Archaic Hominin Admixture Facilitated Adaptation to Out-of-Africa Environments
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As modern humans dispersed from Africa throughout the world, they encountered and interbred with archaic hominins, including Neanderthals and Denisovans [1, 2]. Although genome-scale maps of introgressed sequences have been constructed [3-6], considerable gaps in knowledge remain about the functional, phenotypic, and evolutionary significance of archaic hominin DNA that persists in present-day individuals. Here, we describe a comprehensive set of analyses that identified 126 high-frequency archaic haplotypes as putative targets of adaptive introgression in geographically diverse populations. These loci are enriched for immune-related genes (such as OAS1/2/3, TLR1/6/10, and TNFAIP3) and also encompass genes (including OCA2 and BNC2) that influence skin pigmentation phenotypes. Furthermore, we leveraged existing and novel large-scale gene expression datasets to show many positively selected archaic haplotypes act as expression quantitative trait loci (eQTLs), suggesting that modulation of transcript abundance was a common mechanism facilitating adaptive introgression. Our results demonstrate that hybridization between modern and archaic hominins provided an important reservoir of advantageous alleles that enabled adaptation to out-of-Africa environments.
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The regions of the novel T2T-CHM13 haplotypes included previously recognized targets of adaptive introgression, such as SGCB and SPATA18.
“These regions included previously recognized targets of adaptive introgression, such as SGCB and SPATA18 [13, 14, 17].”
From A refined analysis of Neanderthal-introgressed sequences in modern humans with a complete reference genome (2025) · cites this paper as [17]
The Results and Discussion section on identifying adaptively introgressed loci says that seven high-frequency archaic haplotypes had previously been highlighted as putative targets of adaptive introgression. Our copy does not identify SGCB or SPATA18 as examples, and it does not address the novel T2T-CHM13 haplotypes (searched: SGCB, SPATA18). (LLM, conf=0.83)
Experimental — accuracy not yet measuredSome archaic alleles and haplotypes are adaptive and persist at high frequencies in human populations.
“For instance, substantial evidence suggests that some archaic alleles and haplotypes are adaptive and persist at high frequencies in human populations [10, 13–19].”
From A refined analysis of Neanderthal-introgressed sequences in modern humans with a complete reference genome (2025) · cites this paper as [17]
The 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 [9]
Some remaining Neandertal variants have reached high frequencies in some present-day populations, suggesting they might have conferred advantages at some point since admixture.
“Some of the remaining Neandertal variants have reached high frequencies in some present-day populations, suggesting that they might have conferred advantages at some point since admixture [12, 18, 19].”
From Neandertal introgression partitions the genetic landscape of neuropsychiatric disorders and associated behavioral phenotypes (2022) · cites this paper as [19]
Selected variants can exert their effect by modifying gene expression or by changing the amino acid sequence.
“Selected variants can exert their effect by modifying gene expression or by changing the amino acid sequence [8–12].”
From Functional implications of Neandertal introgression in modern humans (2017) · cites this paper as [8]
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Cites
A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247 · see citing works
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072 · see citing works
The variant call format and VCFtools
Danecek, P., Auton, A., Abecasis, G. R., Albers, C. A., Banks, E., DePristo, M. A., Handsaker, R. E., Lunter, G. A., Marth, G., Sherry, S. T., et al. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr330 · Cited by 16,008 · see citing works
The role of pattern-recognition receptors in innate immunity: update on Toll-like receptors
Kawai, T., & Akira, S. (2010) · Nature Immunology · doi:10.1038/ni.1863 · Cited by 9,304 · see citing works
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science · doi:10.1126/science.1262110 · Cited by 5,062 · see citing works
A 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
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
Genetic history of an archaic hominin group from Denisova Cave in Siberia
Reich, D., Green, R. E., Kircher, M., Krause, J., Patterson, N., Durand, E. Y., Viola, B., Briggs, A. W., Stenzel, U., Johnson, P. L. F., et al. (2010) · Nature · doi:10.1038/nature09710 · Cited by 1,991 · see citing works
A 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-citationTranscriptome and genome sequencing uncovers functional variation in humans
The Geuvadis Consortium, Lappalainen, T., Sammeth, M., Friedländer, M. R., ‘t Hoen, P. A. C., Monlong, J., Rivas, M. A., Gonzàlez-Porta, M., Kurbatova, N., Griebel, T., et al. (2013) · Nature · doi:10.1038/nature12531 · Cited by 1,888 · see citing works
Altitude adaptation in Tibetans caused by introgression of Denisovan-like DNA
Huerta-Sánchez, E., Jin, X., Asan, Bianba, Z., Peter, B. M., Vinckenbosch, N., Liang, Y., Yi, X., He, M., Somel, M., et al. (2014) · Nature · doi:10.1038/nature13408 · Cited by 1,208 · 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
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
Genetic determinants of hair, eye and skin pigmentation in Europeans
Sulem, P., Gudbjartsson, D. F., Stacey, S. N., Helgason, A., Rafnar, T., Magnusson, K. P., Manolescu, A., Karason, A., Palsson, A., Thorleifsson, G., et al. (2007) · Nature Genetics · doi:10.1038/ng.2007.13 · Cited by 750 · see citing works
Detecting Natural Selection in Genomic Data
Vitti, J. J., Grossman, S. R., & Sabeti, P. C. (2013) · Annual Review of Genetics · doi:10.1146/annurev-genet-111212-133526 · Cited by 694 · 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
Fairfax, B. P., Makino, S., Radhakrishnan, J., Plant, K., Leslie, S., Dilthey, A., Ellis, P., Langford, C., Vannberg, F. O., & Knight, J. C. (2012) · Nature Genetics · doi:10.1038/ng.2205 · Cited by 486 · 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
Excavating Neandertal and Denisovan DNA from the genomes of Melanesian individuals
Vernot, B., Tucci, S., Kelso, J., Schraiber, J. G., Wolf, A. B., Gittelman, R. M., Dannemann, M., Grote, S., McCoy, R. C., Norton, H., et al. (2016) · Science · doi:10.1126/science.aad9416 · Cited by 459 · 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
How reliable are empirical genomic scans for selective sweeps?Preprint
Teshima, K. M., Coop, G., & Przeworski, M. (2006) · Genome Research · doi:10.1101/gr.5105206 · Cited by 398 · see citing works
Two newly identified genetic determinants of pigmentation in Europeans
Sulem, P., Gudbjartsson, D. F., Stacey, S. N., Helgason, A., Rafnar, T., Jakobsdottir, M., Steinberg, S., Gudjonsson, S. A., Palsson, A., Thorleifsson, G., et al. (2008) · Nature Genetics · doi:10.1038/ng.160 · Cited by 368 · see citing works
OAS proteins and cGAS: unifying concepts in sensing and responding to cytosolic nucleic acids
Hornung, V., Hartmann, R., Ablasser, A., & Hopfner, K. (2014) · Nature reviews. Immunology · doi:10.1038/nri3719 · Cited by 341 · 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
Heyninck, K., VALCK, D. D., Berghe, W. V., Criekinge, W. V., Contreras, R., Fiers, W., Haegeman, G., & Beyaert, R. (1999) · The Journal of Cell Biology · doi:10.1083/jcb.145.7.1471 · Cited by 295 · see citing works
Deschamps, M., Laval, G., Fagny, M., Itan, Y., Abel, L., Casanova, J.-L., Patin, E., & Quintana-Murci, L. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.11.014 · Cited by 257 · 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
Hinds, D. A., McMahon, G., Kiefer, A. K., Do, C. B., Eriksson, N., Evans, D. M., St Pourcain, B., Ring, S. M., Mountain, J. L., Francke, U., et al. (2013) · Nature Genetics · doi:10.1038/ng.2686 · Cited by 246 · see citing works
Genomic signatures of positive selection in humans and the limits of outlier approachesPreprint
Kelley, J. L., Madeoy, J. J., Calhoun, J. C., Swanson, W. J., & Akey, J. M. (2006) · Genome Research · doi:10.1101/gr.5157306 · Cited by 218 · see citing works
Self-citationLi, M. J., Liu, Z., Wang, P., Wong, M. P., Nelson, M. R., Kocher, J., Yeager, M., Sham, P. C., Chanock, S. J., Xia, Z., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1317 · Cited by 186 · see citing works
Lee, S. M. Y., Kok, K., Jaume, M., Cheung, T., Yip, T.-F., Lai, J. C. C., Guan, Y., Webster, R. G., Jin, D., & Peiris, M. J. S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1324266111 · Cited by 185 · see citing works
Identification of Genetic Loci Associated With Helicobacter pylori Serologic Status
Mayerle, J. V., den Hoed, C. M., Schurmann, C., Stolk, L., Homuth, G., Peters, M. J., Capelle, L. G., Zimmermann, K., Rivadeneira, F., GRUSKA, S., et al. (2013) · JAMA · doi:10.1001/jama.2013.4350 · Cited by 161 · see citing works
Bonnevie‐Nielsen, V., Field, L. L., Lu, S., Zheng, D., Li, M., Martensen, P. M., Nielsen, T. B., Beck‐Nielsen, H., Lau, Y., & Pociot, F. (2005) · The American Journal of Human Genetics · doi:10.1086/429391 · Cited by 155 · see citing works
A global view of the OCA2-HERC2 region and pigmentation
Donnelly, M. P., Paschou, P., Grigorenko, E., Gurwitz, D., Barta, C., Lu, R.-B., Zhukova, O. V., Kim, J.-J., Siniscalco, M., New, M., et al. (2012) · Human Genetics · doi:10.1007/s00439-011-1110-x · Cited by 131 · see citing works
Selection and Adaptation in the Human Genome
Fu, W., & Akey, J. M. (2013) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-091212-153509 · Cited by 123 · see citing works
Self-citationNeandertal Origin of Genetic Variation at the Cluster of OAS Immunity Genes
Mendez, F. L., Watkins, J. C., & Hammer, M. F. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst004 · Cited by 113 · see citing works
Toll-like Receptor 10 in Helicobacter pylori Infection
Nagashima, H., Iwatani, S., Cruz, M., Abreu, J. A. J., Uchida, T., Mahachai, V., Vilaichone, R., Graham, D. Y., & Yamaoka, Y. (2015) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiv270 · Cited by 105 · see citing works
Sikora, M., Carpenter, M. L., Moreno‐Estrada, A., Henn, B. M., Underhill, P. A., Sánchez‐Quinto, F., Zara, I., Pitzalis, M., Sidore, C., Busonero, F., et al. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004353 · Cited by 87 · see citing works
Small Amounts of Archaic Admixture Provide Big Insights into Human History
Vattathil, S., & Akey, J. M. (2015) · Cell · doi:10.1016/j.cell.2015.09.042 · Cited by 74 · see citing works
Self-citationMikacenic, C. R., Reiner, A. P., Holden, T. D., Nickerson, D. A., & Wurfel, M. M. (2012) · Genes and Immunity · doi:10.1038/gene.2012.53 · Cited by 63 · see citing works
Self-citationThe Strength of Selection Against Neanderthal IntrogressionPreprint
Jurić, I., Aeschbacher, S., & Coop, G. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/030148 · Cited by 49 · see citing works
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Zeberg, H., & Pääbo, S. (2020) · Nature · doi:10.1038/s41586-020-2818-3 · Cited by 636 · see citing works
Analysis of Human Sequence Data Reveals Two Pulses of Archaic Denisovan Admixture
Browning, S. R., Browning, B. L., Zhou, Y., Tucci, S., & Akey, J. M. (2018) · Cell · doi:10.1016/j.cell.2018.02.031 · Cited by 381 · see citing works
Self-citationMultiple Deeply Divergent Denisovan Ancestries in Papuans
Jacobs, G. S., Hudjashov, G., Saag, L., Kusuma, P., Darusallam, C. C., Lawson, D. J., Mondal, M., Pagani, L., Ricaut, F.-X., Stoneking, M., et al. (2019) · Cell · doi:10.1016/j.cell.2019.02.035 · Cited by 346 · see citing works
The influence of evolutionary history on human health and disease
Benton, M. L., Abraham, A., LaBella, A. L., Abbot, P., Rokas, A., & Capra, J. A. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-020-00305-9 · Cited by 291 · 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
Self-citationNeanderthal language revisited: not only us
Dediu, D., & Levinson, S. C. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.01.001 · Cited by 218 · see citing works
Limits of long-term selection against Neandertal introgression
Petr, M., Pääbo, S., Kelso, J., & Vernot, B. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1814338116 · Cited by 211 · see citing works
Self-citationEvidence that RNA Viruses Drove Adaptive Introgression between Neanderthals and Modern Humans
Enard, D., & Petrov, D. A. (2018) · Cell · doi:10.1016/j.cell.2018.08.034 · Cited by 208 · see citing works
Genomic insights into population history and biological adaptation in Oceania
Choin, J., Mendoza-Revilla, J., Arauna, L. R., Cuadros-Espinoza, S., Cassar, O., Larena, M., Ko, A. M.-S., Harmant, C., Laurent, R., Verdu, P., et al. (2021) · Nature · doi:10.1038/s41586-021-03236-5 · Cited by 208 · 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
Self-citationThe Contribution of Neanderthals to Phenotypic Variation in Modern Humans
Dannemann, M., & Kelso, J. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.09.010 · Cited by 193 · see citing works
The nature of Neanderthal introgression revealed by 27,566 Icelandic genomes
Skov, L., Coll Macià, M., Sveinbjörnsson, G., Mafessoni, F., Lucotte, E. A., Einarsdóttir, M. S., Jonsson, H., Halldorsson, B., Gudbjartsson, D. F., Helgason, A., et al. (2020) · Nature · doi:10.1038/s41586-020-2225-9 · Cited by 145 · see citing works
Detecting adaptive introgression in human evolution using convolutional neural networks
Gower, G., Picazo, P. I., Fumagalli, M., & Racimo, F. (2021) · eLife · doi:10.7554/elife.64669 · Cited by 95 · 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
“Although both mechanisms have been described for introgressed alleles, and it has been suggested that regulatory changes are likely to have a larger impact [8], the relative contribution of each mechanism remains unknown.”
Philippine Ayta possess the highest level of Denisovan ancestry in the world
Larena, M., McKenna, J., Sanchez-Quinto, F., Bernhardsson, C., Ebeo, C., Reyes, R., Casel, O., Huang, J.-Y., Hagada, K. P., Guilay, D., et al. (2021) · Current Biology · doi:10.1016/j.cub.2021.07.022 · Cited by 93 · see citing works
Something old, something borrowed: admixture and adaptation in human evolution
Dannemann, M., & Racimo, F. (2018) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2018.05.009 · Cited by 87 · 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
Model‐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
Denisovan, modern human and mouse TNFAIP3 alleles tune A20 phosphorylation and immunity
Zammit, N. W., Siggs, O. M., Gray, P. E., Horikawa, K., Langley, D. B., Walters, S. N., Daley, S. R., Loetsch, C., Warren, J., Yap, J. Y., et al. (2019) · Nature Immunology · doi:10.1038/s41590-019-0492-0 · Cited by 80 · 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
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
Denisovan 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
“Several lines of evidence highlight associations between archaic DNA and risk for disease traits, including autoimmune diseases [12,13], or with traits of possible evolutionary advantage for early non-Africans [14,15].”
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
Natri, H. M., Bobowik, K. S., Kusuma, P., Crenna Darusallam, C., Jacobs, G. S., Hudjashov, G., Lansing, J. S., Sudoyo, H., Banovich, N. E., Cox, M. P., et al. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008749 · Cited by 48 · see citing works
Zhang, X., Kim, B., Singh, A., Sankararaman, S., Durvasula, A., & Lohmueller, K. E. (2023) · Molecular Biology and Evolution · doi:10.1093/molbev/msad001 · Cited by 29 · see citing works
Evolutionary and medical consequences of archaic introgression into modern human genomes
Dolgova, O., & Lao, O. (2018) · Genes · doi:10.3390/genes9070358 · Cited by 34 · see citing works
Natri, H. M., Hudjashov, G., Jacobs, G., Kusuma, P., Saag, L., Darusallam, C. C., Metspalu, M., Sudoyo, H., Cox, M. P., Gallego Romero, I., et al. (2022) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.11.017 · Cited by 33 · see citing works
Koller, D., Wendt, F. R., Pathak, G. A., De Lillo, A., De Angelis, F., Cabrera-Mendoza, B., Tucci, S., & Polimanti, R. (2022) · BMC Biology · doi:10.1186/s12915-022-01449-2 · Cited by 27 · 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
“Some of the remaining Neandertal variants have reached high frequencies in some present-day populations, suggesting that they might have conferred advantages at some point since admixture [12, 18, 19].”
Chintalapati, M., Dannemann, M., & Prüfer, K. (2017) · BMC Evolutionary Biology · doi:10.1186/s12862-017-1018-8 · Cited by 13 · see citing works
Liang, S.-A., Ren, T., Zhang, J., He, J., Wang, X., Jiang, X., He, Y., McCoy, R. C., Fu, Q., Akey, J. M., et al. (2025) · Genome Biology · doi:10.1186/s13059-025-03502-z · Cited by 8 · see citing works
Self-citationEffects 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
“Although some examples of adaptive introgression from archaic humans have been identified 7–10 , most introgressed haplotypes are expected to be neutral, or even fitness-reducing due to a) critical demographic conditions of late Neanderthals leading to accumulation of deleterious variants 6,11 and…”
- Authors
- Gittelman, R. M., Schraiber, J. G., Vernot, B., Mikacenic, C., Wurfel, M. M., & Akey, J. M.
- Affiliations
- University of Washington (US)
- Corresponding author
- Akey, Joshua M.
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 26
- Issue
- 24
- Pages
- 3375-3382
- ISSN
- 0960-9822 (ISSN-L)
- PMC
- PMC6764441
- OpenAlex
- W2550871030
- Cited by
- 181
- References
- 43
- Citations by year
- 2026: 12 · 2025: 11 · 2024: 17 · 2023: 20 · 2022: 16 · 2021: 28 · 2020: 27 · 2019: 22 · 2018: 18 · 2017: 10
- FWCI
- 65.17
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Current Biology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (R01GM110068)
- 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 Associations and Epidemiology
- Keywords
- adaptive introgression, Neanderthal DNA, Denisovan DNA, immune-related genes, A20, OCA2, BNC2, expression quantitative trait loci, positive selection, hybridization
- MeSH terms
- Adaptation, Physiological, Animals, Demography, DNA, Biological Evolution, Gene Expression Regulation, Haplotypes, Humans, Pigmentation, Genetic Variation, Genome, Human, Neanderthals
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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