BACKGROUND: Pediatric cataract is an important preventable blinding disease. Previous studies have estimated 10-25% of cases to be genetic in etiology. METHODS: In an effort to characterize the genetics of cataract in our population, we have conducted a comprehensive clinical and genomic analysis (including autozygome and exome analysis) on a series of 38 index patients. RESULTS: Pediatric cataract is genetic in at least 79% of the study families. Although crystallins accounted for most of the mutant alleles, mutations in other genes were encountered, including recessive mutations in genes that usually cause the disease in a dominant manner. In addition, several novel candidate genes (MFSD6L, AKR1E2, RNLS, and CYP51A1) were identified. CONCLUSION: Pediatric cataract is typically a genetic disease, usually autosomal recessive, in Saudi Arabia. Although defining a specific cataract phenotype can sometimes predict the genetic cause, genomic analysis is often required to unravel the causative mutation given the marked genetic heterogeneity. The identified novel candidate genes require independent confirmation in future studies.
BACKGROUND: Pediatric cataract is an important preventable blinding disease. Previous studies have estimated 10-25% of cases to be genetic in etiology. METHODS: In an effort to characterize the genetics of cataract in our population, we have conducted a comprehensive clinical and genomic analysis (including autozygome and exome analysis) on a series of 38 index patients. RESULTS: Pediatric cataract is genetic in at least 79% of the study families. Although crystallins accounted for most of the mutant alleles, mutations in other genes were encountered, including recessive mutations in genes that usually cause the disease in a dominant manner. In addition, several novel candidate genes (MFSD6L, AKR1E2, RNLS, and CYP51A1) were identified. CONCLUSION: Pediatric cataract is typically a genetic disease, usually autosomal recessive, in Saudi Arabia. Although defining a specific cataract phenotype can sometimes predict the genetic cause, genomic analysis is often required to unravel the causative mutation given the marked genetic heterogeneity. The identified novel candidate genes require independent confirmation in future studies.
Authors: A M Slavotinek; S T Garcia; G Chandratillake; T Bardakjian; E Ullah; D Wu; K Umeda; R Lao; P L-F Tang; E Wan; L Madireddy; S Lyalina; B A Mendelsohn; S Dugan; J Tirch; R Tischler; J Harris; M J Clark; S Chervitz; A Patwardhan; J M West; P Ursell; A de Alba Campomanes; A Schneider; P-Y Kwok; S Baranzini; R O Chen Journal: Clin Genet Date: 2015-01-06 Impact factor: 4.438
Authors: Nisha Patel; Deepti Anand; Dorota Monies; Sateesh Maddirevula; Arif O Khan; Talal Algoufi; Mohammed Alowain; Eissa Faqeih; Muneera Alshammari; Ahmed Qudair; Hadeel Alsharif; Fatimah Aljubran; Hessa S Alsaif; Niema Ibrahim; Firdous M Abdulwahab; Mais Hashem; Haifa Alsedairy; Mohammed A Aldahmesh; Salil A Lachke; Fowzan S Alkuraya Journal: Hum Genet Date: 2016-11-22 Impact factor: 4.132
Authors: Linda M Reis; Rebecca C Tyler; Sanaa Muheisen; Victor Raggio; Leonardo Salviati; Dennis P Han; Deborah Costakos; Hagith Yonath; Sarah Hall; Patricia Power; Elena V Semina Journal: Hum Genet Date: 2013-03-19 Impact factor: 4.132