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De Roos AJ, Senter JP, Schinasi LH, Huang W, Moore K, Maltenfort M, Forrest C, Henrickson SE, Kenyon CC. Outdoor aeroallergen impacts on asthma exacerbation among sensitized and nonsensitized Philadelphia children. J Allergy Clin Immunol Glob 2024; 3:100248. [PMID: 38645670 PMCID: PMC11024998 DOI: 10.1016/j.jacig.2024.100248] [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] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 12/30/2023] [Accepted: 01/27/2024] [Indexed: 04/23/2024]
Abstract
Background Outdoor aeroallergens, such as pollens and molds, are known triggers of asthma exacerbation; however, few studies have examined children's aeroallergen response based on sensitization. Objective Our aim was to compare the relative impact of aeroallergen levels on asthma exacerbation between pediatric patients with asthma who tested positive or negative for sensitization to particular allergens. Methods A case-crossover design study was conducted to examine associations between outdoor aeroallergen levels and asthma exacerbation events among children living in Philadelphia, Pennsylvania, who were treated within a large pediatric care network. Sensitization to common allergens was characterized in a subset of patients with asthma exacerbation who had undergone skin prick testing (5.5%). Odds ratios (ORs) and 95% CIs were estimated in all patients with asthma exacerbation and in those sensitized or not sensitized to aeroallergens. Results Children who were sensitized to a particular allergen had higher odds of asthma exacerbation with exposure to the allergen (ie, early-season tree pollen, oak tree pollen, early-season weed pollen, and late-season molds) than did all patients with asthma or nonsensitized patients. For example, the association between early-season tree pollen and asthma exacerbation among sensitized children (>90th percentile vs ≤25th, OR = 2.28 [95% CI = 1.23-4.22]) was considerably stronger than that estimated among all patients (OR = 1.34 [95% CI = 1.19-1.50]), and it was also substantially different from the lack of association seen among nonsensitized children (OR = 0.89 [95% CI = 0.51-1.55] [P value for heterogeneity = .03]). Conclusion More prevalent allergy testing may be useful for prevention of asthma exacerbation by informing interventions targeted to sensitized children and tailored for particular aeroallergens.
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Affiliation(s)
- Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pa
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pa
| | - James P. Senter
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Leah H. Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pa
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pa
| | - Wanyu Huang
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pa
| | - Kari Moore
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pa
| | - Mitchell Maltenfort
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Christopher Forrest
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Sarah E. Henrickson
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pa
- Division of Allergy and Immunology, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Chén C. Kenyon
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pa
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa
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Kahn D, Chen W, Linden Y, Corbeil KA, Lowry S, Higham CA, Mendez KS, Burch P, DiFondi T, Verhougstraete M, De Roos AJ, Haas CN, Gerba C, Hamilton KA. A microbial risk assessor's guide to Valley Fever (Coccidioides spp.): Case study and review of risk factors. Sci Total Environ 2024; 917:170141. [PMID: 38242485 PMCID: PMC10923130 DOI: 10.1016/j.scitotenv.2024.170141] [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] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 12/07/2023] [Accepted: 01/11/2024] [Indexed: 01/21/2024]
Abstract
Valley Fever is a respiratory disease caused by inhalation of arthroconidia, a type of spore produced by fungi within the genus Coccidioides spp. which are found in dry, hot ecosystems of the Western Hemisphere. A quantitative microbial risk assessment (QMRA) for the disease has not yet been performed due to a lack of dose-response models and a scarcity of quantitative occurrence data from environmental samples. A literature review was performed to gather data on experimental animal dosing studies, environmental occurrence, human disease outbreaks, and meteorological associations. As a result, a risk framework is presented with information for parameterizing QMRA models for Coccidioides spp., with eight new dose-response models proposed. A probabilistic QMRA was conducted for a Southwestern US agricultural case study, evaluating eight scenarios related to farming occupational exposures. Median daily workday risks for developing severe Valley Fever ranged from 2.53 × 10-7 (planting by hand while wearing an N95 facemask) to 1.33 × 10-3 (machine harvesting while not wearing a facemask). The literature review and QMRA synthesis confirmed that exposure to aerosolized arthroconidia has the potential to result in high attack rates but highlighted that the mechanistic relationships between environmental conditions and disease remain poorly understood. Recommendations for Valley Fever risk assessment research needs in order to reduce disease risks are discussed, including interventions for farmers.
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Affiliation(s)
- David Kahn
- Department of Civil Architectural and Environmental Engineering, Drexel University, Philadelphia, PA 19104, USA
| | - William Chen
- Department of Civil & Environmental Engineering & Earth Sciences, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Yarrow Linden
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Karalee A Corbeil
- Department of Water Management and Hydrological Science, Texas A&M University, College Station, TX 79016, USA
| | - Sarah Lowry
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA
| | - Ciara A Higham
- Leeds Institute for Fluid Dynamics, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, UK
| | - Karla S Mendez
- The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX 77030, USA
| | - Paige Burch
- Seaford High School, 1575 Seamans Neck Rd, Seaford, NY 11783, USA
| | - Taylor DiFondi
- Seaford High School, 1575 Seamans Neck Rd, Seaford, NY 11783, USA
| | - Marc Verhougstraete
- University of Arizona, Mel and Enid Zuckerman College of Public Health, 1295 N. Marton Ave., Tucson, AZ 85724, USA
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA
| | - Charles N Haas
- Department of Civil Architectural and Environmental Engineering, Drexel University, Philadelphia, PA 19104, USA
| | - Charles Gerba
- University of Arizona, Mel and Enid Zuckerman College of Public Health, 1295 N. Marton Ave., Tucson, AZ 85724, USA
| | - Kerry A Hamilton
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, 1001 S. McAllister Ave, Tempe, AZ 85281, USA; School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85281, USA.
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Huang W, Schinasi LH, Kenyon CC, Auchincloss AH, Moore K, Melly S, Robinson LF, Forrest CB, De Roos AJ. Do respiratory virus infections modify associations of asthma exacerbation with aeroallergens or fine particulate matter? A time series study in Philadelphia PA. Int J Environ Health Res 2024:1-12. [PMID: 38164931 DOI: 10.1080/09603123.2023.2299249] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 12/21/2023] [Indexed: 01/03/2024]
Abstract
Respiratory virus infections are related to over 80% of childhood asthma exacerbations. They enhance pro-inflammatory mediator release, especially for sensitized individuals exposed to pollens/molds. Using a time-series study design, we investigated possible effect modification by respiratory virus infections of the associations between aeroallergens/PM2.5 and asthma exacerbation rates. Outpatient, emergency department (ED), and inpatient visits for asthma exacerbation among children with asthma (28,540/24,444 [warm/cold season]), as well as viral infection counts were obtained from electronic health records of the Children's Hospital of Philadelphia from 2011 to 2016. Rate ratios (RRs, 90th percentile vs. 0) for late-season grass pollen were 1.00 (0.85-1.17), 1.04 (0.95-1.15), and 1.12 (0.96-1.32), respectively, for respiratory syncytial virus (RSV) counts within each tertile. However, similar trends were not observed for weed pollens/molds or PM2.5. Overall, our study provides little evidence supporting effect modification by respiratory viral infections.
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Affiliation(s)
- Wanyu Huang
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Leah H Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Chén C Kenyon
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Amy H Auchincloss
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Kari Moore
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Steven Melly
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Lucy F Robinson
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Christopher B Forrest
- The Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
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Schinasi LH, De Roos AJ. Invited Perspective: Important New Evidence for Glyphosate Hazard Assessment. Environ Health Perspect 2023; 131:121305. [PMID: 38055049 PMCID: PMC10699408 DOI: 10.1289/ehp14256] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 11/15/2023] [Indexed: 12/07/2023]
Affiliation(s)
- Leah H. Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
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Huang W, Schinasi LH, Kenyon CC, Auchincloss AH, Moore K, Melly S, Robinson LF, Forrest CB, De Roos AJ. Evaluation of evidence for interaction between PM2.5 and aeroallergens on childhood asthma exacerbation in Philadelphia, PA, 2011 to 2016. Environ Res 2023; 234:116395. [PMID: 37390950 DOI: 10.1016/j.envres.2023.116395] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 06/08/2023] [Accepted: 06/09/2023] [Indexed: 07/02/2023]
Abstract
Fine particulate matter (PM2.5) and aeroallergens (i.e., pollen, molds) are known triggers of asthma exacerbation. Despite mechanistic evidence suggesting synergistic effects between PM2.5 and asthma exacerbation, little epidemiologic work has been performed in children, which has exhibited inconsistency. We conducted a time-series study to explore their interactions using electronic health records (EHR) data in Philadelphia, PA, for asthma diagnoses in outpatient, emergency department [ED], and inpatient settings. Daily asthma exacerbation cases (28,540 asthma exacerbation case encounters) were linked to daily ambient PM2.5 and daily aeroallergen levels during the aeroallergen season of a six-year period (mid-March to October 2011-2016). Asthma exacerbation counts were modeled using quasi-Poisson regression, where PM2.5 and aeroallergens were fitted with distributed lag non-linear functions (lagged from 0 to 14-days), respectively, when modeled as the primary exposure variables. Regression models were adjusted for mean daily temperature/relative humidity, long-term and seasonal trends, day-of-week, and major U.S. holidays. Increasing gradient of RR estimates were observed for only a few primary exposure risk factors [PM2.5 (90th vs. 5th percentile)/aeroallergens (90th percentile vs. 0)], across different levels of effect modifiers. For example, RRs for the association between late-season grass pollen (lag1) and asthma exacerbation were higher at higher levels of PM2.5, 5-days preceding the exacerbation event (low PM2.5: RR = 1.01, 95% CI: 0.93-1.09; medium PM2.5: 1.04, 95% CI: 0.96-1.12; high PM2.5: 1.09, 95% CI: 1.01-1.19). However, most of the highest RRs for aeroallergens were instead observed for days with low- or medium- PM2.5 levels; likewise, when PM2.5 was modeled as the primary exposure with aeroallergens as the effect modifier. Most of the RR estimates did not exhibit gradients that suggested synergism, and were of relatively high imprecision. Overall, our study suggested no evidence for interactions between PM2.5 and aeroallergens in their relationships with childhood asthma exacerbation.
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Affiliation(s)
- Wanyu Huang
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
| | - Leah H Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, PA, USA; Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Chén C Kenyon
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Amy H Auchincloss
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA; Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Kari Moore
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Steven Melly
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Lucy F Robinson
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Christopher B Forrest
- The Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, PA, USA; Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
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Schinasi LH, Kondo MC, Edwards J, Clougherty JE, De Roos AJ, Bilal U. Does Urban Greenspace Reduce Mortality Inequalities Based on Poverty, Race, or Both in Philadelphia, PA? J Urban Health 2023; 100:686-695. [PMID: 37563520 PMCID: PMC10447860 DOI: 10.1007/s11524-023-00748-5] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/06/2023] [Indexed: 08/12/2023]
Abstract
While past research suggests that urban greenspace is associated with weaker income-based mortality inequities, little is known about associations with racial inequities, which may be distinct owing to historical and contemporary forms of racism. We quantified the extent to which different measures of greenspace modified socioeconomic and racial/ethnic inequities in all-cause and cardiovascular disease mortality. For every residential census tract in Philadelphia, PA (N = 376), we linked counts of all-cause and cardiovascular mortality (years 2008-2015) with measures of greenspace (proportion tree canopy or grass/shrub cover, proportion residents reporting park access, and the normalized difference vegetation index measure of overall greenness) and American Community Survey-based measures of sociodemographic composition (proportion of residents living in poverty, proportion identifying as non-Hispanic Black, and the index of concentration at the extremes (ICE) representing racialized economic deprivation). We used age- and sex-adjusted negative binomial models, with the natural logarithm of age-specific population counts as an offset, to quantify the magnitude of inequities by each composition variable, overall and stratified by categories of each greenspace measure. Inequities in mortality were weaker among neighborhoods with higher proportion grass/shrub cover or overall greenness. The most substantially narrowed inequities were those by the ICE. Mortality inequities did not differ substantially by perceived park access, and tree canopy was associated with weaker ICE-based inequities only. In this ecologic analysis, neighborhood greenspace was associated with weaker mortality inequities. However, associations varied across greenspace type and sociodemographic composition metrics, with generally stronger associations with overall greenness and grass/shrub coverage, and for ICE-basedinequities.
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Affiliation(s)
- Leah H Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
- Urban Health Collaborative, Dornsife School of Public Health, Drexel Univeristy, Philadelphia, PA, USA.
| | - Michelle C Kondo
- USDA Forest Service, Northern Research Station, Philadelphia Field Station, 100 North 20th Street, Suite 205, Philadelphia, PA, 19103, USA
| | - Janelle Edwards
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
- Urban Health Collaborative, Dornsife School of Public Health, Drexel Univeristy, Philadelphia, PA, USA
| | - Jane E Clougherty
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
- Urban Health Collaborative, Dornsife School of Public Health, Drexel Univeristy, Philadelphia, PA, USA
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
- Urban Health Collaborative, Dornsife School of Public Health, Drexel Univeristy, Philadelphia, PA, USA
| | - Usama Bilal
- Urban Health Collaborative, Dornsife School of Public Health, Drexel Univeristy, Philadelphia, PA, USA
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel Univeristy, Philadelphia, PA, USA
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Rhee J, Birmann BM, De Roos AJ, Epstein MM, Martinez-Maza O, Breen EC, Magpantay LI, Levin LI, Visvanathan K, Hosgood HD, Rohan TE, Smoller SW, Bassig BA, Qi L, Shu XO, Koh WP, Zheng W, Yuan JM, Weinstein SJ, Albanes D, Lan Q, Rothman N, Purdue MP. Circulating immune markers and risks of non-Hodgkin lymphoma subtypes: A pooled analysis. Int J Cancer 2023; 152:865-878. [PMID: 36151863 PMCID: PMC9812887 DOI: 10.1002/ijc.34299] [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: 02/05/2022] [Revised: 08/25/2022] [Accepted: 08/26/2022] [Indexed: 01/07/2023]
Abstract
Although prediagnostic circulating concentrations of the immune activation markers soluble CD27 (sCD27), sCD30 and chemokine ligand-13 (CXCL13) have been associated with non-Hodgkin lymphoma (NHL) risk, studies have been limited by sample size in associations with NHL subtypes. We pooled data from eight nested case-control studies to investigate subtype-specific relationships for these analytes. Using polytomous regression, we calculated odds ratios (ORs) with 95% confidence intervals (CIs) relating study-specific analyte tertiles to selected subtypes vs controls (n = 3310): chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL; n = 623), diffuse large B cell lymphoma (DLBCL; n = 621), follicular lymphoma (FL; n = 398), marginal zone lymphoma (MZL; n = 138), mantle cell lymphoma (MCL; n = 82) and T cell lymphoma (TCL; n = 92). We observed associations with DLBCL for elevated sCD27 [OR for third vs first tertile (ORT3 ) = 2.2, 95% CI = 1.6-3.1], sCD30 (ORT3 = 2.0, 95% CI = 1.6-2.5) and CXCL13 (ORT3 = 2.3, 95% CI = 1.8-3.0). We also observed associations with sCD27 for CLL/SLL (ORT3 = 3.3, 95% CI = 2.4-4.6), MZL (ORT3 = 7.7, 95% CI = 3.0-20.1) and TCL (ORT3 = 3.4, 95% CI = 1.5-7.7), and between sCD30 and FL (ORT3 = 2.7, 95% CI = 2.0-3.5). In analyses stratified by time from phlebotomy to case diagnosis, the sCD27-TCL and all three DLBCL associations were equivalent across both follow-up periods (<7.5, ≥7.5 years). For other analyte-subtype comparisons, associations were stronger for the follow-up period closer to phlebotomy, particularly for indolent subtypes. In conclusion, we found robust evidence of an association between these immune markers and DLBCL, consistent with hypotheses that mechanisms related to immune activation are important in its pathogenesis. Our other findings, particularly for the rarer subtypes MZL and TCL, require further investigation.
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Affiliation(s)
- Jongeun Rhee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Brenda M. Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Mara M. Epstein
- Department of Medicine and the Meyers Health Care Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Otoniel Martinez-Maza
- Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- UCLA AIDS Institute, Los Angeles, CA, USA
- Department of Obstetrics & Gynecology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Elizabeth C. Breen
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Larry I. Magpantay
- UCLA AIDS Institute, Los Angeles, CA, USA
- Department of Obstetrics & Gynecology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lynn I. Levin
- Statistics and Epidemiology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Kala Visvanathan
- Johns Hopkins Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - H. Dean Hosgood
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Thomas E. Rohan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sylvia W. Smoller
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Bryan A. Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Formerly at the U.S. National Cancer Institute. This author is currently employed by the U.S. Centers for Disease Control and Prevention, National Center for Health Statistics. All work on this study by the author was conducted while employed by the National Cancer Institute
| | - Lihong Qi
- Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore 117609, Singapore
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Stephanie J. Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mark P. Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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De Roos AJ, Fritschi L, Ward MH, Monnereau A, Hofmann J, Bernstein L, Bhatti P, Benavente Moreno Y, Benke G, Casabonne D, Clavel J, Cocco P, Huynh T, 't Mannetje A, Miligi L, Piro S, Rothman N, Schinasi LH, Vajdic CM, Wang SS, Zhang Y, Slager SL, Cerhan JR. Herbicide use in farming and other jobs in relation to non-Hodgkin's lymphoma (NHL) risk. Occup Environ Med 2022; 79:795-806. [PMID: 36207110 PMCID: PMC9669193 DOI: 10.1136/oemed-2022-108371] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 03/27/2022] [Accepted: 09/12/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVES Given mixed evidence for carcinogenicity of current-use herbicides, we studied the relationship between occupational herbicide use and risk of non-Hodgkin's lymphoma (NHL) in a large, pooled study. METHODS We pooled data from 10 case-control studies participating in the International Lymphoma Epidemiology Consortium, including 9229 cases and 9626 controls from North America, the European Union and Australia. Herbicide use was coded from self-report or by expert assessment in the individual studies, for herbicide groups (eg, phenoxy herbicides) and active ingredients (eg, 2,4-dichlorophenoxyacetic acid (2,4-D), glyphosate). The association between each herbicide and NHL risk was estimated using logistic regression to produce ORs and 95% CIs, with adjustment for sociodemographic factors, farming and other pesticides. RESULTS We found no substantial association of all NHL risk with ever-use of any herbicide (OR=1.10, 95% CI: 0.94 to 1.29), nor with herbicide groups or active ingredients. Elevations in risk were observed for NHL subtypes with longer duration of phenoxy herbicide use, such as for any phenoxy herbicide with multiple myeloma (>25.5 years, OR=1.78, 95% CI: 0.74 to 4.27), 2,4-D with diffuse large B-cell lymphoma (>25.5 years, OR=1.47, 95% CI: 0.67 to 3.21) and other (non-2,4-D) phenoxy herbicides with T-cell lymphoma (>6 years, lagged 10 years, OR=3.24, 95% CI: 1.03 to 10.2). An association between glyphosate and follicular lymphoma (lagged 10 years: OR=1.48, 95% CI: 0.98 to 2.25) was fairly consistent across analyses. CONCLUSIONS Most of the herbicides examined were not associated with NHL risk. However, associations of phenoxy herbicides and glyphosate with particular NHL subtypes underscore the importance of estimating subtype-specific risks.
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Affiliation(s)
- Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Lin Fritschi
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Mary H Ward
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Alain Monnereau
- Registre des Hémopathies Malignes de la Gironde, Institut Bergonié, University of Bordeaux, Bordeaux, France
- Epidemiology of Childhood and Adolescent Cancers Group, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), INSERM, Paris, France
| | - Jonathan Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Leslie Bernstein
- Division of Biomarkers of Early Detection and Prevention, Beckman Research Institute of City of Hope, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Parveen Bhatti
- Cancer Control Research, BC Cancer, Vancouver, British Columbia, Canada
| | - Yolanda Benavente Moreno
- Cancer Epidemiology Research Program, Institut Català d'Oncologia (ICO)/Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Geza Benke
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Delphine Casabonne
- Cancer Epidemiology Research Program, Institut Català d'Oncologia (ICO)/Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Jacqueline Clavel
- Epidemiology of Childhood and Adolescent Cancers Group, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), INSERM, Paris, France
| | - Pierluigi Cocco
- Centre for Occupational and Environmental Health, Division of Population Health, University of Manchester, Manchester, UK
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Tran Huynh
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Andrea 't Mannetje
- Centre for Public Health Research, Massey University, Wellington, New Zealand
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Branch, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Sara Piro
- Environmental and Occupational Epidemiology Branch, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Leah H Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Claire M Vajdic
- The Kirby Institute, University of New South Wales, Kensington, New South Wales, Australia
| | - Sophia S Wang
- Division of Health Analytics, Department of Computational and Quantitative Medicine, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Yawei Zhang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Susan L Slager
- Department of Quantitative Health Sciences, Division of Computational Biology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Medicine, Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
| | - James R Cerhan
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
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9
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Kondo MC, Zuidema C, Moran HA, Jovan S, Derrien M, Brinkley W, De Roos AJ, Tabb LP. Spatial predictors of heavy metal concentrations in epiphytic moss samples in Seattle, WA. Sci Total Environ 2022; 825:153801. [PMID: 35151745 DOI: 10.1016/j.scitotenv.2022.153801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 02/07/2022] [Accepted: 02/07/2022] [Indexed: 06/14/2023]
Abstract
The use of bio-indicators is an emerging, cost-effective alternative approach to identifying air pollution and assessing the need for additional air monitoring. This community science project explores the use of moss samples as bio-indicators of the distribution of metal air particulates in two residential neighborhoods of the industrial Duwamish Valley located in Seattle, WA (USA). We applied geographically weighted regression to data from 61 youth-collected samples to assess the location-specific area-level spatial predictors of the concentrations of 25 elements with focus on five heavy metals of concern due to health and environmental considerations. Spatial predictors included traffic volume, industrial land uses, major roadways, the airport, dirt roads, the Duwamish River, impervious surfaces, tree canopy cover, and sociodemographics. Traffic volume surrounding sample locations was the most consistent positive predictor of increasing heavy metal concentration. Greater distance from the heavy-industry corridor surrounding the Duwamish River predicted lower concentrations of all metals, with statistically significant associations for chromium and lead in some areas. As the distance from dirt roads increased, the concentration of arsenic and chromium decreased significantly. Percent tree canopy within 200 m of sample locations was a significant protective factor for cadmium concentrations. In addition, percent people of color was significantly positively associated with increasing lead, chromium and nickel concentrations. Our findings underscore the potential influence of heavy industry and mobile sources on heavy metal concentrations, the buffering potential of trees in local environments, and persistent opportunity to improve environmental justice.
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Affiliation(s)
- Michelle C Kondo
- Northern Research Station, USDA Forest Service, 100 N. 20th St, Ste 205, Philadelphia, PA 19103, United States of America.
| | - Christopher Zuidema
- Department of Environmental and Occupational Health Sciences, University of Washington, 4225 Roosevelt Way NE, Seattle, WA 98105, United States of America
| | - Hector A Moran
- 2130 Aqueduct Avenue, Bronx, NY 10453, United States of America
| | - Sarah Jovan
- Pacific Northwest Research Station, USDA Forest Service, 620 SW Main St. suite 502, Portland, OR 97205, United States of America
| | - Monika Derrien
- Pacific Northwest Research Station, USDA Forest Service, 400 N 34th St., Suite 201, Seattle, WA 98103, United States of America
| | - Weston Brinkley
- Street Sounds Ecology, LLC, 312 NW 81st St, Seattle, WA 98117, United States of America
| | - Anneclaire J De Roos
- Drexel University Dornsife School of Public Health, Department of Environmental and Occupational Health, 3215 Market Street, Philadelphia, PA 19104, United States of America
| | - Loni Philip Tabb
- Drexel University Dornsife School of Public Health, Department of Epidemiology and Biostatistics, 3215 Market Street, Philadelphia, PA 19104, United States of America
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10
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Rhee J, Birmann BM, De Roos AJ, Epstein MM, Martinez-Maza O, Breen EC, Levin LI, Visvanathan K, Hosgood HD, Rohan T, Qi L, Lan Q, Rothman N, Purdue MP. Abstract 685: Circulating immune markers and risks of non-Hodgkin lymphoma subtypes: A pooled analysis. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Peripheral blood levels of soluble CD27 (sCD27), sCD30 and chemokine ligand-13 (CXCL13) are proposed markers of immune activation, the effects of which may influence the development of non-Hodgkin lymphoma (NHL). Pre-diagnostic circulating levels of sCD27, sCD30 and CXCL13 have been associated with NHL, although individual studies have typically been underpowered to assess associations for individual NHL subtypes. We pooled data from eight case-control studies nested within general-population cohorts to investigate subtype-specific relationships with these immune markers.
Methods: After pooling, immune marker data for 2,455 cases diagnosed >2 years after blood collection and 3,310 controls were available for analysis. Using polytomous regression models, we calculated odds ratios (ORs) with 95% confidence intervals (CIs) relating study-specific tertiles of each immune marker to the following subtypes: chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL; n=623), diffuse large B-cell lymphoma (DLBCL; n=621), follicular lymphoma (FL; n=398), marginal zone lymphoma (MZL; n=138), mantle cell lymphoma (MCL; n=82) and T-cell lymphoma (TCL; n=92).
Results: We observed associations with DLBCL for elevated levels of sCD27 [OR for 3rd vs. 1st tertile (ORT3) = 2.2, 95% CI = 1.6-3.1; Ptrend = 9.3x10-6), sCD30 (ORT3 = 2.0, 95% CI 1.6-2.5; Ptrend = 6.5 x10-10) and CXCL-13 (ORT3 = 2.3, 95% CI 1.8-3.0; Ptrend = 3.9 x10-12). These associations remained in a model simultaneously adjusting for all three markers. We also observed associations with sCD27 for CLL/SLL (ORT3 = 3.3, 95% CI = 2.4-4.6; Ptrend = 1.6x10-13), MZL (ORT3 =7.7, 95% CI 3.0-20.1; Ptrend = 2.3x10-6) and TCL (ORT3 = 3.4, 95% CI 1.5-7.7; Ptrend = 0.003), and between sCD30 and FL (ORT3 = 2.7, 95% CI 2.0-3.5; Ptrend = 1.7x10-12), all of which remained after adjustment for the other immune markers. In analyses stratified by follow-up time from blood collection to case diagnosis, the sCD27-TCL association and all three DLBCL associations were equivalent across both follow-up periods (>2-<7.5, ≥7.5 years). The sCD27-CLL/SLL, sCD27-MZL and sCD30-FL associations were weaker for cases diagnosed ≥7.5 years post-phlebotomy compared to the earlier follow-up period but remained statistically significant. Conclusions: In this pooled analysis, to our knowledge the first of its kind, we found robust evidence of an association between the three immune markers and DLBCL, consistent with hypotheses that mechanisms related to immune activation are important in the etiology of this malignancy. Other findings are notable, particularly the strong associations with sCD27 for the rare subtypes MZL and TCL, but require further investigation before causal inferences can be drawn.
Citation Format: Jongeun Rhee, Brenda M. Birmann, Anneclaire J. De Roos, Mara M. Epstein, Otoniel Martinez-Maza, Elizabeth C. Breen, Lynn I. Levin, Kala Visvanathan, H Dean Hosgood, Thomas Rohan, Lihong Qi, Qing Lan, Nathaniel Rothman, Mark P. Purdue. Circulating immune markers and risks of non-Hodgkin lymphoma subtypes: A pooled analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 685.
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Affiliation(s)
| | - Brenda M. Birmann
- 2Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | | - Mara M. Epstein
- 4University of Massachusetts Chan Medical School, Worcester, MA
| | | | - Elizabeth C. Breen
- 6David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Lynn I. Levin
- 7Walter Reed Army Institute of Research, Silver Spring, MD
| | | | | | | | - Lihong Qi
- 10University of California Davis, Davis, CA
| | - Qing Lan
- 1National Cancer Institute, Rockville, MD
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11
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De Roos AJ, Kenyon CC, Yen YT, Moore K, Melly S, Hubbard RA, Maltenfort M, Forrest CB, Diez Roux AV, Schinasi LH. Does Living near Trees and Other Vegetation Affect the Contemporaneous Odds of Asthma Exacerbation among Pediatric Asthma Patients? J Urban Health 2022; 99:533-548. [PMID: 35467328 PMCID: PMC9187838 DOI: 10.1007/s11524-022-00633-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/18/2022] [Indexed: 02/02/2023]
Abstract
Vegetation may influence asthma exacerbation through effects on aeroallergens, localized climates, air pollution, or children's behaviors and stress levels. We investigated the association between residential vegetation and asthma exacerbation by conducting a matched case-control study based on electronic health records of asthma patients, from the Children's Hospital of Philadelphia (CHOP). Our study included 17,639 exacerbation case events and 34,681 controls selected from non-exacerbation clinical visits for asthma, matched to cases by age, sex, race/ethnicity, public payment source, and residential proximity to the CHOP main campus ED and hospital. Overall greenness, tree canopy, grass/shrub cover, and impervious surface were assessed near children's homes (250 m) using satellite imagery and high-resolution landcover data. We used generalized estimating equations to estimate odds ratios (OR) and 95% confidence intervals (CI) for associations between each vegetation/landcover measure and asthma exacerbation, with adjustment for seasonal and sociodemographic factors-for all cases, and for cases defined by diagnosis setting and exacerbation frequency. Lower odds of asthma exacerbation were observed in association with greater levels of tree canopy near the home, but only for children who experienced multiple exacerbations in a year (OR = 0.94 per 10.2% greater tree canopy coverage, 95% CI = 0.90-0.99). Our findings suggest possible protection for asthma patients from tree canopy, but differing results by case frequency suggest that potential benefits may be specific to certain subpopulations of asthmatic children.
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Affiliation(s)
- Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA. .,Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
| | - Chén C Kenyon
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Yun-Ting Yen
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Kari Moore
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Steven Melly
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Rebecca A Hubbard
- Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Mitchell Maltenfort
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Christopher B Forrest
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ana V Diez Roux
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.,Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Leah H Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.,Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
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12
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Wang SS, Vajdic CM, Linet MS, Slager SL, Voutsinas J, Nieters A, Casabonne D, Cerhan JR, Cozen W, Alarcón G, Martínez-Maza O, Brown EE, Bracci PM, Turner J, Hjalgrim H, Bhatti P, Zhang Y, Birmann BM, Flowers CR, Paltiel O, Holly EA, Kane E, Weisenburger DD, Maynadié M, Cocco P, Foretova L, Breen EC, Lan Q, Brooks-Wilson A, De Roos AJ, Smith MT, Roman E, Boffetta P, Kricker A, Zheng T, Skibola CF, Clavel J, Monnereau A, Chanock SJ, Rothman N, Benavente Y, Hartge P, Smedby KE. B-Cell NHL Subtype Risk Associated with Autoimmune Conditions and PRS. Cancer Epidemiol Biomarkers Prev 2022; 31:1103-1110. [PMID: 35244686 PMCID: PMC9081255 DOI: 10.1158/1055-9965.epi-21-0875] [Citation(s) in RCA: 3] [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] [Received: 08/02/2021] [Revised: 12/02/2021] [Accepted: 02/16/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND A previous International Lymphoma Epidemiology (InterLymph) Consortium evaluation of joint associations between five immune gene variants and autoimmune conditions reported interactions between B-cell response-mediated autoimmune conditions and the rs1800629 genotype on risk of B-cell non-Hodgkin lymphoma (NHL) subtypes. Here, we extend that evaluation using NHL subtype-specific polygenic risk scores (PRS) constructed from loci identified in genome-wide association studies of three common B-cell NHL subtypes. METHODS In a pooled analysis of NHL cases and controls of Caucasian descent from 14 participating InterLymph studies, we evaluated joint associations between B-cell-mediated autoimmune conditions and tertile (T) of PRS for risk of diffuse large B-cell lymphoma (DLBCL; n = 1,914), follicular lymphoma (n = 1,733), and marginal zone lymphoma (MZL; n = 407), using unconditional logistic regression. RESULTS We demonstrated a positive association of DLBCL PRS with DLBCL risk [T2 vs. T1: OR = 1.24; 95% confidence interval (CI), 1.08-1.43; T3 vs. T1: OR = 1.81; 95% CI, 1.59-2.07; P-trend (Ptrend) < 0.0001]. DLBCL risk also increased with increasing PRS tertile among those with an autoimmune condition, being highest for those with a B-cell-mediated autoimmune condition and a T3 PRS [OR = 6.46 vs. no autoimmune condition and a T1 PRS, Ptrend < 0.0001, P-interaction (Pinteraction) = 0.49]. Follicular lymphoma and MZL risk demonstrated no evidence of joint associations or significant Pinteraction. CONCLUSIONS Our results suggest that PRS constructed from currently known subtype-specific loci may not necessarily capture biological pathways shared with autoimmune conditions. IMPACT Targeted genetic (PRS) screening among population subsets with autoimmune conditions may offer opportunities for identifying those at highest risk for (and early detection from) DLBCL.
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Affiliation(s)
- Sophia S. Wang
- Division of Health Analytics, Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Monrovia, California
| | - Claire M. Vajdic
- Centre for Big Data Research in Health, The University of New South Wales, Sydney, New South Wales, Australia
| | - Martha S. Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Susan L. Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Jenna Voutsinas
- Division of Health Analytics, Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Monrovia, California
| | - Alexandra Nieters
- The Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Germany
| | - Delphine Casabonne
- Unit of Infections and Cancer, Epidemiology, Public Health, Cancer Prevention and Palliative Care Program – Epibell, IDIBELL, Institut Català d’ Oncologia/IDIBELL, Barcelona, Spain
- The Biomedical Research Centre Network for Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - James R. Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Wendy Cozen
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, California
| | - Graciela Alarcón
- Division of Clinical Immunology and Rheumatology, Department of Medicine, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Otoniel Martínez-Maza
- Department of Microbiology, Immunology and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California
| | - Elizabeth E. Brown
- Department of Pathology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama
- O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Paige M. Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Jennifer Turner
- Department of Histopathology, Douglass Hanly Moir Pathology, Sydney, New South Wales, Australia
- Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Henrik Hjalgrim
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Parveen Bhatti
- British Columbia Cancer Research Center, Vancouver, British Columbia, Canada
| | - Yawei Zhang
- Department of Cancer Prevention and Control at the National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Brenda M. Birmann
- Channing Division of Network Medicine, Department of Medicine Research, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | | | - Ora Paltiel
- Department of Hematology, The Hebrew University-Hadassah Braun School of Public Health and Community Medicine, Hadassah University Medical Center, Jerusalem, Israel
| | - Elizabeth A. Holly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Eleanor Kane
- Department of Health Sciences, University of York, York, United Kingdom
| | | | - Marc Maynadié
- Registry of Hematological Malignancies of Cote d'Or, INSERM U1231, Burgundy University and University Hospital, Dijon, France (Maynadie)
| | - Pierluigi Cocco
- Occupational Health Section, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Elizabeth Crabb Breen
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Angela Brooks-Wilson
- Department of Biomedical Physiology and Kinesiology, Faculty of Science, Simon Fraser University, Vancouver, British Columbia, Canada
| | - Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania
| | - Martyn T. Smith
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California
| | - Eve Roman
- Department of Health Sciences, University of York, York, United Kingdom
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Anne Kricker
- Sydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Tongzhang Zheng
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island
| | | | - Jacqueline Clavel
- Centre of Research in Epidemiology and Statistics (CRESS), UMR1153, INSERM, Université de Paris, Paris, France
| | - Alain Monnereau
- Centre of Research in Epidemiology and Statistics (CRESS), UMR1153, INSERM, Université de Paris, Paris, France
- Registre des Hémopathies Malignes de la Gironde, Institut Bergonié, University of Bordeaux, Inserm, Team EPICENE, UMR 1219, Paris, France
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Yolanda Benavente
- Unit of Infections and Cancer, Epidemiology, Public Health, Cancer Prevention and Palliative Care Program – Epibell, IDIBELL, Institut Català d’ Oncologia/IDIBELL, Barcelona, Spain
- The Biomedical Research Centre Network for Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Karin E. Smedby
- Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
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13
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De Roos AJ, Schinasi LH, Miligi L, Cerhan JR, Bhatti P, ‘t Mannetje A, Baris D, Benavente Y, Benke G, Clavel J, Casabonne D, Fritschi L, Hofmann JN, Huynh T, Monnereau A, Piro S, Slager SL, Vajdic CM, Wang SS, Zhang Y, Bernstein L, Cocco P. Occupational insecticide exposure and risk of non-Hodgkin lymphoma: A pooled case-control study from the InterLymph Consortium. Int J Cancer 2021; 149:1768-1786. [PMID: 34270795 PMCID: PMC10560384 DOI: 10.1002/ijc.33740] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [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] [Received: 02/12/2021] [Revised: 06/07/2021] [Accepted: 06/18/2021] [Indexed: 11/07/2022]
Abstract
Evidence for the human health effects of pesticides is needed to inform risk assessment. We studied the relationship between occupational insecticide use and risk of non-Hodgkin lymphoma (NHL) by pooling data from nine case-control studies participating in the InterLymph Consortium, including 7909 cases and 8644 controls from North America, the European Union and Australia. Insecticide use was coded using self-report or expert assessment, for insecticide groups (eg, organophosphates, pyrethroids) and active ingredients (eg, malathion, permethrin). Associations with insecticides were estimated using logistic regression to produce odds ratios (ORs) and 95% confidence intervals (CI) for all NHL and NHL subtypes, with adjustment for study site, demographic factors and use of other pesticides. Occupational insecticide use, overall, was not associated with risk of NHL. Use of organophosphate insecticides was associated with increased risk of all NHL and the subtype follicular lymphoma, and an association was found with diazinon, in particular (ever use: OR = 2.05, 95%CI: 1.24-3.37). The carbamate insecticide, carbaryl, was associated with risk of all NHL, and the strongest associations were found with T-cell NHL for ever-use (OR = 2.44, 95%CI: 1.13-5.28) and longer duration (>8 years vs never: OR = 2.90, 95%CI: 1.02-8.25). There was no association of NHL with other broad groups of insecticides, including organochlorines and pyrethroids, and some inverse associations were estimated in relation to historical DDT use. Our findings contribute to the totality of evidence available to help inform risk decisions by public health and regulatory agencies of importance given continued, widespread use of organophosphate and carbamate insecticides.
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Affiliation(s)
- Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Leah H. Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Branch, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - James R. Cerhan
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Parveen Bhatti
- Cancer Control Research, BC Cancer, Vancouver, British Columbia, Canada
- Occupational and Environmental Health, School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Andrea ‘t Mannetje
- Center for Public Health Research, Massey University-Wellington Campus, Wellington, New Zealand
| | - Dalsu Baris
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota, USA
| | - Yolanda Benavente
- Cancer Epidemiology Research Program, Institut Català d’Oncologia (ICO)/Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Geza Benke
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jacqueline Clavel
- Epidemiology of Childhood and Adolescent Cancers Group, Inserm, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris, France
- Université Paris Descartes, Paris, France
| | - Delphine Casabonne
- Cancer Epidemiology Research Program, Institut Català d’Oncologia (ICO)/Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Jonathan N. Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Betthesda, Maryland, USA
| | - Tran Huynh
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Alain Monnereau
- Epidemiology of Childhood and Adolescent Cancers Group, Inserm, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris, France
- Registre des Hémopathies Malignes de la Gironde, Institut Bergonié, University of Bordeaux, Inserm, Bordeaux, France
| | - Sara Piro
- Environmental and Occupational Epidemiology Branch, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Susan L. Slager
- Division of Computational Biology and Hematology, Department of Quantitative Health Sciences and Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Claire M. Vajdic
- Centre for Big Data Research in Health, University of New South Wales, New South Wales, Australia
| | - Sophia S. Wang
- Division of Health Analytics, Department of Computational and Quantitative Medicine, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Yawei Zhang
- National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Leslie Bernstein
- Division of Biomarkers of Early Detection and Prevention, Beckman Research Institute of City of Hope, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Pierluigi Cocco
- Division of Population Health, Centre for Occupational and Environmental Health, University of Manchester, Manchester, UK
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
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Pronk A, Nuckols JR, De Roos AJ, Airola M, Colt JS, Cerhan JR, Morton L, Cozen W, Severson R, Blair A, Cleverly D, Ward MH. Correction to: Residential proximity to industrial combustion facilities and risk of non-Hodgkin lymphoma: a case-control study. Environ Health 2021; 20:113. [PMID: 34719389 PMCID: PMC8559390 DOI: 10.1186/s12940-021-00798-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Affiliation(s)
- Anjoeka Pronk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, Rockville, MD, USA
- TNO, Zeist, The Netherlands
| | - John R Nuckols
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Anneclaire J De Roos
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- University of Washington Department of Epidemiology, Seattle, WA, USA
| | | | - Joanne S Colt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, Rockville, MD, USA
| | | | - Lindsay Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, Rockville, MD, USA
| | - Wendy Cozen
- Departments of Preventive Medicine, Pathology, and Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Richard Severson
- Department of Family Medicine and Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA
| | - Aaron Blair
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, Rockville, MD, USA
| | - David Cleverly
- National Center for Environmental Assessment, Office of Research and Development, United States Environmental Protection Agency (retired), Washington, DC, USA
| | - Mary H Ward
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, Rockville, MD, USA.
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 6120 Executive Blvd, EPS 8006, Bethesda, MD, 20892, USA.
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Lewis A, McKeon TP, De Roos AJ, Ravel J, Elovitz MA, Burris HH. Associations of public water system trihalomethane exposure during pregnancy with spontaneous preterm birth and the cervicovaginal microbial-immune state. Environ Res 2021; 199:111288. [PMID: 33965388 PMCID: PMC8195861 DOI: 10.1016/j.envres.2021.111288] [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] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 04/30/2021] [Accepted: 05/03/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Water total trihalomethanes (TTHMs) are disinfectant byproducts found in municipal water supplies. TTHM exposure has been linked to cancer and may be associated with adverse reproductive outcomes. A non-optimal cervicovaginal microbiota and low cervicovaginal beta-defensin-2 levels are associated with increased risk of spontaneous preterm birth. Whether TTHM exposure increases the risk of spontaneous preterm birth or alters the cervicovaginal microbial or immune state is unknown. OBJECTIVE Investigate associations of water TTHM levels with spontaneous preterm birth, a non-optimal cervicovaginal microbiota, and beta-defensin-2 levels in a completed, diverse, urban pregnancy cohort. We hypothesized that higher TTHM levels would be associated with spontaneous preterm birth, a non-optimal cervicovaginal microbiota, and lower beta-defensin-2 levels. DESIGN Methods: This was a secondary analysis of participants (n = 474) in the Motherhood & Microbiome (M&M) study (n = 2000), who lived in Philadelphia and had cervicovaginal samples analyzed for cervicovaginal microbiota composition and beta-defensin-2 levels. The microbiota was classified into community state types (CSTs). CST IV (non-optimal microbiota) is characterized by a paucity of Lactobacillus species and wide array of anaerobes. Municipal water TTHM levels were obtained from 16 sites monthly across the city of Philadelphia to establish mean residential water supply levels for each participant for the first four months of pregnancy (prior to vaginal swab collection at 16-20 weeks' gestation). Associations of water TTHM levels with spontaneous preterm birth and a non-optimal cervicovaginal microbiota birth were analyzed using multivariable logistic regression. Multivariable linear regression was used to model associations of water TTHM levels with log-transformed cervicovaginal beta-defensin-2 levels. Since water TTHM levels vary by season and beta-defensin-2 levels have been shown to differ by race, stratified models by warm (April-September) and cold (October-March) seasons as well as by self-identified race were utilized. RESULTS Participants' water supply TTHM levels (mean μg/L [SD]) were higher in the warm (53.5 [9.4]) than cold (33.4 [7.5]) season (p < 0.0001). TTHM levels were non-significantly higher among Black participants than non-Black participants (44.8 [13.5] vs. 41.8 [11.8], p = 0.07). No associations were detected between TTHM with spontaneous preterm birth (per SD increment of TTHM, aOR 0.94, 95%CI: 0.66, 1.34) or with CST IV (aOR 0.94, 95%CI: 0.86, 1.16). Counter to our hypothesis, we observed positive associations of water TTHM with log-transformed cervicovaginal beta-defensin-2 levels in unadjusted models (β 0.20 [95%CI: 0.02, 0.39]) per SD increment of TTHM), but the association was null after adjustment for season. However, in models adjusted for covariates including season and stratified by race, TTHM was significantly associated with lower beta-defensin-2 levels among non-Black participants (β -0.75 [95%CI: -1.43, -0.08]) but not among Black participants (β 0.17 [95%CI: -0.15, 0.49]), interaction p = 0.013). CONCLUSION We did not detect associations of water TTHM levels with spontaneous preterm birth or the structure of the cervicovaginal microbiota. However, the finding of a significant interaction between TTHM and race on beta-defensin-2 levels suggest that environmental exposures may contribute to differences in reproductive tract innate immune function by race. Future studies to delineate environmental contributions to the cervicovaginal microbial-immune state, a potentially important biologic underpinning for preterm birth, are warranted.
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Affiliation(s)
- Andrea Lewis
- Center of Excellence in Environmental Toxicology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Thomas P McKeon
- Center of Excellence in Environmental Toxicology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Jacques Ravel
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Michal A Elovitz
- Maternal and Child Health Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Heather H Burris
- Maternal and Child Health Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Department of Pediatrics, The Children's Hospital of Philadelphia and University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
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16
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Huang W, Schinasi LH, Kenyon CC, Moore K, Melly S, Hubbard RA, Zhao Y, Diez Roux AV, Forrest CB, Maltenfort M, De Roos AJ. Effects of ambient air pollution on childhood asthma exacerbation in the Philadelphia metropolitan Region, 2011-2014. Environ Res 2021; 197:110955. [PMID: 33676951 DOI: 10.1016/j.envres.2021.110955] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 01/22/2021] [Accepted: 03/01/2021] [Indexed: 06/12/2023]
Abstract
Fine particulate matter (PM2.5) and ozone (O3) air pollutants are known risk factors for asthma exacerbation. We studied the association of these air pollutants with pediatric asthma exacerbation in the Philadelphia metropolitan region, and evaluated potential effect modification by children's characteristics (e.g., race/ethnicity, atopic conditions) and environmental factors (e.g., neighborhood tree canopy, meteorological factors, aeroallergens). We conducted a time-stratified case-crossover study of 54,632 pediatric (age ≤18 years) asthma exacerbation cases occurring from 2011 to 2014, identified through electronic health records (EHR) of the Children's Hospital of Philadelphia (CHOP) health system. We applied conditional logistic regression to estimate associations between air pollution and asthma exacerbation, using daily census-tract level pollutant concentrations estimated from the EPA Fused Air Quality Surface Using Downscaling (FAQSD) files. The associations were estimated within warm (Apr-Sep) and cold (Oct-Mar) months for unlagged exposure and for cumulative effects up to 5 days after exposure, with adjustment for temperature, relative humidity, and holidays. We found small increases in odds of asthma exacerbation with higher pollutant concentrations, with positive associations (OR, comparing concentrations of 75th to 25th percentile) observed for PM2.5 during both warm (1.03, 95% CI: 0.98-1.08) and cold months (1.05, 95% CI: 1.02-1.07), and for O3 during cold months (1.08, 95% CI: 1.02-1.14). The exposure-response relationship with PM2.5 during the cold months was essentially linear, whereas thresholds of effect were observed for the other associations at low-medium pollutant concentrations. Results were robust to multi-pollutant modeling and adjustment for additional covariates. We found no effect modification by most children's characteristics, while effect sizes were higher on days with detected tree and grass pollens during warm months. Our results suggest that even small decreases in pollutant concentrations could potentially reduce risk of childhood asthma exacerbation - an important finding, given the high burden of childhood asthma and known disparities in asthma control.
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Affiliation(s)
- Wanyu Huang
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
| | - Leah H Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, PA, USA; Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Chén C Kenyon
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kari Moore
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Steven Melly
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Rebecca A Hubbard
- Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Yuzhe Zhao
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Ana V Diez Roux
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA; Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Christopher B Forrest
- The Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Mitchell Maltenfort
- The Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, PA, USA; Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
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Nriagu BN, Ako AA, Wang C, De Roos AJ, Wallace R, Allison MA, Seguin RA, Michael YL. Occupations Associated With Poor Cardiovascular Health in Women: The Women's Health Initiative Observational Study. J Occup Environ Med 2021; 63:387-394. [PMID: 33928936 DOI: 10.1097/jom.0000000000002135] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Research on the effect of occupation on cardiovascular health (CVH) among older women is limited. METHODS Each of the seven American Heart Association's CVH metrics was scored as ideal (1) or non-ideal (0) and summed. Multivariable logistic regression was used to estimate the odds of poor overall CVH (CVH score of 0 to 2) comparing women employed in each of the top 20 occupational categories to those not employed in that category, adjusting for age, marital status, and race/ethnicity. RESULTS (1) Bookkeeping, accounting, and auditing clerks; (2) first-line supervisors of sales workers; (3) first-line supervisors of office and administrative support workers; and (4) nursing, psychiatric, and home health aides were more likely to have poor overall CVH compared to women who did not work in these occupations. CONCLUSIONS Several commonly held occupations among women were associated with poor CVH.
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Affiliation(s)
- Bede N Nriagu
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania (Nriagu, Ako, Wang, Michael); Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania (De Roos); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa (Wallace); Department of Family Medicine and Public Health University of California, San Diego, La Jolla, California (Allison); Texas A&M AgriLife Research, Texas A&M University System, College Station, Texas (Seguin)
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18
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Nriagu BN, Ako AA, Wang C, De Roos AJ, Wallace R, Allison MA, Seguin RA, Michael YL. Occupations Associated with Poor Cardiovascular Health in Women: The Women's Health Initiative Observational Study. J Occup Environ Med 2021; Publish Ahead of Print:00043764-900000000-97984. [PMID: 33405497 DOI: 10.1097/jom.00000000000021] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Research on the effect of occupation on cardiovascular health (CVH) among older women is limited. METHODS Each of the 7 American Heart Association's CVH metrics was scored as ideal (1) or non-ideal (0) and summed. Multivariable logistic regression was used to estimate the odds of poor overall CVH (CVH score of 0-2) comparing women employed in each of the top 20 occupational categories to those not employed in that category, adjusting for age, marital status, and race/ethnicity. RESULTS 1) Bookkeeping, accounting, and auditing clerks; 2) first-line supervisors of sales workers; 3) first-line supervisors of office and administrative support workers; and 4) nursing, psychiatric, and home health aides were more likely to have poor overall CVH compared to women who did not work in these occupations. CONCLUSIONS Several commonly held occupations among women were associated with poor CVH.
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Affiliation(s)
- Bede N Nriagu
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania (Nriagu, Ako, Wang, Michael), Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania (Roos), Department of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa (Wallace), Department of Family Medicine and Public Health University of California, San Diego, La Jolla (Allison), Texas A&M AgriLife Research, Texas A&M University System (Seguin)
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De Roos AJ, Kenyon CC, Zhao Y, Moore K, Melly S, Hubbard RA, Henrickson SE, Forrest CB, Diez Roux AV, Maltenfort M, Schinasi LH. Ambient daily pollen levels in association with asthma exacerbation among children in Philadelphia, Pennsylvania. Environ Int 2020; 145:106138. [PMID: 32961469 DOI: 10.1016/j.envint.2020.106138] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 08/07/2020] [Accepted: 09/10/2020] [Indexed: 06/11/2023]
Abstract
Pollen from trees, grasses, and weeds can trigger asthma exacerbation in sensitized individuals. However, there are gaps in knowledge about the effects, such as the relative risks from different plant taxa and threshold levels of effect. We aimed to describe the local association between pollen and asthma exacerbation among children in the City of Philadelphia, and to evaluate whether effects are modified by children's characteristics and clinical factors (e.g., child's age, race/ethnicity, comorbidities). We conducted a time-stratified case-crossover study of pediatric (age <18 years) asthma exacerbation, with cases identified through electronic health records (EHR) of the Children's Hospital of Philadelphia (CHOP) health system from March through October in the years 2011-2016. Daily pollen counts were obtained from the local National Allergy Bureau certified pollen counter. We applied conditional logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for the association between the pollen level (vs. none detected) and odds of asthma exacerbation, adjusting for temperature, relative humidity, and holidays. We estimated same-day exposure effects, as well as effects from exposure lagged by up to 5 days. There were 35,040 asthma exacerbation events during the study period, with the majority occurring among black, non-Hispanic children (81.8%) and boys (60.4%). We found increased odds of asthma exacerbation among Philadelphia children in association with tree pollen, both for total tree pollen and most individual tree types. Increased odds from total tree pollen were observed at the lowest levels studied (≤5 grains/m3, unlagged, OR = 1.06, 95% CI: 1.02, 1.10), and exhibited a positive exposure-response pattern of effect; tree pollen levels above 1000 grains/m3 (unlagged) were associated with 64% increased odds of asthma exacerbation (95% CI: 1.45, 1.84). Grass pollen was associated with asthma exacerbation only at levels above the 99th percentile (52 grains/m3), which occurred, on average, two days per year during the study period (with 2-day lag, OR = 1.38, 95% CI: 1.19, 1.60). There was an inverse association (reduced asthma exacerbation) with ragweed pollen that was consistent across analyses. Pollen from other weeds was associated with increased odds of asthma exacerbation, without a clear exposure-response pattern (2-day lag, significant increases ranging from 8% to 19%). Increased odds from tree pollen and weeds (other than ragweed) were higher among children with allergic rhinitis. While there are known benefits from urban vegetation for human health, there are risks as well. It is important to note, however, that pollen is released during a limited time frame each year, and advisories informed by local data can enable susceptible individuals to avoid outdoor exposure on high-risk days.
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Affiliation(s)
- Anneclaire J De Roos
- Department of Environmental & Occupational Health, Dornsife School of Public Health, Drexel University, 3215 Market St, 6(th) floor, Philadelphia, PA 19104, United States.
| | - Chén C Kenyon
- Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104-4399, United States
| | - Yuzhe Zhao
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St, 7th floor, Philadelphia, PA 19104, United States
| | - Kari Moore
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St, 7th floor, Philadelphia, PA 19104, United States
| | - Steve Melly
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St, 7th floor, Philadelphia, PA 19104, United States
| | - Rebecca A Hubbard
- Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania School of Medicine, 604 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, United States
| | - Sarah E Henrickson
- Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104-4399, United States
| | - Christopher B Forrest
- Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104-4399, United States
| | - Ana V Diez Roux
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St, 7th floor, Philadelphia, PA 19104, United States
| | - Mitchell Maltenfort
- Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104-4399, United States
| | - Leah H Schinasi
- Department of Environmental & Occupational Health, Dornsife School of Public Health, Drexel University, 3215 Market St, 6(th) floor, Philadelphia, PA 19104, United States
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Schinasi LH, Kenyon CC, Moore K, Melly S, Zhao Y, Hubbard R, Maltenfort M, Diez Roux AV, Forrest CB, De Roos AJ. Heavy precipitation and asthma exacerbation risk among children: A case-crossover study using electronic health records linked with geospatial data. Environ Res 2020; 188:109714. [PMID: 32559685 DOI: 10.1016/j.envres.2020.109714] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 05/19/2020] [Accepted: 05/20/2020] [Indexed: 06/11/2023]
Abstract
Extreme precipitation events may be an important environmental trigger for asthma exacerbations in children. We used a time stratified case-crossover design and data from a large electronic health record database at the Children's Hospital of Philadelphia (CHOP) to estimate associations of daily heavy precipitation (defined as > 95th percentile of the summertime distribution) with asthma exacerbation among children. We defined control days as those falling on the same day of the week within the same month and year as the case. We restricted our primary analyses to the summer months in years 2011-2016 and used conditional logistic regression models to estimate associations between heavy precipitation and acute asthma exacerbations in both outpatient (primary care, specialty care, and emergency department) and inpatient settings. We investigated numerous individual-level (e.g., age, sex, eczema diagnosis) and environmental measures (e.g., greenspace, particulate matter) as potential effect modifiers. The analysis include 13,483 asthma exacerbations in 10,434 children. Odds of asthma exacerbation were 11% higher on heavy precipitation vs. no precipitation days (95% CI: 1.02-1.21). There was little evidence of effect modification by most measures. These results suggest that heavy summertime precipitation events may contribute to asthma exacerbations. Further research using larger datasets from other health systems is needed to confirm these results, and to explore underlying mechanisms.
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Affiliation(s)
- Leah H Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA; Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
| | - Chén C Kenyon
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kari Moore
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Steve Melly
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Yuzhe Zhao
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Rebecca Hubbard
- Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Mitch Maltenfort
- The Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - A V Diez Roux
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Christopher B Forrest
- The Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA; Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
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Wang C, De Roos AJ, Fujishiro K, Allison MA, Wallace R, Seguin RA, Nassir R, Michael YL. Occupational Physical Activity and Coronary Heart Disease in Women's Health Initiative Observational Study. J Gerontol A Biol Sci Med Sci 2020; 74:1952-1958. [PMID: 30590438 DOI: 10.1093/gerona/gly288] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [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: 04/16/2018] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Women comprise nearly half of the labor force in our society, but the impact of the occupational psychical activity on women's heart health in later life was unclear. We conducted a case-cohort study to assess the association of occupational physical activity (OPA), alone and jointly with leisure-time physical activity (LTPA) and risk of coronary heart disease (CHD). METHODS We included women enrolled in Women's Health Initiative Observational Study who provided an occupational history at baseline and were followed until 2013 for the first occurrence of myocardial infarction or death from CHD (mean age ± SD = 63.4 ± 7.2). A total of 5,243 women free of CHD at baseline were randomly selected into a subcohort and 3,421 CHD events were adjudicated during follow-up. Through linkage of Standard Occupational Classification codes to the Occupational Information Network, we assessed cumulative and most recent exposure of OPA. LTPA was assessed through Women's Health Initiative's physical activity questionnaire. Weighted Cox proportional hazard models were used to evaluate CHD risk. RESULTS After adjustment for demographic and socioeconomic factors, levels of OPA were not associated with CHD risk. Compared with women with low OPA and high LTPA, women with moderate to high cumulative OPA and low LTPA had relative high CHD risk (hazard ratio [HR]: 1.54, 95% confidence interval [CI]: 1.26, 1.88 for moderate OPA and HR: 1.46. 95% CI: 1.20, 1.78 for high OPA). DISCUSSION Results from this study suggest no overall association between lifetime OPA and CHD risk in women, but the impact of OPA varies by LTPA levels.
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Affiliation(s)
- Conglong Wang
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania
| | - Kaori Fujishiro
- Division of Surveillance, Hazard Evaluations, and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio
| | - Matthew A Allison
- Department of Family Medicine and Public Health University of California, San Diego, La Jolla
| | - Robert Wallace
- Department of Preventive Medicine and Environmental Health, University of Iowa, Ithaca, New York
| | - Rebecca A Seguin
- Division of Nutritional Sciences, Cornell University, Ithaca, New York
| | - Rami Nassir
- Department of Biochemistry and Molecular Medicine, University of California, Davis
| | - Yvonne L Michael
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania
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De Roos AJ, Kondo MC, Robinson LF, Rai A, Ryan M, Haas CN, Lojo J, Fagliano JA. Heavy precipitation, drinking water source, and acute gastrointestinal illness in Philadelphia, 2015-2017. PLoS One 2020; 15:e0229258. [PMID: 32092111 PMCID: PMC7039462 DOI: 10.1371/journal.pone.0229258] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 02/02/2020] [Indexed: 11/19/2022] Open
Abstract
Runoff from heavy precipitation events can lead to microbiological contamination of source waters for public drinking water supplies. Philadelphia is a city of interest for a study of waterborne acute gastrointestinal illness (AGI) because of frequent heavy precipitation, extensive impervious landcover, and combined sewer systems that lead to overflows. We conducted a time-series analysis of the association between heavy precipitation and AGI incidence in Philadelphia, served by drinking water from Delaware River and Schuylkill River source waters. AGI cases on each day during the study period (2015-2017) were captured through syndromic surveillance of patients' chief complaint upon presentation at local emergency departments. Daily precipitation was represented by measurements at the Philadelphia International Airport and by modeled precipitation within the watershed boundaries, and we also evaluated stream flowrate as a proxy of precipitation. We estimated the association using distributed lag nonlinear models, assuming a quasi-Poisson distribution of the outcome variable and with adjustment for potential confounding by seasonal and long-term time trends, ambient temperature, day-of-week, and major holidays. We observed an association between heavy precipitation and AGI incidence in Philadelphia that was primarily limited to the spring season, with significant increases in AGI that peaked from 8 to 16 days following a heavy precipitation event. For example, the increase in AGI incidence related to airport precipitation above the 95th percentile (vs no precipitation) during spring reached statistical significance on lag day 7, peaked on day 16 (102% increase, 95% confidence interval: 16%, 252%), and declined while remaining significantly elevated through day 28. Similar associations were observed in analyses of watershed-specific precipitation in relation to AGI cases within the populations served by drinking water from each river. Our results suggest that heavy precipitation events in Philadelphia result in detectable local increases in waterborne AGI.
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Affiliation(s)
- Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America
- * E-mail:
| | - Michelle C. Kondo
- Northern Research Station, United States Department of Agriculture—Forest Service, Philadelphia, Pennsylvania, United States of America
| | - Lucy F. Robinson
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America
| | - Arjita Rai
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America
| | - Michael Ryan
- Department of Civil, Architectural, and Environmental Engineering, College of Engineering, Drexel University, Philadelphia, Pennsylvania, United States of America
| | - Charles N. Haas
- Department of Civil, Architectural, and Environmental Engineering, College of Engineering, Drexel University, Philadelphia, Pennsylvania, United States of America
| | - José Lojo
- Division of Disease Control, Philadelphia Department of Public Health, Philadelphia, Pennsylvania, United States of America
| | - Jerald A. Fagliano
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America
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Kenyon CC, Maltenfort MG, Hubbard RA, Schinasi LH, De Roos AJ, Henrickson SE, Bryant-Stephens TC, Forrest CB. Variability in Diagnosed Asthma in Young Children in a Large Pediatric Primary Care Network. Acad Pediatr 2020; 20:958-966. [PMID: 32044466 PMCID: PMC8628349 DOI: 10.1016/j.acap.2020.02.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 01/27/2020] [Accepted: 02/01/2020] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Our objectives were to 1) quantify the frequency of wheezing episodes and asthma diagnosis in young children in a large pediatric primary care network and 2) assess the variability in practice-level asthma diagnosis, accounting for common asthma risk factors and comorbidities. We hypothesized that significant variability in practice-level asthma diagnosis rates would remain after adjusting for associated predictors. METHODS We generated a retrospective longitudinal birth cohort of children who visited 1 of 31 pediatric primary care practices within the first 6 months of life from 1/2005 to 12/2016. Children were observed for up to 8 years or until the end of the observation window. We used multivariable discrete time survival models to evaluate predictors of asthma diagnosis by 3-month age intervals. We compared unadjusted and adjusted proportions of children diagnosed with asthma by practice. RESULTS Of the 161,502 children in the cohort, 34,578 children (21%) received at least 1 asthma diagnosis. In multivariable modeling, male gender, minority race/ethnicity, gestational age <34 weeks, allergic rhinitis, food allergy, and prior wheezing episodes were associated with asthma diagnosis. After adjusting for variation in these predictors across practices, the cumulative incidence of asthma diagnosis by practice by age 6 years ranged from 11% to 47% (interquartile range: 24%-29%). CONCLUSIONS Across pediatric primary care practices, adjusted incidence of asthma diagnosis by age 6 years ranged widely, though variation gauged by the interquartile range was more modest. Potential sources of practice-level variation, such as differing diagnosis thresholds and labeling of different wheezing phenotypes as "asthma," should be further investigated.
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Affiliation(s)
- Chén C. Kenyon
- PolicyLab, Children’s Hospital of Philadelphia,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania
| | | | - Rebecca A. Hubbard
- Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania
| | - Leah H. Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University,Urban Health Collaborative, Dornsife School of Public Health, Drexel University
| | - Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University,Urban Health Collaborative, Dornsife School of Public Health, Drexel University
| | - Sarah E. Henrickson
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania,Division of Allergy and Immunology, Children’s Hospital of Philadelphia and Institute for Immunology, Perelman School of Medicine, Philadelphia, PA
| | | | - Christopher B. Forrest
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania,Applied Clinical Research Center, Children’s Hospital of Philadelphia
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Setty K, Bartram J, De Roos AJ, Beaudeau P. Water safety plans and risk assessment: A novel procedure applied to treated water turbidity and gastrointestinal diseases. Int J Hyg Environ Health 2019; 229:113435. [PMID: 31882293 DOI: 10.1016/j.ijheh.2019.113435] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 12/11/2019] [Indexed: 10/25/2022]
Affiliation(s)
- Karen Setty
- ORISE at U.S. Environmental Protection Agency, United States(1).
| | - Jamie Bartram
- The Water Institute at University of North Carolina at Chapel Hill, United States; University of Leeds, United Kingdom
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Schinasi LH, Bloch JR, Melly S, Zhao Y, Moore K, De Roos AJ. High Ambient Temperature and Infant Mortality in Philadelphia, Pennsylvania: A Case-Crossover Study. Am J Public Health 2019; 110:189-195. [PMID: 31855483 DOI: 10.2105/ajph.2019.305442] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [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
OBJECTIVE To quantify the association between heat and infant mortality and identify factors that influence infant vulnerability to heat. METHODS We conducted a time-stratified case-crossover analysis of associations between ambient temperature and infant mortality in Philadelphia, Pennsylvania, during the warm months of 2000 through 2015. We used conditional logistic regression models to estimate associations of infant mortality with daily temperatures on the day of death (lag 0) and for averaging periods of 0 to 1 to 0 to 3 days before the day of death. We explored modification of associations by individual and census tract-level characteristics and by amounts of green space. RESULTS Risk of infant mortality increased by 22.4% (95% confidence interval [CI] = 5.0%, 42.6%) for every 1°C increase in minimum daily temperature over 23.9°C on the day of death. We observed limited evidence of effect modification across strata of the covariates. CONCLUSIONS Our results contribute to a growing body of evidence that infants are a subpopulation that is particularly vulnerable to climate change effects. Further research using large data sets is critically needed to elucidate modifiable factors that may protect infants against heat vulnerability.
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Affiliation(s)
- Leah H Schinasi
- Leah H. Schinasi and Anneclaire J. De Roos are with the Department of Environmental and Occupational Health, Drexel University, Philadelphia, PA. Joan Rosen Bloch is with the College of Nursing and Health Professions, Drexel University. Steven Melly, Yuzhe Zhao, and Kari Moore are with the Urban Health Collaborative, Drexel University
| | - Joan Rosen Bloch
- Leah H. Schinasi and Anneclaire J. De Roos are with the Department of Environmental and Occupational Health, Drexel University, Philadelphia, PA. Joan Rosen Bloch is with the College of Nursing and Health Professions, Drexel University. Steven Melly, Yuzhe Zhao, and Kari Moore are with the Urban Health Collaborative, Drexel University
| | - Steven Melly
- Leah H. Schinasi and Anneclaire J. De Roos are with the Department of Environmental and Occupational Health, Drexel University, Philadelphia, PA. Joan Rosen Bloch is with the College of Nursing and Health Professions, Drexel University. Steven Melly, Yuzhe Zhao, and Kari Moore are with the Urban Health Collaborative, Drexel University
| | - Yuzhe Zhao
- Leah H. Schinasi and Anneclaire J. De Roos are with the Department of Environmental and Occupational Health, Drexel University, Philadelphia, PA. Joan Rosen Bloch is with the College of Nursing and Health Professions, Drexel University. Steven Melly, Yuzhe Zhao, and Kari Moore are with the Urban Health Collaborative, Drexel University
| | - Kari Moore
- Leah H. Schinasi and Anneclaire J. De Roos are with the Department of Environmental and Occupational Health, Drexel University, Philadelphia, PA. Joan Rosen Bloch is with the College of Nursing and Health Professions, Drexel University. Steven Melly, Yuzhe Zhao, and Kari Moore are with the Urban Health Collaborative, Drexel University
| | - Anneclaire J De Roos
- Leah H. Schinasi and Anneclaire J. De Roos are with the Department of Environmental and Occupational Health, Drexel University, Philadelphia, PA. Joan Rosen Bloch is with the College of Nursing and Health Professions, Drexel University. Steven Melly, Yuzhe Zhao, and Kari Moore are with the Urban Health Collaborative, Drexel University
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Abstract
Despite mounting evidence that urban greenspace protects against mortality in adults, few studies have explored the relationship between greenspace and death among infants. Here, we describe results from an analysis of associations between greenness and infant mortality in Philadelphia, PA. We used images of the normalized difference vegetation index (NDVI), derived from processed satellite data, to estimate greenness density in each census tract. We linked these data with census tract level counts of total infant mortality cases (n = 963) and births (n = 113,610) in years 2010-2014, and used Bayesian spatial areal unit, conditional autoregressive models to estimate associations between greenness and infant mortality. The models included a set of random effects to account for spatial autocorrelation between neighboring census tracts. Infant mortality counts were modeled using a Poisson distribution, and the logarithm of total births in each census tract was specified as the offset term. The following variables were included as potential confounders and effect modifiers: percentage non-Hispanic black, percentage living below the poverty line, an indicator of housing quality, and population density. In adjusted models, the rate of infant mortality was 27% higher in less green compared to more green tracts (95% CI 1.02-1.59). These results contribute further evidence that greenspace may be a health promoting environmental asset.
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Affiliation(s)
- Leah H Schinasi
- Dornsife School of Public Health, Urban Health Collaborative, Drexel University, Philadelphia, PA, USA.
- Dornsife School of Public Health, Department of Environmental and Occupational Health, Drexel University, Philadelphia, PA, USA.
| | - Harrison Quick
- Dornsife School of Public Health, Urban Health Collaborative, Drexel University, Philadelphia, PA, USA
- Dornsife School of Public Health, Department of Biostatistics and Epidemiology, Drexel University, Philadelphia, PA, USA
| | - Jane E Clougherty
- Dornsife School of Public Health, Urban Health Collaborative, Drexel University, Philadelphia, PA, USA
- Dornsife School of Public Health, Department of Environmental and Occupational Health, Drexel University, Philadelphia, PA, USA
| | - Anneclaire J De Roos
- Dornsife School of Public Health, Urban Health Collaborative, Drexel University, Philadelphia, PA, USA
- Dornsife School of Public Health, Department of Environmental and Occupational Health, Drexel University, Philadelphia, PA, USA
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Kondo MC, De Roos AJ, White LS, Heilman WE, Mockrin MH, Gross-Davis CA, Burstyn I. Meta-Analysis of Heterogeneity in the Effects of Wildfire Smoke Exposure on Respiratory Health in North America. Int J Environ Res Public Health 2019; 16:E960. [PMID: 30889810 PMCID: PMC6466235 DOI: 10.3390/ijerph16060960] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 03/12/2019] [Accepted: 03/14/2019] [Indexed: 01/03/2023]
Abstract
Epidemiological studies consistently show an association between wildfire-related smoke exposure and adverse respiratory health. We conducted a systematic review of evidence in published literature pertaining to heterogeneity of respiratory effects from this exposure in North America. We calculated the within-study ratio of relative risks (RRR) and 95% confidence intervals (CI) to examine heterogeneity of effect by population subgroup, and then summarized the RRRs using meta-analysis. We found evidence of a greater effect of wildfire smoke on respiratory health among females relative to males for asthma (RRR: 1.035, 95% CI: 1.013, 1.057) and chronic obstructive pulmonary disease (RRR: 1.018, 95% CI: 1.003, 1.032). There was evidence of a lower relative risk for all respiratory outcomes among youth compared to adults (RRR: 0.976, 95% CI: 0.963, 0.989). We also found wildfire smoke effects stratified by income, race, education, health behaviors, access to care, housing occupancy, geographic region, and urban/rural status. However, data were insufficient to quantitatively evaluate effect modification by these characteristics. While we found evidence that certain demographic subgroups of the population are more susceptible to respiratory health outcomes from wildfire smoke, it is unclear whether this information can be used to inform policy aimed to reduce health impact of wildfires.
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Affiliation(s)
- Michelle C Kondo
- Northern Research Station, USDA Forest Service, Baltimore, MA 21228, USA.
| | - Anneclaire J De Roos
- School of Public Health, Environmental and Occupational Health, Drexel University, Philadelphia, PA 19104, USA.
| | - Lauren S White
- School of Public Health, Environmental and Occupational Health, Drexel University, Philadelphia, PA 19104, USA.
| | - Warren E Heilman
- Northern Research Station-Climate, Fire, and Carbon Cycle Sciences, USDA Forest Service, Lansing, MI 48910, USA.
| | - Miranda H Mockrin
- Northern Research Station, USDA Forest Service, Baltimore, MA 21228, USA.
| | - Carol Ann Gross-Davis
- Office of Air Monitoring & Analysis (3AP40), Air Protection Division, US Environmental Protection Agency, Philadelphia, PA 19103, USA.
| | - Igor Burstyn
- School of Public Health, Environmental and Occupational Health, Drexel University, Philadelphia, PA 19104, USA.
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Palumbo AJ, Cannuscio C, De Roos AJ, Robinson L, Mossey J, Wallace R, Garcia L, Shadyab AH, Sealy-Jefferson S, Michael Y. Women’s Occupational Patterns and Later Life Physical Functioning. J Aging Health 2019; 32:410-421. [DOI: 10.1177/0898264319826797] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective: Timing and accumulation of work-related exposures may influence later life health. This study evaluates the association between women’s work patterns and physical functioning. Method: Work history and physical functioning information was collected at baseline for U.S. women ages 50 to 79 years in the Women’s Health Initiative Observational Study ( N = 75,507). We estimated life course workforce participation patterns using latent class analysis. Associations between work patterns and physical limitations were explored using modified Poisson regression. Results: Compared with working continuously, women who left the workforce early had 8% increased risk and women who worked intermittently had 5% reduced risk of physical limitations later in life. The negative association with intermittent workforce participation was stronger for women with substantively complex work (9% reduced risk) than for women with nonsubstantively complex work (2% reduced risk). Discussion: Life course work patterns and characteristics may contribute to physical functioning later in life among women.
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Affiliation(s)
- Aimee J. Palumbo
- Drexel University, Philadelphia, PA, USA
- Temple University, Philadelphia, PA, USA
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29
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De Roos AJ, Spinelli J, Brown EB, Atanackovic D, Baris D, Bernstein L, Bhatti P, Camp NJ, Chiu BC, Clavel J, Cozen W, De Sanjosé S, Dosman JA, Hofmann JN, McLaughlin JR, Miligi L, Monnereau A, Orsi L, Purdue MP, Schinasi LH, Tricot GJ, Wang SS, Zhang Y, Birmann BM, Cocco P. Pooled study of occupational exposure to aromatic hydrocarbon solvents and risk of multiple myeloma. Occup Environ Med 2018; 75:798-806. [PMID: 30121582 DOI: 10.1136/oemed-2018-105154] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [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: 03/23/2018] [Revised: 06/27/2018] [Accepted: 07/07/2018] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To investigate the association between occupational exposure to aromatic hydrocarbon solvents and risk of multiple myeloma (MM) in a large, consortium-based study. METHODS We pooled data on 2854 cases and 10 743 controls from nine studies participating in the InterLymph consortium. Occupational exposures to benzene, toluene and xylene were assigned by a job-exposure matrix, coupled with 'correction' of exposure probability by self-reported or expert-assessed exposure from the individual studies. Cumulative intensity was calculated as the job-specific exposure intensity multiplied by job duration, summed across jobs. Associations were estimated using logistic regression, with inclusion of covariates for study matching factors and other potential confounders. We repeated our main analysis using random-effects meta-analysis to evaluate heterogeneity of effect. RESULTS Benzene, toluene and xylene were each associated with MM. For the three solvents, the highest quartile of high-probability cumulative intensity exposure (vs unexposed) was associated with 42% to 63% increased risks of MM. Associations with toluene and xylene exposures were fairly consistent and robust to sensitivity analyses. The estimated effect for benzene was moderately heterogeneous between the studies. Each solvent's association with MM was stronger for exposure occurring within 20 years of diagnosis than with exposure lagged by more than 20 years. CONCLUSIONS Our study adds important evidence for a role of aromatic hydrocarbon solvents in causation of MM. The difficulty in disentangling individual compounds in this group and a lack of data on potential carcinogenicity of toluene and xylene, in widespread current use, underscore a need for further epidemiological evaluation.
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Affiliation(s)
- Anneclaire J De Roos
- Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - John Spinelli
- Population Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada.,School of Population and Public Health, UBC, Vancouver, Canada
| | - Elizabeth B Brown
- Department of Pathology, University of Alabama, Birmingham, Alabama, USA
| | - Djordje Atanackovic
- Division of Hematology and Hematological Malignancies, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Dalsu Baris
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Leslie Bernstein
- Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, California, USA
| | - Parveen Bhatti
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.,Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Nicola J Camp
- Division of Hematology and Hematological Malignancies, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Brian C Chiu
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| | - Jacqueline Clavel
- INSERM U1153, Epidemiology and Biostatistics Sorbonne Paris Cité (CRESS), Paris, France.,Epidemiology of Childhood and Adolescent Cancers Team (EPICEA), Paris-Descartes University, Villejuif, France
| | - Wendy Cozen
- Departments of Preventive Medicine and Pathology, USC Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Silvia De Sanjosé
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Barcelona, Spain
| | - James A Dosman
- Canadian Centre for Health and Safety in Agriculture, University of Saskatchewan, Saskatoon, Canada
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | | | - Lucia Miligi
- Unit of Environmental and Occupational Epidemiology, Oncological Network, Prevention, Research Institute, Florence, Italy
| | - Alain Monnereau
- INSERM U1153, Epidemiology and Biostatistics Sorbonne Paris Cité (CRESS), Paris, France.,Epidemiology of Childhood and Adolescent Cancers Team (EPICEA), Paris-Descartes University, Villejuif, France.,Inserm Team EPICENE U1219, Hematological Malignancies Registry of Gironde, Bergonie Institute, Bordeaux, France
| | - Laurent Orsi
- INSERM U1153, Epidemiology and Biostatistics Sorbonne Paris Cité (CRESS), Paris, France.,Epidemiology of Childhood and Adolescent Cancers Team (EPICEA), Paris-Descartes University, Villejuif, France
| | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Leah H Schinasi
- Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
| | | | - Sophia S Wang
- Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, California, USA
| | - Yawei Zhang
- School of Public Health, Yale University, New Haven, Connecticut, USA.,School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Division of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Pierluigi Cocco
- Department of Public Health and Clinical Molecular Medicine, University of Cagliari, Cagliari, Italy
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Andreotti G, Koutros S, Hofmann JN, Sandler DP, Lubin JH, Lynch CF, Lerro CC, De Roos AJ, Parks CG, Alavanja MC, Silverman DT, Beane Freeman LE. Glyphosate Use and Cancer Incidence in the Agricultural Health Study. J Natl Cancer Inst 2018; 110:509-516. [PMID: 29136183 PMCID: PMC6279255 DOI: 10.1093/jnci/djx233] [Citation(s) in RCA: 122] [Impact Index Per Article: 20.3] [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: 08/22/2017] [Revised: 09/20/2017] [Accepted: 10/06/2017] [Indexed: 01/07/2023] Open
Abstract
Background Glyphosate is the most commonly used herbicide worldwide, with both residential and agricultural uses. In 2015, the International Agency for Research on Cancer classified glyphosate as "probably carcinogenic to humans," noting strong mechanistic evidence and positive associations for non-Hodgkin lymphoma (NHL) in some epidemiologic studies. A previous evaluation in the Agricultural Health Study (AHS) with follow-up through 2001 found no statistically significant associations with glyphosate use and cancer at any site. Methods The AHS is a prospective cohort of licensed pesticide applicators from North Carolina and Iowa. Here, we updated the previous evaluation of glyphosate with cancer incidence from registry linkages through 2012 (North Carolina)/2013 (Iowa). Lifetime days and intensity-weighted lifetime days of glyphosate use were based on self-reported information from enrollment (1993-1997) and follow-up questionnaires (1999-2005). We estimated incidence rate ratios (RRs) and 95% confidence intervals (CIs) using Poisson regression, controlling for potential confounders, including use of other pesticides. All statistical tests were two-sided. Results Among 54 251 applicators, 44 932 (82.8%) used glyphosate, including 5779 incident cancer cases (79.3% of all cases). In unlagged analyses, glyphosate was not statistically significantly associated with cancer at any site. However, among applicators in the highest exposure quartile, there was an increased risk of acute myeloid leukemia (AML) compared with never users (RR = 2.44, 95% CI = 0.94 to 6.32, Ptrend = .11), though this association was not statistically significant. Results for AML were similar with a five-year (RRQuartile 4 = 2.32, 95% CI = 0.98 to 5.51, Ptrend = .07) and 20-year exposure lag (RRTertile 3 = 2.04, 95% CI = 1.05 to 3.97, Ptrend = .04). Conclusions In this large, prospective cohort study, no association was apparent between glyphosate and any solid tumors or lymphoid malignancies overall, including NHL and its subtypes. There was some evidence of increased risk of AML among the highest exposed group that requires confirmation.
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Affiliation(s)
| | | | | | - Dale P Sandler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC
| | | | - Charles F Lynch
- Department of Epidemiology, University of Iowa, Iowa City, IA
- State Health Registry of Iowa, Iowa City, IA
| | | | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University Dornsife School of Public Health, Philadelphia, PA
| | - Christine G Parks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC
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31
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Callahan CL, Stewart PA, Friesen MC, Locke S, De Roos AJ, Cerhan JR, Severson RK, Rothman N, Purdue MP. Case-control investigation of occupational exposure to chlorinated solvents and non-Hodgkin's lymphoma. Occup Environ Med 2018; 75:415-420. [PMID: 29588333 PMCID: PMC10364142 DOI: 10.1136/oemed-2017-104890] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [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: 11/08/2017] [Revised: 02/08/2018] [Accepted: 03/13/2018] [Indexed: 11/04/2022]
Abstract
OBJECTIVES Although many studies have investigated the association between trichloroethylene (TCE) exposure and non-Hodgkin's lymphoma (NHL), less is known about other chlorinated solvents. We extended our previous analysis of occupational TCE exposure in a multicentre population-based case-control study of NHL to investigate associations with five additional chlorinated solvents: 1,1,1,-trichloroethane, carbon tetrachloride, chloroform, methylene chloride and perchloroethylene. METHODS Cases (n=1189) and controls (n=982) provided detailed information on their occupational histories and workplace exposure to chlorinated solvents for selected occupations using job-specific interview modules. An industrial hygienist used this information and a review of the literature to assess occupational exposure to chlorinated solvents. We computed ORs and 95% CIs for different exposure metrics, with the unexposed group as the referent. We also computed ORs by NHL subtype. RESULTS High cumulative hours exposed to carbon tetrachloride was associated with NHL (>520 hours: OR 1.9; 95% CI 1.0 to 3.6; Ptrend=0.04). This association remained after restricting to jobs with high-intensity exposure (OR 2.0; 95% CI 1.1 to 3.8; P=0.03) and ≥90% exposure probability (OR 2.1; 95% CI 1.0 to 4.3; P=0.03), adjusting for TCE (OR 2.1; 95% CI 1.0- to 4.1; P=0.04) and incorporating a 15-year lag (OR 1.9; 95% CI 1.0 to 3.6; P=0.06). The other evaluated chlorinated solvents were not associated with NHL. CONCLUSIONS This is the first study using high-quality quantitative exposure assessment methods to identify a statistically significant elevated association between occupational exposure to carbon tetrachloride and NHL. Our findings, although limited by a small number of exposed cases, offer evidence that carbon tetrachloride may be a lymphomagen.
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Affiliation(s)
- Catherine L Callahan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | | | - Melissa C Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Sarah Locke
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA
| | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
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Schinasi LH, Benmarhnia T, De Roos AJ. Modification of the association between high ambient temperature and health by urban microclimate indicators: A systematic review and meta-analysis. Environ Res 2018; 161:168-180. [PMID: 29149680 DOI: 10.1016/j.envres.2017.11.004] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 10/31/2017] [Accepted: 11/01/2017] [Indexed: 05/12/2023]
Abstract
BACKGROUND Landscape characteristics, including vegetation and impervious surfaces, influence urban microclimates and may lead to within-city differences in the adverse health effects of high ambient temperatures. OBJECTIVE Our objective was to quantitatively summarize the epidemiologic literature that assessed microclimate indicators as effect measure modifiers (EMM) of the association between ambient temperature and mortality or morbidity. METHODS We systematically identified papers and abstracted relative risk estimates for hot and cool microclimate indicator strata. We calculated the ratio of the relative risks (RRR) and 95% confidence intervals (95% CI) to assess differences in health effects across strata, and pooled the RRR estimates using random effects meta-analyses. RESULTS Eleven papers were retained. In the pooled analyses, people living in hotter areas within cities (based on land surface temperature or modeled estimates of air temperature) had 6% higher risk of mortality/morbidity compared to those in cooler areas (95% CI: 1.03-1.09). Those living in less vegetated areas had 5% higher risk compared to those living in more vegetated areas (95% CI: 1.00-1.11). DISCUSSION There is epidemiologic evidence that those living in hotter, and less vegetated areas of cities have higher risk of morbidity or mortality from higher ambient temperature. Further research with improved assessment of landscape characteristics and investigation of the joint effects of physiologic adaptation and landscape will advance the current understanding. CONCLUSION This review provides quantitative evidence that intra-urban differences in landscape characteristics and micro-urban heat islands contribute to within-city variability in the health effects of high ambient temperatures.
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Affiliation(s)
- Leah H Schinasi
- Drexel University, Dornsife School of Public Health, Department of Environmental and Occupational Health, UC San Diego, United States.
| | - Tarik Benmarhnia
- Department of Family Medicine and Public Health & Scripps Institution of Oceanography, UC San Diego, United States
| | - Anneclaire J De Roos
- Drexel University, Dornsife School of Public Health, Department of Environmental and Occupational Health, UC San Diego, United States
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Bernatsky S, Velásquez García HA, Spinelli JJ, Gaffney P, Smedby KE, Ramsey-Goldman R, Wang SS, Adami HO, Albanes D, Angelucci E, Ansell SM, Asmann YW, Becker N, Benavente Y, Berndt SI, Bertrand KA, Birmann BM, Boeing H, Boffetta P, Bracci PM, Brennan P, Brooks-Wilson AR, Cerhan JR, Chanock SJ, Clavel J, Conde L, Cotenbader KH, Cox DG, Cozen W, Crouch S, De Roos AJ, de Sanjose S, Di Lollo S, Diver WR, Dogan A, Foretova L, Ghesquières H, Giles GG, Glimelius B, Habermann TM, Haioun C, Hartge P, Hjalgrim H, Holford TR, Holly EA, Jackson RD, Kaaks R, Kane E, Kelly RS, Klein RJ, Kraft P, Kricker A, Lan Q, Lawrence C, Liebow M, Lightfoot T, Link BK, Maynadie M, McKay J, Melbye M, Molina TJ, Monnereau A, Morton LM, Nieters A, North KE, Novak AJ, Offit K, Purdue MP, Rais M, Riby J, Roman E, Rothman N, Salles G, Severi G, Severson RK, Skibola CF, Slager SL, Smith A, Smith MT, Southey MC, Staines A, Teras LR, Thompson CA, Tilly H, Tinker LF, Tjonneland A, Turner J, Vajdic CM, Vermeulen RCH, Vijai J, Vineis P, Virtamo J, Wang Z, Weinstein S, Witzig TE, Zelenetz A, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Zucca M, Clarke AE. Lupus-related single nucleotide polymorphisms and risk of diffuse large B-cell lymphoma. Lupus Sci Med 2017; 4:e000187. [PMID: 29214033 PMCID: PMC5715504 DOI: 10.1136/lupus-2016-000187] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 11/18/2016] [Accepted: 11/30/2016] [Indexed: 11/03/2022]
Abstract
OBJECTIVE Determinants of the increased risk of diffuse large B-cell lymphoma (DLBCL) in SLE are unclear. Using data from a recent lymphoma genome-wide association study (GWAS), we assessed whether certain lupus-related single nucleotide polymorphisms (SNPs) were also associated with DLBCL. METHODS GWAS data on European Caucasians from the International Lymphoma Epidemiology Consortium (InterLymph) provided a total of 3857 DLBCL cases and 7666 general-population controls. Data were pooled in a random-effects meta-analysis. RESULTS Among the 28 SLE-related SNPs investigated, the two most convincingly associated with risk of DLBCL included the CD40 SLE risk allele rs4810485 on chromosome 20q13 (OR per risk allele=1.09, 95% CI 1.02 to 1.16, p=0.0134), and the HLA SLE risk allele rs1270942 on chromosome 6p21.33 (OR per risk allele=1.17, 95% CI 1.01 to 1.36, p=0.0362). Of additional possible interest were rs2205960 and rs12537284. The rs2205960 SNP, related to a cytokine of the tumour necrosis factor superfamily TNFSF4, was associated with an OR per risk allele of 1.07, 95% CI 1.00 to 1.16, p=0.0549. The OR for the rs12537284 (chromosome 7q32, IRF5 gene) risk allele was 1.08, 95% CI 0.99 to 1.18, p=0.0765. CONCLUSIONS These data suggest several plausible genetic links between DLBCL and SLE.
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Affiliation(s)
- Sasha Bernatsky
- Division of Clinical Epidemiology, Research Institute of the McGill University Health Centre, Montreal, Canada
| | - Héctor A Velásquez García
- BC Cancer Research Centre and School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - John J Spinelli
- BC Cancer Research Centre and School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - Patrick Gaffney
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA
| | - Karin E Smedby
- Clinical Epidemiology Unit, Department of Medicine, Karolinska Institutet, and Hematology Center, Karolinska University Hospital, Stockholm, Sweden
| | | | - Sophia S Wang
- Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute, Duarte, USA
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA
| | - Emanuele Angelucci
- Hematology Unit, Ospedale Oncologico di Riferimento Regionale ‘A. Businco’, Cagliari, Italy
| | | | - Yan W Asmann
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Jacksonville, USA
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Yolanda Benavente
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA
| | | | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
| | - Heiner Boeing
- Department of Epidemiology, German Institute for Human Nutrition, Potsdam, Germany
| | - Paolo Boffetta
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, France
| | | | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA
| | - Jacqueline Clavel
- Epidemiology of childhood and adolescent cancers Group, Inserm, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris, France
| | - Lucia Conde
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, USA
| | - Karen H Cotenbader
- Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, USA
| | - David G Cox
- INSERM U1052, Cancer Research Center of Lyon, Centre Léon Bérard, Lyon, France
| | - Wendy Cozen
- Department of Preventive Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Simon Crouch
- Department of Health Sciences, University of York, York, UK
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health at Drexel University, Philadelphia, USA
| | - Silvia de Sanjose
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Simonetta Di Lollo
- Department of Surgery and Translational Medicine, Section of Anatomo-Pathology, University of Florence, Florence, Italy
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, USA
| | - Ahmet Dogan
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute and MF MU, Brno, Czech Republic
| | | | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Thomas M Habermann
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, USA
| | - Corinne Haioun
- Lymphoid Malignancies Unit, Henri Mondor Hospital and University Paris Est, Créteil, France
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA
| | - Henrik Hjalgrim
- Division ofHealth Surveillance and Research, Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, USA
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, USA
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Eleanor Kane
- Department of Health Sciences, University of York, York, UK
| | - Rachel S Kelly
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
| | - Robert J Klein
- Icahn Institute for Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Anne Kricker
- Sydney School of Public Health, The University of Sydney, Sydney, Australia
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA
| | | | - Mark Liebow
- Department of Medicine, Mayo Clinic, Rochester, USA
| | | | - Brian K Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, USA
| | - Marc Maynadie
- Registre des Hémopathies Malignes de Côte d'Or, EA 4184, Univ. Bourgogne Franche-Comté and Dijon University Hospital, Dijon, France
| | - James McKay
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Mads Melbye
- Division ofHealth Surveillance and Research, Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Thierry J Molina
- Department of Pathology, AP-HP, Necker Enfants malades, Université Paris Descartes, Sorbonne Paris Cité, France
| | - Alain Monnereau
- Epidemiology of childhood and adolescent cancers Group, Inserm, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris, France
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA
| | - Alexandra Nieters
- Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Germany
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Anne J Novak
- Department of Medicine, Mayo Clinic, Rochester, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | | | - Marco Rais
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Italy
| | - Jacques Riby
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, USA
| | - Eve Roman
- Department of Health Sciences, University of York, York, UK
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA
| | - Gilles Salles
- Department of Hematology, Hospices Civils de Lyon, Pierre benite Cedex, France
| | | | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, USA
| | - Christine F Skibola
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, USA
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, USA
| | - Alex Smith
- Department of Health Sciences, University of York, York, UK
| | - Martyn T Smith
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, USA
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Melbourne, Australia
| | - Anthony Staines
- School of Nursing and Human Sciences, Dublin City University, Dublin, Ireland
| | - Lauren R Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, USA
| | | | - Hervé Tilly
- Centre Heni Becquerel, Université de Rouen, Rouen, France
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA
| | | | - Jenny Turner
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia
| | - Claire M Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Jarmo Virtamo
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Zhaoming Wang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA
| | | | - Andrew Zelenetz
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | | | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, USA
| | - Tongzhang Zheng
- Department of Epidemiology, Brown School of Public Health, Providence, USA
| | - Mariagrazia Zucca
- Department of Biomedical Science, University of Cagliari, Monserrato, Italy
| | - Ann E Clarke
- Division of Rheumatology, University of Calgary, Calgary, Canada
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De Roos AJ, Gurian PL, Robinson LF, Rai A, Zakeri I, Kondo MC. Review of Epidemiological Studies of Drinking-Water Turbidity in Relation to Acute Gastrointestinal Illness. Environ Health Perspect 2017; 125:086003. [PMID: 28886603 PMCID: PMC5882241 DOI: 10.1289/ehp1090] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Revised: 02/24/2017] [Accepted: 02/27/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND Turbidity has been used as an indicator of microbiological contamination of drinking water in time-series studies attempting to discern the presence of waterborne gastrointestinal illness; however, the utility of turbidity as a proxy exposure measure has been questioned. OBJECTIVES We conducted a review of epidemiological studies of the association between turbidity of drinking-water supplies and incidence of acute gastrointestinal illness (AGI), including a synthesis of the overall weight of evidence. Our goal was to evaluate the potential for causal inference from the studies. METHODS We identified 14 studies on the topic (distinct by region, time period and/or population). We evaluated each study with regard to modeling approaches, potential biases, and the strength of evidence. We also considered consistencies and differences in the collective results. DISCUSSION Positive associations between drinking-water turbidity and AGI incidence were found in different cities and time periods, and with both unfiltered and filtered supplies. There was some evidence for a stronger association at higher turbidity levels. The studies appeared to adequately adjust for confounding. There was fair consistency in the notable lags between turbidity measurement and AGI identification, which fell between 6 and 10 d in many studies. CONCLUSIONS The observed associations suggest a detectable incidence of waterborne AGI from drinking water in the systems and time periods studied. However, some discrepant results indicate that the association may be context specific. Combining turbidity with seasonal and climatic factors, additional water quality measures, and treatment data may enhance predictive modeling in future studies. https://doi.org/10.1289/EHP1090.
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Affiliation(s)
- Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University , Philadelphia, Pennsylvania, USA
| | - Patrick L Gurian
- Department of Civil, Architectural, and Environmental Engineering, College of Engineering, Drexel University , Philadelphia, Pennsylvania, USA
| | - Lucy F Robinson
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University , Philadelphia, Pennsylvania, USA
| | - Arjita Rai
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University , Philadelphia, Pennsylvania, USA
| | - Issa Zakeri
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University , Philadelphia, Pennsylvania, USA
| | - Michelle C Kondo
- Northern Research Station, Forest Service, U S. Department of Agriculture (USDA Forest Service) , Philadelphia, Pennsylvania, USA
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Psoter KJ, De Roos AJ, Wakefield J, Mayer JD, Rosenfeld M. Air pollution exposure is associated with MRSA acquisition in young U.S. children with cystic fibrosis. BMC Pulm Med 2017; 17:106. [PMID: 28750627 PMCID: PMC5530959 DOI: 10.1186/s12890-017-0449-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Accepted: 07/19/2017] [Indexed: 01/21/2023] Open
Abstract
Background The role of air pollution in increasing susceptibility to respiratory tract infections in the cystic fibrosis (CF) population has not been well described. We recently demonstrated that chronic PM2.5 exposure is associated with an increased risk of initial Pseudomonas aeruginosa acquisition in young children with CF. The purpose of this study was to determine whether PM2.5 exposure is a risk factor for acquisition of other respiratory pathogens in young children with CF. Methods We conducted a retrospective study of initial acquisition of methicillin susceptible and methicillin resistant Staphylococcus aureus (MSSA and MRSA), Stenotrophomonas maltophilia and Achromobacter xylosoxidans in U.S. children <6 years of age with CF using the CF Foundation Patient Registry, 2003–2009. Multivariable Weibull regression with interval-censored outcomes was used to evaluate the association of PM2.5 concentration in the year prior to birth and risk of acquisition of each organism. Results During follow-up 63%, 17%, 24%, and 5% of children acquired MSSA, MRSA, S. maltophilia, and A. xylosoxidans, respectively. A 10 μg/m3 increase in PM2.5 exposure was associated with a 68% increased risk of MRSA acquisition (Hazard Ratio: 1.68; 95% Confidence Interval: 1.24, 2.27). PM2.5 was not associated with acquisition of other respiratory pathogens. Conclusions Fine particulate matter is an independent risk factor for initial MRSA acquisition in young children with CF. These results support the increasing evidence that air pollution contributes to pulmonary morbidities in the CF community.
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Affiliation(s)
- Kevin J Psoter
- Department of Pediatrics, School of Medicine, The Johns Hopkins University Bayview Medical Center, 5200 Eastern Ave, Mason F. Lord Bldg, Center Towers, Suite 4200, Baltimore, MD, 21224, USA.
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, PA, USA
| | - Jon Wakefield
- Departments of Biostatistics and Statistics, University of Washington, Seattle, WA, USA
| | - Jonathan D Mayer
- Departments of Epidemiology, Geography, Global Health, Medicine (Allergy and Infectious Diseases), Family Medicine, and Health Services, University of Washington, Seattle, WA, USA
| | - Margaret Rosenfeld
- Division of Pulmonary Medicine, University of Washington School of Medicine, Seattle, WA, USA
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Psoter KJ, De Roos AJ, Wakefield J, Mayer JD, Rosenfeld M. Seasonality of acquisition of respiratory bacterial pathogens in young children with cystic fibrosis. BMC Infect Dis 2017; 17:411. [PMID: 28599639 PMCID: PMC5466772 DOI: 10.1186/s12879-017-2511-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 06/01/2017] [Indexed: 12/30/2022] Open
Abstract
Background Seasonal variations are often observed for respiratory tract infections; however, limited information is available regarding seasonal patterns of acquisition of common cystic fibrosis (CF)-related respiratory pathogens. We previously reported differential seasonal acquisition of Pseudomonas aeruginosa in young children with CF and no such variation for methicillin-susceptible Staphylococcus aureus acquisition. The purpose of this study was to describe and compare the seasonal incidence of acquisition of other respiratory bacterial pathogens in young children with CF. Methods We conducted a retrospective study to describe and compare the seasonal incidence of methicillin-resistant Staphylococcus aureus (MRSA), Stenotrophomonas maltophilia, Achromobacter xylosoxidans, and Haemophilus influenzae acquisition in young CF patients residing in the U.S. using the Cystic Fibrosis Foundation National Patient Registry, 2003-2009. Log-linear overdispersed Poisson regression was used to evaluate seasonal acquisition of each of these pathogens. Results A total of 4552 children met inclusion criteria. During follow-up 910 (20%), 1161 (26%), 228 (5%), and 2148 (47%) children acquired MRSA, S. maltophilia, A. xylosoxidans and H. influenzae, respectively. Compared to winter season, MRSA was less frequently acquired in spring (Incidence Rate Ratio [IRR]: 0.79; 95% Confidence Interval [CI]: 0.65, 0.96) and summer (IRR: 0.69; 95% CI: 0.57, 0.84) seasons. Similarly, a lower rate of A. xylosoxidans acquisition was observed in spring (IRR: 0.59; 95% CI: 0.39, 0.89). For H. influenzae, summer (IRR: 0.88; 95% CI: 0.78, 0.99) and autumn (IRR: 0.78; 95% CI: 0.69, 0.88) seasons were associated with lower acquisition rates compared to winter. No seasonal variation was observed for S. maltophilia acquisition. Conclusion Acquisition of CF-related respiratory pathogens displays seasonal variation in young children with CF, with the highest rate of acquisition for most pathogens occurring in the winter. Investigation of factors underlying these observed associations may contribute to our understanding of the aetiology of these infections and guide future infection control strategies. Electronic supplementary material The online version of this article (doi:10.1186/s12879-017-2511-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kevin J Psoter
- Department of Pediatrics, School of Medicine, The Johns Hopkins University Bayview Medical Center, 5200 Eastern Ave, Mason F. Lord Bldg, Suite 4200, Baltimore, MD, 21224, USA.
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, PA, USA
| | - Jon Wakefield
- Departments of Biostatistics and Statistics, University of Washington, Seattle, WA, USA
| | - Jonathan D Mayer
- Departments of Epidemiology, Geography, Global Health, Medicine (Allergy and Infectious Diseases), Family Medicine, and Health Services, University of Washington, Seattle, WA, USA
| | - Margaret Rosenfeld
- Division of Pulmonary Medicine, University of Washington School of Medicine, Seattle, WA, USA.,Department of Pediatrics, Seattle Children's Hospital, Seattle, WA, USA
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Birmann BM, Andreotti G, De Roos AJ, Camp NJ, Chiu BCH, Spinelli JJ, Becker N, Benhaim-Luzon V, Bhatti P, Boffetta P, Brennan P, Brown EE, Cocco P, Costas L, Cozen W, de Sanjosé S, Foretová L, Giles GG, Maynadié M, Moysich K, Nieters A, Staines A, Tricot G, Weisenburger D, Zhang Y, Baris D, Purdue MP. Young Adult and Usual Adult Body Mass Index and Multiple Myeloma Risk: A Pooled Analysis in the International Multiple Myeloma Consortium (IMMC). Cancer Epidemiol Biomarkers Prev 2017; 26:876-885. [PMID: 28223430 PMCID: PMC5457306 DOI: 10.1158/1055-9965.epi-16-0762-t] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [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: 09/27/2016] [Revised: 01/23/2017] [Accepted: 01/30/2017] [Indexed: 12/15/2022] Open
Abstract
Background: Multiple myeloma risk increases with higher adult body mass index (BMI). Emerging evidence also supports an association of young adult BMI with multiple myeloma. We undertook a pooled analysis of eight case-control studies to further evaluate anthropometric multiple myeloma risk factors, including young adult BMI.Methods: We conducted multivariable logistic regression analysis of usual adult anthropometric measures of 2,318 multiple myeloma cases and 9,609 controls, and of young adult BMI (age 25 or 30 years) for 1,164 cases and 3,629 controls.Results: In the pooled sample, multiple myeloma risk was positively associated with usual adult BMI; risk increased 9% per 5-kg/m2 increase in BMI [OR, 1.09; 95% confidence interval (CI), 1.04-1.14; P = 0.007]. We observed significant heterogeneity by study design (P = 0.04), noting the BMI-multiple myeloma association only for population-based studies (Ptrend = 0.0003). Young adult BMI was also positively associated with multiple myeloma (per 5-kg/m2; OR, 1.2; 95% CI, 1.1-1.3; P = 0.0002). Furthermore, we observed strong evidence of interaction between younger and usual adult BMI (Pinteraction <0.0001); we noted statistically significant associations with multiple myeloma for persons overweight (25-<30 kg/m2) or obese (30+ kg/m2) in both younger and usual adulthood (vs. individuals consistently <25 kg/m2), but not for those overweight or obese at only one time period.Conclusions: BMI-associated increases in multiple myeloma risk were highest for individuals who were overweight or obese throughout adulthood.Impact: These findings provide the strongest evidence to date that earlier and later adult BMI may increase multiple myeloma risk and suggest that healthy BMI maintenance throughout life may confer an added benefit of multiple myeloma prevention. Cancer Epidemiol Biomarkers Prev; 26(6); 876-85. ©2017 AACR.
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Affiliation(s)
- Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
| | - Gabriella Andreotti
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services, Rockville, Maryland
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania
| | - Nicola J Camp
- Division of Hematology and Hematologic Malignancies, University of Utah School of Medicine, Salt Lake City, Utah
| | - Brian C H Chiu
- Department of Health Studies, University of Chicago, Chicago, Illinois
| | - John J Spinelli
- Cancer Control Research, BC Cancer Agency and School of Population and Public Health, University of British Columbia, Vancouver, British Coulmbia, Canada
| | - Nikolaus Becker
- German Cancer Center, Division of Cancer Epidemiology, Heidelberg, Germany
| | | | - Parveen Bhatti
- Program in Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Paolo Boffetta
- Mount Sinai School of Medicine, New York, New York
- International Prevention Research Institute, Lyon, France
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Elizabeth E Brown
- Department of Pathology and the Cancer Control and Population Sciences Program, UAB Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama
| | - Pierluigi Cocco
- Department of Public Health, Occupational Health Section, University of Cagliari, Cagliari, Italy
| | - Laura Costas
- Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology, IDIBELL, Barcelona, Spain
| | - Wendy Cozen
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Silvia de Sanjosé
- Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology, IDIBELL, Barcelona, Spain
| | - Lenka Foretová
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
- Department of Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Marc Maynadié
- Registry of Hematological malignancies of Côte d'Or, University of Burgundy, and University Hospital, Dijon, France
| | - Kirsten Moysich
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
| | - Alexandra Nieters
- Center for Chronic Immunodeficiency, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Anthony Staines
- Ireland School of Nursing and Human Sciences, Dublin City University, Glasnevin, Dublin, Ireland
| | - Guido Tricot
- Department of Internal Medicine, University of Iowa, Iowa City, Iowa
| | | | - Yawei Zhang
- Department of Surgery, Yale School of Medicine, New Haven, Connecticut
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut
| | - Dalsu Baris
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services, Rockville, Maryland
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services, Rockville, Maryland
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Palumbo AJ, De Roos AJ, Cannuscio C, Robinson L, Mossey J, Weitlauf J, Garcia L, Wallace R, Michael Y. Work Characteristics Associated with Physical Functioning in Women. Int J Environ Res Public Health 2017; 14:ijerph14040424. [PMID: 28420131 PMCID: PMC5409625 DOI: 10.3390/ijerph14040424] [Citation(s) in RCA: 9] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 03/30/2017] [Accepted: 04/11/2017] [Indexed: 01/09/2023]
Abstract
Women make up almost half of the labor force with older women becoming a growing segment of the population. Work characteristics influence physical functioning and women are at particular risk for physical limitations. However, little research has explored the effects of work characteristics on women’s physical functioning. U.S. women between the ages of 50 and 79 were enrolled in the Women’s Health Initiative Observational Study between 1993 and 1998. Women provided job titles and years worked at their three longest-held jobs (n = 79,147). Jobs were linked to characteristics in the Occupational Information Network. Three categories of job characteristics related to substantive complexity, physical demand, and social collaboration emerged. The association between job characteristics and physical limitations in later life, measured using a SF-36 Physical Functioning score <25th percentile, was examined using modified Poisson regression. After controlling for confounding variables, high physical demand was positively associated with physical limitations (RR = 1.09 CI: 1.06–1.12) and substantively complex work was negatively associated (RR = 0.94, CI: 0.91–0.96). Jobs requiring complex problem solving, active learning, and critical thinking were associated with better physical functioning. Employers should explore opportunities to reduce strain from physically demanding jobs and incorporate substantively complex tasks into women’s work to improve long-term health.
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Affiliation(s)
- Aimee J Palumbo
- Department of Epidemiology and Biostatistics, Drexel University, Dornsife School of Public Health, Philadelphia, PA 19104, USA.
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University, Dornsife School of Public Health, Philadelphia, PA 19104, USA.
| | - Carolyn Cannuscio
- Section on Public Health, Perelman School of Medicine, University of Pennsylvania PA 19104, USA.
| | - Lucy Robinson
- Department of Epidemiology and Biostatistics, Drexel University, Dornsife School of Public Health, Philadelphia, PA 19104, USA.
| | - Jana Mossey
- Department of Epidemiology and Biostatistics, Drexel University, Dornsife School of Public Health, Philadelphia, PA 19104, USA.
| | - Julie Weitlauf
- Veterans Affairs, Palo Alto Health Care System, Palo Alto, CA 94304, USA.
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
| | - Lorena Garcia
- Department of Public Health Sciences, UC Davis School of Medicine, Sacramento, CA 95616, USA.
| | - Robert Wallace
- Department of Epidemiology, University of Iowa, Iowa City, IA 52242, USA.
| | - Yvonne Michael
- Department of Epidemiology and Biostatistics, Drexel University, Dornsife School of Public Health, Philadelphia, PA 19104, USA.
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Deziel NC, Nuckols JR, Jones RR, Graubard BI, De Roos AJ, Pronk A, Gourley C, Colt JS, Ward MH. Comparison of industrial emissions and carpet dust concentrations of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans in a multi-center U.S. study. Sci Total Environ 2017; 580:1276-1286. [PMID: 28017415 PMCID: PMC5330683 DOI: 10.1016/j.scitotenv.2016.12.090] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [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: 09/29/2016] [Revised: 12/11/2016] [Accepted: 12/13/2016] [Indexed: 05/08/2023]
Abstract
Proximity to facilities emitting polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/F) has been associated with increased risk of non-Hodgkin lymphoma (NHL). There is limited information about whether proximity to industrial sources leads to indoor PCDD/F contamination of homes. We measured carpet dust concentrations (pg/g) of 17 toxic PCDD/F congeners and calculated their toxic equivalence (TEQ) in 100 homes in a population-based case-control study of NHL in Detroit, Los Angeles, Seattle, and Iowa (1998-2000). We took global positioning system readings at residences and obtained coordinates and PCDD/F emissions (ng TEQ/yr) from an Environmental Protection Agency database for 6 facility types: coal-fired electricity generating plants, cement kilns burning non-hazardous waste, hazardous waste incinerators, medical waste incinerators, municipal solid waste incinerators, and sewage sludge incinerators. For each residence, we computed an inverse distance-squared weighted average emission index (AEI [pg TEQ/km2/yr]) for all facilities within 5km from 1983 to 2000. We also computed AEIs for each of the 6 facility types. We evaluated relationships between PCDD/F dust concentrations and the all-facility AEI or categories of facility-type AEIs using multivariable linear regression, adjusting for study center, demographics, and home characteristics. A doubling of the all-facility AEI was associated with a 4-8% increase in PCDD/F dust concentrations of 7 of 17 PCDD/F congeners and the TEQ (p-value<0.1). We also observed positive associations between PCDD/F dust concentrations and facility-type AEIs (highest vs. lowest exposure category) for municipal solid waste incinerators (9 PCDD/F, TEQ), and medical waste incinerators (7 PCDD/F, TEQ) (p<0.1). Our results from diverse geographical areas suggest that industrial PCDD/F emission sources contribute to residential PCDD/F dust concentrations. Our emissions index could be improved by incorporating local meteorological data and terrain characteristics. Future research is needed to better understand the links between nearby emission sources, human exposure pathways, and health risks.
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Affiliation(s)
- Nicole C Deziel
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College St., New Haven, CT 06510, United States; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, 9609 Medical Center Dr, Rockville, MD 20850, United States.
| | - John R Nuckols
- Emeritus Professor Department of Environmental Health Sciences, Colorado State University, 1681 Campus Delivery, Fort Collins, CO 80523-1691, United States; JRN-Environmental Health Sciences, Ltd, 10916 Wickshire Way, North Bethesda, MD 20852, United States
| | - Rena R Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, 9609 Medical Center Dr, Rockville, MD 20850, United States
| | - Barry I Graubard
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, 9609 Medical Center Dr, Rockville, MD 20850, United States
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health at Drexel University, 3215 Market St, Philadelphia, PA 19104, United States
| | | | - Chris Gourley
- Southwest Research Institute, 6220 Culebra Rd, San Antonio, TX, 78238-5166, United States
| | - Joanne S Colt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, 9609 Medical Center Dr, Rockville, MD 20850, United States
| | - Mary H Ward
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, 9609 Medical Center Dr, Rockville, MD 20850, United States
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Lerro CC, Beane Freeman LE, Portengen L, Kang D, Lee K, Blair A, Lynch CF, Bakke B, De Roos AJ, Vermeulen RCH. A longitudinal study of atrazine and 2,4-D exposure and oxidative stress markers among iowa corn farmers. Environ Mol Mutagen 2017; 58:30-38. [PMID: 28116766 PMCID: PMC5763550 DOI: 10.1002/em.22069] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [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: 08/09/2016] [Revised: 11/21/2016] [Accepted: 11/22/2016] [Indexed: 05/06/2023]
Abstract
Reactive oxygen species, potentially formed through environmental exposures, can overwhelm an organism's antioxidant capabilities resulting in oxidative stress. Long-term oxidative stress is linked with chronic diseases. Pesticide exposures have been shown to cause oxidative stress in vivo. We utilized a longitudinal study of corn farmers and non-farming controls in Iowa to examine the impact of exposure to the widely used herbicides atrazine and 2,4-dichlorophenoxyacetic acid (2,4-D) on markers of oxidative stress. 225 urine samples were collected during five agricultural time periods (pre-planting, planting, growing, harvest, off-season) for 30 farmers who applied pesticides occupationally and 10 controls who did not; all were non-smoking men ages 40-60. Atrazine mercapturate (atrazine metabolite), 2,4-D, and oxidative stress markers (malondialdehyde [MDA], 8-hydroxy-2'-deoxyguanosine [8-OHdG], and 8-isoprostaglandin-F2α [8-isoPGF]) were measured in urine. We calculated β estimates and 95% confidence intervals (95%CI) for each pesticide-oxidative stress marker combination using multivariate linear mixed-effect models for repeated measures. Farmers had higher urinary atrazine mercapturate and 2,4-D levels compared with controls. In regression models, after natural log transformation, 2,4-D was associated with elevated levels of 8-OHdG (β = 0.066, 95%CI = 0.008-0.124) and 8-isoPGF (β = 0.088, 95%CI = 0.004-0.172). 2,4-D may be associated with oxidative stress because of modest increases in 8-OHdG, a marker of oxidative DNA damage, and 8-isoPGF, a product of lipoprotein peroxidation, with recent 2,4-D exposure. Future studies should investigate the role of 2,4-D-induced oxidative stress in the pathogenesis of human diseases. Environ. Mol. Mutagen. 58:30-38, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Catherine C Lerro
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Lützen Portengen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, 3508, The Netherlands
| | - Daehee Kang
- Seoul National University, Seoul, South Korea
| | - Kyoungho Lee
- Samsung Health Research Institute, Samsung Electronics, Yongin-City, 446-711, South Korea
| | - Aaron Blair
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Charles F Lynch
- Department of Epidemiology, University of Iowa, Iowa City, Iowa
| | - Berit Bakke
- Department of Occupational Health Surveillance, National Institute of Occupational Health, Oslo, Norway
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania
| | - Roel C H Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, 3508, The Netherlands
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
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Burstyn I, De Roos AJ. Visualizing the Heterogeneity of Effects in the Analysis of Associations of Multiple Myeloma with Glyphosate Use. Comments on Sorahan, T. Multiple Myeloma and Glyphosate Use: A Re-Analysis of US Agricultural Health Study (AHS) Data. Int. J. Environ. Res. Public Health 2015, 12, 1548-1559. Int J Environ Res Public Health 2016; 14:E5. [PMID: 28025514 PMCID: PMC5295256 DOI: 10.3390/ijerph14010005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 12/14/2016] [Indexed: 11/16/2022]
Abstract
We address a methodological issue of the evaluation of the difference in effects in epidemiological studies that may arise, for example, from stratum-specific analyses or differences in analytical decisions during data analysis. We propose a new simulation-based method to quantify the plausible extent of such heterogeneity, rather than testing a hypothesis about its existence. We examine the contribution of the method to the debate surrounding risk of multiple myeloma and glyphosate use and propose that its application contributes to a more balanced weighting of evidence.
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Affiliation(s)
- Igor Burstyn
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA.
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA.
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Rand KA, Song C, Dean E, Serie DJ, Curtin K, Sheng X, Hu D, Huff CA, Bernal-Mizrachi L, Tomasson MH, Ailawadhi S, Singhal S, Pawlish K, Peters ES, Bock CH, Stram A, Van Den Berg DJ, Edlund CK, Conti DV, Zimmerman T, Hwang AE, Huntsman S, Graff J, Nooka A, Kong Y, Pregja SL, Berndt SI, Blot WJ, Carpten J, Casey G, Chu L, Diver WR, Stevens VL, Lieber MR, Goodman PJ, Hennis AJM, Hsing AW, Mehta J, Kittles RA, Kolb S, Klein EA, Leske C, Murphy AB, Nemesure B, Neslund-Dudas C, Strom SS, Vij R, Rybicki BA, Stanford JL, Signorello LB, Witte JS, Ambrosone CB, Bhatti P, John EM, Bernstein L, Zheng W, Olshan AF, Hu JJ, Ziegler RG, Nyante SJ, Bandera EV, Birmann BM, Ingles SA, Press MF, Atanackovic D, Glenn MJ, Cannon-Albright LA, Jones B, Tricot G, Martin TG, Kumar SK, Wolf JL, Deming Halverson SL, Rothman N, Brooks-Wilson AR, Rajkumar SV, Kolonel LN, Chanock SJ, Slager SL, Severson RK, Janakiraman N, Terebelo HR, Brown EE, De Roos AJ, Mohrbacher AF, Colditz GA, Giles GG, Spinelli JJ, Chiu BC, Munshi NC, Anderson KC, Levy J, Zonder JA, Orlowski RZ, Lonial S, Camp NJ, Vachon CM, Ziv E, Stram DO, Hazelett DJ, Haiman CA, Cozen W. A Meta-analysis of Multiple Myeloma Risk Regions in African and European Ancestry Populations Identifies Putatively Functional Loci. Cancer Epidemiol Biomarkers Prev 2016; 25:1609-1618. [PMID: 27587788 PMCID: PMC5524541 DOI: 10.1158/1055-9965.epi-15-1193] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [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: 11/21/2015] [Revised: 06/20/2016] [Accepted: 07/05/2016] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) in European populations have identified genetic risk variants associated with multiple myeloma. METHODS We performed association testing of common variation in eight regions in 1,318 patients with multiple myeloma and 1,480 controls of European ancestry and 1,305 patients with multiple myeloma and 7,078 controls of African ancestry and conducted a meta-analysis to localize the signals, with epigenetic annotation used to predict functionality. RESULTS We found that variants in 7p15.3, 17p11.2, 22q13.1 were statistically significantly (P < 0.05) associated with multiple myeloma risk in persons of African ancestry and persons of European ancestry, and the variant in 3p22.1 was associated in European ancestry only. In a combined African ancestry-European ancestry meta-analysis, variation in five regions (2p23.3, 3p22.1, 7p15.3, 17p11.2, 22q13.1) was statistically significantly associated with multiple myeloma risk. In 3p22.1, the correlated variants clustered within the gene body of ULK4 Correlated variants in 7p15.3 clustered around an enhancer at the 3' end of the CDCA7L transcription termination site. A missense variant at 17p11.2 (rs34562254, Pro251Leu, OR, 1.32; P = 2.93 × 10-7) in TNFRSF13B encodes a lymphocyte-specific protein in the TNF receptor family that interacts with the NF-κB pathway. SNPs correlated with the index signal in 22q13.1 cluster around the promoter and enhancer regions of CBX7 CONCLUSIONS: We found that reported multiple myeloma susceptibility regions contain risk variants important across populations, supporting the use of multiple racial/ethnic groups with different underlying genetic architecture to enhance the localization and identification of putatively functional alleles. IMPACT A subset of reported risk loci for multiple myeloma has consistent effects across populations and is likely to be functional. Cancer Epidemiol Biomarkers Prev; 25(12); 1609-18. ©2016 AACR.
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Affiliation(s)
- Kristin A Rand
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Chi Song
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | | | | | - Karen Curtin
- University of Utah School of Medicine, Salt Lake City, Utah
| | - Xin Sheng
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Donglei Hu
- University of California at San Francisco, San Francisco, California
| | - Carol Ann Huff
- Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | | | - Michael H Tomasson
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, Washington University, St. Louis, Missouri
| | | | - Seema Singhal
- Robert H. Lurie Cancer Center, Northwestern University, Chicago, Illinois
| | - Karen Pawlish
- New Jersey State Cancer Registry, New Jersey Department of Health, Trenton, New Jersey
| | - Edward S Peters
- Louisiana State University School of Public Health, Louisiana State University, New Orleans, Louisiana
| | - Cathryn H Bock
- Karmanos Cancer Institute and Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan
| | - Alex Stram
- Genomic Health, Inc., Redwood City, California
| | - David J Van Den Berg
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Christopher K Edlund
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - David V Conti
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | | | - Amie E Hwang
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Scott Huntsman
- University of California at San Francisco, San Francisco, California
| | - John Graff
- Rutgers-Robert Wood Johnson Medical School, Rutgers State University of New Jersey, New Brunswick, New Jersey
| | - Ajay Nooka
- Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Yinfei Kong
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Silvana L Pregja
- Karmanos Cancer Institute and Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, U.S. NIH, Bethesda, Maryland
| | - William J Blot
- International Epidemiology Institute, Rockville, Maryland
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - John Carpten
- The Translational Genomics Research Institute, Phoenix, Arizona
| | - Graham Casey
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Lisa Chu
- Cancer Prevention Institute of California, Fremont, California
- Stanford University School of Medicine and Stanford Cancer Institute, Palo Alto, California
| | | | | | - Michael R Lieber
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | | | - Anselm J M Hennis
- Stony Brook University, Stony Brook, New York
- Chronic Disease Research Centre and Faculty of Medical Sciences, University of the West Indies, Bridgetown, Barbados
| | - Ann W Hsing
- Stanford University School of Medicine and Stanford Cancer Institute, Palo Alto, California
| | - Jayesh Mehta
- Robert H. Lurie Cancer Center, Northwestern University, Chicago, Illinois
| | - Rick A Kittles
- Department of Surgery, University of Arizona, Tucson, Arizona
| | - Suzanne Kolb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Eric A Klein
- Glickman Urologic and Kidney Institute, Cleveland Clinic, Cleveland, Ohio
| | | | - Adam B Murphy
- Robert H. Lurie Cancer Center, Northwestern University, Chicago, Illinois
| | | | | | - Sara S Strom
- The University of Texas MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Ravi Vij
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, Washington University, St. Louis, Missouri
| | | | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Lisa B Signorello
- Harvard School of Public Health, Harvard University, Boston, Massachusetts
| | - John S Witte
- Institute for Human Genetics, University of California, San Francisco, San Francisco, California
| | | | - Parveen Bhatti
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Esther M John
- Cancer Prevention Institute of California, Fremont, California
- Stanford University School of Medicine and Stanford Cancer Institute, Palo Alto, California
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, California
| | - Wei Zheng
- International Epidemiology Institute, Rockville, Maryland
| | - Andrew F Olshan
- Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Jennifer J Hu
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, U.S. NIH, Bethesda, Maryland
| | - Sarah J Nyante
- Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Elisa V Bandera
- Rutgers-Robert Wood Johnson Medical School, Rutgers State University of New Jersey, New Brunswick, New Jersey
| | - Brenda M Birmann
- Harvard School of Public Health, Harvard University, Boston, Massachusetts
| | - Sue A Ingles
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Michael F Press
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | | | - Martha J Glenn
- University of Utah School of Medicine, Salt Lake City, Utah
| | | | - Brandt Jones
- University of Utah School of Medicine, Salt Lake City, Utah
| | | | - Thomas G Martin
- University of California at San Francisco, San Francisco, California
| | | | - Jeffrey L Wolf
- University of California at San Francisco, San Francisco, California
| | | | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, U.S. NIH, Bethesda, Maryland
| | | | | | - Laurence N Kolonel
- University of Hawaii Cancer Center, University of Hawaii, Honolulu, Hawaii
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, U.S. NIH, Bethesda, Maryland
| | | | - Richard K Severson
- Karmanos Cancer Institute and Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan
| | | | | | | | | | - Ann F Mohrbacher
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Graham A Colditz
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, Washington University, St. Louis, Missouri
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council of Victoria, Melbourne, Victoria, Australia
- School of Population and Global Health, Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, Victoria, Australia
- Monash University, Melbourne, Melbourne, Victoria, Australia
| | - John J Spinelli
- BC Cancer Agency, Vancouver, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | | | - Nikhil C Munshi
- Dana Farber Cancer Institute, Harvard School of Medicine, Harvard University, Boston, Massachusetts
| | - Kenneth C Anderson
- Dana Farber Cancer Institute, Harvard School of Medicine, Harvard University, Boston, Massachusetts
| | - Joan Levy
- Multiple Myeloma Research Foundation, Norwalk, Connecticut
| | - Jeffrey A Zonder
- Karmanos Cancer Institute and Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan
| | - Robert Z Orlowski
- The University of Texas MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Sagar Lonial
- Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Nicola J Camp
- University of Utah School of Medicine, Salt Lake City, Utah
| | | | - Elad Ziv
- University of California at San Francisco, San Francisco, California
| | - Daniel O Stram
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Dennis J Hazelett
- Center for Bioinformatics and Computational Biology, Cedars Sinai Medical Center, Los Angeles, California.
| | - Christopher A Haiman
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.
| | - Wendy Cozen
- Keck School of Medicine of USC and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.
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Parks CG, Hoppin JA, De Roos AJ, Costenbader KH, Alavanja MC, Sandler DP. Rheumatoid Arthritis in Agricultural Health Study Spouses: Associations with Pesticides and Other Farm Exposures. Environ Health Perspect 2016; 124:1728-1734. [PMID: 27285288 PMCID: PMC5089872 DOI: 10.1289/ehp129] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 03/07/2016] [Accepted: 05/24/2016] [Indexed: 05/06/2023]
Abstract
BACKGROUND Farming has been associated with rheumatoid arthritis (RA), but the role of pesticides is not known. OBJECTIVES We examined associations between RA and pesticides or other agricultural exposures among female spouses of licensed pesticide applicators in the Agricultural Health Study. METHODS Women were enrolled between 1993 and 1997 and followed through 2010. Cases (n = 275 total, 132 incident), confirmed by a physician or by self-reported use of disease modifying antirheumatic drugs, were compared with noncases (n = 24,018). Odds ratios (OR) and 95% confidence intervals (CI) were estimated using logistic regression models adjusted for age, state, and smoking pack-years. RESULTS Overall, women with RA were somewhat more likely to have reported lifetime use of any specific pesticide versus no pesticides (OR = 1.4; 95% CI: 1.0, 1.6). Of the 15 pesticides examined, maneb/mancozeb (OR = 3.3; 95% CI: 1.5, 7.1) and glyphosate (OR = 1.4; 95% CI: 1.0, 2.1) were associated with incident RA compared with no pesticide use. An elevated, but non-statistically significant association with incident RA was seen for DDT (OR = 1.9; 95% CI: 0.97, 3.6). Incident RA was also associated with the application of chemical fertilizers (OR = 1.7; 95% CI: 1.1, 2.7) and cleaning with solvents (OR = 1.6; 95% CI: 1.1, 2.4), but inversely associated with lifetime livestock exposure as a child and adult (OR = 0.48; 95% CI: 0.24, 0.97) compared with no livestock exposure. CONCLUSIONS Our results suggest that specific agricultural pesticides, solvents, and chemical fertilizers may increase the risk of RA in women, while exposures involving animal contact may be protective. Citation: Parks CG, Hoppin JA, De Roos AJ, Costenbader KH, Alavanja MC, Sandler DP. 2016. Rheumatoid arthritis in Agricultural Health Study spouses: associations with pesticides and other farm exposures. Environ Health Perspect 124:1728-1734; http://dx.doi.org/10.1289/EHP129.
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Affiliation(s)
- Christine G. Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
- Address correspondence to C.G. Parks, Epidemiology Branch, A3-05, NIEHS, P.O. Box 12233, Research Triangle Park, NC 27599 USA. Telephone: (919) 541-2577. E-mail:
| | - Jane A. Hoppin
- Center for Human Health and the Environment, Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA
| | - Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA
| | - Karen H. Costenbader
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Michael C. Alavanja
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
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Parks CG, Hoppin JA, De Roos AJ, Costenbader KH, Sandler DP. Response to "Comment on 'Rheumatoid Arthritis in Agricultural Health Study Spouses: Associations with Pesticides and Other Farm Exposures'". Environ Health Perspect 2016; 124:A197. [PMID: 27801650 PMCID: PMC5089892 DOI: 10.1289/ehp944] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Affiliation(s)
- Christine G. Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
| | - Jane A. Hoppin
- Center for Human Health and the Environment, Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA
| | - Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA
| | - Karen H. Costenbader
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA.
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
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Portier CJ, Armstrong BK, Baguley BC, Baur X, Belyaev I, Bellé R, Belpoggi F, Biggeri A, Bosland MC, Bruzzi P, Budnik LT, Bugge MD, Burns K, Calaf GM, Carpenter DO, Carpenter HM, López-Carrillo L, Clapp R, Cocco P, Consonni D, Comba P, Craft E, Dalvie MA, Davis D, Demers PA, De Roos AJ, DeWitt J, Forastiere F, Freedman JH, Fritschi L, Gaus C, Gohlke JM, Goldberg M, Greiser E, Hansen J, Hardell L, Hauptmann M, Huang W, Huff J, James MO, Jameson CW, Kortenkamp A, Kopp-Schneider A, Kromhout H, Larramendy ML, Landrigan PJ, Lash LH, Leszczynski D, Lynch CF, Magnani C, Mandrioli D, Martin FL, Merler E, Michelozzi P, Miligi L, Miller AB, Mirabelli D, Mirer FE, Naidoo S, Perry MJ, Petronio MG, Pirastu R, Portier RJ, Ramos KS, Robertson LW, Rodriguez T, Röösli M, Ross MK, Roy D, Rusyn I, Saldiva P, Sass J, Savolainen K, Scheepers PTJ, Sergi C, Silbergeld EK, Smith MT, Stewart BW, Sutton P, Tateo F, Terracini B, Thielmann HW, Thomas DB, Vainio H, Vena JE, Vineis P, Weiderpass E, Weisenburger DD, Woodruff TJ, Yorifuji T, Yu IJ, Zambon P, Zeeb H, Zhou SF. Differences in the carcinogenic evaluation of glyphosate between the International Agency for Research on Cancer (IARC) and the European Food Safety Authority (EFSA). J Epidemiol Community Health 2016; 70:741-5. [PMID: 26941213 PMCID: PMC4975799 DOI: 10.1136/jech-2015-207005] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
| | | | | | - Xaver Baur
- Charité University Medicine Berlin, Berlin, Germany
| | - Igor Belyaev
- Cancer Research Institute, Bratislava, Slovak Republic
| | - Robert Bellé
- Sorbonne Universités, UPMC Univ Paris 06, UMR8227, Roscoff, France
| | | | - Annibale Biggeri
- Institute for Cancer Prevention and Research, University of Florence, Italy
| | | | - Paolo Bruzzi
- National Cancer Research Institute, San Martino—IST Hospital, Genoa, Italy
| | | | - Merete D Bugge
- STAMI, National Institute of Occupational Health, Oslo, Norway
| | | | - Gloria M Calaf
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile
| | - David O Carpenter
- Institute for Health and the Environment, University at Albany, Rensselaer, New York, USA
| | | | | | - Richard Clapp
- Boston University School of Public Health, Boston, Massachusetts, USA
| | - Pierluigi Cocco
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - Dario Consonni
- Department of Preventive Medicine, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Pietro Comba
- Department of Environment and Primary Prevention, IstitutoSuperiore di Sanità, Rome, Italy
| | - Elena Craft
- Environmental Defense Fund, Austin, Texas, USA
| | - Mohamed Aqiel Dalvie
- Center for Environmental and Occupational Health, University of Cape Town, Cape Town, South Africa
| | - Devra Davis
- Environmental Health Trust, Jackson Hole, Wyoming, USA and The Hebrew University Hadassah School of Medicine, Jerusalem, Israel.
| | - Paul A Demers
- Dalla Lana School of Public Health, University of Toronto, Canada
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Jamie DeWitt
- Brody School of Medicine, East Carolina University, Greenville, North Carolina, USA
| | | | | | - Lin Fritschi
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Caroline Gaus
- Department of Environmental Toxicology, The University of Queensland, Brisbane, Australia
| | - Julia M Gohlke
- Department of Population Health Sciences, Virginia Tech, Blacksburg, Virginia, USA
| | | | | | - Johnni Hansen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Michael Hauptmann
- Biostatistics Branch, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Wei Huang
- Faculty of Department of Occupational and Environmental Health, Peking Univ School of Public Health, Beijing, China
| | - James Huff
- National Institute for Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | | | - C W Jameson
- CWJ Consulting, LLC, Cape Coral, Florida, USA
| | - Andreas Kortenkamp
- Institute of Environment, Health and Societies, Brunel University London, London, UK
| | | | - Hans Kromhout
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Marcelo L Larramendy
- National Council of Scientific and Technological Research, National University of La Plata, Argentina
| | - Philip J Landrigan
- Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai,New York, USA
| | - Lawrence H Lash
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | | | - Charles F Lynch
- Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA
| | - Corrado Magnani
- Cancer Epidemiology Unit, University of Eastern Piedmont, Novara, Italy
| | | | | | - Enzo Merler
- Department of Prevention, Occupational Health Unit, National Health Service, Padua, Italy
| | | | - Lucia Miligi
- Occupational and Environmental Epidemiology Unit, ISPO-Cancer Prevention and Research Institute, Florence, Italy
| | - Anthony B Miller
- Dalla Lana School of Public Health, University of Toronto, Canada
| | - Dario Mirabelli
- Unit of Cancer Epidemiology, University of Turin and CPO-Piemonte, Torino, Italy
| | - Franklin E Mirer
- Department of Environmental and Occupational Health Sciences, City University of New York School of Public Health, USA
| | - Saloshni Naidoo
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Melissa J Perry
- Department of Environmental and Occupational Health, Milken Institute School of Public Health, The George Washington University, Washington DC, USA
| | - Maria Grazia Petronio
- Health and Environment-Department of Prevention, Local Health Authority-Empoli, Florence, Italy
| | - Roberta Pirastu
- Department of Biology and Biotechnology “Charles Darwin”, Sapienza Rome University, Italy
| | - Ralph J Portier
- Department of Environmental Sciences, School of the Coast & Environment, Louisiana State University, Baton Rouge, Los Angeles, USA
| | - Kenneth S Ramos
- Center for Applied Genetics and Genomic Medicine, University of Arizona Health Sciences, Tucson, Arizona, USA
| | - Larry W Robertson
- Iowa Superfund Research Program and the Interdisciplinary Graduate Program in Human Toxicology, University of Iowa, Iowa City, Iowa, USA
| | - Theresa Rodriguez
- Center for Research in Health, Work and Environment (CISTA), National Autonomous University of Nicaragua (UNAN-León), León, Nicaragua
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Associated Institute of the University of Basel, Basel, Switzerland
| | - Matt K Ross
- College of Veterinary Medicine, Mississippi State University, Mississippi State, USA
| | - Deodutta Roy
- Department of Environmental and Occupational Health, Florida International University, Miami, Florida, USA
| | - Ivan Rusyn
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, USA
| | - Paulo Saldiva
- Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Jennifer Sass
- Natural Resources Defense Council and George Washington University, Washington DC, USA
| | - Kai Savolainen
- Nanosafety Research Centre, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Paul T J Scheepers
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Consolato Sergi
- Department of Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Ellen K Silbergeld
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Martyn T Smith
- School of Public Health, University of California, Berkeley, California, USA
| | - Bernard W Stewart
- Faculty of Medicine, University of New South Wales, Randwick, New South WalesAustralia
| | - Patrice Sutton
- Program on Reproductive Health and the Environment, University of California, San Francisco, California, USA
| | - Fabio Tateo
- Istituto di Geosceinze e Georisorse (CNR), Padova, Italy
| | | | - Heinz W Thielmann
- German Cancer Research Center, Heidelberg and Faculty of Pharmacy, Heidelberg University, Germany
| | - David B Thomas
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, Washington, USA
| | - Harri Vainio
- Faculty of Public Health, Kuwait University, Kuwait City, Kuwait
| | - John E Vena
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Paolo Vineis
- Department of Environmental Epidemiology, Imperial College London, London, UK
| | - Elisabete Weiderpass
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway; Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; and Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland.
| | | | - Tracey J Woodruff
- Program on Reproductive Health and the Environment, University of California, San Francisco, USA
| | | | - Il Je Yu
- Institute of Nanoproduct Safety Research, Hoseo University, Asan, The Republic of Korea
| | | | - Hajo Zeeb
- Department of Prevention and Evaluation, Leibniz-Institute for Prevention Research and Epidemiology, Bremen, Germany
| | - Shu-Feng Zhou
- College of Pharmacy, University of South Florida, Tampa, Florida, USA
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Jusko TA, De Roos AJ, Lee SY, Thevenet-Morrison K, Schwartz SM, Verner MA, Murinova LP, Drobná B, Kočan A, Fabišiková A, Čonka K, Trnovec T, Hertz-Picciotto I, Lawrence BP. A Birth Cohort Study of Maternal and Infant Serum PCB-153 and DDE Concentrations and Responses to Infant Tuberculosis Vaccination. Environ Health Perspect 2016; 124:813-21. [PMID: 26649893 PMCID: PMC4892928 DOI: 10.1289/ehp.1510101] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Accepted: 11/20/2015] [Indexed: 05/17/2023]
Abstract
BACKGROUND Reasons for the highly variable and often poor protection conferred by the Mycobacterium bovis bacille Calmette-Guérin (BCG) vaccine are multifaceted and poorly understood. OBJECTIVES We aimed to determine whether early-life exposure to PCBs (polychlorinated biphenyls) and DDE [1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene] reduces 6-month infant BCG vaccine response. METHODS Data came from families participating in a prospective birth cohort in eastern Slovakia. At birth, maternal and cord blood were collected for chemical analyses, and infants were immunized with BCG. Blood was collected from infants for chemical analyses and to determine 6-month BCG-specific immunoglobulin (Ig) G and IgA levels. Multivariable linear regression models were fit to examine chemical-BCG associations among approximately 500 mother-infant pairs, with adjustment for confounders. RESULTS The median 6-month infant concentration of the prevalent congener PCB-153 was 113 ng/g lipid [interquartile range (IQR): 37-248], and 388 ng/g lipid (IQR: 115-847) for DDE. Higher 6-month infant concentrations of PCB-153 and DDE were strongly associated with lower 6-month BCG-specific antibody levels. For instance, BCG-specific IgG levels were 37% lower for infants with PCB-153 concentrations at the 75th percentile compared to the 25th percentile (95% CI: -42, -32; p < 0.001). Results were similar in magnitude and precision for DDE. There was also evidence of PCB-DDE additivity, where exposure to both compounds reduced anti-BCG levels more than exposure to either compound alone. CONCLUSIONS The associations observed in this study indicate that environmental exposures may be overlooked contributors to poorer responses to BCG vaccine. The overall association between these exposures and tuberculosis incidence is unknown. CITATION Jusko TA, De Roos AJ, Lee SY, Thevenet-Morrison K, Schwartz SM, Verner MA, Palkovicova Murinova L, Drobná B, Kočan A, Fabišiková A, Čonka K, Trnovec T, Hertz-Picciotto I, Lawrence BP. 2016. A birth cohort study of maternal and infant serum PCB-153 and DDE concentrations and responses to infant tuberculosis vaccination. Environ Health Perspect 124:813-821; http://dx.doi.org/10.1289/ehp.1510101.
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Affiliation(s)
- Todd A. Jusko
- Department of Public Health Sciences, and
- Department of Environmental Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- Address correspondence to T.A. Jusko, Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, 265 Crittenden Blvd., Box CU420644, Rochester, NY 14642 USA. Telephone: (585) 273-2849. E-mail:
| | - Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA
| | - Sue Y. Lee
- Department of Environmental Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | | | - Stephen M. Schwartz
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Marc-André Verner
- Department of Occupational and Environmental Health, School of Public Health and Université de Montréal Public Health Research Institute (IRSPUM), Université de Montréal, Montreal, Quebec, Canada
| | | | - Beata Drobná
- Department of Toxic Organic Pollutants, Slovak Medical University, Bratislava, Slovak Republic
| | - Anton Kočan
- Research Centre for Toxic Compounds in the Environment, Masaryk University, Brno, Czech Republic
| | - Anna Fabišiková
- Department of Analytical Chemistry, University of Vienna, Vienna, Austria
| | - Kamil Čonka
- Department of Toxic Organic Pollutants, Slovak Medical University, Bratislava, Slovak Republic
| | | | - Irva Hertz-Picciotto
- Division of Environmental and Occupational Health, Department of Public Health Sciences, University of California, Davis, Davis, California, USA
| | - B. Paige Lawrence
- Department of Environmental Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
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Machiela MJ, Lan Q, Slager SL, Vermeulen RCH, Teras LR, Camp NJ, Cerhan JR, Spinelli JJ, Wang SS, Nieters A, Vijai J, Yeager M, Wang Z, Ghesquières H, McKay J, Conde L, de Bakker PIW, Cox DG, Burdett L, Monnereau A, Flowers CR, De Roos AJ, Brooks-Wilson AR, Giles GG, Melbye M, Gu J, Jackson RD, Kane E, Purdue MP, Vajdic CM, Albanes D, Kelly RS, Zucca M, Bertrand KA, Zeleniuch-Jacquotte A, Lawrence C, Hutchinson A, Zhi D, Habermann TM, Link BK, Novak AJ, Dogan A, Asmann YW, Liebow M, Thompson CA, Ansell SM, Witzig TE, Tilly H, Haioun C, Molina TJ, Hjalgrim H, Glimelius B, Adami HO, Roos G, Bracci PM, Riby J, Smith MT, Holly EA, Cozen W, Hartge P, Morton LM, Severson RK, Tinker LF, North KE, Becker N, Benavente Y, Boffetta P, Brennan P, Foretova L, Maynadie M, Staines A, Lightfoot T, Crouch S, Smith A, Roman E, Diver WR, Offit K, Zelenetz A, Klein RJ, Villano DJ, Zheng T, Zhang Y, Holford TR, Turner J, Southey MC, Clavel J, Virtamo J, Weinstein S, Riboli E, Vineis P, Kaaks R, Boeing H, Tjønneland A, Angelucci E, Di Lollo S, Rais M, De Vivo I, Giovannucci E, Kraft P, Huang J, Ma B, Ye Y, Chiu BCH, Liang L, Park JH, Chung CC, Weisenburger DD, Fraumeni JF, Salles G, Glenn M, Cannon-Albright L, Curtin K, Wu X, Smedby KE, de Sanjose S, Skibola CF, Berndt SI, Birmann BM, Chanock SJ, Rothman N. Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes. Hum Mol Genet 2016; 25:1663-76. [PMID: 27008888 PMCID: PMC4854019 DOI: 10.1093/hmg/ddw027] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [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] [Received: 09/16/2015] [Revised: 01/06/2016] [Accepted: 01/27/2016] [Indexed: 01/07/2023] Open
Abstract
Evidence from a small number of studies suggests that longer telomere length measured in peripheral leukocytes is associated with an increased risk of non-Hodgkin lymphoma (NHL). However, these studies may be biased by reverse causation, confounded by unmeasured environmental exposures and might miss time points for which prospective telomere measurement would best reveal a relationship between telomere length and NHL risk. We performed an analysis of genetically inferred telomere length and NHL risk in a study of 10 102 NHL cases of the four most common B-cell histologic types and 9562 controls using a genetic risk score (GRS) comprising nine telomere length-associated single-nucleotide polymorphisms. This approach uses existing genotype data and estimates telomere length by weighing the number of telomere length-associated variant alleles an individual carries with the published change in kb of telomere length. The analysis of the telomere length GRS resulted in an association between longer telomere length and increased NHL risk [four B-cell histologic types combined; odds ratio (OR) = 1.49, 95% CI 1.22-1.82,P-value = 8.5 × 10(-5)]. Subtype-specific analyses indicated that chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL) was the principal NHL subtype contributing to this association (OR = 2.60, 95% CI 1.93-3.51,P-value = 4.0 × 10(-10)). Significant interactions were observed across strata of sex for CLL/SLL and marginal zone lymphoma subtypes as well as age for the follicular lymphoma subtype. Our results indicate that a genetic background that favors longer telomere length may increase NHL risk, particularly risk of CLL/SLL, and are consistent with earlier studies relating longer telomere length with increased NHL risk.
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Affiliation(s)
- Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA,
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands, Julius Center for Health Sciences and Primary Care and
| | - Lauren R Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Nicola J Camp
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | | | - John J Spinelli
- Cancer Control Research and School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Sophia S Wang
- Division of Cancer Etiology, City of Hope Beckman Research Institute, Duarte, CA, USA
| | - Alexandra Nieters
- Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Baden-Württemberg, Germany
| | | | - Meredith Yeager
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MD, USA
| | - Zhaoming Wang
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MD, USA
| | - Hervé Ghesquières
- Department of Hematology and Laboratoire de Biologie Moléculaire de la Cellule UMR 5239, Centre National de la Recherche Scientifique, Pierre benite Cedex, France
| | - James McKay
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Lucia Conde
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center and Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Paul I W de Bakker
- Julius Center for Health Sciences and Primary Care and Department of Medical Genetics and of Epidemiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - David G Cox
- INSERM U1052, Cancer Research Center of Lyon, Centre Léon Bérard, Lyon, France
| | - Laurie Burdett
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MD, USA
| | - Alain Monnereau
- Epidemiology of Childhood and Adolescent Cancers Group, INSERM, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris, France, Université Paris Descartes, Paris, France, Registre des hémopathies malignes de la Gironde, Institut Bergonié, Bordeaux Cedex, France
| | | | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, PA, USA, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Angela R Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada, Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health and
| | - Mads Melbye
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Jian Gu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, OH, USA
| | - Eleanor Kane
- Department of Health Sciences, University of York, York, UK
| | | | - Claire M Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Rachel S Kelly
- Department of Epidemiology, MRC-PHE Centre for Environment and Health, School of Public Health and
| | | | - Kimberly A Bertrand
- Department of Epidemiology, Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA, Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY, USA
| | | | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MD, USA
| | - Degui Zhi
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Brian K Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | | | - Ahmet Dogan
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yan W Asmann
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | - Hervé Tilly
- Centre Heni Becquerel, Université de Rouen, Rouen, France
| | - Corinne Haioun
- Lymphoid Malignancies Unit, Henri Mondor Hospital and University Paris Est, Créteil, France
| | - Thierry J Molina
- Department of Pathology, AP-HP, Necker Enfants malades, Université Paris Descartes, Sorbonne Paris Cité, France
| | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Hans-Olov Adami
- Department of Epidemiology, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Göran Roos
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Jacques Riby
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center and Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Martyn T Smith
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Wendy Cozen
- Department of Preventive Medicine and Norris Comprehensive Cancer Center, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI, USA
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Kari E North
- Department of Epidemiology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Yolanda Benavente
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain, CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | | | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute and MF MU, Brno, Czech Republic
| | - Marc Maynadie
- EA 4184, Registre des Hémopathies Malignes de Côte d'Or, University of Burgundy and Dijon University Hospital, Dijon, France
| | - Anthony Staines
- School of Nursing and Human Sciences, Dublin City University, Dublin, Ireland
| | | | - Simon Crouch
- Department of Health Sciences, University of York, York, UK
| | - Alex Smith
- Department of Health Sciences, University of York, York, UK
| | - Eve Roman
- Department of Health Sciences, University of York, York, UK
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | | | | | - Robert J Klein
- Icahn Institute for Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | - Yawei Zhang
- Department of Environmental Health Sciences and
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Jenny Turner
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia, Department of Histopathology, Douglass Hanly Moir Pathology, Sydney, NSW, Australia
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Melbourne, VIC, Australia
| | - Jacqueline Clavel
- Epidemiology of Childhood and Adolescent Cancers Group, INSERM, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris, France, Université Paris Descartes, Paris, France
| | - Jarmo Virtamo
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London, UK
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, School of Public Health and Human Genetics Foundation, Turin, Italy
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute for Human Nutrition, Potsdam, Germany
| | | | - Emanuele Angelucci
- Hematology Unit, Ospedale Oncologico di Riferimento Regionale A. Businco, Cagliari, Italy
| | - Simonetta Di Lollo
- Department of Surgery and Translational Medicine, Section of Anatomo-Pathology, University of Florence, Florence, Italy
| | - Marco Rais
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Cagliari, Italy
| | - Immaculata De Vivo
- Department of Epidemiology, Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Edward Giovannucci
- Department of Epidemiology, Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA, Department of Nutrition and
| | - Peter Kraft
- Department of Epidemiology, Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | | | - Baoshan Ma
- Department of Epidemiology, College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning Province, China
| | - Yuanqing Ye
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Brian C H Chiu
- Department of Health Studies, University of Chicago, Chicago, IL, USA
| | - Liming Liang
- Department of Epidemiology, Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - Ju-Hyun Park
- Department of Statistics, Dongguk University, Seoul, Republic of Korea
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Gilles Salles
- Laboratoire de Biologie Moléculaire de la Cellule UMR 5239, Centre National de la Recherche Scientifique, Pierre benite Cedex, France, Department of Hematology, Hospices Civils de Lyon, Pierre benite Cedex, France, Department of Hematology, Université Lyon-1, Pierre benite Cedex, France and
| | - Martha Glenn
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Lisa Cannon-Albright
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Karen Curtin
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Xifeng Wu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Karin E Smedby
- Department of Medicine, Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Silvia de Sanjose
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain, CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Christine F Skibola
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center and Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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48
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‘t Mannetje A, De Roos AJ, Boffetta P, Vermeulen R, Benke G, Fritschi L, Brennan P, Foretova L, Maynadié M, Becker N, Nieters A, Staines A, Campagna M, Chiu B, Clavel J, de Sanjose S, Hartge P, Holly EA, Bracci P, Linet MS, Monnereau A, Orsi L, Purdue MP, Rothman N, Lan Q, Kane E, Costantini AS, Miligi L, Spinelli JJ, Zheng T, Cocco P, Kricker A. Occupation and Risk of Non-Hodgkin Lymphoma and Its Subtypes: A Pooled Analysis from the InterLymph Consortium. Environ Health Perspect 2016; 124:396-405. [PMID: 26340796 PMCID: PMC4829988 DOI: 10.1289/ehp.1409294] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2014] [Accepted: 09/02/2015] [Indexed: 05/27/2023]
Abstract
BACKGROUND Various occupations have been associated with an elevated risk of non-Hodgkin lymphoma (NHL), but results have been inconsistent across studies. OBJECTIVES We investigated occupational risk of NHL and of four common NHL subtypes with particular focus on occupations of a priori interest. METHODS We conducted a pooled analysis of 10,046 cases and 12,025 controls from 10 NHL studies participating in the InterLymph Consortium. We harmonized the occupational coding using the 1968 International Standard Classification of Occupations (ISCO-1968) and grouped occupations previously associated with NHL into 25 a priori groups. Odds ratios (ORs) adjusted for center, age, and sex were determined for NHL overall and for the following four subtypes: diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), and peripheral T-cell lymphoma (PTCL). RESULTS We confirmed previously reported positive associations between NHL and farming occupations [field crop/vegetable farm workers OR = 1.26; 95% confidence interval (CI): 1.05, 1.51; general farm workers OR = 1.19; 95% CI: 1.03, 1.37]; we also confirmed associations of NHL with specific occupations such as women's hairdressers (OR = 1.34; 95% CI: 1.02, 1.74), charworkers/cleaners (OR = 1.17; 95% CI: 1.01, 1.36), spray-painters (OR = 2.07; 95% CI: 1.30, 3.29), electrical wiremen (OR = 1.24; 95% CI: 1.00, 1.54), and carpenters (OR = 1.42; 95% CI: 1.04, 1.93). We observed subtype-specific associations for DLBCL and CLL/SLL in women's hairdressers and for DLBCL and PTCL in textile workers. CONCLUSIONS Our pooled analysis of 10 international studies adds to evidence suggesting that farming, hairdressing, and textile industry-related exposures may contribute to NHL risk. Associations with women's hairdresser and textile occupations may be specific for certain NHL subtypes. CITATION 't Mannetje A, De Roos AJ, Boffetta P, Vermeulen R, Benke G, Fritschi L, Brennan P, Foretova L, Maynadié M, Becker N, Nieters A, Staines A, Campagna M, Chiu B, Clavel J, de Sanjose S, Hartge P, Holly EA, Bracci P, Linet MS, Monnereau A, Orsi L, Purdue MP, Rothman N, Lan Q, Kane E, Seniori Costantini A, Miligi L, Spinelli JJ, Zheng T, Cocco P, Kricker A. 2016. Occupation and risk of non-Hodgkin lymphoma and its subtypes: a pooled analysis from the InterLymph Consortium. Environ Health Perspect 124:396-405; http://dx.doi.org/10.1289/ehp.1409294.
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Affiliation(s)
- Andrea ‘t Mannetje
- Centre for Public Health Research, Massey University, Wellington Campus, Wellington, New Zealand
| | - Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA
| | - Paolo Boffetta
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Geza Benke
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Lin Fritschi
- School of Public Health, Curtin University, Bentley, Western Australia, Australia
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Marc Maynadié
- Biological Hematology Unit, University of Burgundy, Dijon, France
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center Heidelberg, Heidelberg, Germany
| | - Alexandra Nieters
- Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Germany
| | - Anthony Staines
- School of Nursing and Human Sciences, Dublin City University, Dublin, Ireland
| | - Marcello Campagna
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - Brian Chiu
- Department of Public Health Sciences, University of Chicago, Chicago, USA
| | - Jacqueline Clavel
- Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Institut national de la santé et de la recherche médicale (INSERM), Villejuif, France
- French National Registry of Childhood Hematological Malignancies (NRCH), Villejuif, France
| | - Silvia de Sanjose
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology–Spain Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
- CIBER en Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Elizabeth A. Holly
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Paige Bracci
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Martha S. Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Bethesda, Maryland, USA
| | - Alain Monnereau
- Centre d’investigation clinique (CIC), INSERM, Bordeaux, France
- Registre des Hémopathies Malignes de la Gironde, Institut Bergonié, Bordeaux, France
| | - Laurent Orsi
- Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Institut national de la santé et de la recherche médicale (INSERM), Villejuif, France
| | - Mark P. Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Bethesda, Maryland, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Bethesda, Maryland, USA
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Bethesda, Maryland, USA
| | - Eleanor Kane
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdon
| | - Adele Seniori Costantini
- Environmental and Occupational Epidemiology Unit, ISPO Cancer Research and Prevention Institute, Florence, Italy
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Unit, ISPO Cancer Research and Prevention Institute, Florence, Italy
| | - John J. Spinelli
- Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada
| | - Tongzhang Zheng
- Department of Environmental Health Sciences, Yale University School of Public Health, New Haven, Connecticut, USA
| | - Pierluigi Cocco
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - Anne Kricker
- Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
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49
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Berndt SI, Camp NJ, Skibola CF, Vijai J, Wang Z, Gu J, Nieters A, Kelly RS, Smedby KE, Monnereau A, Cozen W, Cox A, Wang SS, Lan Q, Teras LR, Machado M, Yeager M, Brooks-Wilson AR, Hartge P, Purdue MP, Birmann BM, Vajdic CM, Cocco P, Zhang Y, Giles GG, Zeleniuch-Jacquotte A, Lawrence C, Montalvan R, Burdett L, Hutchinson A, Ye Y, Call TG, Shanafelt TD, Novak AJ, Kay NE, Liebow M, Cunningham JM, Allmer C, Hjalgrim H, Adami HO, Melbye M, Glimelius B, Chang ET, Glenn M, Curtin K, Cannon-Albright LA, Diver WR, Link BK, Weiner GJ, Conde L, Bracci PM, Riby J, Arnett DK, Zhi D, Leach JM, Holly EA, Jackson RD, Tinker LF, Benavente Y, Sala N, Casabonne D, Becker N, Boffetta P, Brennan P, Foretova L, Maynadie M, McKay J, Staines A, Chaffee KG, Achenbach SJ, Vachon CM, Goldin LR, Strom SS, Leis JF, Weinberg JB, Caporaso NE, Norman AD, De Roos AJ, Morton LM, Severson RK, Riboli E, Vineis P, Kaaks R, Masala G, Weiderpass E, Chirlaque MD, Vermeulen RCH, Travis RC, Southey MC, Milne RL, Albanes D, Virtamo J, Weinstein S, Clavel J, Zheng T, Holford TR, Villano DJ, Maria A, Spinelli JJ, Gascoyne RD, Connors JM, Bertrand KA, Giovannucci E, Kraft P, Kricker A, Turner J, Ennas MG, Ferri GM, Miligi L, Liang L, Ma B, Huang J, Crouch S, Park JH, Chatterjee N, North KE, Snowden JA, Wright J, Fraumeni JF, Offit K, Wu X, de Sanjose S, Cerhan JR, Chanock SJ, Rothman N, Slager SL. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia. Nat Commun 2016; 7:10933. [PMID: 26956414 PMCID: PMC4786871 DOI: 10.1038/ncomms10933] [Citation(s) in RCA: 88] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Accepted: 02/03/2016] [Indexed: 01/07/2023] Open
Abstract
Chronic lymphocytic leukemia (CLL) is a common lymphoid malignancy with strong heritability. To further understand the genetic susceptibility for CLL and identify common loci associated with risk, we conducted a meta-analysis of four genome-wide association studies (GWAS) composed of 3,100 cases and 7,667 controls with follow-up replication in 1,958 cases and 5,530 controls. Here we report three new loci at 3p24.1 (rs9880772, EOMES, P=2.55 × 10(-11)), 6p25.2 (rs73718779, SERPINB6, P=1.97 × 10(-8)) and 3q28 (rs9815073, LPP, P=3.62 × 10(-8)), as well as a new independent SNP at the known 2q13 locus (rs9308731, BCL2L11, P=1.00 × 10(-11)) in the combined analysis. We find suggestive evidence (P<5 × 10(-7)) for two additional new loci at 4q24 (rs10028805, BANK1, P=7.19 × 10(-8)) and 3p22.2 (rs1274963, CSRNP1, P=2.12 × 10(-7)). Pathway analyses of new and known CLL loci consistently show a strong role for apoptosis, providing further evidence for the importance of this biological pathway in CLL susceptibility.
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Affiliation(s)
- Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Nicola J. Camp
- Division of Hematology and Hematologic Malignancies, Department of Internal Medicine, Huntsman Cancer Institute and University of Utah School of Medicine, Salt Lake City, Utah 84112, USA
| | - Christine F. Skibola
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California 94720, USA
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Zhaoming Wang
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA
| | - Jian Gu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Alexandra Nieters
- Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, 79108 Baden-Württemberg, Germany
| | - Rachel S. Kelly
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Karin E. Smedby
- Department of Medicine, Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm 17176, Sweden
| | - Alain Monnereau
- Epidemiology of Childhood and Adolescent Cancers Group, INSERM, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), F-94807 Paris, France
- Université Paris Descartes, 75270 Paris, France
- Registre des hémopathies malignes de la Gironde, Institut Bergonié, 33076 Bordeaux Cedex, France
| | - Wendy Cozen
- Department of Preventive Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, California 90033, USA
- Norris Comprehensive Cancer Center, USC Keck School of Medicine, University of Southern California, Los Angeles, California 90033, USA
| | - Angela Cox
- Department of Oncology, University of Sheffield, Sheffield, South Yorkshire S10 1NS, UK
| | - Sophia S. Wang
- Division of Cancer Etiology, City of Hope Beckman Research Institute, Duarte, California 91030, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Lauren R. Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Moara Machado
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
- Departamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA
| | - Angela R. Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada V5Z1L3
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada V5A1S6
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | | | - Brenda M. Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Claire M. Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Pierluigi Cocco
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, 09042 Cagliari, Italy
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut 06520, USA
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, 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
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, New York 10016, USA
| | | | | | - Laurie Burdett
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA
| | - Yuanqing Ye
- Department of Epidemiology, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Timothy G. Call
- Division of Hematology, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Tait D. Shanafelt
- Department of Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Anne J. Novak
- Department of Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Neil E. Kay
- Division of Hematology, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Mark Liebow
- Department of Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Julie M. Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Cristine Allmer
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, 2300 Copenhagen, Denmark
| | - Hans-Olov Adami
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Mads Melbye
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, 2300 Copenhagen, Denmark
- Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, 75105 Uppsala, Sweden
| | - Ellen T. Chang
- Center for Epidemiology and Computational Biology, Health Sciences, Exponent, Inc., Menlo Park, California 94025, USA
- Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Martha Glenn
- Department of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, Utah 84112, USA
| | - Karen Curtin
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah 84108, USA
| | - Lisa A. Cannon-Albright
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah 84108, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah 84148, USA
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Brian K. Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa 52242, USA
| | - George J. Weiner
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa 52242, USA
| | - Lucia Conde
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California 94720, USA
| | - Paige M. Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94118, USA
| | - Jacques Riby
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California 94720, USA
| | - Donna K. Arnett
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
| | - Degui Zhi
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
| | - Justin M. Leach
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
| | - Elizabeth A. Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94118, USA
| | - Rebecca D. Jackson
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, Ohio 43210, USA
| | - Lesley F. Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98117, USA
| | - Yolanda Benavente
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona 08908, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), 08036 Barcelona, Spain
| | - Núria Sala
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain
- Translational Research Laboratory, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain
| | - Delphine Casabonne
- Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, 08908L'Hospitalet de Llobregat, 08908 Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 69120 Baden-Württemberg, Germany
| | - Paolo Boffetta
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), 69372 Lyon, France
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute and MF MU, 656 53 Brno, Czech Republic
| | - Marc Maynadie
- EA 4184, Registre des Hémopathies Malignes de Côte d'Or, University of Burgundy and Dijon University Hospital, 21070 Dijon, France
| | - James McKay
- International Agency for Research on Cancer (IARC), 69372 Lyon, France
| | - Anthony Staines
- School of Nursing and Human Sciences, Dublin City University, Dublin 9, Ireland
| | - Kari G. Chaffee
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Sara J. Achenbach
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Celine M. Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Lynn R. Goldin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Sara S. Strom
- Department of Epidemiology, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Jose F. Leis
- Division of Hematology/Oncology, Mayo Clinic, Phoenix, Arizona 85054, USA
| | - J. Brice Weinberg
- Department of Medicine, Duke University and VA Medical Centers, Durham, North Carolina 27710, USA
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Aaron D. Norman
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Anneclaire J. De Roos
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98117, USA
- Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, Pennsylvania 19104, USA
| | - Lindsay M. Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Richard K. Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan 48201, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London W2 1PG, UK
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
- Human Genetics Foundation, 10126 Turin, Italy
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 69120 Baden-Württemberg, Germany
| | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), 50139 Florence, Italy
| | - Elisabete Weiderpass
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, N-9037 Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, N-0304 Oslo, Norway
- Genetic Epidemiology Group, Folkhälsan Research Center, FI-00250 Helsinki, Finland
| | - María- Dolores Chirlaque
- CIBER de Epidemiología y Salud Pública (CIBERESP), 08036 Barcelona, Spain
- Department of Epidemiology, Murcia Regional Health Authority, E30008 Murcia, Spain
| | - Roel C. H. Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, 3508, TD, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Ruth C. Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford OX3 7LF, UK
| | - Melissa C. Southey
- Genetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Roger L. Milne
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Jarmo Virtamo
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Jacqueline Clavel
- Epidemiology of Childhood and Adolescent Cancers Group, INSERM, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), F-94807 Paris, France
- Université Paris Descartes, 75270 Paris, France
| | - Tongzhang Zheng
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut 06520, USA
| | - Theodore R. Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut 06520, USA
| | - Danylo J. Villano
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Ann Maria
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - John J. Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia, Canada V5Z1L3
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada V6T1Z3
| | - Randy D. Gascoyne
- Center for Lymphoid Cancer, BC Cancer Agency, Vancouver, British Columbia, Canada V5Z1L3
- Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada V6T1Z3
| | - Joseph M. Connors
- Center for Lymphoid Cancer, BC Cancer Agency, Vancouver, British Columbia, Canada V5Z1L3
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada V6T1Z3
| | - Kimberly A. Bertrand
- Department of Epidemiology, 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
| | - Edward Giovannucci
- Department of Epidemiology, 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
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Anne Kricker
- Sydney School of Public Health, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Jenny Turner
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales 2109, Australia
- Department of Histopathology, Douglass Hanly Moir Pathology, Sydney, New South Wales 2113, Australia
| | - Maria Grazia Ennas
- Department of Biomedical Science, University of Cagliari, Monserrato, 09042 Cagliari, Italy
| | - Giovanni M. Ferri
- Interdisciplinary Department of Medicine, University of Bari, 70124 Bari, Italy
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Unit, Cancer Prevention and Research Institute (ISPO), 50139 Florence, Italy
| | - Liming Liang
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Baoshan Ma
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning Province 116026, China
| | - Jinyan Huang
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Simon Crouch
- Department of Health Sciences, University of York, York YO10 5DD, UK
| | - Ju-Hyun Park
- Department of Statistics, Dongguk University, Seoul 100-715, Republic of Korea
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Kari E. North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - John A. Snowden
- Department of Oncology, University of Sheffield, Sheffield, South Yorkshire S10 1NS, UK
- Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield, South Yorkshire S10 2TN, UK
| | - Josh Wright
- Department of Oncology, University of Sheffield, Sheffield, South Yorkshire S10 1NS, UK
- Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield, South Yorkshire S10 2TN, UK
| | - Joseph F. Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Xifeng Wu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Silvia de Sanjose
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona 08908, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), 08036 Barcelona, Spain
| | - James R. Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Susan L. Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
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Portier CJ, Armstrong BK, Baguley BC, Baur X, Belyaev I, Bellé R, Belpoggi F, Biggeri A, Bosland MC, Bruzzi P, Budnik LT, Bugge MD, Burns K, Calaf GM, Carpenter DO, Carpenter HM, López-Carrillo L, Clapp R, Cocco P, Consonni D, Comba P, Craft E, Dalvie MA, Davis D, Demers PA, De Roos AJ, DeWitt J, Forastiere F, Freedman JH, Fritschi L, Gaus C, Gohlke JM, Goldberg M, Greiser E, Hansen J, Hardell L, Hauptmann M, Huang W, Huff J, James MO, Jameson CW, Kortenkamp A, Kopp-Schneider A, Kromhout H, Larramendy ML, Landrigan PJ, Lash LH, Leszczynski D, Lynch CF, Magnani C, Mandrioli D, Martin FL, Merler E, Michelozzi P, Miligi L, Miller AB, Mirabelli D, Mirer FE, Naidoo S, Perry MJ, Petronio MG, Pirastu R, Portier RJ, Ramos KS, Robertson LW, Rodriguez T, Röösli M, Ross MK, Roy D, Rusyn I, Saldiva P, Sass J, Savolainen K, Scheepers PTJ, Sergi C, Silbergeld EK, Smith MT, Stewart BW, Sutton P, Tateo F, Terracini B, Thielmann HW, Thomas DB, Vainio H, Vena JE, Vineis P, Weiderpass E, Weisenburger DD, Woodruff TJ, Yorifuji T, Yu IJ, Zambon P, Zeeb H, Zhou SF. Differences in the carcinogenic evaluation of glyphosate between the International Agency for Research on Cancer (IARC) and the European Food Safety Authority (EFSA). J Epidemiol Community Health 2016. [PMID: 26941213 DOI: 10.1136/jech-2015-207005.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
| | | | | | - Xaver Baur
- Charité University Medicine Berlin, Berlin, Germany
| | - Igor Belyaev
- Cancer Research Institute, Bratislava, Slovak Republic
| | - Robert Bellé
- Sorbonne Universités, UPMC Univ Paris 06, UMR8227, Roscoff, France
| | | | - Annibale Biggeri
- Institute for Cancer Prevention and Research, University of Florence, Italy
| | | | - Paolo Bruzzi
- National Cancer Research Institute, San Martino-IST Hospital, Genoa, Italy
| | | | - Merete D Bugge
- STAMI, National Institute of Occupational Health, Oslo, Norway
| | | | - Gloria M Calaf
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile
| | - David O Carpenter
- Institute for Health and the Environment, University at Albany, Rensselaer, New York, USA
| | | | | | - Richard Clapp
- Boston University School of Public Health, Boston, Massachusetts, USA
| | - Pierluigi Cocco
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - Dario Consonni
- Department of Preventive Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Pietro Comba
- Department of Environment and Primary Prevention, IstitutoSuperiore di Sanità, Rome, Italy
| | - Elena Craft
- Environmental Defense Fund, Austin, Texas, USA
| | - Mohamed Aqiel Dalvie
- Center for Environmental and Occupational Health, University of Cape Town, Cape Town, South Africa
| | - Devra Davis
- Environmental Health Trust, Jackson Hole, Wyoming, USA and The Hebrew University Hadassah School of Medicine, Jerusalem, Israel
| | - Paul A Demers
- Dalla Lana School of Public Health, University of Toronto, Canada
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Jamie DeWitt
- Brody School of Medicine, East Carolina University, Greenville, North Carolina, USA
| | | | | | - Lin Fritschi
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Caroline Gaus
- Department of Environmental Toxicology, The University of Queensland, Brisbane, Australia
| | - Julia M Gohlke
- Department of Population Health Sciences, Virginia Tech, Blacksburg, Virginia, USA
| | | | | | - Johnni Hansen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Michael Hauptmann
- Biostatistics Branch, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Wei Huang
- Faculty of Department of Occupational and Environmental Health, Peking Univ School of Public Health, Beijing, China
| | - James Huff
- National Institute for Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | | | - C W Jameson
- CWJ Consulting, LLC, Cape Coral, Florida, USA
| | - Andreas Kortenkamp
- Institute of Environment, Health and Societies, Brunel University London, London, UK
| | | | - Hans Kromhout
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Marcelo L Larramendy
- National Council of Scientific and Technological Research, National University of La Plata, Argentina
| | - Philip J Landrigan
- Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Lawrence H Lash
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | | | - Charles F Lynch
- Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA
| | - Corrado Magnani
- Cancer Epidemiology Unit, University of Eastern Piedmont, Novara, Italy
| | | | | | - Enzo Merler
- Department of Prevention, Occupational Health Unit, National Health Service, Padua, Italy
| | | | - Lucia Miligi
- Occupational and Environmental Epidemiology Unit, ISPO-Cancer Prevention and Research Institute, Florence, Italy
| | - Anthony B Miller
- Dalla Lana School of Public Health, University of Toronto, Canada
| | - Dario Mirabelli
- Unit of Cancer Epidemiology, University of Turin and CPO-Piemonte, Torino, Italy
| | - Franklin E Mirer
- Department of Environmental and Occupational Health Sciences, City University of New York School of Public Health, USA
| | - Saloshni Naidoo
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Melissa J Perry
- Department of Environmental and Occupational Health, Milken Institute School of Public Health, The George Washington University, Washington DC, USA
| | - Maria Grazia Petronio
- Health and Environment-Department of Prevention, Local Health Authority-Empoli, Florence, Italy
| | - Roberta Pirastu
- Department of Biology and Biotechnology "Charles Darwin", Sapienza Rome University, Italy
| | - Ralph J Portier
- Department of Environmental Sciences, School of the Coast & Environment, Louisiana State University, Baton Rouge, Los Angeles, USA
| | - Kenneth S Ramos
- Center for Applied Genetics and Genomic Medicine, University of Arizona Health Sciences, Tucson, Arizona, USA
| | - Larry W Robertson
- Iowa Superfund Research Program and the Interdisciplinary Graduate Program in Human Toxicology, University of Iowa, Iowa City, Iowa, USA
| | - Theresa Rodriguez
- Center for Research in Health, Work and Environment (CISTA), National Autonomous University of Nicaragua (UNAN-León), León, Nicaragua
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Associated Institute of the University of Basel, Basel, Switzerland
| | - Matt K Ross
- College of Veterinary Medicine, Mississippi State University, Mississippi State, USA
| | - Deodutta Roy
- Department of Environmental and Occupational Health, Florida International University, Miami, Florida, USA
| | - Ivan Rusyn
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, USA
| | - Paulo Saldiva
- Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Jennifer Sass
- Natural Resources Defense Council and George Washington University, Washington DC, USA
| | - Kai Savolainen
- Nanosafety Research Centre, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Paul T J Scheepers
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Consolato Sergi
- Department of Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Ellen K Silbergeld
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Martyn T Smith
- School of Public Health, University of California, Berkeley, California, USA
| | - Bernard W Stewart
- Faculty of Medicine, University of New South Wales, Randwick, New South Wales Australia
| | - Patrice Sutton
- Program on Reproductive Health and the Environment, University of California, San Francisco, California, USA
| | - Fabio Tateo
- Istituto di Geosceinze e Georisorse (CNR), Padova, Italy
| | | | - Heinz W Thielmann
- German Cancer Research Center, Heidelberg and Faculty of Pharmacy, Heidelberg University, Germany
| | - David B Thomas
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, Washington, USA
| | - Harri Vainio
- Faculty of Public Health, Kuwait University, Kuwait City, Kuwait
| | - John E Vena
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Paolo Vineis
- Department of Environmental Epidemiology, Imperial College London, London, UK
| | - Elisabete Weiderpass
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway; Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; and Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | | | - Tracey J Woodruff
- Program on Reproductive Health and the Environment, University of California, San Francisco, USA
| | | | - Il Je Yu
- Institute of Nanoproduct Safety Research, Hoseo University, Asan, The Republic of Korea
| | | | - Hajo Zeeb
- Department of Prevention and Evaluation, Leibniz-Institute for Prevention Research and Epidemiology, Bremen, Germany
| | - Shu-Feng Zhou
- College of Pharmacy, University of South Florida, Tampa, Florida, USA
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