1
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Kasela S, Aguet F, Kim-Hellmuth S, Brown BC, Nachun DC, Tracy RP, Durda P, Liu Y, Taylor KD, Johnson WC, Van Den Berg D, Gabriel S, Gupta N, Smith JD, Blackwell TW, Rotter JI, Ardlie KG, Manichaikul A, Rich SS, Barr RG, Lappalainen T. Interaction molecular QTL mapping discovers cellular and environmental modifiers of genetic regulatory effects. Am J Hum Genet 2024; 111:133-149. [PMID: 38181730 PMCID: PMC10806864 DOI: 10.1016/j.ajhg.2023.11.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 11/29/2023] [Accepted: 11/29/2023] [Indexed: 01/07/2024] Open
Abstract
Bulk-tissue molecular quantitative trait loci (QTLs) have been the starting point for interpreting disease-associated variants, and context-specific QTLs show particular relevance for disease. Here, we present the results of mapping interaction QTLs (iQTLs) for cell type, age, and other phenotypic variables in multi-omic, longitudinal data from the blood of individuals of diverse ancestries. By modeling the interaction between genotype and estimated cell-type proportions, we demonstrate that cell-type iQTLs could be considered as proxies for cell-type-specific QTL effects, particularly for the most abundant cell type in the tissue. The interpretation of age iQTLs, however, warrants caution because the moderation effect of age on the genotype and molecular phenotype association could be mediated by changes in cell-type composition. Finally, we show that cell-type iQTLs contribute to cell-type-specific enrichment of diseases that, in combination with additional functional data, could guide future functional studies. Overall, this study highlights the use of iQTLs to gain insights into the context specificity of regulatory effects.
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Affiliation(s)
- Silva Kasela
- New York Genome Center, New York, NY, USA; Department of Systems Biology, Columbia University, New York, NY, USA.
| | | | - Sarah Kim-Hellmuth
- New York Genome Center, New York, NY, USA; Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital LMU Munich, Munich, Germany; Computational Health Center, Institute of Translational Genomics, Helmholtz Munich, Neuherberg, Germany
| | - Brielin C Brown
- New York Genome Center, New York, NY, USA; Data Science Institute, Columbia University, New York, NY, USA
| | - Daniel C Nachun
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Russell P Tracy
- Pathology and Laboratory Medicine, The University of Vermont, Larner College of Medicine, Burlington, VT, USA
| | - Peter Durda
- Pathology and Laboratory Medicine, The University of Vermont, Larner College of Medicine, Burlington, VT, USA
| | - Yongmei Liu
- Department of Medicine, Duke University, Durham, NC, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - David Van Den Berg
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | | | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joshua D Smith
- Northwest Genomics Center, University of Washington, Seattle, WA, USA
| | - Thomas W Blackwell
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | | | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - R Graham Barr
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, NY, USA; Department of Systems Biology, Columbia University, New York, NY, USA; Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
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2
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Brown BC, Morris JA, Lappalainen T, Knowles DA. Large-scale causal discovery using interventional data sheds light on the regulatory network architecture of blood traits. bioRxiv 2023:2023.10.13.562293. [PMID: 37905013 PMCID: PMC10614812 DOI: 10.1101/2023.10.13.562293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Inference of directed biological networks is an important but notoriously challenging problem. We introduce inverse sparse regression (inspre), an approach to learning causal networks that leverages large-scale intervention-response data. Applied to 788 genes from the genome-wide perturb-seq dataset, inspre helps elucidate the network architecture of blood traits.
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Affiliation(s)
- Brielin C. Brown
- New York Genome Center, New York, NY, USA
- Data Science Institute, Columbia University, New York, NY, USA
| | | | - Tuuli Lappalainen
- New York Genome Center, New York, NY, USA
- Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
- Department of Systems Biology, Columbia University, New York, NY
| | - David A. Knowles
- New York Genome Center, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY
- Department of Computer Science, Columbia University, New York, NY
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3
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Brown BC, Wang C, Kasela S, Aguet F, Nachun DC, Taylor KD, Tracy RP, Durda P, Liu Y, Johnson WC, Van Den Berg D, Gupta N, Gabriel S, Smith JD, Gerzsten R, Clish C, Wong Q, Papanicolau G, Blackwell TW, Rotter JI, Rich SS, Barr RG, Ardlie KG, Knowles DA, Lappalainen T. Multiset correlation and factor analysis enables exploration of multi-omics data. Cell Genom 2023; 3:100359. [PMID: 37601969 PMCID: PMC10435377 DOI: 10.1016/j.xgen.2023.100359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 04/26/2023] [Accepted: 06/14/2023] [Indexed: 08/22/2023]
Abstract
Multi-omics datasets are becoming more common, necessitating better integration methods to realize their revolutionary potential. Here, we introduce multi-set correlation and factor analysis (MCFA), an unsupervised integration method tailored to the unique challenges of high-dimensional genomics data that enables fast inference of shared and private factors. We used MCFA to integrate methylation markers, protein expression, RNA expression, and metabolite levels in 614 diverse samples from the Trans-Omics for Precision Medicine/Multi-Ethnic Study of Atherosclerosis multi-omics pilot. Samples cluster strongly by ancestry in the shared space, even in the absence of genetic information, while private spaces frequently capture dataset-specific technical variation. Finally, we integrated genetic data by conducting a genome-wide association study (GWAS) of our inferred factors, observing that several factors are enriched for GWAS hits and trans-expression quantitative trait loci. Two of these factors appear to be related to metabolic disease. Our study provides a foundation and framework for further integrative analysis of ever larger multi-modal genomic datasets.
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Affiliation(s)
- Brielin C. Brown
- New York Genome Center, New York, NY, USA
- Data Science Institute, Columbia University, New York, NY, USA
| | - Collin Wang
- New York Genome Center, New York, NY, USA
- Department of Computer Science, Columbia University, New York, NY, USA
| | - Silva Kasela
- New York Genome Center, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - François Aguet
- Illumina Incorporated, San Francisco, CA, USA
- The Broad Institute of MIT and Harvard, Boston, MA, USA
| | | | - Kent D. Taylor
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Russell P. Tracy
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
| | - Peter Durda
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
| | - Yongmei Liu
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - David Van Den Berg
- Department of Clinical Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Namrata Gupta
- The Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Stacy Gabriel
- The Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Joshua D. Smith
- Northwest Genomics Center, University of Washington, Seattle, WA, USA
| | - Robert Gerzsten
- Beth Israel Deaconess Medical Center, Division of Cardiovascular Medicine, Boston, MA, USA
| | - Clary Clish
- The Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Quenna Wong
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - George Papanicolau
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | - Thomas W. Blackwell
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jerome I. Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - R. Graham Barr
- Mailman School of Public Health, Columbia University, New York, NY, USA
| | | | - David A. Knowles
- New York Genome Center, New York, NY, USA
- Data Science Institute, Columbia University, New York, NY, USA
- Department of Computer Science, Columbia University, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
- Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
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4
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Kasela S, Aguet F, Kim-Hellmuth S, Brown BC, Nachun DC, Tracy RP, Durda P, Liu Y, Taylor KD, Craig Johnson W, Berg DVD, Gabriel S, Gupta N, Smith JD, Blackwell TW, Rotter JI, Ardlie KG, Manichaikul A, Rich SS, Graham Barr R, Lappalainen T. Interaction molecular QTL mapping discovers cellular and environmental modifiers of genetic regulatory effects. bioRxiv 2023:2023.06.26.546528. [PMID: 37425716 PMCID: PMC10326995 DOI: 10.1101/2023.06.26.546528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Bulk tissue molecular quantitative trait loci (QTLs) have been the starting point for interpreting disease-associated variants, while context-specific QTLs show particular relevance for disease. Here, we present the results of mapping interaction QTLs (iQTLs) for cell type, age, and other phenotypic variables in multi-omic, longitudinal data from blood of individuals of diverse ancestries. By modeling the interaction between genotype and estimated cell type proportions, we demonstrate that cell type iQTLs could be considered as proxies for cell type-specific QTL effects. The interpretation of age iQTLs, however, warrants caution as the moderation effect of age on the genotype and molecular phenotype association may be mediated by changes in cell type composition. Finally, we show that cell type iQTLs contribute to cell type-specific enrichment of diseases that, in combination with additional functional data, may guide future functional studies. Overall, this study highlights iQTLs to gain insights into the context-specificity of regulatory effects.
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Affiliation(s)
- Silva Kasela
- New York Genome Center, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | | | - Sarah Kim-Hellmuth
- New York Genome Center, New York, NY, USA
- Department of Pediatrics, Dr. von Hauner Children’s Hospital, University Hospital LMU Munich, Munich, Germany
- Computational Health Center, Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Brielin C. Brown
- New York Genome Center, New York, NY, USA
- Data Science Institute, Columbia University, New York, NY, USA
| | | | - Russell P. Tracy
- Pathology and Laboratory Medicine, The University of Vermont, Larner College of Medicine, Burlington, VT, USA
| | - Peter Durda
- Pathology and Laboratory Medicine, The University of Vermont, Larner College of Medicine, Burlington, VT, USA
| | - Yongmei Liu
- Department of Medicine, Duke University, Durham, NC, USA
| | - Kent D. Taylor
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - David Van Den Berg
- Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | | | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joshua D. Smith
- Northwest Genomic Center, University of Washington, Seattle, WA, USA
| | - Thomas W. Blackwell
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jerome I. Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | | | - Ani Manichaikul
- Center for Public health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Stephen S. Rich
- Center for Public health Genomics, University of Virginia, Charlottesville, VA, USA
| | - R. Graham Barr
- Epidemiology and Medicine, Columbia University Medical Center, New York, NY, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
- Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
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5
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Aguilar-Arevalo AA, Brown BC, Conrad JM, Dharmapalan R, Diaz A, Djurcic Z, Finley DA, Ford R, Garvey GT, Gollapinni S, Hourlier A, Huang EC, Kamp NW, Karagiorgi G, Katori T, Kobilarcik T, Lin K, Louis WC, Mariani C, Marsh W, Mills GB, Mirabal-Martinez J, Moore CD, Nelson RH, Nowak J, Pavlovic Z, Ray H, Roe BP, Russell AD, Schneider A, Shaevitz MH, Spitz J, Stancu I, Tayloe R, Thornton RT, Tzanov M, Van de Water RG, White DH, Zimmerman ED. MiniBooNE and MicroBooNE Combined Fit to a 3+1 Sterile Neutrino Scenario. Phys Rev Lett 2022; 129:201801. [PMID: 36461983 DOI: 10.1103/physrevlett.129.201801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 09/09/2022] [Accepted: 09/28/2022] [Indexed: 06/17/2023]
Abstract
This Letter presents the results from the MiniBooNE experiment within a full "3+1" scenario where one sterile neutrino is introduced to the three-active-neutrino picture. In addition to electron-neutrino appearance at short baselines, this scenario also allows for disappearance of the muon-neutrino and electron-neutrino fluxes in the Booster Neutrino Beam, which is shared by the MicroBooNE experiment. We present the 3+1 fit to the MiniBooNE electron-(anti)neutrino and muon-(anti)neutrino data alone and in combination with MicroBooNE electron-neutrino data. The best-fit parameters of the combined fit with the exclusive charged-current quasielastic analysis (inclusive analysis) are Δm^{2}=0.209 eV^{2}(0.033 eV^{2}), |U_{e4}|^{2}=0.016(0.500), |U_{μ4}|^{2}=0.500(0.500), and sin^{2}(2θ_{μe})=0.0316(1.0). Comparing the no-oscillation scenario to the 3+1 model, the data prefer the 3+1 model with a Δχ^{2}/d.o.f.=24.7/3(17.3/3), a 4.3σ(3.4σ) preference assuming the asymptotic approximation given by Wilks's theorem.
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Affiliation(s)
- A A Aguilar-Arevalo
- Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, CDMX 04510, México
| | - B C Brown
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J M Conrad
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R Dharmapalan
- University of Alabama, Tuscaloosa, Alabama 35487, USA
- University of Hawaii, Manoa, Honolulu, Hawaii 96822, USA
| | - A Diaz
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Z Djurcic
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - D A Finley
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - R Ford
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G T Garvey
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - S Gollapinni
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - A Hourlier
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - E-C Huang
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - N W Kamp
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - T Katori
- King's College London, London WC2R 2LS, United Kingdom
| | - T Kobilarcik
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K Lin
- Columbia University, New York, New York 10027, USA
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - W C Louis
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - W Marsh
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G B Mills
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | | | - C D Moore
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - R H Nelson
- University of Colorado, Boulder, Colorado 80309, USA
| | - J Nowak
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - Z Pavlovic
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - H Ray
- University of Florida, Gainesville, Florida 32611, USA
| | - B P Roe
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - A D Russell
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Schneider
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - I Stancu
- University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - R Tayloe
- Indiana University, Bloomington, Indiana 47405, USA
| | - R T Thornton
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - M Tzanov
- University of Colorado, Boulder, Colorado 80309, USA
- Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | - R G Van de Water
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - D H White
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - E D Zimmerman
- University of Colorado, Boulder, Colorado 80309, USA
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6
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Brown BC, Knowles DA. Welch-weighted Egger regression reduces false positives due to correlated pleiotropy in Mendelian randomization. Am J Hum Genet 2021; 108:2319-2335. [PMID: 34861175 DOI: 10.1016/j.ajhg.2021.10.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 10/19/2021] [Indexed: 02/01/2023] Open
Abstract
Modern population-scale biobanks contain simultaneous measurements of many phenotypes, providing unprecedented opportunity to study the relationship between biomarkers and disease. However, inferring causal effects from observational data is notoriously challenging. Mendelian randomization (MR) has recently received increased attention as a class of methods for estimating causal effects using genetic associations. However, standard methods result in pervasive false positives when two traits share a heritable, unobserved common cause. This is the problem of correlated pleiotropy. Here, we introduce a flexible framework for simulating traits with a common genetic confounder that generalizes recently proposed models, as well as a simple approach we call Welch-weighted Egger regression (WWER) for estimating causal effects. We show in comprehensive simulations that our method substantially reduces false positives due to correlated pleiotropy while being fast enough to apply to hundreds of phenotypes. We apply our method first to a subset of the UK Biobank consisting of blood traits and inflammatory disease, and then to a broader set of 411 heritable phenotypes. We detect many effects with strong literature support, as well as numerous behavioral effects that appear to stem from physician advice given to people at high risk for disease. We conclude that WWER is a powerful tool for exploratory data analysis in ever-growing databases of genotypes and phenotypes.
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Affiliation(s)
- Brielin C Brown
- Data Science Institute, Columbia University, New York, NY 10027, USA; New York Genome Center, New York, NY 10013, USA.
| | - David A Knowles
- Data Science Institute, Columbia University, New York, NY 10027, USA; New York Genome Center, New York, NY 10013, USA; Department of Computer Science, Columbia University, New York, NY 10027, USA; Department of Systems Biology, Columbia University, New York, NY 10027, USA.
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7
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Galinsky KJ, Reshef YA, Finucane HK, Loh PR, Zaitlen N, Patterson NJ, Brown BC, Price AL. Estimating cross-population genetic correlations of causal effect sizes. Genet Epidemiol 2019; 43:180-188. [PMID: 30474154 PMCID: PMC6375794 DOI: 10.1002/gepi.22173] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Revised: 10/10/2018] [Accepted: 10/10/2018] [Indexed: 01/09/2023]
Abstract
Recent studies have examined the genetic correlations of single-nucleotide polymorphism (SNP) effect sizes across pairs of populations to better understand the genetic architectures of complex traits. These studies have estimated ρ g , the cross-population correlation of joint-fit effect sizes at genotyped SNPs. However, the value of ρ g depends both on the cross-population correlation of true causal effect sizes ( ρ b ) and on the similarity in linkage disequilibrium (LD) patterns in the two populations, which drive tagging effects. Here, we derive the value of the ratio ρ g / ρ b as a function of LD in each population. By applying existing methods to obtain estimates of ρ g , we can use this ratio to estimate ρ b . Our estimates of ρ b were equal to 0.55 ( SE = 0.14) between Europeans and East Asians averaged across nine traits in the Genetic Epidemiology Research on Adult Health and Aging data set, 0.54 ( SE = 0.18) between Europeans and South Asians averaged across 13 traits in the UK Biobank data set, and 0.48 ( SE = 0.06) and 0.65 ( SE = 0.09) between Europeans and East Asians in summary statistic data sets for type 2 diabetes and rheumatoid arthritis, respectively. These results implicate substantially different causal genetic architectures across continental populations.
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Affiliation(s)
- Kevin J. Galinsky
- Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115
- Takeda Oncology, 40 Landsdowne Street, Cambridge, MA 02139, USA
| | - Yakir A. Reshef
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - Hilary K. Finucane
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Schmidt Fellows Program, Broad Institute of MIT and Harvard
| | - Po-Ru Loh
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Noah Zaitlen
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Nick J. Patterson
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | | | - Alkes L. Price
- Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
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8
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Abstract
Population structure in genotype data has been extensively studied, and is revealed by looking at the principal components of the genotype matrix. However, no similar analysis of population structure in gene expression data has been conducted, in part because a naïve principal components analysis of the gene expression matrix does not cluster by population. We identify a linear projection that reveals population structure in gene expression data. Our approach relies on the coupling of the principal components of genotype to the principal components of gene expression via canonical correlation analysis. Our method is able to determine the significance of the variance in the canonical correlation projection explained by each gene. We identify 3,571 significant genes, only 837 of which had been previously reported to have an associated eQTL in the GEUVADIS results. We show that our projections are not primarily driven by differences in allele frequency at known cis-eQTLs and that similar projections can be recovered using only several hundred randomly selected genes and SNPs. Finally, we present preliminary work on the consequences for eQTL analysis. We observe that using our projection co-ordinates as covariates results in the discovery of slightly fewer genes with eQTLs, but that these genes replicate in GTEx matched tissue at a slightly higher rate.
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Affiliation(s)
- Brielin C. Brown
- Department of Computer Science, University of California Berkeley, Berkeley, California, United States of America
| | - Nicolas L. Bray
- Institute for Innovative Genomics, University of California Berkeley, Berkeley, California, United States of America
- Department of Molecular & Cell Biology, University of California Berkeley, Berkeley, California, United States of America
| | - Lior Pachter
- Division of Biology and Biological Engineering, California Institute of Technology, Padadena, California, United States of America
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9
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Aguilar-Arevalo AA, Brown BC, Bugel L, Cheng G, Conrad JM, Cooper RL, Dharmapalan R, Diaz A, Djurcic Z, Finley DA, Ford R, Garcia FG, Garvey GT, Grange J, Huang EC, Huelsnitz W, Ignarra C, Johnson RA, Karagiorgi G, Katori T, Kobilarcik T, Louis WC, Mariani C, Marsh W, Mills GB, Mirabal J, Monroe J, Moore CD, Mousseau J, Nienaber P, Nowak J, Osmanov B, Pavlovic Z, Perevalov D, Ray H, Roe BP, Russell AD, Shaevitz MH, Spitz J, Stancu I, Tayloe R, Thornton RT, Tzanov M, Van de Water RG, White DH, Wickremasinghe DA, Zimmerman ED. Significant Excess of Electronlike Events in the MiniBooNE Short-Baseline Neutrino Experiment. Phys Rev Lett 2018; 121:221801. [PMID: 30547637 DOI: 10.1103/physrevlett.121.221801] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 09/28/2018] [Indexed: 06/09/2023]
Abstract
The MiniBooNE experiment at Fermilab reports results from an analysis of ν_{e} appearance data from 12.84×10^{20} protons on target in neutrino mode, an increase of approximately a factor of 2 over previously reported results. A ν_{e} charged-current quasielastic event excess of 381.2±85.2 events (4.5σ) is observed in the energy range 200<E_{ν}^{QE}<1250 MeV. Combining these data with the ν[over ¯]_{e} appearance data from 11.27×10^{20} protons on target in antineutrino mode, a total ν_{e} plus ν[over ¯]_{e} charged-current quasielastic event excess of 460.5±99.0 events (4.7σ) is observed. If interpreted in a two-neutrino oscillation model, ν_{μ}→ν_{e}, the best oscillation fit to the excess has a probability of 21.1%, while the background-only fit has a χ^{2} probability of 6×10^{-7} relative to the best fit. The MiniBooNE data are consistent in energy and magnitude with the excess of events reported by the Liquid Scintillator Neutrino Detector (LSND), and the significance of the combined LSND and MiniBooNE excesses is 6.0σ. A two-neutrino oscillation interpretation of the data would require at least four neutrino types and indicate physics beyond the three neutrino paradigm. Although the data are fit with a two-neutrino oscillation model, other models may provide better fits to the data.
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Affiliation(s)
- A A Aguilar-Arevalo
- Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, CDMX 04510, Mexico
| | - B C Brown
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - L Bugel
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Cheng
- Columbia University, New York, New York 10027, USA
| | - J M Conrad
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R L Cooper
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
- New Mexico State University, Las Cruces, New Mexico 88003, USA
| | - R Dharmapalan
- University of Alabama, Tuscaloosa, Alabama 35487, USA
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - A Diaz
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Z Djurcic
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - D A Finley
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - R Ford
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - F G Garcia
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G T Garvey
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - J Grange
- University of Florida, Gainesville, Florida 32611, USA
| | - E-C Huang
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - W Huelsnitz
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - C Ignarra
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - T Katori
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
- Queen Mary University of London, London E1 4NS, United Kingdom
| | - T Kobilarcik
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - W C Louis
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - W Marsh
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G B Mills
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - J Mirabal
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - J Monroe
- Royal Holloway, University of London, Egham TW20 0EX, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J Mousseau
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - P Nienaber
- Saint Mary's University of Minnesota, Winona, Minnesota 55987, USA
| | - J Nowak
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - B Osmanov
- University of Florida, Gainesville, Florida 32611, USA
| | - Z Pavlovic
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - D Perevalov
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - H Ray
- University of Florida, Gainesville, Florida 32611, USA
| | - B P Roe
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - A D Russell
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - I Stancu
- University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - R Tayloe
- Indiana University, Bloomington, Indiana 47405, USA
| | - R T Thornton
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - M Tzanov
- University of Colorado, Boulder, Colorado 80309, USA
- Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | - R G Van de Water
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - D H White
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | | | - E D Zimmerman
- University of Colorado, Boulder, Colorado 80309, USA
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10
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Aguilar-Arevalo AA, Brown BC, Bugel L, Cheng G, Church ED, Conrad JM, Cooper RL, Dharmapalan R, Djurcic Z, Finley DA, Fitzpatrick RS, Ford R, Garcia FG, Garvey GT, Grange J, Huelsnitz W, Ignarra C, Imlay R, Johnson RA, Jordan JR, Karagiorgi G, Katori T, Kobilarcik T, Louis WC, Mahn K, Mariani C, Marsh W, Mills GB, Mirabal J, Moore CD, Mousseau J, Nienaber P, Osmanov B, Pavlovic Z, Perevalov D, Ray H, Roe BP, Russell AD, Shaevitz MH, Spitz J, Stancu I, Tayloe R, Thornton RT, Van de Water RG, Wascko MO, White DH, Wickremasinghe DA, Zeller GP, Zimmerman ED. First Measurement of Monoenergetic Muon Neutrino Charged Current Interactions. Phys Rev Lett 2018; 120:141802. [PMID: 29694148 DOI: 10.1103/physrevlett.120.141802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Indexed: 06/08/2023]
Abstract
We report the first measurement of monoenergetic muon neutrino charged current interactions. MiniBooNE has isolated 236 MeV muon neutrino events originating from charged kaon decay at rest (K^{+}→μ^{+}ν_{μ}) at the NuMI beamline absorber. These signal ν_{μ}-carbon events are distinguished from primarily pion decay in flight ν_{μ} and ν[over ¯]_{μ} backgrounds produced at the target station and decay pipe using their arrival time and reconstructed muon energy. The significance of the signal observation is at the 3.9σ level. The muon kinetic energy, neutrino-nucleus energy transfer (ω=E_{ν}-E_{μ}), and total cross section for these events are extracted. This result is the first known-energy, weak-interaction-only probe of the nucleus to yield a measurement of ω using neutrinos, a quantity thus far only accessible through electron scattering.
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Affiliation(s)
- A A Aguilar-Arevalo
- Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, D.F. 04510, Mexico
| | - B C Brown
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - L Bugel
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Cheng
- Columbia University, New York, New York 10027, USA
| | - E D Church
- Yale University, New Haven, Connecticut 06520, USA
| | - J M Conrad
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R L Cooper
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
- New Mexico State University, Las Cruces, New Mexico 88003, USA
| | - R Dharmapalan
- University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - Z Djurcic
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - D A Finley
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | | | - R Ford
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - F G Garcia
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G T Garvey
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - J Grange
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - W Huelsnitz
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - C Ignarra
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R Imlay
- Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - J R Jordan
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - T Katori
- Queen Mary University of London, London E1 4NS, United Kingdom
| | - T Kobilarcik
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - W C Louis
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - K Mahn
- Columbia University, New York, New York 10027, USA
- Michigan State University, East Lansing, Michigan 48824, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - W Marsh
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G B Mills
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - J Mirabal
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - C D Moore
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J Mousseau
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - P Nienaber
- Saint Mary's University of Minnesota, Winona, Minnesota 55987, USA
| | - B Osmanov
- University of Florida, Gainesville, Florida 32611, USA
| | - Z Pavlovic
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - D Perevalov
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - H Ray
- University of Florida, Gainesville, Florida 32611, USA
| | - B P Roe
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - A D Russell
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - I Stancu
- University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - R Tayloe
- Indiana University, Bloomington, Indiana 47405, USA
| | - R T Thornton
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - R G Van de Water
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - M O Wascko
- Imperial College London, London SW7 2AZ, United Kingdom
| | - D H White
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | | | - G P Zeller
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - E D Zimmerman
- University of Colorado, Boulder, Colorado 80309, USA
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11
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Aguilar-Arevalo AA, Brown BC, Bugel L, Cheng G, Church ED, Conrad JM, Dharmapalan R, Djurcic Z, Finley DA, Ford R, Garcia FG, Garvey GT, Grange J, Huelsnitz W, Ignarra C, Imlay R, Johnson RA, Karagiorgi G, Katori T, Kobilarcik T, Louis WC, Mariani C, Marsh W, Mills GB, Mirabal J, Moore CD, Mousseau J, Nienaber P, Osmanov B, Pavlovic Z, Perevalov D, Polly CC, Ray H, Roe BP, Russell AD, Shaevitz MH, Spitz J, Stancu I, Tayloe R, Van de Water RG, White DH, Wickremasinghe DA, Zeller GP, Zimmerman ED. Improved search for ν¯(μ)→ν¯(e) oscillations in the MiniBooNE experiment. Phys Rev Lett 2013; 110:161801. [PMID: 23679593 DOI: 10.1103/physrevlett.110.161801] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2013] [Indexed: 06/02/2023]
Abstract
The MiniBooNE experiment at Fermilab reports results from an analysis of ν[over ¯](e) appearance data from 11.27×10(20) protons on target in the antineutrino mode, an increase of approximately a factor of 2 over the previously reported results. An event excess of 78.4±28.5 events (2.8σ) is observed in the energy range 200<E(ν)(QE)<1250 MeV. If interpreted in a two-neutrino oscillation model, ν[over ¯](μ)→ν[over ¯](e), the best oscillation fit to the excess has a probability of 66% while the background-only fit has a χ(2) probability of 0.5% relative to the best fit. The data are consistent with antineutrino oscillations in the 0.01<Δm(2)<1.0 eV(2) range and have some overlap with the evidence for antineutrino oscillations from the Liquid Scintillator Neutrino Detector. All of the major backgrounds are constrained by in situ event measurements so nonoscillation explanations would need to invoke new anomalous background processes. The neutrino mode running also shows an excess at low energy of 162.0±47.8 events (3.4σ) but the energy distribution of the excess is marginally compatible with a simple two neutrino oscillation formalism. Expanded models with several sterile neutrinos can reduce the incompatibility by allowing for CP violating effects between neutrino and antineutrino oscillations.
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Affiliation(s)
- A A Aguilar-Arevalo
- Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, 04510 México, D.F., Mexico
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12
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Aguilar-Arevalo AA, Anderson CE, Brice SJ, Brown BC, Bugel L, Conrad JM, Dharmapalan R, Djurcic Z, Fleming BT, Ford R, Garcia FG, Garvey GT, Mirabal J, Grange J, Green JA, Imlay R, Johnson RA, Karagiorgi G, Katori T, Kobilarcik T, Linden SK, Louis WC, Mahn KBM, Marsh W, Mauger C, Metcalf W, Mills GB, Moore CD, Mousseau J, Nelson RH, Nguyen V, Nienaber P, Nowak JA, Osmanov B, Pavlovic Z, Perevalov D, Polly CC, Ray H, Roe BP, Russell AD, Schirato R, Shaevitz MH, Sorel M, Spitz J, Stancu I, Stefanski RJ, Tayloe R, Tzanov M, Van de Water RG, Wascko MO, White DH, Wilking MJ, Zeller GP, Zimmerman ED. Event excess in the MiniBooNE search for ¯νμ→¯νe oscillations. Phys Rev Lett 2010; 105:181801. [PMID: 21231096 DOI: 10.1103/physrevlett.105.181801] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2010] [Indexed: 05/30/2023]
Abstract
The MiniBooNE experiment at Fermilab reports results from a search for ¯ν_{μ}→¯ν_{e} oscillations, using a data sample corresponding to 5.66×10²⁰ protons on target. An excess of 20.9±14.0 events is observed in the energy range 475<E_{ν}^{QE}<1250 MeV, which, when constrained by the observed ¯ν_{μ} events, has a probability for consistency with the background-only hypothesis of 0.5%. On the other hand, fitting for ¯ν_{μ}→¯ν_{e} oscillations, the best-fit point has a χ² probability of 8.7%. The data are consistent with ¯ν_{μ}→¯ν_{e} oscillations in the 0.1 to 1.0 eV² Δm² range and with the evidence for antineutrino oscillations from the Liquid Scintillator Neutrino Detector at Los Alamos National Laboratory.
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Affiliation(s)
- A A Aguilar-Arevalo
- Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, D.F. 04510, México
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Warren RB, Brown BC, Grindlay DJC, Griffiths CEM. What's new in psoriasis? Analysis of the clinical significance of new guidelines and systematic reviews on psoriasis published in 2008 and 2009. Clin Exp Dermatol 2010; 35:688-91; quiz 692. [PMID: 20545953 DOI: 10.1111/j.1365-2230.2010.03880.x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
This review summarizes the clinical importance of 18 systematic reviews and guidelines on psoriasis published or indexed between November 2008 and October 2009. The topics covered include guidance on the use of topical, systemic and biological therapies for the treatment of psoriasis; comorbidities associated with psoriasis; and complementary therapies for psoriasis. A similar and more detailed review to this appeared in the 2009 Annual Evidence Update on Psoriasis from NHS Evidence - Skin Disorders in November 2009.
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Affiliation(s)
- R B Warren
- Dermatological Sciences, Salford Royal NHS Foundation Trust, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
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Aguilar-Arevalo AA, Anderson CE, Brice SJ, Brown BC, Bugel L, Conrad JM, Djurcic Z, Fleming BT, Ford R, Garcia FG, Garvey GT, Gonzales J, Grange J, Green C, Green JA, Imlay R, Johnson RA, Karagiorgi G, Katori T, Kobilarcik T, Linden SK, Louis WC, Mahn KBM, Marsh W, Mauger C, McGary VT, Metcalf W, Mills GB, Moore CD, Mousseau J, Nelson RH, Nienaber P, Nowak JA, Osmanov B, Pavlovic Z, Perevalov D, Polly CC, Ray H, Roe BP, Russell AD, Shaevitz MH, Sorel M, Spitz J, Stancu I, Stefanski RJ, Tayloe R, Tzanov M, Van de Water RG, Wascko MO, White DH, Wilking MJ, Zeller GP, Zimmerman ED. Search for electron antineutrino appearance at the deltam(2) approximately 1 eV(2) Scale. Phys Rev Lett 2009; 103:111801. [PMID: 19792365 DOI: 10.1103/physrevlett.103.111801] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2009] [Indexed: 05/28/2023]
Abstract
The MiniBooNE Collaboration reports initial results from a search for nu(mu)-->nu(e) oscillations. A signal-blind analysis was performed using a data sample corresponding to 3.39x10(20) protons on target. The data are consistent with background prediction across the full range of neutrino energy reconstructed assuming quasielastic scattering, 200<E(nu)(QE)<3000 MeV: 144 electronlike events have been observed in this energy range, compared to an expectation of 139.2+/-17.6 events. No significant excess of events has been observed, both at low energy, 200-475 MeV, and at high energy, 475-1250 MeV. The data are inconclusive with respect to antineutrino oscillations suggested by data from the Liquid Scintillator Neutrino Detector at Los Alamos National Laboratory.
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Affiliation(s)
- A A Aguilar-Arevalo
- Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Distrito Federal 04510, México
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Aguilar-Arevalo AA, Anderson CE, Bazarko AO, Brice SJ, Brown BC, Bugel L, Cao J, Coney L, Conrad JM, Cox DC, Curioni A, Djurcic Z, Finley DA, Fleming BT, Ford R, Garcia FG, Garvey GT, Green C, Green JA, Hart TL, Hawker E, Imlay R, Johnson RA, Karagiorgi G, Kasper P, Katori T, Kobilarcik T, Kourbanis I, Koutsoliotas S, Laird EM, Linden SK, Link JM, Liu Y, Liu Y, Louis WC, Mahn KBM, Marsh W, McGary VT, McGregor G, Metcalf W, Meyers PD, Mills F, Mills GB, Monroe J, Moore CD, Nelson RH, Nienaber P, Nowak JA, Osmanov B, Ouedraogo S, Patterson RB, Perevalov D, Polly CC, Prebys E, Raaf JL, Ray H, Roe BP, Russell AD, Sandberg V, Schirato R, Schmitz D, Shaevitz MH, Shoemaker FC, Smith D, Soderberg M, Sorel M, Spentzouris P, Spitz J, Stancu I, Stefanski RJ, Sung M, Tanaka HA, Tayloe R, Tzanov M, Van de Water R, Wascko MO, White DH, Wilking MJ, Yang HJ, Zeller GP, Zimmerman ED. Measurement of the ratio of the numu charged-current single-pion production to quasielastic scattering with a 0.8 GeV neutrino beam on mineral oil. Phys Rev Lett 2009; 103:081801. [PMID: 19792715 DOI: 10.1103/physrevlett.103.081801] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2009] [Indexed: 05/28/2023]
Abstract
Using high statistics samples of charged-current numu interactions, the MiniBooNE [corrected] Collaboration reports a measurement of the single-charged-pion production to quasielastic cross section ratio on mineral oil (CH2), both with and without corrections for hadron reinteractions in the target nucleus. The result is provided as a function of neutrino energy in the range 0.4 GeV<Enu<2.4 GeV with 11% precision in the region of highest statistics. The results are consistent with previous measurements and the prediction from historical neutrino calculations.
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Aguilar-Arevalo AA, Anderson CE, Bazarko AO, Brice SJ, Brown BC, Bugel L, Cao J, Coney L, Conrad JM, Cox DC, Curioni A, Djurcic Z, Finley DA, Fleming BT, Ford R, Garcia FG, Garvey GT, Grange J, Green C, Green JA, Hart TL, Hawker E, Imlay R, Johnson RA, Karagiorgi G, Kasper P, Katori T, Kobilarcik T, Kourbanis I, Koutsoliotas S, Laird EM, Linden SK, Link JM, Liu Y, Liu Y, Louis WC, Mahn KBM, Marsh W, Mauger C, McGary VT, McGregor G, Metcalf W, Meyers PD, Mills F, Mills GB, Monroe J, Moore CD, Mousseau J, Nelson RH, Nienaber P, Nowak JA, Osmanov B, Ouedraogo S, Patterson RB, Pavlovic Z, Perevalov D, Polly CC, Prebys E, Raaf JL, Ray H, Roe BP, Russell AD, Sandberg V, Schirato R, Schmitz D, Shaevitz MH, Shoemaker FC, Smith D, Soderberg M, Sorel M, Spentzouris P, Spitz J, Stancu I, Stefanski RJ, Sung M, Tanaka HA, Tayloe R, Tzanov M, Van de Water RG, Wascko MO, White DH, Wilking MJ, Yang HJ, Zeller GP, Zimmerman ED. Search for muon neutrino and antineutrino disappearance in MiniBooNE. Phys Rev Lett 2009; 103:061802. [PMID: 19792551 DOI: 10.1103/physrevlett.103.061802] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2009] [Indexed: 05/28/2023]
Abstract
The MiniBooNE Collaboration reports a search for nu_{micro} and nu[over]_{micro} disappearance in the Deltam;{2} region of 0.5-40 eV;{2}. These measurements are important for constraining models with extra types of neutrinos, extra dimensions, and CPT violation. Fits to the shape of the nu_{micro} and nu[over]_{micro} energy spectra reveal no evidence for disappearance at the 90% confidence level (C.L.) in either mode. The test of nu[over]_{micro} disappearance probes a region below Deltam;{2} = 40 eV;{2} never explored before.
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Adamson P, Aguilar-Arevalo AA, Anderson CE, Bazarko AO, Bishai M, Brice SJ, Brown BC, Bugel L, Cao J, Choudhary BC, Coney L, Conrad JM, Cox DC, Curioni A, Djurcic Z, Finley DA, Fleming BT, Ford R, Gallagher HR, Garcia FG, Garvey GT, Green C, Green JA, Harris D, Hart TL, Hawker E, Hylen J, Imlay R, Johnson RA, Karagiorgi G, Kasper P, Katori T, Kobilarcik T, Kopp S, Kourbanis I, Koutsoliotas S, Laird EM, Linden SK, Link JM, Liu Y, Liu Y, Loiacono L, Louis WC, Marchionni A, Mahn KBM, Marsh W, McGregor G, Messier MD, Metcalf W, Meyers PD, Mills F, Mills GB, Monroe J, Moore CD, Nelson JK, Nelson RH, Nguyen VT, Nienaber P, Nowak JA, Ouedraogo S, Patterson RB, Pavlovic Z, Perevalov D, Polly CC, Prebys E, Raaf JL, Ray H, Roe BP, Russell AD, Sandberg V, Schirato R, Schmitz D, Shaevitz MH, Shoemaker FC, Smart W, Smith D, Sodeberg M, Sorel M, Spentzouris P, Stancu I, Stefanski RJ, Sung M, Tanaka HA, Tayloe R, Tzanov M, Vahle P, Van de Water R, Viren B, Wascko MO, White DH, Wilking MJ, Yang HJ, Yumiceva FX, Zeller GP, Zimmerman ED, Zwaska R. Measurement of numicro and nue events in an off-axis horn-focused neutrino beam. Phys Rev Lett 2009; 102:211801. [PMID: 19519094 DOI: 10.1103/physrevlett.102.211801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2008] [Indexed: 05/27/2023]
Abstract
We report the first observation of off-axis neutrino interactions in the MiniBooNE detector from the NuMI beam line at Fermilab. The MiniBooNE detector is located 745 m from the NuMI production target, at 110 mrad angle (6.3 degrees) with respect to the NuMI beam axis. Samples of charged-current quasielastic numicro and nue interactions are analyzed and found to be in agreement with expectation. This provides a direct verification of the expected pion and kaon contributions to the neutrino flux and validates the modeling of the NuMI off-axis beam.
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Affiliation(s)
- P Adamson
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
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Aguilar-Arevalo AA, Anderson CE, Bazarko AO, Brice SJ, Brown BC, Bugel L, Cao J, Coney L, Conrad JM, Cox DC, Curioni A, Djurcic Z, Finley DA, Fleming BT, Ford R, Garcia FG, Garvey GT, Green C, Green JA, Hart TL, Hawker E, Imlay R, Johnson RA, Karagiorgi G, Kasper P, Katori T, Kobilarcik T, Kourbanis I, Koutsoliotas S, Laird EM, Linden SK, Link JM, Liu Y, Liu Y, Louis WC, Mahn KBM, Marsh W, McGregor G, Metcalf W, Meyers PD, Mills F, Mills GB, Monroe J, Moore CD, Nelson RH, Nguyen VT, Nienaber P, Nowak JA, Ouedraogo S, Patterson RB, Perevalov D, Polly CC, Prebys E, Raaf JL, Ray H, Roe BP, Russell AD, Sandberg V, Schirato R, Schmitz D, Shaevitz MH, Shoemaker FC, Smith D, Sodeberg M, Sorel M, Spentzouris P, Stancu I, Stefanski RJ, Sung M, Tanaka HA, Tayloe R, Tzanov M, Van de Water R, Wascko MO, White DH, Wilking MJ, Yang HJ, Zeller GP, Zimmerman ED. Unexplained excess of electronlike events from a 1-GeV neutrino beam. Phys Rev Lett 2009; 102:101802. [PMID: 19392103 DOI: 10.1103/physrevlett.102.101802] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2008] [Indexed: 05/27/2023]
Abstract
The MiniBooNE Collaboration observes unexplained electronlike events in the reconstructed neutrino energy range from 200 to 475 MeV. With 6.46x10;{20} protons on target, 544 electronlike events are observed in this energy range, compared to an expectation of 415.2+/-43.4 events, corresponding to an excess of 128.8+/-20.4+/-38.3 events. The shape of the excess in several kinematic variables is consistent with being due to either nu_{e} and nu[over ]_{e} charged-current scattering or nu_{mu} neutral-current scattering with a photon in the final state. No significant excess of events is observed in the reconstructed neutrino energy range from 475 to 1250 MeV, where 408 events are observed compared to an expectation of 385.9+/-35.7 events.
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Brown BC, McKenna SP, Siddhi K, McGrouther DA, Bayat A. The hidden cost of skin scars: quality of life after skin scarring. J Plast Reconstr Aesthet Surg 2008; 61:1049-58. [PMID: 18617450 DOI: 10.1016/j.bjps.2008.03.020] [Citation(s) in RCA: 327] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2007] [Revised: 02/17/2008] [Accepted: 03/07/2008] [Indexed: 11/25/2022]
Abstract
BACKGROUND Surprisingly little is known about how skin scars affect patients' lives, though specialist clinical impressions suggest their impact is related to both their physical and psychosocial effects. Facial scars have been shown to cause high levels of anxiety and self-consciousness, but further work has been neglected. We aimed to explore the influence of skin scars on patients' quality of life (QoL) and identify potential implications for clinical practice. METHODS We adopted a needs-based approach to QoL and conducted semi-structured interviews with scar patients at a specialist clinic. Transcribed data underwent interpretative phenomenological analysis to identify common themes in individuals' personal experiences. RESULTS Thirty-four scar patients (24 women; aged 14-70 years, mean=35.7 years, SD=17.9 years) with a wide range of scar type, severity and onset were recruited. Five hundred and seventy-three statements were identified from interview transcripts relating to need impairment by skin scars. These were subsequently classified into 44 themes covering five main areas: physical comfort and functioning; acceptability to self and others; social functioning; confidence in the nature and management of the condition; emotional well-being. The majority of respondents were unhappy with their scar's appearance due to their perceived stigma and psychological associations, and thus adopted different coping behaviours to hide or compensate for them. Often this made them unsociable and interfered with their communication skills, personal relationships, work life and leisure activities. Concerns about the diagnosis and persistent nature of scars were common, whilst unempathic management by general physicians and frustrations of current treatment compounded distress. CONCLUSIONS There are five main areas of impact on the needs of scar patients that should be addressed in their management, which are greater and more complex than previously considered. Support services should be made available, along with clinician and public education to improve management and help reduce patient distress. A need for a carefully designed measure of scar-related QoL is also indicated, for use in clinical settings and trials.
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Affiliation(s)
- B C Brown
- Plastic & Reconstructive Surgery Research, Manchester Interdisciplinary Biocentre, The University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
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Aguilar-Arevalo AA, Bazarko AO, Brice SJ, Brown BC, Bugel L, Cao J, Coney L, Conrad JM, Cox DC, Curioni A, Djurcic Z, Finley DA, Fleming BT, Ford R, Garcia FG, Garvey GT, Green C, Green JA, Hart TL, Hawker E, Imlay R, Johnson RA, Kasper P, Katori T, Kobilarcik T, Kourbanis I, Koutsoliotas S, Laird EM, Link JM, Liu Y, Liu Y, Louis WC, Mahn KBM, Marsh W, Martin PS, McGregor G, Metcalf W, Meyers PD, Mills F, Mills GB, Monroe J, Moore CD, Nelson RH, Nienaber P, Ouedraogo S, Patterson RB, Perevalov D, Polly CC, Prebys E, Raaf JL, Ray H, Roe BP, Russell AD, Sandberg V, Schirato R, Schmitz D, Shaevitz MH, Shoemaker FC, Smith D, Sorel M, Spentzouris P, Stancu I, Stefanski RJ, Sung M, Tanaka HA, Tayloe R, Tzanov M, Van de Water R, Wascko MO, White DH, Wilking MJ, Yang HJ, Zeller GP, Zimmerman ED. Measurement of muon neutrino quasielastic scattering on carbon. Phys Rev Lett 2008; 100:032301. [PMID: 18232974 DOI: 10.1103/physrevlett.100.032301] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2007] [Indexed: 05/25/2023]
Abstract
The observation of neutrino oscillations is clear evidence for physics beyond the standard model. To make precise measurements of this phenomenon, neutrino oscillation experiments, including MiniBooNE, require an accurate description of neutrino charged current quasielastic (CCQE) cross sections to predict signal samples. Using a high-statistics sample of nu_(mu) CCQE events, MiniBooNE finds that a simple Fermi gas model, with appropriate adjustments, accurately characterizes the CCQE events observed in a carbon-based detector. The extracted parameters include an effective axial mass, M_(A)(eff)=1.23+/-0.20 GeV, that describes the four-momentum dependence of the axial-vector form factor of the nucleon, and a Pauli-suppression parameter, kappa=1.019+/-0.011. Such a modified Fermi gas model may also be used by future accelerator-based experiments measuring neutrino oscillations on nuclear targets.
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Aguilar-Arevalo AA, Bazarko AO, Brice SJ, Brown BC, Bugel L, Cao J, Coney L, Conrad JM, Cox DC, Curioni A, Djurcic Z, Finley DA, Fleming BT, Ford R, Garcia FG, Garvey GT, Green C, Green JA, Hart TL, Hawker E, Imlay R, Johnson RA, Kasper P, Katori T, Kobilarcik T, Kourbanis I, Koutsoliotas S, Laird EM, Link JM, Liu Y, Liu Y, Louis WC, Mahn KBM, Marsh W, Martin PS, McGregor G, Metcalf W, Meyers PD, Mills F, Mills GB, Monroe J, Moore CD, Nelson RH, Nienaber P, Ouedraogo S, Patterson RB, Perevalov D, Polly CC, Prebys E, Raaf JL, Ray H, Roe BP, Russell AD, Sandberg V, Schirato R, Schmitz D, Shaevitz MH, Shoemaker FC, Smith D, Sorel M, Spentzouris P, Stancu I, Stefanski RJ, Sung M, Tanaka HA, Tayloe R, Tzanov M, Van de Water R, Wascko MO, White DH, Wilking MJ, Yang HJ, Zeller GP, Zimmerman ED. Search for electron neutrino appearance at the Delta m2 approximately 1 eV2 scale. Phys Rev Lett 2007; 98:231801. [PMID: 17677898 DOI: 10.1103/physrevlett.98.231801] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2007] [Indexed: 05/16/2023]
Abstract
The MiniBooNE Collaboration reports first results of a search for nu e appearance in a nu mu beam. With two largely independent analyses, we observe no significant excess of events above the background for reconstructed neutrino energies above 475 MeV. The data are consistent with no oscillations within a two-neutrino appearance-only oscillation model.
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Tarasidis G, Brown BC, Skandalakis LJ, Mackay G, Lauer RC, Gray SW, Skandalakis JE. Smooth muscle tumors of the rectum and anus: a collective review of the world literature. J Med Assoc Ga 1991; 80:685-99. [PMID: 1800593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
In this collective review, we have compiled all the reported cases of smooth muscle tumors of the rectum/anus in the world literature from 1959 to 1989. Our goal was to increase the data pool of smooth muscle tumors by adding these new data to that previously collected from 1881 to 1959. We increased the pool for leiomyomas from 89 to 148 and that for leiomyosarcomas from 54 to 215. By doing this, we hoped to make more accurate conclusions about smooth muscle tumors based on this increased data pool. Some interesting findings included three cases in small children that were found in our recent review: a 2-year-old with a leiomyoma and two small infants, aged 12 days and 36 days, with leiomyosarcomas. Again, the findings were probably consistent with an increased data pool. We were also able to find several more cases involving the anal region. We found the highest incidence of leiomyomas to have increased by a decade from the 40-49 year age group to the 50-59 year age group, while among leiomyosarcomas, there was about equal incidence among the 50-59 and 60-69 age groups. We doubt that these represent actual changes in the demographics, but rather that these latter findings are more accurate based on the greater quantity of cases available to us. As a further example, we found no appreciable sex difference; however, we did find more cases reported in females. From our increased data pool, we were able to find 16 more cases that were described as dumbbell-shaped, compared to one that was reported before 1959. Palpable mass, hemorrhage, and pain/discomfort continued as the most common symptoms reported at presentation. With regard to size, the majority of leiomyomas were found to be less than 5 cm in diameter, closely followed by those 5-9 cm. The majority of leiomyosarcomas were 5-9 centimeters at discovery. Most cases of leiomyoma were treated by excision, while most cases of leiomyosarcoma were treated by abdominoperineal resection, a finding consistent with old data. We hope that this paper thoroughly reviews pertinent information about leiomyomas and leiomyosarcomas of the rectum/anus and, in doing so, serves to refresh a few memories, stimulate others, and teach a few.
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Affiliation(s)
- G Tarasidis
- Washington University/Barnes Hospital, St. Louis, Missouri
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Tarasidis G, Brown BC, Skandalakis LJ, Mackay G, Lauer RC, Gray SW, Skandalakis JE. Smooth muscle tumors of the appendix and colon: a collective review of the world literature. J Med Assoc Ga 1991; 80:667-83. [PMID: 1800592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
In this collective review, we compiled all reported cases of smooth muscle tumors of the colon/appendix in the world literature from 1959 to 1989. Our goal was to make more accurate conclusions about these tumors based on our increased data pool.
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Affiliation(s)
- G Tarasidis
- Washington University, Barnes Hospital, St. Louis, Missouri
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25
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Brown BC, Mason TE, Ballard WP, Wickliffe CW, Bone D. Cardiac angiosarcoma: a case report. J Med Assoc Ga 1991; 80:435-8. [PMID: 1940696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Primary neoplasms of the heart are rare and difficult to diagnose prior to surgery, even with modern imaging techniques. Often, the tumors are diagnosed only at autopsy. Angiosarcoma is the most common malignant neoplasm. This disease is most commonly found in middle-aged men, and the tumor is most often located in the right atrium. It commonly causes blood flow abnormalities, extensively infiltrates cardiac structures, and may extend through the heart wall to involve adjacent structures. Metastatic spread at the time of diagnosis is common, and surgical mortality is high. We present a case of primary angiosarcoma involving the right ventricle of the heart. This tumor developed 6 months after the patient had undergone coronary artery bypass surgery. The patient was initially thought to have a massive thrombus within the right ventricle but at surgery was found to have a malignant neoplasm invading the myocardium. Subsequently, he was found to have pulmonary metastases. A debulking procedure was performed, and the patient was started on chemotherapy. Rather prompt improvement occurred after the debulking procedure, but subsequent studies have indicated progression of the pulmonary metastases despite ongoing chemotherapy.
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Affiliation(s)
- B C Brown
- Pathology Department, Piedmont Hospital, Atlanta, GA 30309
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26
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Allen KB, Skandalakis LJ, Brown BC, Gray SW, Skandalakis JE. Malignant fibrous histiocytoma of the pancreas. Am Surg 1990; 56:364-8. [PMID: 2161631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Malignant fibrous histiocytoma (MFH) is a well-recognized soft-tissue sarcoma; however, its presentation as a primary neoplasm of the pancreas is unusual. We report a rare case of primary MFH of the pancreas treated with wide local excision and postoperative chemotherapy. Three cases of MFH of the pancreas have previously been reported in the world literature. The natural history of MFH of the pancreas cannot be summarized due to the rarity of the tumor. It appears, however, that the behavior of this tumor parallels the behavior of retroperitoneal MFH in terms of aggressiveness and poor prognosis.
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Affiliation(s)
- K B Allen
- Department of Surgery, Emory University School of Medicine, Atlanta, Georgia 30322
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27
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Nakano PH, Bloom RR, Brown BC, Gray SW, Skandalakis JE, Kibbe JM. Apudomas. Am Surg 1987; 53:505-9. [PMID: 2820286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Apudomas are neoplasms known to produce many biologically active amines. Some of these tumors have been known for 70 years, but over the last 15 years a wealth of new knowledge has been obtained. This study reports experience with apudomas over an 8-year period (1975-1983) at The Piedmont Hospital. There were 159 tumors with the potential for producing various ectopic hormones as well as biologically active amines, including 112 oat cell carcinomas, 37 carcinoid tumors, 4 paragangliomas, 2 pancreatic islet cell tumors, 2 medullary thyroid carcinomas, 1 pituitary adenoma, and 1 pinealocytoma. Of the 112 oat cell carcinomas, only 2 per cent had hormone-related symptoms. Of the carcinoid tumors, 12 were found in the appendix, 9 in the small intestine, 9 in the lungs, 4 in the colon and 2 in the rectum. Nineteen of the 37 carcinoids had hormone-related symptoms but none had a classic carcinoid syndrome. A third group of apudomas included several of relative rarity, the paragangliomas, the medullary thyroid carcinomas, the pancreatic islet cell tumors, pituitary adenomas, and pinealocytomas. Of this latter group, only the pancreatic islet cell tumors had symptomatology that could be related to ectopic hormone production.
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Lee JR, Gray SW, Brown BC, Skandalakis JE. Diffuse histiocytic lymphomas of the gastrointestinal tract in the adult. Surg Gynecol Obstet 1983; 157:286-300. [PMID: 6351309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Diffuse histiocytic lymphomas (Rappaport) are extranodal lesions frequently formed in the digestive tract. They are clinically different from lymphomas of nodal origin and are no longer considered to arise from histiocytes. They comprise from one-third to one-half of non Hodgkin's lymphomas and chiefly involve the stomach and duodenum. Identification of these tumors and their place in current systems of classification, at present, depends on sophisticated immunologic, histochemical and ultramicroscopic procedures not always suitable for clinical prognosis. Staging laparotomy, useful in Hodgkin's disease, does not always correlate with the prognosis of non Hodgkin's lesions. Radical removal of the affected organ may be curative. Nonresectable lesions may be treated with radiation and chemotherapy. Methotrexate, cyclophosphamide, vincristine, prednisone, nitrogen mustard, Adriamycin, bleomycin and other substances have been used in various combinations to obtain remission of the disease. While results have been favorable, the ideal therapeutic agent has not been found.
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Plotz PH, Klippel JH, Decker JL, Grauman D, Wolff B, Brown BC, Rutt G. Bladder complications in patients receiving cyclophosphamide for systemic lupus erythematosus or rheumatoid arthritis. Ann Intern Med 1979; 91:221-3. [PMID: 464465 DOI: 10.7326/0003-4819-91-2-221] [Citation(s) in RCA: 127] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The bladder complications of 54 patients treated with oral cyclophosphamide for systemic lupus erythematosus (43) or rheumatoid arthritis (11) were reviewed. During an observation period of 241 patient years, we saw seven cases of acute hemorrhagic cystitis and two cases of transitional cell carcinoma of the bladder. Bladder carcinoma was identified 28 and 60 months after withdrawal of the drug and resulted in the death of one patient. The late-occurring serious toxicities of cyclophosphamide should limit the use of the drug in the treatment of nonmalignant inflammatory rheumatic conditions.
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Brown BC. Femoral neck fracture in a dog. J Am Vet Med Assoc 1972; 161:800-2. [PMID: 4669258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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