Abstract
Human cognitive and social behaviors differ from those of other mammals, but the molecular, cellular and circuit-level changes that underlie these behavioral differences are poorly understood. The recent availability of thousands of mammalian, non-human primate, ancient human and modern human genomes now makes it possible to use quantitative approaches to identify genomic regions with signatures of selection in humans, which, when combined with comparative experimental approaches, can provide precise insights into the phenotypes that were the targets of adaptation across different evolutionary timescales. This Review presents a progress report on a ‘genome-up’ approach to understanding human brain evolution and lays out a framework for further advancement. Additional progress will require cohort expansion to improve the identification of genetic loci under selection, the application of comparative experimental approaches to additional milieus and the functional dissection of specific human-evolved loci.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$32.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout






Similar content being viewed by others
References
Nurk, S. et al. The complete sequence of a human genome. Science 376, 44–53 (2022).
Christmas, M. J. et al. Evolutionary constraint and innovation across hundreds of placental mammals. Science 380, eabn3943 (2023).
Kuderna, L. F. K. et al. A global catalog of whole-genome diversity from 233 primate species. Science 380, 906–913 (2023). This study densely samples genomes from the primate phylogenetic tree. These primate genomes can be used to improve identification of human-specific genetic changes.
Mallick, S. et al. The Allen Ancient DNA Resource (AADR) a curated compendium of ancient human genomes. Sci. Data 11, 182 (2024).
Fischbach, G. D. & Lord, C. The Simons Simplex Collection: a resource for identification of autism genetic risk factors. Neuron 68, 192–195 (2010).
Sudlow, C. et al. UK Biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 12, e1001779 (2015).
Bick, A. G. et al. Genomic data in the All of Us Research Program. Nature 627, 340–346 (2024).
Lai, C. S., Fisher, S. E., Hurst, J. A., Vargha-Khadem, F. & Monaco, A. P. A forkhead-domain gene is mutated in a severe speech and language disorder. Nature 413, 519–523 (2001).
Enard, W. et al. Molecular evolution of FOXP2, a gene involved in speech and language. Nature 418, 869–872 (2002).
Haesler, S. et al. Incomplete and inaccurate vocal imitation after knockdown of Foxp2 in songbird basal ganglia nucleus area X. PLoS Biol. 5, e321 (2007).
Tajima, Y. et al. NOVA1 acts on impact to regulate hypothalamic function and translation in inhibitory neurons. Cell Rep. 42, 112050 (2023).
Enard, W. et al. A humanized version of FOXP2 affects cortico-basal ganglia circuits in mice. Cell 137, 961–971 (2009).
von Merten, S., Pfeifle, C., Künzel, S., Hoier, S. & Tautz, D. A humanized version of Foxp2 affects ultrasonic vocalization in adult female and male mice. Genes Brain Behav. 20, e12764 (2021).
Montgomery, S. H., Capellini, I., Venditti, C., Barton, R. A. & Mundy, N. I. Adaptive evolution of four microcephaly genes and the evolution of brain size in anthropoid primates. Mol. Biol. Evol. 28, 625–638 (2011).
Dumas, G., Malesys, S. & Bourgeron, T. Systematic detection of brain protein-coding genes under positive selection during primate evolution and their roles in cognition. Genome Res. 31, 484–496 (2021).
Dennis, M. Y. et al. The evolution and population diversity of human-specific segmental duplications. Nat. Ecol. Evol. 1, 69 (2017).
Florio, M. et al. Human-specific gene ARHGAP11B promotes basal progenitor amplification and neocortex expansion. Science 347, 1465–1470 (2015).
Florio, M., Namba, T., Paabo, S., Hiller, M. & Huttner, W. B. A single splice site mutation in human-specific ARHGAP11B causes basal progenitor amplification. Sci. Adv. 2, e1601941 (2016).
Kalebic, N. et al. Human-specific ARHGAP11B induces hallmarks of neocortical expansion in developing ferret neocortex. eLife 7, e41241 (2018).
Florio, M. et al. Evolution and cell-type specificity of human-specific genes preferentially expressed in progenitors of fetal neocortex. eLife 7, e32332 (2018).
Fiddes, I. T. et al. Human-specific NOTCH2NL genes affect notch signaling and cortical neurogenesis. Cell 173, 1356–1369 (2018).
Suzuki, I. K. et al. Human-specific NOTCH2NL genes expand cortical neurogenesis through Delta/Notch regulation. Cell 173, 1370–1384 (2018).
Fischer, J. et al. Human-specific ARHGAP11B ensures human-like basal progenitor levels in hominid cerebral organoids. EMBO Rep. 23, e54728 (2022).
Charrier, C. et al. Inhibition of SRGAP2 function by its human-specific paralogs induces neoteny during spine maturation. Cell 149, 923–935 (2012).
Dennis, M. Y. et al. Evolution of human-specific neural SRGAP2 genes by incomplete segmental duplication. Cell 149, 912–922 (2012).
Schmidt, E. R. E. et al. A human-specific modifier of cortical connectivity and circuit function. Nature 599, 640–644 (2021).
Libé-Philippot, B. et al. Synaptic neoteny of human cortical neurons requires species-specific balancing of SRGAP2–SYNGAP1 cross-inhibition. Neuron 112, 3602–3617 (2024). This study demonstrates how xenotransplantation of human neurons into the mouse brain can uncover the functional effects of a human-specific gene duplication.
Diaz-Salazar, C. et al. Human-specific paralogs of SRGAP2 induce neotenic features of microglia structural and functional maturation. Preprint at bioRxiv https://doi.org/10.1101/2024.06.28.601266 (2024).
Yoo, D. et al. Complete sequencing of ape genomes. Nature 641, 401–418 (2025). This study provides telomere-to-telomere primate genomes and expands identification of human-specific genetic changes.
King, M. C. & Wilson, A. C. Evolution at two levels in humans and chimpanzees. Science 188, 107–116 (1975).
Carroll, S. B. Evo-devo and an expanding evolutionary synthesis: a genetic theory of morphological evolution. Cell 134, 25–36 (2008).
McLean, C. Y. et al. Human-specific loss of regulatory DNA and the evolution of human-specific traits. Nature 471, 216–219 (2011).
Jones, F. C. et al. The genomic basis of adaptive evolution in threespine sticklebacks. Nature 484, 55–61 (2012).
Varki, A. & Altheide, T. K. Comparing the human and chimpanzee genomes: searching for needles in a haystack. Genome Res. 15, 1746–1758 (2005).
Pollard, K. S. et al. An RNA gene expressed during cortical development evolved rapidly in humans. Nature 443, 167–172 (2006).
Bird, C. P. et al. Fast-evolving noncoding sequences in the human genome. Genome Biol. 8, R118 (2007).
Bush, E. C. & Lahn, B. T. A genome-wide screen for noncoding elements important in primate evolution. BMC Evol. Biol. 8, 17 (2008).
Prabhakar, S. et al. Human-specific gain of function in a developmental enhancer. Science 321, 1346–1350 (2008).
Lindblad-Toh, K. et al. A high-resolution map of human evolutionary constraint using 29 mammals. Nature 478, 476–482 (2011).
Gittelman, R. M. et al. Comprehensive identification and analysis of human accelerated regulatory DNA. Genome Res. 25, 1245–1255 (2015).
Girskis, K. M. et al. Rewiring of human neurodevelopmental gene regulatory programs by human accelerated regions. Neuron 109, 3239–3251 (2021).
Uebbing, S. et al. Massively parallel discovery of human-specific substitutions that alter enhancer activity. Proc. Natl Acad. Sci. USA 118, e2007049118 (2021).
Pizzollo, J., Zintel, T. M. & Babbitt, C. C. Differentially active and conserved neural enhancers define two forms of adaptive noncoding evolution in humans. Genome Biol. Evol. 14, evac108 (2022).
Whalen, S. et al. Machine learning dissection of human accelerated regions in primate neurodevelopment. Neuron 111, 857–873 (2023).
Liu, J. et al. A human-specific enhancer fine-tunes radial glia potency and corticogenesis. Nature 643, 1321–1332 (2025). This study uses both mouse and primate brain organoid models to provide compelling evidence that a single, noncoding change in humans can affect neurodevelopment.
Keough, K. C. et al. Three-dimensional genome rewiring in loci with human accelerated regions. Science 380, eabm1696 (2023). This study harnessed newly available mammalian genomes to identify HARs.
Bi, X. et al. Lineage-specific accelerated sequences underlying primate evolution. Sci. Adv. 9, eadc9507 (2023).
Xue, J. R. et al. The functional and evolutionary impacts of human-specific deletions in conserved elements. Science 380, eabn2253 (2023).
Kronenberg, Z. N. et al. High-resolution comparative analysis of great ape genomes. Science 360, eaar6343 (2018).
Mangan, R. J. et al. Adaptive sequence divergence forged new neurodevelopmental enhancers in humans. Cell 185, 4587–4603 (2022).
Luo, Y. et al. Intraspecific sequence variation and complete genomes refine the identification of rapidly evolved regions in humans. Preprint at bioRxiv https://doi.org/10.1101/2025.10.20.683446 (2025).
Rivas-González, I. et al. Pervasive incomplete lineage sorting illuminates speciation and selection in primates. Science 380, eabn4409 (2023).
Song, J. H. T., Lowe, C. B. & Kingsley, D. M. Characterization of a human-specific tandem repeat associated with bipolar disorder and schizophrenia. Am. J. Hum. Genet. 103, 421–430 (2018).
An, N. A. et al. De novo genes with an lncRNA origin encode unique human brain developmental functionality. Nat. Ecol. Evol. 7, 264–278 (2023).
Meyer, M. et al. A high-coverage genome sequence from an archaic Denisovan individual. Science 338, 222–226 (2012).
Prufer, K. et al. The complete genome sequence of a Neanderthal from the Altai Mountains. Nature 505, 43–49 (2014).
Gómez-Robles, A. Dental evolutionary rates and its implications for the Neanderthal–modern human divergence. Sci. Adv. 5, eaaw1268 (2019).
Wolf, A. B. & Akey, J. M. Outstanding questions in the study of archaic hominin admixture. PLoS Genet. 14, e1007349 (2018).
Sankararaman, S. et al. The genomic landscape of Neanderthal ancestry in present-day humans. Nature 507, 354–357 (2014).
Vernot, B. & Akey, J. M. Resurrecting surviving Neanderthal lineages from modern human genomes. Science 343, 1017–1021 (2014).
Wei, X. et al. The lingering effects of Neanderthal introgression on human complex traits. eLife 12, e80757 (2023).
Sankararaman, S., Mallick, S., Patterson, N. & Reich, D. The combined landscape of Denisovan and Neanderthal ancestry in present-day humans. Curr. Biol. 26, 1241–1247 (2016).
Trujillo, C. A. et al. Reintroduction of the archaic variant of NOVA1 in cortical organoids alters neurodevelopment. Science 371, eaax2537 (2021).
Maricic, T. et al. Comment on ‘Reintroduction of the archaic variant of NOVA1 in cortical organoids alters neurodevelopment’. Science 374, eabi6060 (2021).
Mora-Bermúdez, F. et al. Longer metaphase and fewer chromosome segregation errors in modern human than Neanderthal brain development. Sci. Adv. 8, eabn7702 (2022).
Pinson, A. et al. Human TKTL1 implies greater neurogenesis in frontal neocortex of modern humans than Neanderthals. Science 377, eabl6422 (2022).
Herai, R. H., Semendeferi, K. & Muotri, A. R. Comment on ‘Human TKTL1 implies greater neurogenesis in frontal neocortex of modern humans than Neanderthals’. Science 379, eadf0602 (2023).
Richerson, P. J., Boyd, R. & Henrich, J. Gene–culture coevolution in the age of genomics. Proc. Natl Acad. Sci. USA 107, 8985–8992 (2010).
Rohland, N. et al. Three assays for in-solution enrichment of ancient human DNA at more than a million SNPs. Genome Res. 32, 2068–2078 (2022).
Akbari, A. et al. Pervasive findings of directional selection realize the promise of ancient DNA to elucidate human adaptation. Preprint at bioRxiv https://doi.org/10.1101/2024.09.14.613021 (2024). This study realizes the potential of ancient DNA to reveal genetic loci under selection in recent human history, identifying an order of magnitude more loci than prior studies.
David Reich Lab. Allen Ancient Genome Diversity Project/John Templeton Ancient DNA Atlas https://reich.hms.harvard.edu/ancient-genome-diversity-project
Mohiuddin, M., Kooy, R. F. & Pearson, C. E. De novo mutations, genetic mosaicism and human disease. Front. Genet. 13, 934–940 (2022).
Chen, S. et al. A genomic mutational constraint map using variation in 76,156 human genomes. Nature 625, 92–100 (2024).
Kun, E. et al. The genetic architecture and evolution of the human skeletal form. Science 381, eadf8009 (2023). This study demonstrates how large-scale databases containing genotype and phenotype information for modern humans can be used to link genetic loci to potential evolutionary consequences.
Xu, L. et al. The genetic architecture of and evolutionary constraints on the human pelvic form. Science 388, eadq1521 (2025).
Smith, S. M. et al. An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank. Nat. Neurosci. 24, 737–745 (2021).
Xu, K., Schadt, E. E., Pollard, K. S., Roussos, P. & Dudley, J. T. Genomic and network patterns of schizophrenia genetic variation in human evolutionary accelerated regions. Mol. Biol. Evol. 32, 1148–1160 (2015).
Doan, R. N. et al. Mutations in human accelerated regions disrupt cognition and social behavior. Cell 167, 341–354 (2016).
Srinivasan, S. et al. Genetic markers of human evolution are enriched in schizophrenia. Biol. Psychiatry 80, 284–292 (2016).
Song, J. H. et al. Human-specific tandem repeat in CACNA1C modulates responses to neuronal stimulation. Preprint at bioRxiv https://doi.org/10.1101/2025.09.15.676436 (2025).
Splawski, I. et al. CaV1.2 calcium channel dysfunction causes a multisystem disorder including arrhythmia and autism. Cell 119, 19–31 (2004).
Platzer, K. et al. Haploinsufficiency of CUX1 causes nonsyndromic global developmental delay with possible catch-up development. Ann. Neurol. 84, 200–207 (2018).
Shin, T. et al. Rare variation in non-coding regions with evolutionary signatures contributes to autism spectrum disorder risk. Cell Genom. 4, 100609 (2024). This study supports the hypothesis that genetic loci involved in human evolution are preferentially implicated in conditions that affect traits that have evolved in humans, such as cognitive and social behaviors.
Kvon, E. Z. et al. Progressive loss of function in a limb enhancer during snake evolution. Cell 167, 633–642 (2016).
Kim, S. & Wysocka, J. Deciphering the multi-scale, quantitative cis-regulatory code. Mol. Cell 83, 373–392 (2023).
Fair, T. & Pollen, A. A. Genetic architecture of human brain evolution. Curr. Opin. Neurobiol. 80, 102710 (2023).
She, R. et al. Comparative landscape of genetic dependencies in human and chimpanzee stem cells. Cell 186, 2977–2994 (2023).
Krienen, F. M. et al. Innovations present in the primate interneuron repertoire. Nature 586, 262–269 (2020).
Schmitz, M. T. et al. The development and evolution of inhibitory neurons in primate cerebrum. Nature 603, 871–877 (2022).
Bakken, T. E. et al. Comparative cellular analysis of motor cortex in human, marmoset and mouse. Nature 598, 111–119 (2021).
Ma, S. et al. Molecular and cellular evolution of the primate dorsolateral prefrontal cortex. Science 377, eabo7257 (2022).
Caglayan, E. et al. Molecular features driving cellular complexity of human brain evolution. Nature 620, 145–153 (2023). This study demonstrates how transcriptomic and epigenomic single-cell profiling can link genetic loci with signatures of selection in humans to gene targets in specific spatiotemporal contexts.
Jorstad, N. L. et al. Comparative transcriptomics reveals human-specific cortical features. Science 382, eade9516 (2023).
Wang, L. et al. A cross-species proteomic map reveals neoteny of human synapse development. Nature 622, 112–119 (2023).
Kanton, S. et al. Organoid single-cell genomic atlas uncovers human-specific features of brain development. Nature 574, 418–422 (2019).
Pollen, A. A. et al. Establishing cerebral organoids as models of human-specific brain evolution. Cell 176, 743–756 (2019).
Benito-Kwiecinski, S. et al. An early cell shape transition drives evolutionary expansion of the human forebrain. Cell 184, 2084–2102 (2021).
Yap, E.-L. & Greenberg, M. E. Activity-regulated transcription: bridging the gap between neural activity and behavior. Neuron 100, 330–348 (2018).
Ataman, B. et al. Evolution of Osteocrin as an activity-regulated factor in the primate brain. Nature 539, 242–247 (2016).
Qiu, J. et al. Evidence for evolutionary divergence of activity-dependent gene expression in developing neurons. eLife 5, e20337 (2016).
Pruunsild, P., Bengtson, C. P. & Bading, H. Networks of cultured iPSC-derived neurons reveal the human synaptic activity-regulated adaptive gene program. Cell Rep. 18, 122–135 (2017).
Carter, A. C. et al. FOS binding sites are a hub for the evolution of activity-dependent gene regulatory programs in human neurons. Preprint at bioRxiv https://doi.org/10.1101/2025.03.31.646366 (2025).
Agoglia, R. M. et al. Primate cell fusion disentangles gene regulatory divergence in neurodevelopment. Nature 592, 421–427 (2021). This study establishes human–chimpanzee tetraploid cells as a model to distinguish cis- and trans-regulated molecular differences.
Khaitovich, P. et al. Parallel patterns of evolution in the genomes and transcriptomes of humans and chimpanzees. Science 309, 1850–1854 (2005).
Won, H. et al. Chromosome conformation elucidates regulatory relationships in developing human brain. Nature 538, 523–527 (2016).
Song, M. et al. Cell-type-specific 3D epigenomes in the developing human cortex. Nature 587, 644–649 (2020).
Song, J. H. T. et al. Genetic studies of human–chimpanzee divergence using stem cell fusions. Proc. Natl Acad. Sci. USA 118, e2117557118 (2021).
Pavlovic, B. J., Fox, D., Schaefer, N. K. & Pollen, A. A. Rethinking nomenclature for interspecies cell fusions. Nat. Rev. Genet. 23, 315–320 (2022).
Gokhman, D. et al. Human–chimpanzee fused cells reveal cis-regulatory divergence underlying skeletal evolution. Nat. Genet. 53, 467–476 (2021).
Wang, B., Starr, A. L. & Fraser, H. B. Cell type-specific cis-regulatory divergence in gene expression and chromatin accessibility revealed by human–chimpanzee hybrid cells. eLife 12, RP89594 (2024).
Song, J. H. et al. Human–chimpanzee tetraploid system defines mechanisms of species-specific neural gene regulation. Preprint at bioRxiv https://doi.org/10.1101/2025.03.31.646367 (2025).
Boyd, J. L. et al. Human–chimpanzee differences in a FZD8 enhancer alter cell-cycle dynamics in the developing neocortex. Curr. Biol. 25, 772–779 (2015).
Aldea, D. et al. Repeated mutation of a developmental enhancer contributed to human thermoregulatory evolution. Proc. Natl Acad. Sci. USA 118, e2021722118 (2021).
Dutrow, E. V. et al. Modeling uniquely human gene regulatory function via targeted humanization of the mouse genome. Nat. Commun. 13, 304 (2022).
Weiss, C. V. et al. The cis-regulatory effects of modern human-specific variants. eLife 10, e63713 (2021).
Jagoda, E. et al. Detection of Neanderthal adaptively introgressed genetic variants that modulate reporter gene expression in human immune cells. Mol. Biol. Evol. 39, msab304 (2022).
Osterwalder, M. et al. Enhancer redundancy provides phenotypic robustness in mammalian development. Nature 554, 239–243 (2018).
Geller, E. et al. Massively parallel disruption of enhancers active in human neural stem cells. Cell Rep. 43, 113693 (2024).
Cui, X. et al. Comparative characterization of human accelerated regions in neurons. Nature 640, 991–999 (2025).
Fair, T. et al. Mapping cis- and trans-regulatory target genes of human-specific deletions. Nat. Commun. 16, 11380 (2025).
Bower, G. et al. Range extender mediates long-distance enhancer activity. Nature 643, 830–838 (2025).
Johnson, M. B. et al. Aspm knockout ferret reveals an evolutionary mechanism governing cerebral cortical size. Nature 556, 370–375 (2018).
Aida, T. & Feng, G. The dawn of non-human primate models for neurodevelopmental disorders. Curr. Opin. Genet. Dev. 65, 160–168 (2020).
Gallego Romero, I. et al. A panel of induced pluripotent stem cells from chimpanzees: a resource for comparative functional genomics. eLife 4, e07103 (2015).
Zhang, S. C., Wernig, M., Duncan, I. D., Brüstle, O. & Thomson, J. A. In vitro differentiation of transplantable neural precursors from human embryonic stem cells. Nat. Biotechnol. 19, 1129–1133 (2001).
Tcw, J. et al. An efficient platform for astrocyte differentiation from human induced pluripotent stem cells. Stem Cell Rep. 9, 600–614 (2017).
Bocchi, R., Masserdotti, G. & Götz, M. Direct neuronal reprogramming: fast forward from new concepts toward therapeutic approaches. Neuron 110, 366–393 (2022).
Mayhew, C. N. & Singhania, R. A review of protocols for brain organoids and applications for disease modeling. STAR Protoc. 4, 101860 (2022).
Linaro, D. et al. Xenotransplanted human cortical neurons reveal species-specific development and functional integration into mouse visual circuits. Neuron 104, 972–986 (2019).
Revah, O. et al. Maturation and circuit integration of transplanted human cortical organoids. Nature 610, 319–326 (2022).
Schafer, S. T. et al. An in vivo neuroimmune organoid model to study human microglia phenotypes. Cell 186, 2111–2126 (2023).
Smaers, J. B., Gómez-Robles, A., Parks, A. N. & Sherwood, C. C. Exceptional evolutionary expansion of prefrontal cortex in great apes and humans. Curr. Biol. 27, 714–720 (2017).
Petanjek, Z. et al. Extraordinary neoteny of synaptic spines in the human prefrontal cortex. Proc. Natl Acad. Sci. USA 108, 13281–13286 (2011).
Miller, D. J. et al. Prolonged myelination in human neocortical evolution. Proc. Natl Acad. Sci. USA 109, 16480–16485 (2012).
Mehrmohamadi, M., Sepehri, M. H., Nazer, N. & Norouzi, M. R. A comparative overview of epigenomic profiling methods. Front. Cell Dev. Biol. 9, 714687 (2021).
Acknowledgements
We thank K. Probst for assistance with figure visualization. C.A.W., M.E.G. and D.R. were supported by Allen Family Philanthropies. C.A.W. and D.R. are Howard Hughes Medical Institute Investigators.
Author information
Authors and Affiliations
Contributions
Conceptualization: J.H.T.S., M.E.G., D.R. and C.A.W. Writing, original draft: J.H.T.S. Writing, review and editing: J.H.T.S., M.E.G., D.R. and C.A.W.
Corresponding authors
Ethics declarations
Competing interests
C.A.W. is on the Scientific Advisory Boards of Bioskyrb Genomics (cash, equity) and Mosaica Therapeutics (cash, equity) and is an advisor to Maze Therapeutics (equity) and CAMP4 (cash), but these have no relevance to this work. The remaining authors declare no competing interests.
Peer review
Peer review information
Nature Neuroscience thanks the anonymous reviewer(s) for their contribution to the peer review of this work.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Song, J.H.T., Greenberg, M.E., Reich, D. et al. Genomic approaches for understanding the evolution of the human brain. Nat Neurosci 29, 1036–1047 (2026). https://doi.org/10.1038/s41593-026-02277-1
Received:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41593-026-02277-1


