Targeted Resequencing of Otosclerosis Patients from Different Populations Replicates Results from a Previous Genome-Wide Association Study.
Lisse J M TavernierThomas VanpouckeIsabelle SchrauwenGuy Van CampErik FransenPublished in: Journal of clinical medicine (2022)
Otosclerosis is one of the most common causes of hearing loss in young adults. It has a prevalence of 0.3-0.4% in the European population. Clinical symptoms usually occur between the second and fifth decade of life. Different studies have been performed to unravel the genetic architecture of the disease. Recently, a genome-wide association study (GWAS) identified 15 novel risk loci and replicated the regions of three previously reported candidate genes. In this study, seven candidate genes from the GWAS were resequenced using single molecule molecular inversion probes (smMIPs). smMIPs were used to capture the exonic regions and the 3' and 5' untranslated regions (UTR). Discovered variants were tested for association with the disease using single variant and gene-based association analysis. The single variant results showed that 13 significant variants were associated with otosclerosis. Associated variants were found in five of the seven genes studied here, including AHSG , LINC01482 , MARK3 , SUPT3H and RELN . Conversely, burden testing did not show a major role of rare variants in the disease. In conclusion, this study was able to replicate five out of seven candidate genes reported in the previous GWAS. This association is likely mainly driven by common variants.
Keyphrases
- genome wide association study
- copy number
- single molecule
- genome wide
- young adults
- end stage renal disease
- risk factors
- living cells
- ejection fraction
- chronic kidney disease
- hearing loss
- newly diagnosed
- dna methylation
- long non coding rna
- small molecule
- gene expression
- computed tomography
- magnetic resonance
- magnetic resonance imaging
- peritoneal dialysis
- depressive symptoms
- prognostic factors
- genome wide identification
- cancer therapy
- transcription factor
- atomic force microscopy
- high speed
- solid state
- fluorescence imaging
- genome wide analysis