Evidence map›Paper›PMID 34626111›Full record

ArticleMolecular biology and evolution2022

Detecting Selection in Multiple Populations by Modeling Ancestral Admixture Components.

Jade Yu Cheng, Aaron J Stern, Fernando Racimo, Rasmus Nielsen

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
  2. Article
  3. Whole Genome Sequencing of the Moruga Hill Rice (Biotech (Basel (Switzerland)) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Global patterns of natural selection inferred using ancient DNA.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Article
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  18. Natural selection has driven the recurrent loss of an immunity gene that protectsProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. Article
  20. 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

4 authors.

Jade Yu ChengLundbeck GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
Aaron J SternGraduate Group in Computational Biology, University of California, Berkeley, Berkeley, CA, USA.
Fernando RacimoLundbeck GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
Rasmus NielsenLundbeck GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-0513-6591

Funding

Enabling Precision Genomics Using Adaptive VariationR01GM138634 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI NIELSEN, RASMUS · 2020 to 2023
$1.7M
NIGMS NIH HHS R01 GM138634
6 · The paper itself

Abstract

One of the most powerful and commonly used approaches for detecting local adaptation in the genome is the identification of extreme allele frequency differences between populations. In this article, we present a new maximum likelihood method for finding regions under positive selection. It is based on a Gaussian approximation to allele frequency changes and it incorporates admixture between populations. The method can analyze multiple populations simultaneously and retains power to detect selection signatures specific to ancestry components that are not representative of any extant populations. Using simulated data, we compare our method to related approaches, and show that it is orders of magnitude faster than the state-of-the-art, while retaining similar or higher power for most simulation scenarios. We also apply it to human genomic data and identify loci with extreme genetic differentiation between major geographic groups. Many of the genes identified are previously known selected loci relating to hair pigmentation and morphology, skin, and eye pigmentation. We also identify new candidate regions, including various selected loci in the Native American component of admixed Mexican-Americans. These involve diverse biological functions, such as immunity, fat distribution, food intake, vision, and hair development.

Indexed as

Genetics, PopulationGenome, HumanComputer SimulationGene FrequencyGenomicsHumansPolymorphism, Single NucleotideSelection, Geneticadmixturehuman evolutionpopulation structurepositive selectionselective sweeps

Identifiers

PMID34626111
PMCPMC8763095

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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.