Impact Factor:
6.3
KAIMRC Affiliation:
No KAIMRC Affiliation (Alswaid – KAMC)
Name of Article:
Joubert syndrome: a model for untangling recessive disorders with extreme genetic heterogeneity
Author(s):
Bachmann-Gagescu, R., Dempsey, J.C., Phelps, I.G., O’Roak, B.J., Knutzen, D.M., Alswaid, A., et al.
Journal:
Journal of Medical Genetics
Year of Publication:
2015
Publication Issue:
52 (8)
Page Numbers:
514-522
Affiliation:
Institute for Molecular Life Sciences and Institute of Medical Genetics, University of Zurich, Zurich, Switzerland; Department of Pediatrics, University of Washington, Seattle, Washington, USA; Molecular and Medical Genetics, Oregon Health and Science University, Portland, Oregon, USA.; Department of Oncology, Franciscan Health System, Tacoma, Washington, USA.; Department of Biostatistics, University of Washington, Seattle, Washington, USA.; Department of Radiology, University of Washington, Seattle Children’s Hospital, Seattle, Washington, USA.; Department of Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.; Division of Integrated Cancer Genomics, Translational Genomics Research Institute, Phoenix, Arizona, USA.; Department of Genome Sciences, University of Washington, Seattle, Washington, USA. ; Department of Pediatrics, King Abdulaziz Medical City, Riyadh, Saudi Arabia.
Shortlink:
http://bit.ly/1kisOm2
Background:
Joubert syndrome (JS) is a recessive neurodevelopmental disorder characterised by hypotonia, ataxia, cognitive impairment, abnormal eye movements, respiratory control disturbances and a distinctive mid-hindbrain malformation. JS demonstrates substantial phenotypic variability and genetic heterogeneity. This study provides a comprehensive view of the current genetic basis, phenotypic range and gene-phenotype associations in JS.
Methods:
We sequenced 27 JS-associated genes in 440 affected individuals (375 families) from a cohort of 532 individuals (440 families) with JS, using molecular inversion probe-based targeted capture and next-generation sequencing. Variant pathogenicity was defined using the Combined Annotation Dependent Depletion algorithm with an optimised score cut-off.
Results:
We identified presumed causal variants in 62% of pedigrees, including the first B9D2 mutations associated with JS. 253 different mutations in 23 genes highlight the extreme genetic heterogeneity of JS. Phenotypic analysis revealed that only 34% of individuals have a ‘pure JS’ phenotype. Retinal disease is present in 30% of individuals, renal disease in 25%, coloboma in 17%, polydactyly in 15%, liver fibrosis in 14% and encephalocele in 8%. Loss of CEP290 function is associated with retinal dystrophy, while loss of TMEM67 function is associated with liver fibrosis and coloboma, but we observe no clear-cut distinction between JS subtypes.
Conclusions:
This work illustrates how combining advanced sequencing techniques with phenotypic data addresses extreme genetic heterogeneity to provide diagnostic and carrier testing, guide medical monitoring for progressive complications, facilitate interpretation of genome-wide sequencing results in individuals with a variety of phenotypes and enable gene-specific treatments in the future.