Addressing the inequalities in global genetic studies for the advancement of Genetic Epidemiology

Authors

DOI:

https://doi.org/10.3126/nje.v13i4.61271

Keywords:

Genetic Epidemiology, High Performance Computing, clinical epidemiology

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.

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Author Biographies

Brijesh Sathian, Hamad Medical Corporation

Geriatrics and long term care department, Rumailah Hospital, Hamad Medical Corporation

Edwin van Teijlingen, Bournemouth University

CMWH Bournemouth University Bournemouth Gateway Building  (5th floor) St Paul's Lane Bournemouth, BH8 8GP United Kingdom

Bedanta Roy, Quest International University

Department of Physiology, Faculty of Medicine, Quest International University, No. 227, Plaza Teh Teng Seng (Level 2), Jalan Raja Permaisuri Bainun, 30250 Ipoh, Perak Darul Ridzuan, Malaysia.

Russell Kabir, Anglia Ruskin University

School of Allied Health, Anglia Ruskin University, Essex, UK

Indrajit Banerjee, Sir Seewoosagur Ramgoolam Medical College

Sir Seewoosagur Ramgoolam Medical College, Belle Rive, Mauritius

Padam Simkhada, University of Huddersfield

School of Human and Health Sciences, University of

Huddersfield, Huddersfield, UK

Hanadi Al Hamad, Hamad Medical Corporation

Geriatrics and long term care department, Rumailah Hospital, Hamad Medical Corporation

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Published

2023-12-31

How to Cite

Sathian, B., van Teijlingen, E., Roy, B., Kabir, R., Banerjee, I., Simkhada, P., & Al Hamad, H. (2023). Addressing the inequalities in global genetic studies for the advancement of Genetic Epidemiology. Nepal Journal of Epidemiology, 13(4), 1292–1293. https://doi.org/10.3126/nje.v13i4.61271

Issue

Section

Editorial