Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

GWAS for systemic sclerosis identifies multiple risk loci and highlights fibrotic and vasculopathy pathways

  • European Scleroderma Group†
  • , Australian Scleroderma Interest Group (ASIG)
  • Institute of Parasitology and Biomedicine López-Neyra
  • Baylor College of Medicine
  • Stanford University
  • IRCCS Fondazione Ca'Granda – Ospedale Maggiore Policlinico - Milano
  • Universitari Vall d'Hebrón
  • Hospital 12 de Octubre
  • Hospital Universitario San Cecilio
  • Hospital de La Santa Creu I Sant Pau
  • Wellcome Sanger Institute
  • University of Granada
  • University of Manchester
  • Universität zu Köln
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Christian-Albrechts Universität zu Kiel
  • University of Verona
  • Università Politecnica delle Marche
  • Leiden University
  • Universiteit Groningen
  • Utrecht University
  • Karolinska Institutet
  • University of Oslo
  • Hospital Universitario Virgen de las Nieves
  • Hospital Universitari Virgen de la Victoria
  • Hospital Regional Universitario Carlos Haya
  • Hospital Universitario Virgen del Rocio
  • Hospital Universitario Reina Sofia
  • Universidad Autónoma de Madrid (CSIC-UAM)
  • University Hospital Puerta de Hierro
  • General University Hospital

Abstract

Systemic sclerosis (SSc) is an autoimmune disease that shows one of the highest mortality rates among rheumatic diseases. We perform a large genome-wide association study (GWAS), and meta-analysis with previous GWASs, in 26,679 individuals and identify 27 independent genome-wide associated signals, including 13 new risk loci. The novel associations nearly double the number of genome-wide hits reported for SSc thus far. We define 95% credible sets of less than 5 likely causal variants in 12 loci. Additionally, we identify specific SSc subtype-associated signals. Functional analysis of high-priority variants shows the potential function of SSc signals, with the identification of 43 robust target genes through HiChIP. Our results point towards molecular pathways potentially involved in vasculopathy and fibrosis, two main hallmarks in SSc, and highlight the spectrum of critical cell types for the disease. This work supports a better understanding of the genetic basis of SSc and provides directions for future functional experiments.

OriginalspracheEnglisch
ZeitschriftIET Communications
Jahrgang10
Ausgabenummer1
ISSN1751-8628
DOIs
PublikationsstatusVeröffentlicht - 01.12.2019

Fördermittel

We thank Sofia Vargas, Sonia García, and Gema Robledo for their excellent technical assistance and all the patients and control donors for their essential collaboration. We thank National DNA Bank Carlos III (University of Salamanca, Spain) that supplied part of the control DNA samples from Spain, WTCCC and EIRA Consortiums, and PopGen 2.0 network. This work was supported by Spanish Ministry of Economy and Competitiveness (grant ref. SAF2015-66761-P), Consejeria de Innovacion, Ciencia y Tecnologia, Junta de Andalucía (P12-BIO-1395), Ministerio de Educación, Cultura y Deporte through the program FPU, Juan de la Cierva fellowship (FJCI-2015-24028), Red de Investigación en Inflamación y Enfermadades Reumaticas (RIER) from Instituto de Salud Carlos III (RD16/0012/0013), and Scleroderma Research Foundation and NIH P50-HG007735 (to H.Y.C.). H.Y.C. is an Investigator of the Howard Hughes Medical Institute. PopGen 2.0 is supported by a grant from the German Ministry for Education and Research (01EY1103). M.D.M and S.A. are supported by grant DoD W81XWH-18-1-0423 and DoD W81XWH-16-1-0296, respectively.

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen

Strategische Forschungsbereiche und Zentren

  • Forschungsschwerpunkt: Infektion und Entzündung - Zentrum für Infektions- und Entzündungsforschung Lübeck (ZIEL)

Fingerprint

Untersuchen Sie die Forschungsthemen von „GWAS for systemic sclerosis identifies multiple risk loci and highlights fibrotic and vasculopathy pathways“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren