Abstract

Personalized medicine approaches are increasingly sought for diseases with a heritable component. Systemic lupus erythematosus (SLE) is the prototypic autoimmune disease resulting from loss of immunologic tolerance, but the genetic basis of SLE remains incompletely understood. Genome wide association studies (GWAS) identify regions associated with disease, based on common single nucleotide polymorphisms (SNPs) within them, but these SNPs may simply be markers in linkage disequilibrium with other, causative mutations. Here we use an hierarchical screening approach for prediction and testing of true functional variants within regions identified in GWAS; this involved bioinformatic identification of putative regulatory elements within close proximity to SLE SNPs, screening those regions for potentially causative mutations by high resolution melt analysis, and functional validation using reporter assays. Using this approach, we screened 15 SLE associated loci in 143 SLE patients, identifying 7 new variants including 5 SNPs and 2 insertions. Reporter assays revealed that the 5 SNPs were functional, altering enhancer activity. One novel variant was linked to the relatively well characterized rs9888739 SNP at the ITGAM locus, and may explain some of the SLE heritability at this site. Our study demonstrates that non-coding regulatory elements can contain private sequence variants affecting gene expression, which may explain part of the heritability of SLE.

Highlights

  • Personalized medicine approaches are increasingly sought for diseases with a heritable component

  • We hypothesised that in some cases, Genome wide association studies (GWAS) studies may identify single nucleotide polymorphisms (SNPs) that act as markers of susceptibility loci, but which are not the functional polymorphism

  • These candidate loci containing the GWAS-identified Systemic lupus erythematosus (SLE) risk SNPs were screened for nucleotide polymorphisms in addition to the previously identified SNP using high resolution melt (HRM) analysis

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Summary

Introduction

Personalized medicine approaches are increasingly sought for diseases with a heritable component. We use an hierarchical screening approach for prediction and testing of true functional variants within regions identified in GWAS; this involved bioinformatic identification of putative regulatory elements within close proximity to SLE SNPs, screening those regions for potentially causative mutations by high resolution melt analysis, and functional validation using reporter assays. Using this approach, we screened 15 SLE associated loci in 143 SLE patients, identifying 7 new variants including 5 SNPs and 2 insertions. Location GRCh37 chr8:11349106-11349337 chr8:11352441-11352669 chr8:11341434-11341669 chr8:11341211-11341453 chr11:128319404-128319593 chr7:50306738-50306937 chr7:128579542-128579750 chr7:128579213-128579449 chr7:128594148-128594325 chr16:31313154-31313407 chr16:31310286-31310508 chr6:32223144-32223381 chr5:150458354-150458578 chr6:32050679-32050949 chr22:21921209-21921364

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