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Amarasinghe HE, Zhang P, Whalley JP, Allcock A, Migliorini G, Brown AC, Scozzafava G, Knight JC. Mapping the epigenomic landscape of human monocytes following innate immune activation reveals context-specific mechanisms driving endotoxin tolerance. BMC Genomics 2023; 24:595. [PMID: 37805492 PMCID: PMC10559536 DOI: 10.1186/s12864-023-09663-0] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 09/08/2023] [Indexed: 10/09/2023] Open
Abstract
BACKGROUND Monocytes are key mediators of innate immunity to infection, undergoing profound and dynamic changes in epigenetic state and immune function which are broadly protective but may be dysregulated in disease. Here, we aimed to advance understanding of epigenetic regulation following innate immune activation, acutely and in endotoxin tolerant states. METHODS We exposed human primary monocytes from healthy donors (n = 6) to interferon-γ or differing combinations of endotoxin (lipopolysaccharide), including acute response (2 h) and two models of endotoxin tolerance: repeated stimulations (6 + 6 h) and prolonged exposure to endotoxin (24 h). Another subset of monocytes was left untreated (naïve). We identified context-specific regulatory elements based on epigenetic signatures for chromatin accessibility (ATAC-seq) and regulatory non-coding RNAs from total RNA sequencing. RESULTS We present an atlas of differential gene expression for endotoxin and interferon response, identifying widespread context specific changes. Across assayed states, only 24-29% of genes showing differential exon usage are also differential at the gene level. Overall, 19.9% (6,884 of 34,616) of repeatedly observed ATAC peaks were differential in at least one condition, the majority upregulated on stimulation and located in distal regions (64.1% vs 45.9% of non-differential peaks) within which sequences were less conserved than non-differential peaks. We identified enhancer-derived RNA signatures specific to different monocyte states that correlated with chromatin accessibility changes. The endotoxin tolerance models showed distinct chromatin accessibility and transcriptomic signatures, with integrated analysis identifying genes and pathways involved in the inflammatory response, detoxification, metabolism and wound healing. We leveraged eQTL mapping for the same monocyte activation states to link potential enhancers with specific genes, identifying 1,946 unique differential ATAC peaks with 1,340 expression associated genes. We further use this to inform understanding of reported GWAS, for example involving FCHO1 and coronary artery disease. CONCLUSION This study reports context-specific regulatory elements based on transcriptomic profiling and epigenetic signatures for enhancer-derived RNAs and chromatin accessibility in immune tolerant monocyte states, and demonstrates the informativeness of linking such elements and eQTL to inform future mechanistic studies aimed at defining therapeutic targets of immunosuppression and diseases.
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Affiliation(s)
- Harindra E Amarasinghe
- Wellcome Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, OX3 7BN, UK.
| | - Ping Zhang
- Wellcome Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, OX3 7BN, UK
- Chinese Academy of Medical Science Oxford Institute, University of Oxford, Oxford, OX3 7BN, UK
| | - Justin P Whalley
- Wellcome Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, OX3 7BN, UK
| | - Alice Allcock
- Wellcome Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, OX3 7BN, UK
| | - Gabriele Migliorini
- Wellcome Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, OX3 7BN, UK
| | - Andrew C Brown
- Wellcome Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, OX3 7BN, UK
| | - Giuseppe Scozzafava
- Wellcome Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, OX3 7BN, UK
| | - Julian C Knight
- Wellcome Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, OX3 7BN, UK.
- Chinese Academy of Medical Science Oxford Institute, University of Oxford, Oxford, OX3 7BN, UK.
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2
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Brown AC, Cohen CJ, Mielczarek O, Migliorini G, Costantino F, Allcock A, Davidson C, Elliott KS, Fang H, Lledó Lara A, Martin AC, Osgood JA, Sanniti A, Scozzafava G, Vecellio M, Zhang P, Black MH, Li S, Truong D, Molineros J, Howe T, Wordsworth BP, Bowness P, Knight JC. Comprehensive epigenomic profiling reveals the extent of disease-specific chromatin states and informs target discovery in ankylosing spondylitis. Cell Genom 2023; 3:100306. [PMID: 37388915 PMCID: PMC10300554 DOI: 10.1016/j.xgen.2023.100306] [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] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 01/30/2023] [Accepted: 03/27/2023] [Indexed: 07/01/2023]
Abstract
Ankylosing spondylitis (AS) is a common, highly heritable inflammatory arthritis characterized by enthesitis of the spine and sacroiliac joints. Genome-wide association studies (GWASs) have revealed more than 100 genetic associations whose functional effects remain largely unresolved. Here, we present a comprehensive transcriptomic and epigenomic map of disease-relevant blood immune cell subsets from AS patients and healthy controls. We find that, while CD14+ monocytes and CD4+ and CD8+ T cells show disease-specific differences at the RNA level, epigenomic differences are only apparent upon multi-omics integration. The latter reveals enrichment at disease-associated loci in monocytes. We link putative functional SNPs to genes using high-resolution Capture-C at 10 loci, including PTGER4 and ETS1, and show how disease-specific functional genomic data can be integrated with GWASs to enhance therapeutic target discovery. This study combines epigenetic and transcriptional analysis with GWASs to identify disease-relevant cell types and gene regulation of likely pathogenic relevance and prioritize drug targets.
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Affiliation(s)
- Andrew C. Brown
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Carla J. Cohen
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DS, UK
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK
| | - Olga Mielczarek
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Horizon Discovery (PerkinElmer) Cambridge Research Park, 8100 Beach Dr., Waterbeach, Cambridge CB25 9TL, UK
| | - Gabriele Migliorini
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Department of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, UK
| | - Félicie Costantino
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- UVSQ, INSERM UMR1173, Infection et Inflammation, Laboratory of Excellence INFLAMEX, Université Paris-Saclay, Paris, France
- Rheumatology Department, AP-HP, Ambroise Paré Hospital, Paris, France
| | - Alice Allcock
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Connor Davidson
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK
| | | | - Hai Fang
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Alicia Lledó Lara
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Alice C. Martin
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Julie A. Osgood
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Anna Sanniti
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Giuseppe Scozzafava
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Matteo Vecellio
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK
- Centro Ricerche Fondazione Italiana Ricerca sull’Artrite (FIRA), Fondazione Pisana per la Scienza ONLUS, Via Ferruccio Giovannini 13, 56017 San Giuliano Terme (Pisa), Italy
| | - Ping Zhang
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Chinese Academy of Medical Sciences Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK
| | - Mary Helen Black
- Data Science, Population Analytics, Janssen R&D, Spring House, PA 19002, USA
| | - Shuwei Li
- Data Science, Population Analytics, Janssen R&D, Spring House, PA 19002, USA
| | - Dongnhu Truong
- Data Science, Population Analytics, Janssen R&D, Spring House, PA 19002, USA
| | - Julio Molineros
- Data Science, Population Analytics, Janssen R&D, Spring House, PA 19002, USA
| | - Trevor Howe
- Data Science, External Innovation, Janssen R&D, London W1G 0BG, UK
| | - B. Paul Wordsworth
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK
- National Institute for Health Research, Comprehensive Biomedical Research Centre, Oxford OX4 2PG, UK
| | - Paul Bowness
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK
- National Institute for Health Research, Comprehensive Biomedical Research Centre, Oxford OX4 2PG, UK
| | - Julian C. Knight
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Chinese Academy of Medical Sciences Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK
- National Institute for Health Research, Comprehensive Biomedical Research Centre, Oxford OX4 2PG, UK
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3
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Studd JB, Vijayakrishnan J, Yang M, Migliorini G, Paulsson K, Houlston RS. Correction: Author Correction: Genetic and regulatory mechanism of susceptibility to high-hyperdiploid acute lymphoblastic leukaemia at 10q21.2. Nat Commun 2018; 9:16204. [PMID: 29799527 PMCID: PMC6026908 DOI: 10.1038/ncomms16204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
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4
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Litchfield K, Levy M, Orlando G, Loveday C, Law P, Migliorini G, Holroyd A, Broderick P, Karlsson R, Haugen TB, Kristiansen W, Nsengimana J, Fenwick K, Assiotis I, Kote-Jarai ZS, Dunning AM, Muir K, Peto J, Eeles R, Easton DF, Dudakia D, Orr N, Pashayan N, Bishop DT, Reid A, Huddart RA, Shipley J, Grotmol T, Wiklund F, Houlston RS, Turnbull C. Identification of 19 new risk loci and potential regulatory mechanisms influencing susceptibility to testicular germ cell tumor. Nat Genet 2017; 49:1133-1140. [PMID: 28604728 PMCID: PMC6016736 DOI: 10.1038/ng.3896] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [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: 05/25/2016] [Accepted: 05/16/2017] [Indexed: 12/29/2022]
Abstract
Genome-wide association studies (GWAS) have transformed understanding of susceptibility to testicular germ cell tumors (TGCTs), but much of the heritability remains unexplained. Here we report a new GWAS, a meta-analysis with previous GWAS and a replication series, totaling 7,319 TGCT cases and 23,082 controls. We identify 19 new TGCT risk loci, roughly doubling the number of known TGCT risk loci to 44. By performing in situ Hi-C in TGCT cells, we provide evidence for a network of physical interactions among all 44 TGCT risk SNPs and candidate causal genes. Our findings implicate widespread disruption of developmental transcriptional regulators as a basis of TGCT susceptibility, consistent with failed primordial germ cell differentiation as an initiating step in oncogenesis. Defective microtubule assembly and dysregulation of KIT-MAPK signaling also feature as recurrently disrupted pathways. Our findings support a polygenic model of risk and provide insight into the biological basis of TGCT.
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Affiliation(s)
- Kevin Litchfield
- Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Max Levy
- Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Giulia Orlando
- Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Chey Loveday
- Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Philip Law
- Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Gabriele Migliorini
- Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Amy Holroyd
- Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Peter Broderick
- Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 171 77, Sweden
| | - Trine B Haugen
- Faculty of Health Sciences, Oslo and Akershus University College of Applied Sciences, Oslo, Norway
| | - Wenche Kristiansen
- Faculty of Health Sciences, Oslo and Akershus University College of Applied Sciences, Oslo, Norway
| | - Jérémie Nsengimana
- Section of Epidemiology & Biostatistics, Leeds Institute of Cancer and Pathology, Leeds, LS9 7TF, UK
| | - Kerry Fenwick
- Tumour Profiling Unit, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Ioannis Assiotis
- Tumour Profiling Unit, The Institute of Cancer Research, London, SM2 5NG, UK
| | - ZSofia Kote-Jarai
- Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Kenneth Muir
- Division of Health Sciences, Warwick Medical School, Warwick University, CV4 7AL, UK
- Institute of Population Health, University of Manchester, M1 3BB, UK
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Rosalind Eeles
- Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, London, SM2 5NG, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Darshna Dudakia
- Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Nick Orr
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK
| | - Nora Pashayan
- Department of Applied Health Research, University College London, London, WC1E 6BT, UK
| | | | | | - D. Timothy Bishop
- Section of Epidemiology & Biostatistics, Leeds Institute of Cancer and Pathology, Leeds, LS9 7TF, UK
| | - Alison Reid
- Academic Radiotherapy Unit, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Robert A Huddart
- Academic Radiotherapy Unit, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Janet Shipley
- Division of Molecular Pathology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Tom Grotmol
- Department of Research, Cancer Registry of Norway, Oslo, 0369, Norway
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 171 77, Sweden
| | - Richard S Houlston
- Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Clare Turnbull
- Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK
- William Harvey Research Institute, Queen Mary University, London, EC1M 6BQ, UK
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5
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Kandaswamy R, Sava GP, Speedy HE, Beà S, Martín-Subero JI, Studd JB, Migliorini G, Law PJ, Puente XS, Martín-García D, Salaverria I, Gutiérrez-Abril J, López-Otín C, Catovsky D, Allan JM, Campo E, Houlston RS. Genetic Predisposition to Chronic Lymphocytic Leukemia Is Mediated by a BMF Super-Enhancer Polymorphism. Cell Rep 2016; 16:2061-2067. [PMID: 27524613 PMCID: PMC4999417 DOI: 10.1016/j.celrep.2016.07.053] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Revised: 06/14/2016] [Accepted: 07/20/2016] [Indexed: 12/26/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) is an adult B cell malignancy. Genome-wide association studies show that variation at 15q15.1 influences CLL risk. We deciphered the causal variant at 15q15.1 and the mechanism by which it influences tumorigenesis. We imputed all possible genotypes across the locus and then mapped highly associated SNPs to areas of chromatin accessibility, evolutionary conservation, and transcription factor binding. SNP rs539846 C>A, the most highly associated variant (p = 1.42 × 10−13, odds ratio = 1.35), localizes to a super-enhancer defined by extensive histone H3 lysine 27 acetylation in intron 3 of B cell lymphoma 2 (BCL2)-modifying factor (BMF). The rs539846-A risk allele alters a conserved RELA-binding motif, disrupts RELA binding, and is associated with decreased BMF expression in CLL. These findings are consistent with rs539846 influencing CLL susceptibility through differential RELA binding, with direct modulation of BMF expression impacting on anti-apoptotic BCL2, a hallmark of oncogenic dependency in CLL. SNP rs539846 underlies 15q15.1 association with chronic lymphocytic leukemia rs539846 resides in a B cell super-enhancer, disrupting a conserved RELA-binding site The rs539846 risk allele (A) reduces enhancer activity and RELA binding in CLL rs539846-A confers lower BMF expression
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MESH Headings
- Adaptor Proteins, Signal Transducing/genetics
- Adaptor Proteins, Signal Transducing/metabolism
- Alleles
- B-Lymphocytes/metabolism
- B-Lymphocytes/pathology
- Binding Sites
- Cell Line, Tumor
- Chromatin/chemistry
- Chromatin/metabolism
- Chromosome Mapping
- Chromosomes, Human, Pair 15
- Enhancer Elements, Genetic
- Genetic Loci
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Histones/genetics
- Histones/metabolism
- Humans
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/metabolism
- Leukemia, Lymphocytic, Chronic, B-Cell/pathology
- Odds Ratio
- Polymorphism, Single Nucleotide
- Protein Binding
- Proto-Oncogene Proteins c-bcl-2/genetics
- Proto-Oncogene Proteins c-bcl-2/metabolism
- Risk
- Transcription Factor RelA/genetics
- Transcription Factor RelA/metabolism
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Affiliation(s)
- Radhika Kandaswamy
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Georgina P Sava
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Helen E Speedy
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Sílvia Beà
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - José I Martín-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain; Departament d'Anatomía Patològica, Microbiología i Farmacología, Universitat de Barcelona, 08036 Barcelona, Spain
| | - James B Studd
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Gabriele Migliorini
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Philip J Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Xose S Puente
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, 33006 Oviedo, Spain
| | - David Martín-García
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Itziar Salaverria
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Jesús Gutiérrez-Abril
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, 33006 Oviedo, Spain
| | - Carlos López-Otín
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, 33006 Oviedo, Spain
| | - Daniel Catovsky
- Division of Molecular Pathology, The Institute of Cancer Research, London SW7 3RP, UK
| | - James M Allan
- Newcastle Cancer Centre, Northern Institute for Cancer Research, Medical School, Newcastle University, Newcastle-upon-Tyne NE2 4HH, UK
| | - Elías Campo
- Unitat de Hematología, Hospital Clínic, IDIBAPS, Universitat de Barcelona, 08036 Barcelona, Spain
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK; Division of Molecular Pathology, The Institute of Cancer Research, London SW7 3RP, UK.
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6
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Mitchell JS, Li N, Weinhold N, Försti A, Ali M, van Duin M, Thorleifsson G, Johnson DC, Chen B, Halvarsson BM, Gudbjartsson DF, Kuiper R, Stephens OW, Bertsch U, Broderick P, Campo C, Einsele H, Gregory WA, Gullberg U, Henrion M, Hillengass J, Hoffmann P, Jackson GH, Johnsson E, Jöud M, Kristinsson SY, Lenhoff S, Lenive O, Mellqvist UH, Migliorini G, Nahi H, Nelander S, Nickel J, Nöthen MM, Rafnar T, Ross FM, da Silva Filho MI, Swaminathan B, Thomsen H, Turesson I, Vangsted A, Vogel U, Waage A, Walker BA, Wihlborg AK, Broyl A, Davies FE, Thorsteinsdottir U, Langer C, Hansson M, Kaiser M, Sonneveld P, Stefansson K, Morgan GJ, Goldschmidt H, Hemminki K, Nilsson B, Houlston RS. Genome-wide association study identifies multiple susceptibility loci for multiple myeloma. Nat Commun 2016; 7:12050. [PMID: 27363682 PMCID: PMC4932178 DOI: 10.1038/ncomms12050] [Citation(s) in RCA: 125] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 05/24/2016] [Indexed: 02/08/2023] Open
Abstract
Multiple myeloma (MM) is a plasma cell malignancy with a significant heritable basis. Genome-wide association studies have transformed our understanding of MM predisposition, but individual studies have had limited power to discover risk loci. Here we perform a meta-analysis of these GWAS, add a new GWAS and perform replication analyses resulting in 9,866 cases and 239,188 controls. We confirm all nine known risk loci and discover eight new loci at 6p22.3 (rs34229995, P=1.31 × 10(-8)), 6q21 (rs9372120, P=9.09 × 10(-15)), 7q36.1 (rs7781265, P=9.71 × 10(-9)), 8q24.21 (rs1948915, P=4.20 × 10(-11)), 9p21.3 (rs2811710, P=1.72 × 10(-13)), 10p12.1 (rs2790457, P=1.77 × 10(-8)), 16q23.1 (rs7193541, P=5.00 × 10(-12)) and 20q13.13 (rs6066835, P=1.36 × 10(-13)), which localize in or near to JARID2, ATG5, SMARCD3, CCAT1, CDKN2A, WAC, RFWD3 and PREX1. These findings provide additional support for a polygenic model of MM and insight into the biological basis of tumour development.
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Affiliation(s)
- Jonathan S. Mitchell
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Ni Li
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Niels Weinhold
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
- Department of Internal Medicine V, University of Heidelberg, 69117 Heidelberg, Germany
| | - Asta Försti
- German Cancer Research Center, 69120 Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, SE-205 02 Malmo, Sweden
| | - Mina Ali
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
| | - Mark van Duin
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA Rotterdam, The Netherlands
| | | | - David C. Johnson
- Division of Molecular Pathology, The Institute of Cancer Research, Surrey SM2 5NG, UK
| | - Bowang Chen
- German Cancer Research Center, 69120 Heidelberg, Germany
| | - Britt-Marie Halvarsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
| | - Daniel F. Gudbjartsson
- deCODE Genetics, Sturlugata 8, IS-101 Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, IS-101 Reykjavik, Iceland
| | - Rowan Kuiper
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA Rotterdam, The Netherlands
| | - Owen W. Stephens
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | - Uta Bertsch
- Department of Internal Medicine V, University of Heidelberg, 69117 Heidelberg, Germany
- National Centre of Tumor Diseases, 69120 Heidelberg, Germany
| | - Peter Broderick
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Chiara Campo
- German Cancer Research Center, 69120 Heidelberg, Germany
| | | | - Walter A. Gregory
- Clinical Trials Research Unit, University of Leeds, Leeds LS2 9PH, UK
| | - Urban Gullberg
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
| | - Marc Henrion
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Jens Hillengass
- Department of Internal Medicine V, University of Heidelberg, 69117 Heidelberg, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, D-53127 Bonn, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, 4003 Basel, Switzerland
| | | | - Ellinor Johnsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
| | - Magnus Jöud
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
- Clinical Immunology and Transfusion Medicine, Laboratory Medicine, Office of Medical Services, SE-221 85 Lund, Sweden
| | - Sigurður Y. Kristinsson
- Department of Hematology, Landspitali, National University Hospital of Iceland, IS-101 Reykjavik, Iceland
| | - Stig Lenhoff
- Hematology Clinic, Skåne University Hospital, SE-221 85 Lund, Sweden
| | - Oleg Lenive
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Ulf-Henrik Mellqvist
- Section of Hematology, Sahlgrenska University Hospital, Gothenburg 413 45, Sweden
| | - Gabriele Migliorini
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Hareth Nahi
- Center for Hematology and Regenerative Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden
| | - Sven Nelander
- Rudbeck Laboratory, Department of Immunology, Pathology and Genetics, Uppsala University, SE-751 05 Uppsala, Sweden
| | - Jolanta Nickel
- Department of Internal Medicine V, University of Heidelberg, 69117 Heidelberg, Germany
| | - Markus M. Nöthen
- Institute of Human Genetics, University of Bonn, D-53127 Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, D-53127 Bonn, Germany
| | - Thorunn Rafnar
- deCODE Genetics, Sturlugata 8, IS-101 Reykjavik, Iceland
| | - Fiona M. Ross
- Wessex Regional Genetics Laboratory, University of Southampton, Salisbury SP2 8BJ, UK
| | | | - Bhairavi Swaminathan
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
| | - Hauke Thomsen
- German Cancer Research Center, 69120 Heidelberg, Germany
| | - Ingemar Turesson
- Hematology Clinic, Skåne University Hospital, SE-221 85 Lund, Sweden
| | - Annette Vangsted
- Department of Haematology, University Hospital of Copenhagen at Rigshospitalet, Blegdamsvej 9, DK-2100 Copenhagen, Denmark
| | - Ulla Vogel
- National Research Centre for the Working Environment, DK-2100 Copenhagen, Denmark
| | - Anders Waage
- Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Box 8905, N-7491 Trondheim, Norway
| | - Brian A. Walker
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | - Anna-Karin Wihlborg
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
| | - Annemiek Broyl
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA Rotterdam, The Netherlands
| | - Faith E. Davies
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | - Unnur Thorsteinsdottir
- deCODE Genetics, Sturlugata 8, IS-101 Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101 Reykjavik, Iceland
| | - Christian Langer
- Department of Internal Medicine III, University of Ulm, D-89081 Ulm, Germany
| | - Markus Hansson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
- Hematology Clinic, Skåne University Hospital, SE-221 85 Lund, Sweden
| | - Martin Kaiser
- Division of Molecular Pathology, The Institute of Cancer Research, Surrey SM2 5NG, UK
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA Rotterdam, The Netherlands
| | | | - Gareth J. Morgan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, 69117 Heidelberg, Germany
- National Centre of Tumor Diseases, 69120 Heidelberg, Germany
| | - Kari Hemminki
- German Cancer Research Center, 69120 Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, SE-205 02 Malmo, Sweden
| | - Björn Nilsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
- Clinical Immunology and Transfusion Medicine, Laboratory Medicine, Office of Medical Services, SE-221 85 Lund, Sweden
- Broad Institute, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA
| | - Richard S. Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
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Johnson N, De Ieso P, Migliorini G, Orr N, Broderick P, Catovsky D, Matakidou A, Eisen T, Goldsmith C, Dudbridge F, Peto J, dos-Santos-Silva I, Ashworth A, Ross G, Houlston RS, Fletcher O. Cytochrome P450 Allele CYP3A7*1C Associates with Adverse Outcomes in Chronic Lymphocytic Leukemia, Breast, and Lung Cancer. Cancer Res 2016; 76:1485-1493. [PMID: 26964624 PMCID: PMC4795533 DOI: 10.1158/0008-5472.can-15-1410] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [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] [Indexed: 12/11/2022]
Abstract
CYP3A enzymes metabolize endogenous hormones and chemotherapeutic agents used to treat cancer, thereby potentially affecting drug effectiveness. Here, we refined the genetic basis underlying the functional effects of a CYP3A haplotype on urinary estrone glucuronide (E1G) levels and tested for an association between CYP3A genotype and outcome in patients with chronic lymphocytic leukemia (CLL), breast, or lung cancers. The most significantly associated SNP was rs45446698, an SNP that tags the CYP3A7*1C allele; this SNP was associated with a 54% decrease in urinary E1G levels. Genotyping this SNP in 1,008 breast cancer, 1,128 lung cancer, and 347 CLL patients, we found that rs45446698 was associated with breast cancer mortality (HR, 1.74; P = 0.03), all-cause mortality in lung cancer patients (HR, 1.43; P = 0.009), and CLL progression (HR, 1.62; P = 0.03). We also found borderline evidence of a statistical interaction between the CYP3A7*1C allele, treatment of patients with a cytotoxic agent that is a CYP3A substrate, and clinical outcome (Pinteraction = 0.06). The CYP3A7*1C allele, which results in adult expression of the fetal CYP3A7 gene, is likely to be the functional allele influencing levels of circulating endogenous sex hormones and outcome in these various malignancies. Further studies confirming these associations and determining the mechanism by which CYP3A7*1C influences outcome are required. One possibility is that standard chemotherapy regimens that include CYP3A substrates may not be optimal for the approximately 8% of cancer patients who are CYP3A7*1C carriers.
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Affiliation(s)
- Nichola Johnson
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK and Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | | | - Gabriele Migliorini
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Nick Orr
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK and Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Peter Broderick
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Daniel Catovsky
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Athena Matakidou
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge, UK
| | - Timothy Eisen
- Department of Oncology, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge, UK
- Addenbrooke’s Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - Christy Goldsmith
- Imperial College, London, UK and The Harley Street Clinic, London, UK
| | - Frank Dudbridge
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Julian Peto
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Isabel dos-Santos-Silva
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Alan Ashworth
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK and Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Gillian Ross
- The Royal Marsden NHS Foundation Trust, Fulham Road, London UK
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Olivia Fletcher
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK and Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
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Jäger R, Migliorini G, Henrion M, Kandaswamy R, Speedy HE, Heindl A, Whiffin N, Carnicer MJ, Broome L, Dryden N, Nagano T, Schoenfelder S, Enge M, Yuan Y, Taipale J, Fraser P, Fletcher O, Houlston RS. Capture Hi-C identifies the chromatin interactome of colorectal cancer risk loci. Nat Commun 2015; 6:6178. [PMID: 25695508 PMCID: PMC4346635 DOI: 10.1038/ncomms7178] [Citation(s) in RCA: 145] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2014] [Accepted: 12/30/2014] [Indexed: 12/25/2022] Open
Abstract
Multiple regulatory elements distant from their targets on the linear genome can influence the expression of a single gene through chromatin looping. Chromosome conformation capture implemented in Hi-C allows for genome-wide agnostic characterization of chromatin contacts. However, detection of functional enhancer-promoter interactions is precluded by its effective resolution that is determined by both restriction fragmentation and sensitivity of the experiment. Here we develop a capture Hi-C (cHi-C) approach to allow an agnostic characterization of these physical interactions on a genome-wide scale. Single-nucleotide polymorphisms associated with complex diseases often reside within regulatory elements and exert effects through long-range regulation of gene expression. Applying this cHi-C approach to 14 colorectal cancer risk loci allows us to identify key long-range chromatin interactions in cis and trans involving these loci.
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Affiliation(s)
- Roland Jäger
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Gabriele Migliorini
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Marc Henrion
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Radhika Kandaswamy
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Helen E. Speedy
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Andreas Heindl
- Division of Molecular Pathology, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Nicola Whiffin
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Maria J. Carnicer
- Division of Molecular Pathology, Haemato-Oncology Research Unit, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Laura Broome
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London SW3 6JB, UK
| | - Nicola Dryden
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London SW3 6JB, UK
| | - Takashi Nagano
- Nuclear Dynamics Programme, The Babraham Institute, Cambridge CB22 3AT, UK
| | | | - Martin Enge
- Department of Biosciences and Nutrition, Science for Life Laboratory, Karolinska Institutet, 14 183, Huddinge, Sweden
| | - Yinyin Yuan
- Division of Molecular Pathology, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Jussi Taipale
- Department of Biosciences and Nutrition, Science for Life Laboratory, Karolinska Institutet, 14 183, Huddinge, Sweden
| | - Peter Fraser
- Nuclear Dynamics Programme, The Babraham Institute, Cambridge CB22 3AT, UK
| | - Olivia Fletcher
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London SW3 6JB, UK
| | - Richard S. Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
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Jäger R, Migliorini G, Henrion M, Whiffin N, Broome L, Dryden N, Nagano T, Schoenfelder S, Fraser P, Fletcher O, Houlston R. Abstract 407: Targeted Hi-C and integrative analyses reveal functionality of colorectal cancer risk loci. Cancer Res 2014. [DOI: 10.1158/1538-7445.am2014-407] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Genetic risk factors identified by genome-wide association studies (GWAS) are thought to function through allele-specific regulation of gene expression. Long-range chromatin looping interactions, as revealed by chromosome conformation capture (3C)-based techniques, bring risk variants into spatial proximity with loci otherwise distal on the linear genome. Hi-C, using next generation sequencing (NGS), allows for genome-wide agnostic characterization of chromatin contacts, however, detection of functional enhancer-promoter interactions is precluded by its limited resolution. Here we apply Targeted Hi-C, a novel technique combining the unbiased coverage of Hi-C with target sequence capture to identify functional chromatin interactions for 15 colorectal cancer risk loci at high resolution. We depicted the CRC risk interactome as a set of generic highly significant genome-wide interactions, predominantly overlaying the strongest risk association signals. Integrative analyses involving profiles for epigenetic marks, evolutionary conservation and transcription factor binding, revealed regulatory function of long-range chromatin interactions. At the 8q24.21 risk locus, we could extend a previously reported contact between rs6983267 and the MYC promoter to a network of interactions involving CCAT1 (colorectal cancer associated transcript 1). At other risk loci, our data supports the central role of TERC, BMP4, GREM1, BMP2, SMAD7 and in CRC pathogenesis. Additionally, distal to the risk loci we identified contacts with the genes such as TRPS1, TPO, ETS1, VEZT and RAN, previously implicated in cancer and mutated in CRC. Our results demonstrate the capability of high resolution chromatin interaction analyses in conjunction with combinatorial integrative analyses to decipher disease risk loci.
Citation Format: Roland Jäger, Gabriele Migliorini, Marc Henrion, Nicola Whiffin, Laura Broome, Nicola Dryden, Takashi Nagano, Stefan Schoenfelder, Peter Fraser, Olivia Fletcher, Richard Houlston. Targeted Hi-C and integrative analyses reveal functionality of colorectal cancer risk loci. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 407. doi:10.1158/1538-7445.AM2014-407
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Affiliation(s)
- Roland Jäger
- 1Institute of Cancer Research, Sutton, United Kingdom
| | | | - Marc Henrion
- 1Institute of Cancer Research, Sutton, United Kingdom
| | | | - Laura Broome
- 2Institute of Cancer Research, London, United Kingdom
| | - Nicola Dryden
- 2Institute of Cancer Research, London, United Kingdom
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Scales M, Jäger R, Migliorini G, Houlston RS, Henrion MYR. visPIG--a web tool for producing multi-region, multi-track, multi-scale plots of genetic data. PLoS One 2014; 9:e107497. [PMID: 25208325 PMCID: PMC4160258 DOI: 10.1371/journal.pone.0107497] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Accepted: 08/12/2014] [Indexed: 01/11/2023] Open
Abstract
We present VISual Plotting Interface for Genetics (visPIG; http://vispig.icr.ac.uk), a web application to produce multi-track, multi-scale, multi-region plots of genetic data. visPIG has been designed to allow users not well versed with mathematical software packages and/or programming languages such as R, Matlab®, Python, etc., to integrate data from multiple sources for interpretation and to easily create publication-ready figures. While web tools such as the UCSC Genome Browser or the WashU Epigenome Browser allow custom data uploads, such tools are primarily designed for data exploration. This is also true for the desktop-run Integrative Genomics Viewer (IGV). Other locally run data visualisation software such as Circos require significant computer skills of the user. The visPIG web application is a menu-based interface that allows users to upload custom data tracks and set track-specific parameters. Figures can be downloaded as PDF or PNG files. For sensitive data, the underlying R code can also be downloaded and run locally. visPIG is multi-track: it can display many different data types (e.g association, functional annotation, intensity, interaction, heat map data,…). It also allows annotation of genes and other custom features in the plotted region(s). Data tracks can be plotted individually or on a single figure. visPIG is multi-region: it supports plotting multiple regions, be they kilo- or megabases apart or even on different chromosomes. Finally, visPIG is multi-scale: a sub-region of particular interest can be 'zoomed' in. We describe the various features of visPIG and illustrate its utility with examples. visPIG is freely available through http://vispig.icr.ac.uk under a GNU General Public License (GPLv3).
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Affiliation(s)
- Matthew Scales
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Surrey, United Kingdom
- Department of Mathematics, Imperial College London, London, United Kingdom
| | - Roland Jäger
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Surrey, United Kingdom
| | - Gabriele Migliorini
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Surrey, United Kingdom
| | - Richard S. Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Surrey, United Kingdom
| | - Marc Y. R. Henrion
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Surrey, United Kingdom
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11
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Migliorini G, Fiege B, Hosking FJ, Ma Y, Kumar R, Sherborne AL, da Silva Filho MI, Vijayakrishnan J, Koehler R, Thomsen H, Irving JA, Allan JM, Lightfoot T, Roman E, Kinsey SE, Sheridan E, Thompson P, Hoffmann P, Nöthen MM, Mühleisen TW, Eisele L, Zimmermann M, Bartram CR, Schrappe M, Greaves M, Stanulla M, Hemminki K, Houlston RS. Variation at 10p12.2 and 10p14 influences risk of childhood B-cell acute lymphoblastic leukemia and phenotype. Blood 2013; 122:3298-307. [PMID: 23996088 DOI: 10.1182/blood-2013-03-491316] [Citation(s) in RCA: 118] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Acute lymphoblastic leukemia (ALL) is the major pediatric cancer diagnosed in economically developed countries with B-cell precursor (BCP)-ALL, accounting for approximately 70% of ALL. Recent genome-wide association studies (GWAS) have provided the first unambiguous evidence for common inherited susceptibility to BCP-ALL, identifying susceptibility loci at 7p12.2, 9p21.3, 10q21.2, and 14q11.2. To identify additional BCP-ALL susceptibility loci, we conducted a GWAS and performed a meta-analysis with a published GWAS totaling 1658 cases and 4723 controls, with validation in 1449 cases and 1488 controls. Combined analysis identified novel loci mapping to 10p12.2 (rs10828317, odds ratio [OR] = 1.23; P = 2.30 × 10(-9)) and 10p14 marked by rs3824662 (OR = 1.31; P = 8.62 × 10(-12)). The single nucleotide polymorphism rs10828317 is responsible for the N215S polymorphism in exon 7 of PIP4K2A, and rs3824662 localizes to intron 3 of the transcription factor and putative tumor suppressor gene GATA3. The rs10828317 association was shown to be specifically associated with hyperdiploid ALL, whereas the rs3824662-associated risk was confined to nonhyperdiploid non-TEL-AML1 + ALL. The risk allele of rs3824662 was correlated with older age at diagnosis (P < .001) and significantly worse event-free survivorship (P < .0001). These findings provide further insights into the genetic and biological basis of inherited genetic susceptibility to BCP-ALL and the influence of constitutional genotype on disease development.
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Affiliation(s)
- Gabriele Migliorini
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, United Kingdom
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12
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Affiliation(s)
- Gabriele Migliorini
- Department of Mathematics and Statistics, University of Reading, Whiteknights, Reading RG6 6AX, United Kingdom
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13
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Fiscon V, Portale G, Frigo F, Migliorini G. Laparoscopic resection of colorectal cancer: matched comparison in elderly and younger patients. Tech Coloproctol 2010; 14:323-7. [PMID: 20706759 DOI: 10.1007/s10151-010-0635-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2009] [Accepted: 07/15/2010] [Indexed: 12/20/2022]
Abstract
BACKGROUND Several studies have addressed the issue of the feasibility of laparoscopic colorectal surgery in elderly patients, usually by choosing an arbitrary cut-off age limit, and retrospectively evaluating patient outcomes. The aim of this study was to assess the effects of age on the outcome of laparoscopic colorectal surgery for cancer in a single department, by comparing younger and older patients, matched by ASA score and type of operation. METHODS The perioperative outcome of patients ≥75 years old who underwent laparoscopic colorectal surgery for cancer between June 2005 and January 2009 were compared with findings in younger patients, matched by ASA score and type of operation. RESULTS The study included 100 patients, fifty <75 years old (Group A) and fifty ≥75 (Group B) years old. There were 18 right hemicolectomies, 16 left hemicolectomies, 4 anterior resections, 9 low anterior resections, 2 Miles' operations and 1 segmental resection in each group. We observed a significantly higher overall morbidity rate among elderly patients than among younger patients (24 vs. 8%). CONCLUSIONS Short-term results after laparoscopic colorectal surgery for cancer in patients ≥75 years old reveal that they have higher postoperative risk compared to their younger counterparts, even when matched by ASA score and type of operation. It suggests that although advanced age, per se, is not a contraindication, it is a risk for patients who undergo laparoscopic colorectal surgery for cancer. This surgery in elderly patients should be performed by experienced surgeons in specialized centers to keep postoperative risk to a minimum.
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Affiliation(s)
- V Fiscon
- Department of General Surgery, Azienda ULSS 15 'Alta Padovana', Via Riva Dell' Ospedale, 1, 35013, Cittadella, Padova, Italy.
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14
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Migliorini G, Saad D. Finite-connectivity spin-glass phase diagrams and low-density parity check codes. Phys Rev E Stat Nonlin Soft Matter Phys 2006; 73:026122. [PMID: 16605413 DOI: 10.1103/physreve.73.026122] [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: 07/20/2005] [Indexed: 05/08/2023]
Abstract
We obtain phase diagrams of regular and irregular finite-connectivity spin glasses. Contact is first established between properties of the phase diagram and the performance of low-density parity check (LDPC) codes within the replica symmetric (RS) ansatz. We then study the location of the dynamical and critical transition points of these systems within the one step replica symmetry breaking theory (RSB), extending similar calculations that have been performed in the past for the Bethe spin-glass problem. We observe that the location of the dynamical transition line does change within the RSB theory, in comparison with the results obtained in the RS case. For LDPC decoding of messages transmitted over the binary erasure channel we find, at zero temperature and rate , an RS critical transition point at while the critical RSB transition point is located at , to be compared with the corresponding Shannon bound . For the binary symmetric channel we show that the low temperature reentrant behavior of the dynamical transition line, observed within the RS ansatz, changes its location when the RSB ansatz is employed; the dynamical transition point occurs at higher values of the channel noise. Possible practical implications to improve the performance of the state-of-the-art error correcting codes are discussed.
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Affiliation(s)
- Gabriele Migliorini
- The Neural Computing Research Group, School of Engineering and Applied Sciences, Aston University, Birmingham B4 7ET, United Kingdom
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15
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Rostiashvili VG, Migliorini G, Vilgis TA. Self-generated disorder and structural glass formation in homopolymer globules. Phys Rev E Stat Nonlin Soft Matter Phys 2001; 64:051112. [PMID: 11735905 DOI: 10.1103/physreve.64.051112] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2001] [Indexed: 05/23/2023]
Abstract
We have investigated the interrelation between spin glasses and structural glasses. Spin glasses in this case are p-spin interaction spin glasses (at p>2) or Potts glasses that contain quenched disorder, whereas the structural glasses are here exemplified by a homopolymeric globule, which can be viewed as a liquid of connected units on a nanoscale. It is argued that the homopolymeric globule problem can be mapped onto a disorder field theoretical model whose effective Hamiltonian resembles the corresponding one for the spin glass model. In this sense the disorder in the globule is self-generated (in contrast to spin glasses) and can be related to competing interactions (virial coefficients of different signs) and the chain connectivity. The work is aimed at giving a quantitative description of this analogy. We have investigated in the mean-field approximation the phase diagram of the homopolymeric globule where the transition line from the liquid to glassy globule is treated in terms of the replica symmetry breaking paradigm. The configurational entropy temperature dependence is also discussed.
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Affiliation(s)
- V G Rostiashvili
- Max Planck Institute for Polymer Research, 10 Ackermannweg, 55128 Mainz, Germany
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16
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17
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Tabrizi SN, Chen S, Borg AJ, Lees MI, Fairley CK, Jackson HD, Gust CH, Migliorini G, Garland SM. Patient-administered tampon-collected genital cells in the assessment of Chlamydia trachomatis infection using polymerase chain reaction. Sex Transm Dis 1996; 23:494-7. [PMID: 8946635 DOI: 10.1097/00007435-199611000-00010] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND Diagnosis of genital Chlamydia trachomatis infection in women traditionally requires a speculum examination to collect endocervical cells, followed by cell culture. This method is time consuming, requires stringent transport conditions, and is technically demanding. GOALS To compare tampons as a patient-administered collection method followed by detection with polymerase chain reaction (PCR) with the traditional endocervical swab culture followed by cell culture detection. STUDY DESIGN At the emergency department of a hospital for obstetrics and gynecology, 1,000 consecutive women with symptoms suggestive of infection with C. trachomatis were tested for C. trachomatis infection by PCR on both tampon (PCR-T) and swab (PCR-S) specimen and by culture of the swab specimen. RESULTS Seventeen PCR-T and 16 PCR-S specimens were positive; 16 endocervical specimens were positive by culture, and 14 of the endocervical samples were positive by the three methods. Sixty-one PCR-S samples were inadequate as shown by the lack of amplification of the beta-globin gene segment, indicating poor collection of specimens by endocervical swab for chlamydial testing. CONCLUSIONS Tampon specimens collected for PCR detection provided an easy and sensitive method of detection of C. trachomatis and overcame the obstacle of endocervical sampling and subsequent stringent transport requirements of culture.
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Affiliation(s)
- S N Tabrizi
- Department of Microbiology, Royal Women's Hospital, Carlton, Victoria, Australia
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18
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Migliorini G, Lazzarin E. [Acute psychosis. Clinical contribution]. Minerva Psichiatr 1993; 34:231-8. [PMID: 8133725] [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: 01/29/2023]
Abstract
In a vast survey of clinical cases Authors have considered 50 specific cases of acute psychosis corresponding to the following criteria: first stage, lack of organic and caused by drugs disorders, lack of visible affective symptoms. Different social and personal situations have been considered as well as the initial symptoms and the characteristics of the clinical picture. These variations have been correlated to the result and the course of the illness and attention has been drawn to the importance of adaptation before illness, presence of stress elements, very acute initial symptoms, oneiric characteristics of the clinical picture on the positive course. In a further diagnosis only 20 of these cases can be attributed to the schizophreniform disorder and among these 20 the majority develop with relapses, consequences and emotional damages.
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Affiliation(s)
- G Migliorini
- II Servizio Psichiatrico, ULSS n. 8 Vicenza Presidio Ospedaliero, Stabilimento di Sandrigo, Vincenza
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19
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Tabrizi S, Chen S, Fairley C, Borg A, Migliorini G, Lees M, Garland S. Tampon-collected genital cells in the detection of Chlamydia trachomatis by polymerase chain reaction. J Infect Dis 1993; 168:796-7. [PMID: 8354930 DOI: 10.1093/infdis/168.3.796] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
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20
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Lazzarin E, Migliorini G. [Study of acute psychoses. I. The problem of acute psychoses: nosographic classification]. Minerva Psichiatr 1992; 33:87-96. [PMID: 1501554] [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: 12/27/2022]
Abstract
Survey of the first admitted patients for nonorganic and nonaffective acute psychotic decompensation in an Inpatient Treatment Unit, as a part of a Mental HealthCenter, in a General Hospital. Preliminarily the Authors review the concept of "acute psychosis" from Bleuler to Leonhard, Wyrsch, Lanfeldt, the bouffées delirantes of the French literature, the schizophreniform disorder of the DSM III R. The acute psychosis is "a carrefour state" where many types of acute events come together: schizophrenic, affective, reactive. Sometimes, but rarely, acute psychosis is a nosographic unit. This unit needs further evidence.
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Affiliation(s)
- E Lazzarin
- Dipartimento di Psichiatria, Presidio Ospedaliero-Sandrigo (Vicenza), Regione Veneto-USSL n. 8
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21
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Oppezzi B, Migliorini G, Bonanno G. [Possible electrocardiographic changes caused by ergotamine and their correct interpretation]. Clin Ter 1981; 99:215-25. [PMID: 6119185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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22
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Gerli M, Migliorini G, Bocchini V, Venti G, Ferrarese R, Donti E, Rosi G. A case of complete testicular feminisation and 47,XXY karyotype. J Med Genet 1979; 16:480-3. [PMID: 575389 PMCID: PMC1012597 DOI: 10.1136/jmg.16.6.480] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
A very rare case of complete testicular feminisation with a 47,XXY sex chromosome complement is described. The X-chromatin is positive. The subject studied, who belongs to a family in which four other members have Morris's syndrome and have a 46,XY karyotype, is a perfect phenotypic female. The endocrine situation is unique and resembles, in part, that of subjects with Klinefelter's syndrome.
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23
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Ferrarese R, Rosi G, Donti E, Venti G, Bocchini V, Migliorini G. [Karyotype 47,XXY in a subject with complete testicular feminization]. Pathologica 1979; 71:388-9. [PMID: 548887] [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: 12/23/2022] Open
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24
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Bocchini V, Venti G, Ferrarese R, Migliorini G, Donti E, Armellini R, Rosi G. Yq--in a family with several cases of complete testicular feminization. Riv Biol 1979; 72:39-47. [PMID: 553288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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25
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Migliorini G, Solaro F, Boccardo G, Carbone R. [Action of nitrates in the functional diagnosis of peripheral circulation]. Arch Maragliano Patol Clin 1968; 24:9-24. [PMID: 4986037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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26
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Migliorini G, Solaro F, Lilli V. [Precordial bipolar leads in the diagnosis of coronary disease: "precordial III" and "P 2-8"]. Arch Maragliano Patol Clin 1966; 22:155-65. [PMID: 5952350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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27
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Migliorini G, Solaro F, Lilli V. [Utility of certain sternal and abdominal electrocardiographic leads in the diagnosis of coronaro-myocardial lesions]. Arch Maragliano Patol Clin 1965; 21:755-64. [PMID: 5898817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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28
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Migliorini G, Solaro F. [Considerations on the electrocardiographic characteristics of very old persons]. Arch Maragliano Patol Clin 1965; 21:559-74. [PMID: 5898374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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