Institution
University of North Carolina at Chapel Hill
Education•Chapel Hill, North Carolina, United States•
About: University of North Carolina at Chapel Hill is a education organization based out in Chapel Hill, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 81393 authors who have published 185327 publications receiving 9948508 citations. The organization is also known as: University of North Carolina & North Carolina.
Topics: Population, Poison control, Health care, Cancer, Medicine
Papers published on a yearly basis
Papers
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Tohoku University1, University of Tokyo2, University of Alabama3, Los Alamos National Laboratory4, University of California, Berkeley5, Lawrence Berkeley National Laboratory6, Kansas State University7, California Institute of Technology8, Drexel University9, Louisiana State University10, University of New Mexico11, Stanford University12, Imperial College London13, University of Tennessee14, Duke University15, University of North Carolina at Chapel Hill16, University of Bordeaux17
TL;DR: In this article, a study of neutrino oscillation based on a 766 ton/year exposure of KamLAND to reactor antineutrinos is presented, where the observed energy spectrum disagrees with the expected spectral shape.
Abstract: We present results of a study of neutrino oscillation based on a 766 ton/year exposure of KamLAND to reactor antineutrinos. We observe 258 [overline nu ]e candidate events with energies above 3.4 MeV compared to 365.2±23.7 events expected in the absence of neutrino oscillation. Accounting for 17.8±7.3 expected background events, the statistical significance for reactor [overline nu ]e disappearance is 99.998%. The observed energy spectrum disagrees with the expected spectral shape in the absence of neutrino oscillation at 99.6% significance and prefers the distortion expected from [overline nu ]e oscillation effects. A two-neutrino oscillation analysis of the KamLAND data gives Deltam2=7.9 -0.5 +0.6 ×10-5 eV2. A global analysis of data from KamLAND and solar-neutrino experiments yields Deltam2=7.9 -0.5 +0.6 ×10-5 eV2 and tan2theta=0.40 -0.07 +0.10 , the most precise determination to date.
992 citations
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TL;DR: Five themes of peer influence research from this decade were identified, including a broadening of the range of behaviors for which peer influence occurs, distinguishing the sources of influence, probing the conditions under which influence is amplified/attenuated, and preliminary exploration of behavioral neuroscience perspectives on peer influence.
Abstract: This article reviews empirical and theoretical contributions to a multidisciplinary understanding of peer influence processes in adolescence over the past decade. Five themes of peer influence research from this decade were identified, including a broadening of the range of behaviors for which peer influence occurs, distinguishing the sources of influence, probing the conditions under which influence is amplified/attenuated (moderators), testing theoretically based models of peer influence processes (mechanisms), and preliminary exploration of behavioral neuroscience perspectives on peer influence. This review highlights advances in each of these areas, underscores gaps in current knowledge of peer influence processes, and outlines important challenges for future research.
992 citations
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TL;DR: In this paper, the authors used mRNA profiles generated from microarray experiments to deduce the functions of genes encoding known and putative Arabidopsis transcription factors, showing that transcription factors are important in regulating plant responses to environmental stress.
Abstract: Numerous studies have shown that transcription factors are important in regulating plant responses to environmental stress. However, specific functions for most of the genes encoding transcription factors are unclear. In this study, we used mRNA profiles generated from microarray experiments to deduce the functions of genes encoding known and putative Arabidopsis transcription factors. The mRNA levels of 402 distinct transcription factor genes were examined at different developmental stages and under various stress conditions. Transcription factors potentially controlling downstream gene expression in stress signal transduction pathways were identified by observed activation and repression of the genes after certain stress treatments. The mRNA levels of a number of previously characterized transcription factor genes were changed significantly in connection with other regulatory pathways, suggesting their multifunctional nature. The expression of 74 transcription factor genes responsive to bacterial pathogen infection was reduced or abolished in mutants that have defects in salicylic acid, jasmonic acid, or ethylene signaling. This observation indicates that the regulation of these genes is mediated at least partly by these plant hormones and suggests that the transcription factor genes are involved in the regulation of additional downstream responses mediated by these hormones. Among the 43 transcription factor genes that are induced during senescence, 28 of them also are induced by stress treatment, suggesting extensive overlap responses to these stresses. Statistical analysis of the promoter regions of the genes responsive to cold stress indicated unambiguous enrichment of known conserved transcription factor binding sites for the responses. A highly conserved novel promoter motif was identified in genes responding to a broad set of pathogen infection treatments. This observation strongly suggests that the corresponding transcription factors play general and crucial roles in the coordinated regulation of these specific regulons. Although further validation is needed, these correlative results provide a vast amount of information that can guide hypothesis-driven research to elucidate the molecular mechanisms involved in transcriptional regulation and signaling networks in plants.
991 citations
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Massachusetts Institute of Technology1, QIMR Berghofer Medical Research Institute2, University of London3, University of California, San Francisco4, Columbia University5, University of Edinburgh6, VU University Amsterdam7, University of Bonn8, University of Washington9, Heidelberg University10, University of Iowa11, University of North Carolina at Chapel Hill12, National Institutes of Health13, Karolinska Institutet14, North Carolina State University15, Harvard University16, University of Lausanne17, University of Southern California18, Howard University19, Rush University Medical Center20, University of Geneva21, University of Sydney22, University of Bristol23, Cardiff University24, Mayo Clinic25, Virginia Commonwealth University26, Leiden University27, Stanford University28
TL;DR: This article conducted a genome-wide association studies (GWAS) mega-analysis for major depressive disorder (MDD) using more than 1.2 million autosomal and X chromosome single-nucleotide polymorphisms (SNPs) in 18,759 independent and unrelated subjects of recent European ancestry.
Abstract: Prior genome-wide association studies (GWAS) of major depressive disorder (MDD) have met with limited success. We sought to increase statistical power to detect disease loci by conducting a GWAS mega-analysis for MDD. In the MDD discovery phase, we analyzed more than 1.2 million autosomal and X chromosome single-nucleotide polymorphisms (SNPs) in 18 759 independent and unrelated subjects of recent European ancestry (9240 MDD cases and 9519 controls). In the MDD replication phase, we evaluated 554 SNPs in independent samples (6783 MDD cases and 50 695 controls). We also conducted a cross-disorder meta-analysis using 819 autosomal SNPs with P<0.0001 for either MDD or the Psychiatric GWAS Consortium bipolar disorder (BIP) mega-analysis (9238 MDD cases/8039 controls and 6998 BIP cases/7775 controls). No SNPs achieved genome-wide significance in the MDD discovery phase, the MDD replication phase or in pre-planned secondary analyses (by sex, recurrent MDD, recurrent early-onset MDD, age of onset, pre-pubertal onset MDD or typical-like MDD from a latent class analyses of the MDD criteria). In the MDD-bipolar cross-disorder analysis, 15 SNPs exceeded genome-wide significance (P<5 × 10(-8)), and all were in a 248 kb interval of high LD on 3p21.1 (chr3:52 425 083-53 822 102, minimum P=5.9 × 10(-9) at rs2535629). Although this is the largest genome-wide analysis of MDD yet conducted, its high prevalence means that the sample is still underpowered to detect genetic effects typical for complex traits. Therefore, we were unable to identify robust and replicable findings. We discuss what this means for genetic research for MDD. The 3p21.1 MDD-BIP finding should be interpreted with caution as the most significant SNP did not replicate in MDD samples, and genotyping in independent samples will be needed to resolve its status.
989 citations
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University of Pennsylvania1, Boston University2, University of Maryland, Baltimore3, Arcadia University4, McMaster University5, Rush University Medical Center6, University of North Carolina at Chapel Hill7, University of Chicago8, University of Michigan9, Tufts Medical Center10, University of Toronto11, University of Arizona12, New York University13, University of Delaware14, University of California, Davis15, Ronald Reagan UCLA Medical Center16, Johns Hopkins University School of Medicine17, ECRI Institute18, Cedars-Sinai Medical Center19, American College of Rheumatology20, University of Minnesota21
TL;DR: An evidence‐based guideline for the comprehensive management of osteoarthritis (OA) is developed as a collaboration between the American College of Rheumatology and the Arthritis Foundation, updating the 2012 ACR recommendations for the management of hand, hip, and knee OA.
Abstract: Objective To develop an evidence-based guideline for the comprehensive management of osteoarthritis (OA) as a collaboration between the American College of Rheumatology (ACR) and the Arthritis Foundation, updating the 2012 ACR recommendations for the management of hand, hip, and knee OA. Methods We identified clinically relevant population, intervention, comparator, outcomes questions and critical outcomes in OA. A Literature Review Team performed a systematic literature review to summarize evidence supporting the benefits and harms of available educational, behavioral, psychosocial, physical, mind-body, and pharmacologic therapies for OA. Grading of Recommendations Assessment, Development and Evaluation methodology was used to rate the quality of the evidence. A Voting Panel, including rheumatologists, an internist, physical and occupational therapists, and patients, achieved consensus on the recommendations. Results Based on the available evidence, either strong or conditional recommendations were made for or against the approaches evaluated. Strong recommendations were made for exercise, weight loss in patients with knee and/or hip OA who are overweight or obese, self-efficacy and self-management programs, tai chi, cane use, hand orthoses for first carpometacarpal (CMC) joint OA, tibiofemoral bracing for tibiofemoral knee OA, topical nonsteroidal antiinflammatory drugs (NSAIDs) for knee OA, oral NSAIDs, and intraarticular glucocorticoid injections for knee OA. Conditional recommendations were made for balance exercises, yoga, cognitive behavioral therapy, kinesiotaping for first CMC OA, orthoses for hand joints other than the first CMC joint, patellofemoral bracing for patellofemoral knee OA, acupuncture, thermal modalities, radiofrequency ablation for knee OA, topical NSAIDs, intraarticular steroid injections and chondroitin sulfate for hand OA, topical capsaicin for knee OA, acetaminophen, duloxetine, and tramadol. Conclusion This guideline provides direction for clinicians and patients making treatment decisions for the management of OA. Clinicians and patients should engage in shared decision-making that accounts for patients' values, preferences, and comorbidities. These recommendations should not be used to limit or deny access to therapies.
989 citations
Authors
Showing all 82249 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Salim Yusuf | 231 | 1439 | 252912 |
David J. Hunter | 213 | 1836 | 207050 |
Irving L. Weissman | 201 | 1141 | 172504 |
Eric J. Topol | 193 | 1373 | 151025 |
Dennis W. Dickson | 191 | 1243 | 148488 |
Scott M. Grundy | 187 | 841 | 231821 |
Peidong Yang | 183 | 562 | 144351 |
Patrick O. Brown | 183 | 755 | 200985 |
Eric Boerwinkle | 183 | 1321 | 170971 |
Alan C. Evans | 183 | 866 | 134642 |
Anil K. Jain | 183 | 1016 | 192151 |
Terrie E. Moffitt | 182 | 594 | 150609 |
Aaron R. Folsom | 181 | 1118 | 134044 |
Valentin Fuster | 179 | 1462 | 185164 |