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Addressing Ancestry and Sex Bias in Pharmacogenomics.
Corpas, Manuel; Siddiqui, Moneeza K; Soremekun, Opeyemi; Mathur, Rohini; Gill, Dipender; Fatumo, Segun.
Affiliation
  • Corpas M; School of Life Sciences, University of Westminster, London, United Kingdom.
  • Siddiqui MK; Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, United Kingdom.
  • Soremekun O; Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom.
  • Mathur R; African Computational Genomics (TACG) Research Group, Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda.
  • Gill D; Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.
  • Fatumo S; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Annu Rev Pharmacol Toxicol ; 64: 53-64, 2024 Jan 23.
Article in En | MEDLINE | ID: mdl-37450899
ABSTRACT
The association of an individual's genetic makeup with their response to drugs is referred to as pharmacogenomics. By understanding the relationship between genetic variants and drug efficacy or toxicity, we are able to optimize pharmacological therapy according to an individual's genotype. Pharmacogenomics research has historically suffered from bias and underrepresentation of people from certain ancestry groups and of the female sex. These biases can arise from factors such as drugs and indications studied, selection of study participants, and methods used to collect and analyze data. To examine the representation of biogeographical populations in pharmacogenomic data sets, we describe individuals involved in gene-drug response studies from PharmGKB, a leading repository of drug-gene annotations, and showcaseCYP2D6, a gene that metabolizes approximately 25% of all prescribed drugs. We also show how the historical underrepresentation of females in clinical trials has led to significantly more adverse drug reactions in females than in males.
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Full text: 1 Database: MEDLINE Main subject: Drug-Related Side Effects and Adverse Reactions / Sexism Limits: Female / Humans / Male Language: En Year: 2024 Type: Article

Full text: 1 Database: MEDLINE Main subject: Drug-Related Side Effects and Adverse Reactions / Sexism Limits: Female / Humans / Male Language: En Year: 2024 Type: Article