Selection against variants in the genome associated with educational attainment
Open accessAbstract
Significance: Epidemiological studies suggest that educational attainment is affected by genetic variants. Results from recent genetic studies allow us to construct a score from a person’s genotypes that captures a portion of this genetic component. Using data from Iceland that include a substantial fraction of the population we show that individuals with high scores tend to have fewer children, mainly because they have children later in life. Consequently, the average score has been decreasing over time in the population. The rate of decrease is small per generation but marked on an evolutionary timescale. Another important observation is that the association between the score and fertility remains highly significant after adjusting for the educational attainment of the individuals.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The influence of natural selection is likely strongest for age at first birth in women and number of children since these traits are directly related to evolutionary fitness.
“The influence of natural selection is likely strongest for age at first birth in women and number of children since these traits are directly related to evolutionary fitness29.”
From Family-GWAS reveals effects of environment and mating on genetic associations (2024) · cites this paper as [29]
The Results and Significance passages (page unavailable) link age at first child and number of children to an educational-attainment polygenic score in Icelanders; the association with age at first child is stronger in women than in men. The paper also relates earlier childbearing and more children to evolutionary fitness. It does not establish the broader claim that natural selection is strongest for these traits compared with other traits. (LLM, conf=0.82)
Experimental — accuracy not yet measuredSince AM is strong for all of these phenotypes, these results suggest that larger LDSC SNP heritability estimates from population effects are primarily due to AM, with the influence of population stratification diminished to the degree that LDSC successfully adjusts for it.
“Since AM is strong for all of these phenotypes31 (AM is likely for age at first birth in women indirectly due to the correlation of age at first birth with EA29,37), these results suggest that larger LDSC SNP heritability estimates from population effects are primarily due to AM6, with the influence of population stratification diminished to the degree that LDSC successfully adjusts for it.”
From Family-GWAS reveals effects of environment and mating on genetic associations (2024) · cites this paper as [29]
Split into 2 atoms — 1 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredThe Icelandic study extrapolates that their results imply a decline of 0.30 IQ point per decade.
“The authors of the Icelandic study extrapolate that their results imply a decline of 0.30 IQ point per decade”
From Flynn effect and its reversal are both environmentally caused (2018) · cites this paper as [16]
Polygenic scores that predict education are correlated with IQ and have been shown to correlate negatively with fertility in Icelandic and US data.
“Polygenic scores that predict education are correlated with IQ and have been shown to correlate negatively with fertility in Icelandic and US data (16, 17).”
From Flynn effect and its reversal are both environmentally caused (2018) · cites this paper as [16]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559 · see citing works
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821 · see citing works
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162 · see citing works
Advances in development reverse fertility declines
Myrskylä, M., Kohler, H.-P., & Billari, F. C. (2009) · Nature · doi:10.1038/nature08230 · Cited by 782 · see citing works
Loss-of-function mutations in SLC30A8 protect against type 2 diabetes
Go-T2D Consortium, Flannick, J., T2D-GENES Consortium, Thorleifsson, G., Beer, N. L., Jacobs, S. B. R., Grarup, N., Burtt, N. P., Mahajan, A., Fuchsberger, C., et al. (2014) · Nature Genetics · doi:10.1038/ng.2915 · Cited by 492 · see citing works
Self-citationWomen's Education and Fertility: Results from 26 Demographic and Health Surveys
Martin, T. C. (1995) · Studies in Family Planning · doi:10.2307/2137845 · Cited by 480 · see citing works
Davies, G., Marioni, R. E., Liewald, D. C., Hill, W. D., Hagenaars, S. P., Harris, S. E., Ritchie, S. J., Luciano, M., Fawns-Ritchie, C., Lyall, D., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.45 · Cited by 373 · see citing works
The Flynn effect: A meta-analysis.
Trahan, L. H., Stuebing, K. K., Fletcher, J. M., & Hiscock, M. (2014) · Psychological Bulletin · doi:10.1037/a0037173 · Cited by 364 · see citing works
Natural selection and quantitative genetics of life-history traits in Western women: a twin study
Kirk, K. M., Blomberg, S. P., Duffy, D. L., Heath, A. C., Owens, I. P. F., & Martin, N. G. (2001) · Evolution · doi:10.1111/j.0014-3820.2001.tb01304.x · Cited by 245 · see citing works
Flagged first, then by citations
Research works printed but not linked: 27
- Rietveld CA, et al.; LifeLines Cohort Study (2013) GWAS of 126,559 individuals iden- tifies genetic variants associated with educational attainment. Science 340(6139): 1467-1471.
- Okbay A, et al.; LifeLines Cohort Study (2016) Genome-wide association study iden- tifies 74 loci associated with educational attainment. Nature 533(7604):539-542.
- Caldwell JC (1980) Mass education as a determinant of the timing of fertility decline. Popul Dev Rev 6(2):225-255.
- Rindfuss RR, Morgan SP, Offutt K (1996) Education and the changing age pattern of American fertility: 1963-1989. Demography 33(3):277-290.
- Beauchamp JP (2016) Genetic evidence for natural selection in humans in the con- temporary United States. Proc Natl Acad Sci USA 113(28):7774-7779.
- Courtiol A, Tropf FC, Mills MC (2016) When genes and environment disagree: Making sense of trends in recent human evolution. Proc Natl Acad Sci USA 113(28):7693-7695.
- Fisher RA (1930) The Genetical Theory of Natural Selection (Oxford Univ Press, New York).
- Kohler HP, Rodgers JL, Miller WB, Skytthe A, Christensen K (2006) Bio-social deter- minants of fertility. Int J Androl 29(1):46-53.
- Tropf FC, et al. (2015) Human fertility, molecular genetics, and natural selection in modern societies. PLoS One 10(6):e0126821.
- Day FR, et al. (2016) Physical and neurobehavioral determinants of reproductive onset and success. Nat Genet 48(6):617-623.
- Arngrímsson R, et al. (1999) A genome-wide scan reveals a maternal susceptibility locus for pre-eclampsia on chromosome 2p13. Hum Mol Genet 8(9):1799-1805.
- Gudmundsson H, Gudbjartsson DF, Frigge M, Gulcher JR, Stefánsson K (2000) In- heritance of human longevity in Iceland. Eur J Hum Genet 8(10):743-749.
- Helgason A, Pálsson S, Gudbjartsson DF, Kristjánsson T, Stefánsson K (2008) An as- sociation between the kinship and fertility of human couples. Science 319(5864): 813-816.
- Vilhjálmsson BJ, et al.; Schizophrenia Working Group of the Psychiatric Genomics Consortium, Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study (2015) Modeling linkage disequilibrium increases accuracy of polygenic risk scores. Am J Hum Genet 97(4):576-592.
- Price AL, et al. (2006) Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet 38(8):904-909.
- Stefansson H, et al. (2005) A common inversion under selection in Europeans. Nat Genet 37(2):129-137.
- Ikram MA, et al.; Early Growth Genetics Consortium; Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (2012) Common variants at 6q22 and 17q21 are associated with intracranial volume. Nat Genet 44(5):539-544.
- Hibar DP, et al.; Alzheimer's Disease Neuroimaging Initiative; CHARGE Consortium; EPIGEN; IMAGEN; SYS (2015) Common genetic variants influence human subcortical brain structures. Nature 520(7546):224-229.
- Okbay A, et al. (2016) Genetic variants associated with subjective well-being, de- pressive symptoms, and neuroticism identified through genome-wide analyses. Nat Genet 48(6):624-33.
- Weeden J, Abrams MJ, Green MC, Sabini J (2006) Do high-status people really have fewer children?: Education, income, and fertility in the contemporary U.S. Hum Nat 17(4):377-392.
- Charlesworth B (1980) Evolution in Age-Structured Populations (Cambridge Univ Press, Cambridge, UK).
- Flynn J (2007) What Is Intelligence? Beyond the Flynn Effect (Cambridge Univ Press, Cambridge, UK).
- Rietveld CA, et al. (2014) Common genetic variants associated with cognitive per- formance identified using the proxy-phenotype method. Proc Natl Acad Sci USA 111(38):13790-13794.
- Gulcher JR, Kristjánsson K, Gudbjartsson H, Stefánsson K (2000) Protection of privacy by third-party encryption in genetic research in Iceland. Eur J Hum Genet 8(10): 739-742.
- Thorgeirsson TE, et al. (2008) A variant associated with nicotine dependence, lung cancer and peripheral arterial disease. Nature 452(7187):638-642.
- Thorleifsson G, et al. (2009) Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity. Nat Genet 41(1):18-24.
- Helgadottir A, et al. (2016) Variants with large effects on blood lipids and the role of cholesterol and triglycerides in coronary disease. Nat Genet 48(6):634-639.
Cited by
Sorted by citations
ADHD Working Group of the Psychiatric Genomics Consortium (PGC), Demontis, D., Early Lifecourse & Genetic Epidemiology (EAGLE) Consortium, 23andMe Research Team, Walters, R. K., Martin, J., Mattheisen, M., Als, T. D., Agerbo, E., Baldursson, G., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0269-7 · Cited by 2,203 · see citing works
Discovery of the first genome-wide significant risk loci for ADHD
(2017) · doi:10.1101/145581 · Cited by 2,203 · see citing works
The nature of nurture: Effects of parental genotypes
Kong, A., Thorleifsson, G., Frigge, M. L., Vilhjalmsson, B. J., Young, A. I., Thorgeirsson, T. E., Benonisdottir, S., Oddsson, A., Halldorsson, B. V., Masson, G., et al. (2018) · Science · doi:10.1126/science.aan6877 · Cited by 949 · see citing works
Self-citationGenetic architecture: the shape of the genetic contribution to human traits and disease
Timpson, N. J., Greenwood, C. M. T., Soranzo, N., Lawson, D. J., & Richards, J. B. (2018) · Nature Reviews Genetics · doi:10.1038/nrg.2017.101 · Cited by 434 · see citing works
“Evidence has emerged for a ‘coordinated shift in allele frequency’ 113 in, for example, height 112 and educational attainment 114 across different populations.”
BackgroundSignatures of negative selection in the genetic architecture of human complex traits
Zeng, J., de Vlaming, R., Wu, Y., Robinson, M. R., Lloyd-Jones, L. R., Yengo, L., Yap, C. X., Xue, A., Sidorenko, J., McRae, A. F., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0101-4 · Cited by 391 · see citing works
Brain age prediction using deep learning uncovers associated sequence variants
Jónsson, B. A., Björnsdóttir, G., Thorgeirsson, T. E., Ellingsen, L. M., Walters, G. B., Gudbjartsson, D. F., Stefánsson, H., Stefánsson, K., & Ulfarsson, M. O. (2019) · Nature Communications · doi:10.1038/s41467-019-13163-9 · Cited by 387 · see citing works
“…whereas H2 has been associated with a number of phenotypes including neuro-ticism 37 , fi bromyalgia 18 , lower educational attainment, increased fecundity 38 , and smaller intracranial volume (ICV) 39 (Note that PAD is adjusted for ICV, thus the observed effect on PAD is not caused by ICV).”
BackgroundSelf-citationApparent latent structure within the UK Biobank sample has implications for epidemiological analysis
Haworth, S., Mitchell, R., Corbin, L., Wade, K. H., Dudding, T., Budu-Aggrey, A., Carslake, D., Hemani, G., Paternoster, L., Smith, G. D., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-08219-1 · Cited by 314 · see citing works
Genetic correlates of social stratification in Great Britain
Abdellaoui, A., Hugh-Jones, D., Yengo, L., Kemper, K. E., Nivard, M. G., Veul, L., Holtz, Y., Zietsch, B. P., Frayling, T. M., Wray, N. R., et al. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0757-5 · Cited by 261 · see citing works
Thinking About the Evolution of Complex Traits in the Era of Genome-Wide Association Studies
Sella, G., & Barton, N. (2019) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-083115-022316 · Cited by 263 · see citing works
Flynn effect and its reversal are both environmentally caused
Bratsberg, B., & Rogeberg, O. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1718793115 · Cited by 199 · see citing works
“Polygenic scores that predict education are correlated with IQ and have been shown to correlate negatively with fertility in Icelandic and US data (16, 17).”
Using genetics for social science
Harden, K. P., & Koellinger, P. D. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0862-5 · Cited by 180 · see citing works
Genomic analysis of family data reveals additional genetic effects on intelligence and personality
Hill, W. D., Arslan, R. C., Xia, C., Luciano, M., Amador, C., Navarro, P., Hayward, C., Nagy, R., Porteous, D. J., McIntosh, A. M., et al. (2018) · Molecular Psychiatry · doi:10.1038/s41380-017-0005-1 · Cited by 158 · see citing works
“If this coupling were strong [75], future work might infer that selection on intelligence was important in the past, even though current selective pressure appears to go in the opposite direction [76].”
Resource profile and user guide of the Polygenic Index Repository
Becker, J., Burik, C. A. P., Goldman, G., Wang, N., Jayashankar, H., Bennett, M., Belsky, D. W., Linnér, R. K., Ahlskog, R., Kleinman, A., et al. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01119-3 · Cited by 171 · see citing works
Self-citationEvidence of directional and stabilizing selection in contemporary humans
Sanjak, J. S., Sidorenko, J., Robinson, M. R., Thornton, K., & Visscher, P. M. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707227114 · Cited by 179 · see citing works
“Significant negative correlations between polygenic prediction scores for female educational attainment and rLRS have been found in the populations of the contemporary United States (25) and Iceland (27).”
InfluentialPopulation-based neuroimaging reveals traces of childbirth in the maternal brain
de Lange, A. G., Kaufmann, T., van der Meer, D., Maglanoc, L. A., Alnæs, D., Moberget, T., Douaud, G., Andreassen, O. A., & Westlye, L. T. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1910666116 · Cited by 160 · see citing works
“Reproductive behaviors are complex, heritable traits, and their polygenic architecture is likely to overlap with other traits that influence brain-aging trajectories (12, 13).”
BackgroundA genome-wide meta-analysis yields 46 new loci associating with biomarkers of iron homeostasis
Bell, S., Rigas, A. S., Magnússon, M. K., Ferkingstad, E., Allara, E., Björnsdóttir, G., Ramond, A., Sørensen, E., Halldorsson, G. H., Paul, D. S., et al. (2021) · Communications Biology · doi:10.1038/s42003-020-01575-z · Cited by 157 · see citing works
Self-citationThe transition to modernity and chronic disease: mismatch and natural selection
Corbett, S. J., Courtiol, A., Lummaa, V., Moorad, J. A., & Stearns, S. C. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0012-3 · Cited by 153 · see citing works
Detecting Polygenic Adaptation in Admixture Graphs
Racimo, F., Berg, J. J., & Pickrell, J. K. (2018) · Genetics · doi:10.1534/genetics.117.300489 · Cited by 115 · see citing works
“Likewise, the average educational attainment in Iceland and North America has increased dramatically over the past century, despite a slight estimated decrease in the frequencies of genetic variants associated with the phenotype [60, 61, 62].”
BackgroundEvaluation of Large-Scale Proteomics for Prediction of Cardiovascular Events
Helgason, H., Eiriksdottir, T., Ulfarsson, M. O., Choudhary, A., Lund, S. H., Ivarsdottir, E. V., Eldjárn, G. H., Einarsson, G., Ferkingstad, E., Moore, K. H. S., et al. (2023) · JAMA · doi:10.1001/jama.2023.13258 · Cited by 125 · see citing works
Self-citationGenetic influence on social outcomes during and after the Soviet era in Estonia
Rimfeld, K., Krapohl, E., Trzaskowski, M., Coleman, J., Selzam, S., Dale, P. S., Esko, T., Metspalu, A., & Plomin, R. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0332-5 · Cited by 96 · see citing works
Rafnar, T., Gunnarsson, B., Stefansson, O., Sulem, P., Ingason, A., Frigge, M., Stefánsdóttir, L., Sigurdsson, J. K., Tragante, V., Steinthorsdottir, V., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05428-6 · Cited by 91 · see citing works
Self-citationIdentifying genetic variants that affect viability in large cohorts
Mostafavi, H., Berisa, T., Day, F. R., Perry, J. R. B., Przeworski, M., & Pickrell, J. K. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2002458 · Cited by 88 · see citing works
“Instead, to convert effects on viability such as those detected here or effects on fertility reported elsewhere [22,23] into an understanding of how natural selection acts on an allele requires a characterization of its effects on all components of fitness (including potentially inclusive fitness).”
BackgroundThe Macrogenoeconomics of Comparative Development
Ashraf, Q. H., & Galor, O. (2017) · Journal of Economic Literature · doi:10.1257/jel.20161314 · Cited by 93 · see citing works
Styrkársdóttir, U., Lund, S., Saevarsdottir, S., Magnusson, M. I., Gunnarsdottir, K., Norddahl, G., Frigge, M., Ivarsdottir, E. V., Bjornsdottir, G., Hólm, H., et al. (2021) · Arthritis & Rheumatology · doi:10.1002/art.41793 · Cited by 64 · see citing works
“uk) (14) and calculated the risk scores for genotyped Icelanders, using 600,000 common variants and LDpred software, essentially as previously described (20).”
MethodSelf-citationMazur, D. (2005) · Definitions · doi:10.1177/0272989x04273798 · Cited by 55
Examining the association between family status and depression in the UK Biobank
Giannelis, A., Palmos, A., Hagenaars, S., Breen, G., Lewis, C., & Mutz, J. (2020) · medRxiv · doi:10.1101/2020.07.07.20148023 · Cited by 52
Family-GWAS reveals effects of environment and mating on genetic associations
Tan, T., Jayashankar, H., Guan, J., Nehzati, S. M., Mir, M., Bennett, M., Agerbo, E., Ahlskog, R., de Andrade Anapaz, V. P., Benonisdottir, S., et al. (2024) · doi:10.1101/2024.10.01.24314703 · Cited by 47 · see citing works
Self-citationIQ decline and Piaget: Does the rot start at the top?
Flynn, J. R., & Shayer, M. (2018) · Intelligence · doi:10.1016/j.intell.2017.11.010 · Cited by 56 · see citing works
MAP1B mutations cause intellectual disability and extensive white matter deficit
Walters, G. B., Gústafsson, Ó., Sveinbjörnsson, G., Eiriksdottir, V. K., Agustsdottir, A. B., Jónsdóttir, G. A., Steinberg, S., Gunnarsson, A. F., Magnusson, M. I., Unnsteinsdóttir, U., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05595-6 · Cited by 41 · see citing works
Self-citationCho, J. I., Basnyat, B., Jeong, C., Rienzo, A. D., Childs, G. H., Craig, S. R., Sun, J., & Beall, C. M. (2017) · Evolution Medicine and Public Health · doi:10.1093/emph/eox008 · Cited by 49 · see citing works
Mathieson, I., Day, F., Barban, N., Tropf, F. C., Brazel, D., Vaez, A., van Zuydam, N. V., Bitarello, B., Snieder, H., den Hoed, M., et al. (2020) · bioRxiv · doi:10.1101/2020.05.19.104455 · Cited by 36
Evidence for the role of selection for reproductively advantageous alleles in human aging
Long, E., & Zhang, J. (2023) · Science Advances · doi:10.1126/sciadv.adh4990 · Cited by 42 · see citing works
“For instance, a mutation that negatively affects educational attainment might simultaneously increase reproduction ( 38 ) and reduce longevity ( 39 ).”
BackgroundWongupparaj, P., Wongupparaj, R., Kumari, V., & Morris, R. G. (2017) · Intelligence · doi:10.1016/j.intell.2017.07.006 · Cited by 41 · see citing works
“The FE and anti-FE were also found as partly being caused by fertility patterns in many countries (Kong et al., 2017; Menie, Fernandes, José Figueredo, &Meisenberg, 2015; Sundet, Borren, & Tambs, 2008).”
BackgroundÓlafsdóttir, Þ., Þorleifsson, G., Sulem, P., Stefánsson, Ó. A., Medek, H., Olafsson, K., Ingthorsson, O., Gudmundsson, V., Jónsdóttir, I., Halldorsson, G. H., et al. (2020) · Communications Biology · doi:10.1038/s42003-020-0857-9 · Cited by 38 · see citing works
Self-citationHaworth, S., Mitchell, R. E., Corbin, L., Wade, K., Dudding, T., Budu-Aggrey, A., Carslake, D., Hemani, G., Paternoster, L., Smith, G., et al. (2018) · bioRxiv · doi:10.1101/294876 · Cited by 30
Mathieson, I., Day, F. R., Barban, N., Tropf, F. C., Brazel, D. M., van Heemst, D., Vaez, A., van Zuydam, N. R., Bitarello, B. D., Gardner, E. J., et al. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01528-6 · Cited by 64 · see citing works
Self-citationHuman adaptation over the past 40,000 years
Mathieson, I. (2020) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2020.06.003 · Cited by 31 · see citing works
Reproductive fitness and genetic risk of psychiatric disorders in the general population
Mullins, N., Ingason, A., Porter, H. F., Euesden, J., Gillett, A. C., Ólafsson, S., Gudbjartsson, D. F., Lewis, C. M., Sigurðsson, E., Sæmundsen, E., et al. (2017) · Nature Communications · doi:10.1038/ncomms15833 · Cited by 28 · see citing works
Self-citationAncient DNA reveals pervasive directional selection across West Eurasia
Akbari, A., Perry, A., Barton, A. R., Kariminejad, M., Gazal, S., Li, Z., Zeng, Y., Mittnik, A., Patterson, N. J., Mah, M., et al. (2026) · Nature · doi:10.1038/s41586-026-10358-1 · Cited by 37 · see citing works
“Finally, there is evidence of change in these selection pressures over time 57 , for example, in Iceland in the past century in which there was significant selection to decrease the predictor of years of schooling, opposite to the long-term increase that we detected.”
Kolk, M., & Barclay, K. J. (2019) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2019.0359 · Cited by 29 · see citing works
Genes, culture, and scientific racism
Lala, K., & Feldman, M. W. (2024) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.2322874121 · Cited by 24 · see citing works
Evolution of Self-Awareness and the Cultural Emergence of Academic and Non-academic Self-Concepts
Geary, D. C., & Xu, K. M. (2022) · Educational Psychology Review · doi:10.1007/s10648-022-09669-2 · Cited by 28 · see citing works
“…for evolutionary selection against these genes due to an association with delayed marriage and consequently fewer children in the highly educated (Kong et al., 2017), that is, there might be a slow decline in the recently evolved genes that support engagement in educational settings and…”
BackgroundLeveraging GWAS for complex traits to detect signatures of natural selection in humans
Guo, J., Yang, J., & Visscher, P. M. (2018) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2018.05.012 · Cited by 22 · see citing works
What causes the anti-Flynn effect? A data synthesis and analysis of predictors
Woodley of Menie, M. A., Peñaherrera-Aguirre, M., Fernandes, H. B. F., & Figueredo, A.-J. (2018) · Evolutionary Behavioral Sciences · doi:10.1037/ebs0000106 · Cited by 29 · see citing works
“T hi s ar tic le is in te nd ed so le ly fo r th e pe rs on al us e of th e in di vi du al us er an d is no t to be di ss em in at ed br oa dl y. (Kong et al., 2017).”
BackgroundSocio-economic status is a social construct with heritable components and genetic consequences
Abdellaoui, A., Martin, H. C., Kolk, M., Rutherford, A. D., Muthukrishna, M., Tropf, F. C., Mills, M. C., Zietsch, B. P., Verweij, K. J. H., & Visscher, P. M. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02150-4 · Cited by 28 · see citing works
Styrkársdóttir, U., Stefánsdóttir, L., Þorleifsson, G., Stefánsson, Ó. A., Saevarsdóttir, S., Lund, S. H., Rafnar, Þ., Hoshijima, K., Novak, K. A., Oreiro, N., et al. (2023) · Annals of the Rheumatic Diseases · doi:10.1136/ard-2022-223468 · Cited by 28 · see citing works
“20”
Self-citationComparing Brain Asymmetries Independently of Brain Size
Williams, C., Peyre, H., Toro, R., & Ramus, F. (2021) · bioRxiv · doi:10.1101/2021.12.09.471897 · Cited by 23
Quantitative Human Paleogenetics: What can Ancient DNA Tell us About Complex Trait Evolution?
Irving-Pease, E. K., Muktupavela, R., Dannemann, M., & Racimo, F. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.703541 · Cited by 24 · see citing works
“Additionally, several of these variants have signatures of past selective sweeps detectable in present-day genomes (Sabeti et al., 2007; Lao et al., 2007; Pickrell et al., 2009; Rocha, 2020).”
BackgroundSchizophrenia risk and reproductive success: a Mendelian randomization study
Lawn, R., Sallis, H., Taylor, A., Wootton, R., Smith, G., Davies, N., Hemani, G., Fraser, A., Penton-Voak, I., & Munafo, M. (2018) · bioRxiv · doi:10.1101/357673 · Cited by 23
Decreases in Brain Size and Encephalization in Anatomically Modern Humans
Stibel, J. M. (2021) · Brain Behavior and Evolution · doi:10.1159/000519504 · Cited by 24 · see citing works
Menie, M. A. W. O., Younuskunju, S., Balan, B., & Piffer, D. (2017) · Twin Research and Human Genetics · doi:10.1017/thg.2017.37 · Cited by 28 · see citing works
“Consistent with this, it has been found that various POLYCOG negatively predict reproductive success in contemporary Western populations (Beauchamp, 2016; Conley et al., 2016; Kong et al., 2017; Woodley of Menie, Schwartz et al., 2016).”
ResultBenónísdóttir, S., Straub, V. J., Kong, A., & Mills, M. C. (2024) · Nature Aging · doi:10.1038/s43587-024-00733-w · Cited by 20 · see citing works
“…the pursuit of higher education for women has a role, when restricted to an Icelandic subcohort of women with 10 years of education (the legal limit), women with a high education polygenic score still tended to have children later, with an effect that is similar to that of the whole cohort 93 .”
InfluentialSelf-citationA genome-wide meta-analysis identifies 50 genetic loci associated with carpal tunnel syndrome
Skúladóttir, Á., Björnsdóttir, G., Ferkingstad, E., Einarsson, G., Stefánsdóttir, L., Nawaz, M. S., Oddsson, Á., Olafsdottir, T. A., Saevarsdóttir, S., Walters, G. B., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29133-7 · Cited by 41 · see citing works
Self-citationA Simple Test Identifies Selection on Complex Traits
Beissinger, T., Kruppa, J., Cavero, D., Ha, N.-T., Erbe, M., & Simianer, H. (2018) · Genetics · doi:10.1534/genetics.118.300857 · Cited by 32 · see citing works
“Due to improving technologies for sequencing ancient DNA (Berg et al. 2017; Mathieson et al. 2018), and/or by leveraging populations that have benefited from excellent historical record keeping (Kong et al. 2017), genetic data with a temporal component is increasingly available in humans.”
BackgroundWidespread signatures of negative selection in the genetic architecture of human complex traitsPreprint
Zeng, J., de Vlaming, R., Wu, Y., Robinson, M., Lloyd-Jones, L. R., Yengo, L., Yap, C., Xue, A.-L., Sidorenko, J., McRae, A., et al. (2017) · bioRxiv · doi:10.1101/145755 · Cited by 19 · see citing works
Mikaelsdottir, E., Thorleifsson, G., Stefánsdóttir, L., Halldorsson, G., Sigurdsson, J. K., Lund, S., Tragante, V., Melsted, P., Rognvaldsson, S., Norland, K., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-02642-9 · Cited by 18 · see citing works
Self-citationKids These Days! Increasing delay of gratification ability over the past 50 years in children
Protzko, J. (2020) · Intelligence · doi:10.1016/j.intell.2020.101451 · Cited by 21 · see citing works
The ancient origins of the wealth of nations
Ashraf, Q. H., Galor, O., & Klemp, M. (2020) · The Handbook of Historical Economics · doi:10.2139/ssrn.3708522 · Cited by 18
Human Capital Mediates Natural Selection in Contemporary Humans
Hugh-Jones, D., & Abdellaoui, A. (2022) · Behavior Genetics · doi:10.1007/s10519-022-10107-w · Cited by 16 · see citing works
“Recent work confirms that natural selection is taking place in modern human populations, using genome-wide analysis (Barban et al. 2016; Beauchamp 2016; Kong et al. 2017; Sanjak et al. 2018).”
BackgroundWootton, R., Lawn, R., Magnus, M., Treur, J., Corfield, E., Njølstad, P., Andreassen, O., Lawlor, D., Munafo, M., Håberg, S., et al. (2023) · BMC Medicine · doi:10.1186/s12916-023-02831-9 · Cited by 16 · see citing works
Fieder, M., & Huber, S. (2021) · Evolution and human behavior · doi:10.1016/j.evolhumbehav.2021.08.001 · Cited by 16 · see citing works
Public Policy and Superintelligent AI
Bostrom, N., Dafoe, A., & Flynn, C. (2020) · Ethics of Artificial Intelligence · doi:10.1093/oso/9780190905033.003.0011 · Cited by 16 · see citing works
“…voting preferences as the original, creating an incentive for digital beings to create numerous copies of themselves—or of more resource-efficient surrogates 51 For evidence of the heritability of traits in modern society associated with larger family size, see Milot et al. 2001; Kong et al. 2017.”
BackgroundOn the biodeterministic imagination
Blakey, M. (2020) · Archaeological Dialogues · doi:10.1017/s1380203820000021 · Cited by 16 · see citing works
“Reich points us to two recent studies in his first op-ed (Kong et al. 2017; Okbay, Beauchamp and Benjamin 2016, 540) which, ironically, reveal the power of imagination on the cutting edge of the molecular genetics of intelligence.”
BackgroundResultInfluentialReeve, C., Heeney, M. D., & Menie, M. A. W. O. (2018) · Personality and Individual Differences · doi:10.1016/j.paid.2018.05.036 · Cited by 16 · see citing works
Kolk, M., & Barclay, K. J. (2020) · Intelligence · doi:10.1016/j.intell.2020.101514 · Cited by 20 · see citing works
Gene-culture co-inheritance of a behavioral trait
Aguilar, E., & Akçay, E. (2016) · bioRxiv · doi:10.1086/698872 · Cited by 15 · see citing works
Family Analysis with Mendelian Imputations
Kong, A., Benonisdottir, S., & Young, A. I. (2020) · doi:10.1101/2020.07.02.185181 · Cited by 15 · see citing works
Self-citationZhou, X.-Y., Cheung, C., Karasugi, T., Karppinen, J., Samartzis, D., Hsu, Y., Mak, T., Song, Y.-Q., Chiba, K., Kawaguchi, Y., et al. (2018) · bioRxiv · doi:10.3389/fgene.2018.00267 · Cited by 14 · see citing works
A Negative Flynn Effect in Khartoum, the Sudanese capital
Dutton, E., Bakhiet, S. F. A., Ziada, K. E., Essa, Y. A. S., & Blahmar, T. A. M. (2017) · Intelligence · doi:10.1016/j.intell.2017.05.003 · Cited by 14 · see citing works
Evaluating indirect genetic effects of siblings using singletons
Howe, L. J., Evans, D. M., Hemani, G., Smith, G. D., & Davies, N. (2022) · PLoS Genetics · doi:10.1371/journal.pgen.1010247 · Cited by 13 · see citing works
“First, group-level differences between singletons and non-singletons, such as for parental education [21] or health outcomes [22–24], could have led to differences in sources of genetic association [25].”
BackgroundDeep learning based brain age prediction uncovers associated sequence variants
Jónsson, B. A., Bjornsdottir, G., Thorgeirsson, T., Ellingsen, L. M., Walters, G., Gudbjartsson, D., Stefánsson, H., Stefánsson, K., & Ulfarsson, M. O. (2019) · bioRxiv · doi:10.1101/595801 · Cited by 13
“…increased risk of Parkinson’s disease, male pattern baldness, and several other phenotypes, whereas H2 has been associated with a number of phenotypes including neuroticism [54], fibromyalgia [43], lower educational attainment, increased fe-cundity [39], and smaller intracranial volume 9 (ICV) [33].”
BackgroundSelf-citationUnveiling recent and ongoing adaptive selection in human populations
Gao, Z. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002469 · Cited by 24 · see citing works
“Approaches include regression of a measure of reproductive success on PGSs for traits of interest [78,79] or estimation of genetic correlation between traits of interest and proxies for fitness [80,81].”
MethodA Double-Track Pathway to Fast Strategy in Humans and Its Personality Correlates
Gutiérrez, F., Peri, J. M., Baillés, E., Sureda, B., Gárriz, M., Vall, G., Cavero, M., Mallorquí, A., & Rodríguez, J. R. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.889730 · Cited by 15 · see citing works
“Both findings have been reported before (Nettle and Pollet, 2008; Kong et al., 2017), suggesting that greater reproductive success occurs at the cost of status achievement only for women.”
BackgroundThe Fallacy of Equating the Hereditarian Hypothesis with Racism
Carl, N. (2019) · Psych · doi:10.3390/psych1010018 · Cited by 13 · see citing works
Jónsdóttir, G. A., Einarsson, G., Þorleifsson, G., Magnússon, S. H., Gunnarsson, A. F., Frigge, M. L., Gísladóttir, R. S., Unnsteinsdóttir, U., Gunnarsson, B., Walters, G. B., et al. (2021) · Intelligence · doi:10.1016/j.intell.2021.101565 · Cited by 9 · see citing works
Self-citationDunkel, C., Menie, M. A. W. O., Pallesen, J., & Kirkegaard, E. O. W. (2019) · Evolutionary Behavioral Sciences · doi:10.1037/ebs0000158 · Cited by 10 · see citing works
Vertical pleiotropy explains the heritability of social science traits
Alexander, N., Illius, S., Feyerabend, D., Wacker, J., & Liszkowski, U. (2022) · Behavioral and Brain Sciences · doi:10.1017/s0140525x22002382 · Cited by 9 · see citing works
GWAS on Birth Year Infant Mortality Rates Provides New Evidence of Recent Natural Selection
Wu, Y.-C., Furuya, S., Wang, Z., Nobles, J., Fletcher, J. M., & Lu, Q.-S. (2021) · medRxiv · doi:10.1101/2021.06.08.21258559 · Cited by 9
Review of At Our Wits’ End: Why We’re Becoming Less Intelligent and What It Means for the Future.
Delhez, J. (2020) · doi:10.1037/ebs0000159 · Cited by 9
Morphometric traits predict educational attainment independently of socioeconomic background
Valge, M., Meitern, R., & Hõrak, P. (2019) · BMC Public Health · doi:10.1186/s12889-019-8072-7 · Cited by 10 · see citing works
“That evolutionary changes can be rapid is confirmed by a study in Iceland, showing that selection against genetic variants associated with educational attainment can lead to change in the genetic composition of population in few generations [90].”
ResultEnrichment of genetic markers of recent human evolution in educational and cognitive traits
Srinivasan, S., Bettella, F., Frei, O., Hill, W. D., Wang, Y., Witoelar, A., Schork, A. J., Thompson, W. K., Davies, G., Desikan, R. S., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-30387-9 · Cited by 10 · see citing works
Zhang, Y.-K., & Santtila, P. (2022) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-022-03209-2 · Cited by 7 · see citing works
“Specifically, recent research examining how the education-reproduction link could influence human population genetics found that because of the negative relationship between education and reproduction, selection has favored genetic variants associated with low educational attainments (Beauchamp 2016; Kong et al. 2017).”
BackgroundNatural selection contributes to the myopia epidemic
Long, E., & Zhang, J.-Z. (2020) · National Science Review · doi:10.1093/nsr/nwaa175 · Cited by 7
“These observations are consistent with the previous finding that myopia is highly positively correlated with educational attainment [21], which is in turn associated with delayed reproduction and fewer offspring [22].”
Natural selection on anthropometric traits of Estonian girls
Valge, M., Hõrak, P., & Henshaw, J. M. (2020) · Evolution and human behavior · doi:10.1016/j.evolhumbehav.2020.07.013 · Cited by 7 · see citing works
“On the other hand, evolutionary changes can sometimes be rapid, as confirmed by an Icelandic study, showing that selection against genetic variants associated with educational attainment can lead to measurable change in the genetic composition of a population in as little as a few generations (Kong et al., 2017).”
BackgroundČvorović, J. (2020) · Journal of Biosocial Science · doi:10.1017/s0021932019000427 · Cited by 6 · see citing works
The genetics of human fertility.
Kim, Y., & Lee, J. J. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.07.011 · Cited by 6 · see citing works
Kolk, M., & Barclay, K. J. (2020) · doi:10.4054/mpidr-wp-2020-010 · Cited by 1 · see citing works
“In Iceland, polygenic scores predict a negative association between educational attainment and fertility (Kong et al. 2017).”
BackgroundWang, Y., Zhao, B., Choi, J., & Lee, E. A. (2021) · Mobile DNA · doi:10.1186/s13100-021-00250-2 · Cited by 6 · see citing works
“…to alter pre-existing conceptions and resolve controversies [51, 106]. aDNA may contain information explaining non-skeletal human phenotypes and behaviors not preserved in archaeological records [132], and allowing selection events to be inferred from more than thousands of years ago [130, 133].”
BackgroundMenie, M. A. W. O., Rindermann, H., Pallesen, J., & Sarraf, M. (2019) · Twin Research and Human Genetics · doi:10.1017/thg.2019.25 · Cited by 5 · see citing works
“Studies utilizing PGSs have found negative genetic correlations between cognitive ability measures and fertility (Kong et al., 2017), indicating that at least some genetic variants that tend to raise cognitive ability also tend to depress fertility.”
BackgroundMethodResultInfluentialSear, R., & Townsend, C. (2023) · Biology Letters · doi:10.1098/rsbl.2023.0390 · Cited by 4 · see citing works
“Bratsberg & Rogeberg do cite research claiming to find an association between polygenic scores for cognitive ability and fertility [11,12], but polygenic scores do not necessarily capture a causal relationship between genes and a complex trait such as cognitive ability, due to confounding factors…”
BackgroundShould Cognitive Differences Research Be Forbidden?
Meisenberg, G. (2019) · Psych · doi:10.3390/psych1010021 · Cited by 8 · see citing works
“A genetic trend for declining intelligence in modern societies had been predicted throughout the last century based on negative correlations of fertility with intelligence and education [68], and has recently been confirmed genetically [69,70].”
BackgroundAlexandre, A., Maria, K. D., Philipp, K., Mauro, P., Maddalena, Q., Barbara, R., & Guy, V. D. E. (2019) · doi:10.2760/948992 · Cited by 4
Sarraf, M. A., Woodley of Menie, M. A., & Peñaherrera-Aguirre, M. (2023) · Personality and Individual Differences · doi:10.1016/j.paid.2022.111969 · Cited by 3 · see citing works
Intelligence in Multiple Dimensions: Evolutionary Framework for the Study of Human Cognition
Geary, D. C. (2026) · Intelligence & Cognitive Abilities · doi:10.65550/001c.154815 · Cited by 3 · see citing works
Changes in polygenic burden for psychiatric disorders across two decades of birth cohorts
Lousdal, M. L., LaBianca, S., Agerbo, E., Albiñana, C., Vilhjálmsson, B. J., McGrath, J. J., Schork, A. J., & Plana‐Ripoll, O. (2025) · Nature Mental Health · doi:10.1038/s44220-025-00478-4 · Cited by 3 · see citing works
“Likewise, Kong and colleagues 27 found that education PGS decreased in birth cohorts born between 1910 and 1990 in Iceland.”
Natural Selection Across Three Generations of Americans
Hugh-Jones, D., & Edwards, T. (2024) · Behavior Genetics · doi:10.1007/s10519-024-10189-8 · Cited by 3
“For example, Kong et al. (2017) provide an estimate of − 0.9 IQ points every 30 years in Iceland, compared to our − 0.6 points per generation.”
InfluentialAndersson, L., Jalovaara, M., Saarela, J., & Uggla, C. (2023) · Proceedings of the Royal Society B · doi:10.1098/rspb.2023.1061 · Cited by 3 · see citing works
Sexually antagonistic selection on educational attainment and body size in Estonian children
Valge, M., Meitern, R., & Hõrak, P. (2022) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14859 · Cited by 3 · see citing works
“The main findings of this study were that (1) direction of selection on educational attainmentwas sexually antagonistic; (2) selection on educational attainment occurred via different parity transitions in boys and girls; (3) selection on anthropometric traits occurred almost exclu-”
BackgroundPereira, R. D. (2021) · SSRN Electronic Journal · doi:10.1101/2021.12.14.472565 · Cited by 6 · see citing works
“Without properly accounting for parental PGS, the child’s PGS will partially capture parental characteristics that shape the rearing environment (Koellinger and Harden, 2018; Kong et al., 2017).”
BackgroundThe dysgenics objection to longtermism
de Vries, B. (2024) · Futures · doi:10.1016/j.futures.2024.103417
- Authors
- Kong, A., Frigge, M. L., Thorleifsson, G., Stefansson, H., Young, A. I., Zink, F., Jonsdottir, G. A., Okbay, A., Sulem, P., Masson, G., Gudbjartsson, D. F., Helgason, A., Bjornsdottir, G., Thorsteinsdottir, U., & Stefansson, K.
- Affiliations
- deCODE Genetics (Iceland) (IS)
- deCODE genetics/Amgen Inc., Reykjavik 101, Iceland;
- Centre for Human Genetics (GB)
- Erasmus University Rotterdam (NL)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2017-01-17
- Volume
- 114
- Issue
- 5
- Pages
- E727-E732
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC5293043
- OpenAlex
- W2575032714
- Cited by
- 168
- References
- 0
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 10 · 2023: 32 · 2022: 20 · 2021: 19 · 2020: 21 · 2019: 19 · 2018: 24 · 2017: 16
- FWCI
- 14.48
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- RePub (Erasmus University Rotterdam) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- educational attainment, genetic variants, polygenic risk score, fertility, fertility decline, age at childbearing, natural selection, genetic drift
- MeSH terms
- Adolescent, Adult, Educational Status, Female, Fertility, Genotype, Humans, Iceland, Intelligence, Male, Genetic Variation, Genome, Human, Young Adult
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 ›
Are you an author, or do you see a problem with this page? Request a review