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Identification of novel genetic markers associated with clinical phenotypes of systemic sclerosis through a genome-wide association strategy.

Authors :
Olga Gorlova
Jose-Ezequiel Martin
Blanca Rueda
Bobby P C Koeleman
Jun Ying
Maria Teruel
Lina-Marcela Diaz-Gallo
Jasper C Broen
Madelon C Vonk
Carmen P Simeon
Behrooz Z Alizadeh
Marieke J H Coenen
Alexandre E Voskuyl
Annemie J Schuerwegh
Piet L C M van Riel
Marie Vanthuyne
Ruben van 't Slot
Annet Italiaander
Roel A Ophoff
Nicolas Hunzelmann
Vicente Fonollosa
Norberto Ortego-Centeno
Miguel A González-Gay
Francisco J García-Hernández
María F González-Escribano
Paolo Airo
Jacob van Laar
Jane Worthington
Roger Hesselstrand
Vanessa Smith
Filip de Keyser
Fredric Houssiau
Meng May Chee
Rajan Madhok
Paul G Shiels
Rene Westhovens
Alexander Kreuter
Elfride de Baere
Torsten Witte
Leonid Padyukov
Annika Nordin
Raffaella Scorza
Claudio Lunardi
Benedicte A Lie
Anna-Maria Hoffmann-Vold
Oyvind Palm
Paloma García de la Peña
Patricia Carreira
Spanish Scleroderma Group
John Varga
Monique Hinchcliff
Annette T Lee
Pravitt Gourh
Christopher I Amos
Frederick M Wigley
Laura K Hummers
J Lee Nelson
Gabriella Riemekasten
Ariane Herrick
Lorenzo Beretta
Carmen Fonseca
Christopher P Denton
Peter K Gregersen
Sandeep Agarwal
Shervin Assassi
Filemon K Tan
Frank C Arnett
Timothy R D J Radstake
Maureen D Mayes
Javier Martin
Source :
PLoS Genetics, Vol 7, Iss 7, p e1002178 (2011)
Publication Year :
2011
Publisher :
Public Library of Science (PLoS), 2011.

Abstract

The aim of this study was to determine, through a genome-wide association study (GWAS), the genetic components contributing to different clinical sub-phenotypes of systemic sclerosis (SSc). We considered limited (lcSSc) and diffuse (dcSSc) cutaneous involvement, and the relationships with presence of the SSc-specific auto-antibodies, anti-centromere (ACA), and anti-topoisomerase I (ATA). Four GWAS cohorts, comprising 2,296 SSc patients and 5,171 healthy controls, were meta-analyzed looking for associations in the selected subgroups. Eighteen polymorphisms were further tested in nine independent cohorts comprising an additional 3,175 SSc patients and 4,971 controls. Conditional analysis for associated SNPs in the HLA region was performed to explore their independent association in antibody subgroups. Overall analysis showed that non-HLA polymorphism rs11642873 in IRF8 gene to be associated at GWAS level with lcSSc (P = 2.32×10(-12), OR = 0.75). Also, rs12540874 in GRB10 gene (P = 1.27 × 10(-6), OR = 1.15) and rs11047102 in SOX5 gene (P = 1.39×10(-7), OR = 1.36) showed a suggestive association with lcSSc and ACA subgroups respectively. In the HLA region, we observed highly associated allelic combinations in the HLA-DQB1 locus with ACA (P = 1.79×10(-61), OR = 2.48), in the HLA-DPA1/B1 loci with ATA (P = 4.57×10(-76), OR = 8.84), and in NOTCH4 with ACA P = 8.84×10(-21), OR = 0.55) and ATA (P = 1.14×10(-8), OR = 0.54). We have identified three new non-HLA genes (IRF8, GRB10, and SOX5) associated with SSc clinical and auto-antibody subgroups. Within the HLA region, HLA-DQB1, HLA-DPA1/B1, and NOTCH4 associations with SSc are likely confined to specific auto-antibodies. These data emphasize the differential genetic components of subphenotypes of SSc.

Subjects

Subjects :
Genetics
QH426-470

Details

Language :
English
ISSN :
15537390 and 15537404
Volume :
7
Issue :
7
Database :
Directory of Open Access Journals
Journal :
PLoS Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.5f42acd89a14eab989b4aae529eeb02
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pgen.1002178