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Autor(en) / Beteiligte
Titel
Early Diagnosis of Syndromic Congenital Cataracts in a Large Cohort of Congenital Cataracts
Ist Teil von
  • American journal of ophthalmology, 2024-07, Vol.263, p.206-213
Ort / Verlag
United States: Elsevier Inc
Erscheinungsjahr
2024
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • To explore the factors related to the diagnosis yield of syndromic congenital cataracts and describe the phenotype-genotype correlation in congenital cataract patients. Prospective cohort study. Setting: the participants from underwent clinical examinations between 2021 and 2022. Facial and anterior eye segment photographs, pre- and postoperative ocular parameters, and medical and family histories were recorded. Bioinformatics analysis was performed using whole-exome sequencing data. Statistical and correlation analyses were performed using the basic characteristics, deep phenotype, and genotype data. Participants: 115 patients with unrelated congenital cataract. Interventions: performing clinical examinations, whole-exome sequencing, and bioinformatics analysis for all participants. Main outcomes and measures: factors related to the genetic diagnosis yield of syndromic congenital cataracts. Bilaterally asymmetrical cataracts were identified to be associated with syndromic congenital cataracts. The overall genetic diagnostic yield in the cohort was 72.2%. In total, 34.8% of the probands were early diagnosed with various syndromes with the help of genetic information. A phenotype-genotype correlation was detected for some genes and deep phenotypes. We highlight the importance of screening syndromic diseases in the patients with asymmetrical congenital cataracts. Application of whole-exome sequencing helps provide early diagnosis and treatment for the patients with syndromic congenital cataracts. This study also achieved a high genetic diagnostic yield, expanded the genotypic spectrum, and found phenotype-genotype correlations. A comprehensive analysis of cataract symmetricity, family history, and deep phenotypes makes the genotype prediction of some congenital cataract patients possible.
Sprache
Englisch
Identifikatoren
ISSN: 0002-9394, 1879-1891
eISSN: 1879-1891
DOI: 10.1016/j.ajo.2023.10.022
Titel-ID: cdi_proquest_miscellaneous_2928966544
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