Limits of long-term selection against Neandertal introgression
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Abstract
Several studies have suggested that introgressed Neandertal DNA was subjected to negative selection in modern humans. A striking observation in support of this is an apparent monotonic decline in Neandertal ancestry observed in modern humans in Europe over the past 45,000 years. Here, we show that this decline is an artifact likely caused by gene flow between modern human populations, which is not taken into account by statistics previously used to estimate Neandertal ancestry. When we apply a statistic that avoids assumptions about modern human demography by taking advantage of two high-coverage Neandertal genomes, we find no evidence for a change in Neandertal ancestry in Europe over the past 45,000 years. We use whole-genome simulations of selection and introgression to investigate a wide range of model parameters and find that negative selection is not expected to cause a significant long-term decline in genome-wide Neandertal ancestry. Nevertheless, these models recapitulate previously observed signals of selection against Neandertal alleles, in particular the depletion of Neandertal ancestry in conserved genomic regions. Surprisingly, we find that this depletion is strongest in regulatory and conserved noncoding regions and in the most conserved portion of protein-coding sequences.
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The observations are consistent with NIMs having been primarily under purifying selection for thousands of generations.
“Our observations are consistent with NIMs having been primarily under purifying selection for thousands of generations (Harris and Nielsen, 2016; Petr et al., 2019).”
From The lingering effects of Neanderthal introgression on human complex traits (2023) · cites this paper as Petr et al., 2019
The Results section (page unavailable) reports purifying selection against introgressed deleterious variants and continued, increasingly slow removal of selected variants. But it finds the strongest effect on Neandertal ancestry in the first few hundred generations and no significant long-term genome-wide decline. It therefore does not support describing NIMs broadly as primarily under purifying selection for thousands of generations. (LLM, conf=0.87)
Experimental — accuracy not yet measuredNeanderthal ancestry is depleted in regions of the genome with strong background selection and evolutionary conservation.
“First, Neanderthal ancestry is depleted in regions of the genome with strong background selection and evolutionary conservation18,19,27.”
From Quantifying the contribution of Neanderthal introgression to the heritability of complex traits (2021) · cites this paper as [27]
The Results section, “Neandertal DNA Is Depleted in Regulatory and Conserved Noncoding Sequence” (page unavailable), reports significantly less Neandertal ancestry in conserved phastCons regions than in intronic and intergenic regions. It mentions earlier studies using B values, but our copy does not establish depletion specifically in regions of strong background selection. (LLM, conf=0.83)
Experimental — accuracy not yet measuredNeanderthal ancestry is depleted in regions of the genome with annotated molecular functions, and this depletion is strongest in annotated brain and testis regulatory regions.
“Second, Neanderthal ancestry is depleted in regions of the genome with annotated molecular functions (e.g., genes and gene regulatory elements), and this depletion is strongest in annotated brain and testis regulatory regions27–29.”
From Quantifying the contribution of Neanderthal introgression to the heritability of complex traits (2021) · cites this paper as [27]
The Results section, “Neandertal DNA Is Depleted in Regulatory and Conserved Noncoding Sequence” (page unavailable), reports significant depletion in promoters and conserved regions. It reports no significant depletion in protein-coding sequence relative to intronic and intergenic regions, and does not identify brain or testis regulatory regions as having the strongest depletion. (LLM, conf=0.89)
Experimental — accuracy not yet measuredPrevious studies of regions with Neanderthal ancestry found depletion for evidence of background selection and functional annotations, such as genes and gene regulatory elements active in specific tissues.
“First, previous studies of regions with Neanderthal ancestry found depletion for evidence of background selection and functional annotations, such as genes and gene regulatory elements active in specific tissues18,19,27,29.”
From Quantifying the contribution of Neanderthal introgression to the heritability of complex traits (2021) · cites this paper as [27]
The Results section, “Neandertal DNA Is Depleted in Regulatory and Conserved Noncoding Sequence” (page unavailable), reports previous findings of depletion in conserved and genic regions and this paper’s finding of depletion in promoters and conserved regions. It also says previous studies used B values, a measure of evolutionary conservation. Our copy does not establish depletion specifically in tissue-active regulatory elements or clearly report depletion by evidence of background selection. (LLM, conf=0.84)
Experimental — accuracy not yet measuredIntrogressed archaic DNA has mainly been deleterious and actively removed from coding sequences and conserved non-coding elements.
“beyond general agreement that introgressed archaic DNA has mainly been deleterious and actively removed from coding sequences and conserved non-coding elements [8, 12–14]”
From Denisovan introgression has shaped the immune system of present-day Papuans (2022) · cites this paper as [14]
The Results section, “Neandertal DNA Is Depleted in Regulatory and Conserved Noncoding Sequence” (page not provided), reports strong depletion in promoters and conserved regions, supporting selection against introgression there. But it finds no significant depletion in coding sequence relative to intronic and intergenic regions. The Abstract describes some Neandertal alleles as potentially deleterious, not introgressed archaic DNA as mainly deleterious. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Both Denisovan and Neanderthal aSNPs, especially those within protein coding and conserved non-coding elements, are mostly deleterious and negatively selected in modern humans.
“Evidence indicates that both Denisovan and Neanderthal aSNPs, especially those within protein coding and conserved non-coding elements, are mostly deleterious and negatively selected in modern humans [14, 61].”
From Denisovan introgression has shaped the immune system of present-day Papuans (2022) · cites this paper as [14]
The Results section, “Neandertal DNA Is Depleted in Regulatory and Conserved Noncoding Sequence” (page unavailable), supports selection against Neanderthal ancestry in conserved noncoding regions. It reports no significant depletion in protein-coding sequence overall. The paper does not establish that most archaic SNPs are deleterious, and its analysis does not establish the claim for Denisovan SNPs. (LLM, conf=0.90)
Experimental — accuracy not yet measuredaSNPs mostly occur within non-coding sequences.
“First, we confirm previous reports that aSNPs mostly occur within non-coding sequences [9, 14, 64], with a large number falling within highly constitutive and/or functionally inert regions, which might be the result of weaker purifying selection acting on these elements.”
From Denisovan introgression has shaped the immune system of present-day Papuans (2022) · cites this paper as [14]
The Results section, “Neandertal DNA Is Depleted in Regulatory and Conserved Noncoding Sequence” (page unavailable), analyzes Neandertal ancestry at SNPs in intronic and intergenic regions. It does not report that most archaic SNPs occur in noncoding sequence; its ancestry estimates by region do not establish the proportion of SNPs in each region. (LLM, conf=0.73)
Experimental — accuracy not yet measuredIntrogressed variants are depleted in regulatory elements and eQTL generally.
“Given the previously observed depletion for introgressed variants in regulatory elements and eQTL (Petr et al. 2019; Rinker et al. 2020; Telis et al. 2020)”
From Archaic Introgression Shaped Human Circadian Traits (2023) · cites this paper as Petr et al. 2019
The Results section, “Neandertal DNA Is Depleted in Regulatory and Conserved Noncoding Sequence” (page not provided), reports significantly depleted Neandertal ancestry in promoters and conserved regions. It does not report depletion in eQTLs; a search for “eQTL” and “expression quantitative trait loci” found no supporting passage. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe introgressed variants that remain in AMH genomes are the result of complex selective and demographic pressures following admixture.
“The introgressed variants that remain in AMH genomes are the result of complex selective and demographic pressures following admixture9,25,27.”
From Quantifying the contribution of Neanderthal introgression to the heritability of complex traits (2021) · cites this paper as [27]
Introgression of archaic material in modern humans was probably counterselected during an initial stage.
“Although the introgression of archaic material in MHs was probably counterselected during an initial stage (42)”
From Past human expansions shaped the spatial pattern of Neanderthal ancestry (2023) · cites this paper as [42]
The study followed Petr et al. to avoid a bias in the temporal distribution of the F4 statistics.
“We followed Petr et al. (42) to avoid a bias in the temporal distribution of the F4 statistics.”
From Past human expansions shaped the spatial pattern of Neanderthal ancestry (2023) · cites this paper as [42]
After admixture, early events of negative selection removed large parts of archaic DNA, but about 2% of Neandertal ancestry is still found in all present-day non-Africans.
“After admixture, early events of negative selection removed large parts of archaic DNA but ~2% of Neandertal ancestry is still found in all present-day non-Africans [15–17].”
From Neandertal introgression partitions the genetic landscape of neuropsychiatric disorders and associated behavioral phenotypes (2022) · cites this paper as [17]
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Cites
A second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438 · see citing works
Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes
Siepel, A., Bejerano, G., Pedersen, J. S., Hinrichs, A. S., Hou, M., Rosenbloom, K., Clawson, H., Spieth, J., Hillier, L. W., Richards, S., et al. (2005) · Genome Research · doi:10.1101/gr.3715005 · Cited by 4,408 · cited 1× · see citing works
“To determine whether particular functional classes of genomic sites are differently affected by Neandertal introgression, we partitioned the human genome by functional annotation obtained from Ensembl v91 (31), and by primate conserved regions inferred using phastCons (32).”
MethodA draft sequence of the Neandertal genome
Green, R. E., Krause, J., Briggs, A. W., Maricic, T., Stenzel, U., Kircher, M., Patterson, N., Li, H., Zhai, W., Fritz, M. H.-Y., et al. (2010) · Science · doi:10.1126/science.1188021 · Cited by 4,318 · see citing works
Self-citationAncient Admixture in Human History
Patterson, N., Moorjani, P., Luo, Y., Mallick, S., Rohland, N., Zhan, Y., Genschoreck, T., Webster, T., & Reich, D. (2012) · Genetics · doi:10.1534/genetics.112.145037 · Cited by 2,848 · see citing works
Zerbino, D. R., Achuthan, P., Akanni, W., Amode, M. R., Barrell, D., Bhai, J., Billis, K., Cummins, C., Gall, A., Girón, C. G., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1098 · Cited by 2,605 · see citing works
The complete genome sequence of a Neanderthal from the Altai Mountains
Prüfer, K., Racimo, F., Patterson, N., Jay, F., Sankararaman, S., Sawyer, S., Heinze, A., Renaud, G., Sudmant, P. H., de Filippo, C., et al. (2014) · Nature · doi:10.1038/nature12886 · Cited by 2,254 · see citing works
Self-citationA high-coverage genome sequence from an archaic denisovan individual
Meyer, M., Kircher, M., Gansauge, M.-T., Li, H., Racimo, F., Mallick, S., Schraiber, J. G., Jay, F., Prüfer, K., de Filippo, C., et al. (2012) · Science · doi:10.1126/science.1224344 · Cited by 1,967 · see citing works
Self-citationMassive migration from the steppe was a source for Indo-European languages in Europe
Haak, W., Lazaridis, I., Patterson, N., Rohland, N., Mallick, S., Llamas, B., Brandt, G., Nordenfelt, S., Harney, E., Stewardson, K., et al. (2015) · Nature · doi:10.1038/nature14317 · Cited by 1,940 · see citing works
The Simons Genome Diversity Project: 300 genomes from 142 diverse populations
Mallick, S., Li, H., Lipson, M., Mathieson, I., Gymrek, M., Racimo, F., Zhao, M., Chennagiri, N., Nordenfelt, S., Tandon, A., et al. (2016) · Nature · doi:10.1038/nature18964 · Cited by 1,584 · see citing works
Self-citationAncient human genomes suggest three ancestral populations for present-day Europeans
Lazaridis, I., Patterson, N., Mittnik, A., Renaud, G., Mallick, S., Kirsanow, K., Sudmant, P. H., Schraiber, J. G., Castellano, S., Lipson, M., et al. (2014) · Nature · doi:10.1038/nature13673 · Cited by 1,357 · see citing works
Self-citationNew fossils from Jebel Irhoud, Morocco and the pan-African origin of Homo sapiens.
Hublin, J.-J., Ben-Ncer, A., Bailey, S. E., Freidline, S. E., Neubauer, S., Skinner, M. M., Bergmann, I., Le Cabec, A., Benazzi, S., Harvati, K., et al. (2017) · Nature · doi:10.1038/nature22336 · Cited by 1,347 · see citing works
The genomic landscape of Neanderthal ancestry in present-day humans
Sankararaman, S., Mallick, S., Dannemann, M., Prüfer, K., Kelso, J., Pääbo, S., Patterson, N., & Reich, D. (2014) · Nature · doi:10.1038/nature12961 · Cited by 1,107 · see citing works
Self-citationGenome sequence of a 45,000-year-old modern human from western Siberia
Fu, Q., Li, H., Moorjani, P., Jay, F., Slepchenko, S. M., Bondarev, A. A., Johnson, P. L. F., Aximu-Petri, A., Prüfer, K., de Filippo, C., et al. (2014) · Nature · doi:10.1038/nature13810 · Cited by 1,023 · see citing works
Self-citationUpper Palaeolithic Siberian genome reveals dual ancestry of Native Americans
Raghavan, M., Skoglund, P., Graf, K. E., Metspalu, M., Albrechtsen, A., Moltke, I., Rasmussen, S., Stafford Jr, T. W., Orlando, L., Metspalu, E., et al. (2014) · Nature · doi:10.1038/nature12736 · Cited by 963 · see citing works
The genetic history of Ice Age Europe
Fu, Q., Posth, C., Hajdinjak, M., Petr, M., Mallick, S., Fernandes, D., Furtwängler, A., Haak, W., Meyer, M., Mittnik, A., et al. (2016) · Nature · doi:10.1038/nature17993 · Cited by 959 · see citing works
Self-citationGenomic insights into the origin of farming in the ancient Near East
Lazaridis, I., Nadel, D., Rollefson, G., Merrett, D. C., Rohland, N., Mallick, S., Fernandes, D., Novak, M., Gamarra, B., Sirak, K., et al. (2016) · Nature · doi:10.1038/nature19310 · Cited by 955 · cited 1× · see citing works
“Third, it has consequences for the so-called “dilution” hypothesis, which suggests that lower levels of Neandertal ancestry in Europeans compared with East Asians can be explained by dilution of Neandertal ancestry in Europeans due to admixture with a hypothetical Basal Eurasian population that carried little to no Ne…”
An early modern human from Romania with a recent Neanderthal ancestor
Fu, Q., Hajdinjak, M., Moldovan, O. T., Constantin, S., Mallick, S., Skoglund, P., Patterson, N., Rohland, N., Lazaridis, I., Nickel, B., et al. (2015) · Nature · doi:10.1038/nature14558 · Cited by 802 · see citing works
Self-citationA high-coverage Neandertal genome from Vindija Cave in Croatia
Prüfer, K., de Filippo, C., Grote, S., Mafessoni, F., Korlević, P., Hajdinjak, M., Vernot, B., Skov, L., Hsieh, P., Peyrégne, S., et al. (2017) · Science · doi:10.1126/science.aao1887 · Cited by 719 · see citing works
Self-citationEfficient Coalescent Simulation and Genealogical Analysis for Large Sample Sizes
Kelleher, J., Etheridge, A. M., & McVean, G. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004842 · Cited by 628 · see citing works
Demographic history and rare allele sharing among human populations
Gravel, S., Henn, B. M., Gutenkunst, R. N., Indap, A. R., Marth, G., Clark, A. G., Yu, F., Gibbs, R. A., The 1000 Genomes Project, Bustamante, C. D., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1019276108 · Cited by 625 · see citing works
Resurrecting Surviving Neandertal Lineages from Modern Human Genomes
Vernot, B., & Akey, J. M. (2014) · Science · doi:10.1126/science.1245938 · Cited by 562 · see citing works
Self-citationEvidence for archaic adaptive introgression in humans
Racimo, F., Sankararaman, S., Nielsen, R., & Huerta-Sánchez, E. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3936 · Cited by 521 · see citing works
Southern African ancient genomes estimate modern human divergence to 350,000 to 260,000 years ago
Schlebusch, C. M., Malmström, H., Günther, T., Sjödin, P., Coutinho, A., Edlund, H., Munters, A. R., Vicente, M., Steyn, M., Soodyall, H., et al. (2017) · Science · doi:10.1126/science.aao6266 · Cited by 519 · see citing works
The Combined Landscape of Denisovan and Neanderthal Ancestry in Present-Day Humans
Sankararaman, S., Mallick, S., Patterson, N., & Reich, D. (2016) · Current Biology · doi:10.1016/j.cub.2016.03.037 · Cited by 465 · see citing works
The Date of Interbreeding between Neandertals and Modern Humans
Sankararaman, S., Patterson, N., Li, H., Pääbo, S., & Reich, D. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002947 · Cited by 460 · see citing works
Self-citationWidespread Genomic Signatures of Natural Selection in Hominid Evolution
McVicker, G., Gordon, D., Davis, C., & Green, P. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000471 · Cited by 456 · see citing works
Population size and the rate of evolution
Lanfear, R., Kokko, H., & Eyre‐Walker, A. (2013) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2013.09.009 · Cited by 436 · see citing works
Zerbino, D. R., Wilder, S. P., Johnson, N., Juettemann, T., & Flicek, P. R. (2015) · Genome Biology · doi:10.1186/s13059-015-0621-5 · Cited by 429 · see citing works
The Genetic Cost of Neanderthal Introgression
Harris, K., & Nielsen, R. (2016) · Genetics · doi:10.1534/genetics.116.186890 · Cited by 419 · see citing works
Natural selection interacts with recombination to shape the evolution of hybrid genomes
Schumer, M., Xu, C., Powell, D. L., Durvasula, A., Skov, L., Holland, C., Blazier, J. C., Sankararaman, S., Andolfatto, P., Rosenthal, G. G., et al. (2018) · Science · doi:10.1126/science.aar3684 · Cited by 412 · see citing works
Reconstructing Prehistoric African Population Structure
Skoglund, P., Thompson, J. C., Prendergast, M. E., Mittnik, A., Sirak, K. A., Hajdinjak, M., Salie, T., Rohland, N., Mallick, S., Peltzer, A., et al. (2017) · Cell · doi:10.1016/j.cell.2017.08.049 · Cited by 410 · see citing works
Self-citationThe distribution of fitness effects of new deleterious amino acid mutations in humans.
Eyre-Walker, A., Woolfit, M., & Phelps, T. (2006) · Genetics · doi:10.1534/genetics.106.057570 · Cited by 377 · see citing works
The phenotypic legacy of admixture between modern humans and Neandertals
Simonti, C. N., Vernot, B., Bastarache, L., Bottinger, E., Carrell, D. S., Chisholm, R. L., Crosslin, D. R., Hebbring, S. J., Jarvik, G. P., Kullo, I. J., et al. (2016) · Science · doi:10.1126/science.aad2149 · Cited by 330 · see citing works
Self-citationThe Strength of Selection against Neanderthal Introgression
Juric, I., Aeschbacher, S., & Coop, G. (2016) · PLOS Genetics · doi:10.1371/journal.pgen.1006340 · Cited by 309 · see citing works
Reconstructing the genetic history of late Neanderthals
Hajdinjak, M., Fu, Q., Hübner, A., Petr, M., Mafessoni, F., Grote, S., Skoglund, P., Narasimham, V., Rougier, H., Crèvecoeur, I., et al. (2018) · Nature · doi:10.1038/nature26151 · Cited by 258 · see citing works
Self-citationAdmixture, Population Structure, and F -Statistics
Peter, B. M. (2016) · Genetics · doi:10.1534/genetics.115.183913 · Cited by 256 · see citing works
Dannemann, M., Andrés, A. M., & Kelso, J. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.11.015 · Cited by 249 · see citing works
Self-citationSLiM 2: Flexible, Interactive Forward Genetic Simulations
Haller, B. C., & Messer, P. W. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw211 · Cited by 242 · see citing works
Pleistocene North African genomes link Near Eastern and sub-Saharan African human populations
van de Loosdrecht, M. S., Bouzouggar, A., Humphrey, L., Posth, C., Barton, N., Aximu‐Petri, A., Nickel, B., Nagel, S., Talbi, E. H., Hajraoui, M. A. E., et al. (2018) · Science · doi:10.1126/science.aar8380 · Cited by 241 · see citing works
Self-citation40,000-Year-Old Individual from Asia Provides Insight into Early Population Structure in Eurasia
Yang, M. A., Gao, X., Theunert, C., Tong, H., Aximu‐Petri, A., Nickel, B., Slatkin, M., Meyer, M., Pääbo, S., Kelso, J. F., et al. (2017) · Current Biology · doi:10.1016/j.cub.2017.09.030 · Cited by 237 · see citing works
Self-citationInferring Demographic History from a Spectrum of Shared Haplotype Lengths
Harris, K., & Nielsen, R. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003521 · Cited by 229 · see citing works
Impacts of Neanderthal-Introgressed Sequences on the Landscape of Human Gene Expression
McCoy, R. C., Wakefield, J., & Akey, J. M. (2017) · Cell · doi:10.1016/j.cell.2017.01.038 · Cited by 200 · see citing works
Archaic Hominin Admixture Facilitated Adaptation to Out-of-Africa Environments
Gittelman, R. M., Schraiber, J. G., Vernot, B., Mikacenic, C., Wurfel, M. M., & Akey, J. M. (2016) · Current Biology · doi:10.1016/j.cub.2016.10.041 · Cited by 181 · see citing works
Self-citationPHYLOGENOMICS REVEALS EXTENSIVE RETICULATE EVOLUTION INXIPHOPHORUSFISHES
Cui, R., Schumer, M. E., Kruesi, K., Walter, R. B., Andolfatto, P., & Rosenthal, G. G. (2013) · Evolution · doi:10.1111/evo.12099 · Cited by 170 · see citing works
Complex History of Admixture between Modern Humans and Neandertals
Vernot, B., & Akey, J. M. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.01.006 · Cited by 149 · see citing works
Self-citationSchrider, D. R., Ayroles, J. F., Matute, D. R., & Kern, A. D. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007341 · Cited by 109 · see citing works
Functional implications of Neandertal introgression in modern humans
Dannemann, M., Prüfer, K., & Kelso, J. (2017) · Genome biology · doi:10.1186/s13059-017-1181-7 · Cited by 92 · see citing works
Self-citationModel‐based detection and analysis of introgressed Neanderthal ancestry in modern humans
Steinrücken, M., Spence, J. P., Kamm, J. A., Wieczorek, E., & Song, Y. S. (2018) · Molecular Ecology · doi:10.1111/mec.14565 · Cited by 73 · see citing works
Insights into Modern Human Prehistory Using Ancient Genomes
Yang, M. A., & Fu, Q. (2018) · Trends in Genetics · doi:10.1016/j.tig.2017.11.008 · Cited by 65 · see citing works
JACOBSEN, F., & Omland, K. E. (2011) · Molecular Ecology · doi:10.1111/j.1365-294x.2011.05120.x · Cited by 19 · see citing works
Kirch, P. V. (2018) · Current Anthropology · doi:10.1086/699992 · Cited by 9 · see citing works
Q&A: Where did the Neanderthals go?
Harris, K., & Nielsen, R. (2017) · BMC Biology · doi:10.1186/s12915-017-0414-2 · Cited by 2 · see citing works
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Günther, T., & Nettelblad, C. (2019) · PLOS Genetics · doi:10.1371/journal.pgen.1008302 · Cited by 228 · see citing works
Identifying and Interpreting Apparent Neanderthal Ancestry in African Individuals
Chen, L., Wolf, A. B., Fu, W., Li, L., & Akey, J. M. (2020) · Cell · doi:10.1016/j.cell.2020.01.012 · Cited by 254 · see citing works
Multiple episodes of interbreeding between Neanderthal and modern humans
Villanea, F. A., & Schraiber, J. G. (2018) · Nature Ecology & Evolution · doi:10.1038/s41559-018-0735-8 · Cited by 192 · see citing works
A weakly structured stem for human origins in Africa
Ragsdale, A. P., Weaver, T. D., Atkinson, E. G., Hoal, E. G., Möller, M., Henn, B. M., & Gravel, S. (2023) · Nature · doi:10.1038/s41586-023-06055-y · Cited by 159 · see citing works
Hubisz, M. J., Williams, A. L., & Siepel, A. (2020) · PLOS Genetics · doi:10.1371/journal.pgen.1008895 · Cited by 130 · see citing works
Quantifying the contribution of Neanderthal introgression to the heritability of complex traits
McArthur, E., Rinker, D. C., & Capra, J. A. (2021) · Nature Communications · doi:10.1038/s41467-021-24582-y · Cited by 71 · see citing works
The cis-regulatory effects of modern human-specific variants
Weiss, C. V., Harshman, L., Inoue, F., Fraser, H. B., Petrov, D. A., Ahituv, N., & Gokhman, D. (2021) · eLife · doi:10.7554/elife.63713 · Cited by 70 · see citing works
Gouy, A., & Excoffier, L. (2020) · Molecular Biology and Evolution · doi:10.1093/molbev/msz306 · Cited by 63 · see citing works
Silvert, M., Quintana-Murci, L., & Rotival, M. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.04.016 · Cited by 58 · see citing works
Earliest modern human genomes constrain timing of Neanderthal admixture
Sümer, A. P., Rougier, H., Villalba-Mouco, V., Huang, Y., Iasi, L. N. M., Essel, E., Bossoms Mesa, A., Furtwaengler, A., Peyrégne, S., de Filippo, C., et al. (2025) · Nature · doi:10.1038/s41586-024-08420-x · Cited by 58 · see citing works
Self-citationSelection against archaic hominin genetic variation in regulatory regions
Telis, N., Aguilar, R., & Harris, K. (2020) · Nature Ecology & Evolution · doi:10.1038/s41559-020-01284-0 · Cited by 51 · see citing works
The lingering effects of Neanderthal introgression on human complex traits
Wei, X., Robles, C. R., Pazokitoroudi, A., Ganna, A., Gusev, A., Durvasula, A., Gazal, S., Loh, P.-R., Reich, D., & Sankararaman, S. (2023) · eLife · doi:10.7554/elife.80757 · Cited by 43 · see citing works
“On the other hand, many Neanderthal variants appear to have been deleterious in the modern human genetic background leading to a reduction in Neanderthal ancestry in conserved genomic regions (Sankararaman et al., 2014; Vernot and Akey, 2014; Harris and Nielsen, 2016; Juric et al., 2016; Petr et al., 2019).”
BackgroundResultDenisovan introgression has shaped the immune system of present-day Papuans
Vespasiani, D. M., Jacobs, G. S., Cook, L. E., Brucato, N., Leavesley, M., Kinipi, C., Ricaut, F.-X., Cox, M. P., & Gallego Romero, I. (2022) · PLOS Genetics · doi:10.1371/journal.pgen.1010470 · Cited by 46 · see citing works
“Evidence indicates that both Denisovan and Neanderthal aSNPs, especially those within protein coding and conserved non-coding elements, are mostly deleterious and negatively selected in modern humans [11, 24].”
Neanderthal introgression reintroduced functional ancestral alleles lost in Eurasian populations
Rinker, D. C., Simonti, C. N., McArthur, E., Shaw, D., Hodges, E., & Capra, J. A. (2020) · Nature Ecology & Evolution · doi:10.1038/s41559-020-1261-z · Cited by 44 · see citing works
<i>DLX5/6</i> GABAergic Expression Affects Social Vocalization: Implications for Human Evolution
Levi, G., de Lombares, C., Giuliani, C., Iannuzzi, V., Aouci, R., Garagnani, P., Franceschi, C., Grimaud-Hervé, D., & Narboux-Nême, N. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab181 · Cited by 29 · see citing works
Dannemann, M., Milaneschi, Y., Yermakovich, D., Stiglbauer, V., Kariis, H. M., Krebs, K., Friese, M. A., Otte, C., Estonian Biobank Research Team, Esko, T., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02196-2 · Cited by 23 · see citing works
Self-citationTaskent, O., Lin, Y. L., Patramanis, I., Pavlidis, P., & Gokcumen, O. (2020) · Genetics · doi:10.1534/genetics.120.303167 · Cited by 20 · see citing works
Archaic Introgression Shaped Human Circadian Traits
Velazquez-Arcelay, K., Colbran, L. L., McArthur, E., Brand, C. M., Rinker, D. C., Siemann, J. K., McMahon, D. G., & Capra, J. A. (2023) · Genome Biology and Evolution · doi:10.1093/gbe/evad203 · Cited by 18 · see citing works
“Given the previously observed depletion for introgressed variants in regulatory elements and eQTL (Petr et al. 2019; Rinker et al. 2020; Telis et al. 2020), this enrichment for circadian genes among introgressed eQTL is S3, Supplementary Material online).”
BackgroundPast human expansions shaped the spatial pattern of Neanderthal ancestry
Quilodrán, C. S., Rio, J., Tsoupas, A., & Currat, M. (2023) · Science Advances · doi:10.1126/sciadv.adg9817 · Cited by 12 · see citing works
Effects of introgressed Neanderthal alleles on present-day brain morphology
Zeloni, R., Amaolo, A., Morez Jacobs, A., Zapparoli, E., Akl, Y., Shafie, M., Huerta-Sanchez, E., Pizzagalli, F., Provero, P., Pagani, L., et al. (2026) · bioRxiv · doi:10.64898/2026.04.14.718380
“Indeed, selection against functional introgressed variants has been demonstrated 6,12–14 , and some regions, termed archaic deserts, which make up to 7-40% 5,6,15,16 of the modern human genome, are devoid of recognizable Neanderthal introgression.”
- Authors
- Petr, M., Pääbo, S., Kelso, J., & Vernot, B.
- Affiliations
- Max Planck Institute for Evolutionary Anthropology (DE)
- Corresponding author
- Kelso, Janet
- Vernot, Benjamin
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2019-01-15
- Volume
- 116
- Issue
- 5
- Pages
- 1639-1644
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC6358679
- OpenAlex
- W2952933500
- Cited by
- 211
- References
- 52
- Citations by year
- 2026: 15 · 2025: 10 · 2024: 19 · 2023: 19 · 2022: 61 · 2021: 33 · 2020: 33 · 2019: 18 · 2018: 3
- FWCI
- 167.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, cc-by)
- Funders
- Max-Planck-Gesellschaft
- H2020 European Research Council (694707)
- Topics
- Social Sciences › Anthropology › Pleistocene-Era Hominins and Archaeology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- negative selection, gene flow, conserved genomic regions, regulatory elements, non-coding regions, protein-coding sequences
- MeSH terms
- Alleles, Animals, DNA, Europe, Humans, Selection, Genetic, Conserved Sequence, Evolution, Molecular, RNA, Untranslated, White People, Gene Flow, Neanderthals
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