Evidence map›Paper›PMID 35705575›Full record

ArticleScientific reports2022

Temporal mapping of derived high-frequency gene variants supports the mosaic nature of the evolution of Homo sapiens.

Alejandro Andirkó, Juan Moriano, Alessandro Vitriolo, Martin Kuhlwilm, Giuseppe Testa, Cedric Boeckx

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Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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  4. What made us "hunter-gatherers of words".Frontiers in neuroscience · 2023
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4 · The record

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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

6 authors.

Alejandro Andirkó *Universitat de Barcelona, Barcelona, Spain.
Juan Moriano *Universitat de Barcelona, Barcelona, Spain.
Alessandro VitrioloUniversity of Milan, Milan, Italy.
Martin KuhlwilmUniversity of Vienna, Vienna, Austria.
Giuseppe TestaUniversity of Milan, Milan, Italy.
Cedric BoeckxUniversitat de Barcelona, Barcelona, Spain. cedric.boeckx@ub.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale estimations of the time of emergence of variants are essential to examine hypotheses concerning human evolution with precision. Using an open repository of genetic variant age estimations, we offer here a temporal evaluation of various evolutionarily relevant datasets, such as Homo sapiens-specific variants, high-frequency variants found in genetic windows under positive selection, introgressed variants from extinct human species, as well as putative regulatory variants specific to various brain regions. We find a recurrent bimodal distribution of high-frequency variants, but also evidence for specific enrichments of gene categories in distinct time windows, pointing to different periods of phenotypic changes, resulting in a mosaic. With a temporal classification of genetic mutations in hand, we then applied a machine learning tool to predict what genes have changed more in certain time windows, and which tissues these genes may have impacted more. Overall, we provide a fine-grained temporal mapping of derived variants in Homo sapiens that helps to illuminate the intricate evolutionary history of our species.

Indexed as

Biological EvolutionBrainHumansMutation

Identifiers

PMID35705575
PMCPMC9200848

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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.