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2. Polygenic risk score and risk of monoclonal B-cell lymphocytosis in caucasians and risk of chronic lymphocytic leukemia (CLL) in African Americans

Author

Kleinstern, Geffen, Weinberg, J Brice, Parikh, Sameer A, Braggio, Esteban, Achenbach, Sara J, Robinson, Dennis P, Norman, Aaron D, Rabe, Kari G, Boddicker, Nicholas J, Vachon, Celine M, Lesnick, Connie E, Call, Timothy G, Brander, Danielle M, Rassenti, Laura Z, Kipps, Thomas J, Olson, Janet E, Cerhan, James R, Kay, Neil E, Furman, Richard R, Hanson, Curtis A, Shanafelt, Tait D, and Slager, Susan L

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Oncology and Carcinogenesis, Health Disparities, Genetics, Hematology, Cancer, Human Genome, Lymphoma, Rare Diseases, Lymphatic Research, Minority Health, Adult, Black or African American, Aged, Aged, 80 and over, B-Lymphocytes, Biomarkers, Tumor, Case-Control Studies, Clone Cells, Female, Follow-Up Studies, Humans, Immunoglobulins, Immunophenotyping, Leukemia, Lymphocytic, Chronic, B-Cell, Lymphocytosis, Male, Middle Aged, Prognosis, Risk Factors, United States, White People, Immunology, Cardiovascular medicine and haematology, Clinical sciences, Oncology and carcinogenesis
Abstract

Monoclonal B-cell lymphocytosis (MBL) is a precursor to CLL. Other than age, sex, and CLL family-history, little is known about factors associated with MBL risk. A polygenic-risk-score (PRS) of 41 CLL-susceptibility variants has been found to be associated with CLL risk among individuals of European-ancestry(EA). Here, we evaluate these variants, the PRS, and environmental factors for MBL risk. We also evaluate these variants and the CLL-PRS among African-American (AA) and EA-CLL cases and controls. Our study included 560 EA MBLs, 869 CLLs (696 EA/173 AA), and 2866 controls (2631 EA/235 AA). We used logistic regression, adjusting for age and sex, to estimate odds ratios (OR) and 95% confidence intervals within each race. We found significant associations with MBL risk among 21 of 41 variants and with the CLL-PRS (OR = 1.86, P = 1.9 × 10-29, c-statistic = 0.72). Little evidence of any association between MBL risk and environmental factors was observed. We observed significant associations of the CLL-PRS with EA-CLL risk (OR = 2.53, P = 4.0 × 10-63, c-statistic = 0.77) and AA-CLL risk (OR = 1.76, P = 5.1 × 10-5, c-statistic = 0.62). Inherited genetic factors and not environmental are associated with MBL risk. In particular, the CLL-PRS is a strong predictor for both risk of MBL and EA-CLL, but less so for AA-CLL supporting the need for further work in this population.

Published
2022

3. Tumor mutational load is prognostic for progression to therapy among high-count monoclonal B-cell lymphocytosis

Author

Kleinstern, Geffen, Boddicker, Nicholas J., O’Brien, Daniel R., Allmer, Cristine, Rabe, Kari G., Norman, Aaron D., Griffin, Rosalie, Yan, Huihuang, Ma, Tao, Call, Timothy G., Bruins, Laura, Brown, Sochilt, Bonolo de Campos, Cecilia, Hanson, Curtis A., Leis, Jose F., Ding, Wei, Vachon, Celine M., Kay, Neil E., Oakes, Christopher C., Parker, Alexander S., Brander, Danielle M., Weinberg, J. Brice, Furman, Richard R., Shanafelt, Tait D., Cerhan, James R., Parikh, Sameer A., Braggio, Esteban, and Slager, Susan L.

Published
2024
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4. Cerebrospinal Fluid Pterins, Pterin-Dependent Neurotransmitters, and Mortality in Pediatric Cerebral Malaria.

Author

Rubach, Matthew P, Mukemba, Jackson P, Florence, Salvatore M, Lopansri, Bert K, Hyland, Keith, Simmons, Ryan A, Langelier, Charles, Nakielny, Sara, DeRisi, Joseph L, Yeo, Tsin W, Anstey, Nicholas M, Weinberg, J Brice, Mwaikambo, Esther D, and Granger, Donald L

Subjects
Neurosciences, Malaria, Pediatric, Vector-Borne Diseases, Rare Diseases, Brain Disorders, Clinical Research, Good Health and Well Being, Biopterin, Central Nervous System Diseases, Child, Child, Preschool, Female, Homovanillic Acid, Humans, Hydroxyindoleacetic Acid, Infant, Malaria, Cerebral, Male, Neopterin, Neurotransmitter Agents, Prospective Studies, Pterins, Reference Values, Tanzania, Tyrosine, cerebral malaria, neopterin, neurotransmitter, P falciparum, tetrahydrobiopterin, P falciparum, Biological Sciences, Medical and Health Sciences, Microbiology
Abstract

BackgroundCerebral malaria (CM) pathogenesis remains incompletely understood. Having shown low systemic levels of tetrahydrobiopterin (BH4), an enzymatic cofactor for neurotransmitter synthesis, we hypothesized that BH4 and BH4-dependent neurotransmitters would likewise be low in cerebrospinal fluid (CSF) in CM.MethodsWe prospectively enrolled Tanzanian children with CM and children with nonmalaria central nervous system conditions (NMCs). We measured CSF levels of BH4, neopterin, and BH4-dependent neurotransmitter metabolites, 3-O-methyldopa, homovanillic acid, and 5-hydroxyindoleacetate, and we derived age-adjusted z-scores using published reference ranges.ResultsCerebrospinal fluid BH4 was elevated in CM (n = 49) compared with NMC (n = 51) (z-score 0.75 vs -0.08; P

Published
2021

7. Genomic characterization of chronic lymphocytic leukemia in patients of African ancestry.

Author

Bonolo de Campos, Cecilia, McCabe, Chantal E., Bruins, Laura A., O'Brien, Daniel R., Brown, Sochilt, Tschumper, Renee C., Allmer, Cristine, Zhu, Yuan Xiao, Rabe, Kari G., Parikh, Sameer A., Kay, Neil E., Yan, Huihuang, Cerhan, James R., Allan, John N., Furman, Richard R., Weinberg, J. Brice, Brander, Danielle M., Jelinek, Diane F., Chesi, Marta, and Slager, Susan L.

Subjects
TUMOR necrosis factors, CHRONIC lymphocytic leukemia, DNA repair, DNA damage, LIFE sciences
Abstract

Despite the considerable effort to characterize the genomic landscape of chronic lymphocytic leukemia (CLL), published data have been almost exclusively derived from patients of European Ancestry (EA), with significant underrepresentation of minorities, including patients of African Ancestry (AA). To begin to address this gap, we evaluated whether differences exist in the genetic and transcriptomic features of 157 AA and 440 EA individuals diagnosed with CLL. We sequenced 59 putative driver genes and found an increased frequency of high-impact mutations in AA CLL, including genes of the DNA damage repair (DDR) pathway. Telomere erosion was also increased in AA CLL, amplifying the notion of increased genomic instability in AA CLL. Furthermore, we found transcription enrichment of the Tumor Necrosis Factor-alpha (TNFα) Signaling via NF-κB pathway in AA CLL compared to EA CLL, suggesting that tumor promoting inflammation plays an important role in AA CLL. In summary, these results suggest that genomic instability and NF-kB activation is more prevalent in AA CLL than EA CLL. [ABSTRACT FROM AUTHOR]

Published
2025
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8. SET alpha and SET beta mRNA isoforms in chronic lymphocytic leukaemia

Author

Brander, Danielle M, Friedman, Daphne R, Volkheimer, Alicia D, Christensen, Dale J, Rassenti, Laura Z, Kipps, Thomas J, Guadalupe, Eross, Chen, Youwei, Zhang, Dadong, Wang, Xi, Davis, Carter, Owzar, Kouros, and Weinberg, J Brice

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Lymphoma, Cancer, Rare Diseases, Clinical Research, Hematology, Genetics, 2.1 Biological and endogenous factors, Aetiology, Adult, Aged, Aged, 80 and over, Alternative Splicing, DNA-Binding Proteins, Disease-Free Survival, Female, Histone Chaperones, Humans, Leukemia, Lymphocytic, Chronic, B-Cell, Male, Middle Aged, Neoplasm Proteins, Protein Isoforms, RNA, Messenger, RNA, Neoplasm, Survival Rate, Transcription Factors, chronic lymphocytic leukaemia, SET, PP2A, alternative RNA splicing, phosphatase, SET, Cardiorespiratory Medicine and Haematology, Immunology, Cardiovascular medicine and haematology
Abstract

Alteration in RNA splicing is implicated in carcinogenesis and progression. Mutations in spliceosome genes and alternative splicing of other genes have been noted in chronic lymphocytic leukaemia (CLL), a common B cell malignancy with heterogeneous outcomes. We previously demonstrated that differences in the amount of SET oncoprotein (a physiological inhibitor of the serine/threonine phosphatase, PP2A) is associated with clinical aggressiveness in patients with CLL. It is unknown if alternative splicing of gene transcripts regulating kinases and phosphatases affects disease pathobiology and CLL progression. We show here for the first time that mRNA levels of the alternatively spliced SET isoforms, SETA and SETB (SETα and SETβ), significantly correlate with disease severity (overall survival and time-to-first-treatment) in CLL patients. In addition, we demonstrate that relative increase of SETA to SETB mRNA can discriminate patients with a more aggressive disease course within the otherwise favourable CLL risk classifications of IGHV mutated and favourable hierarchical fluorescence in situ hybridisation groups. We validate our finding by showing comparable relationships of SET mRNA with disease outcomes using samples from an independent CLL cohort from a separate institution. These findings indicate that alternative splicing of SET, and potentially other signalling cascade molecules, influences CLL biology and patient outcomes.

Published
2019

10. Natural history of monoclonal B-cell lymphocytosis among relatives in CLL families

Author

Slager, Susan L., Lanasa, Mark C., Marti, Gerald E., Achenbach, Sara J., Camp, Nicola J., Abbasi, Fatima, Kay, Neil E., Vachon, Celine M., Cerhan, James R., Johnston, James B., Call, Timothy G., Rabe, Kari G., Kleinstern, Geffen, Boddicker, Nicholas J., Norman, Aaron D., Parikh, Sameer A., Leis, Jose F., Banerji, Versha, Brander, Danielle M., Glenn, Martha, Ferrajoli, Alessandra, Curtin, Karen, Braggio, Esteban, Shanafelt, Tait D., McMaster, Mary L., Weinberg, J. Brice, Hanson, Curtis A., and Caporaso, Neil E.

Published
2021
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15. Monocyte polarization in children with falciparum malaria: relationship to nitric oxide insufficiency and disease severity

Author

Weinberg, J Brice, Volkheimer, Alicia D, Rubach, Matthew P, Florence, Salvatore M, Mukemba, Jackson P, Kalingonji, Ayam R, Langelier, Charles, Chen, Youwei, Bush, Margaret, Yeo, Tsin W, Granger, Donald L, Anstey, Nicholas M, and Mwaikambo, Esther D

Subjects
Medical Microbiology, Biomedical and Clinical Sciences, Clinical Sciences, Pediatric, Rare Diseases, Vector-Borne Diseases, Malaria, Infectious Diseases, 6.1 Pharmaceuticals, Infection, Good Health and Well Being, Antigens, CD, Arginase, Arginine, Biomarkers, Cell Polarity, Chemokines, Child, Child, Preschool, Female, Humans, Malaria, Falciparum, Male, Models, Biological, Monocytes, Nitric Oxide, Phagocytes, Severity of Illness Index
Abstract

We earlier established that nitric oxide (NO) is protective against severe malaria and that arginine and NO levels are reduced in malaria patients. We now show that an M2-like blood monocyte phenotype is significantly associated with hypoargininemia, NO insufficiency, and disease severity in Tanzanian children with falciparum malaria. Compared to control children (n = 106), children with moderately severe (n = 77) and severe falciparum malaria (n = 129) had significantly higher mononuclear cell arginase 1 mRNA, protein, and enzyme activity; lower NOS2 mRNA; lower plasma arginine; and higher plasma IL-10, IL-13, and IL-4. In addition, monocyte CD206 and CD163 and plasma soluble CD163 were elevated. Multivariate logistic regression analysis revealed a significant correlation of risk of severe malaria with both plasma IL-10 and soluble CD163 levels. Monocyte M2 skewing likely contributes to NO bioinsufficiency in falciparum malaria in children. Treatments that reverse the M2 polarization may have potential as adjunctive treatment for malaria.

Published
2016

16. Ethical Framework Principles for Climate Intervention Research

Author

Williams, B., Gershenfeld, J., Goss, H., Guillot, C., Hanson, B., Lachance, J., Lyon, L., Morrison, M., Pandya, R., Shimamoto, M., Schultz, L., Weinberg, J., Möller, I.M., Williams, B., Gershenfeld, J., Goss, H., Guillot, C., Hanson, B., Lachance, J., Lyon, L., Morrison, M., Pandya, R., Shimamoto, M., Schultz, L., Weinberg, J., and Möller, I.M.

Published
2024

23. Association of polygenic risk score with the risk of chronic lymphocytic leukemia and monoclonal B-cell lymphocytosis

Author

Kleinstern, Geffen, Camp, Nicola J., Goldin, Lynn R., Vachon, Celine M., Vajdic, Claire M., de Sanjose, Silvia, Weinberg, J. Brice, Benavente, Yolanda, Casabonne, Delphine, Liebow, Mark, Nieters, Alexandra, Hjalgrim, Henrik, Melbye, Mads, Glimelius, Bengt, Adami, Hans-Olov, Boffetta, Paolo, Brennan, Paul, Maynadie, Marc, McKay, James, Cocco, Pier Luigi, Shanafelt, Tait D., Call, Timothy G., Norman, Aaron D., Hanson, Curtis, Robinson, Dennis, Chaffee, Kari G., Brooks-Wilson, Angela R., Monnereau, Alain, Clavel, Jacqueline, Glenn, Martha, Curtin, Karen, Conde, Lucia, Bracci, Paige M., Morton, Lindsay M., Cozen, Wendy, Severson, Richard K., Chanock, Stephen J., Spinelli, John J., Johnston, James B., Rothman, Nathaniel, Skibola, Christine F., Leis, Jose F., Kay, Neil E., Smedby, Karin E., Berndt, Sonja I., Cerhan, James R., Caporaso, Neil, and Slager, Susan L.

Published
2018
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24. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia

Author

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

Subjects
Biological Sciences, Genetics, Lymphatic Research, Cancer Genomics, Cancer, Hematology, Prevention, Lymphoma, Rare Diseases, Human Genome, 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, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational 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.

Published
2013

25. Genome-wide association study of follicular lymphoma identifies a risk locus at 6p21.32

Author

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
Biological Sciences, Genetics, Rare Diseases, Lymphatic Research, Lymphoma, Human Genome, Prevention, Cancer, Hematology, 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, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational 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)).

Published
2010

26. DMT310, a novel once-weekly topical treatment for patients with moderate-to-severe acne vulgaris: Results of a phase 2b randomized, double-blind, placebo-controlled trial

Author

Eichenfield, Lawrence F., primary, DuBois, Janet C., additional, Gold, Michael H., additional, Nardo, Christopher J., additional, Draelos, Zoe D., additional, Armas, E., additional, DeValle, O., additional, Haber, R.S., additional, Jones, T., additional, Kempers, S.E., additional, Knoepp, T.G., additional, Kuttner, B.J., additional, Lieberman, R., additional, Miller, M.L., additional, Stewart, D.M., additional, and Weinberg, J., additional

Published
2023
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33. E-219 Direct vs indirect revascularization for moyamoya: a large multicenter study

Author

El Naamani, K, primary, Chen, C, additional, Jabre, R, additional, Saad, H, additional, Grissberg, J, additional, Dmytriw, A, additional, Patel, A, additional, Khorasanizadeh, M, additional, Ogilvy, C, additional, Thomas, A, additional, Monteiro, A, additional, Siddiqui, A, additional, Cortez, G, additional, Hanel, R, additional, Porto, G, additional, Spiotta, A, additional, Piscopo, A, additional, Hasan, D, additional, Ghorbani, M, additional, Weinberg, J, additional, Nimjee, S, additional, Bekelis, K, additional, Salem, M, additional, Burkhardt, J, additional, Zetchi, A, additional, Matouk, C, additional, Howard, B, additional, Lai, R, additional, Du, R, additional, Abbas, R, additional, Sioutas, G, additional, Amllay, A, additional, Munoz, A, additional, Atallah, E, additional, Herial, N, additional, Tjoumakaris, S, additional, Gooch, M, additional, Rosenwasser, R, additional, and Jabbour, P, additional

Published
2023
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36. Association of elevated serumfree light chains with chronic lymphocytic leukemia and monoclonal B-cell lymphocytosis

Author

Clay-Gilmour, Alyssa I., Rishi, Abdul R., Goldin, Lynn R., Greenberg-Worisek, Alexandra J., Achenbach, Sara J., Rabe, Kari G., Maurer, Matthew J., Kay, Neil E., Shanafelt, Tait D., Call, Timothy G., Brice Weinberg, J., Camp, Nicola J., Cerhan, James R., Leis, Jose, Norman, Aaron, Murray, David L., Vincent Rajkumar, S., Caporaso, Neil E., Landgren, Ola, McMaster, Mary L., Slager, Susan L., and Vachon, Celine M.

Published
2019
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38. Engagement Time Machine

Author

McCauley, G., Thormann, T., Tria, E., and Weinberg, J.

Abstract

In this paper, we will discuss the processes of using machine learning to engineer a novel set of user-level features and construct a model to accurately recognize high-quality, valuable users early on in their life cycles. Emerging technologies can be applied to the academic publishing space in many exciting ways: it can transform the selection process for peer review, use targeted pokes to keep subscribers engaged, and tailor advertising to be highly relevant for each user. Our project builds the framework for all of these applications. We use a K-means clustering model to determine what constitutes a highly-engaged user and a multilayer perceptron (MLP) model to predict whether new users who have performed a threshold number of events are likely to remain highly engaged. Using first-party data collected from the customer data platform (CDP) Hum, we developed a model that can accurately classify the online readers of an academic publisher as being high- or low-quality based on their early-stage engagement profiles. Using Hum’s relational database containing over 100 features, we engineered four new variables to serve as the basis of our analysis that illuminate differences between high- value and low-value user behavior. Through a combination of K- means clustering for determining training labels and an MLP for predicting which of our client’s users belong to each cluster, we were able to identify what characteristics are indicative of high- versus low-quality engagement. Based on our derived features and labels determined by K-means clustering, our MLP model is able to predict whether a user is high- or low-quality with 95% accuracy. These engineered features and this model framework will now be able to serve as foundational components in the burgeoning field of digital academic publisher engagement.

Published
2023
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39. Data from A Genomic Approach to Improve Prognosis and Predict Therapeutic Response in Chronic Lymphocytic Leukemia

Author

Friedman, Daphne R., primary, Weinberg, J. Brice, primary, Barry, William T., primary, Goodman, Barbara K., primary, Volkheimer, Alicia D., primary, Bond, Karen M., primary, Chen, Youwei, primary, Jiang, Ning, primary, Moore, Joseph O., primary, Gockerman, Jon P., primary, Diehl, Louis F., primary, Decastro, Carlos M., primary, Potti, Anil, primary, and Nevins, Joseph R., primary

Published
2023
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40. Data from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes

Author

Slager, Susan L., primary, Achenbach, Sara J., primary, Asmann, Yan W., primary, Camp, Nicola J., primary, Rabe, Kari G., primary, Goldin, Lynn R., primary, Call, Timothy G., primary, Shanafelt, Tait D., primary, Kay, Neil E., primary, Cunningham, Julie M., primary, Wang, Alice H., primary, Weinberg, J. Brice, primary, Norman, Aaron D., primary, Link, Brian K., primary, Leis, Jose F., primary, Vachon, Celine M., primary, Lanasa, Mark C., primary, Caporaso, Neil E., primary, Novak, Anne J., primary, and Cerhan, James R., primary

Published
2023
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41. Supplementary Data from A Genomic Approach to Improve Prognosis and Predict Therapeutic Response in Chronic Lymphocytic Leukemia

Author

Friedman, Daphne R., primary, Weinberg, J. Brice, primary, Barry, William T., primary, Goodman, Barbara K., primary, Volkheimer, Alicia D., primary, Bond, Karen M., primary, Chen, Youwei, primary, Jiang, Ning, primary, Moore, Joseph O., primary, Gockerman, Jon P., primary, Diehl, Louis F., primary, Decastro, Carlos M., primary, Potti, Anil, primary, and Nevins, Joseph R., primary

Published
2023
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42. Supplementary Table 5 from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes

Author

Slager, Susan L., primary, Achenbach, Sara J., primary, Asmann, Yan W., primary, Camp, Nicola J., primary, Rabe, Kari G., primary, Goldin, Lynn R., primary, Call, Timothy G., primary, Shanafelt, Tait D., primary, Kay, Neil E., primary, Cunningham, Julie M., primary, Wang, Alice H., primary, Weinberg, J. Brice, primary, Norman, Aaron D., primary, Link, Brian K., primary, Leis, Jose F., primary, Vachon, Celine M., primary, Lanasa, Mark C., primary, Caporaso, Neil E., primary, Novak, Anne J., primary, and Cerhan, James R., primary

Published
2023
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43. Supplementary Table 3 from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes

Author

Slager, Susan L., primary, Achenbach, Sara J., primary, Asmann, Yan W., primary, Camp, Nicola J., primary, Rabe, Kari G., primary, Goldin, Lynn R., primary, Call, Timothy G., primary, Shanafelt, Tait D., primary, Kay, Neil E., primary, Cunningham, Julie M., primary, Wang, Alice H., primary, Weinberg, J. Brice, primary, Norman, Aaron D., primary, Link, Brian K., primary, Leis, Jose F., primary, Vachon, Celine M., primary, Lanasa, Mark C., primary, Caporaso, Neil E., primary, Novak, Anne J., primary, and Cerhan, James R., primary

Published
2023
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44. Supplementary Figure 1 from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes

Author

Slager, Susan L., primary, Achenbach, Sara J., primary, Asmann, Yan W., primary, Camp, Nicola J., primary, Rabe, Kari G., primary, Goldin, Lynn R., primary, Call, Timothy G., primary, Shanafelt, Tait D., primary, Kay, Neil E., primary, Cunningham, Julie M., primary, Wang, Alice H., primary, Weinberg, J. Brice, primary, Norman, Aaron D., primary, Link, Brian K., primary, Leis, Jose F., primary, Vachon, Celine M., primary, Lanasa, Mark C., primary, Caporaso, Neil E., primary, Novak, Anne J., primary, and Cerhan, James R., primary

Published
2023
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45. Supplementary Table 1 from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes

Author

Slager, Susan L., primary, Achenbach, Sara J., primary, Asmann, Yan W., primary, Camp, Nicola J., primary, Rabe, Kari G., primary, Goldin, Lynn R., primary, Call, Timothy G., primary, Shanafelt, Tait D., primary, Kay, Neil E., primary, Cunningham, Julie M., primary, Wang, Alice H., primary, Weinberg, J. Brice, primary, Norman, Aaron D., primary, Link, Brian K., primary, Leis, Jose F., primary, Vachon, Celine M., primary, Lanasa, Mark C., primary, Caporaso, Neil E., primary, Novak, Anne J., primary, and Cerhan, James R., primary

Published
2023
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46. Supplementary Table 4 from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes

Author

Slager, Susan L., primary, Achenbach, Sara J., primary, Asmann, Yan W., primary, Camp, Nicola J., primary, Rabe, Kari G., primary, Goldin, Lynn R., primary, Call, Timothy G., primary, Shanafelt, Tait D., primary, Kay, Neil E., primary, Cunningham, Julie M., primary, Wang, Alice H., primary, Weinberg, J. Brice, primary, Norman, Aaron D., primary, Link, Brian K., primary, Leis, Jose F., primary, Vachon, Celine M., primary, Lanasa, Mark C., primary, Caporaso, Neil E., primary, Novak, Anne J., primary, and Cerhan, James R., primary

Published
2023
Full Text
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47. Supplementary Table 2 from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes

Author

Slager, Susan L., primary, Achenbach, Sara J., primary, Asmann, Yan W., primary, Camp, Nicola J., primary, Rabe, Kari G., primary, Goldin, Lynn R., primary, Call, Timothy G., primary, Shanafelt, Tait D., primary, Kay, Neil E., primary, Cunningham, Julie M., primary, Wang, Alice H., primary, Weinberg, J. Brice, primary, Norman, Aaron D., primary, Link, Brian K., primary, Leis, Jose F., primary, Vachon, Celine M., primary, Lanasa, Mark C., primary, Caporaso, Neil E., primary, Novak, Anne J., primary, and Cerhan, James R., primary

Published
2023
Full Text
View/download PDF

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