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Baris D, Waddell R, Beane Freeman LE, Schwenn M, Colt JS, Ayotte JD, Ward MH, Nuckols J, Schned A, Jackson B, Clerkin C, Rothman N, Moore LE, Taylor A, Robinson G, Hosain GM, Armenti KR, McCoy R, Samanic C, Hoover RN, Fraumeni JF, Johnson A, Karagas MR, Silverman DT. Elevated Bladder Cancer in Northern New England: The Role of Drinking Water and Arsenic. J Natl Cancer Inst 2016; 108:djw099. [PMID: 27140955 PMCID: PMC5939854 DOI: 10.1093/jnci/djw099] [Citation(s) in RCA: 81] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Revised: 12/01/2015] [Accepted: 02/24/2016] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Bladder cancer mortality rates have been elevated in northern New England for at least five decades. Incidence rates in Maine, New Hampshire, and Vermont are about 20% higher than the United States overall. We explored reasons for this excess, focusing on arsenic in drinking water from private wells, which are particularly prevalent in the region. METHODS In a population-based case-control study in these three states, 1213 bladder cancer case patients and 1418 control subjects provided information on suspected risk factors. Log transformed arsenic concentrations were estimated by linear regression based on measurements in water samples from current and past homes. All statistical tests were two-sided. RESULTS Bladder cancer risk increased with increasing water intake (Ptrend = .003). This trend was statistically significant among participants with a history of private well use (Ptrend = .01). Among private well users, this trend was apparent if well water was derived exclusively from shallow dug wells (which are vulnerable to contamination from manmade sources, Ptrend = .002) but not if well water was supplied only by deeper drilled wells (Ptrend = .48). If dug wells were used pre-1960, when arsenical pesticides were widely used in the region, heavier water consumers (>2.2 L/day) had double the risk of light users (<1.1 L/day, Ptrend = .01). Among all participants, cumulative arsenic exposure from all water sources, lagged 40 years, yielded a positive risk gradient (Ptrend = .004); among the highest-exposed participants (97.5th percentile), risk was twice that of the lowest-exposure quartile (odds ratio = 2.24, 95% confidence interval = 1.29 to 3.89). CONCLUSIONS Our findings support an association between low-to-moderate levels of arsenic in drinking water and bladder cancer risk in New England. In addition, historical consumption of water from private wells, particularly dug wells in an era when arsenical pesticides were widely used, was associated with increased bladder cancer risk and may have contributed to the New England excess.
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Affiliation(s)
- Dalsu Baris
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ).
| | - Richard Waddell
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Molly Schwenn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Joanne S Colt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Joseph D Ayotte
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Mary H Ward
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - John Nuckols
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Alan Schned
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Brian Jackson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Castine Clerkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Lee E Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Anne Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Gilpin Robinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Gm Monawar Hosain
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Karla R Armenti
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Richard McCoy
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Claudine Samanic
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Alison Johnson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Margaret R Karagas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ).
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Baris D, Waddell R, Beane Freeman LE, Schwenn M, Colt JS, Ayotte JD, Ward MH, Nuckols J, Schned A, Jackson B, Clerkin C, Rothman N, Moore LE, Taylor A, Robinson G, Hosain GM, Armenti KR, McCoy R, Samanic C, Hoover RN, Fraumeni JF, Johnson A, Karagas MR, Silverman DT. Elevated Bladder Cancer in Northern New England: The Role of Drinking Water and Arsenic. J Natl Cancer Inst 2016. [PMID: 27140955 DOI: 10.1093/jnci/djw09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
BACKGROUND Bladder cancer mortality rates have been elevated in northern New England for at least five decades. Incidence rates in Maine, New Hampshire, and Vermont are about 20% higher than the United States overall. We explored reasons for this excess, focusing on arsenic in drinking water from private wells, which are particularly prevalent in the region. METHODS In a population-based case-control study in these three states, 1213 bladder cancer case patients and 1418 control subjects provided information on suspected risk factors. Log transformed arsenic concentrations were estimated by linear regression based on measurements in water samples from current and past homes. All statistical tests were two-sided. RESULTS Bladder cancer risk increased with increasing water intake (Ptrend = .003). This trend was statistically significant among participants with a history of private well use (Ptrend = .01). Among private well users, this trend was apparent if well water was derived exclusively from shallow dug wells (which are vulnerable to contamination from manmade sources, Ptrend = .002) but not if well water was supplied only by deeper drilled wells (Ptrend = .48). If dug wells were used pre-1960, when arsenical pesticides were widely used in the region, heavier water consumers (>2.2 L/day) had double the risk of light users (<1.1 L/day, Ptrend = .01). Among all participants, cumulative arsenic exposure from all water sources, lagged 40 years, yielded a positive risk gradient (Ptrend = .004); among the highest-exposed participants (97.5th percentile), risk was twice that of the lowest-exposure quartile (odds ratio = 2.24, 95% confidence interval = 1.29 to 3.89). CONCLUSIONS Our findings support an association between low-to-moderate levels of arsenic in drinking water and bladder cancer risk in New England. In addition, historical consumption of water from private wells, particularly dug wells in an era when arsenical pesticides were widely used, was associated with increased bladder cancer risk and may have contributed to the New England excess.
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Affiliation(s)
- Dalsu Baris
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ).
| | - Richard Waddell
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Molly Schwenn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Joanne S Colt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Joseph D Ayotte
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Mary H Ward
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - John Nuckols
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Alan Schned
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Brian Jackson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Castine Clerkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Lee E Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Anne Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Gilpin Robinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Gm Monawar Hosain
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Karla R Armenti
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Richard McCoy
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Claudine Samanic
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Alison Johnson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Margaret R Karagas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ).
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3
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Russ DE, Ho KY, Colt JS, Armenti KR, Baris D, Chow WH, Davis F, Johnson A, Purdue MP, Karagas MR, Schwartz K, Schwenn M, Silverman DT, Johnson CA, Friesen MC. Computer-based coding of free-text job descriptions to efficiently identify occupations in epidemiological studies. Occup Environ Med 2016. [PMID: 27102331 DOI: 10.1136/oemed‐2015‐103152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND Mapping job titles to standardised occupation classification (SOC) codes is an important step in identifying occupational risk factors in epidemiological studies. Because manual coding is time-consuming and has moderate reliability, we developed an algorithm called SOCcer (Standardized Occupation Coding for Computer-assisted Epidemiologic Research) to assign SOC-2010 codes based on free-text job description components. METHODS Job title and task-based classifiers were developed by comparing job descriptions to multiple sources linking job and task descriptions to SOC codes. An industry-based classifier was developed based on the SOC prevalence within an industry. These classifiers were used in a logistic model trained using 14 983 jobs with expert-assigned SOC codes to obtain empirical weights for an algorithm that scored each SOC/job description. We assigned the highest scoring SOC code to each job. SOCcer was validated in 2 occupational data sources by comparing SOC codes obtained from SOCcer to expert assigned SOC codes and lead exposure estimates obtained by linking SOC codes to a job-exposure matrix. RESULTS For 11 991 case-control study jobs, SOCcer-assigned codes agreed with 44.5% and 76.3% of manually assigned codes at the 6-digit and 2-digit level, respectively. Agreement increased with the score, providing a mechanism to identify assignments needing review. Good agreement was observed between lead estimates based on SOCcer and manual SOC assignments (κ 0.6-0.8). Poorer performance was observed for inspection job descriptions, which included abbreviations and worksite-specific terminology. CONCLUSIONS Although some manual coding will remain necessary, using SOCcer may improve the efficiency of incorporating occupation into large-scale epidemiological studies.
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Affiliation(s)
- Daniel E Russ
- Division of Computational Bioscience, Center for Information Technology, NIH, Bethesda, Maryland, USA
| | - Kwan-Yuet Ho
- Division of Computational Bioscience, Center for Information Technology, NIH, Bethesda, Maryland, USA
| | - Joanne S Colt
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Karla R Armenti
- Division of Public Health Services, New Hampshire Department of Health and Human Services, Bureau of Public Health Statistics and Informatics, Concord, New Hampshire, USA
| | - Dalsu Baris
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Wong-Ho Chow
- University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Faith Davis
- Department of Public Health Sciences, University of Alberta, Edmonton, Alberta, Canada
| | | | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | | | - Kendra Schwartz
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan, USA
| | | | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Calvin A Johnson
- Division of Computational Bioscience, Center for Information Technology, NIH, Bethesda, Maryland, USA
| | - Melissa C Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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4
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Russ DE, Ho KY, Colt JS, Armenti KR, Baris D, Chow WH, Davis F, Johnson A, Purdue MP, Karagas MR, Schwartz K, Schwenn M, Silverman DT, Johnson CA, Friesen MC. Computer-based coding of free-text job descriptions to efficiently identify occupations in epidemiological studies. Occup Environ Med 2016; 73:417-24. [PMID: 27102331 DOI: 10.1136/oemed-2015-103152] [Citation(s) in RCA: 27] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 03/07/2016] [Indexed: 11/03/2022]
Abstract
BACKGROUND Mapping job titles to standardised occupation classification (SOC) codes is an important step in identifying occupational risk factors in epidemiological studies. Because manual coding is time-consuming and has moderate reliability, we developed an algorithm called SOCcer (Standardized Occupation Coding for Computer-assisted Epidemiologic Research) to assign SOC-2010 codes based on free-text job description components. METHODS Job title and task-based classifiers were developed by comparing job descriptions to multiple sources linking job and task descriptions to SOC codes. An industry-based classifier was developed based on the SOC prevalence within an industry. These classifiers were used in a logistic model trained using 14 983 jobs with expert-assigned SOC codes to obtain empirical weights for an algorithm that scored each SOC/job description. We assigned the highest scoring SOC code to each job. SOCcer was validated in 2 occupational data sources by comparing SOC codes obtained from SOCcer to expert assigned SOC codes and lead exposure estimates obtained by linking SOC codes to a job-exposure matrix. RESULTS For 11 991 case-control study jobs, SOCcer-assigned codes agreed with 44.5% and 76.3% of manually assigned codes at the 6-digit and 2-digit level, respectively. Agreement increased with the score, providing a mechanism to identify assignments needing review. Good agreement was observed between lead estimates based on SOCcer and manual SOC assignments (κ 0.6-0.8). Poorer performance was observed for inspection job descriptions, which included abbreviations and worksite-specific terminology. CONCLUSIONS Although some manual coding will remain necessary, using SOCcer may improve the efficiency of incorporating occupation into large-scale epidemiological studies.
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Affiliation(s)
- Daniel E Russ
- Division of Computational Bioscience, Center for Information Technology, NIH, Bethesda, Maryland, USA
| | - Kwan-Yuet Ho
- Division of Computational Bioscience, Center for Information Technology, NIH, Bethesda, Maryland, USA
| | - Joanne S Colt
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Karla R Armenti
- Division of Public Health Services, New Hampshire Department of Health and Human Services, Bureau of Public Health Statistics and Informatics, Concord, New Hampshire, USA
| | - Dalsu Baris
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Wong-Ho Chow
- University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Faith Davis
- Department of Public Health Sciences, University of Alberta, Edmonton, Alberta, Canada
| | | | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | | | - Kendra Schwartz
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan, USA
| | | | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Calvin A Johnson
- Division of Computational Bioscience, Center for Information Technology, NIH, Bethesda, Maryland, USA
| | - Melissa C Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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5
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Friesen MC, Wheeler DC, Vermeulen R, Locke SJ, Zaebst DD, Koutros S, Pronk A, Colt JS, Baris D, Karagas MR, Malats N, Schwenn M, Johnson A, Armenti KR, Rothman N, Stewart PA, Kogevinas M, Silverman DT. Combining Decision Rules from Classification Tree Models and Expert Assessment to Estimate Occupational Exposure to Diesel Exhaust for a Case-Control Study. Ann Occup Hyg 2016; 60:467-78. [PMID: 26732820 DOI: 10.1093/annhyg/mev095] [Citation(s) in RCA: 10] [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] [Subscribe] [Scholar Register] [Received: 07/08/2015] [Accepted: 12/10/2015] [Indexed: 12/30/2022]
Abstract
OBJECTIVES To efficiently and reproducibly assess occupational diesel exhaust exposure in a Spanish case-control study, we examined the utility of applying decision rules that had been extracted from expert estimates and questionnaire response patterns using classification tree (CT) models from a similar US study. METHODS First, previously extracted CT decision rules were used to obtain initial ordinal (0-3) estimates of the probability, intensity, and frequency of occupational exposure to diesel exhaust for the 10 182 jobs reported in a Spanish case-control study of bladder cancer. Second, two experts reviewed the CT estimates for 350 jobs randomly selected from strata based on each CT rule's agreement with the expert ratings in the original study [agreement rate, from 0 (no agreement) to 1 (perfect agreement)]. Their agreement with each other and with the CT estimates was calculated using weighted kappa (κ w) and guided our choice of jobs for subsequent expert review. Third, an expert review comprised all jobs with lower confidence (low-to-moderate agreement rates or discordant assignments, n = 931) and a subset of jobs with a moderate to high CT probability rating and with moderately high agreement rates (n = 511). Logistic regression was used to examine the likelihood that an expert provided a different estimate than the CT estimate based on the CT rule agreement rates, the CT ordinal rating, and the availability of a module with diesel-related questions. RESULTS Agreement between estimates made by two experts and between estimates made by each of the experts and the CT estimates was very high for jobs with estimates that were determined by rules with high CT agreement rates (κ w: 0.81-0.90). For jobs with estimates based on rules with lower agreement rates, moderate agreement was observed between the two experts (κ w: 0.42-0.67) and poor-to-moderate agreement was observed between the experts and the CT estimates (κ w: 0.09-0.57). In total, the expert review of 1442 jobs changed 156 probability estimates, 128 intensity estimates, and 614 frequency estimates. The expert was more likely to provide a different estimate when the CT rule agreement rate was <0.8, when the CT ordinal ratings were low to moderate, or when a module with diesel questions was available. CONCLUSIONS Our reliability assessment provided important insight into where to prioritize additional expert review; as a result, only 14% of the jobs underwent expert review, substantially reducing the exposure assessment burden. Overall, we found that we could efficiently, reproducibly, and reliably apply CT decision rules from one study to assess exposure in another study.
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Affiliation(s)
- Melissa C Friesen
- 1.Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 208952, USA;
| | - David C Wheeler
- 2.Department of Biostatistics, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Roel Vermeulen
- 3.Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Sarah J Locke
- 1.Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 208952, USA
| | | | - Stella Koutros
- 1.Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 208952, USA
| | | | - Joanne S Colt
- 1.Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 208952, USA
| | - Dalsu Baris
- 1.Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 208952, USA
| | | | - Nuria Malats
- 7.Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), 28029 Madrid, Spain
| | - Molly Schwenn
- 8.Maine Cancer Registry, Augusta, ME 04333-0011, USA
| | - Alison Johnson
- 9.Vermont Cancer Registry, Burlington, VT 05402-0070, USA
| | - Karla R Armenti
- 10.New Hampshire Department of Health and Human Services, Division of Public Health Services, Bureau of Public Health Statistics and Informatics, Concord, NH 03301, USA
| | - Nathanial Rothman
- 1.Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 208952, USA
| | | | - Manolis Kogevinas
- 12.Centre for Research in Environmental Epidemiology (CREAL), 08003 Barcelona, Spain; 13.CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Barcelona, Spain; 14.IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain
| | - Debra T Silverman
- 1.Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 208952, USA
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6
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Figueroa JD, Koutros S, Colt JS, Kogevinas M, Garcia-Closas M, Real FX, Friesen MC, Baris D, Stewart P, Schwenn M, Johnson A, Karagas MR, Armenti KR, Moore LE, Schned A, Lenz P, Prokunina-Olsson L, Banday AR, Paquin A, Ylaya K, Chung JY, Hewitt SM, Nickerson ML, Tardón A, Serra C, Carrato A, García-Closas R, Lloreta J, Malats N, Fraumeni JF, Chanock SJ, Chatterjee N, Rothman N, Silverman DT. Modification of Occupational Exposures on Bladder Cancer Risk by Common Genetic Polymorphisms. J Natl Cancer Inst 2015; 107:djv223. [PMID: 26374428 DOI: 10.1093/jnci/djv223] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2014] [Accepted: 07/16/2015] [Indexed: 12/15/2022] Open
Abstract
Few studies have demonstrated gene/environment interactions in cancer research. Using data on high-risk occupations for 2258 case patients and 2410 control patients from two bladder cancer studies, we observed that three of 16 known or candidate bladder cancer susceptibility variants displayed statistically significant and consistent evidence of additive interactions; specifically, the GSTM1 deletion polymorphism (P interaction ≤ .001), rs11892031 (UGT1A, P interaction = .01), and rs798766 (TMEM129-TACC3-FGFR3, P interaction = .03). There was limited evidence for multiplicative interactions. When we examined detailed data on a prevalent occupational exposure associated with increased bladder cancer risk, straight metalworking fluids, we also observed statistically significant additive interaction for rs798766 (TMEM129-TACC3-FGFR3, P interaction = .02), with the interaction more apparent in patients with tumors positive for FGFR3 expression. All statistical tests were two-sided. The interaction we observed for rs798766 (TMEM129-TACC3-FGFR3) with specific exposure to straight metalworking fluids illustrates the value of integrating germline genetic variation, environmental exposures, and tumor marker data to provide insight into the mechanisms of bladder carcinogenesis.
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Affiliation(s)
- Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Joanne S Colt
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Manolis Kogevinas
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Francisco X Real
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Melissa C Friesen
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Dalsu Baris
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Patricia Stewart
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Molly Schwenn
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Alison Johnson
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Margaret R Karagas
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Karla R Armenti
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Lee E Moore
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Alan Schned
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Petra Lenz
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Ludmila Prokunina-Olsson
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - A Rouf Banday
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Ashley Paquin
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Kris Ylaya
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Joon-Yong Chung
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Stephen M Hewitt
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Michael L Nickerson
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Adonina Tardón
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Consol Serra
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Alfredo Carrato
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Reina García-Closas
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Josep Lloreta
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Núria Malats
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics (JDF, SK, JSC, MGC, MCF, DB, PS, LEM, LPO, ARB, AP, JFFJr, SJC, NC, NR, DTS), Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research (KY, JYC, SMH), and Cancer and Inflammation Program (MLN), National Cancer Institute, Bethesda, MD; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh UK (JDF); CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain (MK, AT, JL); Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain (MK); Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain (MK); Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK (MGC); Spanish National Cancer Research Centre (CNIO), Madrid, Spain (FXR, NM); Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain (FXR, CS); Maine Cancer Registry, Augusta, ME (MS); Vermont Cancer Registry, Burlington, VT (AJ); Geisel School of Medicine at Dartmouth, Hanover, NH (MRK, AS); New Hampshire Department of Health and Human Services, Concord, NH (KRA); Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc. (formerly SAIC-Frederick, Inc.), Frederick National Laboratory for Cancer Research, Frederick, MD (PL); Molecular Epidemiology Group, Instituto Universitario de Oncologia, Universidad de Oviedo, Oviedo, Asturias, Spain (AT); Hospital Ramón y Cajal, Elche, Madrid, Spain (AC); Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain (RGC)
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Friesen MC, Shortreed SM, Wheeler DC, Burstyn I, Vermeulen R, Pronk A, Colt JS, Baris D, Karagas MR, Schwenn M, Johnson A, Armenti KR, Silverman DT, Yu K. Using hierarchical cluster models to systematically identify groups of jobs with similar occupational questionnaire response patterns to assist rule-based expert exposure assessment in population-based studies. ACTA ACUST UNITED AC 2014; 59:455-66. [PMID: 25477475 DOI: 10.1093/annhyg/meu101] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2014] [Accepted: 10/27/2014] [Indexed: 11/14/2022]
Abstract
OBJECTIVES Rule-based expert exposure assessment based on questionnaire response patterns in population-based studies improves the transparency of the decisions. The number of unique response patterns, however, can be nearly equal to the number of jobs. An expert may reduce the number of patterns that need assessment using expert opinion, but each expert may identify different patterns of responses that identify an exposure scenario. Here, hierarchical clustering methods are proposed as a systematic data reduction step to reproducibly identify similar questionnaire response patterns prior to obtaining expert estimates. As a proof-of-concept, we used hierarchical clustering methods to identify groups of jobs (clusters) with similar responses to diesel exhaust-related questions and then evaluated whether the jobs within a cluster had similar (previously assessed) estimates of occupational diesel exhaust exposure. METHODS Using the New England Bladder Cancer Study as a case study, we applied hierarchical cluster models to the diesel-related variables extracted from the occupational history and job- and industry-specific questionnaires (modules). Cluster models were separately developed for two subsets: (i) 5395 jobs with ≥1 variable extracted from the occupational history indicating a potential diesel exposure scenario, but without a module with diesel-related questions; and (ii) 5929 jobs with both occupational history and module responses to diesel-relevant questions. For each subset, we varied the numbers of clusters extracted from the cluster tree developed for each model from 100 to 1000 groups of jobs. Using previously made estimates of the probability (ordinal), intensity (µg m(-3) respirable elemental carbon), and frequency (hours per week) of occupational exposure to diesel exhaust, we examined the similarity of the exposure estimates for jobs within the same cluster in two ways. First, the clusters' homogeneity (defined as >75% with the same estimate) was examined compared to a dichotomized probability estimate (<5 versus ≥5%; <50 versus ≥50%). Second, for the ordinal probability metric and continuous intensity and frequency metrics, we calculated the intraclass correlation coefficients (ICCs) between each job's estimate and the mean estimate for all jobs within the cluster. RESULTS Within-cluster homogeneity increased when more clusters were used. For example, ≥80% of the clusters were homogeneous when 500 clusters were used. Similarly, ICCs were generally above 0.7 when ≥200 clusters were used, indicating minimal within-cluster variability. The most within-cluster variability was observed for the frequency metric (ICCs from 0.4 to 0.8). We estimated that using an expert to assign exposure at the cluster-level assignment and then to review each job in non-homogeneous clusters would require ~2000 decisions per expert, in contrast to evaluating 4255 unique questionnaire patterns or 14983 individual jobs. CONCLUSIONS This proof-of-concept shows that using cluster models as a data reduction step to identify jobs with similar response patterns prior to obtaining expert ratings has the potential to aid rule-based assessment by systematically reducing the number of exposure decisions needed. While promising, additional research is needed to quantify the actual reduction in exposure decisions and the resulting homogeneity of exposure estimates within clusters for an exposure assessment effort that obtains cluster-level expert assessments as part of the assessment process.
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Affiliation(s)
- Melissa C Friesen
- 1.Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Susan M Shortreed
- 2.Biostatistics, Group Health Research Institute, Seattle, WA 98101-1448, USA
| | - David C Wheeler
- 1.Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA 3.Department of Biostatistics, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Igor Burstyn
- 4.Department of Environmental and Occupational Health, Drexel University, Philadelphia, PA 19104, USA
| | | | | | - Joanne S Colt
- 1.Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Dalsu Baris
- 1.Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | | | - Molly Schwenn
- 8.Maine Cancer Registry, Augusta, ME 04333-0011, USA
| | - Alison Johnson
- 9.Vermont Cancer Registry, Burlington, VT 05402-0070, USA
| | - Karla R Armenti
- 10.New Hampshire Department of Health and Human Services, Division of Public Health Services, Bureau of Public Health Statistics and Informatics, Concord, NH 03301, USA
| | - Debra T Silverman
- 1.Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Kai Yu
- 11.Biostatistics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
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8
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Figueroa JD, Han SS, Garcia-Closas M, Baris D, Jacobs EJ, Kogevinas M, Schwenn M, Malats N, Johnson A, Purdue MP, Caporaso N, Landi MT, Prokunina-Olsson L, Wang Z, Hutchinson A, Burdette L, Wheeler W, Vineis P, Siddiq A, Cortessis VK, Kooperberg C, Cussenot O, Benhamou S, Prescott J, Porru S, Bueno-de-Mesquita H, Trichopoulos D, Ljungberg B, Clavel-Chapelon F, Weiderpass E, Krogh V, Dorronsoro M, Travis R, Tjønneland A, Brenan P, Chang-Claude J, Riboli E, Conti D, Gago-Dominguez M, Stern MC, Pike MC, Van Den Berg D, Yuan JM, Hohensee C, Rodabough R, Cancel-Tassin G, Roupret M, Comperat E, Chen C, De Vivo I, Giovannucci E, Hunter DJ, Kraft P, Lindstrom S, Carta A, Pavanello S, Arici C, Mastrangelo G, Karagas MR, Schned A, Armenti KR, Hosain G, Haiman CA, Fraumeni JF, Chanock SJ, Chatterjee N, Rothman N, Silverman DT. Genome-wide interaction study of smoking and bladder cancer risk. Carcinogenesis 2014; 35:1737-44. [PMID: 24662972 PMCID: PMC4123644 DOI: 10.1093/carcin/bgu064] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [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] [Received: 01/08/2014] [Revised: 02/18/2014] [Accepted: 03/06/2014] [Indexed: 02/04/2023] Open
Abstract
Bladder cancer is a complex disease with known environmental and genetic risk factors. We performed a genome-wide interaction study (GWAS) of smoking and bladder cancer risk based on primary scan data from 3002 cases and 4411 controls from the National Cancer Institute Bladder Cancer GWAS. Alternative methods were used to evaluate both additive and multiplicative interactions between individual single nucleotide polymorphisms (SNPs) and smoking exposure. SNPs with interaction P values < 5 × 10(-) (5) were evaluated further in an independent dataset of 2422 bladder cancer cases and 5751 controls. We identified 10 SNPs that showed association in a consistent manner with the initial dataset and in the combined dataset, providing evidence of interaction with tobacco use. Further, two of these novel SNPs showed strong evidence of association with bladder cancer in tobacco use subgroups that approached genome-wide significance. Specifically, rs1711973 (FOXF2) on 6p25.3 was a susceptibility SNP for never smokers [combined odds ratio (OR) = 1.34, 95% confidence interval (CI) = 1.20-1.50, P value = 5.18 × 10(-) (7)]; and rs12216499 (RSPH3-TAGAP-EZR) on 6q25.3 was a susceptibility SNP for ever smokers (combined OR = 0.75, 95% CI = 0.67-0.84, P value = 6.35 × 10(-) (7)). In our analysis of smoking and bladder cancer, the tests for multiplicative interaction seemed to more commonly identify susceptibility loci with associations in never smokers, whereas the additive interaction analysis identified more loci with associations among smokers-including the known smoking and NAT2 acetylation interaction. Our findings provide additional evidence of gene-environment interactions for tobacco and bladder cancer.
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Affiliation(s)
- Jonine D. Figueroa
- *To whom correspondence should be addressed. Tel: +(240) 276 7306; Fax: +(240) 276 7838;
| | | | | | - Dalsu Baris
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Institute for Cancer Research, London, UK
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Municipal Institute of Medical Research, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- National School of Public Health, Athens, Greece
- Maine Cancer Registry, Augusta, ME, USA
- Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Vermont Cancer Registry, Burlington, VT, USA
- Center for Genomics Research, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
- Information Management Services, Inc., Rockville, MD, USA
- Imperial College London, London, UK
- Department of Preventive Medicine and
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- Centre de Recherche sur les Pathologies Prostatiques, Paris, France
- Institut national de la sante et de la recherche medicale, U946, Foundation Jean Dausset Centre d’Etude du Polymorphisme Humain (CEPH), Paris, France
- Centre National de la Receherche Scientifique, UMR8200, Institut Gustave-Roussy, Villejuif, France
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece
- Hellenic Health Foundation, Kaisareias, Athens, Greece
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
- Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women’s Health Team, F-94805, Villejuif, France
- Univ Paris Sud, UMRS 1018, F-94805, Villejuif, France
- IGR, F-94805, Villejuif, France
- Department of Community Medicine, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Samfundet Folkhälsan, Helsinki, Finland
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department of Basque Region, San Sebastian, Spain
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
- Danish Cancer Society Research Center, Copenhagen, Denmark
- International Agency for Research on Cancer, Lyon, France
- DKFZ, Heidelberg, Germany
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
- UPMC Univ Paris 06, GRC n°5,ONCOTYPE-URO, Paris, France
- Department of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
- Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- New Hampshire Department of Health and Human Services, Concord, NH, USA and
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Eric J. Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | | | | | - Nuria Malats
- Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | | | - Mark P. Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Institute for Cancer Research, London, UK
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Municipal Institute of Medical Research, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- National School of Public Health, Athens, Greece
- Maine Cancer Registry, Augusta, ME, USA
- Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Vermont Cancer Registry, Burlington, VT, USA
- Center for Genomics Research, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
- Information Management Services, Inc., Rockville, MD, USA
- Imperial College London, London, UK
- Department of Preventive Medicine and
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- Centre de Recherche sur les Pathologies Prostatiques, Paris, France
- Institut national de la sante et de la recherche medicale, U946, Foundation Jean Dausset Centre d’Etude du Polymorphisme Humain (CEPH), Paris, France
- Centre National de la Receherche Scientifique, UMR8200, Institut Gustave-Roussy, Villejuif, France
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece
- Hellenic Health Foundation, Kaisareias, Athens, Greece
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
- Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women’s Health Team, F-94805, Villejuif, France
- Univ Paris Sud, UMRS 1018, F-94805, Villejuif, France
- IGR, F-94805, Villejuif, France
- Department of Community Medicine, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Samfundet Folkhälsan, Helsinki, Finland
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department of Basque Region, San Sebastian, Spain
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
- Danish Cancer Society Research Center, Copenhagen, Denmark
- International Agency for Research on Cancer, Lyon, France
- DKFZ, Heidelberg, Germany
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
- UPMC Univ Paris 06, GRC n°5,ONCOTYPE-URO, Paris, France
- Department of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
- Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- New Hampshire Department of Health and Human Services, Concord, NH, USA and
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Institute for Cancer Research, London, UK
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Municipal Institute of Medical Research, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- National School of Public Health, Athens, Greece
- Maine Cancer Registry, Augusta, ME, USA
- Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Vermont Cancer Registry, Burlington, VT, USA
- Center for Genomics Research, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
- Information Management Services, Inc., Rockville, MD, USA
- Imperial College London, London, UK
- Department of Preventive Medicine and
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- Centre de Recherche sur les Pathologies Prostatiques, Paris, France
- Institut national de la sante et de la recherche medicale, U946, Foundation Jean Dausset Centre d’Etude du Polymorphisme Humain (CEPH), Paris, France
- Centre National de la Receherche Scientifique, UMR8200, Institut Gustave-Roussy, Villejuif, France
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece
- Hellenic Health Foundation, Kaisareias, Athens, Greece
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
- Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women’s Health Team, F-94805, Villejuif, France
- Univ Paris Sud, UMRS 1018, F-94805, Villejuif, France
- IGR, F-94805, Villejuif, France
- Department of Community Medicine, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Samfundet Folkhälsan, Helsinki, Finland
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department of Basque Region, San Sebastian, Spain
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
- Danish Cancer Society Research Center, Copenhagen, Denmark
- International Agency for Research on Cancer, Lyon, France
- DKFZ, Heidelberg, Germany
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
- UPMC Univ Paris 06, GRC n°5,ONCOTYPE-URO, Paris, France
- Department of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
- Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- New Hampshire Department of Health and Human Services, Concord, NH, USA and
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Institute for Cancer Research, London, UK
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Municipal Institute of Medical Research, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- National School of Public Health, Athens, Greece
- Maine Cancer Registry, Augusta, ME, USA
- Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Vermont Cancer Registry, Burlington, VT, USA
- Center for Genomics Research, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
- Information Management Services, Inc., Rockville, MD, USA
- Imperial College London, London, UK
- Department of Preventive Medicine and
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- Centre de Recherche sur les Pathologies Prostatiques, Paris, France
- Institut national de la sante et de la recherche medicale, U946, Foundation Jean Dausset Centre d’Etude du Polymorphisme Humain (CEPH), Paris, France
- Centre National de la Receherche Scientifique, UMR8200, Institut Gustave-Roussy, Villejuif, France
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece
- Hellenic Health Foundation, Kaisareias, Athens, Greece
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
- Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women’s Health Team, F-94805, Villejuif, France
- Univ Paris Sud, UMRS 1018, F-94805, Villejuif, France
- IGR, F-94805, Villejuif, France
- Department of Community Medicine, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Samfundet Folkhälsan, Helsinki, Finland
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department of Basque Region, San Sebastian, Spain
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
- Danish Cancer Society Research Center, Copenhagen, Denmark
- International Agency for Research on Cancer, Lyon, France
- DKFZ, Heidelberg, Germany
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
- UPMC Univ Paris 06, GRC n°5,ONCOTYPE-URO, Paris, France
- Department of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
- Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- New Hampshire Department of Health and Human Services, Concord, NH, USA and
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Ludmila Prokunina-Olsson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Institute for Cancer Research, London, UK
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Municipal Institute of Medical Research, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- National School of Public Health, Athens, Greece
- Maine Cancer Registry, Augusta, ME, USA
- Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Vermont Cancer Registry, Burlington, VT, USA
- Center for Genomics Research, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
- Information Management Services, Inc., Rockville, MD, USA
- Imperial College London, London, UK
- Department of Preventive Medicine and
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- Centre de Recherche sur les Pathologies Prostatiques, Paris, France
- Institut national de la sante et de la recherche medicale, U946, Foundation Jean Dausset Centre d’Etude du Polymorphisme Humain (CEPH), Paris, France
- Centre National de la Receherche Scientifique, UMR8200, Institut Gustave-Roussy, Villejuif, France
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece
- Hellenic Health Foundation, Kaisareias, Athens, Greece
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
- Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women’s Health Team, F-94805, Villejuif, France
- Univ Paris Sud, UMRS 1018, F-94805, Villejuif, France
- IGR, F-94805, Villejuif, France
- Department of Community Medicine, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Samfundet Folkhälsan, Helsinki, Finland
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department of Basque Region, San Sebastian, Spain
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
- Danish Cancer Society Research Center, Copenhagen, Denmark
- International Agency for Research on Cancer, Lyon, France
- DKFZ, Heidelberg, Germany
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
- UPMC Univ Paris 06, GRC n°5,ONCOTYPE-URO, Paris, France
- Department of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
- Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- New Hampshire Department of Health and Human Services, Concord, NH, USA and
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Zhaoming Wang
- Center for Genomics Research, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
| | - Amy Hutchinson
- Center for Genomics Research, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
| | - Laurie Burdette
- Center for Genomics Research, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
| | | | | | | | - Victoria K. Cortessis
- Department of Preventive Medicine and
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Charles Kooperberg
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Olivier Cussenot
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- Centre de Recherche sur les Pathologies Prostatiques, Paris, France
| | - Simone Benhamou
- Institut national de la sante et de la recherche medicale, U946, Foundation Jean Dausset Centre d’Etude du Polymorphisme Humain (CEPH), Paris, France
- Centre National de la Receherche Scientifique, UMR8200, Institut Gustave-Roussy, Villejuif, France
| | - Jennifer Prescott
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Stefano Porru
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - H.Bas Bueno-de-Mesquita
- Imperial College London, London, UK
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
| | | | - Börje Ljungberg
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
| | | | | | - Vittorio Krogh
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Miren Dorronsoro
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department of Basque Region, San Sebastian, Spain
| | - Ruth Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | | | - Paul Brenan
- International Agency for Research on Cancer, Lyon, France
| | | | | | - David Conti
- Department of Preventive Medicine and
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain
| | - Mariana C. Stern
- Department of Preventive Medicine and
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Malcolm C. Pike
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - David Van Den Berg
- Department of Preventive Medicine and
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Jian-Min Yuan
- UPMC Univ Paris 06, GRC n°5,ONCOTYPE-URO, Paris, France
| | - Chancellor Hohensee
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Rebecca Rodabough
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Geraldine Cancel-Tassin
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- Centre de Recherche sur les Pathologies Prostatiques, Paris, France
- UPMC Univ Paris 06, GRC n°5,ONCOTYPE-URO, Paris, France
| | - Morgan Roupret
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- Centre de Recherche sur les Pathologies Prostatiques, Paris, France
- UPMC Univ Paris 06, GRC n°5,ONCOTYPE-URO, Paris, France
| | - Eva Comperat
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- Centre de Recherche sur les Pathologies Prostatiques, Paris, France
- UPMC Univ Paris 06, GRC n°5,ONCOTYPE-URO, Paris, France
| | - Constance Chen
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Immaculata De Vivo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Edward Giovannucci
- Department of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - David J. Hunter
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - Sara Lindstrom
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Angela Carta
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Sofia Pavanello
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
| | - Cecilia Arici
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | | | | | - Alan Schned
- New Hampshire Department of Health and Human Services, Concord, NH, USA and
| | - Karla R. Armenti
- New Hampshire Department of Health and Human Services, Concord, NH, USA and
| | - G.M.Monawar Hosain
- New Hampshire Department of Health and Human Services, Concord, NH, USA and
| | - Chris A. Haiman
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Joseph F. Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Institute for Cancer Research, London, UK
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Municipal Institute of Medical Research, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- National School of Public Health, Athens, Greece
- Maine Cancer Registry, Augusta, ME, USA
- Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Vermont Cancer Registry, Burlington, VT, USA
- Center for Genomics Research, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
- Information Management Services, Inc., Rockville, MD, USA
- Imperial College London, London, UK
- Department of Preventive Medicine and
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- Centre de Recherche sur les Pathologies Prostatiques, Paris, France
- Institut national de la sante et de la recherche medicale, U946, Foundation Jean Dausset Centre d’Etude du Polymorphisme Humain (CEPH), Paris, France
- Centre National de la Receherche Scientifique, UMR8200, Institut Gustave-Roussy, Villejuif, France
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece
- Hellenic Health Foundation, Kaisareias, Athens, Greece
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
- Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women’s Health Team, F-94805, Villejuif, France
- Univ Paris Sud, UMRS 1018, F-94805, Villejuif, France
- IGR, F-94805, Villejuif, France
- Department of Community Medicine, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Samfundet Folkhälsan, Helsinki, Finland
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department of Basque Region, San Sebastian, Spain
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
- Danish Cancer Society Research Center, Copenhagen, Denmark
- International Agency for Research on Cancer, Lyon, France
- DKFZ, Heidelberg, Germany
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
- UPMC Univ Paris 06, GRC n°5,ONCOTYPE-URO, Paris, France
- Department of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
- Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- New Hampshire Department of Health and Human Services, Concord, NH, USA and
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Institute for Cancer Research, London, UK
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Municipal Institute of Medical Research, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- National School of Public Health, Athens, Greece
- Maine Cancer Registry, Augusta, ME, USA
- Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Vermont Cancer Registry, Burlington, VT, USA
- Center for Genomics Research, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
- Information Management Services, Inc., Rockville, MD, USA
- Imperial College London, London, UK
- Department of Preventive Medicine and
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- Centre de Recherche sur les Pathologies Prostatiques, Paris, France
- Institut national de la sante et de la recherche medicale, U946, Foundation Jean Dausset Centre d’Etude du Polymorphisme Humain (CEPH), Paris, France
- Centre National de la Receherche Scientifique, UMR8200, Institut Gustave-Roussy, Villejuif, France
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece
- Hellenic Health Foundation, Kaisareias, Athens, Greece
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
- Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women’s Health Team, F-94805, Villejuif, France
- Univ Paris Sud, UMRS 1018, F-94805, Villejuif, France
- IGR, F-94805, Villejuif, France
- Department of Community Medicine, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Samfundet Folkhälsan, Helsinki, Finland
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department of Basque Region, San Sebastian, Spain
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
- Danish Cancer Society Research Center, Copenhagen, Denmark
- International Agency for Research on Cancer, Lyon, France
- DKFZ, Heidelberg, Germany
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
- UPMC Univ Paris 06, GRC n°5,ONCOTYPE-URO, Paris, France
- Department of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
- Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- New Hampshire Department of Health and Human Services, Concord, NH, USA and
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
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9
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Friesen MC, Park DU, Colt JS, Baris D, Schwenn M, Karagas MR, Armenti KR, Johnson A, Silverman DT, Stewart PA. Developing estimates of frequency and intensity of exposure to three types of metalworking fluids in a population-based case-control study of bladder cancer. Am J Ind Med 2014; 57:915-27. [PMID: 25060071 PMCID: PMC4112469 DOI: 10.1002/ajim.22328] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/11/2014] [Indexed: 01/09/2023]
Abstract
BACKGROUND A systematic, transparent, and data-driven approach was developed to estimate frequency and intensity of exposure to straight, soluble, and synthetic/semi-synthetic metalworking fluids (MWFs) within a case-control study of bladder cancer in New England. METHODS We assessed frequency using individual-level information from job-specific questionnaires wherever possible, then derived and applied job group-level patterns to likely exposed jobs with less information. Intensity estimates were calculated using a statistical model developed from measurements and determinants extracted from the published literature. RESULTS For jobs with probabilities of exposure≥0.5, median frequencies were 8-10 hr/week, depending on MWF type. Median intensities for these jobs were 2.5, 2.1, and 1.0 mg/m3 for soluble, straight, and synthetic/semi-synthetic MWFs, respectively. CONCLUSIONS Compared to case-by-case assessment, these data-driven decision rules are transparent and reproducible and may result in less biased estimates. These rules can also aid future exposure assessments of MWFs in population-based studies.
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Affiliation(s)
- Melissa C Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, 6120 Executive Blvd. EPS Room 8005, Rockville, Maryland, 20852, USA
| | - Dong-Uk Park
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, 6120 Executive Blvd. EPS Room 8005, Rockville, Maryland, 20852, USA
- Department of Environmental Health, Korea National Open University, 169, Donsungdong, Jongroku, Seoul, Korea, 110-791
| | - Joanne S Colt
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, 6120 Executive Blvd. EPS Room 8005, Rockville, Maryland, 20852, USA
| | - Dalsu Baris
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, 6120 Executive Blvd. EPS Room 8005, Rockville, Maryland, 20852, USA
| | | | | | - Karla R. Armenti
- New Hampshire Department of Health and Human Services, Division of Public Health Services, Bureau of Public Health Statistics and Informatics, Concord, New Hampshire, USA
| | | | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, 6120 Executive Blvd. EPS Room 8005, Rockville, Maryland, 20852, USA
| | - Patricia A Stewart
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, 6120 Executive Blvd. EPS Room 8005, Rockville, Maryland, 20852, USA
- Stewart Exposure Assessments, LLC, 6045 N 27. St, Arlington, VA 22207
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10
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Locke SJ, Colt JS, Stewart PA, Armenti KR, Baris D, Blair A, Cerhan JR, Chow WH, Cozen W, Davis F, De Roos AJ, Hartge P, Karagas MR, Johnson A, Purdue MP, Rothman N, Schwartz K, Schwenn M, Severson R, Silverman DT, Friesen MC. Identifying gender differences in reported occupational information from three US population-based case-control studies. Occup Environ Med 2014; 71:855-64. [PMID: 24683012 DOI: 10.1136/oemed-2013-101801] [Citation(s) in RCA: 20] [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] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVES Growing evidence suggests that gender-blind assessment of exposure may introduce exposure misclassification, but few studies have characterised gender differences across occupations and industries. We pooled control responses to job-specific, industry-specific and exposure-specific questionnaires (modules) that asked detailed questions about work activities from three US population-based case-control studies to examine gender differences in work tasks and their frequencies. METHODS We calculated the ratio of female-to-male controls that completed each module. For four job modules (assembly worker, machinist, health professional, janitor/cleaner) and for subgroups of jobs that completed those modules, we evaluated gender differences in task prevalence and frequency using χ(2) and Mann-Whitney U tests, respectively. RESULTS The 1360 female and 2245 male controls reported 6033 and 12 083 jobs, respectively. Gender differences in female:male module completion ratios were observed for 39 of 45 modules completed by ≥20 controls. Gender differences in task prevalence varied in direction and magnitude. For example, female janitors were significantly more likely to polish furniture (79% vs 44%), while male janitors were more likely to strip floors (73% vs 50%). Women usually reported more time spent on tasks than men. For example, the median hours per week spent degreasing for production workers in product manufacturing industries was 6.3 for women and 3.0 for men. CONCLUSIONS Observed gender differences may reflect actual differences in tasks performed or differences in recall, reporting or perception, all of which contribute to exposure misclassification and impact relative risk estimates. Our findings reinforce the need to capture subject-specific information on work tasks.
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Affiliation(s)
- Sarah J Locke
- Occupational and Environmental Epidemiology, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Joanne S Colt
- Occupational and Environmental Epidemiology, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | | | - Karla R Armenti
- New Hampshire Department of Health and Human Services, Division of Public Health Services, Bureau of Public Health Statistics and Informatics, Concord, New Hampshire, USA
| | - Dalsu Baris
- Occupational and Environmental Epidemiology, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Aaron Blair
- Occupational and Environmental Epidemiology, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - James R Cerhan
- Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Wong-Ho Chow
- The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Wendy Cozen
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, USA
| | - Faith Davis
- Department of Public Health Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA
| | - Patricia Hartge
- Occupational and Environmental Epidemiology, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Margaret R Karagas
- Department of Community and Family Medicine, Dartmouth Medical School, Lebanon, New Hampshire, USA
| | | | - Mark P Purdue
- Occupational and Environmental Epidemiology, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Kendra Schwartz
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan, USA
| | | | - Richard Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan, USA
| | - Debra T Silverman
- Occupational and Environmental Epidemiology, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Melissa C Friesen
- Occupational and Environmental Epidemiology, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
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11
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Figueroa JD, Ye Y, Siddiq A, Garcia-Closas M, Chatterjee N, Prokunina-Olsson L, Cortessis VK, Kooperberg C, Cussenot O, Benhamou S, Prescott J, Porru S, Dinney CP, Malats N, Baris D, Purdue M, Jacobs EJ, Albanes D, Wang Z, Deng X, Chung CC, Tang W, Bas Bueno-de-Mesquita H, Trichopoulos D, Ljungberg B, Clavel-Chapelon F, Weiderpass E, Krogh V, Dorronsoro M, Travis R, Tjønneland A, Brenan P, Chang-Claude J, Riboli E, Conti D, Gago-Dominguez M, Stern MC, Pike MC, Van Den Berg D, Yuan JM, Hohensee C, Rodabough R, Cancel-Tassin G, Roupret M, Comperat E, Chen C, De Vivo I, Giovannucci E, Hunter DJ, Kraft P, Lindstrom S, Carta A, Pavanello S, Arici C, Mastrangelo G, Kamat AM, Lerner SP, Barton Grossman H, Lin J, Gu J, Pu X, Hutchinson A, Burdette L, Wheeler W, Kogevinas M, Tardón A, Serra C, Carrato A, García-Closas R, Lloreta J, Schwenn M, Karagas MR, Johnson A, Schned A, Armenti KR, Hosain G, Andriole G, Grubb R, Black A, Ryan Diver W, Gapstur SM, Weinstein SJ, Virtamo J, Haiman CA, Landi MT, Caporaso N, Fraumeni JF, Vineis P, Wu X, Silverman DT, Chanock S, Rothman N. Genome-wide association study identifies multiple loci associated with bladder cancer risk. Hum Mol Genet 2014; 23:1387-98. [PMID: 24163127 PMCID: PMC3919005 DOI: 10.1093/hmg/ddt519] [Citation(s) in RCA: 113] [Impact Index Per Article: 11.3] [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: 06/04/2013] [Revised: 09/24/2013] [Accepted: 10/16/2013] [Indexed: 11/12/2022] Open
Abstract
Candidate gene and genome-wide association studies (GWAS) have identified 11 independent susceptibility loci associated with bladder cancer risk. To discover additional risk variants, we conducted a new GWAS of 2422 bladder cancer cases and 5751 controls, followed by a meta-analysis with two independently published bladder cancer GWAS, resulting in a combined analysis of 6911 cases and 11 814 controls of European descent. TaqMan genotyping of 13 promising single nucleotide polymorphisms with P < 1 × 10(-5) was pursued in a follow-up set of 801 cases and 1307 controls. Two new loci achieved genome-wide statistical significance: rs10936599 on 3q26.2 (P = 4.53 × 10(-9)) and rs907611 on 11p15.5 (P = 4.11 × 10(-8)). Two notable loci were also identified that approached genome-wide statistical significance: rs6104690 on 20p12.2 (P = 7.13 × 10(-7)) and rs4510656 on 6p22.3 (P = 6.98 × 10(-7)); these require further studies for confirmation. In conclusion, our study has identified new susceptibility alleles for bladder cancer risk that require fine-mapping and laboratory investigation, which could further understanding into the biological underpinnings of bladder carcinogenesis.
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Affiliation(s)
- Jonine D. Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yuanqing Ye
- Department of Epidemiology and
- Department of Urology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Afshan Siddiq
- Imperial College London, London, UK
- Human Genetics Foundation (HuGeF)
- Biochemistry and
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Victoria K. Cortessis
- Department of Preventive Medicine and
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Olivier Cussenot
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- Centre de Recherche sur les Pathologies Prostatiques, Paris, France
| | - Simone Benhamou
- Institut national de la sante et de la recherche medicale, U946, Foundation Jean Dausset Centre d'Etude du Polymorphisme Humain (CEPH), Paris, France
- Centre National de la Receherche Scientifique, UMR8200, Institut Gustave-Roussy, Villejuif, France
| | - Jennifer Prescott
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology
- Department of Epidemiology
- Department of Nutrition and
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - Stefano Porru
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Italy
| | - Colin P. Dinney
- Department of Urology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Núria Malats
- Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Dalsu Baris
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Mark Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Eric J. Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Zhaoming Wang
- Cancer Genomics Research, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
| | - Xiang Deng
- Cancer Genomics Research, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
| | - Charles C. Chung
- Cancer Genomics Research, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
| | - Wei Tang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - H. Bas Bueno-de-Mesquita
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
| | - Dimitrios Trichopoulos
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology
- Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece
- Hellenic Health Foundation, Kaisareias, Athens, Greece
| | - Börje Ljungberg
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
| | | | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Samfundet Folkhälsan, Helsinki, Finland
| | - Vittorio Krogh
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Miren Dorronsoro
- Pubilc Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department of Basque Region, San Sebastian, Spain
- CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain
| | - Ruth Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | | | - Paul Brenan
- International Agency for Research on Cancer, Lyon, France
| | | | - Elio Riboli
- Imperial College London, London, UK
- Human Genetics Foundation (HuGeF)
- Biochemistry and
| | | | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain
| | | | - Malcolm C. Pike
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | | | - Jian-Min Yuan
- University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania
| | - Chancellor Hohensee
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Rebecca Rodabough
- Department of Obstetrics & Gynecology, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Geraldine Cancel-Tassin
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- UPMC Univ Paris 06, GRC n°5, ONCOTYPE-URO, Paris, France
| | - Morgan Roupret
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- UPMC Univ Paris 06, GRC n°5, ONCOTYPE-URO, Paris, France
| | - Eva Comperat
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Urology, Assistance Publique-Hôpitaux de Paris, Tenon Hospital, Paris, France
- UPMC Univ Paris 06, GRC n°5, ONCOTYPE-URO, Paris, France
| | - Constance Chen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology
- Department of Epidemiology
- Department of Nutrition and
| | - Immaculata De Vivo
- Centre National de la Receherche Scientifique, UMR8200, Institut Gustave-Roussy, Villejuif, France
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology
- Department of Epidemiology
- Department of Nutrition and
| | - Edward Giovannucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology
- Department of Epidemiology
- Department of Nutrition and
| | - David J. Hunter
- Centre National de la Receherche Scientifique, UMR8200, Institut Gustave-Roussy, Villejuif, France
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology
- Department of Epidemiology
- Department of Nutrition and
- Broad Institute of Harvard and MIT, Êmbridge, MA, USA
| | - Peter Kraft
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology
- Department of Epidemiology
- Department of Nutrition and
| | - Sara Lindstrom
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology
- Department of Epidemiology
- Department of Nutrition and
| | - Angela Carta
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - Sofia Pavanello
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padua, Italy
| | - Cecilia Arici
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - Giuseppe Mastrangelo
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padua, Italy
| | - Ashish M. Kamat
- Department of Urology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Seth P. Lerner
- Scott Department of Urology, Baylor College of Medicine, Houston, TX, USA
| | - H. Barton Grossman
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - Jie Lin
- Department of Epidemiology and
- Department of Urology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Jian Gu
- Department of Epidemiology and
- Department of Urology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Xia Pu
- Department of Epidemiology and
- Department of Urology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Amy Hutchinson
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Laurie Burdette
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | | | - Manolis Kogevinas
- Pubilc Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department of Basque Region, San Sebastian, Spain
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain
- National School of Public Health, Athens, Greece
| | - Adonina Tardón
- Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | - Consol Serra
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
| | | | - Reina García-Closas
- Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain
| | - Josep Lloreta
- CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain
| | | | | | | | - Alan Schned
- Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Karla R. Armenti
- New Hampshire Department of Health and Human Services, Concord, NH, USA
| | - G.M. Hosain
- New Hampshire Department of Health and Human Services, Concord, NH, USA
| | - Gerald Andriole
- Department of Urology, Washington University School of Medicine, St. Louis, MO, USA
| | - Robert Grubb
- Department of Urology, Washington University School of Medicine, St. Louis, MO, USA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - W. Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Susan M. Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Stephanie J. Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jarmo Virtamo
- National Institute for Health and Welfare, Helsinki, Finland and
| | - Chris A. Haiman
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Maria T. Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Neil Caporaso
- 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
| | - Paolo Vineis
- Imperial College London, London, UK
- Human Genetics Foundation (HuGeF)
- Biochemistry and
| | - Xifeng Wu
- Department of Epidemiology and
- Department of Urology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Debra T. Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Stephen 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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12
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Park DU, Colt JS, Baris D, Schwenn M, Karagas MR, Armenti KR, Johnson A, Silverman DT, Stewart PA. Estimation of the probability of exposure to machining fluids in a population-based case-control study. J Occup Environ Hyg 2014; 11:757-70. [PMID: 25256317 PMCID: PMC4359797 DOI: 10.1080/15459624.2014.918984] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [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] [Indexed: 06/03/2023]
Abstract
We describe an approach for estimating the probability that study subjects were exposed to metalworking fluids (MWFs) in a population-based case-control study of bladder cancer. Study subject reports on the frequency of machining and use of specific MWFs (straight, soluble, and synthetic/semi-synthetic) were used to estimate exposure probability when available. Those reports also were used to develop estimates for job groups, which were then applied to jobs without MWF reports. Estimates using both cases and controls and controls only were developed. The prevalence of machining varied substantially across job groups (0.1->0.9%), with the greatest percentage of jobs that machined being reported by machinists and tool and die workers. Reports of straight and soluble MWF use were fairly consistent across job groups (generally 50-70%). Synthetic MWF use was lower (13-45%). There was little difference in reports by cases and controls vs. controls only. Approximately, 1% of the entire study population was assessed as definitely exposed to straight or soluble fluids in contrast to 0.2% definitely exposed to synthetic/semi-synthetics. A comparison between the reported use of the MWFs and U.S. production levels found high correlations (r generally >0.7). Overall, the method described here is likely to have provided a systematic and reliable ranking that better reflects the variability of exposure to three types of MWFs than approaches applied in the past. [Supplementary materials are available for this article. Go to the publisher's online edition of Journal of Occupational and Environmental Hygiene for the following free supplemental resources: a list of keywords in the occupational histories that were used to link study subjects to the metalworking fluids (MWFs) modules; recommendations from the literature on selection of MWFs based on type of machining operation, the metal being machined and decade; popular additives to MWFs; the number and proportion of controls who reported various MWF responses by job group; the number and proportion of controls assigned to the MWF types by job group and exposure category; and the distribution of cases and controls assigned various levels of probability by MWF type.].
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Affiliation(s)
- Dong-Uk Park
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, 9609 Medical Center Drive Room 6E608 MSC 9771 Bethesda, MD 20892 USA
- Department of Environmental Health, Korea National Open University, 169, Donsungdong, Jongroku, Seoul, Korea, 110-791
| | - Joanne S. Colt
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, 9609 Medical Center Drive Room 6E608 MSC 9771 Bethesda, MD 20892 USA
| | - Dalsu Baris
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, 9609 Medical Center Drive Room 6E608 MSC 9771 Bethesda, MD 20892 USA
| | | | | | - Karla R. Armenti
- New Hampshire Department of Health and Human Services, Division of Public Health Services, Bureau of Public Health Statistics and Informatics, Concord, New Hampshire, USA
| | | | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, 9609 Medical Center Drive Room 6E608 MSC 9771 Bethesda, MD 20892 USA
| | - Patricia A Stewart
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, 9609 Medical Center Drive Room 6E608 MSC 9771 Bethesda, MD 20892 USA
- Stewart Exposure Assessments, LLC, 6045 N 27th. St, Arlington, VA 22207
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13
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Armenti KR, Celaya MO, Cherala S, Riddle B, Schumacher PK, Rees JR. Improving the quality of industry and occupation data at a central cancer registry. Am J Ind Med 2010; 53:995-1001. [PMID: 20860053 DOI: 10.1002/ajim.20851] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND Central cancer registries are required to collect industry and occupation (I/O) information when available, but the data reported are often incomplete. METHODS We audited the completeness of I/O data in the New Hampshire State Cancer Registry (NHSCR) database for diagnosis year 2005, and reviewed medical records for a convenience sample of 474 of these cases. We compared I/O data quality before and after a statewide registrar training session on occupationally related cancers. RESULTS The original 2005 data contained both I/O data in 11.5% of cases, and lacked any I/O data in 74.5%. Corresponding figures for cases selected for audit were 15.2% and 77.2%, which improved to 54.2% and 11.8% after medical record review. After registrar training, 47% of reports contained both I/O data, and only 14.4% of cases lacked any I/O data. CONCLUSIONS Statewide training to highlight the importance of I/O data is an effective method to improve I/O data quality.
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Affiliation(s)
- Karla R Armenti
- New Hampshire Department of Health and Human Services, Concord, USA.
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14
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Celaya MO, Riddle BL, Cherala SS, Armenti KR, Rees JR. Reliability of rapid reporting of cancers in New Hampshire. J Registry Manag 2010; 37:107-111. [PMID: 21462882] [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] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
OBJECTIVE The New Hampshire State Cancer Registry (NHSCR) has a 2-phase reporting system. An abbreviated, "rapid" report of cancer diagnosis or treatment is due to the central registry within 45 days of diagnosis and a more detailed, definitive report is due within 180 days. Rapid reports are used for various research studies, but researchers who contact patients are warned that the rapid reports may contain inaccuracies. This study aimed to assess the reliability of rapid cancer reports. METHODS For diagnosis years 2000-2004, we compared the rapid and definitive reports submitted to NHSCR. We calculated the sensitivity and positive predictive value of rapid reports; the reliability of key data items overall and for major sites; and the time between diagnosis and submission of the report. RESULTS Rapid reports identified incident cancer cases with a sensitivity of 88.5%. The overall accuracy of key data items was high. The accuracy of primary sites identified by rapid reports was high generally but lower for ovarian and unknown primaries. A subset analysis showed that 47% of cancers were reported within 90 days of diagnosis. CONCLUSION Rapid reports submitted to NHSCR are generally of high quality and present a useful opportunity for research investigations in New Hampshire.
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Affiliation(s)
- Maria O Celaya
- New Hampshire State Cancer Registry, Department of Community and Family Medicine, Dartmouth Medical School, Hanover, NH, USA
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