Sathian, B, Van Teijlingen, E, Roy, B, Kabir, R, Banerjee, I, Simkhada, P and Al Hamad, H (2023) Addressing the inequalities in global genetic studies for the advancement of Genetic Epidemiology. Nepal Journal of Epidemiology, 13 (4). pp. 1292-1293.

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Abstract

The human reference genome assembly has been available for two decades, and advancements in sequencing technology have enabled rapid whole-genome sequencing in single institutes. WGS (whole-genome sequencing) data analysis applications will enable large-scale data analysis on multi-clouds, integrate datasets with a population scale, and ensure the reproducibility of publications through modern workflow engines and scalability. In human genetics, expert-knowledge-driven approaches from medical and biological professionals and data-driven approaches from computer science applied to epidemiology, such as AI (artificial intelligence), are required for domain-specific downstream data interpretations. For reliable diagnostic, prognostic, and therapeutic tools, as well as generalized outcomes, genomic studies should involve a wide range of majority and minority populations. The field of genomics in medicine is entering a new era, and to increase the application of gene therapy in the treatment of emerging infections and disorders, there needs to be a united worldwide effort.

Item Type:	Article
Subjects:	Q Science > QH Natural history > QH426 Genetics R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions:	Public Health Institute
Publisher:	Nepal Journals Online (JOL)
SWORD Depositor:	A Symplectic
Date Deposited:	06 Feb 2024 11:36
Last Modified:	06 Feb 2024 11:36
DOI or ID number:	10.3126/nje.v13i4.61271
URI:	https://researchonline.ljmu.ac.uk/id/eprint/22515

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