1,083 results on '"Wang, Sophia S"'
Search Results
2. Distinct Reproductive Risk Profiles for Intrinsic-Like Breast Cancer Subtypes: Pooled Analysis of Population-Based Studies
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Jung, Audrey Y, Ahearn, Thomas U, Behrens, Sabine, Middha, Pooja, Bolla, Manjeet K, Wang, Qin, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Freeman, Laura E Beane, Becher, Heiko, Brenner, Hermann, Canzian, Federico, Carey, Lisa A, Consortium, CTS, Czene, Kamila, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Figueroa, Jonine D, Fritschi, Lin, Gabrielson, Marike, Giles, Graham G, Guénel, Pascal, Hadjisavvas, Andreas, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hoppe, Reiner, Hopper, John L, Howell, Anthony, Hunter, David J, Hüsing, Anika, Kaaks, Rudolf, Kosma, Veli-Matti, Koutros, Stella, Kraft, Peter, Lacey, James V, Le Marchand, Loic, Lissowska, Jolanta, Loizidou, Maria A, Mannermaa, Arto, Maurer, Tabea, Murphy, Rachel A, Olshan, Andrew F, Olsson, Håkan, Patel, Alpa V, Perou, Charles M, Rennert, Gad, Shibli, Rana, Shu, Xiao-Ou, Southey, Melissa C, Stone, Jennifer, Tamimi, Rulla M, Teras, Lauren R, Troester, Melissa A, Truong, Thérèse, Vachon, Celine M, Wang, Sophia S, Wolk, Alicja, Wu, Anna H, Yang, Xiaohong R, Zheng, Wei, Dunning, Alison M, Pharoah, Paul DP, Easton, Douglas F, Milne, Roger L, Chatterjee, Nilanjan, Schmidt, Marjanka K, García-Closas, Montserrat, and Chang-Claude, Jenny
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Cancer ,Breast Cancer ,Aging ,Reproductive health and childbirth ,Female ,Humans ,Breast Neoplasms ,Receptor ,ErbB-2 ,Receptors ,Progesterone ,Receptors ,Estrogen ,Triple Negative Breast Neoplasms ,Case-Control Studies ,Risk Factors ,Biomarkers ,Tumor ,CTS Consortium ,Receptor ,erbB-2 ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
BackgroundReproductive factors have been shown to be differentially associated with risk of estrogen receptor (ER)-positive and ER-negative breast cancer. However, their associations with intrinsic-like subtypes are less clear.MethodsAnalyses included up to 23 353 cases and 71 072 controls pooled from 31 population-based case-control or cohort studies in the Breast Cancer Association Consortium across 16 countries on 4 continents. Polytomous logistic regression was used to estimate the association between reproductive factors and risk of breast cancer by intrinsic-like subtypes (luminal A-like, luminal B-like, luminal B-HER2-like, HER2-enriched-like, and triple-negative breast cancer) and by invasiveness. All statistical tests were 2-sided.ResultsCompared with nulliparous women, parous women had a lower risk of luminal A-like, luminal B-like, luminal B-HER2-like, and HER2-enriched-like disease. This association was apparent only after approximately 10 years since last birth and became stronger with increasing time (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.49 to 0.71; and OR = 0.36, 95% CI = 0.28 to 0.46 for multiparous women with luminal A-like tumors 20 to less than 25 years after last birth and 45 to less than 50 years after last birth, respectively). In contrast, parous women had a higher risk of triple-negative breast cancer right after their last birth (for multiparous women: OR = 3.12, 95% CI = 2.02 to 4.83) that was attenuated with time but persisted for decades (OR = 1.03, 95% CI = 0.79 to 1.34, for multiparous women 25 to less than 30 years after last birth). Older age at first birth (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) and breastfeeding (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) were associated with lower risk of triple-negative breast cancer but not with other disease subtypes. Younger age at menarche was associated with higher risk of all subtypes; older age at menopause was associated with higher risk of luminal A-like but not triple-negative breast cancer. Associations for in situ tumors were similar to luminal A-like.ConclusionsThis large and comprehensive study demonstrates a distinct reproductive risk factor profile for triple-negative breast cancer compared with other subtypes, with implications for the understanding of disease etiology and risk prediction.
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- 2022
3. Associations between per- and poly-fluoroalkyl substance (PFAS) exposure and immune responses among women in the California Teachers study: A cross-sectional evaluation
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Cauble, Emily L., Reynolds, Peggy, Epeldegui, Marta, Andra, Syam S., Magpantay, Larry, Narasimhan, Srinivasan, Pulivarthi, Divya, Von Behren, Julie, Martinez-Maza, Otoniel, Goldberg, Debbie, Spielfogel, Emma S., Lacey, James V., Jr., and Wang, Sophia S.
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- 2024
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4. Zhong et al. Respond to “There’s No Place Like Home”
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Zhong, Charlie, Franklin, Meredith, Wang, Sophia S, and Longcore, Travis
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Epidemiology ,Health Sciences ,Mathematical Sciences ,Medical and Health Sciences - Published
- 2022
5. Environmental Influences on Sleep in the California Teachers Study Cohort
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Zhong, Charlie, Longcore, Travis, Benbow, Jennifer, Chung, Nadia T, Chau, Khang, Wang, Sophia S, Lacey, James V, and Franklin, Meredith
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Epidemiology ,Health Sciences ,Clinical Research ,Sleep Research ,Air Pollution ,Cohort Studies ,Environmental Exposure ,Female ,Humans ,Longitudinal Studies ,Sleep ,Sleep Wake Disorders ,air pollution ,artificial light at night ,circadian rhythm ,cohort study ,epidemiology ,green space ,noise ,sleep disruption ,Mathematical Sciences ,Medical and Health Sciences - Abstract
Only two-thirds of Americans meet the recommended 7 hours of sleep nightly. Insufficient sleep and circadian disruption have been associated with adverse health outcomes, including diabetes and cardiovascular disease. Several environmental disruptors of sleep have been reported, such as artificial light at night (ALAN) and noise. These studies tended to evaluate exposures individually. We evaluated several spatially derived environmental exposures (ALAN, noise, green space, and air pollution) and self-reported sleep outcomes obtained in 2012-2015 in a large cohort of 51,562 women in the California Teachers Study. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for sleep duration and latency. After adjusting for age, race/ethnicity, chronotype, use of sleep medication, and self-reported trouble sleeping, ALAN (per 5 millicandela (mcd)/m2 luminance, OR = 1.13, 95% CI: 1.07, 1.20) and air pollution (per 5 μg/m3 PM2.5, OR = 1.06, 95% CI: 1.04, 1.09) were associated with shorter sleep duration (15 minutes) (per 10 decibels, OR = 1.05, 95% CI: 1.01, 1.10). Green space was associated with increased duration (per 0.1 units, OR = 0.41, 95% CI: 0.28, 0.60) and decreased latency (per 0.1 units, OR = 0.55, 95% CI: 0.39, 0.78). Further research is necessary to understand how these and other exposures (e.g., diet) perturb an individuals' inherited sleep patterns and contribute to downstream health outcomes.
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- 2022
6. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry
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Middha, Pooja, Wang, Xiaoliang, Behrens, Sabine, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Ahearn, Thomas U., Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J., Auer, Paul L., Augustinsson, Annelie, Baert, Thaïs, Freeman, Laura E. Beane, Becher, Heiko, Beckmann, Matthias W., Benitez, Javier, Bojesen, Stig E., Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Castelao, Jose E., Chanock, Stephen J., Chenevix-Trench, Georgia, Cordina-Duverger, Emilie, Couch, Fergus J., Cox, Angela, Cross, Simon S., Czene, Kamila, Dossus, Laure, Dugué, Pierre-Antoine, Eliassen, A. Heather, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Figueroa, Jonine D., Fletcher, Olivia, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Giles, Graham G., González-Neira, Anna, Grassmann, Felix, Grundy, Anne, Guénel, Pascal, Haiman, Christopher A., Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan E., Harkness, Elaine F., Holleczek, Bernd, Hoppe, Reiner, Hopper, John L., Houlston, Richard S., Howell, Anthony, Hunter, David J., Ingvar, Christian, Isaksson, Karolin, Jernström, Helena, John, Esther M., Jones, Michael E., Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M., Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W., Lacey, James V., Lambrechts, Diether, Larson, Nicole L., Larsson, Susanna, Le Marchand, Loic, Lejbkowicz, Flavio, Li, Shuai, Linet, Martha, Lissowska, Jolanta, Martinez, Maria Elena, Maurer, Tabea, Mulligan, Anna Marie, Mulot, Claire, Murphy, Rachel A., Newman, William G., Nielsen, Sune F., Nordestgaard, Børge G., Norman, Aaron, O’Brien, Katie M., Olson, Janet E., Patel, Alpa V., Prentice, Ross, Rees-Punia, Erika, Rennert, Gad, Rhenius, Valerie, Ruddy, Kathryn J., Sandler, Dale P., Scott, Christopher G., Shah, Mitul, Shu, Xiao-Ou, Smeets, Ann, Southey, Melissa C., Stone, Jennifer, Tamimi, Rulla M., Taylor, Jack A., Teras, Lauren R., Tomczyk, Katarzyna, Troester, Melissa A., Truong, Thérèse, Vachon, Celine M., Wang, Sophia S., Weinberg, Clarice R., Wildiers, Hans, Willett, Walter, Winham, Stacey J., Wolk, Alicja, Yang, Xiaohong R., Zamora, M. Pilar, Zheng, Wei, Ziogas, Argyrios, Dunning, Alison M., Pharoah, Paul D. P., García-Closas, Montserrat, Schmidt, Marjanka K., Kraft, Peter, Milne, Roger L., Lindström, Sara, Easton, Douglas F., and Chang-Claude, Jenny
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- 2023
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7. Host characteristics associated with serologic inflammatory biomarkers in women
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Wang, Sophia S, Zhong, Charlie, Epeldegui, Marta, Nunes, Sarah, Magpantay, Larry, DeHart, Jessica Clague, Hurley, Susan, Goldberg, Debbie, Martinez, Elena, Lacey, James V, Martinez-Maza, Otoniel, and Reynolds, Peggy
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Biomedical and Clinical Sciences ,Immunology ,Clinical Research ,Prevention ,Women's Health ,Physical Activity ,2.1 Biological and endogenous factors ,Aetiology ,Metabolic and endocrine ,Inflammatory and immune system ,Good Health and Well Being ,B-Lymphocytes ,Biomarkers ,Body Mass Index ,Cross-Sectional Studies ,Cytokines ,Exercise ,Female ,Humans ,Inflammation ,Logistic Models ,Macrophage Activation ,Macrophages ,Odds Ratio ,Prospective Studies ,T-Lymphocytes ,Epidemiology ,Circulating markers ,Blood ,Human ,Cross-sectional ,Diabetes ,Obesity ,Statins ,Physical activity ,Biochemistry and Cell Biology ,Genetics - Abstract
BackgroundThere is growing evidence that exposure to low-grade inflammation may be associated with adverse health outcomes.MethodsWe conducted a cross-sectional study within the California Teachers Study prospective cohort, among female participants who had completed a questionnaire that asked about their health behaviors (e.g., diabetes, physical activity, body mass index, medication use) and who had donated blood within a year of their questionnaire. 822 women with stored serum were evaluated for 16 immune biomarkers. In addition, four immune pathways were constructed: Th1, pro-inflammatory/macrophage activation, B-cell activation, and T-cell activation. Odds ratios (ORs) and 95% confidence intervals (CI) for the association between host characteristics and immune biomarkers were assessed using logistic regression models.ResultCompared to women of a normal BMI, obese women (>30 kg/m2) were positively associated with sTNFR2, CD27, IL6, CXCL13, sIL-2Rα, and IL6Ra levels above the median, with odds ratios ranging from 1.5 to 6.0. The pro-inflammatory/macrophage activation pathway was positively associated with diabetes (OR = 2.12, 95% CI = 1.14-3.95), fueled by individual associations between diabetes and sTNF-R2, TNFα and sCD27. Physical activity was inversely associated with sTNF-R2, TNFα, CXCL13, IL6, IL10, and IFN-γ levels, particularly for the highest category of activity (5.88+ hours/week) (ORs = 0.32-0.69). In pathway-based analyses, the Th1 pathway which includes decreased levels of IL4 and IL10 was positively associated with elevated physical activity (OR = 1.5). In contrast, the pro-inflammatory, B- and T-cell activation pathways were positively associated with higher BMI (OR ranging from 1.6 to 3) and inversely associated with increasing levels of physical activity.ConclusionsSeveral host characteristics were associated with circulating levels of immune biomarkers, including markers of inflammation. Further understanding of associations between immune marker profiles with human disease are warranted.
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- 2022
8. Epidemiology and etiology of diffuse large B-cell lymphoma
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Wang, Sophia S.
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- 2023
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9. Mammography screening and mortality by risk status in the California teachers study
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Park, Hannah Lui, Chang, Jenny, Haridass, Vikram, Wang, Sophia S, Ziogas, Argyrios, and Anton-Culver, Hoda
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Health Services and Systems ,Biomedical and Clinical Sciences ,Health Sciences ,Oncology and Carcinogenesis ,Prevention ,Breast Cancer ,Biomedical Imaging ,Clinical Research ,Cancer ,Good Health and Well Being ,Adult ,Age Factors ,Aged ,Aged ,80 and over ,Breast ,Breast Neoplasms ,California ,Early Detection of Cancer ,Female ,Follow-Up Studies ,Humans ,Longitudinal Studies ,Mammography ,Middle Aged ,Practice Guidelines as Topic ,Prospective Studies ,Risk Assessment ,Time Factors ,Mortality ,Breast cancer risk ,Cohort study ,Public Health and Health Services ,Oncology & Carcinogenesis ,Oncology and carcinogenesis ,Epidemiology - Abstract
BackgroundThe debate continues among medical professionals regarding the frequency, starting age, and stopping age for mammography screening. Some experts suggest tailoring recommendations based on individuals' personal breast cancer risk. Previous studies have not compared the impact of annual versus biennial mammography stratified by age group and risk category. The purpose of this study was to examine the relationship between mammography frequency and mortality by age group and risk category in the California Teachers Study.MethodsUsing data from study questionnaires from 93,438 women between the ages of 40 and 85 and linkages to the California Cancer Registry and other indices, overall and breast cancer-specific mortality by mammography frequency were estimated using multivariable Cox proportional hazards models, stratified by age group and risk category at baseline as determined by the Gail breast cancer risk model.ResultsDuring the follow-up period of 20 years, overall mortality risk was lower in women who had annual or biennial mammography compared to less frequent or no mammography in all age groups. Annual mammography was associated with lower overall mortality risk compared to biennial mammography among women age 50-85. This difference was especially apparent in women age 60-74, regardless of estimated Gail risk category at baseline. Breast cancer-specific mortality was lower among women who had annual mammography compared to biennial or less frequent mammography among women age 60-74, regardless of their baseline risk.ConclusionsOur findings suggest that at least biennial mammography is beneficial to most women age 40-85 and that annual mammography is more beneficial than biennial mammography to most women age 50-85 in terms of overall mortality.
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- 2021
10. Outdoor artificial light at night and risk of non-Hodgkin lymphoma among women in the California Teachers Study cohort
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Zhong, Charlie, Franklin, Meredith, Wiemels, Joseph, McKean-Cowdin, Roberta, Chung, Nadia T, Benbow, Jennifer, Wang, Sophia S, Lacey, James V, and Longcore, Travis
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- 2020
11. Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes
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Berndt, Sonja I., Vijai, Joseph, Benavente, Yolanda, Camp, Nicola J., Nieters, Alexandra, Wang, Zhaoming, Smedby, Karin E., Kleinstern, Geffen, Hjalgrim, Henrik, Besson, Caroline, Skibola, Christine F., Morton, Lindsay M., Brooks-Wilson, Angela R., Teras, Lauren R., Breeze, Charles, Arias, Joshua, Adami, Hans-Olov, Albanes, Demetrius, Anderson, Kenneth C., Ansell, Stephen M., Bassig, Bryan, Becker, Nikolaus, Bhatti, Parveen, Birmann, Brenda M., Boffetta, Paolo, Bracci, Paige M., Brennan, Paul, Brown, Elizabeth E., Burdett, Laurie, Cannon-Albright, Lisa A., Chang, Ellen T., Chiu, Brian C. H., Chung, Charles C., Clavel, Jacqueline, Cocco, Pierluigi, Colditz, Graham, Conde, Lucia, Conti, David V., Cox, David G., Curtin, Karen, Casabonne, Delphine, De Vivo, Immaculata, Diepstra, Arjan, Diver, W. Ryan, Dogan, Ahmet, Edlund, Christopher K., Foretova, Lenka, Fraumeni, Jr, Joseph F., Gabbas, Attilio, Ghesquières, Hervé, Giles, Graham G., Glaser, Sally, Glenn, Martha, Glimelius, Bengt, Gu, Jian, Habermann, Thomas M., Haiman, Christopher A., Haioun, Corinne, Hofmann, Jonathan N., Holford, Theodore R., Holly, Elizabeth A., Hutchinson, Amy, Izhar, Aalin, Jackson, Rebecca D., Jarrett, Ruth F., Kaaks, Rudolph, Kane, Eleanor, Kolonel, Laurence N., Kong, Yinfei, Kraft, Peter, Kricker, Anne, Lake, Annette, Lan, Qing, Lawrence, Charles, Li, Dalin, Liebow, Mark, Link, Brian K., Magnani, Corrado, Maynadie, Marc, McKay, James, Melbye, Mads, Miligi, Lucia, Milne, Roger L., Molina, Thierry J., Monnereau, Alain, Montalvan, Rebecca, North, Kari E., Novak, Anne J., Onel, Kenan, Purdue, Mark P., Rand, Kristin A., Riboli, Elio, Riby, Jacques, Roman, Eve, Salles, Gilles, Sborov, Douglas W., Severson, Richard K., Shanafelt, Tait D., Smith, Martyn T., Smith, Alexandra, Song, Kevin W., Song, Lei, Southey, Melissa C., Spinelli, John J., Staines, Anthony, Stephens, Deborah, Sutherland, Heather J., Tkachuk, Kaitlyn, Thompson, Carrie A., Tilly, Hervé, Tinker, Lesley F., Travis, Ruth C., Turner, Jenny, Vachon, Celine M., Vajdic, Claire M., Van Den Berg, Anke, Van Den Berg, David J., Vermeulen, Roel C. H., Vineis, Paolo, Wang, Sophia S., Weiderpass, Elisabete, Weiner, George J., Weinstein, Stephanie, Doo, Nicole Wong, Ye, Yuanqing, Yeager, Meredith, Yu, Kai, Zeleniuch-Jacquotte, Anne, Zhang, Yawei, Zheng, Tongzhang, Ziv, Elad, Sampson, Joshua, Chatterjee, Nilanjan, Offit, Kenneth, Cozen, Wendy, Wu, Xifeng, Cerhan, James R., Chanock, Stephen J., Slager, Susan L., and Rothman, Nathaniel
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- 2022
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12. Insights from Adopting a Data Commons Approach for Large-scale Observational Cohort Studies: The California Teachers Study
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Lacey, James V, Chung, Nadia T, Hughes, Paul, Benbow, Jennifer L, Duffy, Christine, Savage, Kristen E, Spielfogel, Emma S, Wang, Sophia S, Martinez, Maria Elena, and Chandra, Sandeep
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Networking and Information Technology R&D (NITRD) ,Cancer ,Big Data ,Cloud Computing ,Computer Security ,Data Collection ,Data Warehousing ,Health Information Management ,Health Insurance Portability and Accountability Act ,Humans ,Longitudinal Studies ,Neoplasms ,Observational Studies as Topic ,Prospective Studies ,United States ,Medical and Health Sciences ,Epidemiology - Abstract
BackgroundLarge-scale cancer epidemiology cohorts (CEC) have successfully collected, analyzed, and shared patient-reported data for years. CECs increasingly need to make their data more findable, accessible, interoperable, and reusable, or FAIR. How CECs should approach this transformation is unclear.MethodsThe California Teachers Study (CTS) is an observational CEC of 133,477 participants followed since 1995-1996. In 2014, we began updating our data storage, management, analysis, and sharing strategy. With the San Diego Supercomputer Center, we deployed a new infrastructure based on a data warehouse to integrate and manage data and a secure and shared workspace with documentation, software, and analytic tools that facilitate collaboration and accelerate analyses.ResultsOur new CTS infrastructure includes a data warehouse and data marts, which are focused subsets from the data warehouse designed for efficiency. The secure CTS workspace utilizes a remote desktop service that operates within a Health Insurance Portability and Accountability Act (HIPAA)- and Federal Information Security Management Act (FISMA)-compliant platform. Our infrastructure offers broad access to CTS data, includes statistical analysis and data visualization software and tools, flexibly manages other key data activities (e.g., cleaning, updates, and data sharing), and will continue to evolve to advance FAIR principles.ConclusionsOur scalable infrastructure provides the security, authorization, data model, metadata, and analytic tools needed to manage, share, and analyze CTS data in ways that are consistent with the NCI's Cancer Research Data Commons Framework.ImpactThe CTS's implementation of new infrastructure in an ongoing CEC demonstrates how population sciences can explore and embrace new cloud-based and analytics infrastructure to accelerate cancer research and translation.See all articles in this CEBP Focus section, "Modernizing Population Science."
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- 2020
13. Using Marketing Automation to Modernize Data Collection in the California Teachers Study Cohort
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Savage, Kristen E, Benbow, Jennifer L, Duffy, Christine, Spielfogel, Emma S, Chung, Nadia T, Wang, Sophia S, Martinez, Maria Elena, and Lacey, James V
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Cancer ,Clinical Research ,2.4 Surveillance and distribution ,Aetiology ,Adult ,Age Factors ,Aged ,Aged ,80 and over ,Cancer Survivors ,Data Collection ,Female ,Humans ,Internet-Based Intervention ,Longitudinal Studies ,Marketing ,Middle Aged ,Mobile Applications ,Neoplasms ,Patient Participation ,Reminder Systems ,Surveys and Questionnaires ,United States ,Young Adult ,Medical and Health Sciences ,Epidemiology - Abstract
BackgroundLike other cancer epidemiologic cohorts, the California Teachers Study (CTS) has experienced declining participation to follow-up questionnaires; neither the reasons for these declines nor the steps that could be taken to mitigate these trends are fully understood.MethodsThe CTS offered their 6th study questionnaire (Q6) in the fall of 2017 using an integrated, online system. The team delivered a Web and mobile-adaptive questionnaire to 45,239 participants via e-mail using marketing automation technology. The study's integrated platform captured data on recruitment activities that may influence overall response, including the date and time invitations and reminders were e-mailed and the date and time questionnaires were started and submitted.ResultsThe overall response rate was 43%. Participants ages 65 to 69 were 25% more likely to participate than their younger counterparts (OR = 1.25; 95% CI, 1.18-1.32) and nonwhite participants were 28% less likely to participate than non-Hispanic white cohort members (OR = 0.72; 95% CI, 0.68-0.76). Previous questionnaire participation was strongly associated with response (OR = 6.07; 95% CI, 5.50-6.70). Invitations sent after 2 pm had the highest response (OR = 1.75; 95% CI, 1.65-1.84), as did invitations sent on Saturdays (OR = 1.48; 95% CI, 1.36-1.60).ConclusionsAn integrated system that captures paradata about questionnaire recruitment and response can enable studies to quantify the engagement patterns and communication desires of cohort members.ImpactAs cohorts continue to collect scientific data, it is imperative to collect and analyze information on how participants engage with the study.See all articles in this CEBP Focus section, "Modernizing Population Science."
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- 2020
14. Anthropometric traits and risk of multiple myeloma: a pooled prospective analysis
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Bertrand, Kimberly A., Teras, Lauren R., Deubler, Emily L., Chao, Chun R., Rosner, Bernard A., Wang, Ke, Zhong, Charlie, Wang, Sophia S., and Birmann, Brenda M.
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- 2022
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15. Correction: Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes
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Berndt, Sonja I., Vijai, Joseph, Benavente, Yolanda, Camp, Nicola J., Nieters, Alexandra, Wang, Zhaoming, Smedby, Karin E., Kleinstern, Geffen, Hjalgrim, Henrik, Besson, Caroline, Skibola, Christine F., Morton, Lindsay M., Brooks-Wilson, Angela R., Teras, Lauren R., Breeze, Charles, Arias, Joshua, Adami, Hans-Olov, Albanes, Demetrius, Anderson, Kenneth C., Ansell, Stephen M., Bassig, Bryan, Becker, Nikolaus, Bhatti, Parveen, Birmann, Brenda M., Boffetta, Paolo, Bracci, Paige M., Brennan, Paul, Brown, Elizabeth E., Burdett, Laurie, Cannon-Albright, Lisa A., Chang, Ellen T., Chiu, Brian C. H., Chung, Charles C., Clavel, Jacqueline, Cocco, Pierluigi, Colditz, Graham, Conde, Lucia, Conti, David V., Cox, David G., Curtin, Karen, Casabonne, Delphine, De Vivo, Immaculata, Diepstra, Arjan, Diver, W. Ryan, Dogan, Ahmet, Edlund, Christopher K., Foretova, Lenka, Fraumeni, Jr, Joseph F., Gabbas, Attilio, Ghesquières, Hervé, Giles, Graham G., Glaser, Sally, Glenn, Martha, Glimelius, Bengt, Gu, Jian, Habermann, Thomas M., Haiman, Christopher A., Haioun, Corinne, Hofmann, Jonathan N., Holford, Theodore R., Holly, Elizabeth A., Hutchinson, Amy, Izhar, Aalin, Jackson, Rebecca D., Jarrett, Ruth F., Kaaks, Rudolph, Kane, Eleanor, Kolonel, Laurence N., Kong, Yinfei, Kraft, Peter, Kricker, Anne, Lake, Annette, Lan, Qing, Lawrence, Charles, Li, Dalin, Liebow, Mark, Link, Brian K., Magnani, Corrado, Maynadie, Marc, McKay, James, Melbye, Mads, Miligi, Lucia, Milne, Roger L., Molina, Thierry J., Monnereau, Alain, Montalvan, Rebecca, North, Kari E., Novak, Anne J., Onel, Kenan, Purdue, Mark P., Rand, Kristin A., Riboli, Elio, Riby, Jacques, Roman, Eve, Salles, Gilles, Sborov, Douglas W., Severson, Richard K., Shanafelt, Tait D., Smith, Martyn T., Smith, Alexandra, Song, Kevin W., Song, Lei, Southey, Melissa C., Spinelli, John J., Staines, Anthony, Stephens, Deborah, Sutherland, Heather J., Tkachuk, Kaitlyn, Thompson, Carrie A., Tilly, Hervé, Tinker, Lesley F., Travis, Ruth C., Turner, Jenny, Vachon, Celine M., Vajdic, Claire M., Van Den Berg, Anke, Van Den Berg, David J., Vermeulen, Roel C. H., Vineis, Paolo, Wang, Sophia S., Weiderpass, Elisabete, Weiner, George J., Weinstein, Stephanie, Doo, Nicole Wong, Ye, Yuanqing, Yeager, Meredith, Yu, Kai, Zeleniuch-Jacquotte, Anne, Zhang, Yawei, Zheng, Tongzhang, Ziv, Elad, Sampson, Joshua, Chatterjee, Nilanjan, Offit, Kenneth, Cozen, Wendy, Wu, Xifeng, Cerhan, James R., Chanock, Stephen J., Slager, Susan L., and Rothman, Nathaniel
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- 2023
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16. Correction to : Infectious mononucleosis, immune genotypes, and non-Hodgkin lymphoma (NHL): an InterLymph Consortium study
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Wadé, Niquelle Brown, Chang, Cindy M., Conti, David, Millstein, Joshua, Skibola, Christine, Nieters, Alexandra, Wang, Sophia S., De Sanjose, Silvia, Kane, Eleanor, Spinelli, John J., Bracci, Paige, Zhang, Yawei, Slager, Susan, Wang, Jun, Hjalgrim, Henrik, Smedby, Karin Ekstrom, Brown, Elizabeth E., Jarrett, Ruth F., and Cozen, Wendy
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- 2020
17. Infectious mononucleosis, immune genotypes, and non-Hodgkin lymphoma (NHL) : an InterLymph Consortium study
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Wadé, Niquelle Brown, Chang, Cindy M., Conti, David, Millstein, Joshua, Skibola, Christine, Nieters, Alexandra, Wang, Sophia S., De Sanjose, Silvia, Kane, Eleanor, Spinelli, John J., Bracci, Paige, Zhang, Yawei, Slager, Susan, Wang, Jun, Hjalgrim, Henrik, Smedby, Karin Ekstrom, Brown, Elizabeth E., Jarrett, Ruth F., and Cozen, Wendy
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- 2020
18. Integrated genomic and molecular characterization of cervical cancer
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Burk, Robert D, Chen, Zigui, Saller, Charles, Tarvin, Katherine, Carvalho, Andre L, Scapulatempo-Neto, Cristovam, Silveira, Henrique C, Fregnani, José H, Creighton, Chad J, Anderson, Matthew L, Castro, Patricia, Wang, Sophia S, Yau, Christina, Benz, Christopher, Robertson, A Gordon, Mungall, Karen, Lim, Lynette, Bowlby, Reanne, Sadeghi, Sara, Brooks, Denise, Sipahimalani, Payal, Mar, Richard, Ally, Adrian, Clarke, Amanda, Mungall, Andrew J, Tam, Angela, Lee, Darlene, Chuah, Eric, Schein, Jacqueline E, Tse, Kane, Kasaian, Katayoon, Ma, Yussanne, Marra, Marco A, Mayo, Michael, Balasundaram, Miruna, Thiessen, Nina, Dhalla, Noreen, Carlsen, Rebecca, Moore, Richard A, Holt, Robert A, Jones, Steven JM, Wong, Tina, Pantazi, Angeliki, Parfenov, Michael, Kucherlapati, Raju, Hadjipanayis, Angela, Seidman, Jonathan, Kucherlapati, Melanie, Ren, Xiaojia, Xu, Andrew W, Yang, Lixing, Park, Peter J, Lee, Semin, Rabeno, Brenda, Huelsenbeck-Dill, Lori, Borowsky, Mark, Cadungog, Mark, Iacocca, Mary, Petrelli, Nicholas, Swanson, Patricia, Ojesina, Akinyemi I, Le, Xuan, Sandusky, George, Adebamowo, Sally N, Akeredolu, Teniola, Adebamowo, Clement, Reynolds, Sheila M, Shmulevich, Ilya, Shelton, Candace, Crain, Daniel, Mallery, David, Curley, Erin, Gardner, Johanna, Penny, Robert, Morris, Scott, Shelton, Troy, Liu, Jia, Lolla, Laxmi, Chudamani, Sudha, Wu, Ye, Birrer, Michael, McLellan, Michael D, Bailey, Matthew H, Miller, Christopher A, Wyczalkowski, Matthew A, Fulton, Robert S, Fronick, Catrina C, Lu, Charles, Mardis, Elaine R, Appelbaum, Elizabeth L, Schmidt, Heather K, Fulton, Lucinda A, Cordes, Matthew G, Li, Tiandao, Ding, Li, Wilson, Richard K, Rader, Janet S, Behmaram, Behnaz, Uyar, Denise, and Bradley, William
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Immunology ,Cervical Cancer ,Cancer ,Clinical Research ,Human Genome ,Sexually Transmitted Infections ,Biotechnology ,Genetics ,2.1 Biological and endogenous factors ,Aetiology ,APOBEC-1 Deaminase ,Adenocarcinoma ,B7-H1 Antigen ,Carcinoma ,Squamous Cell ,Caspase 8 ,DNA-Binding Proteins ,Female ,Genomics ,HLA-A Antigens ,Human papillomavirus 16 ,Humans ,Keratins ,Mitogen-Activated Protein Kinase Kinases ,Molecular Targeted Therapy ,Mutation ,Nuclear Proteins ,PTEN Phosphohydrolase ,Phosphatidylinositol 3-Kinases ,Programmed Cell Death 1 Ligand 2 Protein ,Protein Serine-Threonine Kinases ,Proteomics ,Proto-Oncogene Proteins p21(ras) ,RNA ,Long Noncoding ,Receptor ,ErbB-3 ,Receptor ,Transforming Growth Factor-beta Type II ,Receptors ,Transforming Growth Factor beta ,Signal Transduction ,Transcription Factors ,Uterine Cervical Neoplasms ,Virus Integration ,Cancer Genome Atlas Research Network ,Albert Einstein College of Medicine ,Analytical Biological Services ,Barretos Cancer Hospital ,Baylor College of Medicine ,Beckman Research Institute of City of Hope ,Buck Institute for Research on Aging ,Canada's Michael Smith Genome Sciences Centre ,Harvard Medical School ,Helen F. Graham Cancer Center &Research Institute at Christiana Care Health Services ,HudsonAlpha Institute for Biotechnology ,ILSbio ,LLC ,Indiana University School of Medicine ,Institute of Human Virology ,Institute for Systems Biology ,International Genomics Consortium ,Leidos Biomedical ,Massachusetts General Hospital ,McDonnell Genome Institute at Washington University ,Medical College of Wisconsin ,Medical University of South Carolina ,Memorial Sloan Kettering Cancer Center ,Montefiore Medical Center ,NantOmics ,National Cancer Institute ,National Hospital ,Abuja ,Nigeria ,National Human Genome Research Institute ,National Institute of Environmental Health Sciences ,National Institute on Deafness &Other Communication Disorders ,Ontario Tumour Bank ,London Health Sciences Centre ,Ontario Tumour Bank ,Ontario Institute for Cancer Research ,Ontario Tumour Bank ,The Ottawa Hospital ,Oregon Health &Science University ,Samuel Oschin Comprehensive Cancer Institute ,Cedars-Sinai Medical Center ,SRA International ,St Joseph's Candler Health System ,Eli &Edythe L. Broad Institute of Massachusetts Institute of Technology &Harvard University ,Research Institute at Nationwide Children's Hospital ,Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University ,University of Bergen ,University of Texas MD Anderson Cancer Center ,University of Abuja Teaching Hospital ,University of Alabama at Birmingham ,University of California ,Irvine ,University of California Santa Cruz ,University of Kansas Medical Center ,University of Lausanne ,University of New Mexico Health Sciences Center ,University of North Carolina at Chapel Hill ,University of Oklahoma Health Sciences Center ,University of Pittsburgh ,University of São Paulo ,Ribeir ão Preto Medical School ,University of Southern California ,University of Washington ,University of Wisconsin School of Medicine &Public Health ,Van Andel Research Institute ,Washington University in St Louis ,Receptor ,erbB-3 ,General Science & Technology - Abstract
Cervical cancer remains one of the leading causes of cancer-related deaths worldwide. Here we report the extensive molecular characterization of 228 primary cervical cancers, one of the largest comprehensive genomic studies of cervical cancer to date. We observed notable APOBEC mutagenesis patterns and identified SHKBP1, ERBB3, CASP8, HLA-A and TGFBR2 as novel significantly mutated genes in cervical cancer. We also discovered amplifications in immune targets CD274 (also known as PD-L1) and PDCD1LG2 (also known as PD-L2), and the BCAR4 long non-coding RNA, which has been associated with response to lapatinib. Integration of human papilloma virus (HPV) was observed in all HPV18-related samples and 76% of HPV16-related samples, and was associated with structural aberrations and increased target-gene expression. We identified a unique set of endometrial-like cervical cancers, comprised predominantly of HPV-negative tumours with relatively high frequencies of KRAS, ARID1A and PTEN mutations. Integrative clustering of 178 samples identified keratin-low squamous, keratin-high squamous and adenocarcinoma-rich subgroups. These molecular analyses reveal new potential therapeutic targets for cervical cancers.
- Published
- 2017
19. Recreational physical activity and risk of triple negative breast cancer in the California Teachers Study
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Ma, Huiyan, Xu, Xinxin, Clague, Jessica, Lu, Yani, Togawa, Kayo, Wang, Sophia S, Clarke, Christina A, Lee, Eunjung, Park, Hannah L, Sullivan-Halley, Jane, Neuhausen, Susan L, and Bernstein, Leslie
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Prevention ,Breast Cancer ,Cancer ,Body Mass Index ,California ,Female ,Follow-Up Studies ,Humans ,Motor Activity ,Neoplasm Invasiveness ,Population Surveillance ,Proportional Hazards Models ,Recreation ,Risk ,School Teachers ,Triple Negative Breast Neoplasms ,Physical activity ,Breast cancer ,Triple negative breast cancer ,Luminal ,Estrogen receptor ,Progesterone receptor ,HER2 ,Risk factors ,BMI ,Menopausal hormone therapy ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
BackgroundEvidence has accumulated showing that recreational physical activity reduces breast cancer risk. However, it is unclear whether risk reduction pertains to specific receptor-defined subtypes. Moreover, few studies have examined whether changes in the amount of recreational physical activity during adulthood influence breast cancer risk.MethodsA total of 108,907 women, ages 22 to 79 years with no history of breast cancer when joining the California Teachers Study in 1995-1996, completed a baseline questionnaire and were eligible for the study. Through 2012, 5882 women were diagnosed with invasive breast cancer. Breast cancer subtypes were defined by the expression status of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Multivariable Cox proportional hazards models provided adjusted hazard ratios (HRs) and 95 % confidence intervals (CIs) for breast cancer overall and ER/PR/HER2-defined subtypes associated with long-term (from high school through age 54 or age at cohort entry, whichever was younger) and baseline (during 3 years prior to baseline) recreational physical activity. Among women who also completed a follow-up questionnaire at 10 years after baseline in 2005-2008 (54,686 women, 1406 with invasive breast cancer), risk associated with changes in the amount of recreational physical activity from baseline to the 10-year follow-up (during 3 years prior to the 10-year follow-up) was determined.ResultsBoth long-term and baseline strenuous recreational physical activity were inversely associated with risk of invasive breast cancer (P trend ≤0.03). The observed associations were mainly confined to women with triple negative breast cancer (TNBC, ER-/PR-/HER2-, P trend ≤0.02) or luminal A-like subtype (ER+ or PR+ plus HER2-) who were former users of menopausal hormone therapy at baseline (P trend = 0.02, P homogeneity of trends ≤0.03). Moreover, women who consistently engaged in the highest level (≥3.51 h/wk/y) of strenuous recreational physical activity between baseline and 10-year follow-up had the lowest risk of breast cancer (HR = 0.71, 95 % CI = 0.52-0.98) when compared to those who were consistently low (≤0.50 h/wk/y).ConclusionsStrenuous recreational physical activity is associated with lower breast cancer risk, especially TNBC. The benefit may be maximized by consistently engaging in high-intensity recreational physical activity during adulthood.
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- 2016
20. Associations between per- and poly-fluoroalkyl substance (PFAS) exposure and immune responses among women in the California Teachers Study: a cross-sectional evaluation
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Cauble, Emily L., primary, Reynolds, Peggy, additional, Epeldegui, Marta, additional, Andra, Syam S., additional, Narasimhan, Srinivasan, additional, Pulivarthi, Divya, additional, Von Behren, Julie, additional, Goldberg, Debbie, additional, Spielfogel, Emma S., additional, Lacey, James V., additional, and Wang, Sophia S., additional
- Published
- 2024
- Full Text
- View/download PDF
21. Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes
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Machiela, Mitchell J, Lan, Qing, Slager, Susan L, Vermeulen, Roel CH, Teras, Lauren R, Camp, Nicola J, Cerhan, James R, Spinelli, John J, Wang, Sophia S, Nieters, Alexandra, Vijai, Joseph, Yeager, Meredith, Wang, Zhaoming, Ghesquières, Hervé, McKay, James, Conde, Lucia, de Bakker, Paul IW, Cox, David G, Burdett, Laurie, Monnereau, Alain, Flowers, Christopher R, De Roos, Anneclaire J, Brooks-Wilson, Angela R, Giles, Graham G, Melbye, Mads, Gu, Jian, Jackson, Rebecca D, Kane, Eleanor, Purdue, Mark P, Vajdic, Claire M, Albanes, Demetrius, Kelly, Rachel S, Zucca, Mariagrazia, Bertrand, Kimberly A, Zeleniuch-Jacquotte, Anne, Lawrence, Charles, Hutchinson, Amy, Zhi, Degui, Habermann, Thomas M, Link, Brian K, Novak, Anne J, Dogan, Ahmet, Asmann, Yan W, Liebow, Mark, Thompson, Carrie A, Ansell, Stephen M, Witzig, Thomas E, Tilly, Hervé, Haioun, Corinne, Molina, Thierry J, Hjalgrim, Henrik, Glimelius, Bengt, Adami, Hans-Olov, Roos, Göran, Bracci, Paige M, Riby, Jacques, Smith, Martyn T, Holly, Elizabeth A, Cozen, Wendy, Hartge, Patricia, Morton, Lindsay M, Severson, Richard K, Tinker, Lesley F, North, Kari E, Becker, Nikolaus, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, Staines, Anthony, Lightfoot, Tracy, Crouch, Simon, Smith, Alex, Roman, Eve, Diver, W Ryan, Offit, Kenneth, Zelenetz, Andrew, Klein, Robert J, Villano, Danylo J, Zheng, Tongzhang, Zhang, Yawei, Holford, Theodore R, Turner, Jenny, Southey, Melissa C, Clavel, Jacqueline, Virtamo, Jarmo, Weinstein, Stephanie, Riboli, Elio, Vineis, Paolo, Kaaks, Rudolph, Boeing, Heiner, Tjønneland, Anne, Angelucci, Emanuele, Di Lollo, Simonetta, Rais, Marco, De Vivo, Immaculata, Giovannucci, Edward, Kraft, Peter, and Huang, Jinyan
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Clinical Research ,Rare Diseases ,Genetics ,Cancer ,Hematology ,Lymphoma ,Adolescent ,Adult ,Age Factors ,Aged ,Aged ,80 and over ,Female ,Genetic Association Studies ,Genetic Predisposition to Disease ,Humans ,Lymphoma ,B-Cell ,Male ,Middle Aged ,Prospective Studies ,Telomere ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Evidence from a small number of studies suggests that longer telomere length measured in peripheral leukocytes is associated with an increased risk of non-Hodgkin lymphoma (NHL). However, these studies may be biased by reverse causation, confounded by unmeasured environmental exposures and might miss time points for which prospective telomere measurement would best reveal a relationship between telomere length and NHL risk. We performed an analysis of genetically inferred telomere length and NHL risk in a study of 10 102 NHL cases of the four most common B-cell histologic types and 9562 controls using a genetic risk score (GRS) comprising nine telomere length-associated single-nucleotide polymorphisms. This approach uses existing genotype data and estimates telomere length by weighing the number of telomere length-associated variant alleles an individual carries with the published change in kb of telomere length. The analysis of the telomere length GRS resulted in an association between longer telomere length and increased NHL risk [four B-cell histologic types combined; odds ratio (OR) = 1.49, 95% CI 1.22-1.82,P-value = 8.5 × 10(-5)]. Subtype-specific analyses indicated that chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL) was the principal NHL subtype contributing to this association (OR = 2.60, 95% CI 1.93-3.51,P-value = 4.0 × 10(-10)). Significant interactions were observed across strata of sex for CLL/SLL and marginal zone lymphoma subtypes as well as age for the follicular lymphoma subtype. Our results indicate that a genetic background that favors longer telomere length may increase NHL risk, particularly risk of CLL/SLL, and are consistent with earlier studies relating longer telomere length with increased NHL risk.
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- 2016
22. Novel polymorphisms in caspase-8 are associated with breast cancer risk in the California Teachers Study.
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Park, Hannah Lui, Ziogas, Argyrios, Chang, Jenny, Desai, Bhumi, Bessonova, Leona, Garner, Chad, Lee, Eunjung, Neuhausen, Susan L, Wang, Sophia S, Ma, Huiyan, Clague, Jessica, Reynolds, Peggy, Lacey, James V, Bernstein, Leslie, and Anton-Culver, Hoda
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Humans ,Breast Neoplasms ,Genetic Predisposition to Disease ,Receptor ,erbB-2 ,Receptors ,Estrogen ,Receptors ,Progesterone ,Risk Factors ,Genotype ,Polymorphism ,Single Nucleotide ,Adult ,Middle Aged ,California ,Female ,Caspase 8 ,Genetic Association Studies ,Receptor ,ErbB-2 ,Breast cancer ,Single nucleotide polymorphism ,Caspase-8 ,Receptor ,erbB-2 ,Receptors ,Estrogen ,Progesterone ,Polymorphism ,Single Nucleotide ,ErbB-2 ,Prevention ,Breast Cancer ,Cancer ,Oncology & Carcinogenesis ,Oncology and Carcinogenesis ,Public Health and Health Services - Abstract
BackgroundThe ability of tamoxifen and raloxifene to decrease breast cancer risk varies among different breast cancer subtypes. It is important to determine one's subtype-specific breast cancer risk when considering chemoprevention. A number of single nucleotide polymorphisms (SNPs), including one in caspase-8 (CASP8), have been previously associated with risk of developing breast cancer. Because caspase-8 is an important protein involved in receptor-mediated apoptosis whose activity is affected by estrogen, we hypothesized that additional SNPs in CASP8 could be associated with breast cancer risk, perhaps in a subtype-specific manner.MethodsTwelve tagging SNPs of CASP8 were analyzed in a nested case control study (1,353 cases and 1,384 controls) of non-Hispanic white women participating in the California Teachers Study. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for each SNP using all, estrogen receptor (ER)-positive, ER-negative, human epidermal growth factor receptor 2 (HER2)-positive, and HER2-negative breast cancers as separate outcomes.ResultsSeveral SNPs were associated with all, ER-positive, and HER2-positive breast cancers; however, after correcting for multiple comparisons (i.e., p < 0.0008), only rs2293554 was statistically significantly associated with HER2-positive breast cancer (OR = 1.98, 95% CI 1.34-2.92, uncorrected p = 0.0005).ConclusionsWhile our results for CASP8 SNPs should be validated in other cohorts with subtype-specific information, we conclude that some SNPs in CASP8 are associated with subtype-specific breast cancer risk. This study contributes to our understanding of CASP8 SNPs and breast cancer risk by subtype.
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- 2016
23. Automated self-service cohort selection for large-scale population sciences and observational research: The California Teachers Study Researcher Platform
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Lacey, James V, primary, Spielfogel, Emma S, additional, Benbow, Jennifer L, additional, Savage, Kristen E., additional, Lin, Kai, additional, Anderson, Cheryl A.M., additional, Clague-DeHart, Jessica, additional, Duffy, Christine N., additional, Martinez, Maria Elena, additional, Park, Hannah Lui, additional, Thompson, Caroline A., additional, Wang, Sophia S., additional, and Chandra, Sandeep, additional
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- 2023
- Full Text
- View/download PDF
24. HLA and KIR Associations of Cervical Neoplasia
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Bao, Xiao, Hanson, Aimee L., Madeleine, Margaret M., Wang, Sophia S., Schwartz, Stephen M., Newell, Felicity, Pettersson-Kymmer, Ulrika, Hemminki, Kari, Tiews, Sven, Steinberg, Winfried, Rader, Janet S., Castro, Felipe, Safaeian, Mahboobeh, Franco, Eduardo L., Coutlée, François, Ohlsson, Claes, Cortes, Adrian, Marshall, Mhairi, Mukhopadhyay, Pamela, Cremin, Katie, Johnson, Lisa G., Garland, Suzanne M., Tabrizi, Sepehr N., Wentzensen, Nicolas, Sitas, Freddy, Trimble, Cornelia, Little, Julian, Cruickshank, Maggie, Frazer, Ian H., Hildesheim, Allan, Brown, Matthew A., Duncan, Emma L., Sun, YingPu, and Leo, Paul J.
- Published
- 2018
25. Abstract 872: Long-term and recent recreational physical activity reduces risk of triple negative and other subtypes of invasive breast cancer in the California Teachers Study
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Ma, Huiyan, Clague, Jessica, Xu, Xinxin, Lu, Yani, Togawa, Kayo, Wang, Sophia S, Clarke, Christina A, Lee, Eunjung, Park, Hannah L, Sullivan-Halley, Jane, Neuhausen, Susan, and Bernstein, Leslie
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Biomedical and Clinical Sciences ,Health Sciences ,Oncology and Carcinogenesis ,Oncology & Carcinogenesis ,Biochemistry and cell biology ,Oncology and carcinogenesis - Abstract
Abstract: Background. Evidence has accumulated showing that physical activity reduces breast cancer risk. Whether risk reduction pertains to all breast cancer or specific receptor-defined subtypes is unclear. Moreover, few studies have examined whether changes in the amount of physical activity during adulthood influence breast cancer risk. Methods. Among 108,907 women, ages 22 to 79 years with no history of breast cancer when they joined the California Teachers Study in 1995-1996 (baseline), 5,578 women were diagnosed with invasive breast cancer during follow-up through December, 2011. Subtypes were defined by the expression status of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Cox proportional hazards models were fit to data to estimate adjusted hazard rate ratios (HRs) and 95% confidence intervals (CIs) associated with long-term and recent (within 3 years of baseline) recreational physical activity. Among 54,690 women who provided updated information on physical activity in 2005-2008, we also assessed whether changes in the level of physical activity since baseline influenced breast cancer risk (654 cases diagnosed during follow-up). Results. Long-term and recent recreational physical activity were inversely associated with risk of triple negative breast cancer (TNBC, both Ptrend ≤ 0.05), but not other subtypes (all Ptrend ≥ 0.07). The reduced risk of TNBC was limited to strenuous physical activity. A 50% (HR = 0.50, 95% CI = 0.29-0.86) lower risk of TNBC was observed among women in the highest (≥5.01 h/wk) versus lowest category (≤0.50 h/wk) of long-term strenuous recreational physical activity; this was not modified by baseline body mass index (
- Published
- 2015
26. Long-term and recent recreational physical activity reduces risk of triple negative and other subtypes of invasive breast cancer in the California Teachers Study
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Ma, Huiyan, Clague, Jessica, Xu, Xinxin, Lu, Yani, Togawa, Kayo, Wang, Sophia S, Clarke, Christina A, Lee, Eunjung, Park, Hannah L, Sullivan-Halley, Jane, Neuhausen, Susan, and Bernstein, Leslie
- Subjects
Oncology & Carcinogenesis ,Oncology and Carcinogenesis - Published
- 2015
27. Associations of Non-Hodgkin Lymphoma (NHL) Risk With Autoimmune Conditions According to Putative NHL Loci
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Wang, Sophia S, Vajdic, Claire M, Linet, Martha S, Slager, Susan L, Voutsinas, Jenna, Nieters, Alexandra, de Sanjose, Silvia, Cozen, Wendy, Alarcón, Graciela S, Martinez-Maza, Otoniel, Brown, Elizabeth E, Bracci, Paige M, Lightfoot, Tracy, Turner, Jennifer, Hjalgrim, Henrik, Spinelli, John J, Zheng, Tongzhang, Morton, Lindsay M, Birmann, Brenda M, Flowers, Christopher R, Paltiel, Ora, Becker, Nikolaus, Holly, Elizabeth A, Kane, Eleanor, Weisenburger, Dennis, Maynadie, Marc, Cocco, Pierluigi, Foretova, Lenka, Staines, Anthony, Davis, Scott, Severson, Richard, Cerhan, James R, Breen, Elizabeth C, Lan, Qing, Brooks-Wilson, Angela, De Roos, Anneclaire J, Smith, Martyn T, Roman, Eve, Boffetta, Paolo, Kricker, Anne, Zhang, Yawei, Skibola, Christine, Chanock, Stephen J, Rothman, Nathaniel, Benavente, Yolanda, Hartge, Patricia, and Smedby, Karin E
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Cancer ,HIV/AIDS ,Autoimmune Disease ,Genetics ,Lymphoma ,Rare Diseases ,Hematology ,Aetiology ,2.1 Biological and endogenous factors ,Inflammatory and immune system ,Autoimmune Diseases ,Case-Control Studies ,HLA Antigens ,Humans ,Interleukin-10 ,Lymphoma ,Non-Hodgkin ,Polymorphism ,Single Nucleotide ,Tumor Necrosis Factor-alpha ,autoimmune conditions ,environment ,genetics ,interaction ,human leukocyte antigen ,lymphoma ,non-Hodgkin ,tumor necrosis factor ,lymphoma ,non-Hodgkin ,Mathematical Sciences ,Medical and Health Sciences ,Epidemiology - Abstract
Autoimmune conditions and immune system-related genetic variations are associated with risk of non-Hodgkin lymphoma (NHL). In a pooled analysis of 8,692 NHL cases and 9,260 controls from 14 studies (1988-2007) within the International Lymphoma Epidemiology Consortium, we evaluated the interaction between immune system genetic variants and autoimmune conditions in NHL risk. We evaluated the immunity-related single nucleotide polymorphisms rs1800629 (tumor necrosis factor gene (TNF) G308A), rs1800890 (interleukin-10 gene (IL10) T3575A), rs6457327 (human leukocyte antigen gene (HLA) class I), rs10484561 (HLA class II), and rs2647012 (HLA class II)) and categorized autoimmune conditions as primarily mediated by B-cell or T-cell responses. We constructed unconditional logistic regression models to measure associations between autoimmune conditions and NHL with stratification by genotype. Autoimmune conditions mediated by B-cell responses were associated with increased NHL risk, specifically diffuse large B-cell lymphoma (odds ratio (OR) = 3.11, 95% confidence interval (CI): 2.25, 4.30) and marginal zone lymphoma (OR = 5.80, 95% CI: 3.82, 8.80); those mediated by T-cell responses were associated with peripheral T-cell lymphoma (OR = 2.14, 95% CI: 1.35, 3.38). In the presence of the rs1800629 AG/AA genotype, B-cell-mediated autoimmune conditions increased NHL risk (OR = 3.27, 95% CI: 2.07, 5.16; P-interaction = 0.03) in comparison with the GG genotype (OR = 1.82, 95% CI: 1.31, 2.53). This interaction was consistent across major B-cell NHL subtypes, including marginal zone lymphoma (P-interaction = 0.02) and follicular lymphoma (P-interaction = 0.04).
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- 2015
28. Human Nail Clippings as a Source of DNA for Genetic Studies.
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Truong, Le, Park, Hannah Lui, Chang, Seong Sil, Ziogas, Argyrios, Neuhausen, Susan L, Wang, Sophia S, Bernstein, Leslie, and Anton-Culver, Hoda
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Genotyping ,Nail Clippings ,Single Nucleotide Polymorphism ,Whole Genome Amplification ,Genetics ,Human Genome ,Clinical Sciences ,Public Health and Health Services ,Other Medical and Health Sciences - Abstract
Blood samples have traditionally been used as the main source of DNA for genetic analysis. However, this source can be difficult in terms of collection, transportation, and long-term storage. In this study, we investigated whether human nail clippings could be used as a source of DNA for SNP genotyping, null-allele detection, and whole-genome amplification. From extracted nail DNA, we achieved amplicons up to a length of ~400 bp and >96% concordance for SNP genotyping and 100% concordance for null-allele detection compared to DNA derived from matched blood samples. For whole-genome amplification, OmniPlex performed better than Multiple Displacement Amplification with a success rate of 89.3% and 76.8% for SNP genotyping and null-allele detection, respectively. Concordance was ~98% for both methods. When combined with OmniPlex whole-genome amplification, human nail clippings could potentially be used as an alternative to whole blood as a less invasive and more convenient source of DNA for genotyping studies.
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- 2015
29. A genome-wide association study of marginal zone lymphoma shows association to the HLA region.
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Vijai, Joseph, Wang, Zhaoming, Berndt, Sonja I, Skibola, Christine F, Slager, Susan L, de Sanjose, Silvia, Melbye, Mads, Glimelius, Bengt, Bracci, Paige M, Conde, Lucia, Birmann, Brenda M, Wang, Sophia S, Brooks-Wilson, Angela R, Lan, Qing, de Bakker, Paul IW, Vermeulen, Roel CH, Portlock, Carol, Ansell, Stephen M, Link, Brian K, Riby, Jacques, North, Kari E, Gu, Jian, Hjalgrim, Henrik, Cozen, Wendy, Becker, Nikolaus, Teras, Lauren R, Spinelli, John J, Turner, Jenny, Zhang, Yawei, Purdue, Mark P, Giles, Graham G, Kelly, Rachel S, Zeleniuch-Jacquotte, Anne, Ennas, Maria Grazia, Monnereau, Alain, Bertrand, Kimberly A, Albanes, Demetrius, Lightfoot, Tracy, Yeager, Meredith, Chung, Charles C, Burdett, Laurie, Hutchinson, Amy, Lawrence, Charles, Montalvan, Rebecca, Liang, Liming, Huang, Jinyan, Ma, Baoshan, Villano, Danylo J, Maria, Ann, Corines, Marina, Thomas, Tinu, Novak, Anne J, Dogan, Ahmet, Liebow, Mark, Thompson, Carrie A, Witzig, Thomas E, Habermann, Thomas M, Weiner, George J, Smith, Martyn T, Holly, Elizabeth A, Jackson, Rebecca D, Tinker, Lesley F, Ye, Yuanqing, Adami, Hans-Olov, Smedby, Karin E, De Roos, Anneclaire J, Hartge, Patricia, Morton, Lindsay M, Severson, Richard K, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, McKay, James, Staines, Anthony, Diver, W Ryan, Vajdic, Claire M, Armstrong, Bruce K, Kricker, Anne, Zheng, Tongzhang, Holford, Theodore R, Severi, Gianluca, Vineis, Paolo, Ferri, Giovanni M, Ricco, Rosalia, Miligi, Lucia, Clavel, Jacqueline, Giovannucci, Edward, Kraft, Peter, Virtamo, Jarmo, Smith, Alex, Kane, Eleanor, Roman, Eve, Chiu, Brian CH, Fraumeni, Joseph F, Wu, Xifeng, Cerhan, James R, Offit, Kenneth, and Chanock, Stephen J
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Humans ,Membrane Glycoproteins ,Computational Biology ,Major Histocompatibility Complex ,Genotype ,Polymorphism ,Single Nucleotide ,European Continental Ancestry Group ,Lymphoma ,B-Cell ,Marginal Zone ,Genome-Wide Association Study ,Butyrophilins ,Polymorphism ,Single Nucleotide ,Lymphoma ,B-Cell ,Marginal Zone - Abstract
Marginal zone lymphoma (MZL) is the third most common subtype of B-cell non-Hodgkin lymphoma. Here we perform a two-stage GWAS of 1,281 MZL cases and 7,127 controls of European ancestry and identify two independent loci near BTNL2 (rs9461741, P=3.95 × 10(-15)) and HLA-B (rs2922994, P=2.43 × 10(-9)) in the HLA region significantly associated with MZL risk. This is the first evidence that genetic variation in the major histocompatibility complex influences MZL susceptibility.
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- 2015
30. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma
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Cerhan, James R, Berndt, Sonja I, Vijai, Joseph, Ghesquières, Hervé, McKay, James, Wang, Sophia S, Wang, Zhaoming, Yeager, Meredith, Conde, Lucia, de Bakker, Paul IW, Nieters, Alexandra, Cox, David, Burdett, Laurie, Monnereau, Alain, Flowers, Christopher R, De Roos, Anneclaire J, Brooks-Wilson, Angela R, Lan, Qing, Severi, Gianluca, Melbye, Mads, Gu, Jian, Jackson, Rebecca D, Kane, Eleanor, Teras, Lauren R, Purdue, Mark P, Vajdic, Claire M, Spinelli, John J, Giles, Graham G, Albanes, Demetrius, Kelly, Rachel S, Zucca, Mariagrazia, Bertrand, Kimberly A, Zeleniuch-Jacquotte, Anne, Lawrence, Charles, Hutchinson, Amy, Zhi, Degui, Habermann, Thomas M, Link, Brian K, Novak, Anne J, Dogan, Ahmet, Asmann, Yan W, Liebow, Mark, Thompson, Carrie A, Ansell, Stephen M, Witzig, Thomas E, Weiner, George J, Veron, Amelie S, Zelenika, Diana, Tilly, Hervé, Haioun, Corinne, Molina, Thierry Jo, Hjalgrim, Henrik, Glimelius, Bengt, Adami, Hans-Olov, Bracci, Paige M, Riby, Jacques, Smith, Martyn T, Holly, Elizabeth A, Cozen, Wendy, Hartge, Patricia, Morton, Lindsay M, Severson, Richard K, Tinker, Lesley F, North, Kari E, Becker, Nikolaus, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, Staines, Anthony, Lightfoot, Tracy, Crouch, Simon, Smith, Alex, Roman, Eve, Diver, W Ryan, Offit, Kenneth, Zelenetz, Andrew, Klein, Robert J, Villano, Danylo J, Zheng, Tongzhang, Zhang, Yawei, Holford, Theodore R, Kricker, Anne, Turner, Jenny, Southey, Melissa C, Clavel, Jacqueline, Virtamo, Jarmo, Weinstein, Stephanie, Riboli, Elio, Vineis, Paolo, Kaaks, Rudolph, Trichopoulos, Dimitrios, Vermeulen, Roel CH, Boeing, Heiner, Tjonneland, Anne, Angelucci, Emanuele, Di Lollo, Simonetta, Rais, Marco, and Birmann, Brenda M
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Human Genome ,Rare Diseases ,Genetics ,Cancer ,Hematology ,Lymphoma ,Aetiology ,2.1 Biological and endogenous factors ,Chromosome Mapping ,Computational Biology ,Genetic Loci ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Genotype ,Humans ,Likelihood Functions ,Lymphoma ,Large B-Cell ,Diffuse ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,White People ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10(-21)), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10(-10)), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10(-8)) and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (PVT1; P = 9.98 × 10(-13) and 3.63 × 10(-11), respectively). These data provide substantial new evidence for genetic susceptibility to this B cell malignancy and point to pathways involved in immune recognition and immune function in the pathogenesis of DLBCL.
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- 2014
31. Genome-wide Association Study Identifies Five Susceptibility Loci for Follicular Lymphoma outside the HLA Region
- Author
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Skibola, Christine F, Berndt, Sonja I, Vijai, Joseph, Conde, Lucia, Wang, Zhaoming, Yeager, Meredith, de Bakker, Paul IW, Birmann, Brenda M, Vajdic, Claire M, Foo, Jia-Nee, Bracci, Paige M, Vermeulen, Roel CH, Slager, Susan L, de Sanjose, Silvia, Wang, Sophia S, Linet, Martha S, Salles, Gilles, Lan, Qing, Severi, Gianluca, Hjalgrim, Henrik, Lightfoot, Tracy, Melbye, Mads, Gu, Jian, Ghesquières, Hervé, Link, Brian K, Morton, Lindsay M, Holly, Elizabeth A, Smith, Alex, Tinker, Lesley F, Teras, Lauren R, Kricker, Anne, Becker, Nikolaus, Purdue, Mark P, Spinelli, John J, Zhang, Yawei, Giles, Graham G, Vineis, Paolo, Monnereau, Alain, Bertrand, Kimberly A, Albanes, Demetrius, Zeleniuch-Jacquotte, Anne, Gabbas, Attilio, Chung, Charles C, Burdett, Laurie, Hutchinson, Amy, Lawrence, Charles, Montalvan, Rebecca, Liang, Liming, Huang, Jinyan, Ma, Baoshan, Liu, Jianjun, Adami, Hans-Olov, Glimelius, Bengt, Ye, Yuanqing, Nowakowski, Grzegorz S, Dogan, Ahmet, Thompson, Carrie A, Habermann, Thomas M, Novak, Anne J, Liebow, Mark, Witzig, Thomas E, Weiner, George J, Schenk, Maryjean, Hartge, Patricia, De Roos, Anneclaire J, Cozen, Wendy, Zhi, Degui, Akers, Nicholas K, Riby, Jacques, Smith, Martyn T, Lacher, Mortimer, Villano, Danylo J, Maria, Ann, Roman, Eve, Kane, Eleanor, Jackson, Rebecca D, North, Kari E, Diver, W Ryan, Turner, Jenny, Armstrong, Bruce K, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, Staines, Anthony, McKay, James, Brooks-Wilson, Angela R, Zheng, Tongzhang, Holford, Theodore R, Chamosa, Saioa, Kaaks, Rudolph, Kelly, Rachel S, Ohlsson, Bodil, Travis, Ruth C, Weiderpass, Elisabete, Clavel, Jacqueline, Giovannucci, Edward, Kraft, Peter, and Virtamo, Jarmo
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Hematology ,Cancer ,Clinical Research ,Human Genome ,Lymphoma ,Genetics ,Rare Diseases ,2.1 Biological and endogenous factors ,Aetiology ,Alleles ,Biomarkers ,Tumor ,Case-Control Studies ,Chromosomes ,Human ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,HLA Antigens ,Haplotypes ,Humans ,Lymphoma ,Follicular ,Polymorphism ,Single Nucleotide ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Genome-wide association studies (GWASs) of follicular lymphoma (FL) have previously identified human leukocyte antigen (HLA) gene variants. To identify additional FL susceptibility loci, we conducted a large-scale two-stage GWAS in 4,523 case subjects and 13,344 control subjects of European ancestry. Five non-HLA loci were associated with FL risk: 11q23.3 (rs4938573, p = 5.79 × 10(-20)) near CXCR5; 11q24.3 (rs4937362, p = 6.76 × 10(-11)) near ETS1; 3q28 (rs6444305, p = 1.10 × 10(-10)) in LPP; 18q21.33 (rs17749561, p = 8.28 × 10(-10)) near BCL2; and 8q24.21 (rs13254990, p = 1.06 × 10(-8)) near PVT1. In an analysis of the HLA region, we identified four linked HLA-DRβ1 multiallelic amino acids at positions 11, 13, 28, and 30 that were associated with FL risk (pomnibus = 4.20 × 10(-67) to 2.67 × 10(-70)). Additional independent signals included rs17203612 in HLA class II (odds ratio [OR(per-allele)] = 1.44; p = 4.59 × 10(-16)) and rs3130437 in HLA class I (OR(per-allele) = 1.23; p = 8.23 × 10(-9)). Our findings further expand the number of loci associated with FL and provide evidence that multiple common variants outside the HLA region make a significant contribution to FL risk.
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- 2014
32. Prospective analysis of sleep characteristics, chronotype, and risk of breast cancer in the california teachers study
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Von Behren, Julie, primary, Goldberg, Debbie, additional, Hurley, Susan, additional, Clague DeHart, Jessica, additional, Wang, Sophia S., additional, and Reynolds, Peggy, additional
- Published
- 2023
- Full Text
- View/download PDF
33. Pooled study of occupational exposure to aromatic hydrocarbon solvents and risk of multiple myeloma
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De Roos, Anneclaire J, Spinelli, John, Brown, Elizabeth B, Atanackovic, Djordje, Baris, Dalsu, Bernstein, Leslie, Bhatti, Parveen, Camp, Nicola J, Chiu, Brian C, Clavel, Jacqueline, Cozen, Wendy, De Sanjosé, Silvia, Dosman, James A, Hofmann, Jonathan N, McLaughlin, John R, Miligi, Lucia, Monnereau, Alain, Orsi, Laurent, Purdue, Mark P, Schinasi, Leah H, Tricot, Guido J, Wang, Sophia S, Zhang, Yawei, Birmann, Brenda M, and Cocco, Pierluigi
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- 2018
34. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia
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Berndt, Sonja I, Skibola, Christine F, Joseph, Vijai, Camp, Nicola J, Nieters, Alexandra, Wang, Zhaoming, Cozen, Wendy, Monnereau, Alain, Wang, Sophia S, Kelly, Rachel S, Lan, Qing, Teras, Lauren R, Chatterjee, Nilanjan, Chung, Charles C, Yeager, Meredith, Brooks-Wilson, Angela R, Hartge, Patricia, Purdue, Mark P, Birmann, Brenda M, Armstrong, Bruce K, Cocco, Pierluigi, Zhang, Yawei, Severi, Gianluca, Zeleniuch-Jacquotte, Anne, Lawrence, Charles, Burdette, Laurie, Yuenger, Jeffrey, Hutchinson, Amy, Jacobs, Kevin B, Call, Timothy G, Shanafelt, Tait D, Novak, Anne J, Kay, Neil E, Liebow, Mark, Wang, Alice H, Smedby, Karin E, Adami, Hans-Olov, Melbye, Mads, Glimelius, Bengt, Chang, Ellen T, Glenn, Martha, Curtin, Karen, Cannon-Albright, Lisa A, Jones, Brandt, Diver, W Ryan, Link, Brian K, Weiner, George J, Conde, Lucia, Bracci, Paige M, Riby, Jacques, Holly, Elizabeth A, Smith, Martyn T, Jackson, Rebecca D, Tinker, Lesley F, Benavente, Yolanda, Becker, Nikolaus, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, McKay, James, Staines, Anthony, Rabe, Kari G, Achenbach, Sara J, Vachon, Celine M, Goldin, Lynn R, Strom, Sara S, Lanasa, Mark C, Spector, Logan G, Leis, Jose F, Cunningham, Julie M, Weinberg, J Brice, Morrison, Vicki A, Caporaso, Neil E, Norman, Aaron D, Linet, Martha S, De Roos, Anneclaire J, Morton, Lindsay M, Severson, Richard K, Riboli, Elio, Vineis, Paolo, Kaaks, Rudolph, Trichopoulos, Dimitrios, Masala, Giovanna, Weiderpass, Elisabete, Chirlaque, María-Dolores, Vermeulen, Roel CH, Travis, Ruth C, Giles, Graham G, Albanes, Demetrius, Virtamo, Jarmo, Weinstein, Stephanie, Clavel, Jacqueline, Zheng, Tongzhang, Holford, Theodore R, Offit, Kenneth, Zelenetz, Andrew, Klein, Robert J, Spinelli, John J, and Bertrand, Kimberly A
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Cancer ,Case-Control Studies ,Chromosomes ,Human ,Pair 2 ,Genetic Loci ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Leukemia ,Lymphocytic ,Chronic ,B-Cell ,Linkage Disequilibrium ,Polymorphism ,Single Nucleotide ,Recombination ,Genetic ,Risk ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - 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.
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- 2013
35. Genome-wide association study of glioma and meta-analysis
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Rajaraman, Preetha, Melin, Beatrice S, Wang, Zhaoming, McKean-Cowdin, Roberta, Michaud, Dominique S, Wang, Sophia S, Bondy, Melissa, Houlston, Richard, Jenkins, Robert B, Wrensch, Margaret, Yeager, Meredith, Ahlbom, Anders, Albanes, Demetrius, Andersson, Ulrika, Freeman, Laura E Beane, Buring, Julie E, Butler, Mary Ann, Braganza, Melissa, Carreon, Tania, Feychting, Maria, Fleming, Sarah J, Gapstur, Susan M, Gaziano, J Michael, Giles, Graham G, Hallmans, Goran, Henriksson, Roger, Hoffman-Bolton, Judith, Inskip, Peter D, Johansen, Christoffer, Kitahara, Cari M, Lathrop, Mark, Liu, Chenwei, Le Marchand, Loic, Linet, Martha S, Lonn, Stefan, Peters, Ulrike, Purdue, Mark P, Rothman, Nathaniel, Ruder, Avima M, Sanson, Marc, Sesso, Howard D, Severi, Gianluca, Shu, Xiao-Ou, Simon, Matthias, Stampfer, Meir, Stevens, Victoria L, Visvanathan, Kala, White, Emily, Wolk, Alicja, Zeleniuch-Jacquotte, Anne, Zheng, Wei, Decker, Paul, Enciso-Mora, Victor, Fridley, Brooke, Gao, Yu-Tang, Kosel, Matthew, Lachance, Daniel H, Lau, Ching, Rice, Terri, Swerdlow, Anthony, Wiemels, Joseph L, Wiencke, John K, Shete, Sanjay, Xiang, Yong-Bing, Xiao, Yuanyuan, Hoover, Robert N, Fraumeni, Joseph F, Chatterjee, Nilanjan, Hartge, Patricia, and Chanock, Stephen J
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Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Clinical Research ,Brain Disorders ,Prevention ,Brain Cancer ,Neurosciences ,Cancer ,Human Genome ,Rare Diseases ,Aetiology ,2.1 Biological and endogenous factors ,Aged ,Brain Neoplasms ,Case-Control Studies ,Cohort Studies ,Cyclin-Dependent Kinase Inhibitor p15 ,DNA Helicases ,Female ,Genome-Wide Association Study ,Glioblastoma ,Glioma ,Humans ,Male ,Middle Aged ,Polymorphism ,Single Nucleotide ,Telomerase ,Complementary and Alternative Medicine ,Paediatrics and Reproductive Medicine ,Genetics & Heredity ,Reproductive medicine - Abstract
Gliomas account for approximately 80 % of all primary malignant brain tumors and, despite improvements in clinical care over the last 20 years, remain among the most lethal tumors, underscoring the need for gaining new insights that could translate into clinical advances. Recent genome-wide association studies (GWAS) have identified seven new susceptibility regions. We conducted a new independent GWAS of glioma using 1,856 cases and 4,955 controls (from 14 cohort studies, 3 case-control studies, and 1 population-based case-only study) and found evidence of strong replication for three of the seven previously reported associations at 20q13.33 (RTEL), 5p15.33 (TERT), and 9p21.3 (CDKN2BAS), and consistent association signals for the remaining four at 7p11.2 (EGFR both loci), 8q24.21 (CCDC26) and 11q23.3 (PHLDB1). The direction and magnitude of the signal were consistent for samples from cohort and case-control studies, but the strength of the association was more pronounced for loci rs6010620 (20q,13.33; RTEL) and rs2736100 (5p15.33, TERT) in cohort studies despite the smaller number of cases in this group, likely due to relatively more higher grade tumors being captured in the cohort studies. We further examined the 85 most promising single nucleotide polymorphism (SNP) markers identified in our study in three replication sets (5,015 cases and 11,601 controls), but no new markers reached genome-wide significance. Our findings suggest that larger studies focusing on novel approaches as well as specific tumor subtypes or subgroups will be required to identify additional common susceptibility loci for glioma risk.
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- 2012
36. GWAS of Follicular Lymphoma Reveals Allelic Heterogeneity at 6p21.32 and Suggests Shared Genetic Susceptibility with Diffuse Large B-cell Lymphoma
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Smedby, Karin E, Foo, Jia Nee, Skibola, Christine F, Darabi, Hatef, Conde, Lucia, Hjalgrim, Henrik, Kumar, Vikrant, Chang, Ellen T, Rothman, Nathaniel, Cerhan, James R, Brooks-Wilson, Angela R, Rehnberg, Emil, Irwan, Ishak D, Ryder, Lars P, Brown, Peter N, Bracci, Paige M, Agana, Luz, Riby, Jacques, Cozen, Wendy, Davis, Scott, Hartge, Patricia, Morton, Lindsay M, Severson, Richard K, Wang, Sophia S, Slager, Susan L, Fredericksen, Zachary S, Novak, Anne J, Kay, Neil E, Habermann, Thomas M, Armstrong, Bruce, Kricker, Anne, Milliken, Sam, Purdue, Mark P, Vajdic, Claire M, Boyle, Peter, Lan, Qing, Zahm, Shelia H, Zhang, Yawei, Zheng, Tongzhang, Leach, Stephen, Spinelli, John J, Smith, Martyn T, Chanock, Stephen J, Padyukov, Leonid, Alfredsson, Lars, Klareskog, Lars, Glimelius, Bengt, Melbye, Mads, Liu, Edison T, Adami, Hans-Olov, Humphreys, Keith, and Liu, Jianjun
- Subjects
Human Genome ,Hematology ,Rare Diseases ,Cancer ,Lymphoma ,Genetics ,Aetiology ,2.1 Biological and endogenous factors ,Chromosomes ,Human ,Pair 6 ,Denmark ,Gene Frequency ,Genetic Predisposition to Disease ,Genetic Variation ,Genome ,Human ,Genome-Wide Association Study ,Haplotypes ,Histocompatibility Antigens Class II ,Humans ,Lymphoma ,Follicular ,Lymphoma ,Large B-Cell ,Diffuse ,Polymorphism ,Single Nucleotide ,Risk Factors ,Sweden ,Developmental Biology - Abstract
Non-Hodgkin lymphoma (NHL) represents a diverse group of hematological malignancies, of which follicular lymphoma (FL) is a prevalent subtype. A previous genome-wide association study has established a marker, rs10484561 in the human leukocyte antigen (HLA) class II region on 6p21.32 associated with increased FL risk. Here, in a three-stage genome-wide association study, starting with a genome-wide scan of 379 FL cases and 791 controls followed by validation in 1,049 cases and 5,790 controls, we identified a second independent FL-associated locus on 6p21.32, rs2647012 (OR(combined) = 0.64, P(combined) = 2 × 10(-21)) located 962 bp away from rs10484561 (r(2)
- Published
- 2011
37. Genome-wide association study of follicular lymphoma identifies a risk locus at 6p21.32
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Conde, Lucia, Halperin, Eran, Akers, Nicholas K, Brown, Kevin M, Smedby, Karin E, Rothman, Nathaniel, Nieters, Alexandra, Slager, Susan L, Brooks-Wilson, Angela, Agana, Luz, Riby, Jacques, Liu, Jianjun, Adami, Hans-Olov, Darabi, Hatef, Hjalgrim, Henrik, Low, Hui-Qi, Humphreys, Keith, Melbye, Mads, Chang, Ellen T, Glimelius, Bengt, Cozen, Wendy, Davis, Scott, Hartge, Patricia, Morton, Lindsay M, Schenk, Maryjean, Wang, Sophia S, Armstrong, Bruce, Kricker, Anne, Milliken, Sam, Purdue, Mark P, Vajdic, Claire M, Boyle, Peter, Lan, Qing, Zahm, Shelia H, Zhang, Yawei, Zheng, Tongzhang, Becker, Nikolaus, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Butterbach, Katja, Cocco, Pierluigi, Foretova, Lenka, Maynadié, Marc, de Sanjosé, Silvia, Staines, Anthony, Spinelli, John J, Achenbach, Sara J, Call, Timothy G, Camp, Nicola J, Glenn, Martha, Caporaso, Neil E, Cerhan, James R, Cunningham, Julie M, Goldin, Lynn R, Hanson, Curtis A, Kay, Neil E, Lanasa, Mark C, Leis, Jose F, Marti, Gerald E, Rabe, Kari G, Rassenti, Laura Z, Spector, Logan G, Strom, Sara S, Vachon, Celine M, Weinberg, J Brice, Holly, Elizabeth A, Chanock, Stephen, Smith, Martyn T, Bracci, Paige M, and Skibola, Christine F
- Subjects
Lymphoma ,Prevention ,Cancer ,Human Genome ,Genetics ,Rare Diseases ,Hematology ,Aetiology ,2.1 Biological and endogenous factors ,Disease Susceptibility ,Genetic Variation ,Genome-Wide Association Study ,Humans ,Leukemia ,Lymphocytic ,Chronic ,B-Cell ,Lymphoma ,Follicular ,Lymphoma ,Non-Hodgkin ,Major Histocompatibility Complex ,Risk Factors ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
To identify susceptibility loci for non-Hodgkin lymphoma subtypes, we conducted a three-stage genome-wide association study. We identified two variants associated with follicular lymphoma at 6p21.32 (rs10484561, combined P = 1.12 x 10(-29) and rs7755224, combined P = 2.00 x 10(-19); r(2) = 1.0), supporting the idea that major histocompatibility complex genetic variation influences follicular lymphoma susceptibility. We also found confirmatory evidence of a previously reported association between chronic lymphocytic leukemia/small lymphocytic lymphoma and rs735665 (combined P = 4.24 x 10(-9)).
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- 2010
38. The Role of Genetic Polymorphisms in Environmental Health
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Kelada, Samir N., Eaton, David L., Wang, Sophia S., Rothman, Nathaniel R., and Khoury, Muin J.
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- 2003
39. Evaluating the use of friend or family controls in epidemiologic case-control studies
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Zhong, Charlie, Cockburn, Myles, Cozen, Wendy, Voutsinas, Jenna, Lacey, James V., Jr., Luo, Jianning, Sullivan-Halley, Jane, Bernstein, Leslie, and Wang, Sophia S.
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- 2017
- Full Text
- View/download PDF
40. Bladder Cancer and Drinking Water: A Population-Based Case-Control Study in Washington County, Maryland (United States)
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Freedman, D. Michal, Cantor, Kenneth P., Lee, Nora L., Chen, Li-Shiun, Lei, Hsien-Hsien, Ruhl, Constance E., and Wang, Sophia S.
- Published
- 1997
41. Supplementary Table 4 from Variations in Chromosomes 9 and 6p21.3 with Risk of Non–Hodgkin Lymphoma
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Wang, Sophia S., primary, Menashe, Idan, primary, Cerhan, James R., primary, Cozen, Wendy, primary, Severson, Richard K., primary, Davis, Scott, primary, Hutchinson, Amy, primary, Rothman, Nathaniel, primary, Chanock, Stephen J., primary, Bernstein, Leslie, primary, Hartge, Patricia, primary, and Morton, Lindsay M., primary
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- 2023
- Full Text
- View/download PDF
42. Supplementary Tables 1 and 2 from Non-Hodgkin Lymphoma, Body Mass Index, and Cytokine Polymorphisms: A Pooled Analysis from the InterLymph Consortium
- Author
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Kane, Eleanor, primary, Skibola, Christine F., primary, Bracci, Paige M., primary, Cerhan, James R., primary, Costas, Laura, primary, Smedby, Karin Ekström, primary, Holly, Elizabeth A., primary, Maynadié, Marc, primary, Novak, Anne J., primary, Lightfoot, Tracy J., primary, Ansell, Stephen M., primary, Smith, Alex G., primary, Liebow, Mark, primary, Melbye, Mads, primary, Morton, Lindsay, primary, de Sanjosé, Silvia, primary, Slager, Susan L., primary, Wang, Sophia S., primary, Zhang, Yawei, primary, Zheng, Tongzhang, primary, and Roman, Eve, primary
- Published
- 2023
- Full Text
- View/download PDF
43. Data from HLA Class I and II Diversity Contributes to the Etiologic Heterogeneity of Non-Hodgkin Lymphoma Subtypes
- Author
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Wang, Sophia S., primary, Carrington, Mary, primary, Berndt, Sonja I., primary, Slager, Susan L., primary, Bracci, Paige M., primary, Voutsinas, Jenna, primary, Cerhan, James R., primary, Smedby, Karin E., primary, Hjalgrim, Henrik, primary, Vijai, Joseph, primary, Morton, Lindsay M., primary, Vermeulen, Roel, primary, Paltiel, Ora, primary, Vajdic, Claire M., primary, Linet, Martha S., primary, Nieters, Alexandra, primary, de Sanjose, Silvia, primary, Cozen, Wendy, primary, Brown, Elizabeth E., primary, Turner, Jennifer, primary, Spinelli, John J., primary, Zheng, Tongzhang, primary, Birmann, Brenda M., primary, Flowers, Christopher R., primary, Becker, Nikolaus, primary, Holly, Elizabeth A., primary, Kane, Eleanor, primary, Weisenburger, Dennis, primary, Maynadie, Marc, primary, Cocco, Pierluigi, primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Teras, Lauren R., primary, Diver, W. Ryan, primary, Lax, Stephanie J., primary, Travis, Ruth C., primary, Kaaks, Rudolph, primary, Riboli, Elio, primary, Benavente, Yolanda, primary, Brennan, Paul, primary, McKay, James, primary, Delfau-Larue, Marie-Hélène, primary, Link, Brian K., primary, Magnani, Corrado, primary, Ennas, Maria Grazia, primary, Latte, Giancarlo, primary, Feldman, Andrew L., primary, Doo, Nicole Wong, primary, Giles, Graham G., primary, Southey, Melissa C., primary, Milne, Roger L., primary, Offit, Kenneth, primary, Musinsky, Jacob, primary, Arslan, Alan A., primary, Purdue, Mark P., primary, Adami, Hans-Olov, primary, Melbye, Mads, primary, Glimelius, Bengt, primary, Conde, Lucia, primary, Camp, Nicola J., primary, Glenn, Martha, primary, Curtin, Karen, primary, Clavel, Jacqueline, primary, Monnereau, Alain, primary, Cox, David G., primary, Ghesquières, Hervé, primary, Salles, Gilles, primary, Bofetta, Paulo, primary, Foretova, Lenka, primary, Staines, Anthony, primary, Davis, Scott, primary, Severson, Richard K., primary, Lan, Qing, primary, Brooks-Wilson, Angela, primary, Smith, Martyn T., primary, Roman, Eve, primary, Kricker, Anne, primary, Zhang, Yawei, primary, Kraft, Peter, primary, Chanock, Stephen J., primary, Rothman, Nathaniel, primary, Hartge, Patricia, primary, and Skibola, Christine F., primary
- Published
- 2023
- Full Text
- View/download PDF
44. Data from Variations in Chromosomes 9 and 6p21.3 with Risk of Non–Hodgkin Lymphoma
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Wang, Sophia S., primary, Menashe, Idan, primary, Cerhan, James R., primary, Cozen, Wendy, primary, Severson, Richard K., primary, Davis, Scott, primary, Hutchinson, Amy, primary, Rothman, Nathaniel, primary, Chanock, Stephen J., primary, Bernstein, Leslie, primary, Hartge, Patricia, primary, and Morton, Lindsay M., primary
- Published
- 2023
- Full Text
- View/download PDF
45. Supplementary Table and Figure Legends from Variations in Chromosomes 9 and 6p21.3 with Risk of Non–Hodgkin Lymphoma
- Author
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Wang, Sophia S., primary, Menashe, Idan, primary, Cerhan, James R., primary, Cozen, Wendy, primary, Severson, Richard K., primary, Davis, Scott, primary, Hutchinson, Amy, primary, Rothman, Nathaniel, primary, Chanock, Stephen J., primary, Bernstein, Leslie, primary, Hartge, Patricia, primary, and Morton, Lindsay M., primary
- Published
- 2023
- Full Text
- View/download PDF
46. Supplementary Table 1 from Variations in Chromosomes 9 and 6p21.3 with Risk of Non–Hodgkin Lymphoma
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Wang, Sophia S., primary, Menashe, Idan, primary, Cerhan, James R., primary, Cozen, Wendy, primary, Severson, Richard K., primary, Davis, Scott, primary, Hutchinson, Amy, primary, Rothman, Nathaniel, primary, Chanock, Stephen J., primary, Bernstein, Leslie, primary, Hartge, Patricia, primary, and Morton, Lindsay M., primary
- Published
- 2023
- Full Text
- View/download PDF
47. Supplementary Table 2 from Variations in Chromosomes 9 and 6p21.3 with Risk of Non–Hodgkin Lymphoma
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Wang, Sophia S., primary, Menashe, Idan, primary, Cerhan, James R., primary, Cozen, Wendy, primary, Severson, Richard K., primary, Davis, Scott, primary, Hutchinson, Amy, primary, Rothman, Nathaniel, primary, Chanock, Stephen J., primary, Bernstein, Leslie, primary, Hartge, Patricia, primary, and Morton, Lindsay M., primary
- Published
- 2023
- Full Text
- View/download PDF
48. Supplementary Table 3 from Variations in Chromosomes 9 and 6p21.3 with Risk of Non–Hodgkin Lymphoma
- Author
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Wang, Sophia S., primary, Menashe, Idan, primary, Cerhan, James R., primary, Cozen, Wendy, primary, Severson, Richard K., primary, Davis, Scott, primary, Hutchinson, Amy, primary, Rothman, Nathaniel, primary, Chanock, Stephen J., primary, Bernstein, Leslie, primary, Hartge, Patricia, primary, and Morton, Lindsay M., primary
- Published
- 2023
- Full Text
- View/download PDF
49. Supplemental Table 1. from A Pooled Analysis of Reproductive Factors, Exogenous Hormone Use, and Risk of Multiple Myeloma among Women in the International Multiple Myeloma Consortium
- Author
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Costas, Laura, primary, Lambert, Brice H., primary, Birmann, Brenda M., primary, Moysich, Kirsten B., primary, De Roos, Anneclaire J., primary, Hofmann, Jonathan N., primary, Baris, Dalsu, primary, Wang, Sophia S., primary, Camp, Nicola J., primary, Tricot, Guido, primary, Atanackovic, Djordje, primary, Brennan, Paul, primary, Cocco, Pierluigi, primary, Nieters, Alexandra, primary, Becker, Nikolaus, primary, Maynadié, Marc, primary, Foretová, Lenka, primary, Boffetta, Paolo, primary, Staines, Anthony, primary, Brown, Elisabeth E., primary, and de Sanjosé, Silvia, primary
- Published
- 2023
- Full Text
- View/download PDF
50. Supplementary Figure 1 from Variations in Chromosomes 9 and 6p21.3 with Risk of Non–Hodgkin Lymphoma
- Author
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Wang, Sophia S., primary, Menashe, Idan, primary, Cerhan, James R., primary, Cozen, Wendy, primary, Severson, Richard K., primary, Davis, Scott, primary, Hutchinson, Amy, primary, Rothman, Nathaniel, primary, Chanock, Stephen J., primary, Bernstein, Leslie, primary, Hartge, Patricia, primary, and Morton, Lindsay M., primary
- Published
- 2023
- Full Text
- View/download PDF
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