light at night (LAN), may disrupt sleep and biological processes controlled by endogenous circadian clocks, potentially resulting in adverse health outcomes. Many of the studies evaluating adverse health effects have been conducted among night- and rotating-shift workers, because this scenario gives rise to significant exposure to LAN. Because of the complexity of this topic, the National Toxicology Program convened an expert panel at a public workshop entitled "Shift Work at Night, Artificial Light at Night, and Circadian Disruption" to obtain input on conducting literature-based health hazard assessments and to identify data gaps and research needs. The Panel suggested describing light both as a direct effector of endogenous circadian clocks and rhythms and as an enabler of additional activities or behaviors that may lead to circadian disruption, such as night-shift work and atypical and inconsistent sleep-wake patterns that can lead to social jet lag. Future studies should more comprehensively characterize and measure the relevant light-related exposures and link these exposures to both time-independent biomarkers of circadian disruption and biomarkers of adverse health outcomes. This information should lead to improvements in human epidemiological and animal or in vitro models, more rigorous health hazard assessments, and intervention strategies to minimize the occurrence of adverse health outcomes due to these exposures.
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Affiliation(s)
- Ruth M Lunn
- Office of the Report on Carcinogens, Division of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, United States
| | - David E Blask
- Department of Structural and Cellular Biology, Laboratory of Chrono-Neuroendocrine Oncology, Tulane University School of Medicine, New Orleans, LA, United States
| | - Andrew N Coogan
- Maynooth University Department of Psychology, National University of Ireland, Maynooth, County Kildare, Ireland
| | - Mariana G Figueiro
- Light and Health Program, Lighting Research Center, Rensselaer Polytechnic Institute, Troy, NY, United States
| | - Michael R Gorman
- Department of Psychology and Center for Circadian Biology, University of California, San Diego, CA, United States
| | - Janet E Hall
- Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States
| | - Johnni Hansen
- Danish Cancer Society Research Centre, Copenhagen, Denmark
| | - Randy J Nelson
- Department of Neuroscience, Neuroscience Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | | | - Michael H Smolensky
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, United States; Sleep Medicine, The University of Texas-Houston McGovern School of Medicine, Houston, TX, United States
| | - Richard G Stevens
- School of Medicine, University of Connecticut, Farmington, CT, United States
| | - Fred W Turek
- Center for Sleep & Circadian Biology, Northwestern University, Evanston, IL, United States
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Tania Carreón
- National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention, Cincinnati, OH, United States
| | - Claire C Caruso
- National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention, Cincinnati, OH, United States
| | - Christina C Lawson
- National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention, Cincinnati, OH, United States
| | - Kristina A Thayer
- Office of Health Assessment and Translation, Division of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, United States
| | - Michael J Twery
- National Center on Sleep Disorders Research, Division of Lung Diseases, National Heart, Lung, and Blood Institute (NHLBI), Bethesda, MD, United States
| | - Andrew D Ewens
- Contractor in support of the NIEHS Report on Carcinogens, Integrated Laboratory Systems (ILS), Durham, NC, United States
| | - Sanford C Garner
- Contractor in support of the NIEHS Report on Carcinogens, Integrated Laboratory Systems (ILS), Durham, NC, United States
| | - Pamela J Schwingl
- Contractor in support of the NIEHS Report on Carcinogens, Integrated Laboratory Systems (ILS), Durham, NC, United States
| | - Windy A Boyd
- Office of Health Assessment and Translation, Division of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, United States.
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9
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DeBord DG, Carreón T, Lentz TJ, Middendorf PJ, Hoover MD, Schulte PA. Use of the "Exposome" in the Practice of Epidemiology: A Primer on -Omic Technologies. Am J Epidemiol 2016; 184:302-14. [PMID: 27519539 DOI: 10.1093/aje/kwv325] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Accepted: 11/17/2015] [Indexed: 12/13/2022] Open
Abstract
The exposome has been defined as the totality of exposures individuals experience over the course of their lives and how those exposures affect health. Three domains of the exposome have been identified: internal, specific external, and general external. Internal factors are those that are unique to the individual, and specific external factors include occupational exposures and lifestyle factors. The general external domain includes sociodemographic factors such as educational level and financial status. Eliciting information on the exposome is daunting and not feasible at present; the undertaking may never be fully realized. A variety of tools have been identified to measure the exposome. Biomarker measurements will be one of the major tools in exposomic studies. However, exposure data can also be obtained from other sources such as sensors, geographic information systems, and conventional tools such as survey instruments. Proof-of-concept studies are being conducted that show the promise of exposomic investigation and the integration of different kinds of data. The inherent value of exposomic data in epidemiologic studies is that they can provide greater understanding of the relationships among a broad range of chemical and other risk factors and health conditions and ultimately lead to more effective and efficient disease prevention and control.
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10
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Machiela MJ, Zhou W, Karlins E, Sampson JN, Freedman ND, Yang Q, Hicks B, Dagnall C, Hautman C, Jacobs KB, Abnet CC, Aldrich MC, Amos C, Amundadottir LT, Arslan AA, Beane-Freeman LE, Berndt SI, Black A, Blot WJ, Bock CH, Bracci PM, Brinton LA, Bueno-de-Mesquita HB, Burdett L, Buring JE, Butler MA, Canzian F, Carreón T, Chaffee KG, Chang IS, Chatterjee N, Chen C, Chen C, Chen K, Chung CC, Cook LS, Crous Bou M, Cullen M, Davis FG, De Vivo I, Ding T, Doherty J, Duell EJ, Epstein CG, Fan JH, Figueroa JD, Fraumeni JF, Friedenreich CM, Fuchs CS, Gallinger S, Gao YT, Gapstur SM, Garcia-Closas M, Gaudet MM, Gaziano JM, Giles GG, Gillanders EM, Giovannucci EL, Goldin L, Goldstein AM, Haiman CA, Hallmans G, Hankinson SE, Harris CC, Henriksson R, Holly EA, Hong YC, Hoover RN, Hsiung CA, Hu N, Hu W, Hunter DJ, Hutchinson A, Jenab M, Johansen C, Khaw KT, Kim HN, Kim YH, Kim YT, Klein AP, Klein R, Koh WP, Kolonel LN, Kooperberg C, Kraft P, Krogh V, Kurtz RC, LaCroix A, Lan Q, Landi MT, Marchand LL, Li D, Liang X, Liao LM, Lin D, Liu J, Lissowska J, Lu L, Magliocco AM, Malats N, Matsuo K, McNeill LH, McWilliams RR, Melin BS, Mirabello L, Moore L, Olson SH, Orlow I, Park JY, Patiño-Garcia A, Peplonska B, Peters U, Petersen GM, Pooler L, Prescott J, Prokunina-Olsson L, Purdue MP, Qiao YL, Rajaraman P, Real FX, Riboli E, Risch HA, Rodriguez-Santiago B, Ruder AM, Savage SA, Schumacher F, Schwartz AG, Schwartz KL, Seow A, Wendy Setiawan V, Severi G, Shen H, Sheng X, Shin MH, Shu XO, Silverman DT, Spitz MR, Stevens VL, Stolzenberg-Solomon R, Stram D, Tang ZZ, Taylor PR, Teras LR, Tobias GS, Van Den Berg D, Visvanathan K, Wacholder S, Wang JC, Wang Z, Wentzensen N, Wheeler W, White E, Wiencke JK, Wolpin BM, Wong MP, Wu C, Wu T, Wu X, Wu YL, Wunder JS, Xia L, Yang HP, Yang PC, Yu K, Zanetti KA, Zeleniuch-Jacquotte A, Zheng W, Zhou B, Ziegler RG, Perez-Jurado LA, Caporaso NE, Rothman N, Tucker M, Dean MC, Yeager M, Chanock SJ. Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome. Nat Commun 2016; 7:11843. [PMID: 27291797 PMCID: PMC4909985 DOI: 10.1038/ncomms11843] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2015] [Accepted: 05/06/2016] [Indexed: 02/07/2023] Open
Abstract
To investigate large structural clonal mosaicism of chromosome X, we analysed the SNP microarray intensity data of 38,303 women from cancer genome-wide association studies (20,878 cases and 17,425 controls) and detected 124 mosaic X events >2 Mb in 97 (0.25%) women. Here we show rates for X-chromosome mosaicism are four times higher than mean autosomal rates; X mosaic events more often include the entire chromosome and participants with X events more likely harbour autosomal mosaic events. X mosaicism frequency increases with age (0.11% in 50-year olds; 0.45% in 75-year olds), as reported for Y and autosomes. Methylation array analyses of 33 women with X mosaicism indicate events preferentially involve the inactive X chromosome. Our results provide further evidence that the sex chromosomes undergo mosaic events more frequently than autosomes, which could have implications for understanding the underlying mechanisms of mosaic events and their possible contribution to risk for chronic diseases. It is unclear how often genetic mosaicism of chromosome X arises. Here, the authors examine women with cancer and cancer-free controls and show that X chromosome mosaicism occurs more frequently than on autosomes, especially on the inactive X chromosome, but is not linked to non-haematologic cancer risk
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Affiliation(s)
- Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.,Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Eric Karlins
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.,Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Qi Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.,Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Belynda Hicks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.,Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Casey Dagnall
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.,Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Christopher Hautman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.,Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Kevin B Jacobs
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA.,Bioinformed, LLC, Gaithersburg, Maryland 20877, USA
| | - Christian C Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA.,Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA
| | - Christopher Amos
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Laufey T Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Alan A Arslan
- Department of Obstetrics and Gynecology, New York University School of Medicine, New York, New York 10016, USA.,Department of Environmental Medicine, New York University School of Medicine, New York, New York 10016, USA.,New York University Cancer Institute, New York, New York 10016, USA
| | - Laura E Beane-Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA.,International Epidemiology Institute, Rockville, Maryland 20850, USA
| | - Cathryn H Bock
- Karmanos Cancer Institute and Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan 48201, USA
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94143, USA
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - H Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), 3721 Bilthoven, The Netherlands.,Department of Gastroenterology and Hepatology, University Medical Center, 3584 CX Utrecht, The Netherlands.,Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London SW7 2AZ, UK.,Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Laurie Burdett
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.,Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Julie E Buring
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
| | - Mary A Butler
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio 45226, USA
| | - Federico Canzian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Tania Carreón
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio 45226, USA
| | - Kari G Chaffee
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan 35053, Taiwan
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Constance Chen
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300040, China
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.,Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Linda S Cook
- University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - Marta Crous Bou
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts 02115, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Michael Cullen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.,Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Faith G Davis
- Department of Public Health Sciences, School of Public Health, University of Alberta, Edmonton, Alberta, Canada T6G 2R3
| | - Immaculata De Vivo
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts 02115, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Ti Ding
- Shanxi Cancer Hospital, Taiyuan, Shanxi 030013, China
| | - Jennifer Doherty
- Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire 03755, USA
| | - Eric J Duell
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Bellvitge Biomedical Research Institute, Catalan Institute of Oncology (ICO-IDIBELL), 08908 Barcelona, Spain
| | - Caroline G Epstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Jin-Hu Fan
- Shanghai Cancer Institute, Shanghai 200032, China
| | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Christine M Friedenreich
- Department of Population Health Research, Cancer Control Alberta, Alberta Health Services, Calgary, Alberta, Canada T2N 2T9
| | - Charles S Fuchs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
| | - Steven Gallinger
- Fred A Litwin Centre for Cancer Genetics, Samuel Lunenfeld Research Institute, Toronto, Ontario, Canada M5G 1X5
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotaong University School of Medicine, Shanghai 200032, China
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Montserrat Garcia-Closas
- Division of Genetics and Epidemiology, and Breakthrough Breast Cancer Centre, Institute for Cancer Research, London SM2 5NG, UK
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - J Michael Gaziano
- Divisions of Preventive Medicine and Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.,Massachusetts Veterans Epidemiology Research and Information Center/VA Cooperative Studies Programs, Veterans Affairs Boston Healthcare System, Boston, Massachusetts 02130, USA
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria &Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Elizabeth M Gillanders
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Edward L Giovannucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.,Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Lynn Goldin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Biostatistics Division, Keck School of Medicine at the University of Southern California, Los Angeles, California 90033, USA
| | - Goran Hallmans
- Department of Public Health and Clinical Medicine/Nutritional Research, Umeå University, 901 87 Umeå, Sweden
| | - Susan E Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.,Division of Biostatistics and Epidemiology, University of Massachusetts School of Public Health and Health Sciences, Amherst, Massachusetts 01003, USA
| | - Curtis C Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Roger Henriksson
- Department of Radiation Sciences, Oncology, Umeå University, 901 87 Umeå, Sweden
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94143, USA
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 151-742, Republic of Korea
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Chao A Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts 02115, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.,Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.,Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Mazda Jenab
- International Agency for Research on Cancer (IARC-WHO), 69372 Lyon, France
| | - Christoffer Johansen
- Oncology, Finsen Centre, Rigshospitalet, 2100 Copenhagen, Denmark.,Unit of Survivorship Research, The Danish Cancer Society Research Centre, 2100 Copenhagen, Denmark
| | - Kay-Tee Khaw
- School of Clinical Medicine, University of Cambridge, Cambridge CB2 1TN, UK
| | - Hee Nam Kim
- Center for Creative Biomedical Scientists, Chonnam National University, Gwangju 500-757, Republic of Korea
| | - Yeul Hong Kim
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul 151-742, Republic of Korea
| | - Young Tae Kim
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Alison P Klein
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Robert Klein
- Program in Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, New York, 10065, USA
| | - Woon-Puay Koh
- Duke-NUS Graduate Medical School, Singapore 169857, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077, Singapore
| | - Laurence N Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Vittorio Krogh
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano 20133, Italy
| | - Robert C Kurtz
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA
| | - Andrea LaCroix
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Xiaolin Liang
- Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Dongxin Lin
- Department of Etiology &Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.,State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Jianjun Liu
- Department of Human Genetics, Genome Institute of Singapore 138672, Singapore.,School of Life Sciences, Anhui Medical University, Hefei 230032, China
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, Maria Sklodowska-Curie Cancer Center and Institute of Oncology, Warsaw 02-781, Poland
| | - Lingeng Lu
- Yale School of Public Health, New Haven, Connecticut 06510, USA
| | - Anthony M Magliocco
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612, USA
| | - Nuria Malats
- Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain
| | - Keitaro Matsuo
- Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya 464-8681, Japan
| | - Lorna H McNeill
- Department of Health Disparities Research, Division of OVP, Cancer Prevention and Population Sciences, and Center for Community-Engaged Translational Research, Duncan Family Institute, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | | | - Beatrice S Melin
- Department of Radiation Sciences, Oncology, Umeå University, 901 87 Umeå, Sweden
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Lee Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Sara H Olson
- Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA
| | - Irene Orlow
- Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA
| | - Jae Yong Park
- Lung Cancer Center, Kyungpook National University Medical Center, Daegu 101, Republic of Korea
| | - Ana Patiño-Garcia
- Department of Pediatrics, University Clinic of Navarra, Universidad de Navarra, IdiSNA, Navarra Institute for Health Research, Pamplona 31080, Spain
| | - Beata Peplonska
- Nofer Institute of Occupational Medicine, Lodz 91-348, Poland
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Gloria M Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Loreall Pooler
- University of Southern California, Los Angeles, California 90007, USA
| | - Jennifer Prescott
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts 02115, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Ludmila Prokunina-Olsson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - You-Lin Qiao
- Department of Epidemiology, Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Preetha Rajaraman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Francisco X Real
- Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain.,Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08002, Spain
| | - Elio Riboli
- Division of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London SW7 2AZ, UK
| | - Harvey A Risch
- Yale School of Public Health, New Haven, Connecticut 06510, USA
| | - Benjamin Rodriguez-Santiago
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08002, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, 28029, Spain.,Quantitative Genomic Medicine Laboratory, qGenomics, Barcelona 08003, Spain
| | - Avima M Ruder
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio 45226, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Fredrick Schumacher
- Department of Preventive Medicine, Biostatistics Division, Keck School of Medicine at the University of Southern California, Los Angeles, California 90033, USA
| | - Ann G Schwartz
- Karmanos Cancer Institute and Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan 48201, USA
| | - Kendra L Schwartz
- Karmanos Cancer Institute and Department of Family Medicine and Public Health Sciences, Wayne State University School of Medicine, Detroit, Michigan 48201, USA
| | - Adeline Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077, Singapore
| | - Veronica Wendy Setiawan
- Department of Preventive Medicine, Biostatistics Division, Keck School of Medicine at the University of Southern California, Los Angeles, California 90033, USA
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council Victoria &Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3010, Australia.,Human Genetics Foundation (HuGeF), Torino, 10126, Italy
| | - Hongbing Shen
- Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing 210029, China.,Department of Epidemiology, Nanjing Medical University School of Public Health, Nanjing 210029, China
| | - Xin Sheng
- University of Southern California, Los Angeles, California 90007, USA
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwanju 501-746, Republic of Korea
| | - Xiao-Ou Shu
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | | | - Victoria L Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Rachael Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Daniel Stram
- Department of Preventive Medicine, Biostatistics Division, Keck School of Medicine at the University of Southern California, Los Angeles, California 90033, USA
| | - Ze-Zhong Tang
- Shanxi Cancer Hospital, Taiyuan, Shanxi 030013, China
| | - Philip R Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Lauren R Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Geoffrey S Tobias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - David Van Den Berg
- Department of Preventive Medicine, Biostatistics Division, Keck School of Medicine at the University of Southern California, Los Angeles, California 90033, USA
| | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21218, USA
| | - Sholom Wacholder
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Jiu-Cun Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China.,State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.,Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - William Wheeler
- Information Management Services Inc., Calverton, Maryland, 20904, USA
| | - Emily White
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - John K Wiencke
- University of California San Francisco, San Francisco, California 94143, USA
| | - Brian M Wolpin
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
| | - Maria Pik Wong
- Department of Pathology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Chen Wu
- Department of Etiology &Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.,State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Tangchun Wu
- Institute of Occupational Medicine and Ministry of Education Key Laboratory for Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan 430400, China
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong General Hospital &Guangdong Academy of Medical Sciences, Guangzhou 515200, China
| | - Jay S Wunder
- Guangdong Lung Cancer Institute, Guangdong General Hospital &Guangdong Academy of Medical Sciences, Guangzhou 515200, China
| | - Lucy Xia
- University of Southern California, Los Angeles, California 90007, USA
| | - Hannah P Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Pan-Chyr Yang
- Division of Urologic Surgery, Washington University School of Medicine, St Louis, Missouri 63110, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Krista A Zanetti
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Anne Zeleniuch-Jacquotte
- New York University Cancer Institute, New York, New York 10016, USA.,Department of Population Health, New York University School of Medicine, New York, New York 10016, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110001, China
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Luis A Perez-Jurado
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08002, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, 28029, Spain
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Margaret Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Michael C Dean
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.,Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
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11
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Wang Z, Rajaraman P, Melin BS, Chung CC, Zhang W, McKean-Cowdin R, Michaud D, Yeager M, Ahlbom A, Albanes D, Andersson U, Freeman LEB, Buring JE, Butler MA, Carreón T, Feychting M, Gapstur SM, Gaziano JM, Giles GG, Hallmans G, Henriksson R, Hoffman-Bolton J, Inskip PD, Kitahara CM, Marchand LL, Linet MS, Li S, Peters U, Purdue MP, Rothman N, Ruder AM, Sesso HD, Severi G, Stampfer M, Stevens VL, Visvanathan K, Wang SS, White E, Zeleniuch-Jacquotte A, Hoover R, Fraumeni JF, Chatterjee N, Hartge P, Chanock SJ. Further Confirmation of Germline Glioma Risk Variant rs78378222 in TP53 and Its Implication in Tumor Tissues via Integrative Analysis of TCGA Data. Hum Mutat 2015; 36:684-8. [PMID: 25907361 DOI: 10.1002/humu.22799] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Accepted: 04/08/2015] [Indexed: 01/06/2023]
Abstract
We confirmed strong association of rs78378222:A>C (per allele odds ratio [OR] = 3.14; P = 6.48 × 10(-11) ), a germline rare single-nucleotide polymorphism (SNP) in TP53, via imputation of a genome-wide association study of glioma (1,856 cases and 4,955 controls). We subsequently performed integrative analyses on the Cancer Genome Atlas (TCGA) data for GBM (glioblastoma multiforme) and LUAD (lung adenocarcinoma). Based on SNP data, we imputed genotypes for rs78378222 and selected individuals carrying rare risk allele (C). Using RNA sequencing data, we observed aberrant transcripts with ∼3 kb longer than normal for those individuals. Using exome sequencing data, we further showed that loss of haplotype carrying common protective allele (A) occurred somatically in GBM but not in LUAD. Our bioinformatic analysis suggests rare risk allele (C) disrupts mRNA termination, and an allelic loss of a genomic region harboring common protective allele (A) occurs during tumor initiation or progression for glioma.
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Affiliation(s)
- Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.,Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc, Gaithersburg, Maryland
| | - Preetha Rajaraman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Beatrice S Melin
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.,Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc, Gaithersburg, Maryland
| | - Weijia Zhang
- Department of Medicine Bioinformatics Core, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Roberta McKean-Cowdin
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Dominique Michaud
- Department of Epidemiology, Division of Biology and Medicine, Brown University, Providence, Rhode Island.,School of Public Health, Imperial College London, London, UK
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.,Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc, Gaithersburg, Maryland
| | - Anders Ahlbom
- Division of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Ulrika Andersson
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Julie E Buring
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Mary Ann Butler
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio
| | - Tania Carreón
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio
| | - Maria Feychting
- Division of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - J Michael Gaziano
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.,Massachusetts Veteran's Epidemiology, Research and Information Center, Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Boston, Massachusetts
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council of Victoria, Melbourne, Australia.,Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, University of Melbourne, Melbourne, Australia
| | - Goran Hallmans
- Department of Public Health and Clinical Medicine/Nutritional Research, Umeå University, Umeå, Sweden
| | - Roger Henriksson
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | | | - Peter D Inskip
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Cari M Kitahara
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | | | - Martha S Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Shengchao Li
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.,Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc, Gaithersburg, Maryland
| | - Ulrike Peters
- Fred Hutchinson Cancer Research Center, Seattle, Washington.,Department of Epidemiology, University of Washington, Seattle, Washington
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Avima M Ruder
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio
| | - Howard D Sesso
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council of Victoria, Melbourne, Australia.,Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, University of Melbourne, Melbourne, Australia
| | - Meir Stampfer
- Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Departments of Epidemiology and Nutrition, Harvard School of Public Health, Boston, Massachusetts
| | - Victoria L Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.,Johns Hopkins Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland
| | - Sophia S Wang
- Division of Cancer Etiology, Department of Population Sciences, City of Hope and the Beckman Research Institute, Duarte, California
| | - Emily White
- Fred Hutchinson Cancer Research Center, Seattle, Washington.,Department of Epidemiology, University of Washington, Seattle, Washington
| | - Anne Zeleniuch-Jacquotte
- Division of Epidemiology, Department of Environmental Medicine, NYU School of Medicine, New York, New York
| | - Robert Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
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12
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Machiela MJ, Zhou W, Sampson JN, Dean MC, Jacobs KB, Black A, Brinton LA, Chang IS, Chen C, Chen C, Chen K, Cook LS, Crous Bou M, De Vivo I, Doherty J, Friedenreich CM, Gaudet MM, Haiman CA, Hankinson SE, Hartge P, Henderson BE, Hong YC, Hosgood HD, Hsiung CA, Hu W, Hunter DJ, Jessop L, Kim HN, Kim YH, Kim YT, Klein R, Kraft P, Lan Q, Lin D, Liu J, Le Marchand L, Liang X, Lissowska J, Lu L, Magliocco AM, Matsuo K, Olson SH, Orlow I, Park JY, Pooler L, Prescott J, Rastogi R, Risch HA, Schumacher F, Seow A, Setiawan VW, Shen H, Sheng X, Shin MH, Shu XO, VanDen Berg D, Wang JC, Wentzensen N, Wong MP, Wu C, Wu T, Wu YL, Xia L, Yang HP, Yang PC, Zheng W, Zhou B, Abnet CC, Albanes D, Aldrich MC, Amos C, Amundadottir LT, Berndt SI, Blot WJ, Bock CH, Bracci PM, Burdett L, Buring JE, Butler MA, Carreón T, Chatterjee N, Chung CC, Cook MB, Cullen M, Davis FG, Ding T, Duell EJ, Epstein CG, Fan JH, Figueroa JD, Fraumeni JF, Freedman ND, Fuchs CS, Gao YT, Gapstur SM, Patiño-Garcia A, Garcia-Closas M, Gaziano JM, Giles GG, Gillanders EM, Giovannucci EL, Goldin L, Goldstein AM, Greene MH, Hallmans G, Harris CC, Henriksson R, Holly EA, Hoover RN, Hu N, Hutchinson A, Jenab M, Johansen C, Khaw KT, Koh WP, Kolonel LN, Kooperberg C, Krogh V, Kurtz RC, LaCroix A, Landgren A, Landi MT, Li D, Liao LM, Malats N, McGlynn KA, McNeill LH, McWilliams RR, Melin BS, Mirabello L, Peplonska B, Peters U, Petersen GM, Prokunina-Olsson L, Purdue M, Qiao YL, Rabe KG, Rajaraman P, Real FX, Riboli E, Rodríguez-Santiago B, Rothman N, Ruder AM, Savage SA, Schwartz AG, Schwartz KL, Sesso HD, Severi G, Silverman DT, Spitz MR, Stevens VL, Stolzenberg-Solomon R, Stram D, Tang ZZ, Taylor PR, Teras LR, Tobias GS, Viswanathan K, Wacholder S, Wang Z, Weinstein SJ, Wheeler W, White E, Wiencke JK, Wolpin BM, Wu X, Wunder JS, Yu K, Zanetti KA, Zeleniuch-Jacquotte A, Ziegler RG, de Andrade M, Barnes KC, Beaty TH, Bierut LJ, Desch KC, Doheny KF, Feenstra B, Ginsburg D, Heit JA, Kang JH, Laurie CA, Li JZ, Lowe WL, Marazita ML, Melbye M, Mirel DB, Murray JC, Nelson SC, Pasquale LR, Rice K, Wiggs JL, Wise A, Tucker M, Pérez-Jurado LA, Laurie CC, Caporaso NE, Yeager M, Chanock SJ. Characterization of large structural genetic mosaicism in human autosomes. Am J Hum Genet 2015; 96:487-97. [PMID: 25748358 PMCID: PMC4375431 DOI: 10.1016/j.ajhg.2015.01.011] [Citation(s) in RCA: 87] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2014] [Accepted: 01/12/2015] [Indexed: 01/30/2023] Open
Abstract
Analyses of genome-wide association study (GWAS) data have revealed that detectable genetic mosaicism involving large (>2 Mb) structural autosomal alterations occurs in a fraction of individuals. We present results for a set of 24,849 genotyped individuals (total GWAS set II [TGSII]) in whom 341 large autosomal abnormalities were observed in 168 (0.68%) individuals. Merging data from the new TGSII set with data from two prior reports (the Gene-Environment Association Studies and the total GWAS set I) generated a large dataset of 127,179 individuals; we then conducted a meta-analysis to investigate the patterns of detectable autosomal mosaicism (n = 1,315 events in 925 [0.73%] individuals). Restricting to events >2 Mb in size, we observed an increase in event frequency as event size decreased. The combined results underscore that the rate of detectable mosaicism increases with age (p value = 5.5 × 10(-31)) and is higher in men (p value = 0.002) but lower in participants of African ancestry (p value = 0.003). In a subset of 47 individuals from whom serial samples were collected up to 6 years apart, complex changes were noted over time and showed an overall increase in the proportion of mosaic cells as age increased. Our large combined sample allowed for a unique ability to characterize detectable genetic mosaicism involving large structural events and strengthens the emerging evidence of non-random erosion of the genome in the aging population.
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Affiliation(s)
- Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Michael C Dean
- Laboratory of Experimental Immunology, Center for Cancer Research, National Cancer Institute at Frederick, NIH, Frederick, MD 21702, USA
| | - Kevin B Jacobs
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA; BioInformed LLC, Gaithersburg, MD 20877, USA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan 35053, Taiwan, ROC
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Constance Chen
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300040, People's Republic of China
| | - Linda S Cook
- University of New Mexico, Albuquerque, NM 87131, USA
| | - Marta Crous Bou
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Immaculata De Vivo
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Jennifer Doherty
- Geisel School of Medicine, Dartmouth College, Lebanon, NH 03755, USA
| | - Christine M Friedenreich
- Department of Population Health Research, CancerControl Alberta, Alberta Health Services, Calgary, AB T2N 2T9, Canada
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Susan E Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Brian E Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Yun-Chul Hong
- Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul 151-742, Republic of Korea
| | - H Dean Hosgood
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Chao A Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan, ROC
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Lea Jessop
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Hee Nam Kim
- Center for Creative Biomedical Scientists, Chonnam National University, Gwangju 500-757, Republic of Korea
| | - Yeul Hong Kim
- Division of Oncology/Hematology, Department of Internal Medicine, College of Medicine, Korea University Anam Hospital, Seoul 151-742, Republic of Korea
| | - Young Tae Kim
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, College of Medicine, Seoul National University, Seoul 151-742, Republic of Korea
| | - Robert Klein
- Program in Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Dongxin Lin
- Department of Etiology & Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People's Republic of China; State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People's Republic of China
| | - Jianjun Liu
- Department of Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore; School of Life Sciences, Anhui Medical University, Hefei 230032, People's Republic of China
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Xiaolin Liang
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, Maria Sklodowska-Curie Cancer Center and Institute of Oncology, Warsaw 02-781, Poland
| | - Lingeng Lu
- Yale School of Public Health, New Haven, CT 06510, USA
| | | | - Keitaro Matsuo
- Department of Preventive Medicine, Faculty of Medical Sciences, Kyushu University, Fukuoka 819-0395, Japan
| | - Sara H Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Irene Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jae Yong Park
- Lung Cancer Center, Kyungpook National University Medical Center, Daegu 101, Republic of Korea
| | - Loreall Pooler
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90007, USA
| | - Jennifer Prescott
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Radhai Rastogi
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | | | - Fredrick Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Adeline Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077, Singapore
| | - Veronica Wendy Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Hongbing Shen
- Jiangsu Key Laboratory of Cancer Biomarkers, Prevention, and Treatment, Nanjing Medical University, Nanjing 210029, People's Republic of China; Ministry of Education Key Laboratory of Modern Toxicology, Nanjing Medical University, Nanjing 210029, People's Republic of China
| | - Xin Sheng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90007, USA
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwanju 501-746, Republic of Korea
| | - Xiao-Ou Shu
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - David VanDen Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Jiu-Cun Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, People's Republic of China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200433, People's Republic of China
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Maria Pik Wong
- Department of Pathology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, People's Republic of China
| | - Chen Wu
- Department of Etiology & Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People's Republic of China; State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People's Republic of China
| | - Tangchun Wu
- Institute of Occupational Medicine and Ministry of Education Key Laboratory for Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan 430400, People's Republic of China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou 515200, People's Republic of China
| | - Lucy Xia
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90007, USA
| | - Hannah P Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Pan-Chyr Yang
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei 10617, Taiwan, ROC
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110001, People's Republic of China
| | - Christian C Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Melinda C Aldrich
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Thoracic Surgery, School of Medicine, Vanderbilt University, Nashville, TN 37232, USA
| | - Christopher Amos
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Laufey T Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; International Epidemiology Institute, Rockville, MD 20850, USA
| | - Cathryn H Bock
- Karmanos Cancer Institute and Department of Oncology, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Laurie Burdett
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Julie E Buring
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Mary A Butler
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH 45226, USA
| | - Tania Carreón
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH 45226, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Michael B Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Michael Cullen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Faith G Davis
- Department of Public Health Sciences, School of Public Health, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Ti Ding
- Shanxi Cancer Hospital, Taiyuan, Shanxi 030013, People's Republic of China
| | - Eric J Duell
- Unit of Nutrition, Environment, and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute,, Barcelona 08908, Spain
| | - Caroline G Epstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Jin-Hu Fan
- Shanghai Cancer Institute, Shanghai 200032, People's Republic of China
| | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Charles S Fuchs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiaotaong University Shanghai 200032, People's Republic of China
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Ana Patiño-Garcia
- Department of Pediatrics, University Clinic of Navarra, Universidad de Navarra, Pamplona 31080, Spain
| | - Montserrat Garcia-Closas
- Division of Genetics and Epidemiology and Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, London, Surrey SM2 5NG, UK
| | - J Michael Gaziano
- Divisions of Preventive Medicine and Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Massachusetts Veterans Epidemiology Research and Information Center and Cooperative Studies Programs, Veterans Affairs Boston Healthcare System, Boston, MA 02130, USA
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Elizabeth M Gillanders
- Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Edward L Giovannucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - Lynn Goldin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Mark H Greene
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Goran Hallmans
- Nutritional Research Unit, Department of Public Health and Clinical Medicine, Umeå University, Umeå 901 87, Sweden
| | - Curtis C Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Roger Henriksson
- Department of Oncology, Department of Radiation Sciences, Umeå University, Umeå 901 87, Sweden
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Mazda Jenab
- International Agency for Research on Cancer, Lyon 69372, France
| | - Christoffer Johansen
- Department of Oncology, Finsen Centre, Rigshospitalet, Copenhagen 2100, Denmark; Unit of Survivorship Research, Danish Cancer Society Research Centre, Copenhagen 2100, Denmark
| | - Kay-Tee Khaw
- School of Clinical Medicine, University of Cambridge, Cambridge CB2 1TN, UK
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077, Singapore; Duke-NUS Graduate Medical School, Singapore 169857, Singapore
| | - Laurence N Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Vittorio Krogh
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano 20133, Italy
| | - Robert C Kurtz
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Andrea LaCroix
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Annelie Landgren
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Nuria Malats
- Spanish National Cancer Research Centre, Madrid 28029, Spain
| | - Katherine A McGlynn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Lorna H McNeill
- Department of Health Disparities Research, Division of OVP, Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Community-Engaged Translational Research, Duncan Family Institute, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | - Beatrice S Melin
- Department of Oncology, Department of Radiation Sciences, Umeå University, Umeå 901 87, Sweden
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Beata Peplonska
- Nofer Institute of Occupational Medicine, Lodz 91-348, Poland
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Gloria M Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Ludmila Prokunina-Olsson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Mark Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - You-Lin Qiao
- Department of Epidemiology, Cancer Institute, Chinese Academy of Medical Sciences, Beijing 100730, People's Republic of China
| | - Kari G Rabe
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Preetha Rajaraman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Francisco X Real
- Spanish National Cancer Research Centre, Madrid 28029, Spain; Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08003, Spain
| | - Elio Riboli
- Division of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London SW7 2AZ, UK
| | - Benjamín Rodríguez-Santiago
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08003, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras, Barcelona 08003, Spain; Quantitative Genomic Medicine Laboratory, qGenomics, Barcelona 08003, Spain
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Avima M Ruder
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH 45226, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Ann G Schwartz
- Karmanos Cancer Institute and Department of Oncology, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Kendra L Schwartz
- Karmanos Cancer Institute and Department of Family Medicine and Public Health Sciences, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Howard D Sesso
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council Victoria and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia; Human Genetics Foundation, Torino 10126, Italy
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | | | - Victoria L Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | | | - Daniel Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Ze-Zhong Tang
- Shanxi Cancer Hospital, Taiyuan, Shanxi 030013, People's Republic of China
| | - Philip R Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Lauren R Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Geoffrey S Tobias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Kala Viswanathan
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Sholom Wacholder
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - William Wheeler
- Information Management Services Inc., Calverton, MD 20904, USA
| | - Emily White
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - John K Wiencke
- University of California, San Francisco, San Francisco, CA 94143, USA
| | - Brian M Wolpin
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jay S Wunder
- Division of Urologic Surgery, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Krista A Zanetti
- Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, School of Medicine, New York University, New York, NY 10016, USA; Perlmutter Cancer Institute, New York University, New York, NY 10016, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Mariza de Andrade
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Kathleen C Barnes
- School of Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Terri H Beaty
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Laura J Bierut
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Karl C Desch
- Department of Pediatrics and Communicable Diseases, C.S. Mott Children's Hospital, University of Michigan, Ann Arbor, MI 48109, USA
| | - Kimberly F Doheny
- Center for Inherited Disease Research, Institute of Genetic Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
| | - David Ginsburg
- Howard Hughes Medical Institute and Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - John A Heit
- Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Jae H Kang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Cecilia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Jun Z Li
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - William L Lowe
- Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60208, USA
| | - Mary L Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral Biology School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark; Department of Medicine, School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Daniel B Mirel
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Jeffrey C Murray
- Department of Pediatrics, University of Iowa, Iowa City, IA 52242, USA
| | - Sarah C Nelson
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Louis R Pasquale
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard University, Boston, MA 02114, USA
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Janey L Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard University, Boston, MA 02114, USA
| | - Anastasia Wise
- Office of Population Genomics, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Margaret Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Luis A Pérez-Jurado
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08003, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras, Barcelona 08003, Spain; Hospital del Mar Research Institute, Barcelona 08003, Spain
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
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Pandey JP, Kistner-Griffin E, Radwan FF, Kaur N, Namboodiri AM, Black L, Butler MA, Carreón T, Ruder AM. Immunoglobulin genes influence the magnitude of humoral immunity to cytomegalovirus glycoprotein B. J Infect Dis 2014; 210:1823-6. [PMID: 24973460 DOI: 10.1093/infdis/jiu367] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Human cytomegalovirus (HCMV) is a risk factor for many human diseases, but among exposed individuals, not everyone is equally likely to develop HCMV-spurred diseases, implying the presence of host genetic factors that might modulate immunity to this virus. Here, we show that antibody responsiveness to HCMV glycoprotein B (gB) is significantly associated with particular immunoglobulin GM (γ marker) genotypes. Anti-HCMV gB antibody levels were highest in GM 17/17 homozygotes, intermediate in GM 3/17 heterozygotes, and lowest in GM 3/3 homozygotes (28.2, 19.0, and 8.1 µg/mL, respectively; P=.014). These findings provide mechanistic insights in the etiopathogenesis of HCMV-spurred diseases.
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Affiliation(s)
| | - Emily Kistner-Griffin
- Department of Public Health Sciences, Medical University of South Carolina, Charleston
| | | | | | | | | | - Mary Ann Butler
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio
| | - Tania Carreón
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio
| | - Avima M Ruder
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio
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Carreón T, Hein MJ, Hanley KW, Viet SM, Ruder AM. Coronary artery disease and cancer mortality in a cohort of workers exposed to vinyl chloride, carbon disulfide, rotating shift work, and o-toluidine at a chemical manufacturing plant. Am J Ind Med 2014; 57:398-411. [PMID: 24464642 PMCID: PMC4512282 DOI: 10.1002/ajim.22299] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/23/2013] [Indexed: 11/07/2022]
Abstract
BACKGROUND We updated through 2007 the mortality experience of 1,874 workers employed at a New York State chemical manufacturing plant between 1946 and 2006. METHODS Reassessed exposures to vinyl chloride, carbon disulfide, and shift work and categories of o-toluidine exposure were based on year, department and job title. Standardized mortality ratios (SMR) compared mortality to that of the US population. Internal comparisons used directly standardized rate ratios. RESULTS Hepatobiliary cancer mortality was elevated among workers ever exposed to vinyl chloride (SMR = 3.80, 95% confidence interval 1.89-6.80); directly standardized rates increased with increasing vinyl chloride exposure duration. No increase in non-Hodgkin lymphoma mortality was observed with vinyl chloride and shift work exposures. Internal comparisons showed increased coronary artery disease mortality among long-term workers exposed to carbon disulfide and shift work for 4 years or more. CONCLUSIONS Excess coronary artery disease mortality confirms earlier results; further investigation is needed to understand risk factors.
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Affiliation(s)
- Tania Carreón
- Division of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio
| | - Misty J. Hein
- Division of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio
| | - Kevin W. Hanley
- Division of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio
| | | | - Avima M. Ruder
- Division of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio
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Carreón T, Hein MJ, Hanley KW, Viet SM, Ruder AM. Bladder cancer incidence among workers exposed to o-toluidine, aniline and nitrobenzene at a rubber chemical manufacturing plant. Occup Environ Med 2014; 71:175-82. [PMID: 24368697 PMCID: PMC4548974 DOI: 10.1136/oemed-2013-101873] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND An earlier investigation found increased bladder cancer incidence among workers at a rubber chemical manufacturing plant that used o-toluidine, aniline and nitrobenzene. The cohort was expanded to include additional workers (n=1875) and updated through 2007 to assess bladder cancer with improved exposure characterisation. METHODS Work histories were updated and exposure categories and ranks were developed for o-toluidine, aniline and nitrobenzene combined. Incident cancers were identified by linkage to six state cancer registries. Residency in time-dependent cancer registry catchment areas was determined. SIR and standardised rate ratios for bladder cancer were calculated by exposure category and cumulative rank quartiles for different lag periods. Cox regression was used to model bladder cancer incidence with estimated cumulative rank, adjusting for confounders. Indirect methods were used to control for smoking. RESULTS Excess bladder cancer was observed compared to the New York State population (SIR=2.87, 95% CI 2.02 to 3.96), with higher elevations among workers definitely exposed (moderate/high) (SIR=3.90, 95% CI 2.57 to 5.68), and in the highest cumulative rank quartile (SIR=6.13, 95% CI 2.80 to 11.6, 10-year lag). Bladder cancer rates increased significantly with estimated cumulative rank (10-year lag). Smoking only accounted for an estimated 8% elevation in bladder cancer incidence. CONCLUSIONS Bladder cancer incidence remains elevated in this cohort and significantly associated with estimated cumulative exposure. Results are consistent with earlier findings in this and other cohorts. Despite other concurrent chemical exposures, we consider o-toluidine most likely responsible for the bladder cancer incidence elevation and recommend a re-examination of occupational exposure limits.
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Affiliation(s)
- Tania Carreón
- Division of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA
| | - Misty J Hein
- Division of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA
| | - Kevin W Hanley
- Division of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA
| | | | - Avima M Ruder
- Division of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA
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Flynn MA, Carreón T, Eggerth DE, Johnson AI. Immigration, Work, and Health: A Literature Review of Immigration Between Mexico and the United States. Revista Trab Soc (Santiago) 2014; 6:129-149. [PMID: 28260831 PMCID: PMC5334002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Understanding the influence someone's job or career has on their health goes beyond the physical, emotional and social hazards, risks and conditions that they face at work. One's job or career also exerts a significant influence over other aspects of life that contribute or detract from their health and that of their family. Work is the major incentive for Latin American migration to the United States. Latino immigrants experience increasingly poorer outcomes for physical health and chronic diseases the longer they remain in the U.S. The strong link between work and immigration suggests that, for many Latin Americans, immigration can be understood as a career path which puts them, and their family members, in situations that can change their physical, emotional, and social health as a condition of their employment. Given the large number of Latin Americans who emigrate for work, it is essential that the unique physical, mental and social impacts of emigration are accounted for when working with clients impacted by emigration at the individual, family and community level as well as those social workers practicing at the system level. This paper is a literature review that explores the impact that emigrating for work has on the health of those that emigrate and their family members that stay behind.
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Affiliation(s)
- Michael A Flynn
- Centers for Disease Control and Prevention National Institute for Occupational Safety and Health
| | - Tania Carreón
- Centers for Disease Control and Prevention National Institute for Occupational Safety and Health
| | - Donald E Eggerth
- Centers for Disease Control and Prevention National Institute for Occupational Safety and Health
| | - Antoinette I Johnson
- Centers for Disease Control and Prevention National Institute for Occupational Safety and Health
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Kitahara CM, Linet MS, Brenner AV, Wang SS, Melin BS, Wang Z, Inskip PD, Freeman LEB, Braganza MZ, Carreón T, Feychting M, Gaziano JM, Peters U, Purdue MP, Ruder AM, Sesso HD, Shu XO, Waters MA, White E, Zheng W, Hoover RN, Fraumeni JF, Chatterjee N, Yeager M, Chanock SJ, Hartge P, Rajaraman P. Personal history of diabetes, genetic susceptibility to diabetes, and risk of brain glioma: a pooled analysis of observational studies. Cancer Epidemiol Biomarkers Prev 2013; 23:47-54. [PMID: 24220915 DOI: 10.1158/1055-9965.epi-13-0913] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Brain glioma is a relatively rare and fatal malignancy in adulthood with few known risk factors. Some observational studies have reported inverse associations between diabetes and subsequent glioma risk, but possible mechanisms are unclear. METHODS We conducted a pooled analysis of original data from five nested case-control studies and two case-control studies from the United States and China that included 962 glioma cases and 2,195 controls. We examined self-reported diabetes history in relation to glioma risk, as well as effect modification by seven glioma risk-associated single-nucleotide polymorphisms (SNP). We also examined the associations between 13 diabetes risk-associated SNPs, identified from genome-wide association studies, and glioma risk. Odds ratios (OR) and 95% confidence intervals (CI) were calculated using multivariable-adjusted logistic regression models. RESULTS We observed a 42% reduced risk of glioma for individuals with a history of diabetes (OR = 0.58; 95% CI, 0.40-0.84). The association did not differ by sex, study design, or after restricting to glioblastoma, the most common histological subtype. We did not observe any significant per-allele trends among the 13 diabetes-related SNPs examined in relation to glioma risk. CONCLUSION These results support an inverse association between diabetes history and glioma risk. The role of genetic susceptibility to diabetes cannot be excluded, and should be pursued in future studies together with other factors that might be responsible for the diabetes-glioma association. IMPACT These data suggest the need for studies that can evaluate, separately, the association between type 1 and type 2 diabetes and subsequent risk of adult glioma.
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Affiliation(s)
- Cari M Kitahara
- Authors' Affiliations: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda; Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc., Gaithersburg, Maryland; Division of Cancer Etiology, Department of Population Sciences, City of Hope and the Beckman Research Institute, Duarte, California; Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Cincinnati, Ohio; Division of Preventive Medicine; Division of Aging, Brigham and Women's Hospital, Harvard Medical School; Massachusetts Veterans Epidemiology, Research and Information Center, Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Boston, Massachusetts; Fred Hutchinson Cancer Research Center; Department of Epidemiology, University of Washington, Seattle, Washington; Vanderbilt University Medical Center, Nashville, Tennessee; Department of Radiation Sciences, Oncology, Umeå University, Umeå; and Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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Melin B, Dahlin AM, Andersson U, Wang Z, Henriksson R, Hallmans G, Bondy ML, Johansen C, Feychting M, Ahlbom A, Kitahara CM, Wang SS, Ruder AM, Carreón T, Butler MA, Inskip PD, Purdue M, Hsing AW, Mechanic L, Gillanders E, Yeager M, Linet M, Chanock SJ, Hartge P, Rajaraman P. Known glioma risk loci are associated with glioma with a family history of brain tumours -- a case-control gene association study. Int J Cancer 2013; 132:2464-8. [PMID: 23115063 PMCID: PMC3586297 DOI: 10.1002/ijc.27922] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2012] [Accepted: 09/17/2012] [Indexed: 12/20/2022]
Abstract
Familial cancer can be used to leverage genetic association studies. Recent genome-wide association studies have reported independent associations between seven single nucleotide polymorphisms (SNPs) and risk of glioma. The aim of this study was to investigate whether glioma cases with a positive family history of brain tumours, defined as having at least one first- or second-degree relative with a history of brain tumour, are associated with known glioma risk loci. One thousand four hundred and thirty-one glioma cases and 2,868 cancer-free controls were identified from four case-control studies and two prospective cohorts from USA, Sweden and Denmark and genotyped for seven SNPs previously reported to be associated with glioma risk in case-control designed studies. Odds ratios were calculated by unconditional logistic regression. In analyses including glioma cases with a family history of brain tumours (n = 104) and control subjects free of glioma at baseline, three of seven SNPs were associated with glioma risk: rs2736100 (5p15.33, TERT), rs4977756 (9p21.3, CDKN2A-CDKN2B) and rs6010620 (20q13.33, RTEL1). After Bonferroni correction for multiple comparisons, only one marker was statistically significantly associated with glioma risk, rs6010620 (ORtrend for the minor (A) allele, 0.39; 95% CI: 0.25-0.61; Bonferroni adjusted ptrend , 1.7 × 10(-4) ). In conclusion, as previously shown for glioma regardless of family history of brain tumours, rs6010620 (RTEL1) was associated with an increased risk of glioma when restricting to cases with family history of brain tumours. These findings require confirmation in further studies with a larger number of glioma cases with a family history of brain tumours.
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Affiliation(s)
- Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
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Kitahara CM, Wang SS, Melin BS, Wang Z, Braganza M, Inskip PD, Albanes D, Andersson U, Beane Freeman LE, Buring JE, Carreón T, Feychting M, Gapstur SM, Gaziano JM, Giles GG, Hallmans G, Hankinson SE, Henriksson R, Hsing AW, Johansen C, Linet MS, McKean-Cowdin R, Michaud DS, Peters U, Purdue MP, Rothman N, Ruder AM, Sesso HD, Severi G, Shu XO, Stevens VL, Visvanathan K, Waters MA, White E, Wolk A, Zeleniuch-Jacquotte A, Zheng W, Hoover R, Fraumeni JF, Chatterjee N, Yeager M, Chanock SJ, Hartge P, Rajaraman P. Association between adult height, genetic susceptibility and risk of glioma. Int J Epidemiol 2013; 41:1075-85. [PMID: 22933650 DOI: 10.1093/ije/dys114] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Some, but not all, observational studies have suggested that taller stature is associated with a significant increased risk of glioma. In a pooled analysis of observational studies, we investigated the strength and consistency of this association, overall and for major sub-types, and investigated effect modification by genetic susceptibility to the disease. METHODS We standardized and combined individual-level data on 1354 cases and 4734 control subjects from 13 prospective and 2 case-control studies. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) for glioma and glioma sub-types were estimated using logistic regression models stratified by sex and adjusted for birth cohort and study. Pooled ORs were additionally estimated after stratifying the models according to seven recently identified glioma-related genetic variants. RESULTS Among men, we found a positive association between height and glioma risk (≥ 190 vs 170-174 cm, pooled OR = 1.70, 95% CI: 1.11-2.61; P-trend = 0.01), which was slightly stronger after restricting to cases with glioblastoma (pooled OR = 1.99, 95% CI: 1.17-3.38; P-trend = 0.02). Among women, these associations were less clear (≥ 175 vs 160-164 cm, pooled OR for glioma = 1.06, 95% CI: 0.70-1.62; P-trend = 0.22; pooled OR for glioblastoma = 1.36, 95% CI: 0.77-2.39; P-trend = 0.04). In general, we did not observe evidence of effect modification by glioma-related genotypes on the association between height and glioma risk. CONCLUSION An association of taller adult stature with glioma, particularly for men and stronger for glioblastoma, should be investigated further to clarify the role of environmental and genetic determinants of height in the etiology of this disease.
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Affiliation(s)
- Cari M Kitahara
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
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20
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Ruder AM, Yiin JH, Waters MA, Carreón T, Hein MJ, Butler MA, Calvert GM, Davis-King KE, Schulte PA, Mandel JS, Morton RF, Reding DJ, Rosenman KD, Stewart PA. The Upper Midwest Health Study: gliomas and occupational exposure to chlorinated solvents. Occup Environ Med 2012; 70:73-80. [PMID: 23104734 DOI: 10.1136/oemed-2011-100588] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVES Occupational exposure to chlorinated aliphatic solvents has been associated with an increased cancer risk, including brain cancer. However, many of these solvents remain in active, large-volume use. We evaluated glioma risk from non-farm occupational exposure (ever/never and estimated cumulative exposure) to any of the six chlorinated solvents--carbon tetrachloride, chloroform, methylene chloride, trichloroethylene, tetrachloroethylene or 1,1,1--trichloroethane-among 798 cases and 1175 population-based controls, aged 18-80 years and non-metropolitan residents of Iowa, Michigan, Minnesota and Wisconsin. Methods Solvent use was estimated based on occupation, industry and era, using a bibliographic database of published exposure levels and exposure determinants. Unconditional logistic regression was used to calculate ORs adjusted for frequency matching variables age group and sex, and age and education. Additional analyses were limited to 904 participants who donated blood specimens (excluding controls reporting a previous diagnosis of cancer) genotyped for glutathione-S-transferases GSTP1, GSTM3 and GSTT1. Individuals with functional GST genes might convert chlorinated solvents crossing the blood-brain barrier into cytotoxic metabolites. RESULTS Both estimated cumulative exposure (ppm-years) and ever exposure to chlorinated solvents were associated with decreased glioma risk and were statistically significant overall and for women. In analyses comparing participants with a high probability of exposure with the unexposed, no associations were statistically significant. Solvent-exposed participants with functional GST genes were not at increased risk of glioma. CONCLUSIONS We observed no associations of glioma risk and chlorinated solvent exposure. Large pooled studies are needed to explore the interaction of genetic pathways and environmental and occupational exposures in glioma aetiology.
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Affiliation(s)
- Avima M Ruder
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH, USA.
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21
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Ruder AM, Waters MA, Carreón T, Butler MA, Calvert GM, Davis-King KE, Waters KM, Schulte PA, Mandel JS, Morton RF, Reding DJ, Rosenman KD. The Upper Midwest Health Study: industry and occupation of glioma cases and controls. Am J Ind Med 2012; 55:747-55. [PMID: 22715102 DOI: 10.1002/ajim.22085] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/29/2012] [Indexed: 11/08/2022]
Abstract
BACKGROUND Understanding glioma etiology requires determining which environmental factors are associated with glioma. Upper Midwest Health Study case-control participant work histories collected 1995-1998 were evaluated for occupational associations with glioma. "Exposures of interest" from our study protocol comprise our a priori hypotheses. MATERIALS AND METHODS Year-long or longer jobs for 1,973 participants were assigned Standard Occupational Classifications (SOC) and Standard Industrial Classifications (SIC). The analysis file includes 8,078 SIC- and SOC-coded jobs. For each individual, SAS 9.2 programs collated employment with identical SIC-SOC coding. Distributions of longest "total employment duration" (total years worked in jobs with identical industry and occupation codes, including multiple jobs, and non-consecutive jobs) were compared between cases and controls, using an industrial hygiene algorithm to group occupations. RESULTS Longest employment duration was calculated for 780 cases and 1,156 controls. More case than control longest total employment duration was in the "engineer, architect" occupational group [16 cases, 10 controls, odds ratio (OR) 2.50, adjusted for age group, sex, age and education, 95% confidence interval (CI) 1.12-5.60]. Employment as a food processing worker [mostly butchers and meat cutters] was of borderline significance (27 cases, 21 controls, adjusted OR: 1.78, CI: 0.99-3.18). CONCLUSIONS Among our exposures of interest work as engineers or as butchers and meat cutters was associated with increased glioma risk. Significant associations could be due to chance, because of multiple comparisons, but similar findings have been reported for other glioma studies. Our results suggest some possible associations but by themselves could not provide conclusive evidence.
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Affiliation(s)
- Avima M Ruder
- Division of Surveillance, Hazard Evaluations, and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio 45226, USA.
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22
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Yiin JH, Ruder AM, Stewart PA, Waters MA, Carreón T, Butler MA, Calvert GM, Davis-King KE, Schulte PA, Mandel JS, Morton RF, Reding DJ, Rosenman KD. The Upper Midwest Health Study: a case-control study of pesticide applicators and risk of glioma. Environ Health 2012; 11:39. [PMID: 22691464 PMCID: PMC3406961 DOI: 10.1186/1476-069x-11-39] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2011] [Accepted: 06/12/2012] [Indexed: 06/01/2023]
Abstract
BACKGROUND An excess incidence of brain cancer in farmers has been noted in several studies. The National Institute for Occupational Safety and Health developed the Upper Midwest Health Study (UMHS) as a case-control study of intracranial gliomas and pesticide uses among rural residents. Previous studies of UMHS participants, using "ever-never" exposure to farm pesticides and analyzing men and women separately, found no positive association of farm pesticide exposure and glioma risks. The primary objective was to determine if quantitatively estimated exposure of pesticide applicators was associated with an increased risk of glioma in male and female participants. METHODS The study included 798 histologically confirmed primary intracranial glioma cases (45 % with proxy respondents) and 1,175 population-based controls, all adult (age 18-80) non-metropolitan residents of Iowa, Michigan, Minnesota, and Wisconsin. The analyses used quantitatively estimated exposure from questionnaire responses evaluated by an experienced industrial hygienist with 25 years of work on farm pesticide analyses. Odds ratios (ORs) and 95 % confidence intervals (CIs) using unconditional logistic regression modeling were calculated adjusting for frequency-matching variables (10-year age group and sex), and for age and education (a surrogate for socioeconomic status). Analyses were separately conducted with or without proxy respondents. RESULTS No significant positive associations with glioma were observed with cumulative years or estimated lifetime cumulative exposure of farm pesticide use. There was, a significant inverse association for phenoxy pesticide used on the farm (OR 0.96 per 10 g-years of cumulative exposure, CI 0.93-0.99). No significant findings were observed when proxy respondents were excluded. Non-farm occupational applicators of any pesticide had decreased glioma risk: OR 0.72, CI 0.52-0.99. Similarly, house and garden pesticide applicators had a decreased risk of glioma: OR 0.79, CI 0.66-0.93, with statistically significant inverse associations for use of 2,4-D, arsenates, organophosphates, and phenoxys. CONCLUSIONS These results are consistent with our previous findings for UMHS of reported farm pesticide exposure and support a lack of positive association between pesticides and glioma.
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Affiliation(s)
- James H Yiin
- National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | - Avima M Ruder
- National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | | | - Martha A Waters
- National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | - Tania Carreón
- National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | - Mary Ann Butler
- National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | - Geoffrey M Calvert
- National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | - Karen E Davis-King
- National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | - Paul A Schulte
- National Institute for Occupational Safety and Health, Cincinnati, OH, USA
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Hanley KW, Viet SM, Hein MJ, Carreón T, Ruder AM. Exposure to o-toluidine, aniline, and nitrobenzene in a rubber chemical manufacturing plant: a retrospective exposure assessment update. J Occup Environ Hyg 2012; 9:478-490. [PMID: 22708702 DOI: 10.1080/15459624.2012.693836] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
The National Institute for Occupational Safety and Health previously conducted a retrospective cancer incidence and mortality study of workers employed at a rubber chemical manufacturing plant. Compared with New York State incidence, the bladder cancer risk was 6.5 times higher for workers considered to have definite exposure to ortho-toluidine and aniline, and 4 times higher for workers with possible exposure. Exposure characterization in the original study utilized a surrogate measure based only on departments in which each worker was ever employed. As part of an update of that study, some departments in the three original exposure groups were reclassified based on a follow-up site visit; interviews with employees, management, and union representatives; and review of records including exposure data. An additional evaluation of department-job combinations, rather than only departments, was used to stratify exposure into four categories. An approximate rank of "relative" exposure level for each department-job-year combination was also assigned using a ranking scale of 0 to 10. The ranks were supported by quantitative exposure levels and by professional judgment. The numerical ranking scale was applied to each worker by multiplying the exposure rank by duration for each job held based on comprehensive individual work histories. The cumulative rank scores for this cohort ranged from 0 to 300 unit-years. The medians of the cumulative rank scores for the exposure categories showed very good agreement with increasing exposure classifications (e.g., 0.72, 4.6, 11, 14 unit-years for the four exposure categories). Workers' breathing zone air sampling data collected at this plant from 1976-2004 were well below published occupational exposure limits for these chemicals, but additional cases of bladder cancer have been reported. The exposure assessment revisions and rank estimates will be used to analyze the updated bladder cancer incidence data.
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Affiliation(s)
- Kevin W Hanley
- National Institute for Occupational Safety and Health, Industrywide Studies Branch, Division of Surveillance, Hazard Evaluations and Field Studies, Cincinnati, Ohio, USA.
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24
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Wang SS, Hartge P, Yeager M, Carreón T, Ruder AM, Linet M, Inskip PD, Black A, Hsing AW, Alavanja M, Beane-Freeman L, Safaiean M, Chanock SJ, Rajaraman P. Joint associations between genetic variants and reproductive factors in glioma risk among women. Am J Epidemiol 2011; 174:901-8. [PMID: 21920947 DOI: 10.1093/aje/kwr184] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
In a pooled analysis of 4 US epidemiologic studies (1993-2001), the authors evaluated the role of 5 female reproductive factors in 357 women with glioma and 822 controls. The authors further evaluated the independent association between 5 implicated gene variants and glioma risk among the study population, as well as the joint associations of female reproductive factors (ages at menarche and menopause, menopausal status, use of oral contraceptives, and menopausal hormone therapy) and these gene variants on glioma risk. Risk estimates were calculated as odds ratios and 95% confidence intervals that were adjusted for age, race, and study. Three of the gene variants (rs4295627, a variant of CCDC26; rs4977756, a variant of CDKN2A and CDKN2B; and rs6010620, a variant of RTEL1) were statistically significantly associated with glioma risk in the present population. Compared with women who had an early age at menarche (<12 years of age), those who reported menarche at 12-13 years of age or at 14 years of age or older had a 1.7-fold higher risk and a 1.9-fold higher risk of glioma, respectively (P for trend = 0.009). Postmenopausal women and women who reported ever having used oral contraceptives had a decreased risk of glioma. The authors did not observe joint associations between these reproductive characteristics and the implicated glioma gene variants. These results require replication, but if confirmed, they would suggest that the gene variants that have previously been implicated in the development of glioma are unlikely to act through the same hormonal mechanisms in women.
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Affiliation(s)
- Sophia S Wang
- Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute and the City of Hope, Duarte, CA 91010, USA.
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25
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Ward EM, Schulte PA, Straif K, Hopf NB, Caldwell JC, Carreón T, DeMarini DM, Fowler BA, Goldstein BD, Hemminki K, Hines CJ, Pursiainen KH, Kuempel E, Lewtas J, Lunn RM, Lynge E, McElvenny DM, Muhle H, Nakajima T, Robertson LW, Rothman N, Ruder AM, Schubauer-Berigan MK, Siemiatycki J, Silverman D, Smith MT, Sorahan T, Steenland K, Stevens RG, Vineis P, Zahm SH, Zeise L, Cogliano VJ. Research recommendations for selected IARC-classified agents. Environ Health Perspect 2010; 118:1355-62. [PMID: 20562050 PMCID: PMC2957912 DOI: 10.1289/ehp.0901828] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2009] [Accepted: 06/18/2010] [Indexed: 05/10/2023]
Abstract
OBJECTIVES There are some common occupational agents and exposure circumstances for which evidence of carcinogenicity is substantial but not yet conclusive for humans. Our objectives were to identify research gaps and needs for 20 agents prioritized for review based on evidence of widespread human exposures and potential carcinogenicity in animals or humans. DATA SOURCES For each chemical agent (or category of agents), a systematic review was conducted of new data published since the most recent pertinent International Agency for Research on Cancer (IARC) Monograph meeting on that agent. DATA EXTRACTION Reviewers were charged with identifying data gaps and general and specific approaches to address them, focusing on research that would be important in resolving classification uncertainties. An expert meeting brought reviewers together to discuss each agent and the identified data gaps and approaches. DATA SYNTHESIS Several overarching issues were identified that pertained to multiple agents; these included the importance of recognizing that carcinogenic agents can act through multiple toxicity pathways and mechanisms, including epigenetic mechanisms, oxidative stress, and immuno- and hormonal modulation. CONCLUSIONS Studies in occupational populations provide important opportunities to understand the mechanisms through which exogenous agents cause cancer and intervene to prevent human exposure and/or prevent or detect cancer among those already exposed. Scientific developments are likely to increase the challenges and complexities of carcinogen testing and evaluation in the future, and epidemiologic studies will be particularly critical to inform carcinogen classification and risk assessment processes.
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Affiliation(s)
- Elizabeth M Ward
- Epidemiology and Surveillance Research, American Cancer Society, Atlanta Georgia 30303, USA.
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Abstract
For the National Institute for Occupational Safety and Health (NIOSH) case-control study of glioma among non-metropolitan residents, pesticide information was considered critical. Responses to open-ended questions about pesticide exposures had to be grouped for analysis. Our aim was to classify pesticide responses in biologically relevant categories. We built the NIOSH Retrospective Pesticide Reference Database (NIOSH-RPRD) on over 1000 pesticide products and chemicals, particularly those likely to be used in the upper Midwest, using multiple sources. We obtained first and last years of product registration and product pesticide ingredients and their relative weights from the U.S. Environmental Protection Agency's Pesticide Product Information System. We added fields for pesticide class (organophosphate, etc.), carcinogenicity ratings, and evidence regarding endocrine-disrupting activity. Participant data were merged with the database, allowing each product recalled by a respondent to be linked to one or more chemicals, as appropriate. Respondents named 1347 different pesticides (or pesticide-targeted species) used on the farm, at non-farm jobs, or at home. Database usefulness was assessed by comparing numbers of responses naming actual chemicals to total responses linked to those chemicals. Sixty percent of farm pesticide, 59% of non-farm occupational, and 65% of house and garden responses named products, not chemicals. Among farm pesticide users, 182 (46%) reported using a total of 440 pesticides 1 to 40 years (mean 8.5 years) before those pesticides actually were marketed. The NIOSH-RPRD, now available to other investigators, has been a useful tool for us and other researchers to evaluate, group, and correct pesticide responses.
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Affiliation(s)
- A M Ruder
- Division of Surveillance, Hazard Evaluations, and Field Studies, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio 45226, USA.
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27
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Ruder AM, Carreón T, Butler MA, Calvert GM, Davis-King KE, Waters MA, Schulte PA, Mandel JS, Morton RF, Reding DJ, Rosenman KD. Exposure to farm crops, livestock, and farm tasks and risk of glioma: the Upper Midwest Health Study. Am J Epidemiol 2009; 169:1479-91. [PMID: 19403843 DOI: 10.1093/aje/kwp075] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Some studies of brain cancer have found an excess risk for farmers. The National Institute for Occupational Safety and Health previously found no increased glioma risk for ever (vs. never) being exposed to pesticides on a farm among 798 cases and 1,175 population-based controls (adult (ages 18-80 years) nonmetropolitan residents of Iowa, Michigan, Minnesota, and Wisconsin). For this analysis (1995-1998), 288 cases and 474 controls (or their proxies) who had lived on farms at age 18 years or after were asked about exposure to crops, livestock, and farm tasks. Logistic regression was used to calculate odds ratios adjusted for age, age group, sex, state, and education. Never immediately washing up (adjusted odds ratio (OR) = 3.08, 95% confidence interval (CI): 1.78, 5.34) or changing clothes (OR = 2.84, 95% CI: 1.04, 7.78) after applying pesticides was associated with increased glioma risk. Living on a farm on which corn, oats, soybeans, or hogs were raised was associated with decreased risk (corn-OR = 0.37, 95% CI: 0.20, 0.69; oats-OR = 0.63, 95% CI: 0.40, 1.00; soybeans-OR = 0.69, 95% CI: 0.48, 0.98; hogs-OR = 0.63, 95% CI: 0.43, 0.93). Negative associations may be due to chance or a "healthy farmer" effect. Farmers' increased risk of glioma may be due to work practices, other activities, or an inverse association with allergies (reported by other investigators).
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Affiliation(s)
- Avima M Ruder
- Division of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio 45226, USA.
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Carreón T, Kadlubar FF, Ruder AM, Schulte PA, Hayes RB, Waters M, Grant DJ, Boissy R, Bell DA, Hemstreet GP, Yin S, Lemasters GK, Rothman N. Reply to the letter to the Editor: “N-Acetyltransferases and the susceptibility to benzidine-induced bladder carcinogenesis”. Int J Cancer 2007; 121:1637-9; author reply 1640-1. [PMID: 17583575 DOI: 10.1002/ijc.22906] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Carreón T, LeMasters GK, Ruder AM, Schulte PA. The genetic and environmental factors involved in benzidine metabolism and bladder carcinogenesis in exposed workers. FRONT BIOSCI-LANDMRK 2006; 11:2889-902. [PMID: 16720360 DOI: 10.2741/2017] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Genetic susceptibility to bladder cancer in individuals exposed to arylamines may be explained by interindividual metabolic differences that lead to arylamine bioactivation or detoxification. In this article, occupational bladder cancer risk factors and the evidence that links benzidine exposure to bladder cancer are reviewed. Benzidine metabolism is described and compared with that of other aromatic amines. Metabolic polymorphisms and bladder cancer in the context of occupational exposure to aromatic amines are also reviewed, and the environmental and genetic relationships of benzidine exposure and genetic susceptibility are outlined. Only a few studies of bladder cancer genetic susceptibility in populations exposed occupationally to arylamines have been published. The results of these case-control studies show conflicting results, reflecting metabolic differences between monoarylamines and diarylamines such as benzidine. Additional studies and pooled analyses of existing data are needed to establish if individuals are at higher risk of bladder cancer given the presence of certain alleles that make them more susceptible to this disease.
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Affiliation(s)
- Tania Carreón
- National Institute for Occupational Safety and Health, Cincinnati, Ohio 45226, USA.
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30
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Ruder AM, Waters MA, Carreón T, Butler MA, Davis-King KE, Calvert GM, Schulte PA, Ward EM, Connally LB, Lu J, Wall D, Zivkovich Z, Heineman EF, Mandel JS, Morton RF, Reding DJ, Rosenman KD. The Upper Midwest Health Study: A Case-Control Study of Primary Intracranial Gliomas in Farm and Rural Residents. J Agric Saf Health 2006; 12:255-74. [PMID: 17131948 DOI: 10.13031/2013.22013] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Since several studies indicated that farmers and agricultural workers had an excess risk of brain cancer, the National Institute for Occupational Safety and Health initiated the Upper Midwest Health Study to examine risk of intracranial glioma in the non-metropolitan population. This population-based, case-control study evaluated associations between gliomas and rural and farm exposures among adults (ages 18 to 80) in four upper midwestern states (Iowa, Michigan, Minnesota, Wisconsin). At diagnosis/selection, participants lived in non-metropolitan counties where the largest population center had fewer than 250,000 residents. Cases were diagnosed 1 January 1995 through 31 January 1997. Over 90% of 873 eligible ascertained cases and over 70% of 1670 eligible controls consented to participate. Participants and nonparticipants, evaluated for "critical questions" on main and refusant questionnaires, differed significantly in farming and occupational experience, ethnicity, education, and lifestyle. The 1,175 controls were more likely than the 798 cases to have reported ever drinking alcohol (77% vs. 73%, adjusted odds ratio (OR) 0. 73, 95% confidence interval (CI) 0.59-0.92) and having had panoramic dental x-rays (34% vs. 29%, OR 0. 75, CI 0.61-0.92). Controls spent a greater percentage of their lives in non-metropolitan counties (78% vs. 75%, OR 0.81, CI 0.67-1.09). Among ever-farmers, controls were more likely to have had exposure to farm insecticides (57% vs. 50%, OR 0.75, CI 0.59-0.95) and farm animals (96% vs. 91%, OR 0.48, CI 0.25-0.90). Moving to a farm as an adolescent (ages 11 to 20) vs. as an adult was associated with a greater risk of glioma. In our study sample, farm or rural residence and summary farm exposures were associated with decreased glioma risk. However, nonparticipation by never-farming eligible controls could have affected results. Comparisons of farm chemical exposures may clarify associations between farming and glioma that others have reported.
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Affiliation(s)
- A M Ruder
- National Institute for Occupational Safety and Health, Mailstop R-16, 4676 Columbia Parkway, Cincinnati, OH 45226, USA.
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Carreón T, Ruder AM, Schulte PA, Hayes RB, Rothman N, Waters M, Grant DJ, Boissy R, Bell DA, Kadlubar FF, Hemstreet GP, Yin S, LeMasters GK. NAT2 slow acetylation and bladder cancer in workers exposed to benzidine. Int J Cancer 2005; 118:161-8. [PMID: 16003747 DOI: 10.1002/ijc.21308] [Citation(s) in RCA: 51] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
This study expands a previous study of NAT2 polymorphisms and bladder cancer in male subjects occupationally exposed only to benzidine. The combined analysis of 68 cases and 107 controls from a cohort of production workers in China exposed to benzidine included 30 new cases and 67 controls not previously studied. NAT2 enzymatic activity phenotype was characterized by measuring urinary caffeine metabolite ratios. PCR-based methods identified genotypes for NAT2, NAT1 and GSTM1. NAT2 phenotype and genotype data were consistent. A protective association was observed for the slow NAT2 genotype (bladder cancer OR = 0.3; 95% CI = 0.1 = 1.0) after adjustment for cumulative benzidine exposure and lifetime smoking. Individuals carrying NAT1wt/*10 and NAT1*10/*10 showed higher relative risks of bladder cancer (OR = 2.8, 95% CI = 0.8-10.1 and OR = 2.2, 95% CI = 0.6-8.3, respectively). No association was found between GSTM1 null and bladder cancer. A metaanalysis risk estimate of case-control studies of NAT2 acetylation and bladder cancer in Asian populations without occupational arylamine exposures showed an increased risk for slow acetylators. The lower limit of the confidence interval (OR = 1.4; 95% CI = 1.0-2.0) approximated the upper confidence interval for the estimate obtained in our analysis. These results support the earlier finding of a protective association between slow acetylation and bladder cancer in benzidine-exposed workers, in contrast to its established link as a risk factor for bladder cancer in people exposed to 2-naphthylamine and 4-aminobiphenyl. Study findings suggest the existence of key differences in the metabolism of mono- and diarylamines.
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Affiliation(s)
- Tania Carreón
- Division of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, OH 45226, USA.
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Carreón T, Butler MA, Ruder AM, Waters MA, Davis-King KE, Calvert GM, Schulte PA, Connally B, Ward EM, Sanderson WT, Heineman EF, Mandel JS, Morton RF, Reding DJ, Rosenman KD, Talaska G. Gliomas and farm pesticide exposure in women: the Upper Midwest Health Study. Environ Health Perspect 2005; 113:546-51. [PMID: 15866761 PMCID: PMC1257545 DOI: 10.1289/ehp.7456] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
An excess incidence of brain cancer in male farmers has been noted in several studies, but few studies have focused on women. The National Institute for Occupational Safety and Health Upper Midwest Health Study evaluated effects of rural exposures for 341 female glioma cases and 528 controls, all adult (18-80 years of age) nonmetropolitan residents of Iowa, Michigan, Minnesota, and Wisconsin. On average, controls lived longer on farms than did cases. After adjusting for age, age group, education, and farm residence, no association with glioma was observed for exposure to arsenicals, benzoic acids, carbamates, chloroacetanilides, dinitroanilines, inorganics, organochlorines, organophosphates, phenoxys, triazines, or urea-based or estrogenic pesticides. An increased risk of glioma was observed for carbamate herbicides but was not statistically significant (odds ratio = 3.0; 95% confidence interval, 0.9-9.5). No association was observed between glioma and exposure to 12 widely used specific pesticides, after adjustment for age, age group, education, and any other pesticide exposure. These results were not affected after exclusion of proxy respondents (43% of cases, 2% of controls). Women were less likely than men to have applied pesticides, but more likely to have laundered pesticide-contaminated clothes. Storing pesticides in the house was associated with a statistically non-significant increased risk. Results show that exposure to pesticides was not associated with an increased risk of intracranial gliomas in women. Other farm-related factors could be etiologic factors and will be discussed in future reports.
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Affiliation(s)
- Tania Carreón
- Divion of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, 4676 Columbia Parkway, Cincinnati, OH 45226, USA.
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Ruder AM, Waters MA, Butler MA, Carreón T, Calvert GM, Davis-King KE, Schulte PA, Sanderson WT, Ward EM, Connally LB, Heineman EF, Mandel JS, Morton RF, Reding DJ, Rosenman KD, Talaska G. Gliomas and Farm Pesticide Exposure in Men: The Upper Midwest Health Study. ACTA ACUST UNITED AC 2004; 59:650-7. [PMID: 16789473 DOI: 10.1080/00039890409602949] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
The National Institute for Occupational Safety and Health evaluated farm pesticide exposure and glioma risk in a study that included 457 glioma cases and 648 population-based controls, all adult men (18-80 yr old) and nonmetropolitan residents of Iowa, Michigan, Minnesota, and Wisconsin. Multiple logistic regressions were used to control for farm residence, age, age group, education, and exposure to other pesticides. No associations were found between glioma and 12 specific pesticides. We estimated adjusted odds ratios (ORs) and 95% confidence intervals (CIs) and found reduced glioma risk for insecticides (OR = 0.53, CI = 0.37-0.77), fumigants (OR = 0.57, CI = 0.34-0.95), and organochlorines (OR = 0.66, CI = 0.47-0.94). In analyses excluding proxy respondents (47% of cases) most CIs included 1.0. No positive association of farm pesticide exposure and glioma was found. Other farm exposures may explain the excess brain cancer risk seen in previous studies.
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Affiliation(s)
- Avima M Ruder
- Division of Surveillance, Hazard Evaluations and Field Studies, The National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio 45226, USA.
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Huang K, Whelan EA, Ruder AM, Ward EM, Deddens JA, Davis-King KE, Carreón T, Waters MA, Butler MA, Calvert GM, Schulte PA, Zivkovich Z, Heineman EF, Mandel JS, Morton RF, Reding DJ, Rosenman KD. Reproductive factors and risk of glioma in women. Cancer Epidemiol Biomarkers Prev 2004; 13:1583-8. [PMID: 15466973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/30/2023] Open
Abstract
OBJECTIVE Glioma is the most common primary malignant brain tumor in adults, responsible for 75% of adult primary malignant brain tumors, yet aside from its association with ionizing radiation, its etiology is poorly understood. Sex differences in brain tumor incidence suggest that hormonal factors may play a role in the etiology of these tumors, but few studies have examined this association in detail. The objective of this study was to explore the role of reproductive factors in the etiology of glioma in women. METHOD As part of a population-based case-control study, histologically confirmed primary glioma cases (n = 341 women) diagnosed between January 1, 1995 and January 31, 1997 were identified through clinics and hospitals in four Midwest U.S. states. Controls (n = 527 women) were randomly selected from lists of licensed drivers and Health Care Finance Administration enrollees. In-person interviews with subjects (81%) or their proxies (19%) collected reproductive history and other exposure information. RESULTS Glioma risk increased with older age at menarche (P for trend = 0.009) but only among postmenopausal women. Compared with women who never breast-fed, women who breast-fed >18 months over their lifetime were at increased risk of glioma (odds ratio, 1.8; 95% confidence interval, 1.1-2.9). Women who reported using hormones for symptoms of menopause had a decreased risk of glioma compared with women who never used such hormones (odds ratio, 0.7; 95% confidence interval, 0.5-1.1). CONCLUSION These results support the hypothesis that reproductive hormones play a role in the etiology of glioma among women.
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Affiliation(s)
- Kui Huang
- National Institute for Occupational Safety and Health, 4676 Columbia Parkway, Cincinnati, OH 45226, USA
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Vineis P, Schulte PA, Carreón T, Bailer AJ, Medvedovic M. Issues of design and analysis in studies of gene-environment interactions. IARC Sci Publ 2004:417-35. [PMID: 15055309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Affiliation(s)
- Paolo Vineis
- Department of Biomedical Science and Human Oncology, University of Turin, Torino, Italy.
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Carreón T, Santos-Burgoa C, Baron S, Hernández S. Occupational health in Mexico. Occup Med 2002; 17:437-53, iv. [PMID: 12028953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
The authors discuss the maquiladoras and child labor, and offer an overview of the history of occupational safety and health in Mexico that covers laws and regulations, social security, unions, and enforcement of legislation. The organization and structure of the various institutions responsible for occupational safety and health (OSH), as well as administrative procedures, are described. This article concludes with a list of the new challenges for OSH in Mexico.
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Affiliation(s)
- Tania Carreón
- Division of Surveillance, Hazard Evaluations and Field Studies, NIOSH, 4676 Columbia Parkway, Mailstop R-16, Cincinnati, OH 45226, USA
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