Evidence map›Paper›PMID 33110249›Full record

ArticleThe pharmacogenomics journal2021

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

Guilherme Suarez-Kurtz

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In one paragraph

Article in The pharmacogenomics journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Black EquaLity in OCD NeuroGenomics (BELONG): Study Protocol.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Genetic Variations of theJournal of personalized medicine · 2022
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Guilherme Suarez-KurtzCoordenação de Pesquisa, Instituto Nacional do Câncer, Rio de Janeiro, Brazil. kurtz@inca.gov.br.ORCID http://orcid.org/0000-0002-1115-8319
Instituto Nacional de Câncer - INCA · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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).

Indexed as

AmericasBlack PeopleBrazilCohort StudiesGenotypeHumansPharmacogeneticsPharmacogenomic TestingPolymorphism, Single NucleotideWhite People

Identifiers

PMID33110249
OpenAlexW3094846795

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.