Addressing Ancestry and Sex Bias in Pharmacogenomics

被引:14
作者
Corpas, Manuel [1 ,2 ]
Siddiqui, Moneeza K. [3 ]
Soremekun, Opeyemi [4 ,5 ]
Mathur, Rohini [6 ]
Gill, Dipender [7 ]
Fatumo, Segun [4 ,5 ,8 ]
机构
[1] Univ Westminster, Sch Life Sci, London, England
[2] Univ Cambridge, Cambridge Precis Med Ltd, IdeaSpace, Biomed Innovat Hub, Cambridge, England
[3] Univ Dundee, Sch Med, Div Populat Hlth & Genom, Dundee, Scotland
[4] Res Grp Med Res Council, African Computat Genom TACG Res Grp, Uganda Virus Res Inst, Entebbe, Uganda
[5] London Sch Hyg Trop Med, Uganda Res Unit, Entebbe, Uganda
[6] Queen Mary Univ London, Wolfson Inst Populat Hlth, London, England
[7] Imperial Coll London, Sch Publ Hlth, Dept Epidemiol & Biostat, London, England
[8] London Sch Hyg & Trop Med, Dept Noncommun Dis Epidemiol, London, England
基金
英国惠康基金;
关键词
pharmacogenomics; underrepresented populations; alleles; haplotypes; biogeographical regions; diversity genomics; CLINICAL-TRIALS; DIVERSITY; GENDER; PARTICIPATION; KNOWLEDGE; GENOMICS; MORPHINE; CYP2D6; HEALTH; WOMEN;
D O I
10.1146/annurev-pharmtox-030823-111731
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
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 showcase CYP2D6, 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.
引用
收藏
页码:53 / 64
页数:12
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