Genetics of JIA: New tools bring new approaches

• Authors: Halima Moncrieffe, Cincinnati Children's Hospital Medical Center; Sampath Prahalad, Emory University; Susan D. Thompson, Cincinnati Children's Hospital Medical Center
• Journal Title: Current Opinion in Rheumatology
• Volume: Volume 26, Number 5
• Publisher: Lippincott, Williams & Wilkins | 2014-09-01, Pages 579-584
• Type of Work: Article | Post-print: After Peer Review
• Publisher DOI: http://doi.org/10.1097/BOR.0000000000000094
• Subjects: Biology, Genetics; Health Sciences, Medicine and Surgery
• Keywords: Science & Technology; Life Sciences & Biomedicine; Rheumatology; causal risk variants; complex disease; functional variation; juvenile idiopathic arthritis; DNA METHYLATION; SUSCEPTIBILITY LOCUS; MISSING HERITABILITY; ASSOCIATION; CELLS; TRANSCRIPTION; LANDSCAPE; SEQUENCE; COMMON; GENES

Abstract

PURPOSE OF REVIEW: In juvenile idiopathic arthritis (JIA), there are now more than 25 regions represented by single nucleotide polymorphisms that show strong genetic associations. The causal variants and corresponding functions have not yet been defined for the majority of these regions. Here, we review current JIA association findings and the recent progress in the annotation of noncoding portion of the human genome as well as the new technologies necessary to apply this knowledge to JIA association findings. RECENT FINDINGS: An international collaboration was able to amass sufficient numbers of JIA and control samples to identify significantly robust genetic associations for JIA. The Encyclopedia of DNA Elements project and the National Institutes of Health (NIH) Roadmap Epigenetics Program have now annotated more than 80% of the noncoding genome, important in understanding the impact of risk loci, the majority of which fall outside of protein coding regions. Recent technological advances in high throughput sequencing, chromatin structure determination, transcription factor and enhancer binding site mapping and genome editing will likely provide a basis for understanding JIA genetic risk. SUMMARY: Understanding the role of genetic variation in the cause of JIA will provide insight for disease mechanism and may explain disease heterogeneity between JIA subtypes and between autoimmune diseases in general.