Evidence map›Paper›PMID 31186485›Full record

ArticleScientific reports2019

A catalog of single nucleotide changes distinguishing modern humans from archaic hominins.

Martin Kuhlwilm, Cedric Boeckx

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
69.8field-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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 111 citations in OpenAlex.

  1. Pooled it
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  14. Archaic Introgression Shaped Human Circadian Traits.Genome biology and evolution · 2023
    Article
  15. Article
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  19. Large-scale functional screen identifies genetic variants with splicing effects in modern and archaic humans.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  20. Review
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

2 authors at 2 institutions in 1 country.

Martin KuhlwilmInstitut de Biologia Evolutiva, (CSIC-Universitat Pompeu Fabra), PRBB, Barcelona, Spain.
Cedric BoeckxICREA, Barcelona, Spain. cedric.boeckx@ub.edu.ORCID http://orcid.org/0000-0001-8882-9718
Institució Catalana de Recerca i Estudis Avançats · ESUniversitat Pompeu Fabra · ES

Funding

DENGUE FEVER AND OTHER INFECTIONS IN THE AIDS ERAF06TW002009 · FIC · UNIVERSITY OF WASHINGTON · PI FOY, HJORDIS M · 1994 to 1994
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6 · The paper itself

Abstract

Throughout the past decade, studying ancient genomes has provided unique insights into human prehistory, and differences between modern humans and other branches like Neanderthals can enrich our understanding of the molecular basis of unique modern human traits. Modern human variation and the interactions between different hominin lineages are now well studied, making it reasonable to go beyond fixed genetic changes and explore changes that are observed at high frequency in present-day humans. Here, we identify 571 genes with non-synonymous changes at high frequency. We suggest that molecular mechanisms in cell division and networks affecting cellular features of neurons were prominently modified by these changes. Complex phenotypes in brain growth trajectory and cognitive traits are likely influenced by these networks and other non-coding changes presented here. We propose that at least some of these changes contributed to uniquely human traits, and should be prioritized for experimental validation.

Indexed as

AnimalsGenome, HumanHominidaeHumansNeuronsNucleotidesPhenotypePhylogenySelection, GeneticNucleotides

Identifiers

PMID31186485
PMCPMC6560109
OpenAlexW2952005553

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.