Evidence map›Paper›PMID 34203440›Full record

ReviewInternational journal of molecular sciences2021

Genetic Ancestry Inference and Its Application for the Genetic Mapping of Human Diseases.

Eva Suarez-Pajes, Ana Díaz-de Usera, Itahisa Marcelino-Rodríguez, Beatriz Guillen-Guio, Carlos Flores

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Gene variants, oxidative stress and inflammation in Colombian populationsBiomedica : revista del Instituto Nacional de Salud · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Fast and accurate local ancestry inference with Recomb-Mix.bioRxiv : the preprint server for biology · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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.

Eva Suarez-PajesResearch Unit, Hospital Universitario Nuestra Señora de Candelaria, 38010 Santa Cruz de Tenerife, Spain.ORCID 0000-0003-1454-6285
Ana Díaz-de UseraGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain.ORCID 0000-0002-5001-3673
Itahisa Marcelino-RodríguezResearch Unit, Hospital Universitario Nuestra Señora de Candelaria, 38010 Santa Cruz de Tenerife, Spain.
Beatriz Guillen-GuioResearch Unit, Hospital Universitario Nuestra Señora de Candelaria, 38010 Santa Cruz de Tenerife, Spain.ORCID 0000-0002-3703-1738
Carlos FloresResearch Unit, Hospital Universitario Nuestra Señora de Candelaria, 38010 Santa Cruz de Tenerife, Spain.ORCID 0000-0001-5352-069X

Funding

European Regional Development Fund OA17/008Instituto de Salud Carlos III PI14/00844, PI17/00610, CD19/00231, PI20/00876Spanish Ministry of Education and Vocational Education FPU16/01435
6 · The paper itself

Abstract

Admixed populations arise when two or more ancestral populations interbreed. As a result of this admixture, the genome of admixed populations is defined by tracts of variable size inherited from these parental groups and has particular genetic features that provide valuable information about their demographic history. Diverse methods can be used to derive the ancestry apportionment of admixed individuals, and such inferences can be leveraged for the discovery of genetic loci associated with diseases and traits, therefore having important biomedical implications. In this review article, we summarize the most common methods of global and local genetic ancestry estimation and discuss the use of admixture mapping studies in human diseases.

Indexed as

Biomedical ResearchGenetic LociGenotypeHigh-Throughput Nucleotide SequencingHumansadmixture mappingancestry informative markersgenetic ancestrynext-generation sequencing

Identifiers

PMID34203440
PMCPMC8269095

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.