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Long-range regulatory effects of Neandertal DNA in modern humans

The admixture between modern humans and Neandertals has resulted in ∼2% of the genomes of present-day non-Africans being composed of Neandertal DNA. Introgressed Neandertal DNA has been demonstrated to significantly affect the transcriptomic landscape in people today and via this molecular mechanism...

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Autores principales: Yermakovich, Danat, Pankratov, Vasili, Võsa, Urmo, Yunusbayev, Bayazit, Dannemann, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9991505/
https://www.ncbi.nlm.nih.gov/pubmed/36560850
http://dx.doi.org/10.1093/genetics/iyac188
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author Yermakovich, Danat
Pankratov, Vasili
Võsa, Urmo
Yunusbayev, Bayazit
Dannemann, Michael
author_facet Yermakovich, Danat
Pankratov, Vasili
Võsa, Urmo
Yunusbayev, Bayazit
Dannemann, Michael
author_sort Yermakovich, Danat
collection PubMed
description The admixture between modern humans and Neandertals has resulted in ∼2% of the genomes of present-day non-Africans being composed of Neandertal DNA. Introgressed Neandertal DNA has been demonstrated to significantly affect the transcriptomic landscape in people today and via this molecular mechanism influence phenotype variation as well. However, little is known about how much of that regulatory impact is mediated through long-range regulatory effects that have been shown to explain ∼20% of expression variation. Here we identified 60 transcription factors (TFs) with their top cis-eQTL SNP in GTEx being of Neandertal ancestry and predicted long-range Neandertal DNA-induced regulatory effects by screening for the predicted target genes of those TFs. We show that the TFs form a significantly connected protein–protein interaction network. Among them are JUN and PRDM5, two brain-expressed TFs that have their predicted target genes enriched in regions devoid of Neandertal DNA. Archaic cis-eQTLs for the 60 TFs include multiple candidates for local adaptation, some of which show significant allele frequency increases over the last ∼10,000 years. A large proportion of the cis-eQTL-associated archaic SNPs have additional associations with various immune traits, schizophrenia, blood cell type composition and anthropometric measures. Finally, we demonstrate that our results are consistent with those of Neandertal DNA-associated empirical trans-eQTLs. Our results suggest that Neandertal DNA significantly influences regulatory networks, that its regulatory reach goes beyond the 40% of genomic sequence it still covers in present-day non-Africans and that via the investigated mechanism Neandertal DNA influences the phenotypic variation in people today.
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spelling pubmed-99915052023-03-08 Long-range regulatory effects of Neandertal DNA in modern humans Yermakovich, Danat Pankratov, Vasili Võsa, Urmo Yunusbayev, Bayazit Dannemann, Michael Genetics Investigation The admixture between modern humans and Neandertals has resulted in ∼2% of the genomes of present-day non-Africans being composed of Neandertal DNA. Introgressed Neandertal DNA has been demonstrated to significantly affect the transcriptomic landscape in people today and via this molecular mechanism influence phenotype variation as well. However, little is known about how much of that regulatory impact is mediated through long-range regulatory effects that have been shown to explain ∼20% of expression variation. Here we identified 60 transcription factors (TFs) with their top cis-eQTL SNP in GTEx being of Neandertal ancestry and predicted long-range Neandertal DNA-induced regulatory effects by screening for the predicted target genes of those TFs. We show that the TFs form a significantly connected protein–protein interaction network. Among them are JUN and PRDM5, two brain-expressed TFs that have their predicted target genes enriched in regions devoid of Neandertal DNA. Archaic cis-eQTLs for the 60 TFs include multiple candidates for local adaptation, some of which show significant allele frequency increases over the last ∼10,000 years. A large proportion of the cis-eQTL-associated archaic SNPs have additional associations with various immune traits, schizophrenia, blood cell type composition and anthropometric measures. Finally, we demonstrate that our results are consistent with those of Neandertal DNA-associated empirical trans-eQTLs. Our results suggest that Neandertal DNA significantly influences regulatory networks, that its regulatory reach goes beyond the 40% of genomic sequence it still covers in present-day non-Africans and that via the investigated mechanism Neandertal DNA influences the phenotypic variation in people today. Oxford University Press 2022-12-23 /pmc/articles/PMC9991505/ /pubmed/36560850 http://dx.doi.org/10.1093/genetics/iyac188 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Genetics Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Investigation
Yermakovich, Danat
Pankratov, Vasili
Võsa, Urmo
Yunusbayev, Bayazit
Dannemann, Michael
Long-range regulatory effects of Neandertal DNA in modern humans
title Long-range regulatory effects of Neandertal DNA in modern humans
title_full Long-range regulatory effects of Neandertal DNA in modern humans
title_fullStr Long-range regulatory effects of Neandertal DNA in modern humans
title_full_unstemmed Long-range regulatory effects of Neandertal DNA in modern humans
title_short Long-range regulatory effects of Neandertal DNA in modern humans
title_sort long-range regulatory effects of neandertal dna in modern humans
topic Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9991505/
https://www.ncbi.nlm.nih.gov/pubmed/36560850
http://dx.doi.org/10.1093/genetics/iyac188
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