Evidence map›Paper›PMID 30185426›Full record

ArticleG3 (Bethesda, Md.)2018

Estimating Asian Contribution to the Brazilian Population: A New Application of a Validated Set of 61 Ancestry Informative Markers.

Roberta B Andrade, Marcos A T Amador, Giovanna C Cavalcante, Luciana P C Leitão, Marianne R Fernandes, Antônio A C Modesto, Fabiano C Moreira, André S Khayat, Paulo P Assumpção, Ândrea Ribeiro-Dos-Santos and 2 more

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 1 institution in 1 country.

Roberta B AndradeNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Pará, Brazil, 66073-005.
Marcos A T AmadorLaboratório de Genética Humana e Médica, Universidade Federal do Pará, Belém, Pará, Brazil, 66075-970.
Giovanna C CavalcanteLaboratório de Genética Humana e Médica, Universidade Federal do Pará, Belém, Pará, Brazil, 66075-970.
Luciana P C LeitãoNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Pará, Brazil, 66073-005.
Marianne R FernandesNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Pará, Brazil, 66073-005.
Antônio A C ModestoNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Pará, Brazil, 66073-005.
Fabiano C MoreiraNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Pará, Brazil, 66073-005.
André S KhayatNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Pará, Brazil, 66073-005.
Paulo P AssumpçãoNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Pará, Brazil, 66073-005.
Ândrea Ribeiro-Dos-SantosNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Pará, Brazil, 66073-005.
Sidney SantosNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Pará, Brazil, 66073-005.
Ney P C SantosNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Pará, Brazil, 66073-005 npcsantos@yahoo.com.br.
Universidade Federal do Pará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimates of different ancestral proportions in admixed populations are very important in population genetics studies, especially for the detection of population substructure effects in studies of case-control associations. Brazil is one of the most heterogeneous countries in the world, both from a socio-cultural and a genetic point of view. In this work, we investigated a previously developed set of 61 ancestry informative markers (AIM), aiming to estimate the proportions of four different ancestral groups (African, European, Native American and Asian) in Brazilian populations. To the best of our knowledge, this is the first study to use a set of AIM to investigate the genetic contribution of all four main parental populations to the Brazilian population, including Asian contribution. All selected markers were genotyped through multiplex PCR and capillary electrophoresis. The set was able to successfully differentiate the four ancestral populations (represented by 939 individuals) and identify their genetic contributions to the Brazilian population. In addition, it was used to estimate individual interethnic admixture of 1050 individuals from the Southeast region of Brazil and it showed that these individuals present a higher European ancestry contribution, followed by African, Asian and Native American ancestry contributions. Therefore, the 61 AIM set has proved to be a valuable tool to estimate individual and global ancestry proportions in populations mainly formed by these four groups. Our findings highlight the importance of using sets of AIM to evaluate population substructure in studies carried in admixed populations, in order to avoid misinterpretation of results.

Indexed as

BrazilElectrophoresis, CapillaryGenetic MarkersGenotypeHumansPolymerase Chain ReactionRacial GroupsGenetic MarkersAdmixtureAncestry-informative markersAsianInsertion-deletion polymorphismsPopulation substructure

Identifiers

PMID30185426
PMCPMC6222592
OpenAlexW2895142914

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.