IL-22 Binding Protein Promotes the Disease Process in Multiple Sclerosis Hannes Lindahl, André O
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Limited Presence of IL-22 Binding Protein, a Natural IL-22 Inhibitor, Strengthens Psoriatic Skin Inflammation
Limited Presence of IL-22 Binding Protein, a Natural IL-22 Inhibitor, Strengthens Psoriatic Skin Inflammation This information is current as Jérôme C. Martin, Kerstin Wolk, Gaëlle Bériou, Ahmed of September 25, 2021. Abidi, Ellen Witte-Händel, Cédric Louvet, Georgios Kokolakis, Lucile Drujont, Laure Dumoutier, Jean-Christophe Renauld, Robert Sabat and Régis Josien J Immunol 2017; 198:3671-3678; Prepublished online 29 March 2017; Downloaded from doi: 10.4049/jimmunol.1700021 http://www.jimmunol.org/content/198/9/3671 References This article cites 47 articles, 12 of which you can access for free at: http://www.jimmunol.org/ http://www.jimmunol.org/content/198/9/3671.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on September 25, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2017 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Limited Presence of IL-22 Binding Protein, a Natural IL-22 Inhibitor, Strengthens Psoriatic Skin Inflammation Je´roˆme C. -
Supplementary Material
Coagulation & Its Disorders SUPPLEMENTARY APPENDIX Dexamethasone promotes durable factor VIII-specific tolerance in hemophilia A mice via thymic mechanisms Maria T. Georgescu, 1 Paul C. Moorehead, 2,3 Alice S. van Velzen, 4 Kate Nesbitt, 1 Birgit M. Reipert, 5 Katharina N. Steinitz, 5 Maria Schuster, 5 Christine Hough 1 and David Lillicrap 1 1Department of Pathology and Molecular Medicine, Queen’s University, Kingston, ON, Canada; 2Janeway Children’s Health and Reha - bilitation Centre, St. John’s, NL, Canada; 3Faculty of Medicine, Memorial University, St. John’s, NL, Canada; 4Department of Pediatric Hematology, Immunology and Infectious Diseases, Emma Children’s Hospital, Amsterdam, the Netherlands and 5Baxalta Innovations GmbH, Vienna, Austria ©2018 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2018.189852 Received: January 30, 2018. Accepted: April 19, 2018. Pre-published: April 19, 2018. Correspondence: [email protected] Supplementary Material 100 80 60 40 20 Anti-VWF IgG Positive IgG Mice (%)Anti-VWF 0 FVIII/FVIII FVIII+Dex/FVIII FVIII+Dex/intFVIII+FVIII n=4 n=13 n=12 Figure S1. Administration of Dex during initial FVIII exposure does not impair the immune response to VWF. Anti-VWF IgG incidence at week 22, following exposure to VWF (Week 18-21) in mice initially treated with FVIII or FVIII+Dex and with no evidence of anti-FVIII IgG at week 4. Table S1. Genes down-regulated following FVIII+Dex treatment. Transcript Count Ratio Gene Name FVIII+Dex vs FVIII Dex vs HBSS Ccr4 -5.82 -14.45 Rag1 -4.18 -16.00 Cd69 -3.51 -4.40 Ccr9 -3.46 -9.90 Slamf1 -3.20 -6.50 Cd8b1 -3.18 -7.77 Cd40lg -2.99 -2.56 Cxcl1 -2.90 -2.37 Rag2 -2.84 -9.21 Rorc -2.78 -5.65 Cd8a -2.67 -7.74 Cd4 -2.66 -5.06 Il9 -2.64 -2.26 Il12b -2.60 -2.49 Bcl6 -2.59 -3.30 Il27 -2.54 -3.06 Mr1 -2.48 -3.26 Sh2d1a -2.39 -6.68 Il13 -2.23 -2.38 Ccl22 -2.22 -2.51 Il16 -2.22 -3.05 Socs1 -2.20 -4.55 Card9 -2.12 -3.32 Cxcr4 -2.12 -3.98 Tcf7 -2.12 -5.16 Lck -2.06 -4.47 Icam2 -2.02 -3.09 Table S2. -
System, Method and Software for Calculation of a Cannabis Drug Efficiency Index for the Reduction of Inflammation
International Journal of Molecular Sciences Article System, Method and Software for Calculation of a Cannabis Drug Efficiency Index for the Reduction of Inflammation Nicolas Borisov 1,† , Yaroslav Ilnytskyy 2,3,†, Boseon Byeon 2,3,4,†, Olga Kovalchuk 2,3 and Igor Kovalchuk 2,3,* 1 Moscow Institute of Physics and Technology, 9 Institutsky lane, Dolgoprudny, Moscow Region 141701, Russia; [email protected] 2 Department of Biological Sciences, University of Lethbridge, Lethbridge, AB T1K 3M4, Canada; [email protected] (Y.I.); [email protected] (B.B.); [email protected] (O.K.) 3 Pathway Rx., 16 Sandstone Rd. S., Lethbridge, AB T1K 7X8, Canada 4 Biomedical and Health Informatics, Computer Science Department, State University of New York, 2 S Clinton St, Syracuse, NY 13202, USA * Correspondence: [email protected] † First three authors contributed equally to this research. Abstract: There are many varieties of Cannabis sativa that differ from each other by composition of cannabinoids, terpenes and other molecules. The medicinal properties of these cultivars are often very different, with some being more efficient than others. This report describes the development of a method and software for the analysis of the efficiency of various cannabis extracts to detect the anti-inflammatory properties of the various cannabis extracts. The method uses high-throughput gene expression profiling data but can potentially use other omics data as well. According to the signaling pathway topology, the gene expression profiles are convoluted into the signaling pathway activities using a signaling pathway impact analysis (SPIA) method. The method was tested by inducing inflammation in human 3D epithelial tissues, including intestine, oral and skin, and then exposing these tissues to various extracts and then performing transcriptome analysis. -
The Interleukin 22 Pathway Interacts with Mutant KRAS to Promote Poor Prognosis in Colon Cancer
Author Manuscript Published OnlineFirst on May 19, 2020; DOI: 10.1158/1078-0432.CCR-19-1086 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. The interleukin 22 pathway interacts with mutant KRAS to promote poor prognosis in colon cancer Authors: Sarah McCuaig1, David Barras,2, Elizabeth Mann1, Matthias Friedrich1, Samuel Bullers1, Alina Janney1, Lucy C. Garner1, Enric Domingo3, Viktor Hendrik Koelzer3,4,5, Mauro Delorenzi2,6,7, Sabine Tejpar8, Timothy Maughan9, Nathaniel R. West1, Fiona Powrie1 Affiliations: 1 Kennedy Institute of Rheumatology, University of Oxford, Oxford UK. 2 SIB Swiss Institute of Bioinformatics, Bioinformatics Core Facility, Lausanne, Switzerland. 3Department of Oncology, University of Oxford, Oxford UK. 4Nuffield Department of Medicine, University of Oxford, Oxford UK. 5Department of Pathology and Molecular Pathology, University and University Hospital Zurich, Zurich Switzerland. 6 Ludwig Center for Cancer Research, University of Lausanne, Lausanne, Switzerland. 7 Department of Oncology, Faculty of Biology and Medicine, University of Lausanne, Lausanne Switzerland. 8 Molecular Digestive Oncology, KU Leuven, Belgium. 9 CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, UK. Downloaded from clincancerres.aacrjournals.org on September 26, 2021. © 2020 American Association for Cancer Research. Author Manuscript Published OnlineFirst on May 19, 2020; DOI: 10.1158/1078-0432.CCR-19-1086 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Correspondence to: Professor Fiona Powrie; Kennedy Institute of Rheumatology, University of Oxford, Roosevelt Drive, Headington, Oxford, OX3 7YF, UK. Email: [email protected] Conflicts of Interest: S.M., N.R.W., and F.P. -
Igs Cells Recognize Bacteria with Polyreactive Memory B +Iga
Circulating Human CD27−IgA+ Memory B Cells Recognize Bacteria with Polyreactive Igs This information is current as Magdalena A. Berkowska, Jean-Nicolas Schickel, Christina of October 2, 2021. Grosserichter-Wagener, Dick de Ridder, Yen Shing Ng, Jacques J. M. van Dongen, Eric Meffre and Menno C. van Zelm J Immunol 2015; 195:1417-1426; Prepublished online 6 July 2015; doi: 10.4049/jimmunol.1402708 Downloaded from http://www.jimmunol.org/content/195/4/1417 Supplementary http://www.jimmunol.org/content/suppl/2015/07/03/jimmunol.140270 http://www.jimmunol.org/ Material 8.DCSupplemental References This article cites 57 articles, 31 of which you can access for free at: http://www.jimmunol.org/content/195/4/1417.full#ref-list-1 Why The JI? Submit online. by guest on October 2, 2021 • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2015 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Circulating Human CD272IgA+ Memory B Cells Recognize Bacteria with Polyreactive Igs Magdalena A. -
Low Interleukin-22 Binding Protein Is Associated with High Mortality In
ARTICLE 1 Low Interleukin-22 Binding Protein Is Associated With High Mortality in Alcoholic Hepatitis and Modulates LIVER Interleukin-22 Receptor Expression 08/26/2020 on BhDMf5ePHKav1zEoum1tQfN4a+kJLhEZgbsIHo4XMi0hCywCX1AWnYQp/IlQrHD3PE2KhmxLsUKwRUb9LEtaRQ9wXW4bkT7EyguzqSnjJYw= by https://journals.lww.com/ctg from Downloaded Sidsel Støy, MD, PhD1, Tea Lund Laursen, MD1, Emilie Glavind, MD, PhD1, Peter Lykke Eriksen, MD, PhD1, Ewa Terczynska-Dyla, PhD2, Downloaded Nils Erik Magnusson, PhD3, Stephen Hamilton-Dutoit, MD, PhD4, Frank Viborg Mortensen, MD, PhD5, Sanne Skovgård Veidal, PhD6, Kristoffer Rigbolt, PhD6, Oliviero Riggio, MD, PhD7, Bent Deleuran, MD, DMSc8, Hendrik Vilstrup, MD, DSc1 and from Thomas Damgaard. Sandahl, MD, PhD1 https://journals.lww.com/ctg INTRODUCTION: In alcoholic hepatitis (AH), high interleukin (IL)-22 production is associated with disease improvement, purportedly through enhanced infection resistance and liver regeneration. IL-22 binding protein (BP) by binds and antagonizes IL-22 bioactivity, but data on IL-22BP in liver disease suggest a complex BhDMf5ePHKav1zEoum1tQfN4a+kJLhEZgbsIHo4XMi0hCywCX1AWnYQp/IlQrHD3PE2KhmxLsUKwRUb9LEtaRQ9wXW4bkT7EyguzqSnjJYw= interplay. Despite the scarcity of human data, IL-22 is in clinical trial as treatment of AH. We, therefore, in patients with AH, described the IL-22 system focusing on IL-22BP and associations with disease course, and mechanistically pursued the human associations in vitro. METHODS: We prospectively studied 41 consecutive patients with AH at diagnosis, days 7 and 90, and followed them for up to 1 year. We measured IL-22 pathway proteins in liver biopsies and blood and investigated IL-22BP effects on IL-22 in hepatocyte cultures. RESULTS: IL-22BP was produced in the gut and was identifiable in the patients with AH’ livers. -
1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A -
Downloaded Genes (Degs) in Ileum and Lung of Chicken Infected with H5N1 and from "Japanese Quail (Coturnix Japonica) Genome Se- H5N2
Cao et al. BMC Medical Genomics 2017, 10(Suppl 4):70 DOI 10.1186/s12920-017-0304-z RESEARCH Open Access Differential responses of innate immunity triggered by different subtypes of influenza a viruses in human and avian hosts Yingying Cao1, Yaowei Huang1,KeXu1, Yuanhua Liu1, Xuan Li2,YeXu3*, Wu Zhong4* and Pei Hao1* From 16th International Conference on Bioinformatics (InCoB 2017) Shenzhen, China. 20-22 September 2017 Abstract Background: Innate immunity provides first line of defense against viral infections. The interactions between hosts and influenza A virus and the response of host innate immunity to viral infection are critical determinants for the pathogenicity or virulence of influenza A viruses. This study was designed to investigate global changes of gene expression and detailed responses of innate immune systems in human and avian hosts during the course of infection with various subtypes of influenza A viruses, using collected and self-generated transcriptome sequencing data from human bronchial epithelial (HBE), human tracheobronchial epithelial (HTBE), and A549 cells infected with influenza A virus subtypes, namely H1N1, H3N2, H5N1 HALo mutant, and H7N9, and from ileum and lung of chicken and quail infected with H5N1, or H5N2. Results: We examined the induction of various cytokines and chemokines in human hosts infected with different subtypes of influenza A viruses. Type I and III interferons were found to be differentially induced with each subtype. H3N2 caused abrupt and the strongest response of IFN-β and IFN-λ, followed by H1N1 (though much weaker), whereas H5N1 HALo mutant and H7N9 induced very minor change in expression of type I and III interferons. -
Wound-Healing Markers Revealed by Proximity Extension Assay in Tears of Patients Following Glaucoma Surgery
International Journal of Molecular Sciences Article Wound-Healing Markers Revealed by Proximity Extension Assay in Tears of Patients following Glaucoma Surgery Éva Cs˝osz 1,2,* , Noémi Tóth 3, Eszter Deák 1,3, Adrienne Csutak 3,† and József T˝ozsér 1,2,† 1 Biomarker Research Group, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem ter 1., 4032 Debrecen, Hungary; [email protected] (E.D.); [email protected] (J.T.) 2 Proteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem ter 1., 4032 Debrecen, Hungary 3 Department of Ophthalmology, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98., 4032 Debrecen, Hungary; [email protected] (N.T.); [email protected] (A.C.) * Correspondence: [email protected]; Tel.: +36-52-416-432 † These authors contributed equally to this work. Received: 15 October 2018; Accepted: 11 December 2018; Published: 18 December 2018 Abstract: Tears are a constantly available and highly valuable body fluid collectable by non-invasive techniques. Although it can give information on ocular status and be used for follow-ups, tear analysis is challenging due to the low amount of sample that is available. Proximity extension assay (PEA) allows for a sensitive and scalable analysis of multiple proteins in a single run from a one-µL sample, so we applied this technique and examined the amount of 184 proteins in tears collected at different time points after trabeculectomy. The success rate of this surgical intervention highly depends on proper wound healing; therefore, information on the process is indispensable. -
Xo GENE PANEL
xO GENE PANEL Targeted panel of 1714 genes | Tumor DNA Coverage: 500x | RNA reads: 50 million Onco-seq panel includes clinically relevant genes and a wide array of biologically relevant genes Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................ -
THESIS for DOCTORAL DEGREE (Ph.D.)
From DEPARTMENT OF CLINICAL NEUROSCIENCE Karolinska Institutet, Stockholm, Sweden GENETIC LANDSCAPE OF MULTIPLE SCLEROSIS SUSCEPTIBILITY BY LEVERAGING MULTI-OMICS DATA Tojo James Stockholm 2018 All previously published papers were reproduced with permission from the publisher. Published by Karolinska Institutet. Printed by Eprint AB 2018 © Tojo James, 2018 ISBN 978-91-7831-181-1 Genetic landscape of multiple sclerosis susceptibility by leveraging multi-omics data THESIS FOR DOCTORAL DEGREE (Ph.D.) By Tojo James Principal Supervisor: Opponent: Professor Ingrid Kockum Dr. Calliope Dendrou Karolinska Institutet University of Oxford Department of Clinical Neuroscience Nuffield Department of Medicine Division of Wellcome Trust Centre for Human Co-supervisor(s): Genetics Dr. David Gomez-Cabrero Karolinska Institutet Examination Board: Department of Medicine Associate Professor Carsten Daub Karolinska Institutet Associate Professor Maja Jagodic Department of Biosciences and Nutrition Karolinska Institutet Department of Clinical Neuroscience Professor Ann-Christine Syvänen Uppsala Universitet Professor Tomas Olsson Department of Medical Sciences, Molecular Karolinska Institutet Medicine Department of Clinical Neuroscience Dr. Sven Nelander Uppsala Universitet Department of Immunology, Genetics and Pathology To my family ABSTRACT The main objective of the research studies presented in this thesis is to study the genetic variants and the expression of genes that relate to Multiple Sclerosis (MS). MS is a polygenic disease with HLA-DRB1*15:01 allele