Whole-Exome Analysis for Polish Caucasian Patients with Retinal Dystrophies and the Creation of a Reference Genomic Database for the Polish Population.
Ewa MatczyńskaRobert SzymańczakKatarzyna StradomskaPrzemysław ŁyszkiewiczMaria JędrzejowskaKarolina KaminskaMarta Beć-GajowniczekEwa SucheckaMarek ZagulskiMarta P WiącekEdward WylegalaAnna MachalińskaMalgorzata MossakowskaMonika Puzianowska-KuźnickaSławomir Jan TeperAnna Boguszewska-ChachulskaPublished in: Genes (2024)
We present the results of the first study of a large cohort of patients with inherited retinal dystrophies (IRD) performed for the Polish population using whole-exome sequencing (WES) in the years 2016-2019. Moreover, to facilitate such diagnostic analyses and enable future application of gene therapy and genome editing for IRD patients, a Polish genomic reference database (POLGENOM) was created based on whole-genome sequences of healthy Polish Caucasian nonagenarians and centenarians. The newly constructed database served as a control, providing a comparison for variant frequencies in the Polish population. The diagnostic yield for the selected group of IRD patients reached 64.9%. The study uncovered the most common pathogenic variants in ABCA4 and USH2A in the European population, along with several novel causative variants. A significant frequency of the ABCA4 complex haplotype p.(Leu541Pro; Ala1038Val) was observed, as well as that of the p.Gly1961Glu variant. The first VCAN causative variant NM_004385.5:c.4004-2A>G in Poland was found and described. Moreover, one of the first patients with the RPE65 causative variants was identified, and, in consequence, could receive the dedicated gene therapy. The availability of the reference POLGENOM database enabled comprehensive variant characterisation during the NGS data analysis, confirming the utility of a population-specific genomic database for enhancing diagnostic accuracy. Study findings suggest the significance of genetic testing in elder patients with unclear aetiology of eye diseases. The combined approach of NGS and the reference genomic database can improve the diagnosis, management, and future treatment of IRDs.
Keyphrases
- copy number
- gene therapy
- end stage renal disease
- data analysis
- genome editing
- crispr cas
- adverse drug
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- optical coherence tomography
- emergency department
- diabetic retinopathy
- gene expression
- wastewater treatment
- photodynamic therapy
- electronic health record
- combination therapy
- replacement therapy