Genes · 2025
Multimorbidity Through the Lens of the Eye: Pathogenic Variants for Multiple Systemic Disorders Found in an Autosomal Dominant Congenital Cataract Cohort.
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Berry Vanita, Ponnekanti Manav B, Aychoua Nancy, Ionides Alex, Tsika Chrysanthi, Quinlan Roy A, Michaelides Michel
Аннотация
BACKGROUND: This paper will identify the potential genetic causes of multimorbidity associated with autosomal dominant congenital cataract (ADCC).
METHODS: Whole exome sequencing (WES) was performed on 13 individuals affected with ADCC. Subsequent bioinformatic analyses identified variants with deleterious pathogenicity scores.
RESULTS: Disease-causing variants were identified in 8 genes already linked to cataract (CHMP4B, CRYAA, CRYBA1, CRYGD, CYP21A2, GJA8, OPA1, and POMGNT1), but variants previously associated with systemic disorders were also found in a further 11 genes (ACTL9, ALDH18A1, CBS, COL4A3, GALT, LRP5, NOD2, PCK2, POMT2, RSPH4A, and SMO). All variants were identified via pipeline data analysis, prioritising rare coding variants using Kaviar and the Genome Aggregation Database. The following ADCC-associated non-ocular phenotypes were identified in four patients in the cohort: (i) Horner's pupils, vaso-vagal syncope, and paroxysmal orthostatic tachycardia syndrome; (ii) reduced kidney function and high cholesterol; (iii) hypertension, high cholesterol, and kidney stones; and (iv) grade 1 spondylolysis.
CONCLUSIONS: We report 11 novel genes identified in an ADCC patient cohort associated with systemic disorders found, along with 8 known cataract-causing genes. Our findings broaden the spectrum of potentially cataract-associated genes and their related lens phenotypes, as well as evidence multimorbidities in four patients, highlighting the importance of careful multisystem phenotyping following genetic analysis.
METHODS: Whole exome sequencing (WES) was performed on 13 individuals affected with ADCC. Subsequent bioinformatic analyses identified variants with deleterious pathogenicity scores.
RESULTS: Disease-causing variants were identified in 8 genes already linked to cataract (CHMP4B, CRYAA, CRYBA1, CRYGD, CYP21A2, GJA8, OPA1, and POMGNT1), but variants previously associated with systemic disorders were also found in a further 11 genes (ACTL9, ALDH18A1, CBS, COL4A3, GALT, LRP5, NOD2, PCK2, POMT2, RSPH4A, and SMO). All variants were identified via pipeline data analysis, prioritising rare coding variants using Kaviar and the Genome Aggregation Database. The following ADCC-associated non-ocular phenotypes were identified in four patients in the cohort: (i) Horner's pupils, vaso-vagal syncope, and paroxysmal orthostatic tachycardia syndrome; (ii) reduced kidney function and high cholesterol; (iii) hypertension, high cholesterol, and kidney stones; and (iv) grade 1 spondylolysis.
CONCLUSIONS: We report 11 novel genes identified in an ADCC patient cohort associated with systemic disorders found, along with 8 known cataract-causing genes. Our findings broaden the spectrum of potentially cataract-associated genes and their related lens phenotypes, as well as evidence multimorbidities in four patients, highlighting the importance of careful multisystem phenotyping following genetic analysis.