Evidence map›Paper›PMID 25144706›Full record

ArticlePLoS genetics2014

A model-based approach for identifying signatures of ancient balancing selection in genetic data.

Michael DeGiorgio, Kirk E Lohmueller, Rasmus Nielsen

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 1 pooled it
15.6field-weighted citation impact, top 1% 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

100 citing papers in PubMed, 1 synthesis or guideline pooled it, 213 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. A century of theories of balancing selection.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  8. Long-term evolutionary persistence of a cryptic color polymorphism in frogs.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Unravelling Heterozygosity-Rich Regions in the Holstein Genome.Animals : an open access journal from MDPI · 2025
    Article
  10. Article
  11. Article
  12. Computational Genomics and Its Applications to Anthropological Questions.American journal of biological anthropology · 2024
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Full resolution HLA and KIR genes annotation for human genome assemblies.bioRxiv : the preprint server for biology · 2024
    Article
  19. Article
  20. Article

40 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 2 countries.

Michael DeGiorgioDepartment of Biology, Pennsylvania State University, University Park, Pennsylvania, United States of America.
Kirk E LohmuellerDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States of America.
Rasmus NielsenDepartment of Integrative Biology, University of California, Berkeley, Berkeley, California, United States of America; Department of Statistics, University of California, Berkeley, Berkeley, California, United States of America; Department of Biology, University of Copenhagen, Copenhagen, Denmark.
Pennsylvania State University · USUniversity of California, Los Angeles · USUniversity of Copenhagen · DK

Funding

Population Genetic Inferences From Dense Genotype DataR01HG003229 · NHGRI · CORNELL UNIVERSITY ITHACA · PI BUSTAMANTE, CARLOS DANIEL, CLARK, ANDREW G · 2004 to 2013
$4.8M
NHGRI NIH HHS 3R01HG03229-07NHGRI NIH HHS R01 HG003229
6 · The paper itself

Abstract

While much effort has focused on detecting positive and negative directional selection in the human genome, relatively little work has been devoted to balancing selection. This lack of attention is likely due to the paucity of sophisticated methods for identifying sites under balancing selection. Here we develop two composite likelihood ratio tests for detecting balancing selection. Using simulations, we show that these methods outperform competing methods under a variety of assumptions and demographic models. We apply the new methods to whole-genome human data, and find a number of previously-identified loci with strong evidence of balancing selection, including several HLA genes. Additionally, we find evidence for many novel candidates, the strongest of which is FANK1, an imprinted gene that suppresses apoptosis, is expressed during meiosis in males, and displays marginal signs of segregation distortion. We hypothesize that balancing selection acts on this locus to stabilize the segregation distortion and negative fitness effects of the distorter allele. Thus, our methods are able to reproduce many previously-hypothesized signals of balancing selection, as well as discover novel interesting candidates.

Indexed as

DemographyGenetics, PopulationSelection, GeneticAllelesApoptosisDNA-Binding ProteinsGenome, HumanGenomic ImprintingHLA-A AntigensHumansMaleMeiosisModels, TheoreticalPhylogenyPopulation DensityTranscription FactorsDNA-Binding ProteinsFANK1 protein, humanHLA-A AntigensTranscription Factors

Identifiers

PMID25144706
PMCPMC4140648
OpenAlexW2085199608

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.