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在美洲的混合人群中,药物遗传学检测对人群的影响。

Population impact of pharmacogenetic tests in admixed populations across the Americas.

机构信息

Coordenação de Pesquisa, Instituto Nacional do Câncer, Rio de Janeiro, Brazil.

Rede Nacional de Farmacogenômica, Rio de Janeiro, Brazil.

出版信息

Pharmacogenomics J. 2021 Apr;21(2):216-221. doi: 10.1038/s41397-020-00200-w. Epub 2020 Oct 27.

Abstract

The current population of the Americas (~1 billion people) is highly heterogeneous as a result of five centuries of admixture between three major parental populations, namely Native Amerindians, Europeans, and subSaharan Africans. This heterogeneity has important pharmacogenetic (PGx) implications. The present study explores this issue with respect to the population impact of PGx tests listed in the CPIC and DWPG guidelines for the cancer chemotherapeutic agents fluoropyrimidines, irinotecan, and thiopurines. Population impact was assessed by the number of individuals needed to genotype (NNG) and to treat [NNT] in order to prevent one additional adverse effect. The 1000 Genomes Project database was accessed to obtain genotypes for the relevant PGx markers and to estimate individual proportions of Native, European, and African ancestry for six recently admixed populations across the Americas. The ancestry proportions were then employed to devise three sub-cohorts, denoted NAT, EUR, and AFR, in which one of the three major ancestral roots predominates largely (8 to 30-fold) over the other two. Minor allele frequency (MAF) of NUDT15 rs116855232, TPMT rs1800460, and UGT1A1 rs887829 differed significantly across the three sub-cohorts, whereas no difference was observed for TPMT rs1142345 and 1800462, and the four DPYD variants interrogated. The frequency of combined TPMT/NUDT and UGT1A1, but not DPD, metabolic phenotypes differed significantly among the sub-cohorts. The NNGs for the drug/sub-cohorts pairs, ranged from 12 (irinotecan/UGT1A1 in EUR) to 360 (fluoropyrimidines/DPYD in NAT). Differences in MAF of the interrogated variants and consequently in the distribution of metabolic phenotypes, plus the variable individual proportions of biogeographical ancestry concur to the 30-fold range of NNGs for the PGx tests, across the sub-cohorts. This large variation is likely to influence the perceived benefits and the clinical adoption of PGx screening for the chemotherapeutic agents investigated. This is of especial concern for fluoropyrimidines, in view of the large NNGs observed in the study sub-cohorts (NNG = 176-360) and confirmed in cancer patients from Brazil (NNG = 312).

摘要

当前,由于五个世纪以来美洲原住民、欧洲人和撒哈拉以南非洲人这三大主要祖先群体之间的混合,美洲的人口高度混杂。这种混杂对药物遗传学(PGx)具有重要意义。本研究探讨了 CPIC 和 DWPG 癌症化疗药物氟嘧啶、伊立替康和硫嘌呤指南中列出的 PGx 检测对人口的影响。通过基因分型(NNG)和治疗(NNT)所需的人数来评估人口影响,以预防一个额外的不良影响。访问了 1000 基因组计划数据库,以获得相关 PGx 标记的基因型,并估计六个最近在美洲混合的人群中个体的美洲原住民、欧洲和非洲血统比例。然后,使用这些血统比例设计了三个亚群,分别表示 NAT、EUR 和 AFR,其中三个主要祖先根中的一个在很大程度上(8 到 30 倍)占主导地位。NUDT15 rs116855232、TPMT rs1800460 和 UGT1A1 rs887829 的次要等位基因频率(MAF)在三个亚群中差异显著,而 TPMT rs1142345 和 1800462 以及四个 DPYD 变体的 MAF 则没有差异。药物/亚群组合的 TPMT/NUDT 和 UGT1A1 代谢表型的频率,但 DPD 代谢表型的频率在亚群之间差异显著。药物/亚群对的 NNG 范围从 12(伊立替康/UGT1A1 在 EUR 中)到 360(氟嘧啶/DPYD 在 NAT 中)。所研究的变体的 MAF 差异以及代谢表型的分布差异,加上生物地理血统个体比例的变化,导致了 PGx 检测在亚群之间的 NNG 范围为 30 倍。这种大的变化很可能影响到对所研究化疗药物的 PGx 筛查的收益和临床应用的看法。鉴于研究亚群(NNG=176-360)和巴西癌症患者(NNG=312)观察到的氟嘧啶的大 NNG,这一点尤其令人关注。

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