Neonatal-Onset Congenital Ectropion Uveae May Be Caused by a Distinct CYP1B1 Pathologic Variant.

PURPOSE

To report underlying genetic variants of recently described distinct phenotype of newborn glaucoma: neonatal-onset congenital ectropion uveae (NO-CEU).

DESIGN

Prospective cohort study.

METHODS

Setting: tertiary care teaching institute.

SUBJECTS

Thirteen children with clinical diagnosis of NO-CEU who had completed 1-year follow-up after glaucoma surgery and had undergone clinical exome sequencing (CES) by selective capture and sequencing of the protein-coding regions of the genes including 19 candidate genes for NO-CEU were assessed. The same criteria were applied for evaluating pathogenicity of variants to all the candidate genes.

OUTCOME MEASURES

primary-genetic variants found on CES keeping in view the clinical indication of congenital glaucoma; secondary-corneal clarity and intraocular pressure (IOP) at baseline and 1-year follow-up, interventions required to control IOP, and postoperative visual acuity. The genetic variants were correlated with the outcome.

RESULTS

All 13 patients diagnosed with NO-CEU had onset of glaucoma at birth and severe bilateral disease. Twelve of 13 (92.3%) patients harbored CYP1B1 variants. Nine of these 12 patients (83.3%) were homozygous for [c.1169G>A(p.Arg390His)] in exon-3 of CYP1B, with 5 common homozygous single-nucleotide polymorphisms flanking the pathogenic variant. They had intractable glaucoma and required multiple surgeries. Six patients had persistent corneal opacities, necessitating optical iridectomies. Three patients were compound heterozygous for CYP1B1 variants, showing [c.1169G>A(p.Arg390His)] along with [c.1103G>A(p.Arg368His)], [c.1103G>A (p.Arg368His)] along with [c.1403_1429dup(p.Arg468_Ser476dup)], and [(c.1063C>T(p.Arg355Ter)] along with [c.1325del(p.Pro442GlnfsTer15)]. These patients had better visual outcomes.

CONCLUSIONS

NO-CEU appears to be a phenotypic marker for specific CYP1B1 genotypes, one of which is [c.1169G>A(p.Arg390His)] in our study population. Phenotype recognition is helpful to characterize the underlying genetic variants.