288 results on '"Curtin, K"'
Search Results
52. Detection of Occult Esophageal Narrowing with a Barium Tablet During Chest Radiography
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Ghahremani, G. G., Weingardt, J. P., Curtin, K. R., and Yaghmai, V.
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- 1996
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53. Drugs, Violence, and Development in Colombia: A Department-Level Analysis
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Holmes, Jennifer S, Amin Gutierrez de Pineres, Sheila, and Curtin, Kevin M
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- 2006
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54. Preface
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Curtin, Kathleen
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- 2012
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55. CIVIL DEFENSE COMMUNICATIONS RESEARCH. TASK 7. OCD WORK UNIT NUMBER 2211B.
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RADIO CORP OF AMERICA NEW YORK COMMUNICATIONS SYSTEMS DIV, Curtin, K., Siegel, L., RADIO CORP OF AMERICA NEW YORK COMMUNICATIONS SYSTEMS DIV, Curtin, K., and Siegel, L.
- Abstract
The concept is developed for analyzing and evaluating the evolving Civil Defense Communications System through periodic system evaluation exercises. A feasible method is presented for measuring operational capabilities using obtainable information about system characteristics, operational environments, and user needs. Appropriate criteria of system effectiveness are specified to allow selection of 'optimum' system configurations and to provide the basis for evaluation of future systems and techniques for possible inclusion in the Civil Defense Communication System. (Author), Prepared in cooperation with Stanford Research Inst., Menlo Park, Calif.
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- 1965
56. Unraveling the ventilator bundle: improving outcomes in patients requiring mechanical ventilation.
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Bishop C, Curtin K, Warren M, Stewart E, and Treige N
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- 2006
57. Temporally regulated nuclear entry of the Drosophila period protein contributes to the circadian clock
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CURTIN, K
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- 1995
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58. Genetically Determined Height and Risk of Non-hodgkin Lymphoma
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Amy Moore, Eleanor Kane, Zhaoming Wang, Orestis A. Panagiotou, Lauren R. Teras, Alain Monnereau, Nicole Wong Doo, Mitchell J. Machiela, Christine F. Skibola, Susan L. Slager, Gilles Salles, Nicola J. Camp, Paige M. Bracci, Alexandra Nieters, Roel C. H. Vermeulen, Joseph Vijai, Karin E. Smedby, Yawei Zhang, Claire M. Vajdic, Wendy Cozen, John J. Spinelli, Henrik Hjalgrim, Graham G. Giles, Brian K. Link, Jacqueline Clavel, Alan A. Arslan, Mark P. Purdue, Lesley F. Tinker, Demetrius Albanes, Giovanni M. Ferri, Thomas M. Habermann, Hans-Olov Adami, Nikolaus Becker, Yolanda Benavente, Simonetta Bisanzi, Paolo Boffetta, Paul Brennan, Angela R. Brooks-Wilson, Federico Canzian, Lucia Conde, David G. Cox, Karen Curtin, Lenka Foretova, Susan M. Gapstur, Hervé Ghesquières, Martha Glenn, Bengt Glimelius, Rebecca D. Jackson, Qing Lan, Mark Liebow, Marc Maynadie, James McKay, Mads Melbye, Lucia Miligi, Roger L. Milne, Thierry J. Molina, Lindsay M. Morton, Kari E. North, Kenneth Offit, Marina Padoan, Alpa V. Patel, Sara Piro, Vignesh Ravichandran, Elio Riboli, Silvia de Sanjose, Richard K. Severson, Melissa C. Southey, Anthony Staines, Carolyn Stewart, Ruth C. Travis, Elisabete Weiderpass, Stephanie Weinstein, Tongzhang Zheng, Stephen J. Chanock, Nilanjan Chatterjee, Nathaniel Rothman, Brenda M. Birmann, James R. Cerhan, Sonja I. Berndt, Moore A., Kane E., Wang Z., Panagiotou O.A., Teras L.R., Monnereau A., Wong Doo N., Machiela M.J., Skibola C.F., Slager S.L., Salles G., Camp N.J., Bracci P.M., Nieters A., Vermeulen R.C.H., Vijai J., Smedby K.E., Zhang Y., Vajdic C.M., Cozen W., Spinelli J.J., Hjalgrim H., Giles G.G., Link B.K., Clavel J., Arslan A.A., Purdue M.P., Tinker L.F., Albanes D., Ferri G.M., Habermann T.M., Adami H.-O., Becker N., Benavente Y., Bisanzi S., Boffetta P., Brennan P., Brooks-Wilson A.R., Canzian F., Conde L., Cox D.G., Curtin K., Foretova L., Gapstur S.M., Ghesquieres H., Glenn M., Glimelius B., Jackson R.D., Lan Q., Liebow M., Maynadie M., McKay J., Melbye M., Miligi L., Milne R.L., Molina T.J., Morton L.M., North K.E., Offit K., Padoan M., Patel A.V., Piro S., Ravichandran V., Riboli E., de Sanjose S., Severson R.K., Southey M.C., Staines A., Stewart C., Travis R.C., Weiderpass E., Weinstein S., Zheng T., Chanock S.J., Chatterjee N., Rothman N., Birmann B.M., Cerhan J.R., and Berndt S.I.
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0301 basic medicine ,Oncology ,Cancer Research ,medicine.medical_specialty ,Chronic lymphocytic leukemia ,Follicular lymphoma ,diffuse large B-cell lymphoma ,Single-nucleotide polymorphism ,Genome-wide association study ,lcsh:RC254-282 ,03 medical and health sciences ,0302 clinical medicine ,follicular lymphoma ,immune system diseases ,Internal medicine ,hemic and lymphatic diseases ,Genetics ,Medicine ,Leucèmia limfocítica crònica ,genetics ,Original Research ,Genetic association ,Cancer och onkologi ,business.industry ,non-Hodgkin lymphoma ,Odds ratio ,medicine.disease ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,marginal zone lymphoma ,Lymphoma ,Malaltia de Hodgkin ,030104 developmental biology ,Cancer and Oncology ,030220 oncology & carcinogenesis ,polygenic risk score ,diffuse large B-celllymphoma ,chronic lymphocytic leukemia ,Hodgkin's disease ,genetic ,business ,Diffuse large B-cell lymphoma ,Genètica ,height - Abstract
Although the evidence is not consistent, epidemiologic studies have suggested that taller adult height may be associated with an increased risk of some non-Hodgkin lymphoma (NHL) subtypes. Height is largely determined by genetic factors, but how these genetic factors may contribute to NHL risk is unknown. We investigated the relationship between genetic determinants of height and NHL risk using data from eight genome-wide association studies (GWAS) comprising 10,629 NHL cases, including 3,857 diffuse large B-cell lymphoma (DLBCL), 2,847 follicular lymphoma (FL), 3,100 chronic lymphocytic leukemia (CLL), and 825 marginal zone lymphoma (MZL) cases, and 9,505 controls of European ancestry. We evaluated genetically predicted height by constructing polygenic risk scores using 833 height-associated SNPs. We used logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for association between genetically determined height and the risk of four NHL subtypes in each GWAS and then used fixed-effect meta-analysis to combine subtype results across studies. We found suggestive evidence between taller genetically determined height and increased CLL risk (OR = 1.08, 95% CI = 1.00–1.17, p = 0.049), which was slightly stronger among women (OR = 1.15, 95% CI: 1.01–1.31, p = 0.036). No significant associations were observed with DLBCL, FL, or MZL. Our findings suggest that there may be some shared genetic factors between CLL and height, but other endogenous or environmental factors may underlie reported epidemiologic height associations with other subtypes.
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- 2020
59. Genetic overlap between autoimmune diseases and non-Hodgkin lymphoma subtypes
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Paul Brennan, M. G. Ennas, Qing Lan, Sasha Bernatsky, Alan A. Arslan, Peter Kraft, Lohith Madireddy, Roel Vermeulen, Kenan Onel, Graham G. Giles, John J. Spinelli, Eleanor Kane, Bengt Glimelius, Alexandra Nieters, David V. Conti, Christine F. Skibola, Pouya Khankhanian, Amy Moore, Ruth C. Travis, Mads Melbye, Sonja I. Berndt, Mark Liebow, Lauren R. Teras, Pierluigi Cocco, Lennox Din, Alain Monnereau, Mark P. Purdue, Lenka Foretova, Stephen J. Chanock, Stephen M. Ansell, Angela Brooks-Wilson, Wendy Cozen, Kenneth Offit, Demetrius Albanes, Anne J. Novak, Melissa C. Southey, Paolo Boffetta, Nicola J. Camp, James R. Cerhan, Rudolph Kaaks, Silvia de Sanjosé, Karen Curtin, Sophia S. Wang, James McKay, Nicole Wong Doo, Hans-Olov Adami, Tongzhang Zheng, Claire M. Vajdic, Nisha Pradhan, Giacomo Muzi, Gilles Salles, Nathaniel Rothman, Yolanda Benavente, Marc Maynadié, Brian K. Link, Delphine Casabonne, Hervé Ghesquières, Joseph Vijai, Karin E. Smedby, Paige M. Bracci, David G. Cox, Brenda M. Birmann, Lucia Miligi, Carolyn Stewart, Lucia Conde, Leonid Padyukov, Eve Roman, Richard K. Severson, Jorge R. Oksenberg, Immaculata De Vivo, Yawei Zhang, Corrado Magnani, Jacqueline Clavel, Lindsay M. Morton, Corinne Haioun, Jonathan N. Hofmann, Karen H. Costenbader, Pierre-Antoine Gourraud, Mohammad Sheikh, Stephanie J. Weinstein, Susan L. Slager, Paolo Vineis, Nikitha Kosaraju, Zachary Taub, Henrik Hjalgrim, Roger L. Milne, Morris Din, Martha Glenn, Nikolaus Becker, Timothy J. Vyse, Thomas M. Mack, Anthony Staines, Department of Medicine, Clinical Epidemiology, McGill University Health Center [Montreal] (MUHC), National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Emory University [Atlanta, GA], Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany, International Agency for Cancer Research (IACR), Department of Public Health, Vientiane Municipality, Registre des hémopathies malignes de Côte d'Or, Masaryk Memorial Cancer Institute and Medical Faculty of Masaryk University, GRAPHOS - IFROSS Recherche, Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon, Faculty of Medicine, Section of Rheumatology, Imperial College London, Karolinska Institutet [Stockholm], Epidémiologie environnementale des cancers, Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Chemistry and Biochemistry [Boulder], University of Colorado [Boulder], Uppsala Universitet [Uppsala], Carver College of Medicine, University of Iowa, Service d'hématologie clinique, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Division of Cancer Epidemiology and Genetics, National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), Health Sciences, University of York [York, UK], Service de Radio-Oncologie [Lyon], Hospices Civils de Lyon (HCL)-Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL), University of Melbourne, Centre Léon Bérard [Lyon], Mayo Clinic [Rochester], Occupational and Environmental Epidemiology Branch [Bethesda, Maryland], Division of Cancer Epidemiology and Genetics [Bethesda, Maryland], National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH)-National Cancer Institute [Bethesda] (NCI-NIH), Memorial Sloane Kettering Cancer Center [New York], Huntsman Cancer Institute, Clinical Genetics Service, ISPO - Cancer Prevention and Research Institute, Unit of Environmental and Occupational Epidemiology, Dept. of Epidemiology Research, Statens Serum Institut [Copenhagen], B.B. Brodie Department of Neuroscience, Department of Pathology, Division of Cancer Epidemiology, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Unit of Environment Cancer Epidemiology, IARC, University of Torino and CPO-Piemonte, Università degli studi di Torino (UNITO), Department of Epidemiology, Harvard School of Public Health, Wayne State University [Detroit], Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Cancer Epidemiology Centre, Cancer Council Victoria, Cancer Epidemiology Unit, University of Oxford [Oxford], De la Molécule aux Nanos-objets : Réactivité, Interactions et Spectroscopies (MONARIS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Catalan Institute of Oncology (ICO), Department of Neurology [San Francisco, CA, USA], University of California [San Francisco] (UCSF), University of California-University of California, Norris Comprehensive Cancer Center, Masaryk University [Brno] (MUNI), Università degli studi di Torino = University of Turin (UNITO), University of California [San Francisco] (UC San Francisco), University of California (UC)-University of California (UC), Imperial College London, University of Oxford, Din L., Sheikh M., Kosaraju N., Smedby K.E., Bernatsky S., Berndt S.I., Skibola C.F., Nieters A., Wang S., McKay J.D., Cocco P., Maynadie M., Foretova L., Staines A., Mack T.M., de Sanjose S., Vyse T.J., Padyukov L., Monnereau A., Arslan A.A., Moore A., Brooks-Wilson A.R., Novak A.J., Glimelius B., Birmann B.M., Link B.K., Stewart C., Vajdic C.M., Haioun C., Magnani C., Conti D.V., Cox D.G., Casabonne D., Albanes D., Kane E., Roman E., Muzi G., Salles G., Giles G.G., Adami H.-O., Ghesquieres H., De Vivo I., Clavel J., Cerhan J.R., Spinelli J.J., Hofmann J., Vijai J., Curtin K., Costenbader K.H., Onel K., Offit K., Teras L.R., Morton L., Conde L., Miligi L., Melbye M., Ennas M.G., Liebow M., Purdue M.P., Glenn M., Southey M.C., Din M., Rothman N., Camp N.J., Wong Doo N., Becker N., Pradhan N., Bracci P.M., Boffetta P., Vineis P., Brennan P., Kraft P., Lan Q., Severson R.K., Vermeulen R.C.H., Milne R.L., Kaaks R., Travis R.C., Weinstein S.J., Chanock S.J., Ansell S.M., Slager S.L., Zheng T., Zhang Y., Benavente Y., Taub Z., Madireddy L., Gourraud P.-A., Oksenberg J.R., Cozen W., Hjalgrim H., Khankhanian P., and Le Bihan, Sylvie
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Oncology ,Male ,Multifactorial Inheritance ,Lymphoma ,Epidemiology ,Chronic lymphocytic leukemia ,Follicular lymphoma ,Genome-wide association study ,Disease ,Neurodegenerative ,meta-analysi ,immune system diseases ,HLA Antigens ,Risk Factors ,hemic and lymphatic diseases ,2.1 Biological and endogenous factors ,HLA Antigen ,Aetiology ,Genetics (clinical) ,Cancer ,Allele ,0303 health sciences ,[SDV.MHEP] Life Sciences [q-bio]/Human health and pathology ,Lymphoma, Non-Hodgkin ,non-Hodgkin lymphoma ,030305 genetics & heredity ,Single Nucleotide ,Hematology ,Middle Aged ,3. Good health ,Public Health and Health Services ,Female ,Human ,medicine.medical_specialty ,autoimmune disease ,genome-wide association study ,meta-analysis ,Alleles ,Autoimmune Diseases ,Humans ,Polymorphism, Single Nucleotide ,Genetic Predisposition to Disease ,Non-Hodgkin ,Article ,03 medical and health sciences ,Rare Diseases ,Internal medicine ,Genetic variation ,medicine ,Genetics ,Polymorphism ,030304 developmental biology ,Autoimmune disease ,business.industry ,Multiple sclerosis ,Risk Factor ,Arthritis ,Inflammatory and immune system ,Human Genome ,medicine.disease ,Brain Disorders ,business ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology - Abstract
International audience; Epidemiologic studies show an increased risk of non-Hodgkin lymphoma (NHL) in patients with autoimmune disease (AD), due to a combination of shared environmental factors and/or genetic factors, or a causative cascade: chronic inflammation/antigen-stimulation in one disease leads to another. Here we assess shared genetic risk in genome-wide-association-studies (GWAS). Secondary analysis of GWAS of NHL subtypes (chronic lymphocytic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, and marginal zone lymphoma) and ADs (rheumatoid arthritis, systemic lupus erythematosus, and multiple sclerosis). Shared genetic risk was assessed by (a) description of regional genetic of overlap, (b) polygenic risk score (PRS), (c)"diseasome", (d)meta-analysis. Descriptive analysis revealed few shared genetic factors between each AD and each NHL subtype. The PRS of ADs were not increased in NHL patients (nor vice versa). In the diseasome, NHLs shared more genetic etiology with ADs than solid cancers (p = .0041). A meta-analysis (combing AD with NHL) implicated genes of apoptosis and telomere length. This GWAS-based analysis four NHL subtypes and three ADs revealed few weakly-associated shared loci, explaining little total risk. This suggests common genetic variation, as assessed by GWAS in these sample sizes, may not be the primary explanation for the link between these ADs and NHLs.
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- 2019
60. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia
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Law, Philip J, Berndt, Sonja I, Speedy, Helen E, Camp, Nicola J, Sava, Georgina P, Skibola, Christine F, Holroyd, Amy, Vijai, Joseph, Sunter, Nicola J, Nieters, Alexandra, Bea, Silvia, Pettitt, AR, Monnereau, Alain, Martin-Garcia, David, Goldin, Lynn R, Clot, Guillem, Teras, Lauren R, Quintela, Inés, Birmann, Brenda M, Jayne, Sandrine J, 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 CH, 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, Sanjose, Silvia de, Carracedo, Angel, Dyer, Martin JS, Catovsky, Daniel, Campo, Elias, Cerhan, James R, Allan, James M, Rothman, Nathanial, Houlston, Richard, Slager, Susan, Law, P.J., Berndt, S.I., Speedy, H.E., Camp, N.J., Sava, G.P., Skibola, C.F., Holroyd, A., Joseph, V., Sunter, N.J., Nieters, A., Bea, S., Monnereau, A., Martin-Garcia, D., Goldin, L.R., Clot, G., Teras, L.R., Quintela, I., Birmann, B.M., Jayne, S., Cozen, W., Majid, A., Smedby, K.E., Lan, Q., Dearden, C., Brooks-Wilson, A.R., Hall, A.G., Purdue, M.P., Mainou-Fowler, T., Vajdic, C.M., Jackson, G.H., Cocco, P., Marr, H., Zhang, Y., Zheng, T., Giles, G.G., Lawrence, C., Call, T.G., Liebow, M., Melbye, M., Glimelius, B., Mansouri, L., Glenn, M., Curtin, K., Diver, W.R., Link, B.K., Conde, L., Bracci, P.M., Holly, E.A., Jackson, R.D., Tinker, L.F., Benavente, Y., Boffetta, P., Brennan, P., Maynadie, M., McKay, J., Albanes, D., Weinstein, S., Wang, Z., Caporaso, N.E., Morton, L.M., Severson, R.K., Riboli, E., Vineis, P., Vermeulen, R.C.H., Southey, M.C., Milne, R.L., Clavel, J., Topka, S., Spinelli, J.J., Kraft, P., Ennas, M.G., Summerfield, G., Ferri, G.M., Harris, R.J., Miligi, L., Pettitt, A.R., North, K.E., Allsup, D.J., Fraumeni, J.F., Jr., Bailey, J.R., Offit, K., Pratt, G., Hjalgrim, H., Pepper, C., Chanock, S.J., Fegan, C., Rosenquist, R., De Sanjose, S., Carracedo, A., Dyer, M.J.S., Catovsky, D., Campo, E., Cerhan, J.R., Allan, J.M., Rothman, N., Houlston, R., and Slager, S.
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Lymphocytic leukaemia - Abstract
Several chronic 14175 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.
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- 2017
61. Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes
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Henrik Hjalgrim, Joseph Vijai, Bengt Glimelius, Kimberly A. Bertrand, Immaculata De Vivo, Eve Roman, Martha Glenn, Nathaniel Rothman, Yolanda Benavente, Zhaoming Wang, Ju-Hyun Park, Anneclaire J. De Roos, John J. Spinelli, Demetrius Albanes, Paul Brennan, Emanuele Angelucci, Mariagrazia Zucca, Qing Lan, Kari E. North, Paige M. Bracci, Mark P. Purdue, Marco Rais, Melissa C. Southey, Alain Monnereau, Ahmet Dogan, Graham G. Giles, Robert J. Klein, Peter Kraft, Lesley F. Tinker, Laurie Burdett, Lucia Conde, Carrie A. Thompson, James McKay, Martyn T. Smith, Göran Roos, Yan W. Asmann, Dennis D. Weisenburger, Elizabeth A. Holly, Thomas E. Witzig, Liming Liang, Paul I.W. de Bakker, Alex Smith, Jarmo Virtamo, Charles E. Lawrence, Patricia Hartge, Karen Curtin, Anthony Staines, Nikolaus Becker, Nicola J. Camp, Charles C. Chung, Degui Zhi, Brenda M. Birmann, W. Ryan Diver, Roel Vermeulen, Sonja I. Berndt, Tongzhang Zheng, Silvia de Sanjosé, Eleanor Kane, James R. Cerhan, Christopher R. Flowers, Joseph F. Fraumeni, Stephen J. Chanock, Stephen M. Ansell, Angela Brooks-Wilson, Kenneth Offit, Jinyan Huang, Mads Melbye, Edward Giovannucci, Baoshan Ma, Tracy Lightfoot, Brian K. Link, Richard K. Severson, Theodore R. Holford, Yawei Zhang, Anne Tjønneland, Meredith Yeager, Wendy Cozen, Anne J. Novak, Lauren R. Teras, Claire M. Vajdic, Lisa A. Cannon-Albright, Lenka Foretova, Christine F. Skibola, Sophia S. Wang, Hans-Olov Adami, Andrew D. Zelenetz, Jenny Turner, Paolo Vineis, Corinne Haioun, Hervé Tilly, Anne Zeleniuch-Jacquotte, Thomas M. Habermann, Paolo Boffetta, Jacqueline Clavel, Herve Ghesquieres, Stephanie J. Weinstein, Lindsay M. Morton, Susan L. Slager, Simon Crouch, Gilles Salles, Rachel S. Kelly, Karin E. Smedby, Amy Hutchinson, David G. Cox, Elio Riboli, Jacques Riby, Rebecca D. Jackson, Mark Liebow, Thierry Jo Molina, Danylo J. Villano, Marc Maynadie, Yuanqing Ye, Heiner Boeing, Jian Gu, Brian C.-H. Chiu, Simonetta Di Lollo, Mitchell J. Machiela, Alexandra Nieters, Xifeng Wu, Rudolph Kaaks, Machiela, M.J., Lan, Q., Slager, S.L., Vermeulen, R.C.H., Teras, L.R., Camp, N.J., Cerhan, J.R., Spinelli, J.J., Wang, S.S., Nieters, A., Vijai, J., Yeager, M., Wang, Z., Ghesquières, H., McKay, J., Conde, L., de Bakker, P.I.W., Cox, D.G., Burdett, L., Monnereau, A., Flowers, C.R., De Roos, A.J., Brooks-Wilson, A.R., Giles, G.G., Melbye, M., Gu, J., Jackson, R.D., Kane, E., Purdue, M.P., Vajdic, C.M., Albanes, D., Kelly, R.S., Zucca, M., Bertrand, K.A., Zeleniuch-Jacquotte, A., Lawrence, C., Hutchinson, A., Zhi, D., Habermann, T.M., Link, B.K., Novak, A.J., Dogan, A., Asmann, Y.W., Liebow, M., Thompson, C.A., Ansell, S.M., Witzig, T.E., Tilly, H., Haioun, C., Molina, T.J., Hjalgrim, H., Glimelius, B., Adami, H.-O., Roos, G., Bracci, P.M., Riby, J., Smith, M.T., Holly, E.A., Cozen, W., Hartge, P., Morton, L.M., Severson, R.K., Tinker, L.F., North, K.E., Becker, N., Benavente, Y., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Staines, A., Lightfoot, T., Crouch, S., Smith, A., Roman, E., Ryan Diver, W., Offit, K., Zelenetz, A., Klein, R.J., Villano, D.J., Zheng, T., Zhang, Y., Holford, T.R., Turner, J., Southey, M.C., Clavel, J., Virtamo, J., Weinstein, S., Riboli, E., Vineis, P., Kaaks, R., Boeing, H., Tjønneland, A., Angelucci, E., Di Lollo, S., Rais, M., De Vivo, I., Giovannucci, E., Kraft, P., Huang, J., Ma, B., Ye, Y., Chiu, B.C.H., Liang, L., Park, J.-H., Chung, C.C., Weisenburger, D.D., Fraumeni, J.F., Jr and Salles, G., Glenn, M., Cannon-Albright, L., Curtin, K., Wu, X., Smedby, K.E., de Sanjose, S., Skibola, C.F., Berndt, S.I., Birmann, B.M., Chanock, S.J., Rothman, N., LS IRAS EEPI GRA (Gezh.risico-analyse), Sub Atmospheric physics and chemistry, dIRAS RA-I&I RA, dIRAS RA-2, Service d’Hématologie [Centre Hospitalier Lyon Sud - HCL], Centre Hospitalier Lyon Sud [CHU - HCL] ( CHLS ), Hospices Civils de Lyon ( HCL ) -Hospices Civils de Lyon ( HCL ), Centre de Recherche en Cancérologie de Lyon ( CRCL ), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Cancer environnement ( EPICENE ), Bordeaux population health ( BPH ), Université de Bordeaux ( UB ) -Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Bordeaux ( UB ) -Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Registre des hémopathies malignes de la Gironde, Institut Bergonié - CRLCC Bordeaux, Department of Agronomy, University of Wisconsin-Madison [Madison], Service hématologie Poitiers, CHU, Service d'hématologie clinique, Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ), Université Paris Descartes - Paris 5 ( UPD5 ), Oslo and Akershus University College ( OAUC ), Laboratoire de mécanique Biomécanique Polymère Structures ( LaBPS ), Université de Lorraine ( UL ), The Tisch Cancer Institute, Mount Sinai School of Medicine, International Agency for Cancer Research ( IACR ), International Agency for Cancer Research, Registre des hémopathies malignes de Côte d'Or, Centre d'épidémiologie des populations ( CEP ), Université de Bourgogne ( UB ) -Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), University of Chicago Medicine, Institut National de la Santé et de la Recherche Médicale ( INSERM ), French National Registry of Childhood Hematological malignancies (NRCH), NRCH, Division of Epidemiology, Public Health and Primary Care, Imperial College London, Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Department of Epidemiology and Public Health, Department Cancer Epidemiology, German Cancer Research Center, Institute of Human Nutrition Potsdam-Rehbruecke, Diet, Cancer and Health, Danish Cancer Society, Justus Liebig University Giessen, Sino French Research Center for Biomedical Imaging ( HIT-INSA ), Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Harbin Institute of Technology ( HIT ), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Chinese Academy of Sciences [Beijing] ( CAS ), Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Cancer environnement (EPICENE ), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Bergonié [Bordeaux], UNICANCER-UNICANCER, University of Wisconsin-Madison, Centre hospitalier universitaire de Poitiers (CHU Poitiers), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Université Paris Descartes - Paris 5 (UPD5), Akershus University College, Laboratoire de mécanique Biomécanique Polymère Structures (LaBPS), Université de Lorraine (UL), Icahn School of Medicine at Mount Sinai [New York] (MSSM), International Agency for Cancer Research (IACR), Centre d'épidémiologie des populations (CEP), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), Institut National de la Santé et de la Recherche Médicale (INSERM), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DifE), Leibniz Association, Justus-Liebig-Universität Gießen (JLU), Sino French Research Center for Biomedical Imaging (HIT-INSA), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Harbin Institute of Technology (HIT), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Chinese Academy of Sciences [Beijing] (CAS), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Università degli studi di Torino = University of Turin (UNITO), Justus-Liebig-Universität Gießen = Justus Liebig University (JLU), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Harbin Institute of Technology (HIT), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Cancérologie de Lyon (CRCL), Université de Lyon-Université de Lyon-Centre Léon Bérard [Lyon]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Oslo and Akershus University College (OAUC), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc (CRLCC - CGFL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL)
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0301 basic medicine ,Serum ,Male ,Lymphoma ,analysis ,Chronic lymphocytic leukemia ,Follicular lymphoma ,Global Health ,[ SDV.CAN ] Life Sciences [q-bio]/Cancer ,immunology ,surgery ,0302 clinical medicine ,Endocrinology ,immune system diseases ,single nucleotide polymorphism ,Germany ,hemic and lymphatic diseases ,London ,80 and over ,Odds Ratio ,genetics ,Prospective Studies ,B-cell lymphoma ,Association Studies Article ,Genetics (clinical) ,Aged, 80 and over ,education.field_of_study ,telomere ,Genome ,Leukemia ,Age Factors ,General Medicine ,Environmental exposure ,Genomics ,Middle Aged ,b-cell lymphoma ,small cell lymphoma ,Italy ,030220 oncology & carcinogenesis ,Medicine ,epidemiology ,Female ,France ,Risk of B-cell lymphoma subtypes ,Risk ,Adult ,Canada ,China ,Lymphoma, B-Cell ,Genotype ,Adolescent ,leukocytes ,etiology ,Population ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,Biology ,Environment ,Risk Assessment ,methods ,Time ,03 medical and health sciences ,medicine ,Humans ,Family ,Genetic Predisposition to Disease ,education ,Molecular Biology ,Alleles ,Occupational Health ,Genetic Association Studies ,Aged ,B-Cell ,International Agencies ,Odds ratio ,Environmental Exposure ,medicine.disease ,Telomere ,Non-Hodgkin's lymphoma ,030104 developmental biology ,Immunology ,physiology ,Chronic Disease ,pathology ,Laboratories ,metabolism - Abstract
International audience; Evidence from a small number of studies suggests that longer telomere length measured in peripheral leukocytes is associated with an increased risk of non-Hodgkin lymphoma (NHL). However, these studies may be biased by reverse causation, confounded by unmeasured environmental exposures and might miss time points for which prospective telomere measurement would best reveal a relationship between telomere length and NHL risk. We performed an analysis of genetically inferred telomere length and NHL risk in a study of 10 102 NHL cases of the four most common B-cell histologic types and 9562 controls using a genetic risk score (GRS) comprising nine telomere length-associated single-nucleotide polymorphisms. This approach uses existing genotype data and estimates telomere length by weighing the number of telomere length-associated variant alleles an individual carries with the published change in kb of telomere length. The analysis of the telomere length GRS resulted in an association between longer telomere length and increased NHL risk [four B-cell histologic types combined; odds ratio (OR) = 1.49, 95% CI 1.22-1.82,P-value = 8.5 x 10(-5)]. Subtype-specific analyses indicated that chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL) was the principal NHL subtype contributing to this association (OR = 2.60, 95% CI 1.93-3.51,P-value = 4.0 x 10(-10)). Significant interactions were observed across strata of sex for CLL/SLL and marginal zone lymphoma subtypes as well as age for the follicular lymphoma subtype. Our results indicate that a genetic background that favors longer telomere length may increase NHL risk, particularly risk of CLL/SLL, and are consistent with earlier studies relating longer telomere length with increased NHL risk
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- 2016
62. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia
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Nathaniel Rothman, Yolanda Benavente, Paul Brennan, Qing Lan, Pierluigi Cocco, Simon Crouch, Anneclaire J. De Roos, Josh Wright, Christine F. Skibola, Mark P. Purdue, Elisabete Weiderpass, James R. Cerhan, Randy D. Gascoyne, Maria Grazia Ennas, Kari E. North, Zhaoming Wang, Jinyan Huang, Julie M. Cunningham, Alain Monnereau, Peter Kraft, Patricia Hartge, Edward Giovannucci, Karen Curtin, Giovanna Masala, Jacqueline Clavel, Neil E. Kay, Jacques Riby, María Dolores Chirlaque, John J. Spinelli, Delphine Casabonne, Jenny Turner, Lucia Conde, Lesley F. Tinker, Martha Glenn, Sara S. Strom, Donna K. Arnett, Rebecca Montalvan, Ju-Hyun Park, Melissa C. Southey, Ann Maria, Karin E. Smedby, Lindsay M. Morton, Marc Maynadié, Laurie Burdett, Amy Hutchinson, Bengt Glimelius, W. Ryan Diver, Elio Riboli, Sonja I. Berndt, Lisa A. Cannon-Albright, Kimberly A. Bertrand, Aaron D. Norman, Sara J. Achenbach, Celine M. Vachon, Angela Cox, Xifeng Wu, Theodore R. Holford, Neil E. Caporaso, Joseph F. Fraumeni, Roel Vermeulen, Rudolph Kaaks, Mads Melbye, Joseph Vijai, Kari G. Chaffee, Lauren R. Teras, Rebecca D. Jackson, Lenka Foretova, J. Brice Weinberg, Paige M. Bracci, Sophia S. Wang, Demetrius Albanes, Stephen J. Chanock, Wendy Cozen, Mark Liebow, Anne J. Novak, Hans-Olov Adami, George J. Weiner, Angela Brooks-Wilson, Kenneth Offit, Anne Kricker, Claire M. Vajdic, James McKay, Ellen T. Chang, Baoshan Ma, Cristine Allmer, Susan L. Slager, Brian K. Link, Elizabeth A. Holly, Anthony Staines, Liming Liang, Jarmo Virtamo, Timothy G. Call, Nicola J. Camp, Ruth C. Travis, Alexandra Nieters, Degui Zhi, Brenda M. Birmann, Tait D. Shanafelt, Rachel S. Kelly, Graham G. Giles, Nilanjan Chatterjee, John A. Snowden, Yuanqing Ye, Núria Sala, Tongzhang Zheng, Paolo Boffetta, Lynn R. Goldin, Danylo J. Villano, Jose F. Leis, Paolo Vineis, Lucia Miligi, Jian Gu, Justin M. Leach, Silvia de Sanjosé, Richard K. Severson, Yawei Zhang, Henrik Hjalgrim, Roger L. Milne, Charles E. Lawrence, Meredith Yeager, Moara Machado, Nikolaus Becker, Joseph M. Connors, Anne Zeleniuch-Jacquotte, Giovanni Maria Ferri, Stephanie J. Weinstein, LS IRAS EEPI GRA (Gezh.risico-analyse), Sub Atmospheric physics and chemistry, dIRAS RA-I&I RA, dIRAS RA-2, Berndt, S.I., Camp, N.J., Skibola, C.F., Vijai, J., Wang, Z., Gu, J., Nieters, A., Kelly, R.S., Smedby, K.E., Monnereau, A., Cozen, W., Cox, A., Wang, S.S., Lan, Q., Teras, L.R., Machado, M., Yeager, M., Brooks-Wilson, A.R., Hartge, P., Purdue, M.P., Birmann, B.M., Vajdic, C.M., Cocco, P., Zhang, Y., Giles, G.G., Zeleniuch-Jacquotte, A., Lawrence, C., Montalvan, R., Burdett, L., Hutchinson, A., Ye, Y., Call, T.G., Shanafelt, T.D., Novak, A.J., Kay, N.E., Liebow, M., Cunningham, J.M., Allmer, C., Hjalgrim, H., Adami, H.-O., Melbye, M., Glimelius, B., Chang, E.T., Glenn, M., Curtin, K., Cannon-Albright, L.A., Diver, W.R., Link, B.K., Weiner, G.J., Conde, L., Bracci, P.M., Riby, J., Arnett, D.K., Zhi, D., Leach, J.M., Holly, E.A., Jackson, R.D., Tinker, L.F., Benavente, Y., Sala, N., Casabonne, D., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., McKay, J., Staines, A., Chaffee, K.G., Achenbach, S.J., Vachon, C.M., Goldin, L.R., Strom, S.S., Leis, J.F., Weinberg, J.B., Caporaso, N.E., Norman, A.D., De Roos, A.J., Morton, L.M., Severson, R.K., Riboli, E., Vineis, P., Kaaks, R., Masala, G., Weiderpass, E., Chirlaque, M.-D., Vermeulen, R.C.H., Travis, R.C., Southey, M.C., Milne, R.L., Albanes, D., Virtamo, J., Weinstein, S., Clavel, J., Zheng, T., Holford, T.R., Villano, D.J., Maria, A., Spinelli, J.J., Gascoyne, R.D., Connors, J.M., Bertrand, K.A., Giovannucci, E., Kraft, P., Kricker, A., Turner, J., Ennas, M.G., Ferri, G.M., Miligi, L., Liang, L., Ma, B., Huang, J., Crouch, S., Park, J.-H., Chatterjee, N., North, K.E., Snowden, J.A., Wright, J., Fraumeni, J.F., Offit, K., Wu, X., De Sanjose, S., Cerhan, J.R., Chanock, S.J., Rothman, N., Slager, S.L., National Cancer Institute ( NIH ), Centre d'épidémiologie des populations ( CEP ), Université de Bourgogne ( UB ) -Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Registre des hémopathies malignes de Côte d'Or, Mayo Clinic [Rochester], National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Centre d'épidémiologie des populations (CEP), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), and UNICANCER-UNICANCER
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0301 basic medicine ,Medicin och hälsovetenskap ,Chronic lymphocytic leukemia ,General Physics and Astronomy ,Genome-wide association study ,VARIANTS ,Medical and Health Sciences ,Malalties hereditàries ,[ SDV.MHEP.HEM ] Life Sciences [q-bio]/Human health and pathology/Hematology ,Chronic ,Genetics ,RISK ,Leukemia ,Multidisciplinary ,BANK1 ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,Bcl-2-Like Protein 11 ,Adaptor Proteins ,[SDV.MHEP.HEM]Life Sciences [q-bio]/Human health and pathology/Hematology ,Single Nucleotide ,Lymphocytic ,3. Good health ,PRIORITIZATION ,Multidisciplinary Sciences ,medicine.anatomical_structure ,Science & Technology - Other Topics ,TRANSCRIPTION FACTOR EOMESODERMIN ,Genetic disorders ,EXPRESSION ,SUSCEPTIBILITY LOCI ,Science ,European Continental Ancestry Group ,FAS GENE-MUTATIONS ,Locus (genetics) ,Biology ,Polymorphism, Single Nucleotide ,General Biochemistry, Genetics and Molecular Biology ,CLASSIFICATION ,White People ,Article ,03 medical and health sciences ,Proto-Oncogene Proteins ,MD Multidisciplinary ,medicine ,Genetic predisposition ,SNP ,Humans ,Leucèmia limfocítica crònica ,Genetic Predisposition to Disease ,Polymorphism ,B cell ,Serpins ,Genetic association ,Adaptor Proteins, Signal Transducing ,Science & Technology ,Signal Transducing ,B-Cell ,Membrane Proteins ,General Chemistry ,medicine.disease ,Leukemia, Lymphocytic, Chronic, B-Cell ,030104 developmental biology ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,Apoptosis Regulatory Proteins ,T-Box Domain Proteins ,FOLLICULAR LYMPHOMA ,Genome-Wide Association Study - Abstract
Chronic lymphocytic leukemia (CLL) is a common lymphoid malignancy with strong heritability. To further understand the genetic susceptibility for CLL and identify common loci associated with risk, we conducted a meta-analysis of four genome-wide association studies (GWAS) composed of 3,100 cases and 7,667 controls with follow-up replication in 1,958 cases and 5,530 controls. Here we report three new loci at 3p24.1 (rs9880772, EOMES, P=2.55 × 10−11), 6p25.2 (rs73718779, SERPINB6, P=1.97 × 10−8) and 3q28 (rs9815073, LPP, P=3.62 × 10−8), as well as a new independent SNP at the known 2q13 locus (rs9308731, BCL2L11, P=1.00 × 10−11) in the combined analysis. We find suggestive evidence (P, Chronic lymphocytic leukemia is a highly inheritable cancer. Here the authors conduct a metaanalysis of four genome-wide association studies and identify three novel loci located near EOMES, SERPINB6 and LPP associated with risk of this disease.
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- 2016
63. Genome-wide association study identifies variants at 16p13 associated with survival in multiple myeloma patients
- Author
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Paige M. Bracci, Celine M. Vachon, Thomas Martin, Shaji Kumar, Daniel J. Serie, Alexandra J. Greenberg, Laura Fejerman, Djordje Atanackovic, Brandt Jones, Federico Canzian, Robert B. Diasio, Vincent Rajkumar, Jeffrey L. Wolf, Blake T. Aftab, Alessandro Martino, Susan L. Slager, Herlander Marques, Donglei Hu, Eric Dean, Marek Dudziński, Martha Glenn, Yi Zhao, Marzena Wątek, Nicola J. Camp, Elad Ziv, Karen Curtin, Adam M. Lee, Juan Sainz, Joaquin Martinez-Lopez, Artur Jurczyszyn, Lisa A. Cannon-Albright, Charles Dumontet, Scott Huntsman, Jennifer L. Caswell-Jin, Annette Juul Vangsted, Daniele Campa, Gabriele Buda, Krzysztof Jamroziak, [Ziv,E, Hu,D, Caswell.Jin,J,H, Fejerman,L, Huntsman,S] Division of General Internal Medicine, Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California USA. [Dean,E] Sutter Medical Center of Santa Rosa, Santa Rosa, California USA. [Martino,A, Campa,D, Canzian,F] Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany. [Serie,D] Division of Biomedical Statistics and Informatics. Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida USA. [Curtin,K, Zhao,Y, Atanackovic,D, Glenn,M, Cannon-Albright,L, Jones,B, Camp,NJ] Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, USA. [Aftalb,B, Martin,T, Wolf,J]Division of Hematology, Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California USA. [Bracci,P] Department of Epidemiology and Biostatistics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California , USA. [Buda,G] Department of Oncology, Transplants and Advanced Technologies, Section of Hematology, Pisa University Hospital, Pisa, Italy. [Diasio,R, Lee,A] Department of Molecular Pharmacology and Experimental Therapeutics, College of Medicine, Mayo Clinic, Rochester, Minnesota USA. [Dumontet,C] INSERM UMR 1052/CNRS 5286, Laboratoire de Cytologie Analytique, Faculte´ de Me´decine Rockefeller, Universite´ Claude Bernard Lyon I, Lyon, France. [Dudzinski,M] Department of Hematology, Rzeszow Regional Hospital, Rzeszow 35-301, Poland. [Greenberg,A] Center for Translational Science Activities, Mayo Clinic, Rochester, Minnesota 55905, USA. [Greenberg,A, Vachon, C] Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA. [Jamroziak,K] Department of Hematology, Medical University of Lodz, Lodz, Poland. [Jurczyszyn,A] Department of Hematology, Cracow University Hospital, Cracow, Poland. [Kumar,S, Rajkumar,V] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA. [Marques,H] Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga , Portugal. [Martinez-Lopez,J] Hematology Service, CRIS facility for Hematological research, Hospital Universitario 12 de Octubre, Universidad Complutense, Madrid, Spain. [Sainz,J] Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, Granada, Spain. Department of Hematology, Virgen de las Nieves University Hospital, Granada, Spain. [Vangsted,AJ] Department of Hematology, Righospitalet and Roskilde Hospital, Copenhagen University, Copenhagen, Denmark. [Watek,M] Department of Hematology, Holycross Cancer Center, Kielce, Poland. [Slager,S] Division of Biomedical Statistics and Informatics. Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota USA., and This work was supported by the Steve and Nancy Grand Multiple Myeloma Translational Initiative and a grant from Expression Analysis and a grant from the National Cancer Institute (R21CA191896). E.Z. is supported in part by a mid-career award in patient research from the National Cancer Institute (K24169004). Collection of blood samples from Polish patients and controls from Łodz area, and DNA extraction was supported by a grant from Polish Ministry of Science and Higher Education (No. NN402178334). DNA extraction from Danish healthy controls was supported by The Research Fund at Region Sjælland, Denmark. The Utah study was supported by LLS 6067–09, CA152336 and CA134674, with data collection made possible, in part, by the Utah Population Database (UPDB) and the Utah Cancer Registry (UCR). Partial support for all data sets within the UPDB is provided by the Huntsman Cancer Institute (HCI) and the HCI Cancer Center Support grant, P30 CA42014. The UCR is supported in part by NIH contract HHSN261201000026C from the NCI SEER Program with additional support from the Utah State Department of Health and the University of Utah.
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Oncology ,medicine.medical_specialty ,tumor ,Ciências da Saúde [Ciências Médicas] ,General Physics and Astronomy ,Genome-wide association study ,Single-nucleotide polymorphism ,Kaplan-Meier Estimate ,Biology ,Bioinformatics ,Polymorphism, Single Nucleotide ,survival ,Article ,General Biochemistry, Genetics and Molecular Biology ,gene expression ,genome ,health risk ,meta-analysis ,polymorphism ,social theory ,Internal medicine ,medicine ,Humans ,Allele ,Gene ,Multiple myeloma ,Science & Technology ,Multidisciplinary ,General Chemistry ,medicine.disease ,Minor allele frequency ,Meta-analysis ,Cohort ,Multiple Myeloma ,Chromosomes, Human, Pair 16 ,Genome-Wide Association Study - Abstract
A corrigendum to this article was published on 09 December 2015: https://doi.org/10.1038/ncomms10203. The corrigendum is also available at: http://hdl.handle.net/1822/62281 This work was supported by the Steve and Nancy Grand Multiple Myeloma Translational Initiative and a grant from Expression Analysis and a grant from the National Cancer Institute (R21CA191896). E.Z. is supported in part by a mid-career award in patient research from the National Cancer Institute (K24169004). Collection of blood samples from Polish patients and controls from Łodz area, and DNA extraction was supported by a grant from Polish Ministry of Science and Higher Education (No. NN402178334).DNA extraction from Danish healthy controls was supported by The Research Fund at Region Sjælland, Denmark. The Utah study was supported by LLS 6067–09, CA152336and CA134674, with data collection made possible, in part, by the Utah Population Database (UPDB) and the Utah Cancer Registry (UCR). Partial support for all data sets within the UPDB is provided by the Huntsman Cancer Institute (HCI) and the HCICancer Center Support grant, P30 CA42014. The UCR is supported in part by NIH contract HHSN261201000026C from the NCI SEER Program with additional support from the Utah State Department of Health and the University of Utah. In Utah, we thank Jathine Wong for support in formatting files and advice on R programming. Several authors (E.Z., N.C., F.C., C.V.) are members of the International Multiple Myeloma Consortium. We are grateful to the leadership and other members of the International Multiple Myeloma Consortium for facilitating this collaborative study.
- Published
- 2015
64. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia
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Roel Vermeulen, Robert J. Klein, Lindsay M. Morton, Lauren R. Teras, John A. Snowden, Angela Brooks-Wilson, Sonja I. Berndt, Pierluigi Cocco, Wendy Cozen, Rebecca D. Jackson, Lenka Foretova, Henrik Hjalgrim, Bruce K. Armstrong, Neil E. Caporaso, Mark P. Purdue, Itziar Salaverria, Anne J. Novak, Elizabeth A. Holly, Anneclaire J. De Roos, Kenneth Offit, Liming Liang, Paolo Vineis, Stephen J. Chanock, Anne Kricker, Sophia S. Wang, Vicki A. Morrison, George J. Weiner, Lesley F. Tinker, Nilanjan Chatterjee, Hans-Olov Adami, Ellen T. Chang, Mark Liebow, Mark C. Lanasa, Lisa A. Cannon-Albright, Andrew D. Zelenetz, Claire M. Vajdic, Sara J. Achenbach, James McKay, Gianluca Severi, Kari E. North, Edward Giovannucci, Rudolf Kaaks, Angela Cox, Karin E. Smedby, Susan L. Slager, Aaron D. Norman, Brian K. Link, Charles E. Lawrence, Amy Hutchinson, Jarmo Virtamo, Kari G. Rabe, Theodore R. Holford, Joshua N. Sampson, Lucia Conde, Timothy G. Call, Alice H. Wang, Julie M. Cunningham, Demetrius Albanes, Nikolaus Becker, Elio Riboli, Alain Monnereau, Francine Laden, Celine M. Vachon, Charles C. Chung, Ruth C. Travis, Brandt Jones, Brenda M. Birmann, Nathaniel Rothman, Yolanda Benavente, Kevin B. Jacobs, Tait D. Shanafelt, Rachel S. Kelly, Anthony Staines, Marc Maynadié, Lucia Miligi, Paul Brennan, Silvia de Sanjosé, Karen Curtin, Tongzhang Zheng, Sílvia Beà, Bengt Glimelius, Elias Campo, W. Ryan Diver, Jeffrey Yuenger, Qing Lan, Peter Kraft, Kimberly A. Bertrand, Laurie Burdette, Martha Glenn, Jenny Turner, J. Brice Weinberg, Ju-Hyun Park, Paolo Boffetta, Jacqueline Clavel, Joseph F. Fraumeni, Martyn T. Smith, Logan G. Spector, Lynn R. Goldin, Mads Melbye, Paige M. Bracci, David Martín-García, Sara S. Strom, Christine F. Skibola, Vijai Joseph, Nicola J. Camp, Dimitrios Trichopoulos, Richard K. Severson, Elisabete Weiderpass, James R. Cerhan, Maria Grazia Ennas, Carlos López-Otín, Yawei Zhang, Jose F. Leis, Angel Carracedo, Graham G. Giles, Patricia Hartge, María Dolores Chirlaque, Zhaoming Wang, Martha S. Linet, John J. Spinelli, Alexandra Nieters, Anne Zeleniuch-Jacquotte, Giovanni Maria Ferri, Stephanie J. Weinstein, Meredith Yeager, Giovanna Masala, Neil E. Kay, Jacques Riby, Simon Crouch, Josh Wright, Berndt, S.I., Skibola, C.F., Joseph, V., Camp, N.J., Nieters, A., Wang, Z., Cozen, W., Monnereau, A., Wang, S.S., Kelly, R.S., Lan, Q., Teras, L.R., Chatterjee, N., Chung, C.C., Yeager, M., Brooks-Wilson, A.R., Hartge, P., Purdue, M.P., Birmann, B.M., Armstrong, B.K., Cocco, P., Zhang, Y., Severi, G., Zeleniuch-Jacquotte, A., Lawrence, C., Burdette, L., Yuenger, J., Hutchinson, A., Jacobs, K.B., Call, T.G., Shanafelt, T.D., Novak, A.J., Kay, N.E., Liebow, M., Wang, A.H., Smedby, K.E., Adami, H.-O., Melbye, M., Glimelius, B., Chang, E.T., Glenn, M., Curtin, K., Cannon-Albright, L.A., Jones, B., Diver, W.R., Link, B.K., Weiner, G.J., Conde, L., Bracci, P.M., Riby, J., Holly, E.A., Smith, M.T., Jackson, R.D., Tinker, L.F., Benavente, Y., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., McKay, J., Staines, A., Rabe, K.G., Achenbach, S.J., Vachon, C.M., Goldin, L.R., Strom, S.S., Lanasa, M.C., Spector, L.G., Leis, J.F., Cunningham, J.M., Weinberg, J.B., Morrison, V.A., Caporaso, N.E., Norman, A.D., Linet, M.S., De Roos, A.J., Morton, L.M., Severson, R.K., Riboli, E., Vineis, P., Kaaks, R., Trichopoulos, D., Masala, G., Weiderpass, E., Chirlaque, M.-D., Vermeulen, R.C.H., Travis, R.C., Giles, G.G., Albanes, D., Virtamo, J., Weinstein, S., Clavel, J., Zheng, T., Holford, T.R., Offit, K., Zelenetz, A., Klein, R.J., Spinelli, J.J., Bertrand, K.A., Laden, F., Giovannucci, E., Kraft, P., Kricker, A., Turner, J., Vajdic, C.M., Ennas, M.G., Ferri, G.M., Miligi, L., Liang, L., Sampson, J., Crouch, S., Park, J.-H., North, K.E., Cox, A., Snowden, J.A., Wright, J., Carracedo, A., Lopez-Otin, C., Bea, S., Salaverria, I., Martin-Garcia, D., Campo, E., Fraumeni Jr., J.F., De Sanjose, S., Hjalgrim, H., Cerhan, J.R., Chanock, S.J., Rothman, N., and Slager, S.L.
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Risk ,Linkage disequilibrium ,Chronic lymphocytic leukemia ,Single-nucleotide polymorphism ,Locus (genetics) ,Genome-wide association study ,Biology ,Polymorphism, Single Nucleotide ,Linkage Disequilibrium ,Article ,Genetics ,medicine ,Humans ,Genetic Predisposition to Disease ,Leucèmia limfocítica crònica ,Genome-wide association studies (GWAS) ,B-cell lymphoma ,chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL) ,Genetic association ,Recombination, Genetic ,Genomics ,medicine.disease ,Leukemia, Lymphocytic, Chronic, B-Cell ,Genòmica ,Leukemia ,Genetic Loci ,Case-Control Studies ,Chromosomes, Human, Pair 2 ,Genome-Wide Association Study - Abstract
Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P = 1.22 × 10-14), 18q21.33 (BCL2, P = 7.76 × 10-11), 11p15.5 (C11orf21, P = 2.15 × 10 -10), 4q25 (LEF1, P = 4.24 × 10-10), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P = 2.50 × 10-9), 9p21.3 (CDKN2B-AS1, P = 1.27 × 10-8), 18q21.32 (PMAIP1, P = 2.51 × 10 -8), 15q15.1 (BMF, P = 2.71 × 10-10) and 2p22.2 (QPCT, P = 1.68 × 10-8), as well as an independent signal at an established locus (2q13, ACOXL, P = 2.08 × 10-18). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P = 5.40 × 10-8) and 5p15.33 (TERT, P = 1.92 × 10-7). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism. © 2013 Nature America, Inc. All rights reserved.
- Published
- 2013
65. Identifiable historic and observable factors may predict progression to exfoliation glaucoma in newly-diagnosed exfoliation patients.
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Curtin K, Stein JD, Stagg BC, Fino N, Conley M, Johnson T, Patil A, Paulson C, Pompoco C, and Wirostko BM
- Abstract
Objective: To identify clinical factors associated with conversion to exfoliation glaucoma (XFG) in exfoliation syndrome (XFS) patients most at risk of progression to XFG within 3 years for increased surveillance and early preventive interventions., Design: A retrospective patient cohort study design was employed., Subjects: A source population of XFS patients 50 years and older was identified from electronic medical records in the Utah Population Database. From this, 487 study patients with one or more dilated eye exams prior to chart-confirmed XFS onset in 2011 or later, and three or more years of subsequent eye exams, were selected for study., Methods: We implemented a binomial linear mixed models with L1-penalized estimation to select variables associated with conversion. Models included a random intercept to account for within-patient correlation for eye-level data. Candidate demographic, lifestyle, systemic and ocular comorbidities data were obtained and diagnoses categorized as binary (history or no history). These potential factors between conversion and non-conversion patients were used in model selection of variables jointly predictive of conversion. Odds ratios and confidence intervals were calculated using the link logit., Main Outcome Measures: To determine the main outcome of conversion to XFG following an index diagnosis of XFS compared with nonconversion within 3 years, clinical records of each subject's left and right eyes were assessed to confirm XFS and date of onset and date of XFG onset, if conversion occurred. Clinical measurements, e.g. intraocular pressure (IOP), cup to disc ratio, provider notes and IOP-lowering procedures and medications were used to corroborate conversion status., Results: Eighteen variables jointly predicted XFG conversion within 3 years correctly in 71% of patient eyes. Odds of conversion was highest for exudative age-related macular degeneration (AMD), 2.3-fold (P=0.004). Other predictive variables included nonexudative AMD (P=0.05), primary open angle glaucoma (P<0.001), obstructive sleep apnea (P=0.03), and ocular hypertension (P=0.003) diagnosed prior to XFS onset., Conclusions: We determined a set of clinically relevant factors that predicted which newly-diagnosed XFS patients progressed to XFG within 3 years. A planned validation will independently confirm if these prognostic indicators hold promise in other settings., (Copyright © 2024. Published by Elsevier Inc.)
- Published
- 2024
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66. Nucleic Acid Target Sensing Using a Vibrating Sharp-Tip Capillary and Digital Droplet Loop-Mediated Isothermal Amplification (ddLAMP).
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Fike BJ, Curtin K, and Li P
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- Biosensing Techniques methods, Biosensing Techniques instrumentation, Vibration, Point-of-Care Systems, Humans, Nucleic Acids analysis, DNA analysis, DNA genetics, DNA chemistry, Nucleic Acid Amplification Techniques methods, Nucleic Acid Amplification Techniques instrumentation
- Abstract
Nucleic acid tests are key tools for the detection and diagnosis of many diseases. In many cases, the amplification of the nucleic acids is required to reach a detectable level. To make nucleic acid amplification tests more accessible to a point-of-care (POC) setting, isothermal amplification can be performed with a simple heating source. Although these tests are being performed in bulk reactions, the quantification is not as accurate as it would be with digital amplification. Here, we introduce the use of the vibrating sharp-tip capillary for a simple and portable system for tunable on-demand droplet generation. Because of the large range of droplet sizes possible and the tunability of the vibrating sharp-tip capillary, a high dynamic range (~2 to 6000 copies/µL) digital droplet loop-mediated isothermal amplification (ddLAMP) system has been developed. It was also noted that by changing the type of capillary on the vibrating sharp-tip capillary, the same mechanism can be used for simple and portable DNA fragmentation. With the incorporation of these elements, the present work paves the way for achieving digital nucleic acid tests in a POC setting with limited resources.
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- 2024
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67. Using a Population Database to Assess Lifestyle Factors in Serrated Polyposis Syndrome and Sporadic Sessile Serrated Lesions.
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Curtin K, Madsen MJ, Yu Z, and Kanth P
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- 2024
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68. Optic nerve compression: a rare ocular manifestation of Proteus syndrome.
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Curtin K and Chamney S
- Subjects
- Female, Humans, Child, Evoked Potentials, Visual, Optic Nerve abnormalities, Eye, Proteus Syndrome complications, Proteus Syndrome diagnosis, Optic Nerve Diseases surgery
- Abstract
Proteus syndrome is characterized by progressive, asymmetric, and distorting overgrowth that involves the skeletal, cutaneous, subcutaneous, and nervous systems. We report the case of a 10-year-old girl with Proteus syndrome and a constellation of ocular signs, including congenital glaucoma, myopia, amblyopia, strabismus, megaloglobus, epibulbar tumors, and right retinal detachment. A decrease in left eye visual acuity coupled with significant deterioration in visual evoked potential response over time prompted urgent neuroimaging, which revealed massive overgrowth of the sphenoid bone, with bilateral optic nerve compression due to optic canal stenosis. Successful removal of the roof of the optic canal along its entire course resulted in optic nerve decompression., (Copyright © 2024 American Association for Pediatric Ophthalmology and Strabismus. Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
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69. Unlocking the potential of 3D printed microfluidics for mass spectrometry analysis using liquid infused surfaces.
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Wang J, Curtin K, Valentine SJ, and Li P
- Abstract
Combining microfluidics with mass spectrometry (MS) analysis has great potential for enabling new analytical applications and simplifying existing MS workflows. The rapid development of 3D printing technology has enabled direct fabrication of microfluidic channels using consumer grade 3D printers, which holds great promise to facilitate the adoption of microfluidic devices by the MS community. However, photo polymerization-based 3D printed devices have an issue with chemical leeching, which can introduce contaminant molecules that may present as isobaric ions and/or severely suppress the ionization of target analytes when combined with MS analysis. Although extra cure and washing steps have alleviated the leeching issue, many such contaminant peaks can still show up in mass spectra. In this work, we report a simple surface modification strategy to isolate the chemical leachates from the channel solution thereby eliminating the contaminant peaks for MS analysis. The channel was prepared by fabricating a layer of polydimethylsiloxane graft followed by wetting the graft using silicone oil. The resulting liquid infused surface (LIS) showed significant reduction in contaminant peaks and improvement in the signal intensity of target analytes. The coating showed good stability after long-term usage (7 days) and long-term storage (∼6 months). Finally, the utility of the coating strategy was demonstrated by printing herringbone microfluidic mixers for studying fast reaction kinetics, which obtained comparable reaction rates to literature values. The effectiveness, simplicity, and stability of the present method will promote the adoption of 3D printed microdevices by the MS community., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Peng Li reports financial support was provided by National Institutes of Health. Kathrine Curtin reports financial support was provided by National Science Foundation., (Copyright © 2023 Elsevier B.V. All rights reserved.)
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- 2023
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70. Correction: Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes.
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Berndt SI, Vijai J, Benavente Y, Camp NJ, Nieters A, Wang Z, Smedby KE, Kleinstern G, Hjalgrim H, Besson C, Skibola CF, Morton LM, Brooks-Wilson AR, Teras LR, Breeze C, Arias J, Adami HO, Albanes D, Anderson KC, Ansell SM, Bassig B, Becker N, Bhatti P, Birmann BM, Boffetta P, Bracci PM, Brennan P, Brown EE, Burdett L, Cannon-Albright LA, Chang ET, Chiu BCH, Chung CC, Clavel J, Cocco P, Colditz G, Conde L, Conti DV, Cox DG, Curtin K, Casabonne D, De Vivo I, Diepstra A, Diver WR, Dogan A, Edlund CK, Foretova L, Fraumeni JF Jr, Gabbas A, Ghesquières H, Giles GG, Glaser S, Glenn M, Glimelius B, Gu J, Habermann TM, Haiman CA, Haioun C, Hofmann JN, Holford TR, Holly EA, Hutchinson A, Izhar A, Jackson RD, Jarrett RF, Kaaks R, Kane E, Kolonel LN, Kong Y, Kraft P, Kricker A, Lake A, Lan Q, Lawrence C, Li D, Liebow M, Link BK, Magnani C, Maynadie M, McKay J, Melbye M, Miligi L, Milne RL, Molina TJ, Monnereau A, Montalvan R, North KE, Novak AJ, Onel K, Purdue MP, Rand KA, Riboli E, Riby J, Roman E, Salles G, Sborov DW, Severson RK, Shanafelt TD, Smith MT, Smith A, Song KW, Song L, Southey MC, Spinelli JJ, Staines A, Stephens D, Sutherland HJ, Tkachuk K, Thompson CA, Tilly H, Tinker LF, Travis RC, Turner J, Vachon CM, Vajdic CM, Van Den Berg A, Van Den Berg DJ, Vermeulen RCH, Vineis P, Wang SS, Weiderpass E, Weiner GJ, Weinstein S, Doo NW, Ye Y, Yeager M, Yu K, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Ziv E, Sampson J, Chatterjee N, Offit K, Cozen W, Wu X, Cerhan JR, Chanock SJ, Slager SL, and Rothman N
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- 2023
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71. A 3D printed microfluidic device for scalable multiplexed CRISPR-cas12a biosensing.
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Curtin K, Wang J, Fike BJ, Binkley B, and Li P
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- Microfluidics, Printing, Three-Dimensional, CRISPR-Cas Systems genetics, Lab-On-A-Chip Devices
- Abstract
Accurate, rapid, and multiplexed nucleic acid detection is critical for environmental and biomedical monitoring. In recent years, CRISPR-Cas12a has shown great potential in improving the performance of DNA biosensing. However, the nonspecific trans-cleavage activity of Cas12a complicates the multiplexing capability of Cas12a biosensing. We report a 3D-printed composable microfluidic plate (cPlate) device that utilizes miniaturized wells and microfluidic loading for a multiplexed CRISPR-Cas12a assay. The device easily combines loop-mediated isothermal amplification (LAMP) and CRISPR-Cas12a readout in a simple and high-throughput workflow with low reagent consumption. To ensure the maximum performance of the device, the concentration of Cas12a and detection probe was optimized, which yielded a four-fold sensitivity improvement. Our device demonstrates sensitive detection to the fg mL
- 1 level for four waterborne pathogens including shigella, campylobacter, cholera, and legionella within 1 h, making it suitable for low-resource settings., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)- Published
- 2023
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72. Abdominal aortic aneurysm and exfoliation syndrome: A literature review comparing single site findings.
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Patil A, Conley M, Paulson C, Pompoco C, Wallace R, Swiston C, Ritch R, Curtin K, and Wirostko B
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- Humans, Risk Factors, Prevalence, Exfoliation Syndrome complications, Exfoliation Syndrome diagnosis, Exfoliation Syndrome epidemiology, Aortic Aneurysm, Abdominal complications, Aortic Aneurysm, Abdominal diagnosis, Aortic Aneurysm, Abdominal epidemiology
- Abstract
Several studies have suggested a possible relationship between exfoliation syndrome (XFS) and abdominal aortic aneurysm (AAA). A systematic literature review was undertaken to investigate this potential association. The systematic literature review was performed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Clear definitions of XFS and AAA were used to identify eligible studies via an unrestricted search of the PubMed interface from 1979 to October 31st, 2021. After review, 876 citations were gathered and evaluated for inclusion, from which 22 articles were included. Of these 22, 16 were excluded because they did not assess the relationship between AAA and XFS or provide primary data. Ultimately, six studies were included in this literature review. Half of the studies explored AAA prevalence in a population with or without XFS, and the other half explored the opposite. Three studies supported XFS as a risk factor for the development of AAA, and the other three found this relationship to be inconclusive. This systematic review revealed inconsistent results regarding an association between AAA and XFS. A large database study including XFS and AAA patients would be useful in further determining if an association does in fact exist., (© 2022 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.)
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- 2023
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73. Abdominal aortic aneurysm and exfoliation syndrome in Utah.
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Patil A, Conley M, Pompoco C, Paulson C, Taylor S, Swiston C, Herrick JS, Ritch R, Curtin K, and Wirostko B
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- Humans, Retrospective Studies, Utah epidemiology, Pilot Projects, Exfoliation Syndrome complications, Exfoliation Syndrome diagnosis, Exfoliation Syndrome epidemiology, Aortic Aneurysm, Abdominal diagnosis, Aortic Aneurysm, Abdominal epidemiology
- Abstract
Purpose: A pilot study of electronic medical records (EMR) in Utah was undertaken to investigate exfoliation syndrome and exfoliation glaucoma (XFS/XFG) in abdominal aortic aneurysm (AAA) patients. In a subsequent retrospective cohort study of Utah XFS/XFG patients and population controls, the risk of AAA was examined., Methods: EMR of a statewide healthcare population were obtained from the Utah Population Database (UPDB) which links decades of medical records with Utah demographic and vital records data. In a pilot study, 7167 patients ages ≥40 years identified with AAA diagnosed from 1996 to 2015, based on International Classification of Diseases (ICD) version 9/10 codes, were included. A univariable hazards model was used to determine the risk of XFS/XFG in AAA patients. An XFS/XFG outcome based on ICD 9/10 codes in AAA patients and in 5:1 sex- and age-matched non-AAA controls was determined. A retrospective cohort of 3412 XFS/XFG patients ages ≥50 years diagnosed from 1996 to 2020 and 10 227 3:1 sex- and age-matched controls who underwent ≥1 dilated eye examination(s) were recently identified and updated diagnoses of AAA were obtained. Multivariable logistic regression was used to estimate AAA risk in XFS/XFG patients compared with controls. In a subset of XFS/XFG patients, chart reviews were conducted to confirm clinically diagnosed AAA., Results: In the AAA pilot, 20 patients (0.3%) and 118 controls (0.3%) developed XFS/XFG, respectively. We observed no increased risk of XFS/XFG in AAA patients compared with non-AAA-matched controls (HR = 0.99, 95% CI 0.6-1.6). Among XFS/XFG study patients and controls, 122 patients (3.6%) and 376 controls (3.7%) had an AAA diagnosis. We likewise observed no increased risk of AAA in XFS/XFG patients (OR = 0.97, 95% CI 0.8-1.2). In 14 XFS/XFG patients with an ICD 9/10 diagnosis of AAA who underwent chart review, a clinical diagnosis of AAA was confirmed in 9 patients (64.3%)., Conclusion: Our findings do not support an association between AAA and XFS/XFG., (© 2022 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.)
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- 2023
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74. Tobacco use increases the risk of chronic rhinosinusitis among patients undergoing endoscopic sinus surgery.
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Gill AS, Meeks H, Curtin K, Kelly K, and Alt JA
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- Humans, Case-Control Studies, Endoscopy, Chronic Disease, Tobacco Use, Rhinitis epidemiology, Rhinitis surgery, Sinusitis epidemiology, Sinusitis surgery, Asthma
- Abstract
Background: Although it has been postulated that tobacco use, as well as other environmental exposures, may contribute to chronic rhinosinusitis (CRS), the data remain limited. Here, we utilised a large state population database to assess the association between tobacco use and CRS prevalence among patients undergoing endoscopic sinus surgery (ESS)., Methods: Employing a case-control study design, the Utah Population Database was queried for patients age >18 with a diagnosis of CRS and tobacco use who underwent ESS between 1996 and 2018. Smoking status was compared between patients with CRS (n = 34 350) and random population controls matched 5:1 on sex, birth year, birthplace, time residing in Utah, and pedigree (i.e., familial) information (n = 166 020). Conditional logistic regression models were used for comparisons between CRS patients and their matched controls. All analyses were repeated, additionally adjusting for race, ethnicity, tobacco use, asthma history, and interaction between tobacco use and asthma history., Results: A total of 200 370 patients were included in the final analysis. Patients with CRS were significantly more likely to demonstrate a history of tobacco use than controls (19.6% vs. 15.0%; p < .001), with an adjusted odds ratio (aOR) of 1.42, 95% confidence interval 1.37-1.47; p < .001. More patients with CRS and comorbid asthma used tobacco (19.5%) than controls with asthma (15.0%; p < .001)., Conclusion: History of tobacco use may portend increased risk for the development of CRS among patients undergoing ESS compared to healthy controls., (© 2022 John Wiley & Sons Ltd.)
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- 2023
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75. Neoadjuvant treatment for stage III and IV cutaneous melanoma.
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Gorry C, McCullagh L, O'Donnell H, Barrett S, Schmitz S, Barry M, Curtin K, Beausang E, Barry R, and Coyne I
- Subjects
- Adult, Humans, Ipilimumab, Nivolumab, Randomized Controlled Trials as Topic, Neoplasm Staging, Melanoma, Cutaneous Malignant, Antineoplastic Agents adverse effects, Melanoma drug therapy, Melanoma pathology, Skin Neoplasms drug therapy, Skin Neoplasms pathology
- Abstract
Background: Cutaneous melanoma is amongst the most aggressive of all skin cancers. Neoadjuvant treatment is a form of induction therapy, given to shrink a cancerous tumour prior to the main treatment (usually surgery). The purpose is to improve survival and surgical outcomes. This review systematically appraises the literature investigating the use of neoadjuvant treatment for stage III and IV cutaneous melanoma., Objectives: To assess the effects of neoadjuvant treatment in adults with stage III or stage IV melanoma according to the seventh edition American Joint Committee on Cancer (AJCC) staging system., Search Methods: We searched the following databases up to 10 August 2021 inclusive: Cochrane Skin Specialised Register, CENTRAL, MEDLINE, Embase, LILACS and four trials registers, together with reference checking and contact with study authors to identify additional studies. We also handsearched proceedings from specific conferences from 2016 to 2020 inclusive., Selection Criteria: Randomised controlled trials (RCTs) of people with stage III and IV melanoma, comparing neoadjuvant treatment strategies (using targeted treatments, immunotherapies, radiotherapy, topical treatments or chemotherapy) with any of these agents or current standard of care (SOC), were eligible for inclusion., Data Collection and Analysis: We used standard Cochrane methods. Primary outcomes were overall survival (OS) and adverse effects (AEs). Secondary outcomes included time to recurrence (TTR), quality of life (QOL), and overall response rate (ORR). We used GRADE to evaluate the certainty of the evidence., Main Results: We included eight RCTs involving 402 participants. Studies enrolled adults, mostly with stage III melanoma, investigated immunotherapies, chemotherapy, or targeted treatments, and compared these with surgical excision with or without adjuvant treatment. Duration of follow-up and therapeutic regimens varied, which, combined with heterogeneity in the population and definitions of the endpoints, precluded meta-analysis of all identified studies. We performed a meta-analysis including three studies. We are very uncertain if neoadjuvant treatment increases OS when compared to no neoadjuvant treatment (hazard ratio (HR) 0.43, 95% confidence interval (CI) 0.15 to 1.21; 2 studies, 171 participants; very low-certainty evidence). Neoadjuvant treatment may increase the rate of AEs, but the evidence is very uncertain (26% versus 16%, risk ratio (RR) 1.58, 95% CI 0.97 to 2.55; 2 studies, 162 participants; very low-certainty evidence). We are very uncertain if neoadjuvant treatment increases TTR (HR 0.51, 95% CI 0.22 to 1.17; 2 studies, 171 participants; very low-certainty evidence). Studies did not report ORR as a comparative outcome or measure QOL data. We are very uncertain whether neoadjuvant targeted treatment with dabrafenib and trametinib increases OS (HR 0.28, 95% CI 0.03 to 2.25; 1 study, 21 participants; very low-certainty evidence) or TTR (HR 0.02, 95% CI 0.00 to 0.22; 1 study, 21 participants; very low-certainty evidence) when compared to surgery. The study did not report comparative rates of AEs and overall response, and did not measure QOL. We are very uncertain if neoadjuvant immunotherapy with talimogene laherparepvec increases OS when compared to no neoadjuvant treatment (HR 0.49, 95% CI 0.15 to 1.64; 1 study, 150 participants, very low-certainty evidence). It may have a higher rate of AEs, but the evidence is very uncertain (16.5% versus 5.8%, RR 2.84, 95% CI 0.96 to 8.37; 1 study, 142 participants; very low-certainty evidence). We are very uncertain if it increases TTR (HR 0.75, 95% CI 0.31 to 1.79; 1 study, 150 participants; very low-certainty evidence). The study did not report comparative ORRs or measure QOL. OS was not reported for neoadjuvant immunotherapy (combined ipilimumab and nivolumab) when compared to the combination of ipilimumab and nivolumab as adjuvant treatment. There may be little or no difference in the rate of AEs between these treatments (9%, RR 1.0, 95% CI 0.75 to 1.34; 1 study, 20 participants; low-certainty evidence). The study did not report comparative ORRs or measure TTR and QOL. Neoadjuvant immunotherapy (combined ipilimumab and nivolumab) likely results in little to no difference in OS when compared to neoadjuvant nivolumab monotherapy (P = 0.18; 1 study, 23 participants; moderate-certainty evidence). It may increase the rate of AEs, but the certainty of this evidence is very low (72.8% versus 8.3%, RR 8.73, 95% CI 1.29 to 59; 1 study, 23 participants); this trial was halted early due to observation of disease progression preventing surgical resection in the monotherapy arm and the high rate of treatment-related AEs in the combination arm. Neoadjuvant combination treatment may lead to higher ORR, but the evidence is very uncertain (72.8% versus 25%, RR 2.91, 95% CI 1.02 to 8.27; 1 study, 23 participants; very low-certainty evidence). It likely results in little to no difference in TTR (P = 0.19; 1 study, 23 participants; low-certainty evidence). The study did not measure QOL. OS was not reported for neoadjuvant immunotherapy (combined ipilimumab and nivolumab) when compared to neoadjuvant sequential immunotherapy (ipilimumab then nivolumab). Only Grade 3 to 4 immune-related AEs were reported; fewer were reported with combination treatment, and the sequential treatment arm closed early due to a high incidence of severe AEs. The neoadjuvant combination likely results in a higher ORR compared to sequential neoadjuvant treatment (60.1% versus 42.3%, RR 1.42, 95% CI 0.87 to 2.32; 1 study, 86 participants; low-certainty evidence). The study did not measure TTR and QOL. No data were reported on OS, AEs, TTR, or QOL for the comparison of neoadjuvant interferon (HDI) plus chemotherapy versus neoadjuvant chemotherapy. Neoadjuvant HDI plus chemotherapy may have little to no effect on ORR, but the evidence is very uncertain (33% versus 22%, RR 1.75, 95% CI 0.62 to 4.95; 1 study, 36 participants; very low-certainty evidence)., Authors' Conclusions: We are uncertain if neoadjuvant treatment increases OS or TTR compared with no neoadjuvant treatment, and it may be associated with a slightly higher rate of AEs. There is insufficient evidence to support the use of neoadjuvant treatment in clinical practice. Priorities for research include the development of a core outcome set for neoadjuvant trials that are adequately powered, with validation of pathological and radiological responses as intermediate endpoints, to investigate the relative benefits of neoadjuvant treatment compared with adjuvant treatment with immunotherapies or targeted therapies., (Copyright © 2023 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.)
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- 2023
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76. Microfluidic Continuous Flow DNA Fragmentation based on a Vibrating Sharp-tip.
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Li X, Wang J, Curtin K, and Li P
- Abstract
Fragmentation of DNA into short fragments is of great importance for detecting and studying DNAs. Current microfluidic methods of DNA fragmentation are either inefficient for generating small fragments or rely on microbubbles. Here, we report a DNA fragmentation method in a 3D-printed microfluidic device, which allows efficient continuous flow fragmentation of genomic DNAs without the need for microbubbles. This method is enabled by localized acoustic streaming induced by a single vibrating sharp-tip. Genomic DNAs were fragmented into 700 to 3000 bp fragments with a low power consumption of ~140 mW. The system demonstrated successful fragmentation under a wide range of flow rates from 1 to 50 μL/min without the need for air bubbles. Finally, the utility of the continuous DNA fragmentation method was demonstrated to accelerate the DNA hybridization process for biosensing. Due to the small footprint, continuous flow and bubble-free operation, and high fragmentation efficiency, this method demonstrated great potential for coupling with other functional microfluidic units to achieve an integrated DNA analysis platform., Competing Interests: Conflicts of interests The authors declare no conflicts of interests that are relevant to the content of this article.
- Published
- 2022
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77. Audit of outcomes following attendance at the City West drive-through IOP glaucoma clinic during the COVID-19 pandemic.
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Powell S, Doolan E, Curtin K, Doyle A, and O'Brien C
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- Humans, Pandemics, Reproducibility of Results, Prospective Studies, Tonometry, Ocular methods, Intraocular Pressure, COVID-19, Glaucoma therapy
- Abstract
Background: Glaucoma is the leading cause of irreversible blindness globally. During the COVID-19 pandemic, an enforced reduction in capacity resulted in the deferral of routine outpatient appointments for glaucoma patients., Aim: This study analyses patient outcomes following the establishment of a drive-through intra-ocular pressure (IOP) clinic during the COVID-19 pandemic to alleviate increased pressure on the tertiary glaucoma services at Royal Victoria Eye and Ear Hospital (RVEEH) and Mater Misericordiae University Hospital (MMUH) between August 2020 and June 2021., Methods: A 1-lane driveway system was established in a marquee on the grounds of City West hotel. IOPs were measured in patients' cars using a hand held iCare100 tonometer. Results were reviewed by a consultant ophthalmologist. At hospital follow-up clinic visits, IOP was measured using the Goldmann applanation tonometer (GAT)., Results: Three hundred one patients of a total of 672 who attended the drive-through clinic have subsequently attended a designated hospital follow-up appointment. In this cohort, the mean drive-through iCare IOP of 19.4 mmHg ± 6.0 was significantly higher (< 0.005) than the mean GAT IOP at the pre-drive through clinic visit (16.3 mmHg ± 3.7) and the post drive-through hospital follow-up visit (17.2 mmHg ± 4.1). Two hundred twenty-six (75%) patients did not need any treatment change, 53 (18%) required eye drop medication changes, 10 (3%) underwent a laser procedure, 4(1%) required surgical intervention, and 8 (3%) were discharged. When patient outcomes were analysed according to IOP grade assigned at the drive-through clinic, those with an iCare IOP < 21 were significantly less likely to require a treatment change. The cohort with iCare IOP ≥ 30 were significantly more likely to have a laser or surgical intervention., Conclusion: The implementation of a drive-through IOP clinic was a safe and effective way to monitor glaucoma patients during COVID-19, and identify those at high risk of poor IOP control or requiring a change in treatment., (© 2021. The Author(s), under exclusive licence to Royal Academy of Medicine in Ireland.)
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- 2022
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78. Facilitating stakeholder involvement in Comparative Oncology research: A qualitative analysis of key stakeholder opinions and perceptions.
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Bollard SM, Howard J, Curtin K, Collins B, Canavan C, Kelly P, McCann A, and Potter SM
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- Animals, Medical Oncology, Attitude, Decision Making
- Published
- 2022
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79. Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes.
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Berndt SI, Vijai J, Benavente Y, Camp NJ, Nieters A, Wang Z, Smedby KE, Kleinstern G, Hjalgrim H, Besson C, Skibola CF, Morton LM, Brooks-Wilson AR, Teras LR, Breeze C, Arias J, Adami HO, Albanes D, Anderson KC, Ansell SM, Bassig B, Becker N, Bhatti P, Birmann BM, Boffetta P, Bracci PM, Brennan P, Brown EE, Burdett L, Cannon-Albright LA, Chang ET, Chiu BCH, Chung CC, Clavel J, Cocco P, Colditz G, Conde L, Conti DV, Cox DG, Curtin K, Casabonne D, De Vivo I, Diepstra A, Diver WR, Dogan A, Edlund CK, Foretova L, Fraumeni JF Jr, Gabbas A, Ghesquières H, Giles GG, Glaser S, Glenn M, Glimelius B, Gu J, Habermann TM, Haiman CA, Haioun C, Hofmann JN, Holford TR, Holly EA, Hutchinson A, Izhar A, Jackson RD, Jarrett RF, Kaaks R, Kane E, Kolonel LN, Kong Y, Kraft P, Kricker A, Lake A, Lan Q, Lawrence C, Li D, Liebow M, Link BK, Magnani C, Maynadie M, McKay J, Melbye M, Miligi L, Milne RL, Molina TJ, Monnereau A, Montalvan R, North KE, Novak AJ, Onel K, Purdue MP, Rand KA, Riboli E, Riby J, Roman E, Salles G, Sborov DW, Severson RK, Shanafelt TD, Smith MT, Smith A, Song KW, Song L, Southey MC, Spinelli JJ, Staines A, Stephens D, Sutherland HJ, Tkachuk K, Thompson CA, Tilly H, Tinker LF, Travis RC, Turner J, Vachon CM, Vajdic CM, Van Den Berg A, Van Den Berg DJ, Vermeulen RCH, Vineis P, Wang SS, Weiderpass E, Weiner GJ, Weinstein S, Doo NW, Ye Y, Yeager M, Yu K, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Ziv E, Sampson J, Chatterjee N, Offit K, Cozen W, Wu X, Cerhan JR, Chanock SJ, Slager SL, and Rothman N
- Subjects
- Humans, Genome-Wide Association Study, Risk Factors, Germ Cells, Case-Control Studies, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Lymphoma, Non-Hodgkin genetics
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Lymphoma risk is elevated for relatives with common non-Hodgkin lymphoma (NHL) subtypes, suggesting shared genetic susceptibility across subtypes. To evaluate the extent of mutual heritability among NHL subtypes and discover novel loci shared among subtypes, we analyzed data from eight genome-wide association studies within the InterLymph Consortium, including 10,629 cases and 9505 controls. We utilized Association analysis based on SubSETs (ASSET) to discover loci for subsets of NHL subtypes and evaluated shared heritability across the genome using Genome-wide Complex Trait Analysis (GCTA) and polygenic risk scores. We discovered 17 genome-wide significant loci (P < 5 × 10
-8 ) for subsets of NHL subtypes, including a novel locus at 10q23.33 (HHEX) (P = 3.27 × 10-9 ). Most subset associations were driven primarily by only one subtype. Genome-wide genetic correlations between pairs of subtypes varied broadly from 0.20 to 0.86, suggesting substantial heterogeneity in the extent of shared heritability among subtypes. Polygenic risk score analyses of established loci for different lymphoid malignancies identified strong associations with some NHL subtypes (P < 5 × 10-8 ), but weak or null associations with others. Although our analyses suggest partially shared heritability and biological pathways, they reveal substantial heterogeneity among NHL subtypes with each having its own distinct germline genetic architecture., (© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)- Published
- 2022
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80. Tobacco Use Increases the Adjusted Risk of Revision Endoscopic Sinus Surgery in Patients With Chronic Rhinosinusitis.
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Gill AS, Meeks H, Curtin K, and Alt JA
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- Adolescent, Chronic Disease, Endoscopy, Humans, Male, Tobacco Use, Asthma, Rhinitis epidemiology, Rhinitis surgery, Sinusitis epidemiology, Sinusitis surgery
- Abstract
Background: Large epidemiologic studies have suggested that a history of tobacco use may be associated with an increased risk of developing chronic rhinosinusitis (CRS). The impact of tobacco use on revision rates of endoscopic sinus surgery (ESS), however, remains limited., Objective: This study seeks to define the independent risk of tobacco use (active or prior) on revision rates of ESS among a large cohort of patients with CRS., Methods: A state population database was queried for patients age ≥18 years with CRS who underwent at least one ESS between 1996 and 2018. Demographic characteristics, history of ESS, and tobacco use status were compared across patients with CRS, using t tests for continuous variables and χ
2 tests for categorical variables. Unadjusted and adjusted logistic regression models were used to understand the impact of tobacco status on revision surgery., Results: The final analysis included 34 350 patients (29 916 CRS with no revision surgery and 4434 CRS with revision surgery). Unadjusted regression analysis demonstrated an increased odds of undergoing revision ESS (OR 1.12, 95% CI: 1.00-1.25, P = .05) among males with a history of tobacco use and CRS. Adjusted regression analysis demonstrated that the risk of revision ESS among CRS patients with a history of asthma and tobacco use was 1.72-fold, while the risk among CRS patients who were tobacco users without asthma was 1.11-fold., Conclusion: History of tobacco use is an independent risk factor for revision ESS among patients with CRS.- Published
- 2022
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81. Recent Advances in Digital Biosensing Technology.
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Curtin K, Fike BJ, Binkley B, Godary T, and Li P
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- Nanotechnology, Proteins, Biosensing Techniques, Microfluidic Analytical Techniques, Nucleic Acids
- Abstract
Digital biosensing assays demonstrate remarkable advantages over conventional biosensing systems because of their ability to achieve single-molecule detection and absolute quantification. Unlike traditional low-abundance biomarking screening, digital-based biosensing systems reduce sample volumes significantly to the fL-nL level, which vastly reduces overall reagent consumption, improves reaction time and throughput, and enables high sensitivity and single target detection. This review presents the current technology for compartmentalizing reactions and their applications in detecting proteins and nucleic acids. We also analyze existing challenges and future opportunities associated with digital biosensing and research opportunities for developing integrated digital biosensing systems.
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- 2022
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82. Body Mass Index and Mammographic Density in a Multiracial and Multiethnic Population-Based Study.
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Barnard ME, Martheswaran T, Van Meter M, Buys SS, Curtin K, and Doherty JA
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- Body Mass Index, Breast diagnostic imaging, Female, Humans, Mammography, Breast Density, Breast Neoplasms epidemiology
- Abstract
Background: Mammographic density (MD) is strongly associated with breast cancer risk. We examined whether body mass index (BMI) partially explains racial and ethnic variation in MD., Methods: We used multivariable Poisson regression to estimate associations between BMI and binary MD [Breast Imaging Reporting and Database System (BI-RADS) A&B versus BI-RADS C&D] among 160,804 women in the Utah mammography cohort. We estimated associations overall and within racial and ethnic subgroups and calculated population attributable risk percents (PAR%)., Results: We observed the lowest BMI and highest MD among Asian women, the highest BMI among Native Hawaiian and Pacific Islander women, and the lowest MD among American Indian and Alaska Native (AIAN) and Black women. BMI was inversely associated with MD [RRBMI≥30 vs. BMI<25 = 0.43; 95% confidence interval (CI), 0.42-0.44] in the full cohort, and estimates in all racial and ethnic subgroups were consistent with this strong inverse association. For women less than 45 years of age, although there was statistical evidence of heterogeneity in associations between BMI and MD by race and ethnicity (P = 0.009), magnitudes of association were similar across groups. PAR%s for BMI and MD among women less than 45 years were considerably higher in White women (PAR% = 29.2, 95% CI = 28.4-29.9) compared with all other groups with estimates ranging from PAR%Asain = 17.2%; 95% CI, 8.5 to 25.8 to PAR%Hispanic = 21.5%; 95% CI, 19.4 to 23.6. For women ≥55 years, PAR%s for BMI and MD were highest among AIAN women (PAR% = 37.5; 95% CI, 28.1-46.9)., Conclusions: While we observed substantial differences in the distributions of BMI and MD by race and ethnicity, associations between BMI and MD were generally similar across groups., Impact: Distributions of BMI and MD may be important contributors to breast cancer disparities., (©2022 American Association for Cancer Research.)
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- 2022
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83. Risk of atrial fibrillation is increased in patients with exfoliation syndrome: the Utah project on exfoliation syndrome (UPEXS).
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Wirostko BM, Curtin K, Taylor SC, Paulson C, Pompoco C, Besch BM, Ranjan R, and Ritch R
- Subjects
- Amino Acid Oxidoreductases genetics, Cohort Studies, Humans, Polymorphism, Single Nucleotide, Protein-Lysine 6-Oxidase genetics, Utah epidemiology, Atrial Fibrillation complications, Atrial Fibrillation diagnosis, Exfoliation Syndrome complications, Exfoliation Syndrome diagnosis, Exfoliation Syndrome epidemiology
- Abstract
Purpose: Exfoliation syndrome, a systemic disorder with ocular manifestations, is associated with lysyl oxidase-like gene variants. Along with transforming growth factor beta-1, lysyl oxidase-like 1 is a key enzyme in stabilizing extracellular matrix and remodelling collagen/elastin. Given the role that transforming growth factor beta-1, lysyl oxidase-like gene variants and fibrosis play in atrial fibrillation, an association with exfoliation syndrome was investigated., Methods: An exfoliation syndrome cohort of 2803 patients and an atrial fibrillation cohort of 43 694 patients aged 60-90 years at disease onset were identified using the Utah Population Database (1996-2015). Conditional logistic regression was used to estimate risk of atrial fibrillation in exfoliation syndrome patients and risk of exfoliation syndrome in atrial fibrillation patients compared with respective 5:1 sex- and age-matched control cohorts. Kaplan-Meier curves were examined to assess survival in atrial fibrillation patients by exfoliation syndrome status., Results: Exfoliation syndrome patients had a 21% greater risk (95% CI 1.06-1.37; p < 0.0001) of atrial fibrillation. This was more pronounced in exfoliation syndrome patients with no hypertension history, who exhibited a 52% increased atrial fibrillation risk (95% CI 1.27-1.82; p < 0.0001). Atrial fibrillation patients exhibited a 20% increased risk of exfoliation syndrome (95% CI 1.07-1.35; p = 0.003), while atrial fibrillation patients with no hypertension had a 72% higher exfoliation risk (95% CI 1.45-2.03; p < 0.0001). Atrial fibrillation patients with exfoliation syndrome had a higher estimated probability of survival (alive at study end or at last follow-up) compared with patients with no exfoliation history (p < 0.0001, log-rank test)., Conclusions: Exfoliation syndrome patients were at a statistically significant increased risk of atrial fibrillation. Similarly, atrial fibrillation patients were at a statistically significant higher risk of exfoliation, particularly when hypertension history was absent., (© 2021 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.)
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- 2022
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84. Early-Onset Colorectal Cancer Survival Differences and Potential Geographic Determinants Among Men and Women in Utah.
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Rogers CR, Korous KM, Brooks E, De Vera MA, Tuuhetaufa F, Lucas T, Curtin K, Pesman C, Johnson W, Gallagher P, and Moore JX
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- Adolescent, Adult, Bayes Theorem, Female, Humans, Incidence, Male, Middle Aged, Utah epidemiology, Young Adult, Colorectal Neoplasms diagnosis
- Abstract
By 2030, early-onset colorectal cancer (EOCRC) is expected to become the leading cancer-related cause of death for people age 20 to 49. To improve understanding of this phenomenon, we analyzed the geographic determinants of EOCRC in Utah by examining county-level incidence and mortality. We linked data from the Utah Population Database to the Utah Cancer Registry to identify residents (age 18-49) diagnosed with EOCRC between 2000 and 2020, and we used spatial empirical Bayes smoothing to determine county-level hotspots. We identified 1,867 EOCRC diagnoses (52.7% in male patients, 69.2% in non-Hispanic White patients). Ten counties (34%) were classified as hotspots, with high EOCRC incidence or mortality. Hotspot status was unrelated to incidence rates, but non-Hispanic ethnic-minority men (incidence rate ratio, 1.49; 95% CI, 1.15-1.91), Hispanic White men and women (incidence rate ratio, 2.24; 95% CI, 2.00-2.51), and Hispanic ethnic-minority men and women (incidence rate ratio, 4.59; 95% CI, 3.50-5.91) were more likely to be diagnosed with EOCRC. After adjustment for income and obesity, adults living in hotspots had a 31% higher hazard for death (HR, 1.31; 95% CI, 1.02-1.69). Survival was poorest for adults with a late-stage diagnosis living in hotspots (chi square (1) = 4.0; p = .045). Adults who were married or who had a life partner had a lower hazard for death than single adults (HR, 0.73; 95% CI, 0.58-0.92). The risk for EOCRC is elevated in 34% of Utah counties, warranting future research and interventions aimed at increasing screening and survival in the population age 18 to 49.
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- 2022
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85. Exfoliation Syndrome in Baja Verapaz Guatemala: A Cross-Sectional Study and Review of the Literature.
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Paulson C, Thomas SC, Gonzalez O, Taylor S, Swiston C, Herrick JS, McCoy L, Curtin K, Chaya CJ, Stagg BC, and Wirostko BM
- Abstract
There are little epidemiologic data on exfoliation syndrome (XFS) or exfoliation glaucoma (XFG) in Guatemala, especially in the underserved Baja Verapaz region. This observational study assessing XFS/XFG and demographic factors of this region aims to better understand unique exogenous and endogenous risk factors associated with XFS/XFG in Guatemala. During Moran Eye Center's global outreach medical eye camps from 2016-2017, 181 patients age 15 years and older presented for complete eye exams. These individuals were screened for eye disease and evaluated for possible surgical interventions that could occur during the camps to improve eyesight. During the dilated exams, XFS was noted as missing or present. Of those 181, 10 had insufficient data and 18 lacked a definitive diagnosis of XFS or XFG, resulting in 153 evaluable patients; 46 XFS and 9 XFG were identified. Age, gender, hometown, ancestry (languages spoken by parents and grandparents), past medical history, family medical history, and occupational data (only 2017 trip) were obtained for each patient. The most common occupations of these individuals were farming and housekeeping. Higher rates of XFS/XFG were noted in individuals of rural compared to urban settings and Mayan speaking people compared with Spanish speakers. Based on this subset of patients, with various ocular pathologies being evaluated during medical eye outreach camps, the prevalence of XFS/XFG appeared to be 36%, a high prevalence compared to other world populations. Location and higher altitude, along with a farming occupation, may contribute to XFS development and subsequent progression to XFG. To our knowledge, this is the largest study looking at the epidemiology of XFS/XFG in the Baja Verapaz region of Guatemala for those over the age of 15 years seeking eye exams and interventions.
- Published
- 2022
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86. Cystic Fibrosis Increases Long-Term Revision Rates of Endoscopic Sinus Surgery in Patients With Comorbid Chronic Rhinosinusitis.
- Author
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Smith KA, Gill AS, Beswick DM, Meeks H, Oakley GM, Yim M, Curtin K, Orlandi RR, and Alt JA
- Subjects
- Adult, Chronic Disease, Endoscopy, Humans, Cystic Fibrosis complications, Cystic Fibrosis epidemiology, Cystic Fibrosis surgery, Nasal Polyps epidemiology, Nasal Polyps surgery, Rhinitis epidemiology, Rhinitis surgery, Sinusitis epidemiology, Sinusitis surgery
- Abstract
Background: Comorbid chronic rhinosinusitis (CRS) of adulthood is increasing among patients with cystic fibrosis (CF) due to improved median survival. However, little is known about the natural history of endoscopic sinus surgery (ESS) in this cohort. The objective of this study was to evaluate the revision rate of ESS and associated risk factors among adults with CRS and CF (CRSwCF). Methods: The Utah Population Database was queried for patients age >18 with CRS who underwent at least one ESS between 1996 and 2018. Demographic information and ESS history were collected and compared for CRSwCF versus CRS without CF (CRSsCF) using chi-square and t-tests. Risk factors for revision were analyzed using Cox proportional hazard models and logistic regression analysis. Results: A total of 34 050 patients (33 639 CRSsCF and 411 CRSwCF) were included in the final analysis. The mean duration of follow-up was 9.3 and 9.3 years, respectively ( P = .98). Adult patients with CF were significantly more likely to undergo revision ESS (18.7%) than those without CF (13.4%; P < .01). Logistic regression analysis indicated that a diagnosis of CF independently elevated the risk for revision ESS in the absence of nasal polyps (odds ratio [OR] 2.18, confidence interval [CI] 1.34-3.54), asthma (OR 1.36, CI 0.94-1.98), and allergies (OR 1.29, CI 0.90-1.73). Conclusion: In the era before highly effective modulator therapies, the mean revision rate of ESS among adults with CRSwCF was 18.7%, significantly greater than that of adults with CRSsCF. CF was an independent risk factor for revision ESS in the absence of nasal polyps, asthma, and allergies.
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- 2022
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87. Cancer Risk in Patients With and Relatives of Serrated Polyposis Syndrome and Sporadic Sessile Serrated Lesions.
- Author
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Kanth P, Yu Z, Keener MB, Koptiuch C, Kohlmann WK, Neklason DW, Westover M, and Curtin K
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- Adenocarcinoma epidemiology, Adenomatous Polyposis Coli etiology, Adenomatous Polyposis Coli genetics, Aged, Colonoscopy methods, Colorectal Neoplasms epidemiology, Diagnosis, Differential, Female, Follow-Up Studies, Humans, Incidence, Male, Middle Aged, Pedigree, Retrospective Studies, Risk Factors, Syndrome, Utah epidemiology, Adenocarcinoma diagnosis, Adenomatous Polyposis Coli diagnosis, Colorectal Neoplasms diagnosis, Early Detection of Cancer methods, Genetic Predisposition to Disease, Registries, Risk Assessment methods
- Abstract
Introduction: Patients with serrated polyposis syndrome (SPS) and their first-degree relatives (FDRs) have increased colorectal cancer (CRC) risk. Patients with sporadic sessile serrated lesion (SSL) have risk for progression to CRC. Yet familial risks of common extracolonic cancers and even CRC in these cohorts are poorly understood. Our aim was to examine cancer risk for patients with SPS and sporadic SSL and their close and more distant relatives using a large population database., Methods: Patients with SPS (n = 59) from hereditary patient registries were eligible for study. Sporadic SSL (n = 754) and sex- and age-matched normal colonoscopy controls (n = 1,624) were selected from clinical data linked to the Utah Population Database. Cox models adjusting for the number of relatives, degree of relatedness, and person-years at risk were used to estimate CRC, extracolonic, and any-site adenocarcinoma/carcinoma cancer risk in patients and their relatives., Results: Compared with controls, CRC risk was elevated 10-fold in patients with SPS (P = 0.04) and 5-fold in their FDRs (P = 0.001). Any-site adenoma/carcinoma risk was increased 2.6-fold in FDRs of patients with SPS. No elevated risks of other common extracolonic cancers were observed in SPS and family members. The FDRs, second-degree relatives, and third-degree relatives of patients with both SSL and adenomatous polyps exhibited a 50% increased CRC risk., Discussion: Patients with SPS and their FDRs have an increased CRC risk, confirming other reports. Interestingly, patients with SSL were noted to have an increased risk of prostate cancer. Relatives of individuals with both sporadic SSL and adenomas, irrespective of size or dysplasia on examination, may have an elevated CRC risk, suggesting closer colonoscopy surveillance in this population., (Copyright © 2021 by The American College of Gastroenterology.)
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- 2022
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88. Protocol for #iBeatCRC: a community-based intervention to increase early-onset colorectal cancer awareness using a sequential explanatory mixed-methods approach.
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Rogers CR, Brooks E, Curtin K, De Vera MA, Qeadan F, Rogers TN, Petersen E, Gallagher P, Pesmen C, Johnson W, Henley C, Hickman W, Newcomb E, Korous KM, and Handley MA
- Subjects
- Adolescent, Adult, Data Collection, Humans, Incidence, Middle Aged, Registries, Risk Factors, Young Adult, Colorectal Neoplasms diagnosis, Colorectal Neoplasms epidemiology, Colorectal Neoplasms prevention & control
- Abstract
Introduction: Th last two decades have seen a twofold increase in colorectal cancer (CRC) incidence among individuals under the recommended screening age of 50 years. Although the origin of this early-onset CRC (EOCRC) spike remains unknown, prior studies have reported that EOCRC harbours a distinct molecular and clinical phenotype in younger individuals. The sharp increase in EOCRC incidence rates may be attributable to a complex interplay of factors, including race; lifestyle; and ecological, sociodemographic and geographical factors. However, more research that address psychosocial experiences and accounts for lifestyle-related behaviours before, during and after an EOCRC diagnosis are warranted. This study aims to develop and pilot test a theory-driven, community-based intervention to increase awareness of EOCRC, reduce its associated risk factors and improve early detection among adults aged 18-49 years., Methods and Analysis: Guided by the Behaviour Change Wheel, we will use a multistage mixed-methods study design. We will pilot a sequential mixed-methods intervention study as follows: (1) First, we will analyse linked quantitative data from the Utah Cancer Registry and National Cancer Institute Surveillance, Epidemiology and End Results registry, linked to state-wide demographic and vital records in the Utah Population Database to identify EOCRC hotspots in Utah by examining the EOCRC incidence and survival variance explained by personal and county-level factors. (2) Next, we will conduct one-on-one interviews with 20 EOCRC survivors residing in EOCRC hotspots to ascertain psychosocial and lifestyle challenges that accompany an EOCRC diagnosis. (3) Finally, we will consider existing evidence-based approaches, our integrated results (quantitative +qualitative) and community action board input to design a community-based intervention to increase EOCRC awareness that can feasibly be delivered by means of outdoor mass media, and via social media. We will pilot the multicomponent media campaign with a quasiexperimental design among 17 EOCRC hotspot residents and 17 EOCRC 'coldspot' residents., Ethics and Dissemination: Ethics approval was obtained from the University of Utah Institutional Review Board (IRB_00138357). Signed informed consent will be obtained from all participants prior to any data collection. Study results will be disseminated through CRC community blogs, targeted infographics, conference presentations at national and international professional conferences and publications in peer-reviewed journals. Final intervention-specific data will be available on reasonable request from the corresponding author., Trial Registration Number: NCT04715074., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2021
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89. Summary of Utah Project on Exfoliation Syndrome (UPEXS): using a large database to identify systemic comorbidities.
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Pompoco CJ, Curtin K, Taylor S, Paulson C, Shumway C, Conley M, Barker DJ, Swiston C, Stagg B, Ritch R, and Wirostko BM
- Abstract
The purpose of the Utah Project on Exfoliation Syndrome (UPEXS) is to identify associations between exfoliation syndrome (XFS) and other diseases that share the commonality of abnormalities in elastin and Lysyl Oxidase-Like 1 gene regulation. The UPEXS is unique because it uses the Utah Population Database, which is linked to the Utah genealogy, that contains a compilation of large pedigrees of most families in the state of Utah that go back multiple generations (3 to ≥11). The health and medical records of these family members are linked to vital records and can be used effectively in studies focused on genetic disorders like XFS, where familial clustering of a disorder is a trend. There is increasing evidence that patients with XFS have a higher risk of certain systemic disorders that reflect the systemic tissue abnormalities of XFS. Epidemiological studies focused on patients with XFS have shown that there is an increased risk of these individuals developing other pathologies that have abnormalities in extracellular matrix metabolism and repair. UPEXS has focused on suspected comorbidities that involve abnormalities in elastin maintenance, a protein that plays a role in the makeup of the extracellular matrix. In this paper, the results from the analysis of chronic obstructive pulmonary disease, inguinal hernias, pelvic organ prolapse, obstructive sleep apnoea and atrial fibrillation are summarised along with the utility of using such a large dataset., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2021
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90. Asthma increases long-term revision rates of endoscopic sinus surgery in chronic rhinosinusitis with and without nasal polyposis.
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Gill AS, Smith KA, Meeks H, Oakley GM, Curtin K, LeClair L, Howe H, Orlandi RR, and Alt JA
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- Adolescent, Chronic Disease, Endoscopy, Humans, Quality of Life, Asthma epidemiology, Nasal Polyps epidemiology, Nasal Polyps surgery, Rhinitis epidemiology, Rhinitis surgery, Sinusitis epidemiology, Sinusitis surgery
- Abstract
Background: Chronic rhinosinusitis with asthma (CRS-A) has a significant impact on patient morbidity and quality of life. Nevertheless, little is known about the natural history of endoscopic sinus surgery (ESS) in this cohort. The objective of this study was to evaluate revision rates of ESS in CRS-A and identify risk factors associated with increased likelihood for revision surgery compared to those with CRS without asthma (CRS-alone)., Methods: The Utah Population Database was queried for patients age >18 years with CRS who underwent at least 1 ESS between 1996 and 2018. Demographic information and history of ESS were collected and compared between CRS-A and CRS-alone using chi-square tests for categorical variables and t tests for continuous variables. Risk factors for revision surgery were analyzed using Cox proportional hazard models., Results: A total of 33,090 patients (7693 CRS-A and 25,397 CRS-alone) were included in the final analysis. Mean follow up was 9.8 years in CRS-A and 9.1 years in CRS-alone (p < 0.001). The revision rate among patients with CRS-A (21.5%) was twice that of CRS-alone (10.8%) (p < 0.001). Among patients with CRS, a history of allergy (p < 0.001), asthma (p < 0.001), and nasal polyposis (p < 0.001) was independently associated with increased risk of revision ESS. Patients with CRS-A and nasal polyposis were 6 times more likely to require revision surgery than those with CRS-alone (p < 0.010)., Conclusion: The rate of revision ESS in CRS-A was twice that of CRS-alone; patients with CRS-A and nasal polyposis were 6 times more likely to require revision than those with CRS-alone. ©2021 ARSAAOA, LLC., (© 2021 ARS-AAOA, LLC.)
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- 2021
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91. Differential methylation of G-protein coupled receptor signaling genes in gastrointestinal neuroendocrine tumors.
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Byun S, Affolter KE, Snow AK, Curtin K, Cannon AR, Cannon-Albright LA, Thota R, and Neklason DW
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- Adult, Aged, Aged, 80 and over, DNA Copy Number Variations genetics, Disease-Free Survival, Female, Gastrointestinal Neoplasms pathology, Gene Expression Regulation, Neoplastic genetics, Genome, Human genetics, Humans, Intestine, Small metabolism, Intestine, Small pathology, Male, Middle Aged, Neoplasm Proteins genetics, Neuroendocrine Tumors pathology, Signal Transduction genetics, DNA Methylation genetics, Gastrointestinal Neoplasms genetics, Neuroendocrine Tumors genetics, Receptors, G-Protein-Coupled genetics
- Abstract
Neuroendocrine tumors (NETs) of the small intestine undergo large chromosomal and methylation changes. The objective of this study was to identify methylation differences in NETs and consider how the differentially methylated genes may impact patient survival. Genome-wide methylation and chromosomal copy number variation (CNV) of NETs from the small intestine and appendix were measured. Tumors were divided into three molecular subtypes according to CNV results: chromosome 18 loss (18LOH), Multiple CNV, and No CNV. Comparison of 18LOH tumors with MultiCNV and NoCNV tumors identified 901 differentially methylated genes. Genes from the G-protein coupled receptor (GPCR) pathways are statistically overrepresented in the differentially methylated genes. One of the highlighted genes from the GPCR pathway is somatostatin (SST), a clinical target for NETs. Patient survival based on low versus high methylation in all samples identified four significant genes (p < 0.05) OR2S2, SMILR, RNU6-653P, and AC010543.1. Within the 18LOH molecular subtype tumors, survival differences were identified in high versus low methylation of 24 genes. The most significant is TRHR (p < 0.01), a GPCR with multiple FDA-approved drugs. By separating NETs into different molecular subtypes based on chromosomal changes, we find that multiple GPCRs and their ligands appear to be regulated through methylation and correlated with survival. These results suggest opportunities for better treatment strategies for NETs based on molecular features.
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- 2021
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92. Sequencing at lymphoid neoplasm susceptibility loci maps six myeloma risk genes.
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Waller RG, Klein RJ, Vijai J, McKay JD, Clay-Gilmour A, Wei X, Madsen MJ, Sborov DW, Curtin K, Slager SL, Offit K, Vachon CM, Lipkin SM, Dumontet C, and Camp NJ
- Subjects
- Acyl-CoA Oxidase genetics, Female, Genetic Predisposition to Disease, Hodgkin Disease genetics, Hodgkin Disease pathology, Humans, Leukemia, Lymphocytic, Chronic, B-Cell genetics, Leukemia, Lymphocytic, Chronic, B-Cell pathology, Lymphocytes pathology, Lymphoma, Follicular genetics, Lymphoma, Follicular pathology, Lymphoma, Large B-Cell, Diffuse genetics, Lymphoma, Large B-Cell, Diffuse pathology, Male, Multiple Myeloma pathology, Polymorphism, Single Nucleotide genetics, Risk Factors, Tetraspanins genetics, Transmembrane Activator and CAML Interactor Protein genetics, Exome Sequencing, Butyrophilins genetics, Genome-Wide Association Study, Interferon Regulatory Factors genetics, Multiple Myeloma genetics, T-Box Domain Proteins genetics
- Abstract
Inherited genetic risk factors play a role in multiple myeloma (MM), yet considerable missing heritability exists. Rare risk variants at genome-wide association study (GWAS) loci are a new avenue to explore. Pleiotropy between lymphoid neoplasms (LNs) has been suggested in family history and genetic studies, but no studies have interrogated sequencing for pleiotropic genes or rare risk variants. Sequencing genetically enriched cases can help discover rarer variants. We analyzed exome sequencing in familial or early-onset MM cases to identify rare, functionally relevant variants near GWAS loci for a range of LNs. A total of 149 distinct and significant LN GWAS loci have been published. We identified six recurrent, rare, potentially deleterious variants within 5 kb of significant GWAS single nucleotide polymorphisms in 75 MM cases. Mutations were observed in BTNL2, EOMES, TNFRSF13B, IRF8, ACOXL and TSPAN32. All six genes replicated in an independent set of 255 early-onset MM or familial MM or precursor cases. Expansion of our analyses to the full length of these six genes resulted in a list of 39 rare and deleterious variants, seven of which segregated in MM families. Three genes also had significant rare variant burden in 733 sporadic MM cases compared with 935 control individuals: IRF8 (P = 1.0 × 10-6), EOMES (P = 6.0 × 10-6) and BTNL2 (P = 2.1 × 10-3). Together, our results implicate six genes in MM risk, provide support for genetic pleiotropy between LN subtypes and demonstrate the utility of sequencing genetically enriched cases to identify functionally relevant variants near GWAS loci., (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
- Published
- 2021
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93. Association between Obstructive Sleep Apnea and Exfoliation Syndrome: The Utah Project on Exfoliation Syndrome.
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Shumway C, Curtin K, Taylor S, Sundar KM, Wirostko BM, and Ritch R
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- Aged, Aged, 80 and over, Case-Control Studies, Humans, Middle Aged, Retrospective Studies, Utah epidemiology, Exfoliation Syndrome epidemiology, Glaucoma, Open-Angle, Sleep Apnea, Obstructive complications
- Abstract
Purpose: Exfoliation syndrome (XFS), the most common recognizable cause of open-angle glaucoma worldwide, is a systemic disorder with genetic predisposition due to variations in lysyl oxidase-like 1 (LOXL1) function, leading to altered elastin matrices in ocular and systemic tissues. Obstructive sleep apnea (OSA) is a highly prevalent disorder also involving elastic tissue dysfunction and is associated with glaucoma. Because of the similarities between the disorders, we sought to uncover any relationship in the prevalence of these diagnoses., Design: Case-control, retrospective cohort study., Participants: A cohort of 81 735 patients diagnosed with OSA at ages 50 to 90 years was identified from medical records from 1996 to 2017 in the Utah Population Database. Case subjects were matched to random controls on sex and birth year in a 4:1 ratio., Methods: International Classification of Diseases, Ninth Revision (ICD-9) codes or their Tenth Revision equivalent were used to define a diagnosis of OSA (ICD-9 327.23) and a diagnosis of XFS (ICD-9 365.52 and 366.11). Conditional logistic regression odds ratios (ORs) accounting for individual matching on sex and birth year were used to estimate the risk of XFS in patients with OSA. Models included adjustment for race, obesity, tobacco use, hypertension (HTN), atrial fibrillation (AF), and chronic obstructive pulmonary disease (COPD)., Main Outcome Measure: Whether patients with OSA have an increased risk of diagnosis of XFS compared with controls without OSA., Results: There was an increased risk of an XFS diagnosis in patients with OSA compared with non-OSA controls (OR, 1.27; 95% confidence interval [CI], 1.02-1.59; P = 0.03). In a stratification of patients by HTN diagnosis history, patients with OSA and HTN exhibited an increased risk of XFS compared with non-OSA controls with HTN (OR, 2.67; 95% CI, 2.06-3.46; P < 0.0001)., Conclusions: Patients with OSA may be at an increased risk of XFS compared with patients without OSA, particularly in patients with a history of HTN., (Copyright © 2020 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.)
- Published
- 2021
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94. Natural history of monoclonal B-cell lymphocytosis among relatives in CLL families.
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Slager SL, Lanasa MC, Marti GE, Achenbach SJ, Camp NJ, Abbasi F, Kay NE, Vachon CM, Cerhan JR, Johnston JB, Call TG, Rabe KG, Kleinstern G, Boddicker NJ, Norman AD, Parikh SA, Leis JF, Banerji V, Brander DM, Glenn M, Ferrajoli A, Curtin K, Braggio E, Shanafelt TD, McMaster ML, Weinberg JB, Hanson CA, and Caporaso NE
- Subjects
- Adult, Aged, Aged, 80 and over, Disease Progression, Female, Humans, Incidence, Kaplan-Meier Estimate, Lymphocytosis diagnosis, Lymphocytosis etiology, Lymphocytosis pathology, Male, Middle Aged, Pedigree, B-Lymphocytes pathology, Leukemia, Lymphocytic, Chronic, B-Cell etiology, Lymphocytosis complications
- Abstract
Chronic lymphocytic lymphoma (CLL) has one of the highest familial risks among cancers. Monoclonal B-cell lymphocytosis (MBL), the precursor to CLL, has a higher prevalence (13%-18%) in families with 2 or more members with CLL compared with the general population (5%-12%). Although, the rate of progression to CLL for high-count MBLs (clonal B-cell count ≥500/µL) is ∼1% to 5%/y, no low-count MBLs have been reported to progress to date. We report the incidence and natural history of MBL in relatives from CLL families. In 310 CLL families, we screened 1045 relatives for MBL using highly sensitive flow cytometry and prospectively followed 449 of them. MBL incidence was directly age- and sex-adjusted to the 2010 US population. CLL cumulative incidence was estimated using Kaplan-Meier survival curves. At baseline, the prevalence of MBL was 22% (235/1045 relatives). After a median follow-up of 8.1 years among 449 relatives, 12 individuals progressed to CLL with a 5-year cumulative incidence of 1.8%. When considering just the 139 relatives with low-count MBL, the 5-year cumulative incidence increased to 5.7%. Finally, 264 had no MBL at baseline, of whom 60 individuals subsequently developed MBL (2 high-count and 58 low-count MBLs) with an age- and sex-adjusted incidence of 3.5% after a median of 6 years of follow-up. In a screening cohort of relatives from CLL families, we reported progression from normal-count to low-count MBL to high-count MBL to CLL, demonstrating that low-count MBL precedes progression to CLL. We estimated a 1.1% annual rate of progression from low-count MBL, which is in excess of that in the general population.
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- 2021
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95. Composable Microfluidic Plates (cPlate): A Simple and Scalable Fluid Manipulation System for Multiplexed Enzyme-Linked Immunosorbent Assay (ELISA).
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He Z, Huffman J, Curtin K, Garner KL, Bowdridge EC, Li X, Nurkiewicz TR, and Li P
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- Biomarkers analysis, Humans, C-Reactive Protein analysis, Carcinoembryonic Antigen analysis, Enzyme-Linked Immunosorbent Assay, Interleukin-6 analysis, Microfluidic Analytical Techniques, Prostate-Specific Antigen analysis
- Abstract
Enzyme-linked immunosorbent assay (ELISA) is the gold standard method for protein biomarkers. However, scaling up ELISA for multiplexed biomarker analysis is not a trivial task due to the lengthy procedures for fluid manipulation and high reagent/sample consumption. Herein, we present a highly scalable multiplexed ELISA that achieves a similar level of performance to commercial single-target ELISA kits as well as shorter assay time, less consumption, and simpler procedures. This ELISA is enabled by a novel microscale fluid manipulation method, composable microfluidic plates (cPlate), which are comprised of miniaturized 96-well plates and their corresponding channel plates. By assembling and disassembling the plates, all of the fluid manipulations for 96 independent ELISA reactions can be achieved simultaneously without any external fluid manipulation equipment. Simultaneous quantification of four protein biomarkers in serum samples is demonstrated with the cPlate system, achieving high sensitivity and specificity (∼ pg/mL), short assay time (∼1 h), low consumption (∼5 μL/well), high scalability, and ease of use. This platform is further applied to probe the levels of three protein biomarkers related to vascular dysfunction under pulmonary nanoparticle exposure in rat's plasma. Because of the low cost, portability, and instrument-free nature of the cPlate system, it will have great potential for multiplexed point-of-care testing in resource-limited regions.
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- 2021
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96. Genome-wide homozygosity and risk of four non-Hodgkin lymphoma subtypes.
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Moore A, Machiela MJ, Machado M, Wang SS, Kane E, Slager SL, Zhou W, Carrington M, Lan Q, Milne RL, Birmann BM, Adami HO, Albanes D, Arslan AA, Becker N, Benavente Y, Bisanzi S, Boffetta P, Bracci PM, Brennan P, Brooks-Wilson AR, Canzian F, Caporaso N, Clavel J, Cocco P, Conde L, Cox DG, Cozen W, Curtin K, De Vivo I, de Sanjose S, Foretova L, Gapstur SM, Ghesquières H, Giles GG, Glenn M, Glimelius B, Gao C, Habermann TM, Hjalgrim H, Jackson RD, Liebow M, Link BK, Maynadie M, McKay J, Melbye M, Miligi L, Molina TJ, Monnereau A, Nieters A, North KE, Offit K, Patel AV, Piro S, Ravichandran V, Riboli E, Salles G, Severson RK, Skibola CF, Smedby KE, Southey MC, Spinelli JJ, Staines A, Stewart C, Teras LR, Tinker LF, Travis RC, Vajdic CM, Vermeulen RCH, Vijai J, Weiderpass E, Weinstein S, Doo NW, Zhang Y, Zheng T, Chanock SJ, Rothman N, Cerhan JR, Dean M, Camp NJ, Yeager M, and Berndt SI
- Abstract
Aim: Recessive genetic variation is thought to play a role in non-Hodgkin lymphoma (NHL) etiology. Runs of homozygosity (ROH), defined based on long, continuous segments of homozygous SNPs, can be used to estimate both measured and unmeasured recessive genetic variation. We sought to examine genome-wide homozygosity and NHL risk., Methods: We used data from eight genome-wide association studies of four common NHL subtypes: 3061 chronic lymphocytic leukemia (CLL), 3814 diffuse large B-cell lymphoma (DLBCL), 2784 follicular lymphoma (FL), and 808 marginal zone lymphoma (MZL) cases, as well as 9374 controls. We examined the effect of homozygous variation on risk by: (1) estimating the fraction of the autosome containing runs of homozygosity (FROH); (2) calculating an inbreeding coefficient derived from the correlation among uniting gametes (F3); and (3) examining specific autosomal regions containing ROH. For each, we calculated beta coefficients and standard errors using logistic regression and combined estimates across studies using random-effects meta-analysis., Results: We discovered positive associations between FROH and CLL (β = 21.1, SE = 4.41, P = 1.6 × 10
-6 ) and FL (β = 11.4, SE = 5.82, P = 0.02) but not DLBCL ( P = 1.0) or MZL ( P = 0.91). For F3, we observed an association with CLL (β = 27.5, SE = 6.51, P = 2.4 × 10-5 ). We did not find evidence of associations with specific ROH, suggesting that the associations observed with FROH and F3 for CLL and FL risk were not driven by a single region of homozygosity., Conclusion: Our findings support the role of recessive genetic variation in the etiology of CLL and FL; additional research is needed to identify the specific loci associated with NHL risk., Competing Interests: Conflicts of interest All authors declare that there are no conflicts of interest.- Published
- 2021
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97. Colorectal cancer in the setting of pregnancy and familial risk.
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Samadder NJ, Smith KR, Wong J, Burt RW, and Curtin K
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- Adult, Female, Humans, Pregnancy, Registries, Risk Factors, Utah epidemiology, Colorectal Neoplasms epidemiology, Colorectal Neoplasms genetics, Genetic Predisposition to Disease
- Abstract
Background and Aims: Women are at risk of colorectal cancer (CRC) during pregnancy but this fact is underappreciated. We performed a population-based study to evaluate the rate, predictors, and familial risk for pregnancy associated CRC in Utah., Methods: All newly diagnosed cases of CRC between 1973 and 2014 were obtained from the Utah Cancer Registry and linked to pedigrees from the Utah Population Database., Results: Of the 12,886 females diagnosed with CRC, 73 were diagnosed with CRC (0.57%) during the period of obstetric delivery/childbirth. Pregnancy associated CRC was diagnosed at a mean age of 31.9 years, and cancers were less frequently located in the proximal colon compared with women with non-pregnancy associated CRC. First-degree relatives of cases with pregnancy associated CRC had a nearly threefold higher risk of CRC (OR, 2.76; 95% CI, 1.26-6.01) compared with relatives of CRC-free individuals., Conclusions: Of women diagnosed with CRC, less than 1% were diagnosed during or soon after obstetric delivery/childbirth. Relatives of these patients have a nearly threefold greater risk of CRC than those without a family history of CRC. These results provide physicians with data to guide the care of patients and their relatives with pregnancy associated CRC.
- Published
- 2020
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98. Early life exposures associated with risk of small intestinal neuroendocrine tumors.
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VanDerslice J, Taddie MC, Curtin K, Miller C, Yu Z, Hemmert R, Cannon-Albright LA, and Neklason DW
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- Aged, Aged, 80 and over, Case-Control Studies, Environmental Exposure analysis, Environmental Exposure statistics & numerical data, Female, Humans, Incidence, Logistic Models, Male, Middle Aged, Registries, Rural Health, Utah epidemiology, Coal Mining statistics & numerical data, Environmental Exposure adverse effects, Intestinal Neoplasms epidemiology, Neuroendocrine Tumors epidemiology, Uranium adverse effects
- Abstract
Small intestinal neuroendocrine tumors (SINT) are rare with incidence increasing over the past 40 years. The purpose of this work is to examine the role of environmental exposures in the rise of SINT incidence using the Utah Population Database, a resource of linked records including life events, cancer diagnoses and residential histories. SINT cases born in Utah were identified through the Utah Cancer Registry with: diagnosis years of 1948 to 2014 and age at diagnosis of 23 to 88 years. Controls were matched to cases 10:1 based on sex, birth year and residence time in Utah. Cases and controls were geocoded to their birth locale. An isotonic spatial scan statistic was used to test for the occurrence and location(s) of SINT clusters. Potential environmental exposures and economic conditions in the birth locales at the time of the birth (1883-1982) were generated using historical references. Conditional logistic regression was used to estimate odd ratios. We report a spatial cluster central to historic coal mining communities, associated with a 2.86 relative risk (p = 0.016) of SINT. Aspatial analyses of industry and mining exposures further suggest elevated risk for early life exposure near areas involved in the construction industry (OR 1.98 p = 0.024). Other exposures approached significance including coal, uranium and hard rock mining during the earliest period (1883-1929) when safety from exposures was not considered. We do observe a lower risk (OR 0.58 p = 0.033) associated with individuals born in rural areas in the most recent period (1945-1982). Environmental exposures early in life, especially those from industries such as mining, may confer an elevated risk of SINT., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2020
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99. Rural-urban disparities in colorectal cancer survival and risk among men in Utah: a statewide population-based study.
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Rogers CR, Blackburn BE, Huntington M, Curtin K, Thorpe RJ Jr, Rowe K, Snyder J, Deshmukh V, Newman M, Fraser A, Smith K, and Hashibe M
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- Adult, Aged, Aged, 80 and over, Cohort Studies, Colonic Neoplasms, Colorectal Neoplasms ethnology, Healthcare Disparities, Humans, Male, Middle Aged, Proportional Hazards Models, Risk, Utah epidemiology, Colorectal Neoplasms mortality, Registries, Rural Population statistics & numerical data, Urban Population statistics & numerical data
- Abstract
Rural areas of the U.S. experience disproportionate colorectal cancer (CRC) death compared to urban areas. The authors aimed to analyze differences in CRC survival between rural and urban Utah men and investigate potential prognostic factors for survival among these men. A cohort of Utah men diagnosed with CRC between 1997 and 2013 was identified from the Utah Cancer Registry. Survival and prognostic factors were analyzed via 5-year CRC survival and Cox proportional hazards models, stratified by rural/urban residence. Among 4,660 men diagnosed with CRC, 15.3% were living in rural Utah. Compared with urban men, rural CRC patients were diagnosed at older ages and in different anatomic subsites; more were overweight, and current smokers. Differences in stage and treatment were not apparent between rural and urban CRC patients. Compared with urban counterparts, rural men experienced a lower CRC survival (Hazard Ratio 0.55, 95% CI 0.53, 0.58 vs. 0.58, 95% CI 0.56, 0.59). Race and cancer treatment influenced CRC survival among men living in both urban and rural areas. Factors of CRC survival varied greatly among urban and rural men in Utah. The influence of social and environmental conditions on health behaviors and outcomes merits further exploration.
- Published
- 2020
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100. Genetically Determined Height and Risk of Non-hodgkin Lymphoma.
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Moore A, Kane E, Wang Z, Panagiotou OA, Teras LR, Monnereau A, Wong Doo N, Machiela MJ, Skibola CF, Slager SL, Salles G, Camp NJ, Bracci PM, Nieters A, Vermeulen RCH, Vijai J, Smedby KE, Zhang Y, Vajdic CM, Cozen W, Spinelli JJ, Hjalgrim H, Giles GG, Link BK, Clavel J, Arslan AA, Purdue MP, Tinker LF, Albanes D, Ferri GM, Habermann TM, Adami HO, Becker N, Benavente Y, Bisanzi S, Boffetta P, Brennan P, Brooks-Wilson AR, Canzian F, Conde L, Cox DG, Curtin K, Foretova L, Gapstur SM, Ghesquières H, Glenn M, Glimelius B, Jackson RD, Lan Q, Liebow M, Maynadie M, McKay J, Melbye M, Miligi L, Milne RL, Molina TJ, Morton LM, North KE, Offit K, Padoan M, Patel AV, Piro S, Ravichandran V, Riboli E, de Sanjose S, Severson RK, Southey MC, Staines A, Stewart C, Travis RC, Weiderpass E, Weinstein S, Zheng T, Chanock SJ, Chatterjee N, Rothman N, Birmann BM, Cerhan JR, and Berndt SI
- Abstract
Although the evidence is not consistent, epidemiologic studies have suggested that taller adult height may be associated with an increased risk of some non-Hodgkin lymphoma (NHL) subtypes. Height is largely determined by genetic factors, but how these genetic factors may contribute to NHL risk is unknown. We investigated the relationship between genetic determinants of height and NHL risk using data from eight genome-wide association studies (GWAS) comprising 10,629 NHL cases, including 3,857 diffuse large B-cell lymphoma (DLBCL), 2,847 follicular lymphoma (FL), 3,100 chronic lymphocytic leukemia (CLL), and 825 marginal zone lymphoma (MZL) cases, and 9,505 controls of European ancestry. We evaluated genetically predicted height by constructing polygenic risk scores using 833 height-associated SNPs. We used logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for association between genetically determined height and the risk of four NHL subtypes in each GWAS and then used fixed-effect meta-analysis to combine subtype results across studies. We found suggestive evidence between taller genetically determined height and increased CLL risk (OR = 1.08, 95% CI = 1.00-1.17, p = 0.049), which was slightly stronger among women (OR = 1.15, 95% CI: 1.01-1.31, p = 0.036). No significant associations were observed with DLBCL, FL, or MZL. Our findings suggest that there may be some shared genetic factors between CLL and height, but other endogenous or environmental factors may underlie reported epidemiologic height associations with other subtypes., (Copyright © 2020 Moore, Kane, Wang, Panagiotou, Teras, Monnereau, Wong Doo, Machiela, Skibola, Slager, Salles, Camp, Bracci, Nieters, Vermeulen, Vijai, Smedby, Zhang, Vajdic, Cozen, Spinelli, Hjalgrim, Giles, Link, Clavel, Arslan, Purdue, Tinker, Albanes, Ferri, Habermann, Adami, Becker, Benavente, Bisanzi, Boffetta, Brennan, Brooks-Wilson, Canzian, Conde, Cox, Curtin, Foretova, Gapstur, Ghesquières, Glenn, Glimelius, Jackson, Lan, Liebow, Maynadie, McKay, Melbye, Miligi, Milne, Molina, Morton, North, Offit, Padoan, Patel, Piro, Ravichandran, Riboli, de Sanjose, Severson, Southey, Staines, Stewart, Travis, Weiderpass, Weinstein, Zheng, Chanock, Chatterjee, Rothman, Birmann, Cerhan and Berndt.)
- Published
- 2020
- Full Text
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