2,171 results on '"Wheeler, William"'
Search Results
2. Capturing spin fluctuations in CaCuO\textsubscript{2}: \textit{Ab initio} QMC calculations with multi-determinant wave functions
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Chow, Chun Yu, Wheeler, William A., and Wagner, Lucas K.
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Condensed Matter - Strongly Correlated Electrons - Abstract
We present an advanced \textit{ab initio} quantum Monte Carlo (QMC) calculation of the ground state of undoped CaCuO\textsubscript{2}. We extend the traditional single-determinant Slater-Jastrow approach to include multi-determinant wave functions, inhomogeneous Jastrow factors, and orbital optimization. Our results demonstrate not only an improvement in the variational bound of the ground state energy -- 2.3 eV per formula unit lower than previous state of the art techniques -- but also confirm the presence of spin fluctuations in multi-determinant wave functions in a strongly correlated cuprate system, which is integral to understanding high-$T_c$ superconductivity. This is the first demonstration of capturing spin fluctuations in QMC wave functions on a cuprate, establishing the groundwork for new studies on doped cuprates in the superconducting state, where spin fluctuations require more accurate characterization., Comment: 9 pages, 6 figures
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- 2024
3. An Integrated Assessment Model for Valuing Water Quality Changes in the United States
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Corona, Joel, Doley, Todd, Griffiths, Charles, Massey, Matthew, Moore, Chris, Muela, Stephen, Rashleigh, Brenda, Wheeler, William, Whitlock, Stephen D., and Hewitt, Julie
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- 2020
4. George Szell's Reign: Behind the Scenes with the Cleveland Orchestra by Marcia Hansen Kraus (review)
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Wheeler, William
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- 2018
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5. Identification of pre-diagnostic lipid sets associated with liver cancer risk using untargeted lipidomics and chemical set analysis: A nested case-control study within the ATBC cohort.
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Barupal, Dinesh, Ramos, Mark, Florio, Andrea, Wheeler, William, Weinstein, Stephanie, Albanes, Demetrius, Graubard, Barry, Petrick, Jessica, McGlynn, Katherine, and Fiehn, Oliver
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ATBC study ,ChemRICH ,ceramides ,lipidomics ,liver cancer ,metabolic reprogramming ,Humans ,Lipidomics ,Case-Control Studies ,Stearoyl-CoA Desaturase ,Gas Chromatography-Mass Spectrometry ,Liver Neoplasms ,Fatty Acids ,Unsaturated ,Fatty Acids ,Monounsaturated ,Triglycerides - Abstract
In pre-disposed individuals, a reprogramming of the hepatic lipid metabolism may support liver cancer initiation. We conducted a high-resolution mass spectrometry based untargeted lipidomics analysis of pre-diagnostic serum samples from a nested case-control study (219 liver cancer cases and 219 controls) within the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study. Out of 462 annotated lipids, 158 (34.2%) were associated with liver cancer risk in a conditional logistic regression analysis at a false discovery rate (FDR)
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- 2024
6. Ensemble variational Monte Carlo for optimization of correlated excited state wave functions
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Wheeler, William A., Kleiner, Kevin G., and Wagner, Lucas K.
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Physics - Computational Physics - Abstract
Variational Monte Carlo methods have recently been applied to the calculation of excited states; however, it is still an open question what objective function is most effective. A promising approach is to optimize excited states using a penalty to minimize overlap with lower eigenstates, which has the drawback that states must be computed one at a time. We derive a general framework for constructing objective functions with minima at the the lowest $N$ eigenstates of a many-body Hamiltonian. The objective function uses a weighted average of the energies and an overlap penalty, which must satisfy several conditions. We show this objective function has a minimum at the exact eigenstates for a finite penalty, and provide a few strategies to minimize the objective function. The method is demonstrated using ab initio variational Monte Carlo to calculate the degenerate first excited state of a CO molecule., Comment: 7 pages, 4 figures
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- 2023
7. Andrew Wiles' Proof of Fermat's Last Theorem, As Expected, Does Not Require a Large Cardinal Axiom. A Discussion of Colin McLarty's 'The Large Structures of Grothendieck Founded on Finite-Order Arithmetic'
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Wheeler, William H.
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Mathematics - Logic ,03-02 (Primary) 11-02 (Secondary) - Abstract
Andrew Wiles' proof of Fermat's Last Theorem, with an assist from Richard Taylor, focused renewed attention on the foundational question of whether the use of Grothendieck's Universes in number theory entails that the results proved therewith make essential use of the large cardinal axiom that there is an uncountable strongly inaccessible cardinal, or more generally, that every cardinal is less than a strongly inaccessible cardinal. If one traces back through the references in Wiles' proof, one finds that the proof does depend upon explicit use of Grothendieck's Universes. Thus, prima facie, it appears that the proof of Fermat's Last Theorem depends upon a foundation that is strictly stronger than ZFC. Colin McLarty removes this appearance by demonstrating that all of Grothendieck's large tools, i.e., entities whose construction depended upon Grothendieck's Universes, can instead be founded on a fragment of ZFC with the logical strength of Finite-Order Arithmetic. The goal of this article is to present overviews both of the history of Fermat's Last Theorem and of McLarty's foundation for Grothendieck's large tools., Comment: 15 pages, 2 tables. A Presentation to the Indiana University, Bloomington, Logic Seminar
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- 2023
8. Unlimited Category Theories for Mathematics are Inconsistent: A Discussion of Michael Ernst's 'The Prospects for Unlimited Category Theory: Doing What Remains to be Done'
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Wheeler, William H.
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Mathematics - Category Theory ,Mathematics - Logic ,18-02 (Primary) 03-02 (Secondary) - Abstract
Proponents of category theory long hoped to escape the limits of set theory by founding mathematics on an unlimited category theory in which large categories, such as the category Grp of all groups, the category Top of all topological spaces, and the category Cat of all categories, would be (first-class) entities rather than just classes. Several proposals were put forward by Lawvere, MacLane, and Feferman, but none were successful. Feferman, in 1969 and 2013, proposed three requirements which an axiomatic theory of categories should fulfull in order to be an "unlimited category theory for mathematics". But in 2015 Michael Ernst proved that if an axiomatic theory of categories satisfied Fefermann's three requirements, then it is inconsistent. This paper, a presentation to the Indiana University, Bloomington, Logic Seminar, exposits Ernst's paper., Comment: 5 pages
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- 2023
9. PyQMC: an all-Python real-space quantum Monte Carlo module in PySCF
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Wheeler, William A., Pathak, Shivesh, Kleiner, Kevin, Yuan, Shunyue, Rodrigues, João N. B., Lorsung, Cooper, Krongchon, Kittithat, Chang, Yueqing, Zhou, Yiqing, Busemeyer, Brian, Williams, Kiel T., Muñoz, Alexander, Chow, Chun Yu, and Wagner, Lucas K.
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Condensed Matter - Materials Science ,Physics - Chemical Physics - Abstract
We describe a new open-source Python-based package for high accuracy correlated electron calculations using quantum Monte Carlo (QMC) in real space: PyQMC. PyQMC implements modern versions of QMC algorithms in an accessible format, enabling algorithmic development and easy implementation of complex workflows. Tight integration with the PySCF environment allows for simple comparison between QMC calculations and other many-body wave function techniques, as well as access to high accuracy trial wave functions.
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- 2022
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10. From Quebradita to Duranguense: Dance in Mexican American Youth Culture (review)
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Wheeler, William
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- 2012
11. Genetically inferred birthweight, height, and puberty timing and risk of osteosarcoma
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Gianferante, D. Matthew, Moore, Amy, Spector, Logan G., Wheeler, William, Yang, Tianzhong, Hubbard, Aubrey, Gorlick, Richard, Patiño-Garcia, Ana, Lecanda, Fernando, Flanagan, Adrienne M., Amary, Fernanda, Andrulis, Irene L., Wunder, Jay S., Thomas, David M., Ballinger, Mandy L., Serra, Massimo, Hattinger, Claudia, Demerath, Ellen, Johnson, Will, Birmann, Brenda M., De Vivo, Immaculata, Giles, Graham, Teras, Lauren R., Arslan, Alan, Vermeulen, Roel, Sample, Jeannette, Freedman, Neal D., Huang, Wen-Yi, Chanock, Stephen J., Savage, Sharon A., Berndt, Sonja I., and Mirabello, Lisa
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- 2024
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12. Biological Polishing Tool: Element Removal in the Water Column
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Wheeler, William N., Paulo, Carlos, Herbst, Anne, Schubert, Hendrik, Meinrath, Guenther, Kalin-Seidenfaden, Margarete, Kalin-Seidenfaden, Margarete, editor, and Wheeler, William N., editor
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- 2022
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13. Genome-wide Association Study of Bladder Cancer Reveals New Biological and Translational Insights
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Koutros, Stella, Kiemeney, Lambertus A., Pal Choudhury, Parichoy, Milne, Roger L., Lopez de Maturana, Evangelina, Ye, Yuanqing, Joseph, Vijai, Florez-Vargas, Oscar, Dyrskjøt, Lars, Figueroa, Jonine, Dutta, Diptavo, Giles, Graham G., Hildebrandt, Michelle A.T., Offit, Kenneth, Kogevinas, Manolis, Weiderpass, Elisabete, McCullough, Marjorie L., Freedman, Neal D., Albanes, Demetrius, Kooperberg, Charles, Cortessis, Victoria K., Karagas, Margaret R., Johnson, Alison, Schwenn, Molly R., Baris, Dalsu, Furberg, Helena, Bajorin, Dean F., Cussenot, Olivier, Cancel-Tassin, Geraldine, Benhamou, Simone, Kraft, Peter, Porru, Stefano, Carta, Angela, Bishop, Timothy, Southey, Melissa C., Matullo, Giuseppe, Fletcher, Tony, Kumar, Rajiv, Taylor, Jack A., Lamy, Philippe, Prip, Frederik, Kalisz, Mark, Weinstein, Stephanie J., Hengstler, Jan G., Selinski, Silvia, Harland, Mark, Teo, Mark, Kiltie, Anne E., Tardón, Adonina, Serra, Consol, Carrato, Alfredo, García-Closas, Reina, Lloreta, Josep, Schned, Alan, Lenz, Petra, Riboli, Elio, Brennan, Paul, Tjønneland, Anne, Otto, Thomas, Ovsiannikov, Daniel, Volkert, Frank, Vermeulen, Sita H., Aben, Katja K., Galesloot, Tessel E., Turman, Constance, De Vivo, Immaculata, Giovannucci, Edward, Hunter, David J., Hohensee, Chancellor, Hunt, Rebecca, Patel, Alpa V., Huang, Wen-Yi, Thorleifsson, Gudmar, Gago-Dominguez, Manuela, Amiano, Pilar, Golka, Klaus, Stern, Mariana C., Yan, Wusheng, Liu, Jia, Li, Shengchao Alfred, Katta, Shilpa, Hutchinson, Amy, Hicks, Belynda, Wheeler, William A., Purdue, Mark P., McGlynn, Katherine A., Kitahara, Cari M., Haiman, Christopher A., Greene, Mark H., Rafnar, Thorunn, Chatterjee, Nilanjan, Chanock, Stephen J., Wu, Xifeng, Real, Francisco X., Silverman, Debra T., Garcia-Closas, Montserrat, Stefansson, Kari, Prokunina-Olsson, Ludmila, Malats, Núria, and Rothman, Nathaniel
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- 2023
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14. Many-Body Electric Multipole Operators in Extended Systems
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Wheeler, William A., Wagner, Lucas K., and Hughes, Taylor L.
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Condensed Matter - Strongly Correlated Electrons - Abstract
The quantum mechanical position operators, and their products, are not well-defined in systems obeying periodic boundary conditions. Here we extend the work of Resta who developed a formalism to calculate the electronic polarization as an expectation value of a many-body operator, to include higher multipole moments, e.g., quadrupole and octupole. We define $n$-th order multipole operators whose expectation values can be used to calculate the $n$-th multipole moment when all of the lower moments are vanishing (modulo a quantum). We show that changes in our operators are tied to flows of $n-1$-st multipole currents, and encode the adiabatic evolution of the system in the presence of an $n-1$-st gradient of the electric field. Finally, we test our operators on a set of tightbinding models to show that they correctly determine the phase diagrams of topological quadrupole and octupole models, capture an adiabatic quadrupole pump, and distinguish a bulk quadrupole moment from other mechanisms that generate corner charges., Comment: 12 pages (6 figures), v2 contains updates for clarity and a new discussion linking this work to other recent related work
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- 2018
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15. Environment and Post-Soviet Transformation in Kazakhstan’s Aral Sea Region
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Wheeler, William
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anthropology ,Aral Sea ,Kazakhstan ,fishing ,ethnography ,post-Soviet ,GEOGRAPHY ,history ,environmental history ,political ecology ,USSR ,Soviet ,thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHM Anthropology::JHMC Social and cultural anthropology - Abstract
The Aral Sea is well known for its devastating regression over the second half of the twentieth century, and for its recent partial restoration. Environment and Post-Soviet Transformation in Kazakhstan’s Aral Sea Region is the first book to explore what these monumental changes have meant to those living on the sea’s shores. Following the fluctuating fortunes of the pre-Soviet, Soviet and post-Soviet fisheries, the book shows how the vast environmental changes the region has undergone cannot be disentangled from the transformations of Soviet socialism and postsocialism. This ethnographic perspective prompts a critical rethinking of the category of environmental disaster through which the region is predominantly known. Tracing how the sea’s retreat and partial return have been apprehended by diverse local actors in the former port of Aral’sk and surrounding fishing villages, as well as by scientists, bureaucrats and international development workers, William Wheeler draws out the multiple meanings environmental change acquires within different contexts. This study of how people make their lives amidst overlapping ecological and political-economic upheavals is rich in ethnographic detail that is both rooted in Soviet legacies and alive to the new transnational connections that are reshaping the region. Offering a rigorous political ecology of Soviet socialism and after, the book is a major contribution to the nascent environmental anthropology of Central Asia. It will be of interest to environmental anthropologists, environmental historians, and scholars of all disciplines working on Central Asia and the former USSR.
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- 2021
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16. Emerging Fungal Pathogen Rhodotorula Species Isolated From a Patient With a Lung Malignancy
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Wheeler, William, primary, Clark, Christopher, additional, and DiGiuseppe, Stephen, additional
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- 2024
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17. Postmortem Analysis of 18650 Graphite/LFP Cells in a Long-Term Aging Study for Second-Life Applications
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Wheeler, William, primary, Bultel, Yann, additional, Venet, Pascal, additional, Sari, Ali, additional, and Riviere, Elie, additional
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- 2024
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18. HOW MUCH IS AN ALBUM WORTH?: THE SEVENTH CIRCUIT’S APPROACH TO DEFINING ONE STATUTORY “WORK” UNDER THE COPYRIGHT ACT OF 1976.
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WHEELER, WILLIAM
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COPYRIGHT , *ACTIONS & defenses (Law) , *DUE process of law , *DAMAGES (Law) - Abstract
On August 21, 2019, in Sullivan v. Flora, the U.S. Court of Appeals for the Seventh Circuit adopted the Independent Economic Value Test (IEV Test) to ascertain whether the constituent elements of a copyrighted material were multiple “individual works” or a “compilation” for purposes of statutory damages. In practice, this means that copyright owners, particularly in the music industry, can obtain significantly larger damages by permitting individual awards for each song within an album. The Seventh Circuit, in adopting the IEV Test, joined a growing list of federal circuit courts that rejected the U.S. Court of Appeals for the Second Circuit’s more limited issuance test, which evaluates the group nature of the copyrighted material as promulgated by the copyright holder. This Comment argues that the IEV Test adopted in Sullivan is the better of the two approaches because it respects Congress’s intent to allow for an objective and particularized analysis of the constituent elements of large collections of copyrighted material. Furthermore, it argues that the IEV Test could be further enhanced with structured jury instructions and the addition of a Fifth Amendment constitutional due process defense that defendants can assert when the aggregate award of statutory damages is excessive. [ABSTRACT FROM AUTHOR]
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- 2024
19. Ensemble variational Monte Carlo for optimization of correlated excited state wave functions
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Wheeler, William A., primary, Kleiner, Kevin G., additional, and Wagner, Lucas K, additional
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- 2024
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20. ‘When they’re lying, and they say you’re lying, then there’s no hope’: Asylum-seeking, trauma, and the abusive state
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Wheeler, William, primary
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- 2024
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21. Predischarge death or lung transplantation in tracheostomy and ventilator dependent grade 3 bronchopulmonary dysplasia
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Maynard, Roy, primary, Armstrong, Madeline, additional, O'Grady, Katrin, additional, Moore, Brooke, additional, Kurachek, Stephen, additional, Mallory, George B., additional, and Wheeler, William, additional
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- 2024
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22. Mendelian Randomization Test of Causal Effect Using High-Dimensional Summary Data
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Deng, Lu, primary, Wheeler, William, additional, and Yu, Kai, additional
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- 2024
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23. Pleiotropic Analysis of Lung Cancer and Blood Triglycerides
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Zuber, Verena, Marconett, Crystal N, Shi, Jianxin, Hua, Xing, Wheeler, William, Yang, Chenchen, Song, Lei, Dale, Anders M, Laplana, Marina, Risch, Angela, Witoelar, Aree, Thompson, Wesley K, Schork, Andrew J, Bettella, Francesco, Wang, Yunpeng, Djurovic, Srdjan, Zhou, Beiyun, Borok, Zea, van der Heijden, Henricus FM, de Graaf, Jacqueline, Swinkels, Dorine, Aben, Katja K, McKay, James, Hung, Rayjean J, Bikeböller, Heike, Stevens, Victoria L, Albanes, Demetrius, Caporaso, Neil E, Han, Younghun, Wei, Yongyue, Panadero, Maria Angeles, Mayordomo, Jose I, Christiani, David C, Kiemeney, Lambertus, Andreassen, Ole A, Houlston, Richard, Amos, Christopher I, Chatterjee, Nilanjan, Laird-Offringa, Ite A, Mills, Ian G, and Landi, Maria Teresa
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Lung ,Tobacco Smoke and Health ,Genetics ,Human Genome ,Tobacco ,Prevention ,Lung Cancer ,Cancer ,2.1 Biological and endogenous factors ,Aetiology ,Cardiovascular Diseases ,Case-Control Studies ,Chromosomes ,Human ,Pair 6 ,Genetic Pleiotropy ,Genome-Wide Association Study ,Humans ,Lung Neoplasms ,Meta-Analysis as Topic ,Polymorphism ,Single Nucleotide ,Risk Factors ,Triglycerides ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
Epidemiologically related traits may share genetic risk factors, and pleiotropic analysis could identify individual loci associated with these traits. Because of their shared epidemiological associations, we conducted pleiotropic analysis of genome-wide association studies of lung cancer (12 160 lung cancer case patients and 16 838 control subjects) and cardiovascular disease risk factors (blood lipids from 188 577 subjects, type 2 diabetes from 148 821 subjects, body mass index from 123 865 subjects, and smoking phenotypes from 74 053 subjects). We found that 6p22.1 (rs6904596, ZNF184) was associated with both lung cancer (P = 5.50x10(-6)) and blood triglycerides (P = 1.39x10(-5)). We replicated the association in 6097 lung cancer case patients and 204 657 control subjects (P = 2.40 × 10(-4)) and in 71 113 subjects with triglycerides data (P = .01). rs6904596 reached genome-wide significance in lung cancer meta-analysis (odds ratio = 1.15, 95% confidence interval = 1.10 to 1.21 ,: Pcombined = 5.20x10(-9)). The large sample size provided by the lipid GWAS data and the shared genetic risk factors between the two traits contributed to the uncovering of a hitherto unidentified genetic locus for lung cancer.
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- 2016
24. PyQMC: An all-Python real-space quantum Monte Carlo module in PySCF.
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Wheeler, William A., Pathak, Shivesh, Kleiner, Kevin G., Yuan, Shunyue, Rodrigues, João N. B., Lorsung, Cooper, Krongchon, Kittithat, Chang, Yueqing, Zhou, Yiqing, Busemeyer, Brian, Williams, Kiel T., Muñoz, Alexander, Chow, Chun Yu, and Wagner, Lucas K.
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QUANTUM Monte Carlo method , *WAVE functions , *ELECTRONS , *ALGORITHMS - Abstract
We describe a new open-source Python-based package for high accuracy correlated electron calculations using quantum Monte Carlo (QMC) in real space: PyQMC. PyQMC implements modern versions of QMC algorithms in an accessible format, enabling algorithmic development and easy implementation of complex workflows. Tight integration with the PySCF environment allows for a simple comparison between QMC calculations and other many-body wave function techniques, as well as access to high accuracy trial wave functions. [ABSTRACT FROM AUTHOR]
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- 2023
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25. Sea changes : environment and political economy on the North Aral Sea, Kazakhstan
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Wheeler, William
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363.7 - Abstract
The Aral Sea regression is globally famous as a devastating ecological disaster, though recently a dam has led to the partial restoration of the North Aral. These ecological changes have overlapped with the collapse of the USSR and resultant political-economic transformations. From ethnographic fieldwork in Aral’sk and fishing villages, and archival research, I argue that the sea’s regression and partial return cannot be analytically separated from political-economic processes of socialism and postsocialism. This study of the entanglements of environmental and political-economic change has, I suggest, implications for anthropological engagements with climate change. Chapter 1 offers narratives of Soviet irrigation policies (which caused the regression) and of the construction of a socialist fishery, arguing that similar political-economic processes drove both. Chapter 2 explores official responses to the regression, especially importing ocean fish for processing in Aral’sk, and sending fishermen to fish elsewhere in Kazakhstan. Chapters 3 and 4 explore how these practices, and their cessation after the collapse of the USSR, shape local understandings of the regression. I thus decentre the environmental disaster narrative. Part 2 examines post-Soviet projects in the region, arguing that the disaster narrative, though partial, rallied actors and mobilised projects, including the dam, which have to some extent reshaped the region. Part 3 analyses the divergent outcomes of the sea’s return today. No longer embedded in the command economy, the sea is enmeshed in new sets of relations connecting fishermen, private actors, state and markets extending as far as Germany. Catch is limited, but over-quota fishing is widespread. For some fishing villages, this has led to new-found prosperity, with extensive ritual expenditure. However, because over-quota fish cannot be sold openly, they do not reach newly-opened factories in Aral’sk, where the sea is felt to be marginal and the fishing industry figures as a symbol of corruption.
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- 2016
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26. Directions of zero thermal expansion and the peritectic transformation in HfTiO4
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McCormack, Scott J., Wheeler, William A., Hulbert, Benjamin S., and Kriven, Waltraud M.
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- 2020
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27. Aging in First and Second Life of G/LFP 18650 Cells: Diagnosis and Evolution of the State of Health of the Cell and the Negative Electrode under Cycling.
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Wheeler, William, Venet, Pascal, Bultel, Yann, Sari, Ali, and Riviere, Elie
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NEGATIVE electrode ,CELLULAR evolution ,REMAINING useful life ,VALUE (Economics) ,LITHIUM-ion batteries - Abstract
Second-life applications for lithium-ion batteries offer the industry opportunities to defer recycling costs, enhance economic value, and reduce environmental impacts. An accurate prognosis of the remaining useful life (RUL) is essential for ensuring effective second-life operation. Diagnosis is a necessary step for the establishment of a reliable prognosis, based on the aging modes involved in a cell. This paper introduces a method for characterizing specific aging phenomenon in Graphite/Lithium Iron Phosphate (G/LFP) cells. This method aims to identify aging related to the loss of active material at the negative electrode (LAM
NE ). The identification and tracking of the state of health (SoH) are based on Incremental Capacity Analysis (ICA) and Differential Voltage Analysis (DVA) peak-tracking techniques. The remaining capacity of the electrode is thus evaluated based on these diagnostic results, using a model derived from half-cell electrode characterization. The method is used on a G/LFP cell in the format 18650, with a nominal capacity of 1.1 Ah, aged from its pristine state to 40% of state of health. [ABSTRACT FROM AUTHOR]- Published
- 2024
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28. Identification of a novel susceptibility locus at 13q34 and refinement of the 20p12.2 region as a multi-signal locus associated with bladder cancer risk in individuals of European ancestry
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Figueroa, Jonine D, Middlebrooks, Candace D, Banday, A Rouf, Ye, Yuanqing, Garcia-Closas, Montserrat, Chatterjee, Nilanjan, Koutros, Stella, Kiemeney, Lambertus A, Rafnar, Thorunn, Bishop, Timothy, Furberg, Helena, Matullo, Giuseppe, Golka, Klaus, Gago-Dominguez, Manuela, Taylor, Jack A, Fletcher, Tony, Siddiq, Afshan, Cortessis, Victoria K, Kooperberg, Charles, Cussenot, Olivier, Benhamou, Simone, Prescott, Jennifer, Porru, Stefano, Dinney, Colin P, Malats, Núria, Baris, Dalsu, Purdue, Mark P, Jacobs, Eric J, Albanes, Demetrius, Wang, Zhaoming, Chung, Charles C, Vermeulen, Sita H, Aben, Katja K, Galesloot, Tessel E, Thorleifsson, Gudmar, Sulem, Patrick, Stefansson, Kari, Kiltie, Anne E, Harland, Mark, Teo, Mark, Offit, Kenneth, Vijai, Joseph, Bajorin, Dean, Kopp, Ryan, Fiorito, Giovanni, Guarrera, Simonetta, Sacerdote, Carlotta, Selinski, Silvia, Hengstler, Jan G, Gerullis, Holger, Ovsiannikov, Daniel, Blaszkewicz, Meinolf, Castelao, Jose Esteban, Calaza, Manuel, Martinez, Maria Elena, Cordeiro, Patricia, Xu, Zongli, Panduri, Vijayalakshmi, Kumar, Rajiv, Gurzau, Eugene, Koppova, Kvetoslava, Bueno-De-Mesquita, H Bas, Ljungberg, Börje, Clavel-Chapelon, Françoise, Weiderpass, Elisabete, Krogh, Vittorio, Dorronsoro, Miren, Travis, Ruth C, Tjønneland, Anne, Brennan, Paul, Chang-Claude, Jenny, Riboli, Elio, Conti, David, Stern, Marianna C, Pike, Malcolm C, Van Den Berg, David, Yuan, Jian-Min, Hohensee, Chancellor, Jeppson, Rebecca P, Cancel-Tassin, Geraldine, Roupret, Morgan, Comperat, Eva, Turman, Constance, De Vivo, Immaculata, Giovannucci, Edward, Hunter, David J, Kraft, Peter, Lindstrom, Sara, Carta, Angela, Pavanello, Sofia, Arici, Cecilia, Mastrangelo, Giuseppe, Kamat, Ashish M, Zhang, Liren, Gong, Yilei, Pu, Xia, Hutchinson, Amy, Burdett, Laurie, Wheeler, William A, and Karagas, Margaret R
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Cancer ,Prevention ,Human Genome ,Genetics ,Biotechnology ,Urologic Diseases ,Aetiology ,2.1 Biological and endogenous factors ,Biomarkers ,Tumor ,Case-Control Studies ,Chromosomes ,Human ,Pair 13 ,Chromosomes ,Human ,Pair 20 ,Female ,Genetic Association Studies ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Linkage Disequilibrium ,Male ,Polymorphism ,Single Nucleotide ,Risk Factors ,Urinary Bladder Neoplasms ,White People ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Candidate gene and genome-wide association studies (GWAS) have identified 15 independent genomic regions associated with bladder cancer risk. In search for additional susceptibility variants, we followed up on four promising single-nucleotide polymorphisms (SNPs) that had not achieved genome-wide significance in 6911 cases and 11 814 controls (rs6104690, rs4510656, rs5003154 and rs4907479, P < 1 × 10(-6)), using additional data from existing GWAS datasets and targeted genotyping for studies that did not have GWAS data. In a combined analysis, which included data on up to 15 058 cases and 286 270 controls, two SNPs achieved genome-wide statistical significance: rs6104690 in a gene desert at 20p12.2 (P = 2.19 × 10(-11)) and rs4907479 within the MCF2L gene at 13q34 (P = 3.3 × 10(-10)). Imputation and fine-mapping analyses were performed in these two regions for a subset of 5551 bladder cancer cases and 10 242 controls. Analyses at the 13q34 region suggest a single signal marked by rs4907479. In contrast, we detected two signals in the 20p12.2 region-the first signal is marked by rs6104690, and the second signal is marked by two moderately correlated SNPs (r(2) = 0.53), rs6108803 and the previously reported rs62185668. The second 20p12.2 signal is more strongly associated with the risk of muscle-invasive (T2-T4 stage) compared with non-muscle-invasive (Ta, T1 stage) bladder cancer (case-case P ≤ 0.02 for both rs62185668 and rs6108803). Functional analyses are needed to explore the biological mechanisms underlying these novel genetic associations with risk for bladder cancer.
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- 2016
29. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for 13 Cancer Types
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Sampson, Joshua N, Wheeler, William A, Yeager, Meredith, Panagiotou, Orestis, Wang, Zhaoming, Berndt, Sonja I, Lan, Qing, Abnet, Christian C, Amundadottir, Laufey T, Figueroa, Jonine D, Landi, Maria Teresa, Mirabello, Lisa, Savage, Sharon A, Taylor, Philip R, De Vivo, Immaculata, McGlynn, Katherine A, Purdue, Mark P, Rajaraman, Preetha, Adami, Hans-Olov, Ahlbom, Anders, Albanes, Demetrius, Amary, Maria Fernanda, An, She-Juan, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L, Angelucci, Emanuele, Ansell, Stephen M, Arici, Cecilia, Armstrong, Bruce K, Arslan, Alan A, Austin, Melissa A, Baris, Dalsu, Barkauskas, Donald A, Bassig, Bryan A, Becker, Nikolaus, Benavente, Yolanda, Benhamou, Simone, Berg, Christine, Van Den Berg, David, Bernstein, Leslie, Bertrand, Kimberly A, Birmann, Brenda M, Black, Amanda, Boeing, Heiner, Boffetta, Paolo, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Brinton, Louise, Brooks-Wilson, Angela R, Bueno-de-Mesquita, H Bas, Burdett, Laurie, Buring, Julie, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chan, John KC, Chang, Ellen T, Chang, Gee-Chen, Chang, I-Shou, Chang, Jiang, Chang-Claude, Jenny, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chu, Chen, Chung-Hsing, Chen, Constance, Chen, Hongyan, Chen, Kexin, Chen, Kuan-Yu, Chen, Kun-Chieh, Chen, Ying, Chen, Ying-Hsiang, Chen, Yi-Song, Chen, Yuh-Min, Chien, Li-Hsin, Chirlaque, María-Dolores, Choi, Jin Eun, Choi, Yi Young, Chow, Wong-Ho, Chung, Charles C, Clavel, Jacqueline, Clavel-Chapelon, Françoise, Cocco, Pierluigi, Colt, Joanne S, Comperat, Eva, Conde, Lucia, Connors, Joseph M, Conti, David, Cortessis, Victoria K, Cotterchio, Michelle, Cozen, Wendy, Crouch, Simon, Crous-Bou, Marta, Cussenot, Olivier, and Davis, Faith G
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Tobacco ,Clinical Research ,Urologic Diseases ,Lung ,Genetics ,Rare Diseases ,Lung Cancer ,Human Genome ,Hematology ,Cancer ,Tobacco Smoke and Health ,Prevention ,Lymphoma ,Adult ,Aged ,Asian People ,Bone Neoplasms ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Kidney Neoplasms ,Leukemia ,Lymphocytic ,Chronic ,B-Cell ,Lung Neoplasms ,Lymphoma ,Large B-Cell ,Diffuse ,Male ,Middle Aged ,Neoplasms ,Osteosarcoma ,Polymorphism ,Single Nucleotide ,Smoking ,Testicular Neoplasms ,Tissue Array Analysis ,Urinary Bladder Neoplasms ,White People ,Oncology and Carcinogenesis ,Oncology & Carcinogenesis - Abstract
BackgroundStudies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.MethodsBetween 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.ResultsGWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.ConclusionOur results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.
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- 2015
30. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types.
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Sampson, Joshua N, Wheeler, William A, Yeager, Meredith, Panagiotou, Orestis, Wang, Zhaoming, Berndt, Sonja I, Lan, Qing, Abnet, Christian C, Amundadottir, Laufey T, Figueroa, Jonine D, Landi, Maria Teresa, Mirabello, Lisa, Savage, Sharon A, Taylor, Philip R, De Vivo, Immaculata, McGlynn, Katherine A, Purdue, Mark P, Rajaraman, Preetha, Adami, Hans-Olov, Ahlbom, Anders, Albanes, Demetrius, Amary, Maria Fernanda, An, She-Juan, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L, Angelucci, Emanuele, Ansell, Stephen M, Arici, Cecilia, Armstrong, Bruce K, Arslan, Alan A, Austin, Melissa A, Baris, Dalsu, Barkauskas, Donald A, Bassig, Bryan A, Becker, Nikolaus, Benavente, Yolanda, Benhamou, Simone, Berg, Christine, Van Den Berg, David, Bernstein, Leslie, Bertrand, Kimberly A, Birmann, Brenda M, Black, Amanda, Boeing, Heiner, Boffetta, Paolo, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Brinton, Louise, Brooks-Wilson, Angela R, Bueno-de-Mesquita, H Bas, Burdett, Laurie, Buring, Julie, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chan, John KC, Chang, Ellen T, Chang, Gee-Chen, Chang, I-Shou, Chang, Jiang, Chang-Claude, Jenny, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chu, Chen, Chung-Hsing, Chen, Constance, Chen, Hongyan, Chen, Kexin, Chen, Kuan-Yu, Chen, Kun-Chieh, Chen, Ying, Chen, Ying-Hsiang, Chen, Yi-Song, Chen, Yuh-Min, Chien, Li-Hsin, Chirlaque, María-Dolores, Choi, Jin Eun, Choi, Yi Young, Chow, Wong-Ho, Chung, Charles C, Clavel, Jacqueline, Clavel-Chapelon, Françoise, Cocco, Pierluigi, Colt, Joanne S, Comperat, Eva, Conde, Lucia, Connors, Joseph M, Conti, David, Cortessis, Victoria K, Cotterchio, Michelle, Cozen, Wendy, Crouch, Simon, Crous-Bou, Marta, Cussenot, Olivier, and Davis, Faith G
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Humans ,Neoplasms ,Osteosarcoma ,Bone Neoplasms ,Testicular Neoplasms ,Lung Neoplasms ,Kidney Neoplasms ,Genetic Predisposition to Disease ,Tissue Array Analysis ,Smoking ,Polymorphism ,Single Nucleotide ,Adult ,Aged ,Middle Aged ,Asian Continental Ancestry Group ,European Continental Ancestry Group ,Female ,Male ,Urinary Bladder Neoplasms ,Leukemia ,Lymphocytic ,Chronic ,B-Cell ,Lymphoma ,Large B-Cell ,Diffuse ,Genome-Wide Association Study ,Polymorphism ,Single Nucleotide ,Leukemia ,Lymphocytic ,Chronic ,B-Cell ,Lymphoma ,Large B-Cell ,Diffuse ,Oncology And Carcinogenesis ,Oncology & Carcinogenesis ,Oncology and Carcinogenesis - Abstract
BackgroundStudies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.MethodsBetween 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.ResultsGWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.ConclusionOur results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.
- Published
- 2015
31. Conversion through Destitution
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Wheeler, William, primary
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- 2021
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32. Two susceptibility loci identified for prostate cancer aggressiveness.
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Berndt, Sonja I, Wang, Zhaoming, Yeager, Meredith, Alavanja, Michael C, Albanes, Demetrius, Amundadottir, Laufey, Andriole, Gerald, Beane Freeman, Laura, Campa, Daniele, Cancel-Tassin, Geraldine, Canzian, Federico, Cornu, Jean-Nicolas, Cussenot, Olivier, Diver, W Ryan, Gapstur, Susan M, Grönberg, Henrik, Haiman, Christopher A, Henderson, Brian, Hutchinson, Amy, Hunter, David J, Key, Timothy J, Kolb, Suzanne, Koutros, Stella, Kraft, Peter, Le Marchand, Loic, Lindström, Sara, Machiela, Mitchell J, Ostrander, Elaine A, Riboli, Elio, Schumacher, Fred, Siddiq, Afshan, Stanford, Janet L, Stevens, Victoria L, Travis, Ruth C, Tsilidis, Konstantinos K, Virtamo, Jarmo, Weinstein, Stephanie, Wilkund, Fredrik, Xu, Jianfeng, Lilly Zheng, S, Yu, Kai, Wheeler, William, Zhang, Han, African Ancestry Prostate Cancer GWAS Consortium, Sampson, Joshua, Black, Amanda, Jacobs, Kevin, Hoover, Robert N, Tucker, Margaret, and Chanock, Stephen J
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African Ancestry Prostate Cancer GWAS Consortium ,Humans ,Prostatic Neoplasms ,Neoplasm Invasiveness ,Genetic Predisposition to Disease ,Case-Control Studies ,Male ,Genetic Loci ,Neoplasm Grading - Abstract
Most men diagnosed with prostate cancer will experience indolent disease; hence, discovering genetic variants that distinguish aggressive from nonaggressive prostate cancer is of critical clinical importance for disease prevention and treatment. In a multistage, case-only genome-wide association study of 12,518 prostate cancer cases, we identify two loci associated with Gleason score, a pathological measure of disease aggressiveness: rs35148638 at 5q14.3 (RASA1, P=6.49 × 10(-9)) and rs78943174 at 3q26.31 (NAALADL2, P=4.18 × 10(-8)). In a stratified case-control analysis, the SNP at 5q14.3 appears specific for aggressive prostate cancer (P=8.85 × 10(-5)) with no association for nonaggressive prostate cancer compared with controls (P=0.57). The proximity of these loci to genes involved in vascular disease suggests potential biological mechanisms worthy of further investigation.
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- 2015
33. Assessing water stress in a high-density apple orchard using trunk circumference variation, sap flow index and stem water potential
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Wheeler, William D., primary, Black, Brent, additional, and Bugbee, Bruce, additional
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- 2023
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34. Genetically inferred birthweight, height, and puberty timing and risk of osteosarcoma
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Gianferante, D. Matthew, primary, Moore, Amy, additional, Spector, Logan G., additional, Wheeler, William, additional, Yang, Tianzhong, additional, Hubbard, Aubrey, additional, Gorlick, Richard, additional, Patiño-Garcia, Ana, additional, Lecanda, Fernando, additional, Flanagan, Adrienne M., additional, Amary, Fernanda, additional, Andrulis, Irene L., additional, Wunder, Jay S., additional, Thomas, David M., additional, Ballinger, Mandy L., additional, Serra, Massimo, additional, Hattinger, Claudia, additional, Demerath, Ellen, additional, Johnson, Will, additional, Birmann, Brenda M., additional, De Vivo, Immaculata, additional, Giles, Graham, additional, Teras, Lauren R., additional, Arslan, Alan, additional, Vermeulen, Roel, additional, Sample, Jeannette, additional, Freedman, Neal D., additional, Huang, Wen-Yi, additional, Chanock, Stephen J., additional, Savage, Sharon A., additional, Berndt, Sonja I., additional, and Mirabello, Lisa, additional
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- 2023
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35. Mitigating Disaster : The Aral Sea and (Post-)Soviet Property
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Wheeler, William
- Published
- 2018
36. Measuring the social benefits of water quality improvements to support regulatory objectives: Progress and future directions
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Moore, Chris C., primary, Corona, Joel, additional, Griffiths, Charles, additional, Heberling, Matthew T., additional, Hewitt, Julie A., additional, Keiser, David A., additional, Kling, Catherine L., additional, Massey, D. Matthew, additional, Papenfus, Michael, additional, Phaneuf, Daniel J., additional, Smith, David J., additional, Vossler, Christian A., additional, and Wheeler, William, additional
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- 2023
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37. Data from Inherited Variation at Chromosome 12p13.33, Including RAD52, Influences the Risk of Squamous Cell Lung Carcinoma
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Shi, Jianxin, primary, Chatterjee, Nilanjan, primary, Rotunno, Melissa, primary, Wang, Yufei, primary, Pesatori, Angela C., primary, Consonni, Dario, primary, Li, Peng, primary, Wheeler, William, primary, Broderick, Peter, primary, Henrion, Marc, primary, Eisen, Timothy, primary, Wang, Zhaoming, primary, Chen, Wei, primary, Dong, Qiong, primary, Albanes, Demetrius, primary, Thun, Michael, primary, Spitz, Margaret R., primary, Bertazzi, Pier Alberto, primary, Caporaso, Neil E., primary, Chanock, Stephen J., primary, Amos, Christopher I., primary, Houlston, Richard S., primary, and Landi, Maria Teresa, primary
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- 2023
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38. Supplementary Methods, Figure 1, Tables 1-6 from Inherited Variation at Chromosome 12p13.33, Including RAD52, Influences the Risk of Squamous Cell Lung Carcinoma
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Shi, Jianxin, primary, Chatterjee, Nilanjan, primary, Rotunno, Melissa, primary, Wang, Yufei, primary, Pesatori, Angela C., primary, Consonni, Dario, primary, Li, Peng, primary, Wheeler, William, primary, Broderick, Peter, primary, Henrion, Marc, primary, Eisen, Timothy, primary, Wang, Zhaoming, primary, Chen, Wei, primary, Dong, Qiong, primary, Albanes, Demetrius, primary, Thun, Michael, primary, Spitz, Margaret R., primary, Bertazzi, Pier Alberto, primary, Caporaso, Neil E., primary, Chanock, Stephen J., primary, Amos, Christopher I., primary, Houlston, Richard S., primary, and Landi, Maria Teresa, primary
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- 2023
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39. Letters of William Wheeler of the Class of 1855, Y.C.
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Wheeler, William, 1836-1864 Author, Lee, Francis M., 1830- Author, and Wheeler, William, 1836-1864 Author
40. Measurements of Canada Goose Morphology: Sources of Error and Effects on Classification of Subspecies
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Rasmussen, Paul W., Wheeler, William E., Moser, Timothy J., Vine, Lawrence E., Sullivan, Brian D., and Rusch, Donald H.
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- 2001
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41. Mining, Ecological Engineering, and Metals Extraction for the 21st Century
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Kalin, Margarete, Wheeler, William N., Sudbury, Michael P., and Harris, Bryn
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- 2018
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42. EPA's Approach to Controlling Pollution from Animal Feeding Operations: An Economic Analysis
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Johnson, Renée Selinsky, Wheeler, William J., and Christensen, Lee A.
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- 1999
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43. Benefit Transfer for Water Quality Regulatory Rulemaking in the United States
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Wheeler, William J., Bateman, I. J., Series editor, Johnston, Robert J., editor, Rolfe, John, editor, Rosenberger, Randall S., editor, and Brouwer, Roy, editor
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- 2015
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44. Benefit Transfer Challenges: Perspectives from U.S. Practitioners
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Newbold, Stephen, David Simpson, R., Matthew Massey, D., Heberling, Matthew T., Wheeler, William, Corona, Joel, and Hewitt, Julie
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- 2018
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45. Supplementary table 8 from Smoking Modifies Pancreatic Cancer Risk Loci on 2q21.3
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Mocci, Evelina, primary, Kundu, Prosenjit, primary, Wheeler, William, primary, Arslan, Alan A., primary, Beane-Freeman, Laura E., primary, Bracci, Paige M., primary, Brennan, Paul, primary, Canzian, Federico, primary, Du, Mengmeng, primary, Gallinger, Steven, primary, Giles, Graham G., primary, Goodman, Phyllis J., primary, Kooperberg, Charles, primary, Le Marchand, Loic, primary, Neale, Rachel E., primary, Shu, Xiao-Ou, primary, Visvanathan, Kala, primary, White, Emily, primary, Zheng, Wei, primary, Albanes, Demetrius, primary, Andreotti, Gabriella, primary, Babic, Ana, primary, Bamlet, William R., primary, Berndt, Sonja I., primary, Blackford, Amanda L., primary, Bueno-de-Mesquita, Bas, primary, Buring, Julie E., primary, Campa, Daniele, primary, Chanock, Stephen J., primary, Childs, Erica J., primary, Duell, Eric J., primary, Fuchs, Charles S., primary, Gaziano, J. Michael, primary, Giovannucci, Edward L., primary, Goggins, Michael G., primary, Hartge, Patricia, primary, Hassan, Manal M., primary, Holly, Elizabeth A., primary, Hoover, Robert N., primary, Hung, Rayjean J., primary, Kurtz, Robert C., primary, Lee, I-Min, primary, Malats, Núria, primary, Milne, Roger L., primary, Ng, Kimmie, primary, Oberg, Ann L., primary, Panico, Salvatore, primary, Peters, Ulrike, primary, Porta, Miquel, primary, Rabe, Kari G., primary, Riboli, Elio, primary, Rothman, Nathaniel, primary, Scelo, Ghislaine, primary, Sesso, Howard D., primary, Silverman, Debra T., primary, Stevens, Victoria L., primary, Strobel, Oliver, primary, Thompson, Ian M., primary, Tjonneland, Anne, primary, Trichopoulou, Antonia, primary, Van Den Eeden, Stephen K., primary, Wactawski-Wende, Jean, primary, Wentzensen, Nicolas, primary, Wilkens, Lynne R., primary, Yu, Herbert, primary, Yuan, Fangcheng, primary, Zeleniuch-Jacquotte, Anne, primary, Amundadottir, Laufey T., primary, Li, Donghui, primary, Jacobs, Eric J., primary, Petersen, Gloria M., primary, Wolpin, Brian M., primary, Risch, Harvey A., primary, Kraft, Peter, primary, Chatterjee, Nilanjan, primary, Klein, Alison P., primary, and Stolzenberg-Solomon, Rachael, primary
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- 2023
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46. Supplementary Tables from Genome-Wide Association Study Data Reveal Genetic Susceptibility to Chronic Inflammatory Intestinal Diseases and Pancreatic Ductal Adenocarcinoma Risk
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Yuan, Fangcheng, primary, Hung, Rayjean J., primary, Walsh, Naomi, primary, Zhang, Han, primary, Platz, Elizabeth A., primary, Wheeler, William, primary, Song, Lei, primary, Arslan, Alan A., primary, Beane Freeman, Laura E., primary, Bracci, Paige, primary, Canzian, Federico, primary, Du, Mengmeng, primary, Gallinger, Steven, primary, Giles, Graham G., primary, Goodman, Phyllis J., primary, Kooperberg, Charles, primary, Le Marchand, Loic, primary, Neale, Rachel E., primary, Rosendahl, Jonas, primary, Scelo, Ghislaine, primary, Shu, Xiao-Ou, primary, Visvanathan, Kala, primary, White, Emily, primary, Zheng, Wei, primary, Albanes, Demetrius, primary, Amiano, Pilar, primary, Andreotti, Gabriella, primary, Babic, Ana, primary, Bamlet, William R., primary, Berndt, Sonja I., primary, Brennan, Paul, primary, Bueno-de-Mesquita, Bas, primary, Buring, Julie E., primary, Campbell, Peter T., primary, Chanock, Stephen J., primary, Fuchs, Charles S., primary, Gaziano, J. Michael, primary, Goggins, Michael G., primary, Hackert, Thilo, primary, Hartge, Patricia, primary, Hassan, Manal M., primary, Holly, Elizabeth A., primary, Hoover, Robert N., primary, Katzke, Verena, primary, Kirsten, Holger, primary, Kurtz, Robert C., primary, Lee, I-Min, primary, Malats, Nuria, primary, Milne, Roger L., primary, Murphy, Neil, primary, Ng, Kimmie, primary, Oberg, Ann L., primary, Porta, Miquel, primary, Rabe, Kari G., primary, Real, Francisco X., primary, Rothman, Nathaniel, primary, Sesso, Howard D., primary, Silverman, Debra T., primary, Thompson, Ian M., primary, Wactawski-Wende, Jean, primary, Wang, Xiaoliang, primary, Wentzensen, Nicolas, primary, Wilkens, Lynne R., primary, Yu, Herbert, primary, Zeleniuch-Jacquotte, Anne, primary, Shi, Jianxin, primary, Duell, Eric J., primary, Amundadottir, Laufey T., primary, Li, Donghui, primary, Petersen, Gloria M., primary, Wolpin, Brian M., primary, Risch, Harvey A., primary, Yu, Kai, primary, Klein, Alison P., primary, and Stolzenberg-Solomon, Rachael, primary
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- 2023
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47. Data from Smoking Modifies Pancreatic Cancer Risk Loci on 2q21.3
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Mocci, Evelina, primary, Kundu, Prosenjit, primary, Wheeler, William, primary, Arslan, Alan A., primary, Beane-Freeman, Laura E., primary, Bracci, Paige M., primary, Brennan, Paul, primary, Canzian, Federico, primary, Du, Mengmeng, primary, Gallinger, Steven, primary, Giles, Graham G., primary, Goodman, Phyllis J., primary, Kooperberg, Charles, primary, Le Marchand, Loic, primary, Neale, Rachel E., primary, Shu, Xiao-Ou, primary, Visvanathan, Kala, primary, White, Emily, primary, Zheng, Wei, primary, Albanes, Demetrius, primary, Andreotti, Gabriella, primary, Babic, Ana, primary, Bamlet, William R., primary, Berndt, Sonja I., primary, Blackford, Amanda L., primary, Bueno-de-Mesquita, Bas, primary, Buring, Julie E., primary, Campa, Daniele, primary, Chanock, Stephen J., primary, Childs, Erica J., primary, Duell, Eric J., primary, Fuchs, Charles S., primary, Gaziano, J. Michael, primary, Giovannucci, Edward L., primary, Goggins, Michael G., primary, Hartge, Patricia, primary, Hassan, Manal M., primary, Holly, Elizabeth A., primary, Hoover, Robert N., primary, Hung, Rayjean J., primary, Kurtz, Robert C., primary, Lee, I-Min, primary, Malats, Núria, primary, Milne, Roger L., primary, Ng, Kimmie, primary, Oberg, Ann L., primary, Panico, Salvatore, primary, Peters, Ulrike, primary, Porta, Miquel, primary, Rabe, Kari G., primary, Riboli, Elio, primary, Rothman, Nathaniel, primary, Scelo, Ghislaine, primary, Sesso, Howard D., primary, Silverman, Debra T., primary, Stevens, Victoria L., primary, Strobel, Oliver, primary, Thompson, Ian M., primary, Tjonneland, Anne, primary, Trichopoulou, Antonia, primary, Van Den Eeden, Stephen K., primary, Wactawski-Wende, Jean, primary, Wentzensen, Nicolas, primary, Wilkens, Lynne R., primary, Yu, Herbert, primary, Yuan, Fangcheng, primary, Zeleniuch-Jacquotte, Anne, primary, Amundadottir, Laufey T., primary, Li, Donghui, primary, Jacobs, Eric J., primary, Petersen, Gloria M., primary, Wolpin, Brian M., primary, Risch, Harvey A., primary, Kraft, Peter, primary, Chatterjee, Nilanjan, primary, Klein, Alison P., primary, and Stolzenberg-Solomon, Rachael, primary
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- 2023
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48. Data from Genome-Wide Association Study Data Reveal Genetic Susceptibility to Chronic Inflammatory Intestinal Diseases and Pancreatic Ductal Adenocarcinoma Risk
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Yuan, Fangcheng, primary, Hung, Rayjean J., primary, Walsh, Naomi, primary, Zhang, Han, primary, Platz, Elizabeth A., primary, Wheeler, William, primary, Song, Lei, primary, Arslan, Alan A., primary, Beane Freeman, Laura E., primary, Bracci, Paige, primary, Canzian, Federico, primary, Du, Mengmeng, primary, Gallinger, Steven, primary, Giles, Graham G., primary, Goodman, Phyllis J., primary, Kooperberg, Charles, primary, Le Marchand, Loic, primary, Neale, Rachel E., primary, Rosendahl, Jonas, primary, Scelo, Ghislaine, primary, Shu, Xiao-Ou, primary, Visvanathan, Kala, primary, White, Emily, primary, Zheng, Wei, primary, Albanes, Demetrius, primary, Amiano, Pilar, primary, Andreotti, Gabriella, primary, Babic, Ana, primary, Bamlet, William R., primary, Berndt, Sonja I., primary, Brennan, Paul, primary, Bueno-de-Mesquita, Bas, primary, Buring, Julie E., primary, Campbell, Peter T., primary, Chanock, Stephen J., primary, Fuchs, Charles S., primary, Gaziano, J. Michael, primary, Goggins, Michael G., primary, Hackert, Thilo, primary, Hartge, Patricia, primary, Hassan, Manal M., primary, Holly, Elizabeth A., primary, Hoover, Robert N., primary, Katzke, Verena, primary, Kirsten, Holger, primary, Kurtz, Robert C., primary, Lee, I-Min, primary, Malats, Nuria, primary, Milne, Roger L., primary, Murphy, Neil, primary, Ng, Kimmie, primary, Oberg, Ann L., primary, Porta, Miquel, primary, Rabe, Kari G., primary, Real, Francisco X., primary, Rothman, Nathaniel, primary, Sesso, Howard D., primary, Silverman, Debra T., primary, Thompson, Ian M., primary, Wactawski-Wende, Jean, primary, Wang, Xiaoliang, primary, Wentzensen, Nicolas, primary, Wilkens, Lynne R., primary, Yu, Herbert, primary, Zeleniuch-Jacquotte, Anne, primary, Shi, Jianxin, primary, Duell, Eric J., primary, Amundadottir, Laufey T., primary, Li, Donghui, primary, Petersen, Gloria M., primary, Wolpin, Brian M., primary, Risch, Harvey A., primary, Yu, Kai, primary, Klein, Alison P., primary, and Stolzenberg-Solomon, Rachael, primary
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- 2023
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49. Supplementary Data from Smoking Modifies Pancreatic Cancer Risk Loci on 2q21.3
- Author
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Mocci, Evelina, primary, Kundu, Prosenjit, primary, Wheeler, William, primary, Arslan, Alan A., primary, Beane-Freeman, Laura E., primary, Bracci, Paige M., primary, Brennan, Paul, primary, Canzian, Federico, primary, Du, Mengmeng, primary, Gallinger, Steven, primary, Giles, Graham G., primary, Goodman, Phyllis J., primary, Kooperberg, Charles, primary, Le Marchand, Loic, primary, Neale, Rachel E., primary, Shu, Xiao-Ou, primary, Visvanathan, Kala, primary, White, Emily, primary, Zheng, Wei, primary, Albanes, Demetrius, primary, Andreotti, Gabriella, primary, Babic, Ana, primary, Bamlet, William R., primary, Berndt, Sonja I., primary, Blackford, Amanda L., primary, Bueno-de-Mesquita, Bas, primary, Buring, Julie E., primary, Campa, Daniele, primary, Chanock, Stephen J., primary, Childs, Erica J., primary, Duell, Eric J., primary, Fuchs, Charles S., primary, Gaziano, J. Michael, primary, Giovannucci, Edward L., primary, Goggins, Michael G., primary, Hartge, Patricia, primary, Hassan, Manal M., primary, Holly, Elizabeth A., primary, Hoover, Robert N., primary, Hung, Rayjean J., primary, Kurtz, Robert C., primary, Lee, I-Min, primary, Malats, Núria, primary, Milne, Roger L., primary, Ng, Kimmie, primary, Oberg, Ann L., primary, Panico, Salvatore, primary, Peters, Ulrike, primary, Porta, Miquel, primary, Rabe, Kari G., primary, Riboli, Elio, primary, Rothman, Nathaniel, primary, Scelo, Ghislaine, primary, Sesso, Howard D., primary, Silverman, Debra T., primary, Stevens, Victoria L., primary, Strobel, Oliver, primary, Thompson, Ian M., primary, Tjonneland, Anne, primary, Trichopoulou, Antonia, primary, Van Den Eeden, Stephen K., primary, Wactawski-Wende, Jean, primary, Wentzensen, Nicolas, primary, Wilkens, Lynne R., primary, Yu, Herbert, primary, Yuan, Fangcheng, primary, Zeleniuch-Jacquotte, Anne, primary, Amundadottir, Laufey T., primary, Li, Donghui, primary, Jacobs, Eric J., primary, Petersen, Gloria M., primary, Wolpin, Brian M., primary, Risch, Harvey A., primary, Kraft, Peter, primary, Chatterjee, Nilanjan, primary, Klein, Alison P., primary, and Stolzenberg-Solomon, Rachael, primary
- Published
- 2023
- Full Text
- View/download PDF
50. Data from The 19q12 Bladder Cancer GWAS Signal: Association with Cyclin E Function and Aggressive Disease
- Author
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Fu, Yi-Ping, primary, Kohaar, Indu, primary, Moore, Lee E., primary, Lenz, Petra, primary, Figueroa, Jonine D., primary, Tang, Wei, primary, Porter-Gill, Patricia, primary, Chatterjee, Nilanjan, primary, Scott-Johnson, Alexandra, primary, Garcia-Closas, Montserrat, primary, Muchmore, Brian, primary, Baris, Dalsu, primary, Paquin, Ashley, primary, Ylaya, Kris, primary, Schwenn, Molly, primary, Apolo, Andrea B., primary, Karagas, Margaret R., primary, Tarway, McAnthony, primary, Johnson, Alison, primary, Mumy, Adam, primary, Schned, Alan, primary, Guedez, Liliana, primary, Jones, Michael A., primary, Kida, Masatoshi, primary, Hosain, GM Monawar, primary, Malats, Nuria, primary, Kogevinas, Manolis, primary, Tardon, Adonina, primary, Serra, Consol, primary, Carrato, Alfredo, primary, Garcia-Closas, Reina, primary, Lloreta, Josep, primary, Wu, Xifeng, primary, Purdue, Mark, primary, Andriole, Gerald L., primary, Grubb, Robert L., primary, Black, Amanda, primary, Landi, Maria T., primary, Caporaso, Neil E., primary, Vineis, Paolo, primary, Siddiq, Afshan, primary, Bueno-de-Mesquita, H. Bas, primary, Trichopoulos, Dimitrios, primary, Ljungberg, Börje, primary, Severi, Gianluca, primary, Weiderpass, Elisabete, primary, Krogh, Vittorio, primary, Dorronsoro, Miren, primary, Travis, Ruth C., primary, Tjønneland, Anne, primary, Brennan, Paul, primary, Chang-Claude, Jenny, primary, Riboli, Elio, primary, Prescott, Jennifer, primary, Chen, Constance, primary, De Vivo, Immaculata, primary, Govannucci, Edward, primary, Hunter, David, primary, Kraft, Peter, primary, Lindstrom, Sara, primary, Gapstur, Susan M., primary, Jacobs, Eric J., primary, Diver, W. Ryan, primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Virtamo, Jarmo, primary, Kooperberg, Charles, primary, Hohensee, Chancellor, primary, Rodabough, Rebecca J., primary, Cortessis, Victoria K., primary, Conti, David V., primary, Gago-Dominguez, Manuela, primary, Stern, Mariana C., primary, Pike, Malcolm C., primary, Van Den Berg, David, primary, Yuan, Jian-Min, primary, Haiman, Christopher A., primary, Cussenot, Olivier, primary, Cancel-Tassin, Geraldine, primary, Roupret, Morgan, primary, Comperat, Eva, primary, Porru, Stefano, primary, Carta, Angela, primary, Pavanello, Sofia, primary, Arici, Cecilia, primary, Mastrangelo, Giuseppe, primary, Grossman, H. Barton, primary, Wang, Zhaoming, primary, Deng, Xiang, primary, Chung, Charles C., primary, Hutchinson, Amy, primary, Burdette, Laurie, primary, Wheeler, William, primary, Fraumeni, Joseph, primary, Chanock, Stephen J., primary, Hewitt, Stephen M., primary, Silverman, Debra T., primary, Rothman, Nathaniel, primary, and Prokunina-Olsson, Ludmila, primary
- Published
- 2023
- Full Text
- View/download PDF
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