Cargando…

The pharmacogenomic landscape of an Indigenous Australian population

Background: Population genomic studies of individuals of Indigenous ancestry have been extremely limited comprising <0.5% of participants in international genetic databases and genome-wide association studies, contributing to a “genomic gap” that limits their access to personalised medicine. Whil...

Descripción completa

Detalles Bibliográficos
Autores principales: Samarasinghe, Sumudu Rangika, Hoy, Wendy, Jadhao, Sudhir, McMorran, Brendan J., Guchelaar, Henk-Jan, Nagaraj, Shivashankar H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241071/
https://www.ncbi.nlm.nih.gov/pubmed/37284308
http://dx.doi.org/10.3389/fphar.2023.1180640
_version_ 1785053904795336704
author Samarasinghe, Sumudu Rangika
Hoy, Wendy
Jadhao, Sudhir
McMorran, Brendan J.
Guchelaar, Henk-Jan
Nagaraj, Shivashankar H.
author_facet Samarasinghe, Sumudu Rangika
Hoy, Wendy
Jadhao, Sudhir
McMorran, Brendan J.
Guchelaar, Henk-Jan
Nagaraj, Shivashankar H.
author_sort Samarasinghe, Sumudu Rangika
collection PubMed
description Background: Population genomic studies of individuals of Indigenous ancestry have been extremely limited comprising <0.5% of participants in international genetic databases and genome-wide association studies, contributing to a “genomic gap” that limits their access to personalised medicine. While Indigenous Australians face a high burden of chronic disease and associated medication exposure, corresponding genomic and drug safety datasets are sorely lacking. Methods: To address this, we conducted a pharmacogenomic study of almost 500 individuals from a founder Indigenous Tiwi population. Whole genome sequencing was performed using short-read Illumina Novaseq6000 technology. We characterised the pharmacogenomics (PGx) landscape of this population by analysing sequencing results and associated pharmacological treatment data. Results: We observed that every individual in the cohort carry at least one actionable genotype and 77% of them carry at least three clinically actionable genotypes across 19 pharmacogenes. Overall, 41% of the Tiwi cohort were predicted to exhibit impaired CYP2D6 metabolism, with this frequency being much higher than that for other global populations. Over half of the population predicted an impaired CYP2C9, CYP2C19, and CYP2B6 metabolism with implications for the processing of commonly used analgesics, statins, anticoagulants, antiretrovirals, antidepressants, and antipsychotics. Moreover, we identified 31 potentially actionable novel variants within Very Important Pharmacogenes (VIPs), five of which were common among the Tiwi. We further detected important clinical implications for the drugs involved with cancer pharmacogenomics such as thiopurines and tamoxifen, immunosuppressants like tacrolimus and certain antivirals used in the hepatitis C treatment due to potential differences in their metabolic processing. Conclusion: The pharmacogenomic profiles generated in our study demonstrate the utility of pre-emptive PGx testing and have the potential to help guide the development and application of precision therapeutic strategies tailored to Tiwi Indigenous patients. Our research provides valuable insights on pre-emptive PGx testing and the feasibility of its use in ancestrally diverse populations, emphasizing the need for increased diversity and inclusivity in PGx investigations.
format Online
Article
Text
id pubmed-10241071
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-102410712023-06-06 The pharmacogenomic landscape of an Indigenous Australian population Samarasinghe, Sumudu Rangika Hoy, Wendy Jadhao, Sudhir McMorran, Brendan J. Guchelaar, Henk-Jan Nagaraj, Shivashankar H. Front Pharmacol Pharmacology Background: Population genomic studies of individuals of Indigenous ancestry have been extremely limited comprising <0.5% of participants in international genetic databases and genome-wide association studies, contributing to a “genomic gap” that limits their access to personalised medicine. While Indigenous Australians face a high burden of chronic disease and associated medication exposure, corresponding genomic and drug safety datasets are sorely lacking. Methods: To address this, we conducted a pharmacogenomic study of almost 500 individuals from a founder Indigenous Tiwi population. Whole genome sequencing was performed using short-read Illumina Novaseq6000 technology. We characterised the pharmacogenomics (PGx) landscape of this population by analysing sequencing results and associated pharmacological treatment data. Results: We observed that every individual in the cohort carry at least one actionable genotype and 77% of them carry at least three clinically actionable genotypes across 19 pharmacogenes. Overall, 41% of the Tiwi cohort were predicted to exhibit impaired CYP2D6 metabolism, with this frequency being much higher than that for other global populations. Over half of the population predicted an impaired CYP2C9, CYP2C19, and CYP2B6 metabolism with implications for the processing of commonly used analgesics, statins, anticoagulants, antiretrovirals, antidepressants, and antipsychotics. Moreover, we identified 31 potentially actionable novel variants within Very Important Pharmacogenes (VIPs), five of which were common among the Tiwi. We further detected important clinical implications for the drugs involved with cancer pharmacogenomics such as thiopurines and tamoxifen, immunosuppressants like tacrolimus and certain antivirals used in the hepatitis C treatment due to potential differences in their metabolic processing. Conclusion: The pharmacogenomic profiles generated in our study demonstrate the utility of pre-emptive PGx testing and have the potential to help guide the development and application of precision therapeutic strategies tailored to Tiwi Indigenous patients. Our research provides valuable insights on pre-emptive PGx testing and the feasibility of its use in ancestrally diverse populations, emphasizing the need for increased diversity and inclusivity in PGx investigations. Frontiers Media S.A. 2023-05-22 /pmc/articles/PMC10241071/ /pubmed/37284308 http://dx.doi.org/10.3389/fphar.2023.1180640 Text en Copyright © 2023 Samarasinghe, Hoy, Jadhao, McMorran, Guchelaar and Nagaraj. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Samarasinghe, Sumudu Rangika
Hoy, Wendy
Jadhao, Sudhir
McMorran, Brendan J.
Guchelaar, Henk-Jan
Nagaraj, Shivashankar H.
The pharmacogenomic landscape of an Indigenous Australian population
title The pharmacogenomic landscape of an Indigenous Australian population
title_full The pharmacogenomic landscape of an Indigenous Australian population
title_fullStr The pharmacogenomic landscape of an Indigenous Australian population
title_full_unstemmed The pharmacogenomic landscape of an Indigenous Australian population
title_short The pharmacogenomic landscape of an Indigenous Australian population
title_sort pharmacogenomic landscape of an indigenous australian population
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241071/
https://www.ncbi.nlm.nih.gov/pubmed/37284308
http://dx.doi.org/10.3389/fphar.2023.1180640
work_keys_str_mv AT samarasinghesumudurangika thepharmacogenomiclandscapeofanindigenousaustralianpopulation
AT hoywendy thepharmacogenomiclandscapeofanindigenousaustralianpopulation
AT jadhaosudhir thepharmacogenomiclandscapeofanindigenousaustralianpopulation
AT mcmorranbrendanj thepharmacogenomiclandscapeofanindigenousaustralianpopulation
AT guchelaarhenkjan thepharmacogenomiclandscapeofanindigenousaustralianpopulation
AT nagarajshivashankarh thepharmacogenomiclandscapeofanindigenousaustralianpopulation
AT samarasinghesumudurangika pharmacogenomiclandscapeofanindigenousaustralianpopulation
AT hoywendy pharmacogenomiclandscapeofanindigenousaustralianpopulation
AT jadhaosudhir pharmacogenomiclandscapeofanindigenousaustralianpopulation
AT mcmorranbrendanj pharmacogenomiclandscapeofanindigenousaustralianpopulation
AT guchelaarhenkjan pharmacogenomiclandscapeofanindigenousaustralianpopulation
AT nagarajshivashankarh pharmacogenomiclandscapeofanindigenousaustralianpopulation