Hostname: page-component-76fb5796d-qxdb6 Total loading time: 0 Render date: 2024-04-25T09:42:11.088Z Has data issue: false hasContentIssue false

Evolutionary Trends of Polygenic Scores in European Populations From the Paleolithic to Modern Times

Published online by Cambridge University Press:  06 March 2024

Davide Piffer*
Affiliation:
Independent Scholars
Emil O. W. Kirkegaard
Affiliation:
Independent Scholars
*
Corresponding author: Davide Piffer; Email: pifferdavide@gmail.com
Get access

Abstract

This study examines the temporal and geographical evolution of polygenic scores (PGSs) across cognitive measures (Educational Attainment [EA], Intelligence Quotient [IQ]), Socioeconomic Status (SES), and psychiatric conditions (Autism Spectrum Disorder [ASD], schizophrenia [SCZ]) in various populations. Our findings indicate positive directional selection for EA, IQ, and SES traits over the past 12,000 years. Schizophrenia and autism, while similar, showed different temporal patterns, aligning with theories suggesting they are psychological opposites. We observed a decline in PGS for neuroticism and depression, likely due to their genetic correlations and pleiotropic effects on intelligence. Significant PGS shifts from the Upper Paleolithic to the Neolithic periods suggest lifestyle and cognitive demand changes, particularly during the Neolithic Revolution. The study supports a mild hypothesis of Gregory Clark’s model, showing a noticeable rise in genetic propensities for intelligence, academic achievement and professional status across Europe from the Middle Ages to the present. While latitude strongly influenced height, its impact on schizophrenia and autism was smaller and varied. Contrary to the cold winters theory, the study found no significant correlation between latitude and intelligence.

Type
Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of International Society for Twin Studies

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1000 Genomes Project Consortium. (2015). A global reference for human genetic variation. Nature, 526, 6874. https://doi.org/10.1038/nature15393 CrossRefGoogle Scholar
Akimova, E. T., Wolfram, T., Ding, X., Tropf, F. C., & Mills, M. C. (2023). Polygenic predictions of occupational status GWAS elucidate genetic and environmental interplay for intergenerational status transmission, careers, and health. bioRxiv. https://doi.org/10.1101/2023.03.31.534944 CrossRefGoogle Scholar
Alexander, D.H., Novembre, J., & Lange, K. (2009). Fast model-based estimation of ancestry in unrelated individuals. Genome Research, 19, 16551664. https://doi.org/10.1101/gr.094052.109 CrossRefGoogle ScholarPubMed
Allentoft, M. E., Sikora, M., Sjögren, K. G., Rasmussen, S., Rasmussen, M., Stenderup, J., Damgaard, P. B., Schroeder, H., Ahlström, T., Vinner, L., Malaspinas, A. S., Margaryan, A., Higham, T., Chivall, D., Lynnerup, N., Harvig, L., Baron, J., Della Casa, P., Dąbrowski, P., Duffy, P. R., … Willerslev, E. (2015). Population genomics of Bronze Age Eurasia. Nature, 522, 167172. https://doi.org/10.1038/nature14507 CrossRefGoogle ScholarPubMed
Als, T. D., Kurki, M. I., Grove, J., Voloudakis, G., Therrien, K., Tasanko, E., Nielsen, T. T., Naamanka, J., Veerapen, K., Levey, D. F., Bendl, J., Bybjerg-Grauholm, J., Zeng, B., Demontis, D., Rosengren, A., Athanasiadis, G., Bækved-Hansen, M., Qvist, P., Bragi Walters, G., Thorgeirsson, T., … Børglum, A. D. (2023). Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses. Nature Medicine, 29, 18321844. https://doi.org/10.1038/s41591-023-02352-1 CrossRefGoogle ScholarPubMed
Anglim, J., Dunlop, P. D., Wee, S., Horwood, S.,Wood, J. K., Marty, A. (2022). Personality and intelligence: A meta-analysis. Psychological Bulletin, 148, 301336. doi: 10.1037/bul0000373 CrossRefGoogle Scholar
Antonio, M. L., Gao, Z., Moots, H. M., Lucci, M., Candilio, F., Sawyer, S., Oberreiter, V., Calderon, D., Devitofranceschi, K., Aikens, R. C., Aneli, S., Bartoli, F., Bedini, A., Cheronet, O., Cotter, D. J., Fernandes, D. M., Gasperetti, G., Grifoni, R., Guidi, A., La Pastina, F., … Pritchard, J. K. (2019). Ancient Rome: A genetic crossroads of Europe and the Mediterranean. Science, 366, 708714. https://doi.org/10.1126/science.aay6826 CrossRefGoogle Scholar
Bilder, R. M., Goldman, R. S., Robinson, D., Reiter, G., Bell, L., Bates, J. A., Pappadopulos, E., Willson, D. F., Alvir, J. M. J., Woerner, M. G., Geisler, S., Kane, J. M., & Lieberman, J. A. (2000). Neuropsychology of first-episode schizophrenia: Initial characterization and clinical correlates. American Journal of Psychiatry, 157, 549559. https://doi.org/10.1176/appi.ajp.157.4.549 CrossRefGoogle ScholarPubMed
Borbonus, D. (2019). Columbarium tombs and collective identity in Augustan Rome. Cambridge University Press.Google Scholar
Brace, S., Diekmann, Y., Booth, T. J., van Dorp, L., Faltyskova, Z., Rohland, N., Mallick, S., Olalde, I., Ferry, M., Michel, M., Oppenheimer, J., Broomandkhoshbacht, N., Stewardson, K., Martiniano, R., Walsh, S., Kayser, M., Charlton, S., Hellenthal, G., Armit, I., Barnes I. (2019). Ancient genomes indicate population replacement in Early Neolithic Britain. Nature Ecology & Evolution, 3, 765771. https://doi.org/10.1038/s41559-019-0871-9 CrossRefGoogle ScholarPubMed
Byrne, R. W., & Whiten, A. (Eds.). (1988). Machiavellian intelligence: Social expertise and the evolution of intellect in monkeys, apes, and humans. Clarendon Press/Oxford University Press.Google Scholar
Chang, C. C., Chow, C. C., Tellier, L. C. A. M., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015). Second-generation PLINK: rising to the challenge of larger and richer datasets. GigaScience, 4, 7. https://doi.org/10.1186/s13742-015-0047-8 CrossRefGoogle Scholar
Chintalapati, M., Patterson, N., & Moorjani, P. (2022). The spatiotemporal patterns of major human admixture events during the European Holocene. eLife, 11, e77625. https://doi.org/10.7554/eLife.77625 CrossRefGoogle ScholarPubMed
Clark, G. (2007). A farewell to alms: A brief economic history of the world. Princeton University Press.CrossRefGoogle Scholar
Comes, A. L., Senner, F., Budde, M., Adorjan, K., Anderson-Schmidt, H., Andlauer, T. F. M, Gade, K., Hake, M., Heilbronner, U., Kalman, J. L., Reich-Erkelenz, D., Klöhn-Saghatolislam, F., Schaupp, S. K., Schulte, E. C., Juckel, G., Dannlowski, U., Schmauß, M., Zimmermann, J., Reimer, J., Papiol, S. (2019). The genetic relationship between educational attainment and cognitive performance in major psychiatric disorders. Translational Psychiatry, 9, 210. https://doi.org/10.1038/s41398-019-0547-x CrossRefGoogle ScholarPubMed
Crespi, B., & Badcock, C. (2008). Psychosis and autism as diametrical disorders of the social brain. Behavioral and Brain Sciences, 31, 241261. https://doi.org/10.1017/S0140525X08004214 CrossRefGoogle ScholarPubMed
Crespi, B. J., Stead, P., & Elliot, M. (2010). Comparative genomics of autism and schizophrenia. Proceedings of the National Academy of Sciences of the United States of America, 107, 17361741. https://doi.org/10.1073/pnas.0906080106 CrossRefGoogle ScholarPubMed
Cullen, B., Nicholl, B. I., Mackay, D. F., Martin, D., Ul-Haq, Z., McIntosh, A., Gallacher, J., Deary, I. J., Pell, J. P., Evans, J. J., & Smith, D. J. (2015). Cognitive function and lifetime features of depression and bipolar disorder in a large population sample: Cross-sectional study of 143,828 UK Biobank participants. European Psychiatry, 30, 950958. https://doi.org/10.1016/j.eurpsy.2015.08.006 CrossRefGoogle Scholar
DeSilva, J. M., Traniello, J. F. A., Claxton, A. G., & Fannin, L. D. (2021). When and why did human brains decrease in size? A new change-point analysis and insights from brain evolution in ants. Frontiers in Ecology and Evolution, 9, Article 742639. https://doi.org/10.3389/fevo.2021.742639 CrossRefGoogle Scholar
Diamond, J. (1997). Guns, germs, and steel: The fates of human societies. W.W. Norton & Company.Google Scholar
Fischer, C.-E., Pemonge, M.-H., Ducoussau, I., Arzelier, A., Rivollat, M., Santos, F., Barrand Emam, H., Bertaud, A., Beylier, A., Ciesielski, E., Dedet, B., Desenne, S., Duday, H., Chenal, F., Gailledrat, E., Goepfert, S., Gorgé, O., Gorgues, A., Kuhnle, G., Pruvost, M. (2022). Origin and mobility of Iron Age Gaulish groups in present-day France revealed through archaeogenomics. iScience, 25, Article 104094. https://doi.org/10.1016/j.isci.2022.104094 CrossRefGoogle ScholarPubMed
Galton, F. (1869). Hereditary genius: An inquiry into its laws and consequences. Macmillan and Co.CrossRefGoogle Scholar
Gil-Espinosa, F. J., Chillón, P., Fernández-García, J. C., & Cadenas-Sanchez, C. (2020). Association of physical fitness with intelligence and academic achievement in adolescents. International Journal of Environmental Research and Public Health, 17, 4362. https://doi.org/10.3390/ijerph17124362 CrossRefGoogle ScholarPubMed
Glahn, D. C., Almasy, L., Blangero, J., Burk, G. M., Estrada, J., Peralta, J. M., Meyenberg, N., Castro, M. P., Barrett, J., Nicolini, H., Raventós, H., Escamilla, M. A. (2007). Adjudicating neurocognitive endophenotypes for schizophrenia. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 144B, 242249. https://doi.org/10.1002/ajmg.b.30446 CrossRefGoogle ScholarPubMed
Goldberg, T. E., Burdick, K. E., McCormack, J., Napolitano, B., Patel, R. C., Sevy, S. M., Goldman, R., Lencz, T., Malhotra, A. K., Kane, J. M., Robinson, D. G. (2009). Lack of an inverse relationship between duration of untreated psychosis and cognitive function in first episode schizophrenia. Schizophrenia Research, 107, 262266. https://doi.org/10.1016/j.schres.2008.11.003 CrossRefGoogle ScholarPubMed
González-Peñas, J., de Hoyos, L., Díaz-Caneja, C. M., Andreu-Bernabeu, Á., Stella, C., Gurriarán, X., Fañanás, L., Bobes, J., González-Pinto, A., Crespo-Facorro, B., Martorell, L., Vilella, E., Muntané, G., Molto, M. D., Gonzalez-Piqueras, J. C., Parellada, M., Arango, C., & Costas, J. (2023). Recent natural selection conferred protection against schizophrenia by non-antagonistic pleiotropy. Scientific Reports, 13, 15500. https://doi.org/10.1038/s41598-023-42578-0 CrossRefGoogle ScholarPubMed
Gottesman, I. I., & Gould, T. D. (2003). The endophenotype concept in psychiatry: Etymology and strategic intentions. American Journal of Psychiatry, 160, 636645. https://doi.org/10.1176/appi.ajp.160.4.636 CrossRefGoogle ScholarPubMed
Grabowski, M. (2016). Bigger brains led to bigger bodies?: The correlated evolution of human brain and body size. Current Anthropology, 57, 174196. https://doi.org/10.1086/685655 CrossRefGoogle Scholar
Gretzinger, J., Sayer, D., Justeau, P., Altena, E., Pala, M., Dulias, K., Edwards, C. J., Jodoin, S., Lacher, L., Sabin, S., Vågene, Å. J., Haak, W., Ebenesersdóttir, S. S., Moore, K. H. S., Radzeviciute, R., Schmidt, K., Brace, S., Bager, M. A., Patterson, N., Papac, L., … Schiffels, S. (2022). The Anglo-Saxon migration and the formation of the early English gene pool. Nature, 610, 112119. https://doi.org/10.1038/s41586-022-05247-2 CrossRefGoogle ScholarPubMed
Grove, J., Ripke, S., Als, T. D., Mattheisen, M., Walters, R. K., Won, H., Pallesen, J., Agerbo, E., Andreassen, O. A., Anney, R., Awashti, S., Belliveau, R., Bettella, F., Buxbaum, J. D., Bybjerg-Grauholm, J., Bækvad-Hansen, M., Cerrato, F., Chambert, K., Christensen, J. H., Churchhouse, C., … Børglum, A. D. (2019). Identification of common genetic risk variants for autism spectrum disorder. Nature Genetics, 51, 431444. https://doi.org/10.1038/s41588-019-0344-8 CrossRefGoogle ScholarPubMed
Haak, W., Balanovsky, O., Sanchez, J. J., Koshel, S., Zaporozhchenko, V., Adler, C. J., Der Sarkissian, C. S., Brandt, G., Schwarz, C., Nicklisch, N., Dresely, V., Fritsch, B., Balanovska, E., Villems, R., Meller, H., Alt, K. W., Cooper, A., & Members of the Genographic Consortium. (2010). Ancient DNA from European early Neolithic farmers reveals their near eastern affinities. PLoS Biology, 8, e1000536. https://doi.org/10.1371/journal.pbio.1000536 CrossRefGoogle ScholarPubMed
Henrich, J. (2015). The secret of our success: How culture is driving human evolution, domesticating our species, and making us smarter. Princeton University Press.CrossRefGoogle Scholar
Hill, W. D., Davies, G. CHARGE Cognitive Working Group, Liewald, D. C., McIntosh, A. M., & Deary, I. J. (2016). Age-dependent pleiotropy between general cognitive function and major psychiatric disorders. Biological Psychiatry, 80, 266273. https://doi.org/10.1016/j.biopsych.2015.07.025 CrossRefGoogle ScholarPubMed
Hope, V. M. (2007) Death in Ancient Rome. A sourcebook. Routledge.CrossRefGoogle Scholar
Irving-Pease, E. K., Refoyo-Martínez, A., Barrie, W., Ingason, A., Pearson, A., Fischer, A., Sjögren, K. G., Halgren, A. S., Macleod, R., Demeter, F., Henriksen, R. A., Vimala, T., McColl, H., Vaughn, A. H., Speidel, L., Stern, A. J., Scorrano, G., Ramsøe, A., Schork, A. J., Willerslev, E. (2024). The selection landscape and genetic legacy of ancient Eurasians. Nature, 625, 312320. https://doi.org/10.17863/CAM.102009 CrossRefGoogle ScholarPubMed
Keefe, R. S. E. (2008). Should cognitive impairment be included in the diagnostic criteria for schizophrenia? World Psychiatry, 7, 2228. https://doi.org/10.1002/j.2051-5545.2008.tb00142.x CrossRefGoogle ScholarPubMed
Kim, Y., Saunders, G. R. B., Giannelis, A., Willoughby, E. A., DeYoung, C. G., & Lee, J. J. (2023). Genetic and neural bases of the neuroticism general factor. Biological Psychology, 184, 108692. https://doi.org/10.1016/j.biopsycho.2023.108692 CrossRefGoogle ScholarPubMed
Kondor, D., Bennett, J. S., Gronenborn, D., Antunes, N., Hoyer, D., & Turchin, P. (2023). Explaining population booms and busts in Mid-Holocene Europe. Scientific Reports, 13, 9310. https://doi.org/10.1038/s41598-023-35920-z CrossRefGoogle ScholarPubMed
Kuijpers, Y., Domínguez-Andrés, J., Bakker, O. B., Gupta, M. K., Grasshoff, M., Xu, C. J., Joosten, L. A. B., Bertranpetit, J., Netea, M. G., & Li, Y. (2022). Evolutionary trajectories of complex traits in European populations of modern humans. Frontiers in Genetics, 13, 833190. https://doi.org/10.3389/fgene.2022.833190 CrossRefGoogle ScholarPubMed
Lam, M., Trampush, J. W., Yu, J., Knowles, E., Davies, G., Liewald, D. C., Starr, J. M., Djurovic, S., Melle, I., Sundet, K., Christoforou, A., Reinvang, I., DeRosse, P., Lundervold, A. J., Steen, V. M., Espeseth, T., Räikkönen, K., Widen, E., Palotie, A., Lencz, T. (2017). Large-scale cognitive GWAS meta-analysis reveals tissue-specific neural expression and potential nootropic drug targets. Cell Reports, 21, 25972613. https://doi.org/10.1016/j.celrep.2017.06.066 CrossRefGoogle ScholarPubMed
Lazaridis, I., Alpaslan-Roodenberg, S., Acar, A., Açıkkol, A., Agelarakis, A., Aghikyan, L., Akyüz, U., Andreeva, D., Andrijašević, G., Antonović, D., Armit, I., Atmaca, A., Avetisyan, P., Aytek, A. İ., Bacvarov, K., Badalyan, R., Bakardzhiev, S., Balen, J., Bejko, L., Bernardos, R., … Davtyan, R. (2022). The genetic history of the Southern Arc: A bridge between West Asia and Europe. Science, 377, eabm4247. https://doi.org/10.1126/science.abm4247 CrossRefGoogle ScholarPubMed
Lederbogen, F., Kirsch, P., Haddad, L., Streit, F., Tost, H., Schuch, P., … & Meyer-Lindenberg, A. (2011). City living and urban upbringing affect neural social stress processing in humans. Nature, 474, 498501. https://doi.org/10.1038/nature10190 CrossRefGoogle Scholar
Lee, J. J., Wedow, R., Okbay, A., Kong, E., Maghzian, O., Zacher, M., Nguyen-Viet, T. A., Bowers, P., Sidorenko, J., Karlsson Linnér, R., Fontana, M. A., Kundu, T., Lee, C., Li, H., Li, R., Royer, R., Timshel, P. N., Walters, R. K., Willoughby, E. A., Yengo, L., … Cesarini, D. (2018). Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics, 50, 11121121. https://doi.org/10.1038/s41588-018-0147-3 CrossRefGoogle ScholarPubMed
Lencz, T., Knowles, E., Davies, G., Guha, S., Liewald, D. C., Starr, J. M., Djurovic, S., Melle, I., Sundet, K., Christoforou, A., Reinvang, I., Mukherjee, S., DeRosse, P., Lundervold, A., Steen, V. M., John, M., Espeseth, T., Räikkönen, K., Widen, E., Malhotra, A. K. (2014). Molecular genetic evidence for overlap between general cognitive ability and risk for schizophrenia: A report from the Cognitive Genomics Consortium (COGENT). Molecular Psychiatry, 19, 168174. https://doi.org/10.1038/mp.2013.57 CrossRefGoogle Scholar
Lencz, T., Smith, C. W., McLaughlin, D., Auther, A., Nakayama, E., Hovey, L., & Cornblatt, B. A. (2006). Generalized and specific neurocognitive deficits in prodromal schizophrenia. Biological Psychiatry, 59, 863871. https://doi.org/10.1016/j.biopsych.2005.11.015 CrossRefGoogle ScholarPubMed
Lim, J., Oh, I. K., Han, C., Huh, Y. J., Jung, I. K., Patkar, A. A., Steffens, D. C., & Jang, B. H. (2013). Sensitivity of cognitive tests in four cognitive domains in discriminating MDD patients from healthy controls: A meta-analysis. International Psychogeriatrics, 25, 15431557. https://doi.org/10.1017/S1041610213000689 CrossRefGoogle ScholarPubMed
Lynn, R. (1991). Race differences in intelligence: A global perspective. Mankind Quarterly, 31, 255296. https://doi.org/10.46469/mq.1991.31.3.5 CrossRefGoogle Scholar
Lynn, R. (2006). Race differences in intelligence: An evolutionary analysis. Washington Summit Publishers.Google Scholar
Marcelis, M., Takei, N., & van Os, J. (1999). Urbanization and risk for schizophrenia: Does the effect operate before or around the time of illness onset? Psychological Medicine, 29, 11971203. https://doi.org/10.1017/S0033291799008968 CrossRefGoogle ScholarPubMed
Margaryan, A., Lawson, D. J., Sikora, M., Racimo, F., Rasmussen, S., Moltke, I., Cassidy, L. M., Jørsboe, E., Ingason, A., Pedersen, M. W., Korneliussen, T., Wilhelmson, H., Buś, M. M., de Barros Damgaard, P., Martiniano, R., Renaud, G., Bhérer, C., Moreno-Mayar, J. V., Fotakis, A. K., Willerslev, E. (2020). Population genomics of the Viking world. Nature, 585, 390396. https://doi.org/10.1038/s41586-020-2688-8 CrossRefGoogle ScholarPubMed
Mathieson, I., Alpaslan-Roodenberg, S., Posth, C., Szécsényi-Nagy, A., Rohland, N., Mallick, S., Olalde, I., Broomandkhoshbacht, N., Candilio, F., Cheronet, O., Fernandes, D., Ferry, M., Gamarra, B., Fortes, G. G., Haak, W., Harney, E., Jones, E., Keating, D., Krause-Kyora, B., Kucukkalipci, I., … Reich, D. (2018). The genomic history of southeastern Europe. Nature, 555, 197203. https://doi.org/10.1038/nature25778 CrossRefGoogle ScholarPubMed
Merz, E. C., Strack, J., Hurtado, H., Vainik, U., Thomas, M., Evans, A., & Khundrakpam, B. (2022). Educational attainment polygenic scores, socioeconomic factors, and cortical structure in children and adolescents. Human Brain Mapping, 43, 48864900. https://doi.org/10.1002/hbm.26034 CrossRefGoogle ScholarPubMed
Mummert, A., Esche, E., Robinson, J., & Armelagos, G. J. (2011). Stature and robusticity during the agricultural transition: Evidence from the bioarchaeological record. Economics and Human Biology, 9, 284301. https://doi.org/10.1016/j.ehb.2011.03.004 CrossRefGoogle ScholarPubMed
Ohi, K., Sumiyoshi, C., Fujino, H., Yasuda, Y., Yamamori, H., Fujimoto, M., Shiino, T., Sumiyoshi, T., & Hashimoto, R. (2018). Genetic overlap between general cognitive function and schizophrenia: A review of cognitive GWASs. International Journal of Molecular Sciences, 19, 3822. https://doi.org/10.3390/ijms19123822 CrossRefGoogle ScholarPubMed
Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., Turley, P., Chen, G. B., Emilsson, V., Meddens, S. F., Oskarsson, S., Pickrell, J. K., Thom, K., Timshel, P., de Vlaming, R., Abdellaoui, A., Ahluwalia, T. S., Bacelis, J., Baumbach, C., Benjamin, D. J. (2016). Genome-wide association study identifies 74 loci associated with educational attainment. Nature, 533, 539542. https://doi.org/10.1038/nature17671 CrossRefGoogle ScholarPubMed
Okbay, A., Wu, Y., Wang, N., Jayashankar, H., Bennett, M., Nehzati, S. M., Sidorenko, J., Kweon, H., Goldman, G., Gjorgjieva, T., Jiang, Y., Hicks, B., Tian, C., Hinds, D. A., Ahlskog, R., Magnusson, P. K. E., Oskarsson, S., Hayward, C., Campbell, A., Porteous, D. J., … Young, A. I. (2022). Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals. Nature Genetics, 54, 437449. https://doi.org/10.1038/s41588-022-01016-z CrossRefGoogle ScholarPubMed
Olalde, I., Brace, S., Allentoft, M. E., Armit, I., Kristiansen, K., Booth, T., Rohland, N., Mallick, S., Szécsényi-Nagy, A., Mittnik, A., Altena, E., Lipson, M., Lazaridis, I., Harper, T. K., Patterson, N., Broomandkhoshbacht, N., Diekmann, Y., Faltyskova, Z., Fernandes, D., Ferry, M., … Reich, D. (2018). The Beaker phenomenon and the genomic transformation of northwest Europe. Nature, 555, 190196. https://doi.org/10.1038/nature25738 CrossRefGoogle ScholarPubMed
Pearce, J., Millett, M., & Struck, M. (Eds.) (2000). Burial, society and context in the Roman world. Oxbow.Google Scholar
Piffer, D., Dutton, E., & Kirkegaard, E. O. W. (2023). Intelligence trends in Ancient Rome: The rise and fall of Roman polygenic scores. OpenPsych. https://doi.org/10.26775/op.2023.07.21 CrossRefGoogle Scholar
Plomin, R., & Deary, I. J. (2015). Genetics and intelligence differences: five special findings. Molecular Psychiatry, 20, 98108. https://doi.org/10.1038/mp.2014.105 CrossRefGoogle ScholarPubMed
Posth, C., Yu, H., Ghalichi, A., Rougier, H., Crevecoeur, I., Huang, Y., Ringbauer, H., Rohrlach, A. B., Nägele, K., Villalba-Mouco, V., Radzeviciute, R., Ferraz, T., Stoessel, A., Tukhbatova, R., Drucker, D. G., Lari, M., Modi, A., Vai, S., Saupe, T., Scheib, C. L., … Krause, J. (2023). Palaeogenomics of Upper Palaeolithic to Neolithic European hunter-gatherers. Nature, 615, 117126. https://doi.org/10.1038/s41586-023-05726-0 CrossRefGoogle ScholarPubMed
Posth, C., Zaro, V., Spyrou, M. A., Vai, S., Gnecchi-Ruscone, G. A., Modi, A., Peltzer, A., Mötsch, A., Nägele, K., Vågene, Å. J., Nelson, E. A., Radzevičiūtė, R., Freund, C., Bondioli, L. M., Cappuccini, L., Frenzel, H., Pacciani, E., Boschin, F., Capecchi, G., Martini, I., … Krause, J. (2021). The origin and legacy of the Etruscans through a 2000-year archeogenomic time transect. Science Advances, 7, eabi7673. https://doi.org/10.1126/sciadv.abi7673 CrossRefGoogle ScholarPubMed
Purcell, S., & Chang, C. (2023). PLINK 2.0. www.cog-genomics.org/plink/2.0/ Google Scholar
Racimo, F., Woodbridge, J., Fyfe, R. M., Sikora, M., Sjögren, K. G., Kristiansen, K., & Vander Linden, M. (2020). The spatiotemporal spread of human migrations during the European Holocene. Proceedings of the National Academy of Sciences of the United States of America, 117, 89899000. https://doi.org/10.1073/pnas.1920051117 CrossRefGoogle ScholarPubMed
R Core Team. (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/.Google Scholar
Reichenberg, A., Caspi, A., Harrington, H., Houts, R., Keefe, R. S., Murray, R. M., Poulton, R., & Moffitt, T. E. (2010). Static and dynamic cognitive deficits in childhood preceding adult schizophrenia: A 30-year study. American Journal of Psychiatry, 167, 160169. https://doi.org/10.1176/appi.ajp.2009.09050541 CrossRefGoogle ScholarPubMed
Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H.-J., Shakhbazov, K., Abdellaoui, A., Agrawal, A., Albrecht, E., Alizadeh, B. Z., Amin, N., Barnard, J., Baumeister, S. E., Benke, K. S., Bielak, L. F., Boatman, J. A., Boyle, P. A., … Koellinger, P. D. (2013). GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science, 340, 14671471. https://doi.org/10.1126/science.1235488 CrossRefGoogle ScholarPubMed
Rivollat, M., Rohrlach, A. B., Ringbauer, H., Childebayeva, A., Mendisco, F., Barquera, R., Szolek, A., Le Roy, M., Colleran, H., Tuke, J., Aron, F., Pemonge, M. H., Späth, E., Télouk, P., Rey, L., Goude, G., Balter, V., Krause, J., Rottier, S., Deguilloux, M. F., … Haak, W. (2023). Extensive pedigrees reveal the social organization of a Neolithic community. Nature, 620, 600606. https://doi.org/10.1038/s41586-023-06350-8 CrossRefGoogle ScholarPubMed
Rubinacci, S., Hofmeister, R. J., Sousa da Mota, B., & Delaneau, O. (2023). Imputation of low-coverage sequencing data from 150,119 UK Biobank genomes. Nature Genetics, 55, 10881090. https://doi.org/10.1038/s41588-023-01438-3 CrossRefGoogle ScholarPubMed
Shultz, S., & Dunbar, R. I. M. (2022). Socioecological complexity in primate groups and its cognitive correlates. Philosophical Transactions of the Royal Society B, 377, 20210296. https://doi.org/10.1098/rstb.2021.0296 CrossRefGoogle ScholarPubMed
Skoglund, P., Malmström, H., Omrak, A., Raghavan, M., Valdiosera, C., Günther, T., Hall, P., Tambets, K., Parik, J., Sjögren, K. G., Apel, J., Willerslev, E., Storå, J., Götherström, A., & Jakobsson, M. (2014). Genomic diversity and admixture differs for Stone-Age Scandinavian foragers and farmers. Science, 344, 747750. https://doi.org/10.1126/science.1253448 CrossRefGoogle ScholarPubMed
Skourtanioti, E., Ringbauer, H., Gnecchi Ruscone, G. A., Bianco, R. A., Burri, M., Freund, C., Furtwängler, A., Gomes Martins, N. F., Knolle, F., Neumann, G. U., Tiliakou, A., Agelarakis, A., Andreadaki-Vlazaki, M., Betancourt, P., Hallager, B. P., Jones, O. A., Kakavogianni, O., Kanta, A., Karkanas, P., Kataki, E., … Stockhammer, P. W. (2023). Ancient DNA reveals admixture history and endogamy in the prehistoric Aegean. Nature Ecology & Evolution, 7, 290303. https://doi.org/10.1038/s41559-022-01952-3 Google ScholarPubMed
Smeland, O. B., Frei, O., Kauppi, K., Hill, W. D., Li, W., Wang, Y., Krull, F., Bettella, F., Eriksen, J. A., Witoelar, A., Davies, G., Fan, C. C., Thompson, W. K., Lam, M., Lencz, T., Chen, C. H., Ueland, T., Jönsson, E. G., Djurovic, S., Andreassen O. A.; NeuroCHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Cognitive Working Group. (2017). Identification of genetic loci jointly influencing schizophrenia risk and the cognitive traits of verbal-numerical reasoning, reaction time, and general cognitive function. JAMA Psychiatry, 74, 10651075. https://doi.org/10.1001/jamapsychiatry.2017.2966 CrossRefGoogle ScholarPubMed
Snitz, B. E., Macdonald, A. W. 3rd, & Carter, C. S. (2006). Cognitive deficits in unaffected first-degree relatives of schizophrenia patients: A meta-analytic review of putative endophenotypes. Schizophrenia Bulletin, 32, 179194. https://doi.org/10.1093/schbul/sbi048 CrossRefGoogle ScholarPubMed
Snyder, H. R. (2013). Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: A meta-analysis and review. Psychological Bulletin, 139, 81132. https://doi.org/10.1037/a0028727 CrossRefGoogle ScholarPubMed
Sousa da Mota, B., Rubinacci, S., Cruz Dávalos, D. I., Amorim, C. E., G, Sikora, M., Johannsen, N. N., Szmyt, M. H., Włodarczak, P., Szczepanek, A., Przybyła, M. M., Schroeder, H., Allentoft, M. E., Willerslev, E., Malaspinas, A. S., & Delaneau, O. (2023). Imputation of ancient human genomes. Nature Communications, 14, 3660. https://doi.org/10.1038/s41467-023-39202-0 CrossRefGoogle ScholarPubMed
Stibel, J. M. (2021). Decreases in brain size and encephalization in anatomically modern humans. Brain, Behavior and Evolution, 96, 6477. https://doi.org/10.1159/000519504 CrossRefGoogle ScholarPubMed
Stulp, G., Bonnell, T., & Barrett, L. (2023). Simulating the evolution of height in the Netherlands in recent history. The History of the Family, 28, 434456. https://doi.org/10.1080/1081602X.2023.2192193 CrossRefGoogle Scholar
Tallavaara, M., Luoto, M., Korhonen, N., Järvinen, H., & Seppä, H. (2015). Human population dynamics in Europe over the Last Glacial Maximum. Proceedings of the National Academy of Sciences of the United States of America, 112, 82328237. https://doi.org/10.1073/pnas.1503784112 CrossRefGoogle ScholarPubMed
Tomasello, M. (1999). The cultural origins of human cognition. Harvard University Press.Google Scholar
Trubetskoy, V., Pardiñas, A.F., Qi, T., Panagiotaropoulou, G., Awasthi, S., Bigdeli, T. B., Bryois, J., Chen, C. Y., Dennison, C. A., Hall, L. S., Lam, M., Watanabe, K., Frei, O., Ge, T., Harwood, J. C., Koopmans, F., Magnusson, S., Richards, A. L., Sidorenko, J., O’Donovan, M. C.; Schizophrenia Working Group of the Psychiatric Genomics Consortium. (2022). Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature, 604, 502508. https://doi.org/10.1038/s41586-022-04434-5.CrossRefGoogle ScholarPubMed
Trzaskowski, M., Harlaar, N., Arden, R., Krapohl, E., Rimfeld, K., McMillan, A., Dale, P. S., & Plomin, R. (2014). Genetic influence on family socioeconomic status and children’s intelligence. Intelligence, 42, 8388. https://doi.org/10.1016/j.intell.2013.11.002 CrossRefGoogle ScholarPubMed
van Os, J., Kenis, G., & Rutten, B. P. F. (2010). The environment and schizophrenia. Nature, 468, 203212. https://doi.org/10.1038/nature09563 CrossRefGoogle ScholarPubMed
Vásárhelyi, Z., & Scheuring, I. (2018). Behavioral specialization during the Neolithic — An evolutionary model. Frontiers in Sociology, 3, 35. https://doi.org/10.3389/fsoc.2018.00035 CrossRefGoogle Scholar
Woodley, M., Younuskunju, S., Balan, B., & Piffer, D. (2017). Holocene selection for variants associated with general cognitive ability: Comparing ancient and modern genomes. Twin Research and Human Genetics, 20, 271280. https://doi.org/10.1017/thg.2017.37 CrossRefGoogle ScholarPubMed
Wray, A., & Grace, G. W. (2007). The consequences of talking to strangers: Evolutionary corollaries of socio-cultural influences on linguistic form. Lingua, 117, 543578. https://doi.org/10.1016/j.lingua.2005.05.005 CrossRefGoogle Scholar
Xu, C., Sun, J., Ji, F., Tian, X., Duan, H., Zhai, Y., Wang, S., Pang, Z., Zhang, D., Zhao, Z., Li, S., Hjelmborg, J. V., Christensen, K., & Tan, Q. (2015). The genetic basis for cognitive ability, memory, and depression symptomatology in middle-aged and elderly Chinese twins. Twin Research and Human Genetics, 18, 7985. https://doi.org/10.1017/thg.2014.76 CrossRefGoogle ScholarPubMed
Yengo, L., Vedantam, S., Marouli, E., Sidorenko, J., Bartell, E., Sakaue, S., Graff, M., Eliasen, A. U., Jiang, Y., Raghavan, S., Miao, J., Arias, J. D., Graham, S. E., Mukamel, R. E., Spracklen, C. N., Yin, X., Chen, S. H., Ferreira, T., Highland, H. H., Hirschhorn, J. N. (2022). A saturated map of common genetic variants associated with human height. Nature, 610, 704712. https://doi.org/10.1038/s41586-022-05275-y CrossRefGoogle ScholarPubMed
Supplementary material: File

Piffer and Kirkegaard supplementary material

Piffer and Kirkegaard supplementary material
Download Piffer and Kirkegaard supplementary material(File)
File 2.6 MB