Login / Signup

Mendelian Disorders in an Interstitial Cystitis/Bladder Pain Syndrome Cohort.

Elicia EstrellaShira RockowitzMarielle ThornePressley SmithJeanette PetitVeronica ZehnderRichard N YuStuart BauerCharles BerdePankaj B AgrawalAlan H BeggsAli G GharaviLouis KunkelCatherine A Brownstein
Published in: Advanced genetics (Hoboken, N.J.) (2022)
Interstitial cystitis/bladder pain syndrome (IC/BPS) is a chronic pain disorder causing symptoms of urinary frequency, urgency, and bladder discomfort or pain. Although this condition affects a large population, little is known about its etiology. Genetic analyses of whole exome sequencing are performed on 109 individuals with IC/BPS. One family has a previously reported  SIX5  variant (ENST00000317578.6:c.472G>A, p.Ala158Thr), consistent with Branchiootorenal syndrome 2 (BOR2). A likely pathogenic heterozygous variant in  ATP2A2  (ENST00000539276.2:c.235G>A, p.Glu79Lys) is identified in two unrelated probands, indicating possible Darier-White disease. Two private heterozygous variants are identified in  ATP2C1  (ENST00000393221.4:c.2358A>T, p.Glu786Asp (VUS/Likely Pathogenic) and ENST00000393221.4:c.989C>G, p.Thr330Ser (likely pathogenic)), indicative of Hailey-Hailey Disease. Sequence kernel association test analysis finds an increased burden of rare  ATP2C1  variants in the IC/BPS cases versus a control cohort ( p = 0.03, OR = 6.76), though does not survive Bonferroni correction. The data suggest that some individuals with IC/BPS may have unrecognized Mendelian syndromes. Comprehensive phenotyping and genotyping aid in understanding the range of diagnoses in the population-based IC/BPS cohort. Conversely,  ATP2C1, ATP2A2 , and  SIX5  may be candidate genes for IC/BPS. Further evaluation with larger numbers is needed. Genetically screening individuals with IC/BPS may help diagnose and treat this painful disorder due to its heterogeneous nature.
Keyphrases
  • chronic pain
  • spinal cord injury
  • copy number
  • early onset
  • high throughput
  • healthcare
  • risk factors
  • spinal cord
  • dna methylation
  • depressive symptoms
  • big data