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

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.

SUBMITTER: Gorlova O

PROVIDER: S-EPMC3136437 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature

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

Gorlova Olga O Martin Jose-Ezequiel JE Rueda Blanca B Koeleman Bobby P C BP Ying Jun J Teruel Maria M Diaz-Gallo Lina-Marcela LM Broen Jasper C JC Vonk Madelon C MC Simeon Carmen P CP Alizadeh Behrooz Z BZ Coenen Marieke J H MJ Voskuyl Alexandre E AE Schuerwegh Annemie J AJ van Riel Piet L C M PL Vanthuyne Marie M van 't Slot Ruben R Italiaander Annet A Ophoff Roel A RA Hunzelmann Nicolas N Fonollosa Vicente V Ortego-Centeno Norberto N González-Gay Miguel A MA García-Hernández Francisco J FJ González-Escribano María F MF Airo Paolo P van Laar Jacob J Worthington Jane J Hesselstrand Roger R Smith Vanessa V de Keyser Filip F Houssiau Fredric F Chee Meng May MM Madhok Rajan R Shiels Paul G PG Westhovens Rene R Kreuter Alexander A de Baere Elfride E Witte Torsten T Padyukov Leonid L Nordin Annika A Scorza Raffaella R Lunardi Claudio C Lie Benedicte A BA Hoffmann-Vold Anna-Maria AM Palm Oyvind O García de la Peña Paloma P Carreira Patricia P Varga John J Hinchcliff Monique M Lee Annette T AT Gourh Pravitt P Amos Christopher I CI Wigley Frederick M FM Hummers Laura K LK Nelson J Lee JL Riemekasten Gabriella G Herrick Ariane A Beretta Lorenzo L Fonseca Carmen C Denton Christopher P CP Gregersen Peter K PK Agarwal Sandeep S Assassi Shervin S Tan Filemon K FK Arnett Frank C FC Radstake Timothy R D J TR Mayes Maureen D MD Martin Javier J

PLoS genetics 20110714 7

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 a ...[more]

PMID: 21779181

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Project description:ImportanceAlthough multiple HLA alleles associated with multiple sclerosis (MS) risk have been identified, genotype-phenotype studies in the HLA region remain scarce and inconclusive.ObjectivesTo investigate whether MS risk-associated HLA alleles also affect disease phenotypes.Design, setting, and participantsA cross-sectional, case-control study comprising 652 patients with MS who had comprehensive phenotypic information and 455 individuals of European origin serving as controls was conducted at a single academic research site. Patients evaluated at the Multiple Sclerosis Center at University of California, San Francisco between July 2004 and September 2005 were invited to participate. Spinal cord imaging in the data set was acquired between July 2013 and March 2014; analysis was performed between December 2014 and December 2015.Main outcomes and measuresCumulative HLA genetic burden (HLAGB) calculated using the most updated MS-associated HLA alleles vs clinical and magnetic resonance imaging outcomes, including age at onset, disease severity, conversion time from clinically isolated syndrome to clinically definite MS, fractions of cortical and subcortical gray matter and cerebral white matter, brain lesion volume, spinal cord gray and white matter areas, upper cervical cord area, and the ratio of gray matter to the upper cervical cord area. Multivariate modeling was applied separately for each sex data set.ResultsOf the 652 patients with MS, 586 had no missing genetic data and were included in the HLAGB analysis. In these 586 patients (404 women [68.9%]; mean [SD] age at disease onset, 33.6 [9.4] years), HLAGB was higher than in controls (median [IQR], 0.7 [0-1.4] and 0 [-0.3 to 0.5], respectively; P = 1.8 × 10-27). A total of 619 (95.8%) had relapsing-onset MS and 27 (4.2%) had progressive-onset MS. No significant difference was observed between relapsing-onset MS and primary progressive MS. A higher HLAGB was associated with younger age at onset and the atrophy of subcortical gray matter fraction in women with relapsing-onset MS (standard β = -1.20 × 10-1; P = 1.7 × 10-2 and standard β = -1.67 × 10-1; P = 2.3 × 10-4, respectively), which were driven mainly by the HLA-DRB1*15:01 haplotype. In addition, we observed the distinct role of the HLA-A*24:02-B*07:02-DRB1*15:01 haplotype among the other common DRB1*15:01 haplotypes and a nominally protective effect of HLA-B*44:02 to the subcortical gray atrophy (standard β = -1.28 × 10-1; P = 5.1 × 10-3 and standard β = 9.52 × 10-2; P = 3.6 × 10-2, respectively).Conclusions and relevanceWe confirm and extend previous observations linking HLA MS susceptibility alleles with disease progression and specific clinical and magnetic resonance imaging phenotypic traits.

Project description:Systemic lupus erythematosus (SLE) is a highly heterogeneous disorder, characterized by differences in autoantibody profile, serum cytokines, and clinical manifestations. SLE-associated autoantibodies and high serum interferon alpha (IFN-?) are important heritable phenotypes in SLE which are correlated with each other, and play a role in disease pathogenesis. These two heritable risk factors are shared between ancestral backgrounds. The aim of the study was to detect genetic factors associated with autoantibody profiles and serum IFN-? in SLE.We undertook a case-case genome-wide association study of SLE patients stratified by ancestry and extremes of phenotype in serology and serum IFN-?. Single nucleotide polymorphisms (SNPs) in seven loci were selected for follow-up in a large independent cohort of 538 SLE patients and 522 controls using a multi-step screening approach based on novel metrics and expert database review. The seven loci were: leucine-rich repeat containing 20 (LRRC20); protein phosphatase 1 H (PPM1H); lysophosphatidic acid receptor 1 (LPAR1); ankyrin repeat and sterile alpha motif domain 1A (ANKS1A); protein tyrosine phosphatase, receptor type M (PTPRM); ephrin A5 (EFNA5); and V-set and immunoglobulin domain containing 2 (VSIG2).SNPs in the LRRC20, PPM1H, LPAR1, ANKS1A, and VSIG2 loci each demonstrated strong association with a particular serologic profile (all odds ratios > 2.2 and P < 3.5 × 10-4). Each of these serologic profiles was associated with increased serum IFN-?. SNPs in both PTPRM and LRRC20 were associated with increased serum IFN-? independent of serologic profile (P = 2.2 × 10-6 and P = 2.6 × 10-3 respectively). None of the SNPs were strongly associated with SLE in case-control analysis, suggesting that the major impact of these variants will be upon subphenotypes in SLE.This study demonstrates the power of using serologic and cytokine subphenotypes to elucidate genetic factors involved in complex autoimmune disease. The distinct associations observed emphasize the heterogeneity of molecular pathogenesis in SLE, and the need for stratification by subphenotypes in genetic studies. We hypothesize that these genetic variants play a role in disease manifestations and severity in SLE.

Dataset Information

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

Publications

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

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