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Abstract Number: 155

Exome Sequencing For Identification Of Potential Causal Variants For Diffuse Cutaneous Systemic Sclerosis

Angel CY Mak1, M Kari Connolly2, Tamiko Katsumoto3,4, Paul Wolters5, Clare Cleveland3,4, Blanca M Herrera1, Paul LF Tang1, Simi Mathauda1, Richard Lao1, Pui-Yan Kwok1,2 and Lindsey A. Criswell3,4, 1University of California, San Francisco, Institute for Human Genetics, San Francisco, CA, 2University of California, San Francisco, Department of Dermatology, San Francisco, CA, 3University of California, San Francisco, Rosalind Russell Medical Research Center for Arthritis, San Francisco, CA, 4University of California, San Francisco, Department of Medicine, San Francisco, CA, 5University of California, San Francisco, Department of Medicine, Pulmonary Division, San Francisco, CA

Meeting: 2013 ACR/ARHP Annual Meeting

Keywords: genetics and systemic sclerosis, Scleredema

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Session Information

Title: Genetics and Genomics of Rheumatic Disease I

Session Type: Abstract Submissions (ACR)

Background/Purpose:

Scleroderma is a genetically complex autoimmune disease with substantial phenotypic heterogeneity. Previous genome-wide association studies (GWAS) have identified a large number of gene regions associated with disease risk.  However, GWAS directly capture only common genetic variation that are presumably in linkage disequilibrium with causal variants, which may be rare in the general disease population.  Our goal was to identify rare and potentially causal variants through performance of whole exome sequencing.  We focused on patients with severe disease, and specifically those with diffuse cutaneous systemic sclerosis (dcSSc), to limit disease heterogeneity.

Methods:

Our initial exome-sequencing studies were performed on 24 dcSSc patients using the Illumina HiSeq2500 platform and the Nimblegen SeqCap EZ v3.0 exome enrichment protocol.  We also studied 60 healthy control subjects who underwent exome sequencing in the same laboratory using comparable methods.  Exome sequencing reads were processed using the automated pipeline for next-generation sequencing data (bcbio-nextgen, https://github.com/chapmanb/bcbio-nextgen) and variants were annotated with ANNOVAR. We applied a gene burden test to identify genes that were enriched or depleted with rare (MAF≤0.01) and functionally deleterious (SIFT≤0.05) variants in dcSSc patients compared to control individuals.

Results:

Paired 100bp end reads were generated with a mean coverage of 56X on the targeted exome regions (64Mb). We identified 31 genes that were enriched or depleted with rare and functionally deleterious variants in dcSSc patients. Among the 31 genes, 6 genes (ADAMTS8, ALMS1, CHST15, DACH1, FMNL2, RELN) were in previously identified scleroderma susceptibility loci or pathways implicated in scleroderma pathogenesis.

Conclusion:

Using exome sequencing and gene burden analysis, we identified 31 genes that contain rare and potentially functionally deleterious variants that may contribute to the development of dcSSc.  This pilot study demonstrates the potential value of whole exome sequencing for the identification of causal variants that contribute to scleroderma risk and/or severity.


Disclosure:

A. C. Mak,
None;

M. K. Connolly,
None;

T. Katsumoto,
None;

P. Wolters,
None;

C. Cleveland,
None;

B. M. Herrera,
None;

P. L. Tang,
None;

S. Mathauda,
None;

R. Lao,
None;

P. Y. Kwok,
None;

L. A. Criswell,
None.

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