The indigenous populations as the model by nature to understand human genomic-phenomics interactions

Background: The advancement of genomics has progressed in lightning speed over the past two decades. Numerous large-scale genome sequencing initiatives were announced, along with the rise of the holistic precision medicine approach. However, the field of genomic medicine has now come to a bottleneck...

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Bibliographic Details
Published in:Quantitative Biology
Main Author: Hoh B.-P.; Rahman T.A.
Format: Review
Language:English
Published: Higher Education Press Limited Company 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128206534&doi=10.15302%2fJ-QB-021-0251&partnerID=40&md5=ddd6b75bb58077db5f09c2af6ea220b5
id 2-s2.0-85128206534
spelling 2-s2.0-85128206534
Hoh B.-P.; Rahman T.A.
The indigenous populations as the model by nature to understand human genomic-phenomics interactions
2022
Quantitative Biology
10
1
10.15302/J-QB-021-0251
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128206534&doi=10.15302%2fJ-QB-021-0251&partnerID=40&md5=ddd6b75bb58077db5f09c2af6ea220b5
Background: The advancement of genomics has progressed in lightning speed over the past two decades. Numerous large-scale genome sequencing initiatives were announced, along with the rise of the holistic precision medicine approach. However, the field of genomic medicine has now come to a bottleneck since genomic-phenomic interactions are not fully comprehended due to the complexity of the human systems biology and environmental influence, hence the emergence of human phenomics. Results: This review attempts to provide an overview of the potential advantages of investigating the human phenomics of indigenous populations and the challenges ahead. Conclusion: We believe that the indigenous populations serve as an ideal model to excavate our understanding of genomic-environmental-phenomics interactions. © The Author(s) 2021. Published by Higher Education Press.
Higher Education Press Limited Company
20954689
English
Review
All Open Access; Gold Open Access
author Hoh B.-P.; Rahman T.A.
spellingShingle Hoh B.-P.; Rahman T.A.
The indigenous populations as the model by nature to understand human genomic-phenomics interactions
author_facet Hoh B.-P.; Rahman T.A.
author_sort Hoh B.-P.; Rahman T.A.
title The indigenous populations as the model by nature to understand human genomic-phenomics interactions
title_short The indigenous populations as the model by nature to understand human genomic-phenomics interactions
title_full The indigenous populations as the model by nature to understand human genomic-phenomics interactions
title_fullStr The indigenous populations as the model by nature to understand human genomic-phenomics interactions
title_full_unstemmed The indigenous populations as the model by nature to understand human genomic-phenomics interactions
title_sort The indigenous populations as the model by nature to understand human genomic-phenomics interactions
publishDate 2022
container_title Quantitative Biology
container_volume 10
container_issue 1
doi_str_mv 10.15302/J-QB-021-0251
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128206534&doi=10.15302%2fJ-QB-021-0251&partnerID=40&md5=ddd6b75bb58077db5f09c2af6ea220b5
description Background: The advancement of genomics has progressed in lightning speed over the past two decades. Numerous large-scale genome sequencing initiatives were announced, along with the rise of the holistic precision medicine approach. However, the field of genomic medicine has now come to a bottleneck since genomic-phenomic interactions are not fully comprehended due to the complexity of the human systems biology and environmental influence, hence the emergence of human phenomics. Results: This review attempts to provide an overview of the potential advantages of investigating the human phenomics of indigenous populations and the challenges ahead. Conclusion: We believe that the indigenous populations serve as an ideal model to excavate our understanding of genomic-environmental-phenomics interactions. © The Author(s) 2021. Published by Higher Education Press.
publisher Higher Education Press Limited Company
issn 20954689
language English
format Review
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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