Pharmacogenomic landscape of COVID-19 therapies from Indian population genomes.
S SahanaAmbily SivadasMohit ManglaAbhinav JainRahul C BhoyarKavita PandhareAnushree MishraDisha SharmaMohamed ImranVigneshwar SenthivelMohit Kumar DivakarMercy RophinaBani JollyArushi BatraSumit SharmaSanjay SiwachArun G JadhaoNikhil V PalandeGanga Nath JhaNishat AshrafiPrashant Kumar MishraA K VidhyaSuman JainDebasis DashNachimuthu Senthil KumarAndrew VanlallawmaRanjan Jyoti SarmaLalchhandama ChhakchhuakShantaraman KalyanaramanRadha MahadevanSunitha KandasamyPabitha DeviRaskin Erusan RajagopalJ Ezhil RamyaP Nirmala DeviAnjali BajajVishu GuptaSamatha MathewSangam GoswamiSavinitha PrakashKandarp JoshiMeya KumlaS SreedeviDevarshi GajjarRonibala SoraishamRohit YadavYumnam Silla DeviAayush GuptaMitali MukerjiSivaprakash RamalingamB K BinukumarSridhar SivasubbuVinod ScariaPublished in: Pharmacogenomics (2021)
Aim: Numerous drugs are being widely prescribed for COVID-19 treatment without any direct evidence for the drug safety/efficacy in patients across diverse ethnic populations. Materials & methods: We analyzed whole genomes of 1029 Indian individuals (IndiGen) to understand the extent of drug-gene (pharmacogenetic), drug-drug and drug-drug-gene interactions associated with COVID-19 therapy in the Indian population. Results: We identified 30 clinically significant pharmacogenetic variants and 73 predicted deleterious pharmacogenetic variants. COVID-19-associated pharmacogenes were substantially overlapped with those of metabolic disorder therapeutics. CYP3A4, ABCB1 and ALB are the most shared pharmacogenes. Fifteen COVID-19 therapeutics were predicted as likely drug-drug interaction candidates when used with four CYP inhibitor drugs. Conclusion: Our findings provide actionable insights for future validation studies and improved clinical decisions for COVID-19 therapy in Indians.