Evidence map›Paper›PMID 25556237›Full record

ArticleMolecular biology and evolution2015

The evolution and functional impact of human deletion variants shared with archaic hominin genomes.

Yen-Lung Lin, Pavlos Pavlidis, Emre Karakoc, Jerry Ajay, Omer Gokcumen

Abstract read
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Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Predicting Archaic Hominin Phenotypes from Genomic Data.Annual review of genomics and human genetics · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Complex Haplotypes ofG3 (Bethesda, Md.) · 2018
    Article
  15. Recent evolution of the human skin barrier.Experimental dermatology · 2018
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Yen-Lung LinDepartment of Biological Sciences, State University of New York at Buffalo, NY, US.
Pavlos PavlidisInstitute of Molecular Biology and Biotechnology (IMBB), Foundation of Research and Technology-Hellas, Heraklion, Crete, Greece.
Emre KarakocDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Jerry AjayDepartment of Computer Science and Engineering, State University of New York at Buffalo, NY, US.
Omer GokcumenDepartment of Biological Sciences, State University of New York at Buffalo, NY, US omergokc@buffalo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allele sharing between modern and archaic hominin genomes has been variously interpreted to have originated from ancestral genetic structure or through non-African introgression from archaic hominins. However, evolution of polymorphic human deletions that are shared with archaic hominin genomes has yet to be studied. We identified 427 polymorphic human deletions that are shared with archaic hominin genomes, approximately 87% of which originated before the Human-Neandertal divergence (ancient) and only approximately 9% of which have been introgressed from Neandertals (introgressed). Recurrence, incomplete lineage sorting between human and chimp lineages, and hominid-specific insertions constitute the remaining approximately 4% of allele sharing between humans and archaic hominins. We observed that ancient deletions correspond to more than 13% of all common (>5% allele frequency) deletion variation among modern humans. Our analyses indicate that the genomic landscapes of both ancient and introgressed deletion variants were primarily shaped by purifying selection, eliminating large and exonic variants. We found 17 exonic deletions that are shared with archaic hominin genomes, including those leading to three fusion transcripts. The affected genes are involved in metabolism of external and internal compounds, growth and sperm formation, as well as susceptibility to psoriasis and Crohn's disease. Our analyses suggest that these "exonic" deletion variants have evolved through different adaptive forces, including balancing and population-specific positive selection. Our findings reveal that genomic structural variants that are shared between humans and archaic hominin genomes are common among modern humans and can influence biomedically and evolutionarily important phenotypes.

Indexed as

Evolution, MolecularGenomeSequence DeletionAllelesAnimalsGenetic VariationHominidaeHumansACOT1copy number variation (CNV)DenisovanDMBT1GHRGSTT1LCE3CNeandertal

Identifiers

PMID25556237
PMCPMC4379406

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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.