Evidence map›Paper›PMID 36481695›Full record

ArticleScientific reports2022

Challenges in selecting admixture models and marker sets to infer genetic ancestry in a Brazilian admixed population.

Luciana Maia Escher, Michel S Naslavsky, Marília O Scliar, Yeda A O Duarte, Mayana Zatz, Kelly Nunes, Silviene F Oliveira

Abstract read
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Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Frequencies of anInternational journal of molecular sciences · 2024
    Article
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  7. Human N-acetyltransferase 2 (Frontiers in pharmacology · 2023
    Article
  8. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Luciana Maia EscherHuman Genetics Laboratory, Institute of Biological Sciences, University of Brasilia, Brasília, DF, Brazil.
Michel S NaslavskyDepartment of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, SP, Brazil.
Marília O ScliarHuman Genome and Stem Cell Research Center, University of São Paulo, São Paulo, SP, Brazil.
Yeda A O DuarteMedical-Surgical Nursing Department, School of Nursing, University of São Paulo, São Paulo, SP, Brazil.
Mayana ZatzDepartment of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, SP, Brazil.
Kelly Nunes *Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, SP, Brazil. knunesbio@gmail.com.
Silviene F Oliveira *Human Genetics Laboratory, Institute of Biological Sciences, University of Brasilia, Brasília, DF, Brazil. silviene.oliveira@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inference of genetic ancestry plays an increasingly prominent role in clinical, population, and forensic genetics studies. Several genotyping strategies and analytical methodologies have been developed over the last few decades to assign individuals to specific biogeographic regions. However, despite these efforts, ancestry inference in populations with a recent history of admixture, such as those in Brazil, remains a challenge. In admixed populations, proportion and components of genetic ancestry vary on different levels: (i) between populations; (ii) between individuals of the same population, and (iii) throughout the individual's genome. The present study evaluated 1171 admixed Brazilian samples to compare the genetic ancestry inferred by tri-/tetra-hybrid admixture models and evaluated different marker sets from those with small numbers of ancestry informative markers panels (AIMs), to high-density SNPs (HDSNP) and whole-genome-sequence (WGS) data. Analyses revealed greater variation in the correlation coefficient of ancestry components within and between admixed populations, especially for minority ancestral components. We also observed positive correlation between the number of markers in the AIMs panel and HDSNP/WGS. Furthermore, the greater the number of markers, the more accurate the tri-/tetra-hybrid admixture models.

Indexed as

Genetics, PopulationBrazilHumansMinority GroupsPolymorphism, Single NucleotideSouth American PeopleWhole Genome Sequencing

Identifiers

PMID36481695
PMCPMC9731996

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