“…Initially, genetic exploration in PD aimed to identify causative genetics or the genetic architecture of the condition, with first discoveries focused on the autosomal dominant and recessive mutations in PD (SCNA, LRRK2, VPS35 and PINK1, DJ-1, Parkin genes) and environment-gene interactions in the pathobiology of PD (Lill, 2016 ). The work has since extended in to pharmacogenetic profiling in PD, especially regarding the genetic basis of levodopa induced complications to determine whether certain gene polymorphisms can increase an individual's chance of experiencing ineffective levodopa treatment (Espay et al, 2018 ; Kalinderi et al, 2019 ; Falla et al, 2021 ; Soraya et al, 2022 ). This is supported by improved bioinformatics tools such as the PharmCAT (Pharmacogenomics Clinical Annotation Tool) (Klein and Ritchie, 2018 ), or pharmacogenetic and pharmacogenomic databases such as the Pharmacogenomics Knowledge Base (PharmGKB) (Hewett et al, 2002 ), and the CPIC database (Relling and Klein, 2011 ) that provide peer-reviewed information on gene/drug pairs.…”