Pharmacogenomic analysis of a genetically distinct Indigenous population.
Arvind Jaya ShankarSudhir JadhaoWendy HoySimon J FooteHardip R PatelVinod ScariaBrendan J McMorranShivashankar H NagarajPublished in: The pharmacogenomics journal (2021)
Indigenous Australians face a disproportionately severe burden of chronic disease relative to other Australians, with elevated rates of morbidity and mortality. While genomics technologies are slowly gaining momentum in personalised treatments for many, a lack of pharmacogenomic research in Indigenous peoples could delay adoption. Appropriately implementing pharmacogenomics in clinical care necessitates an understanding of the frequencies of pharmacologically relevant genetic variants within Indigenous populations. We analysed whole-genome sequence data from 187 individuals from the Tiwi Islands and characterised the pharmacogenomic landscape of this population. Specifically, we compared variant profiles and allelic distributions of previously described pharmacologically significant genes and variants with other population groups. We identified 22 translationally relevant pharmacogenomic variants and 18 clinically actionable guidelines with implications for drug dosing and treatment of conditions including heart disease, diabetes and cancer. We specifically observed increased poor and intermediate metabolizer phenotypes in the CYP2C9 (PM:19%, IM:44%) and CYP2C19 (PM:18%, IM:44%) genes.
Keyphrases
- clinical decision support
- electronic health record
- particulate matter
- air pollution
- copy number
- genome wide
- type diabetes
- cardiovascular disease
- quality improvement
- single cell
- heavy metals
- adverse drug
- gene expression
- palliative care
- adipose tissue
- polycyclic aromatic hydrocarbons
- papillary thyroid
- young adults
- big data
- squamous cell carcinoma
- skeletal muscle
- clinical practice
- bioinformatics analysis
- machine learning
- risk assessment
- water soluble
- pain management
- glycemic control
- genome wide analysis
- health insurance
- lymph node metastasis