Search

Your search keyword '"Rothman, Nathanial"' showing total 17 results
Start Over Author "Rothman, Nathanial" Publication Year Range Last 50 years

Refine your results

more »

more »

more »

more »
17 results on '"Rothman, Nathanial"'

2. Benzene exposure and risk of benzene poisoning in Chinese workers

Author

Vermeulen, Roel, Portengen, Lützen, Li, Guilan, Gilbert, Ethel S, Dores, Graça M, Ji, Bu Tian, Hayes, Richard B, Yin, Sognian, Rothman, Nathanial, Linet, Martha S., Qing, Lan, IRAS OH Epidemiology Chemical Agents, and IRAS OH Epidemiology Chemical Agents

Subjects
Public Health, Environmental and Occupational Health
Abstract

ObjectivesBenzene is a known haematoxin and leukemogen that can cause benzene poisoning (BP), that is, a persistent reduction in white cell counts that is strongly associated with increased risk of lymphohaematopoietic malignancies. Data are needed on the exposure–response, particularly at low doses and susceptible populations for clinical and regulatory purposes.MethodsIn a case-cohort study among 110 631 Chinese workers first employed 1949–1987 and followed up during 1972–1999, we evaluated BP risk according to benzene exposure level and investigated risk modification by subject (sex, attained age) and exposure-related factors (latency, exposure windows, age at first benzene exposure, coexposure to toluene) using excess relative risk and excess absolute risk models.ResultsThere were 538 BP cases and 909 benzene-exposed referents. The exposure metric with best model fit was cumulative benzene exposure during a 5-year risk window, followed by a 9-month lag period before BP diagnosis. Estimated excess absolute risk of BP at age 60 increased from 0.5% for subjects in the lowest benzene exposure category (>0 to 10 ppm-years) to 5.0% for those in the highest category (>100 ppm-years) compared with unexposed subjects. Increased risks were apparent at low cumulative exposure levels and for workers who were first exposed at ConclusionsOur data show a clear association between benzene exposure and BP, beginning at low cumulative benzene exposure levels with no threshold, and with higher risks for workers exposed at younger ages. These findings are important because BP has been linked to a strongly increased development of lymphohaematopoietic malignancies.

Published
2022

3. Benzene exposure and risk of benzene poisoning in Chinese workers

Author

IRAS OH Epidemiology Chemical Agents, Vermeulen, Roel, Portengen, Lützen, Li, Guilan, Gilbert, Ethel S, Dores, Graça M, Ji, Bu Tian, Hayes, Richard B, Yin, Sognian, Rothman, Nathanial, Linet, Martha S., Qing, Lan, IRAS OH Epidemiology Chemical Agents, Vermeulen, Roel, Portengen, Lützen, Li, Guilan, Gilbert, Ethel S, Dores, Graça M, Ji, Bu Tian, Hayes, Richard B, Yin, Sognian, Rothman, Nathanial, Linet, Martha S., and Qing, Lan

Published
2022

4. Combining Decision Rules from Classification Tree Models and Expert Assessment to Estimate Occupational Exposure to Diesel Exhaust for a Case-Control Study

Author

Friesen, Melissa C., Wheeler, David C., Vermeulen, Roel, Locke, Sarah J., Zaebst, Dennis D., Koutros, Stella, Pronk, Anjoeka, Colt, Joanne S., Baris, Dalsu, Karagas, Margaret R., Malats, Nuria, Schwenn, Molly, Johnson, Alison, Armenti, Karla R., Rothman, Nathanial, Stewart, Patricia A., Kogevinas, Manolis, and Silverman, Debra T.

Published
2016
Full Text
View/download PDF

6. Uncommon CHEK2 mis-sense variant and reduced risk of tobacco-related cancers: case–control study

Author

Brennan, Paul, McKay, James, Moore, Lee, Zaridze, David, Mukeria, Anush, Szeszenia-Dabrowska, Neonilia, Lissowska, Jolanta, Rudnai, Peter, Fabianova, Eleonora, Mates, Dana, Bencko, Vladimir, Foretova, Lenka, Janout, Vladimir, Chow, Wong-Ho, Rothman, Nathanial, Chabrier, Amelie, Gaborieau, Valerie, Odefrey, Fabrice, Southey, Melissa, Hashibe, Mia, Hall, Janet, Boffetta, Paolo, Peto, Julian, Peto, Richard, and Hung, Rayjean J.

Published
2007

7. A case–control study of occupation/industry and renal cell carcinoma risk

Author

Karami Sara, Colt Joanne S, Schwartz Kendra, Davis Faith G, Ruterbusch Julie J, Munuo Stella S, Wacholder Sholom, Stewart Patricia A, Graubard Barry I, Rothman Nathanial, Chow Wong-Ho, and Purdue Mark P

Subjects
Kidney cancer, Renal cancer, Clear cell RCC, Occupation, Industry, Race, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background The role of occupation in the etiology of renal cell carcinoma (RCC) is unclear. Here, we investigated associations between employment in specific occupations and industries and RCC, and its most common histologic subtype, clear cell RCC (ccRCC). Methods Between 2002 and 2007, a population-based case–control study of Caucasians and African Americans (1,217 cases; 1,235 controls) was conducted within the Detroit and Chicago metropolitan areas to investigate risk factors for RCC. As part of this study, occupational histories were ascertained through in-person interviews. We computed odds ratios (ORs) and 95% confidence intervals (CIs) relating occupation and industry to RCC risk using adjusted unconditional logistic regression models. Results Employment in the agricultural crop production industry for five years or more was associated with RCC (OR = 3.3 [95% CI = 1.0-11.5]) and ccRCC in particular (OR = 6.3 [95% CI = 1.7-23.3], P for trend with duration of employment = 0.0050). Similarly, RCC risk was elevated for employment of five years or longer in non-managerial agricultural and related occupations (ORRCC = 2.1 [95% CI = 1.0-4.5]; ORccRCC = 3.1 [95% CI = 1.4-6.8]). Employment in the dry-cleaning industry was also associated with elevated risk (ORRCC = 2.0 [95% CI = 0.9-4.4], P for trend = 0.093; ORccRCC = 3.0 [95% CI = 1.2-7.4], P for trend = 0.031). Suggestive elevated associations were observed for police/public safety workers, health care workers and technicians, and employment in the electronics, auto repair, and cleaning/janitorial services industries; protective associations were suggested for many white-collar jobs including computer science and administrative occupations as well employment in the business, legislative, and education industries. Conclusions Our findings provide support for an elevated risk of RCC in the agricultural and dry-cleaning industries and suggest that these associations may be stronger for the ccRCC subtype. Additional studies are needed to confirm these findings.

Published
2012
Full Text
View/download PDF

8. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia

Author

Law, Philip J, Berndt, Sonja I, Speedy, Helen E, Camp, Nicola J, Sava, Georgina P, Skibola, Christine F, Holroyd, Amy, Joseph, Vijai, Sunter, Nicola J, Nieters, Alexandra, Bea, Silvia, Monnereau, Alain, Martin-Garcia, David, Goldin, Lynn R, Clot, Guillem, Teras, Lauren R, Quintela, Inés, Birmann, Brenda M, Jayne, Sandrine, Cozen, Wendy, Majid, Aneela, Smedby, Karin E, Lan, Qing, Dearden, Claire, Brooks-Wilson, Angela R., Hall, Andrew G, Purdue, Mark P, Mainou-Fowler, Tryfonia, Vajdic, Claire M, Jackson, Graham H, Cocco, Pierluigi, Marr, Helen, Zhang, Yawei, Zheng, Tongzhang, Giles, Graham G, Lawrence, Charles, Call, Timothy G, Liebow, Mark, Melbye, Mads, Glimelius, Bengt, Mansouri, Larry, Glenn, Martha, Curtin, Karen, Diver, W Ryan, Link, Brian K, Conde, Lucia, Bracci, Paige M., Holly, Elizabeth A, Jackson, Rebecca D, Tinker, Lesley F, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Maynadie, Marc, McKay, James, Albanes, Demetrius, Weinstein, Stephanie, Wang, Zhaoming, Caporaso, Neil E., Morton, Lindsay M, Severson, Richard K, Riboli, Elio, Vineis, Paolo, Vermeulen, Roel C H, Southey, Melissa C, Milne, Roger L., Clavel, Jacqueline, Topka, Sabine, Spinelli, John J, Kraft, Peter, Ennas, Maria Grazia, Summerfield, Geoffrey, Ferri, Giovanni M, Harris, Robert J, Miligi, Lucia, Pettitt, Andrew R, North, Kari E, Allsup, David J, Fraumeni, Joseph F, Bailey, James R, Offit, Kenneth, Pratt, Guy, Hjalgrim, Henrik, Pepper, Christopher, Chanock, Stephen J, Fegan, Chris, Rosenquist, Richard, de Sanjose, Silvia, Carracedo, Angel, Dyer, Martin J S, Catovsky, Daniel, Campo, Elias, Cerhan, James R., Allan, James M, Rothman, Nathanial, Houlston, Richard, Slager, Susan, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Microsoft Research [Redmond], Microsoft Corporation [Redmond, Wash.], Department of Physics, Loyola College, Nungambakkam, Chennai – 600 034, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona (UB), University of Aleppo [Aleppo], Sea Mammal Research Unit [University of St Andrews] (SMRU), School of Biology [University of St Andrews], University of St Andrews [Scotland]-University of St Andrews [Scotland]-Natural Environment Research Council (NERC), Department of Chemical Engineering, Imperial College London, De la Molécule aux Nanos-objets : Réactivité, Interactions et Spectroscopies (MONARIS), Institut de Chimie du CNRS (INC)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), The Cancer Council Victoria, University of Oulu, Uppsala Universitet [Uppsala], Université Paris Nanterre (UPN), University of Iowa [Iowa City], Registre des hémopathies malignes de Côte d'Or, Institut de Radioprotection et de Sûreté Nucléaire (IRSN), B.B. Brodie Department of Neuroscience, Pennsylvania State University (Penn State), Penn State System, University of Newcastle [Australia] (UoN), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Department of Haematology, School of Medicine, Cardiff University, CIBER de Enfermedades Raras (CIBERER), University of Leeds, Haemato-oncology, Institute of cancer research, Mayo Clinic [Rochester], Northern Institute for Cancer Research [Newcastle] (NICR), Newcastle University [Newcastle], Institute of Cancer Research, Belmont, Sutton, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews [Scotland], Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), University of Cardiff, Équipe Instrumentation embarquée et systèmes de surveillance intelligents (LAAS-S4M), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J), University of Newcastle [Callaghan, Australia] (UoN), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-2, Université Toulouse 1 Capitole (UT1)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), and Université Fédérale Toulouse Midi-Pyrénées

Subjects
Adult, Male, RM, Cancer och onkologi, B-Lymphocytes, [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], Science, Chromosome Mapping, Middle Aged, Leukemia, Lymphocytic, Chronic, B-Cell, Polymorphism, Single Nucleotide, Article, Young Adult, Cancer and Oncology, Case-Control Studies, Antibody Formation, Chromosomes, Human, Humans, Female, Genetic Predisposition to Disease, RC, Genome-Wide Association Study
Abstract

Several chronic lymphocytic leukaemia (CLL) susceptibility loci have been reported; however, much of the heritable risk remains unidentified. Here we perform a meta-analysis of six genome-wide association studies, imputed using a merged reference panel of 1,000 Genomes and UK10K data, totalling 6,200 cases and 17,598 controls after replication. We identify nine risk loci at 1p36.11 (rs34676223, P=5.04 × 10−13), 1q42.13 (rs41271473, P=1.06 × 10−10), 4q24 (rs71597109, P=1.37 × 10−10), 4q35.1 (rs57214277, P=3.69 × 10−8), 6p21.31 (rs3800461, P=1.97 × 10−8), 11q23.2 (rs61904987, P=2.64 × 10−11), 18q21.1 (rs1036935, P=3.27 × 10−8), 19p13.3 (rs7254272, P=4.67 × 10−8) and 22q13.33 (rs140522, P=2.70 × 10−9). These new and established risk loci map to areas of active chromatin and show an over-representation of transcription factor binding for the key determinants of B-cell development and immune response., Chronic lymphocytic leukaemia has a hereditary component, much of which remains to be identified. Here, the authors perform a genome-wide association study and find new risk loci for the disease, which are associated with genes involved in immune function.

Published
2017
Full Text
View/download PDF

9. Combining Decision Rules from Classification Tree Models and Expert Assessment to Estimate Occupational Exposure to Diesel Exhaust for a Case-Control Study

Author

Friesen, Melissa C, Wheeler, David C, Vermeulen, Roel, Locke, Sarah J, Zaebst, Dennis D, Koutros, Stella, Pronk, Anjoeka, Colt, Joanne S, Baris, Dalsu, Karagas, Margaret R, Malats, Nuria, Schwenn, Molly, Johnson, Alison, Armenti, Karla R, Rothman, Nathanial, Stewart, Patricia A, Kogevinas, Manolis, Silverman, Debra T, LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-I&I RA, dIRAS RA-2, LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-I&I RA, and dIRAS RA-2

Subjects
Air Pollutants, Occupational, Biology, Logistic regression, Decision Support Techniques, 03 medical and health sciences, 0302 clinical medicine, Occupational hygiene, Occupational Exposure, Statistics, Humans, 030212 general & internal medicine, Reliability (statistics), Exposure assessment, Vehicle Emissions, Decision tree learning, Public Health, Environmental and Occupational Health, diesel exhaust, Reproducibility of Results, occupational exposure, General Medicine, Decision rule, Models, Theoretical, 030210 environmental & occupational health, statistical learning, Logistic Models, Spain, Case-Control Studies, Original Article, Occupational exposure, exposure assessment methodology, case-control, Kappa, Environmental Monitoring
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 (κw) 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 (κw: 0.81-0.90). For jobs with estimates based on rules with lower agreement rates, moderate agreement was observed between the two experts (κw: 0.42-0.67) and poor-to-moderate agreement was observed between the experts and the CT estimates (κw: 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

Published
2015

10. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia

Author

Law, Phillip J., Berndt, Sonja I., Speedy, Helen E., Camp, Nicola J., Sava, Georgina P., Skibola, Christine F., Holroyd, Amy, Joseph, Vijai, Sunter, Nicola J., Nieters, Alexandra, Bea, Silvia, Monnereau, Alain, Martin-Garcia, David, Goldin, Lynn R., Clot, Guillem, Teras, Lauren R., Quintela, Ines, Birmann, Brenda M., Jayne, Sandrine, Cozen, Wendy, Majid, Aneela, Smedby, Karin E., Lan, Qing, Dearden, Claire, Brooks-Wilson, Angela R., Hall, Andrew G., Purdue, Mark P., Mainou-Fowler, Tryfonia, Vajdic, Claire M., Jackson, Graham H., Cocco, Pierluigi, Marr, Helen, Zhang, Yawei, Zheng, Tongzhang, Giles, Graham G., Lawrence, Charles, Call, Timothy G., Liebow, Mark, Melbye, Mads, Glimelius, Bengt, Mansouri, Larry, Glenn, Martha, Curtin, Karen, Diver, W. Ryan, Link, Brian K., Conde, Lucia, Bracci, Paige M., Holly, Elizabeth A., Jackson, Rebecca D., Tinker, Lesley F., Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Maynadie, Marc, McKay, James, Albanes, Demetrius, Weinstein, Stephanie, Wang, Zhaoming, Caporaso, Neil E., Morton, Lindsay M., Severson, Richard K., Riboli, Elio, Vineis, Paolo, Vermeulen, Roel C. H., Southey, Melissa C., Milne, Roger L., Clavel, Jacqueline, Topka, Sabine, Spinelli, John J., Kraft, Peter, Ennas, Maria Grazia, Summerfield, Geoffrey, Ferri, Giovanni M., Harris, Robert J., Miligi, Lucia, Pettitt, Andrew R., North, Kari E., Allsup, David J., Fraumeni, Joseph F., Jr., Bailey, James R., Offit, Kenneth, Pratt, Guy, Hjalgrim, Henrik, Pepper, Chris, Chanock, Stephen J., Fegan, Chris, Rosenquist, Richard, de Sanjose, Silvia, Carracedo, Angel, Dyer, Martin J. S., Catovsky, Daniel, Campo, Elias, Cerhan, James R., Allan, James M., Rothman, Nathanial, Houlston, Richard, Slager, Susan L., Law, Phillip J., Berndt, Sonja I., Speedy, Helen E., Camp, Nicola J., Sava, Georgina P., Skibola, Christine F., Holroyd, Amy, Joseph, Vijai, Sunter, Nicola J., Nieters, Alexandra, Bea, Silvia, Monnereau, Alain, Martin-Garcia, David, Goldin, Lynn R., Clot, Guillem, Teras, Lauren R., Quintela, Ines, Birmann, Brenda M., Jayne, Sandrine, Cozen, Wendy, Majid, Aneela, Smedby, Karin E., Lan, Qing, Dearden, Claire, Brooks-Wilson, Angela R., Hall, Andrew G., Purdue, Mark P., Mainou-Fowler, Tryfonia, Vajdic, Claire M., Jackson, Graham H., Cocco, Pierluigi, Marr, Helen, Zhang, Yawei, Zheng, Tongzhang, Giles, Graham G., Lawrence, Charles, Call, Timothy G., Liebow, Mark, Melbye, Mads, Glimelius, Bengt, Mansouri, Larry, Glenn, Martha, Curtin, Karen, Diver, W. Ryan, Link, Brian K., Conde, Lucia, Bracci, Paige M., Holly, Elizabeth A., Jackson, Rebecca D., Tinker, Lesley F., Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Maynadie, Marc, McKay, James, Albanes, Demetrius, Weinstein, Stephanie, Wang, Zhaoming, Caporaso, Neil E., Morton, Lindsay M., Severson, Richard K., Riboli, Elio, Vineis, Paolo, Vermeulen, Roel C. H., Southey, Melissa C., Milne, Roger L., Clavel, Jacqueline, Topka, Sabine, Spinelli, John J., Kraft, Peter, Ennas, Maria Grazia, Summerfield, Geoffrey, Ferri, Giovanni M., Harris, Robert J., Miligi, Lucia, Pettitt, Andrew R., North, Kari E., Allsup, David J., Fraumeni, Joseph F., Jr., Bailey, James R., Offit, Kenneth, Pratt, Guy, Hjalgrim, Henrik, Pepper, Chris, Chanock, Stephen J., Fegan, Chris, Rosenquist, Richard, de Sanjose, Silvia, Carracedo, Angel, Dyer, Martin J. S., Catovsky, Daniel, Campo, Elias, Cerhan, James R., Allan, James M., Rothman, Nathanial, Houlston, Richard, and Slager, Susan L.

Abstract

Several chronic lymphocytic leukaemia (CLL) susceptibility loci have been reported; however, much of the heritable risk remains unidentified. Here we perform a meta-analysis of six genome-wide association studies, imputed using a merged reference panel of 1,000 Genomes and UK10K data, totalling 6,200 cases and 17,598 controls after replication. We identify nine risk loci at 1p36.11 (rs34676223, P = 5.04 X 10 (-) (13)), 1q42.13 (rs41271473, P = 1.06 X 10 (-) (10)), 4q24 (rs71597109, P = 1.37 X 10 (-) (10)), 4q35.1 (rs57214277, P = 3.69 X 10 (-) (8)), 6p21.31 (rs3800461, P = 1.97 X 10 (-) (8)), 11q23.2 (rs61904987, P = 2.64 X 10 (-) (11)), 18q21.1 (rs1036935, P = 3.27 X 10 (-) (8)), 19p13.3 (rs7254272, P = 4.67 X 10 (-) (8)) and 22q13.33 (rs140522, P = 2.70 X 10 (-) (9)). These new and established risk loci map to areas of active chromatin and show an over-representation of transcription factor binding for the key determinants of B-cell development and immune response.

Published
2017
Full Text
View/download PDF

11. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia

Author

LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-2, Law, Philip J, Berndt, Sonja I., Speedy, Helen E, Camp, Nicola J, Sava, Georgina P, Skibola, Christine F., Holroyd, Amy, Joseph, Vijai, Sunter, Nicola J, Nieters, Alexandra, Bea, Silvia, Monnereau, Alain, Martin-Garcia, David, Goldin, Lynn R, Clot, Guillem, Teras, Lauren R., Quintela, Inés, Birmann, Brenda M., Jayne, Sandrine, Cozen, Wendy, Majid, Aneela, Smedby, Karin E, Lan, Qing, Dearden, Claire, Brooks-Wilson, Angela R., Hall, Andrew G, Purdue, Mark P., Mainou-Fowler, Tryfonia, Vajdic, Claire M., Jackson, Graham H, Cocco, Pierluigi, Marr, Helen, Zhang, Yawei, Zheng, Tongzhang, Giles, Graham G., Lawrence, Charles, Call, Timothy G., Liebow, Mark, Melbye, Mads, Glimelius, Bengt, Mansouri, Larry, Glenn, Martha, Curtin, Karen, Diver, W. Ryan, Link, Brian K., Conde, Lucia, Bracci, Paige M., Holly, Elizabeth A., Jackson, Rebecca D., Tinker, Lesley F., Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Maynadie, Marc, McKay, James, Albanes, Demetrius, Weinstein, Stephanie, Wang, Zhaoming, Caporaso, Neil E, Morton, Lindsay M., Severson, Richard K., Riboli, Elio, Vineis, Paolo, Vermeulen, Roel C H, Southey, Melissa C., Milne, Roger L, Clavel, Jacqueline, Topka, Sabine, Spinelli, John, Kraft, Peter, Ennas, Maria Grazia, Summerfield, Geoffrey, Ferri, Giovanni M, Harris, Robert J, Miligi, Lucia, Pettitt, Andrew R, North, Kari E., Allsup, David J, Fraumeni, Joseph F., Bailey, James R, Offit, Kenneth, Pratt, Guy, Hjalgrim, Henrik, Pepper, Chris, Chanock, Stephen J., Fegan, Chris, Rosenquist, Richard, De Sanjose, Silvia, Carracedo, Angel, Dyer, Martin J S, Catovsky, Daniel, Campo, Elias, Cerhan, James R., Allan, James M, Rothman, Nathanial, Houlston, Richard S, Slager, Susan L., LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-2, Law, Philip J, Berndt, Sonja I., Speedy, Helen E, Camp, Nicola J, Sava, Georgina P, Skibola, Christine F., Holroyd, Amy, Joseph, Vijai, Sunter, Nicola J, Nieters, Alexandra, Bea, Silvia, Monnereau, Alain, Martin-Garcia, David, Goldin, Lynn R, Clot, Guillem, Teras, Lauren R., Quintela, Inés, Birmann, Brenda M., Jayne, Sandrine, Cozen, Wendy, Majid, Aneela, Smedby, Karin E, Lan, Qing, Dearden, Claire, Brooks-Wilson, Angela R., Hall, Andrew G, Purdue, Mark P., Mainou-Fowler, Tryfonia, Vajdic, Claire M., Jackson, Graham H, Cocco, Pierluigi, Marr, Helen, Zhang, Yawei, Zheng, Tongzhang, Giles, Graham G., Lawrence, Charles, Call, Timothy G., Liebow, Mark, Melbye, Mads, Glimelius, Bengt, Mansouri, Larry, Glenn, Martha, Curtin, Karen, Diver, W. Ryan, Link, Brian K., Conde, Lucia, Bracci, Paige M., Holly, Elizabeth A., Jackson, Rebecca D., Tinker, Lesley F., Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Maynadie, Marc, McKay, James, Albanes, Demetrius, Weinstein, Stephanie, Wang, Zhaoming, Caporaso, Neil E, Morton, Lindsay M., Severson, Richard K., Riboli, Elio, Vineis, Paolo, Vermeulen, Roel C H, Southey, Melissa C., Milne, Roger L, Clavel, Jacqueline, Topka, Sabine, Spinelli, John, Kraft, Peter, Ennas, Maria Grazia, Summerfield, Geoffrey, Ferri, Giovanni M, Harris, Robert J, Miligi, Lucia, Pettitt, Andrew R, North, Kari E., Allsup, David J, Fraumeni, Joseph F., Bailey, James R, Offit, Kenneth, Pratt, Guy, Hjalgrim, Henrik, Pepper, Chris, Chanock, Stephen J., Fegan, Chris, Rosenquist, Richard, De Sanjose, Silvia, Carracedo, Angel, Dyer, Martin J S, Catovsky, Daniel, Campo, Elias, Cerhan, James R., Allan, James M, Rothman, Nathanial, Houlston, Richard S, and Slager, Susan L.

Published
2017

12. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia

Author

Law, Philip J., Berndt, Sonja I., Speedy, Helen E., Camp, Nicola J., Sava, Georgina P., Skibola, Christine F., Holroyd, Amy, Joseph, Vijai, Sunter, Nicola J., Nieters, Alexandra, Bea, Silvia, Monnereau, Alain, Martin-Garcia, David, Goldin, Lynn R., Clot, Guillem, Teras, Lauren R., Quintela, Inés, Birmann, Brenda M., Jayne, Sandrine, Cozen, Wendy, Majid, Aneela, Smedby, Karin E., Lan, Qing, Dearden, Claire, Brooks-Wilson, Angela R., Hall, Andrew G., Purdue, Mark P., Mainou-Fowler, Tryfonia, Vajdic, Claire M., Jackson, Graham H., Cocco, Pierluigi, Marr, Helen, Zhang, Yawei, Zheng, Tongzhang, Giles, Graham G., Lawrence, Charles, Call, Timothy G., Liebow, Mark, Melbye, Mads, Glimelius, Bengt, Mansouri, Larry, Glenn, Martha, Curtin, Karen, Diver, W. Ryan, Link, Brian K., Conde, Lucia, Bracci, Paige M., Holly, Elizabeth A., Jackson, Rebecca D., Tinker, Lesley F., Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Maynadie, Marc, McKay, James, Albanes, Demetrius, Weinstein, Stephanie, Wang, Zhaoming, Caporaso, Neil E., Morton, Lindsay M., Severson, Richard K., Riboli, Elio, Vineis, Paolo, Vermeulen, Roel C.H., Southey, Melissa C., Milne, Roger L., Clavel, Jacqueline, Topka, Sabine, Spinelli, John J., Kraft, Peter, Ennas, Maria Grazia, Summerfield, Geoffrey, Ferri, Giovanni M., Harris, Robert J., Miligi, Lucia, Pettitt, Andrew R., North, Kari E., Allsup, David J., Fraumeni, Joseph F., Bailey, James R., Offit, Kenneth, Pratt, Guy, Hjalgrim, Henrik, Pepper, Chris, Chanock, Stephen J., Fegan, Chris, Rosenquist, Richard, De Sanjose, Silvia, Carracedo, Angel, Dyer, Martin J.S., Catovsky, Daniel, Campo, Elias, Cerhan, James R., Allan, James M., Rothman, Nathanial, Houlston, Richard, Slager, Susan, Law, Philip J., Berndt, Sonja I., Speedy, Helen E., Camp, Nicola J., Sava, Georgina P., Skibola, Christine F., Holroyd, Amy, Joseph, Vijai, Sunter, Nicola J., Nieters, Alexandra, Bea, Silvia, Monnereau, Alain, Martin-Garcia, David, Goldin, Lynn R., Clot, Guillem, Teras, Lauren R., Quintela, Inés, Birmann, Brenda M., Jayne, Sandrine, Cozen, Wendy, Majid, Aneela, Smedby, Karin E., Lan, Qing, Dearden, Claire, Brooks-Wilson, Angela R., Hall, Andrew G., Purdue, Mark P., Mainou-Fowler, Tryfonia, Vajdic, Claire M., Jackson, Graham H., Cocco, Pierluigi, Marr, Helen, Zhang, Yawei, Zheng, Tongzhang, Giles, Graham G., Lawrence, Charles, Call, Timothy G., Liebow, Mark, Melbye, Mads, Glimelius, Bengt, Mansouri, Larry, Glenn, Martha, Curtin, Karen, Diver, W. Ryan, Link, Brian K., Conde, Lucia, Bracci, Paige M., Holly, Elizabeth A., Jackson, Rebecca D., Tinker, Lesley F., Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Maynadie, Marc, McKay, James, Albanes, Demetrius, Weinstein, Stephanie, Wang, Zhaoming, Caporaso, Neil E., Morton, Lindsay M., Severson, Richard K., Riboli, Elio, Vineis, Paolo, Vermeulen, Roel C.H., Southey, Melissa C., Milne, Roger L., Clavel, Jacqueline, Topka, Sabine, Spinelli, John J., Kraft, Peter, Ennas, Maria Grazia, Summerfield, Geoffrey, Ferri, Giovanni M., Harris, Robert J., Miligi, Lucia, Pettitt, Andrew R., North, Kari E., Allsup, David J., Fraumeni, Joseph F., Bailey, James R., Offit, Kenneth, Pratt, Guy, Hjalgrim, Henrik, Pepper, Chris, Chanock, Stephen J., Fegan, Chris, Rosenquist, Richard, De Sanjose, Silvia, Carracedo, Angel, Dyer, Martin J.S., Catovsky, Daniel, Campo, Elias, Cerhan, James R., Allan, James M., Rothman, Nathanial, Houlston, Richard, and Slager, Susan

Abstract

Several chronic lymphocytic leukaemia (CLL) susceptibility loci have been reported; however, much of the heritable risk remains unidentified. Here we perform a meta-analysis of six genome-wide association studies, imputed using a merged reference panel of 1,000 Genomes and UK10K data, totalling 6,200 cases and 17,598 controls after replication. We identify nine risk loci at 1p36.11 (rs34676223, P=5.04 × 10-13), 1q42.13 (rs41271473, P=1.06 × 10-10), 4q24 (rs71597109, P=1.37 × 10 -10), 4q35.1 (rs57214277, P=3.69 × 10-8), 6p21.31 (rs3800461, P=1.97 × 10-8), 11q23.2 (rs61904987, P=2.64 × 10-11), 18q21.1 (rs1036935, P=3.27 × 10-8), 19p13.3 (rs7254272, P=4.67 × 10-8) and 22q13.33 (rs140522, P=2.70 × 10-9). These new and established risk loci map to areas of active chromatin and show an over-representation of transcription factor binding for the key determinants of B-cell development and immune response.

Published
2017

13. Combining Decision Rules from Classification Tree Models and Expert Assessment to Estimate Occupational Exposure to Diesel Exhaust for a Case-Control Study

Author

LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-I&I RA, dIRAS RA-2, Friesen, Melissa C, Wheeler, David C, Vermeulen, Roel, Locke, Sarah J, Zaebst, Dennis D, Koutros, Stella, Pronk, Anjoeka, Colt, Joanne S, Baris, Dalsu, Karagas, Margaret R, Malats, Nuria, Schwenn, Molly, Johnson, Alison, Armenti, Karla R, Rothman, Nathanial, Stewart, Patricia A, Kogevinas, Manolis, Silverman, Debra T, LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-I&I RA, dIRAS RA-2, Friesen, Melissa C, Wheeler, David C, Vermeulen, Roel, Locke, Sarah J, Zaebst, Dennis D, Koutros, Stella, Pronk, Anjoeka, Colt, Joanne S, Baris, Dalsu, Karagas, Margaret R, Malats, Nuria, Schwenn, Molly, Johnson, Alison, Armenti, Karla R, Rothman, Nathanial, Stewart, Patricia A, Kogevinas, Manolis, and Silverman, Debra T

Published
2016

14. Host Genetic Variation in the Cell Cycle and NF-κB Pathways and Overall Survival in Mantle Cell Lymphoma.

Author

Habermann, Thomas M., primary, Maurer, Matthew J., primary, Wang, Sophia S., primary, Morton, Lindsay M., primary, Lynch, Charles F., primary, Hartge, Patricia, primary, Cozen, Wendy, primary, Severson, Richard K., primary, Scott, Davis, primary, Watson, David A., primary, Chanock, Stephen J., primary, Rothman, Nathanial, primary, and Cerhan, James R., primary

Published
2007
Full Text
View/download PDF

15. Family History and the Risk of Kidney Cancer: a Multicenter Case-control Study in Central Europe

Author

Hung, Rayjean J., primary, Moore, Lee, additional, Boffetta, Paolo, additional, Feng, Bing-Jian, additional, Toro, Jorge R., additional, Rothman, Nathanial, additional, Zaridze, David, additional, Navratilova, Marie, additional, Bencko, Vladimir, additional, Janout, Vladimir, additional, Kollarova, Helena, additional, Szeszenia-Dabrowska, Neonila, additional, Mates, Dana, additional, Chow, Wong-Ho, additional, and Brennan, Paul, additional

Published
2007
Full Text
View/download PDF

17. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia.

Author

Law PJ, Berndt SI, Speedy HE, Camp NJ, Sava GP, Skibola CF, Holroyd A, Joseph V, Sunter NJ, Nieters A, Bea S, Monnereau A, Martin-Garcia D, Goldin LR, Clot G, Teras LR, Quintela I, Birmann BM, Jayne S, Cozen W, Majid A, Smedby KE, Lan Q, Dearden C, Brooks-Wilson AR, Hall AG, Purdue MP, Mainou-Fowler T, Vajdic CM, Jackson GH, Cocco P, Marr H, Zhang Y, Zheng T, Giles GG, Lawrence C, Call TG, Liebow M, Melbye M, Glimelius B, Mansouri L, Glenn M, Curtin K, Diver WR, Link BK, Conde L, Bracci PM, Holly EA, Jackson RD, Tinker LF, Benavente Y, Boffetta P, Brennan P, Maynadie M, McKay J, Albanes D, Weinstein S, Wang Z, Caporaso NE, Morton LM, Severson RK, Riboli E, Vineis P, Vermeulen RC, Southey MC, Milne RL, Clavel J, Topka S, Spinelli JJ, Kraft P, Ennas MG, Summerfield G, Ferri GM, Harris RJ, Miligi L, Pettitt AR, North KE, Allsup DJ, Fraumeni JF, Bailey JR, Offit K, Pratt G, Hjalgrim H, Pepper C, Chanock SJ, Fegan C, Rosenquist R, de Sanjose S, Carracedo A, Dyer MJ, Catovsky D, Campo E, Cerhan JR, Allan JM, Rothman N, Houlston R, and Slager S

Subjects
Adult, B-Lymphocytes immunology, B-Lymphocytes physiology, Case-Control Studies, Chromosome Mapping, Female, Genome-Wide Association Study, Humans, Leukemia, Lymphocytic, Chronic, B-Cell immunology, Male, Middle Aged, Polymorphism, Single Nucleotide, Young Adult, Antibody Formation genetics, Chromosomes, Human genetics, Genetic Predisposition to Disease, Leukemia, Lymphocytic, Chronic, B-Cell genetics
Abstract

Several chronic lymphocytic leukaemia (CLL) susceptibility loci have been reported; however, much of the heritable risk remains unidentified. Here we perform a meta-analysis of six genome-wide association studies, imputed using a merged reference panel of 1,000 Genomes and UK10K data, totalling 6,200 cases and 17,598 controls after replication. We identify nine risk loci at 1p36.11 (rs34676223, P=5.04 × 10 -13 ), 1q42.13 (rs41271473, P=1.06 × 10 -10 ), 4q24 (rs71597109, P=1.37 × 10 -10 ), 4q35.1 (rs57214277, P=3.69 × 10 -8 ), 6p21.31 (rs3800461, P=1.97 × 10 -8 ), 11q23.2 (rs61904987, P=2.64 × 10 -11 ), 18q21.1 (rs1036935, P=3.27 × 10 -8 ), 19p13.3 (rs7254272, P=4.67 × 10 -8 ) and 22q13.33 (rs140522, P=2.70 × 10 -9 ). These new and established risk loci map to areas of active chromatin and show an over-representation of transcription factor binding for the key determinants of B-cell development and immune response., Competing Interests: The authors declare no competing financial interests.

Published
2017
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results