Sep 2026· Clinical and Translational Oncology· 0 citations· 25 references
Medicine
TL;DR
Amazonian Indigenous populations exhibit substantial pharmacogenomic diversity in genes relevant to Berlin-Frankfurt-Münster-based therapy and these findings identify candidate variants for functional and clinical validation and reinforce the importance of including underrepresented populations in pharmacogenomic research.
Abstract
Purpose
This study aimed to characterize pharmacogenomic variation in genes involved in the metabolism and transport of drugs used in Berlin-Frankfurt-Münster-based therapy in Amazonian Indigenous individuals and to compare allele frequencies with major continental populations.
METHODS/PATIENTS
Whole-exome sequencing data previously generated from 64 healthy Indigenous individuals from 12 Amazonian ethnic groups were analyzed. A total of 120 genes associated with drugs used in Berlin-Frankfurt-Münster protocols were selected. Variants were annotated and filtered using bioinformatic quality-control criteria, and allele frequencies were compared with African, Admixed American, East Asian, European, and South Asian populations from the 1000 Genomes Project. Multidimensional scaling was used to assess population-level genetic similarity.
Results
After quality control, 648 variants were identified. Twenty-eight variants were observed exclusively in the Indigenous study population, including four nonsynonymous coding variants with moderate predicted impact. Significant allele-frequency differences were observed for ADA rs11555566, CBR3 rs881711, and CYP2B6 rs3745274; rs881711 and rs3745274 differed from all five reference populations. Multidimensional scaling showed a distinct Indigenous pharmacogenomic profile, with greater similarity to the Admixed American population.
Conclusions
Amazonian Indigenous populations exhibit substantial pharmacogenomic diversity in genes relevant to Berlin-Frankfurt-Münster-based therapy. These findings identify candidate variants for functional and clinical validation and reinforce the importance of including underrepresented populations in pharmacogenomic research.
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