Towards Evidence-Based Implementation of Pharmacogenomics in Southern Africa: Comorbidities and Polypharmacy Profiles across Diseases

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dc.contributor.authorSoko, Nyarai Desiree
dc.contributor.authorMuyambo, Sarudzai
dc.contributor.authorDandara, Michelle T. L.
dc.contributor.authorKampira, Elizabeth
dc.contributor.authorBlom, Dirk
dc.contributor.authorJones, Erika S. W.
dc.contributor.authorRayner, Brian
dc.contributor.authorShamley, Delva
dc.contributor.authorSinxadi, Phumla
dc.contributor.authorDandara, Collet
dc.date.accessioned2023-09-14T12:27:33Z
dc.date.available2023-09-14T12:27:33Z
dc.date.issued2023-07-26
dc.date.updated2023-08-25T12:37:03Z
dc.description.abstractPharmacogenomics may improve patient care by guiding drug selection and dosing; however, this requires prior knowledge of the pharmacogenomics of drugs commonly used in a specific setting. The aim of this study was to identify a preliminary set of pharmacogenetic variants important in Southern Africa. We describe comorbidities in 3997 patients from Malawi, South Africa, and Zimbabwe. These patient cohorts were included in pharmacogenomic studies of anticoagulation, dyslipidemia, hypertension, HIV and breast cancer. The 20 topmost prescribed drugs in this population were identified. Using the literature, a list of pharmacogenes vital in the response to the top 20 drugs was constructed leading to drug–gene pairs potentially informative in translation of pharmacogenomics. The most reported morbidity was hypertension (58.4%), making antihypertensives the most prescribed drugs, particularly amlodipine. Dyslipidemia occurred in 31.5% of the participants, and statins were the most frequently prescribed as cholesterol-lowering drugs. HIV was reported in 20.3% of the study participants, with lamivudine/stavudine/efavirenz being the most prescribed antiretroviral combination. Based on these data, pharmacogenes of immediate interest in Southern African populations include ABCB1, CYP2B6, CYP2C9, CYP2C19, CYP2D6 CYP3A4, CYP3A5, SLC22A1, SLCO1B1 and UGT1A1. Variants in these genes are a good starting point for pharmacogenomic translation programs in Southern Africa.
dc.identifierdoi: 10.3390/jpm13081185
dc.identifier.apacitationSoko, N. D., Muyambo, S., Dandara, Michelle T. L., Kampira, E., Blom, D., Jones, Erika S. W., ... Dandara, C. (2023). Towards Evidence-Based Implementation of Pharmacogenomics in Southern Africa: Comorbidities and Polypharmacy Profiles across Diseases. <i>Journal of Personalized Medicine</i>, 13(8), 1185. http://hdl.handle.net/11427/38605en_ZA
dc.identifier.chicagocitationSoko, Nyarai Desiree, Sarudzai Muyambo, Michelle T. L. Dandara, Elizabeth Kampira, Dirk Blom, Erika S. W. Jones, Brian Rayner, Delva Shamley, Phumla Sinxadi, and Collet Dandara "Towards Evidence-Based Implementation of Pharmacogenomics in Southern Africa: Comorbidities and Polypharmacy Profiles across Diseases." <i>Journal of Personalized Medicine</i> 13, 8. (2023): 1185. http://hdl.handle.net/11427/38605en_ZA
dc.identifier.citationSoko, N.D., Muyambo, S., Dandara, Michelle T. L., Kampira, E., Blom, D., Jones, Erika S. W., Rayner, B. & Shamley, D. et al. 2023. Towards Evidence-Based Implementation of Pharmacogenomics in Southern Africa: Comorbidities and Polypharmacy Profiles across Diseases. <i>Journal of Personalized Medicine.</i> 13(8):1185. http://hdl.handle.net/11427/38605en_ZA
dc.identifier.risTY - Journal Article AU - Soko, Nyarai Desiree AU - Muyambo, Sarudzai AU - Dandara, Michelle T. L. AU - Kampira, Elizabeth AU - Blom, Dirk AU - Jones, Erika S. W. AU - Rayner, Brian AU - Shamley, Delva AU - Sinxadi, Phumla AU - Dandara, Collet AB - Pharmacogenomics may improve patient care by guiding drug selection and dosing; however, this requires prior knowledge of the pharmacogenomics of drugs commonly used in a specific setting. The aim of this study was to identify a preliminary set of pharmacogenetic variants important in Southern Africa. We describe comorbidities in 3997 patients from Malawi, South Africa, and Zimbabwe. These patient cohorts were included in pharmacogenomic studies of anticoagulation, dyslipidemia, hypertension, HIV and breast cancer. The 20 topmost prescribed drugs in this population were identified. Using the literature, a list of pharmacogenes vital in the response to the top 20 drugs was constructed leading to drug&ndash;gene pairs potentially informative in translation of pharmacogenomics. The most reported morbidity was hypertension (58.4%), making antihypertensives the most prescribed drugs, particularly amlodipine. Dyslipidemia occurred in 31.5% of the participants, and statins were the most frequently prescribed as cholesterol-lowering drugs. HIV was reported in 20.3% of the study participants, with lamivudine/stavudine/efavirenz being the most prescribed antiretroviral combination. Based on these data, pharmacogenes of immediate interest in Southern African populations include <i>ABCB1</i>, <i>CYP2B6</i>, <i>CYP2C9</i>, <i>CYP2C19</i>, <i>CYP2D6</i>, <i>CYP3A4</i>, <i>CYP3A5</i>, <i>SLC22A1</i>, <i>SLCO1B1</i> and <i>UGT1A1</i>. Variants in these genes are a good starting point for pharmacogenomic translation programs in Southern Africa. DA - 2023-07-26 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PY - 2023 T1 - Towards Evidence-Based Implementation of Pharmacogenomics in Southern Africa: Comorbidities and Polypharmacy Profiles across Diseases TI - Towards Evidence-Based Implementation of Pharmacogenomics in Southern Africa: Comorbidities and Polypharmacy Profiles across Diseases UR - http://hdl.handle.net/11427/38605 ER -en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/38605
dc.identifier.vancouvercitationSoko ND, Muyambo S, Dandara Michelle T L, Kampira E, Blom D, Jones Erika S W, et al. Towards Evidence-Based Implementation of Pharmacogenomics in Southern Africa: Comorbidities and Polypharmacy Profiles across Diseases. Journal of Personalized Medicine. 2023;13(8):1185. http://hdl.handle.net/11427/38605.en_ZA
dc.publisherMultidisciplinary Digital Publishing Institute
dc.publisher.departmentMedicine
dc.publisher.facultyHealth Science
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceJournal of Personalized Medicine
dc.source.journalissue8
dc.source.journalvolume13
dc.source.pagination1185
dc.source.urihttps://www.mdpi.com/
dc.titleTowards Evidence-Based Implementation of Pharmacogenomics in Southern Africa: Comorbidities and Polypharmacy Profiles across Diseases
dc.typeJournal Article
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