Evidence map›Paper›PMID 33441860›Full record

ArticleScientific reports2021

Identification of ancestry proportions in admixed groups across the Americas using clinical pharmacogenomic SNP panels.

Guilherme Debortoli, Gilderlanio Santana de Araujo, Cesar Fortes-Lima, Esteban J Parra, Guilherme Suarez-Kurtz

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
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  4. Single Nucleotide Variants as Proxies forFrontiers in pharmacology · 2022
    Article
  5. 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

5 authors at 4 institutions in 3 countries.

Guilherme DebortoliDepartment of Anthropology, University of Toronto at Mississauga, Mississauga, ON, Canada.
Gilderlanio Santana de AraujoProgram in Genetics and Molecular Biology, Federal University of Pará, Belém, Brazil.
Cesar Fortes-LimaSub-Department of Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.
Esteban J ParraDepartment of Anthropology, University of Toronto at Mississauga, Mississauga, ON, Canada. esteban.parra@utoronto.ca.
Guilherme Suarez-KurtzInstituto Nacional de Câncer and Rede Nacional de Farmacogenética, Rio de Janeiro, Brazil. kurtz@inca.gov.br.
University of Toronto · CAInstituto Nacional do Câncer · BRUniversidade Federal do Pará · BRUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the performance of three PGx panels to estimate biogeographical ancestry: the DMET panel, and the VIP and Preemptive PGx panels described in the literature. Our analysis indicate that the three panels capture quite well the individual variation in admixture proportions observed in recently admixed populations throughout the Americas, with the Preemptive PGx and DMET panels performing better than the VIP panel. We show that these panels provide reliable information about biogeographic ancestry and can be used to guide the implementation of PGx clinical decision-support (CDS) tools. We also report that using these panels it is possible to control for the effects of population stratification in association studies in recently admixed populations, as exemplified with a warfarin dosing GWA study in a sample from Brazil.

Indexed as

AmericasBrazilGenetics, PopulationGenome, HumanGenome-Wide Association StudyHumansPharmacogeneticsPolymorphism, Single Nucleotide

Identifiers

PMID33441860
PMCPMC7806998
OpenAlexW3119663458

What OpenQuestion holds

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LicenceCC BY
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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.