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Whole exome sequencing reveals novel and recurrent disease-causing variants in lens specific gap junctional protein encoding genes causing congenital cataract.

Berry, Vanita and Ionides, Alex and Pontikos, Nikolas and Moghul, Ismail and Moore, Anthony T. and Quinlan, Roy A. and Michaelides, Michel (2020) 'Whole exome sequencing reveals novel and recurrent disease-causing variants in lens specific gap junctional protein encoding genes causing congenital cataract.', Genes., 11 (5). p. 512.

Abstract

Pediatric cataract is clinically and genetically heterogeneous, and is the most common cause of childhood blindness worldwide. In this study, we aimed to identify disease-causing variants in three large British families and one isolated case with autosomal dominant congenital cataract, using whole exome sequencing. We identified four different heterozygous variants, three in the large families and one in the isolated case. Family A, with a novel missense variant (c.178G>C, p.Gly60Arg) in GJA8 with lamellar cataract; family B, with a recurrent variant in GJA8 (c.262C>T, p.Pro88Ser) associated with nuclear cataract; and family C, with a novel variant in GJA3 (c.771dupC, p.Ser258GlnfsTer68) causing a lamellar phenotype. Individual D had a novel variant in GJA3 (c.82G>T, p.Val28Leu) associated with congenital cataract. Each sequence variant was found to cosegregate with disease. Here, we report three novel and one recurrent disease-causing sequence variant in the gap junctional protein encoding genes causing autosomal dominant congenital cataract. Our study further extends the mutation spectrum of these genes and further facilitates clinical diagnosis. A recurrent p.P88S variant in GJA8 causing isolated nuclear cataract provides evidence of further phenotypic heterogeneity associated with this variant.

Item Type:Article
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Available under License - Creative Commons Attribution.
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.3390/genes11050512
Publisher statement:This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Date accepted:04 May 2020
Date deposited:05 May 2020
Date of first online publication:06 May 2020
Date first made open access:05 May 2020

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