Identifying an appropriate gene testing tool for inherited retinal dystrophy in Indonesia, a developing country.

Autor:	Perdamaian ABI; Universitas Gadjah Mada, Faculty of Medicine, Public Health and Nursing, Department of Ophthalmology, Yogyakarta, Indonesia., Drupadi RN; Universitas Gadjah Mada, Faculty of Medicine, Public Health and Nursing, Department of Ophthalmology, Yogyakarta, Indonesia., Aribowo E; Universitas Gadjah Mada, Faculty of Medicine, Public Health and Nursing, Department of Internal Medicine, Yogyakarta, Indonesia., Paramita DK; Universitas Gadjah Mada, Faculty of Medicine, Public Health and Nursing, Department of Histology and Molecular Biology, Yogyakarta, Indonesia., Sasongko MB; Universitas Gadjah Mada, Faculty of Medicine, Public Health and Nursing, Department of Ophthalmology, Yogyakarta, Indonesia., Supanji S; Universitas Gadjah Mada, Faculty of Medicine, Public Health and Nursing, Department of Ophthalmology, Yogyakarta, Indonesia. supanji@ugm.ac.id.
Jazyk:	angličtina
Zdroj:	The Medical journal of Malaysia [Med J Malaysia] 2024 May; Vol. 79 (3), pp. 342-347.
Abstrakt:	Introduction: Inherited retinal dystrophy (IRD) is a group of untreated genetic ocular diseases that mostly affect young people. The number of patients with IRD worldwide, including in developing countries, is growing each year. This literature review aimed to investigate the current utilised genetic screening of IRD worldwide and to propose the most feasible genetics test and diagnostic method for IRD in developing countries, especially Indonesia. Materials and Methods: A literature search was performed in PubMed and Google Scholar databases. Papers conducting wide genome sequencing, including panel sequencing (panel-seq), microarray, whole exome sequencing (WES), whole genome sequencing (WGS) and Sanger sequencing on patients with IRD, were included. Papers were sorted into several groups to visualise the sequencing technology's detection rate. Detection rate comparison analysis was done using the meta-regress protocol in the R program. Whereas the number of novel mutations in each testing tool each year was pooled and compared in the graph. Results: After conducting the literature study, 37 papers were sorted from 451 results. Most studies conducted a panel-seq with 16 records followed by WES with seven records. The detection rate of the WES meta-analysis was 0.66, which was slightly better than the panel-seq with 0.55. The number of novel mutation discoveries fluctuated each year with panel-seq as the most prominent finder. Cost factors and the limitation of sequencing devices make panel-seq a more appropriate tool in Indonesia. Conclusion: The most effective selection for evaluated genetic testing was WES. Therefore, panel-seq is more suitable for first-tier genetic testing in Indonesia.
Databáze:	MEDLINE
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