Anglia Ruskin Research Online (ARRO)
Browse
45977.pdf (268.06 kB)

Addressing the inequalities in global genetic studies for the advancement of genetic epidemiology

Download (268.06 kB)
journal contribution
posted on 2024-03-01, 15:31 authored by Brijesh Sathian, Edwin Van Teijlingen, Bedanta Roy, Russell Kabir, Indrajit Banerjee, Padam Simkhada, Hanadi Al Hamad
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.

History

Refereed

  • Yes

Volume

13

Issue number

4

Page range

1292-1293

Publication title

Nepal Journal of Epidemiology

ISSN

2091-0800

Publisher

Nepal Journals Online (JOL)

Location

Nepal

File version

  • Published version

Language

  • eng

Item sub-type

Editorial Material, Journal

Media of output

Electronic-eCollection

Affiliated with

  • School of Allied Health Outputs

Usage metrics

    ARU Outputs

    Categories

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC