Abstract: SA-OR093
Genetic Risk for Scleroderma Renal Crisis in RNA-Polymerase III Antibody Positive Patients
Session Information
- Vascular Biology and Dysfunction
November 04, 2017 | Location: Room 394, Morial Convention Center
Abstract Time: 04:54 PM - 05:06 PM
Category: Hypertension
- 1105 Hypertension: Clinical and Translational - Genetics and Epigenetics
Authors
- Stern, Edward, UCL, London, United Kingdom
- Guerra, Sandra G, UCL, London, United Kingdom
- Harber, Mark, UCL, London, United Kingdom
- Burns, Aine, UCL, London, United Kingdom
- Fonseca, Carmen, UCL, London, United Kingdom
- Denton, Christopher Paul, UCL, London, United Kingdom
Background
Scleroderma renal crisis (SRC), characterised by accelerated hypertension and AKI, is a life-threatening complication of systemic sclerosis (SSc). Most SSc cases have a disease-specific circulating antibody, including the anti Scl-70, anti-centromere or anti RNA polymerase III (ARA) antibodies. Previous studies confirm ARA as a powerful serological predictor of SRC, and cases of SRC more than 5 years after the diagnosis of SSc are rare. We developed an innovative approach to identify genetic susceptibility loci for SRC, comparing ARA positive patients with and without the occurrence of SRC.
Methods
From a well-characterised SSc cohort (n=415), we selected 100 ARA+ patients with more than 5 years of follow-up data. 50 had a history of SRC and 50 had not developed SRC. Cases were genotyped using the Illumina Human Omni-express chip. Quality control checks were performed in PLINK (Hardy-Weinberg equilibrium p < 0.001; genotyping rate >90%). Based on the results of logistic regression analysis, ten SNPs were put forward for validation in a separate US cohort of 256 ARA+ patients (40 SRC+), using ThermoFisher TaqMan genotyping probes. Immunohistochemistry (IHC) was performed on SRC biopsy samples to identify proteins associated with our genes of interest.
Results
After quality control checks, 641,489 SNPs were analysed in the first cohort. In logistic regression analysis of our initial cohort, the SNPs within genes and gene regions most strongly associated with SRC were for POU2F1 (p=4.12 x 10-5), CTNND2 (p=2.92 x 10-5), HECW2 (p=2.71 x 10-5), GRIA3 (p=2.16 x 10-5) and GPATCH2L (p=2.06 x 10-5). The SNP within the GPATCH2L region was also significantly associated with SRC in our validation cohort (p=0.025).
GPATCH2L polymorphisms have been associated with arterial hypertension in previous GWAS analyses.
Polymorphisms in the CTNND2 gene have been demonstrated to be associated with pulmonary arterial hypertension, another vasculopathic complication of SSc, in previous studies. We performed IHC for this protein, and confirmed altered staining of mesangial cells in SRC biopsy samples compared with controls.
Conclusion
A novel autoantibody-based extreme phenotype method identifies risk alleles for SRC within a rare disease cohort. In particular we identify CTNND2 and GPATCH2L as candidates for investigation of SRC aetiopathogenesis.
Funding
- Government Support - Non-U.S.