Literature DB >> 30450742

Next generation sequencing-based molecular diagnosis in familial congenital cataract expands the mutational spectrum in known congenital cataract genes.

Mirena C Astiazarán1,2, Leopoldo A García-Montaño1, Francisco Sánchez-Moreno2, Humberto Matiz-Moreno3, Juan C Zenteno1,4.   

Abstract

Congenital cataract (CC) is a significant cause of childhood blindness worldwide. CC is a genetically heterogeneous disease because mutations in over 40 genes have been demonstrated to cause the disorder and up to 40% of cases arise from single-gene mutations. Hence, next generation sequencing (NGS) of deoxyribonucleic acid is a suitable approach for CC molecular diagnosis. In this study, we used commercially available inherited disease NGS panels including 50 CC genes for the genetic diagnosis of 11 probands with hereditary CC. Causal variants were recognized in six families. A novel CRYGC variant, p.(Phe6Ser), was identified in two apparently unrelated families. Two additional novel variants in the crystallin genes CRYBB2 (p.[Gly149Asp]) and CRYGA (p.[Arg48Cys]) were also identified. One family carried the novel p.[Gly8_Leu11del] variant in GJA8, while another family exhibited the previously reported c.2826-9G>A pathogenic change in EPHA2. Our results illustrate the utility of NGS for diagnosing CC in our population, and our results contribute to expand the mutational spectrum with four novel pathogenic variants in known CC genes.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  cataract; crystallin; eye diseases; hereditary

Mesh:

Year:  2018        PMID: 30450742     DOI: 10.1002/ajmg.a.40524

Source DB:  PubMed          Journal:  Am J Med Genet A        ISSN: 1552-4825            Impact factor:   2.802


  8 in total

1.  Case Report: A de novo Variant of CRYGC Gene Associated With Congenital Cataract and Microphthalmia.

Authors:  Yu Peng; Yu Zheng; Zifeng Deng; Shuju Zhang; Yilan Tan; Zhengmao Hu; Lijuan Tao; Yulin Luo
Journal:  Front Genet       Date:  2022-05-27       Impact factor: 4.772

2.  A functional role for the cancer disparity-linked genes, CRYβB2 and CRYβB2P1, in the promotion of breast cancer.

Authors:  Maya A Barrow; Megan E Martin; Alisha Coffey; Portia L Andrews; Gieira S Jones; Denise K Reaves; Joel S Parker; Melissa A Troester; Jodie M Fleming
Journal:  Breast Cancer Res       Date:  2019-09-11       Impact factor: 6.466

3.  Molecular and Genetic Mechanism of Non-Syndromic Congenital Cataracts. Mutation Screening in Spanish Families.

Authors:  Celia Fernández-Alcalde; María Nieves-Moreno; Susana Noval; Jesús M Peralta; Victoria E F Montaño; Ángela Del Pozo; Fernando Santos-Simarro; Elena Vallespín
Journal:  Genes (Basel)       Date:  2021-04-16       Impact factor: 4.096

4.  Identification and characterization of six β-crystallin gene mutations associated with congenital cataract in Chinese families.

Authors:  Yinhui Yu; Yue Qiao; Yang Ye; Jinyu Li; Ke Yao
Journal:  Mol Genet Genomic Med       Date:  2021-02-17       Impact factor: 2.183

5.  A Novel Mutation in CRYGC Mutation Associated with Autosomal Dominant Congenital Cataracts and Microcornea.

Authors:  Zhenbao Zhou; Liying Zhao; Yanqin Guo; Jingyi Zhuang; Nan Zhuo; Han Chen; Jieting Liu; Libo Wang
Journal:  Ophthalmol Sci       Date:  2021-12-17

6.  A novel homozygous variant in JAM3 gene causing hemorrhagic destruction of the brain, subependymal calcification, and congenital cataracts (HDBSCC) with neonatal onset.

Authors:  Domenico Umberto De Rose; Francesca Gallini; Domenica Immacolata Battaglia; Eloisa Tiberi; Simona Gaudino; Ilaria Contaldo; Chiara Veredice; Domenico Marco Romeo; Luca Massimi; Alessia Asaro; Cristina Cereda; Giovanni Vento; Eugenio Maria Mercuri
Journal:  Neurol Sci       Date:  2021-07-22       Impact factor: 3.307

7.  A large multiethnic GWAS meta-analysis of cataract identifies new risk loci and sex-specific effects.

Authors:  Hélène Choquet; Ronald B Melles; Deepti Anand; Jie Yin; Gabriel Cuellar-Partida; Wei Wang; Thomas J Hoffmann; K Saidas Nair; Pirro G Hysi; Salil A Lachke; Eric Jorgenson
Journal:  Nat Commun       Date:  2021-06-14       Impact factor: 14.919

8.  ACCV: automatic classification algorithm of cataract video based on deep learning.

Authors:  Shenming Hu; Xinze Luan; Hong Wu; Xiaoting Wang; Chunhong Yan; Jingying Wang; Guantong Liu; Wei He
Journal:  Biomed Eng Online       Date:  2021-08-05       Impact factor: 2.819

  8 in total

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