Genomic Risk Score impact on susceptibility to systemic sclerosis.
Adult
Aged
Antibodies, Antinuclear
/ immunology
Arthritis, Rheumatoid
/ genetics
Autoantibodies
/ immunology
Case-Control Studies
DNA Topoisomerases
/ immunology
Female
Genetic Predisposition to Disease
Genome-Wide Association Study
Humans
Linear Models
Lupus Erythematosus, Systemic
/ genetics
Male
Middle Aged
Polymorphism, Single Nucleotide
Risk Factors
Scleroderma, Diffuse
/ genetics
Scleroderma, Limited
/ genetics
Scleroderma, Systemic
/ genetics
Sjogren's Syndrome
/ genetics
White People
autoimmune diseases
immune complex diseases
scleroderma
systemic
Journal
Annals of the rheumatic diseases
ISSN: 1468-2060
Titre abrégé: Ann Rheum Dis
Pays: England
ID NLM: 0372355
Informations de publication
Date de publication:
01 2021
01 2021
Historique:
received:
08
07
2020
revised:
27
08
2020
accepted:
30
08
2020
pubmed:
3
10
2020
medline:
9
2
2021
entrez:
2
10
2020
Statut:
ppublish
Résumé
Genomic Risk Scores (GRS) successfully demonstrated the ability of genetics to identify those individuals at high risk for complex traits including immune-mediated inflammatory diseases (IMIDs). We aimed to test the performance of GRS in the prediction of risk for systemic sclerosis (SSc) for the first time. Allelic effects were obtained from the largest SSc Genome-Wide Association Study (GWAS) to date (9 095 SSc and 17 584 healthy controls with European ancestry). The best-fitting GRS was identified under the additive model in an independent cohort that comprised 400 patients with SSc and 571 controls. Additionally, GRS for clinical subtypes (limited cutaneous SSc and diffuse cutaneous SSc) and serological subtypes (anti-topoisomerase positive (ATA+) and anti-centromere positive (ACA+)) were generated. We combined the estimated GRS with demographic and immunological parameters in a multivariate generalised linear model. The best-fitting SSc GRS included 33 single nucleotide polymorphisms (SNPs) and discriminated between patients with SSc and controls (area under the receiver operating characteristic (ROC) curve (AUC)=0.673). Moreover, the GRS differentiated between SSc and other IMIDs, such as rheumatoid arthritis and Sjögren's syndrome. Finally, the combination of GRS with age and immune cell counts significantly increased the performance of the model (AUC=0.787). While the SSc GRS was not able to discriminate between ATA+ and ACA+ patients (AUC<0.5), the serological subtype GRS, which was based on the allelic effects observed for the comparison between ACA+ and ATA+ patients, reached an AUC=0.693. GRS was successfully implemented in SSc. The model discriminated between patients with SSc and controls or other IMIDs, confirming the potential of GRS to support early and differential diagnosis for SSc.
Identifiants
pubmed: 33004331
pii: annrheumdis-2020-218558
doi: 10.1136/annrheumdis-2020-218558
doi:
Substances chimiques
Antibodies, Antinuclear
0
Autoantibodies
0
anticentromere antibody
0
DNA Topoisomerases
EC 5.99.1.-
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
118-127Investigateurs
J Zochling
(J)
J Sahhar
(J)
J Roddy
(J)
P Nash
(P)
K Tymms
(K)
M Rischmueller
(M)
S Lester
(S)
Doreen Belz
(D)
Francesca Ingegnoli
(F)
Yolanda Jimenez Gómez
(YJ)
Chary Lopez Pedrera
(CL)
Rik Lories
(R)
Eduardo Collantes-Estevez
(E)
Gaia Montanelli
(G)
Silvia Piantoni
(S)
Ignasi Rodriguez Pinto
(IR)
Carlos Vasconcelos
(C)
Christophe Jamin
(C)
Concepción Marañón
(C)
Lucas Le Lann
(LL)
Quentin Simon
(Q)
Bénédicte Rouvière
(B)
Nieves Varela
(N)
Brian Muchmore
(B)
Aleksandra Dufour
(A)
Montserrat Alvarez
(M)
Jonathan Cremer
(J)
Nuria Barbarroja
(N)
Velia Gerl
(V)
Laleh Khodadadi
(L)
Qingyu Cheng
(Q)
Anne Buttgereit
(A)
Aurélie De Groof
(A)
Julie Ducreux
(J)
Elena Trombetta
(E)
Tianlu Li
(T)
Damiana Alvarez-Errico
(D)
Torsten Witte
(T)
Katja Kniesch
(K)
Nancy Azevedo
(N)
Esmeralda Neves
(E)
Nancy Azevedo
(N)
Esmeralda Neves
(E)
Sambasiva Rao
(S)
Pierre-Emmanuel Jouve
(PE)
Informations de copyright
© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: LB-C: none; GV-M: none; MK: none; MA-H: none; ELI: none; International SSc Group: none; PRECISESADS Consortium: none; MEAl-R: none; LB: none; JM: none.