The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
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.
Overview
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
Verification
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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]
The cited source says what the claim attributes to it.
In the citing paper
“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.
Citations
Cites
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
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
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
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162 · cited 2×
“Devlin B, Roeder K (1999) Genomic control for association studies.”
MethodA variant associated with nicotine dependence, lung cancer and peripheral arterial disease
Thorgeirsson, T. E., Geller, F., Sulem, P., Rafnar, T., Wiste, A., Magnusson, K. P., Manolescu, A., Thorleifsson, G., Stefansson, H., Ingason, A., et al. (2008) · Nature · doi:10.1038/nature06846 · Cited by 1,523
Self-citationGenome-wide association study identifies 74 loci associated with educational attainment
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. W., et al. (2016) · Nature · doi:10.1038/nature17671 · Cited by 1,297
Self-citationGWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H.-J., Shakhbazov, K., Abdellaoui, A., Agrawal, A., et al. (2013) · Science · doi:10.1126/science.1235488 · Cited by 827
Advances in development reverse fertility declines
Myrskylä, M., Kohler, H.-P., & Billari, F. C. (2009) · Nature · doi:10.1038/nature08230 · Cited by 782
What Is Intelligence?: Beyond the Flynn Effect
Flynn, J. R. (2007) · doi:10.1017/cbo9780511605253 · Cited by 590
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
Self-citation
Research works printed but not linked: 28
- AR Branigan KJ McCallum J Freese Variation in the heritability of educational attainment: An international meta-analysis (Institute for Policy Research Northwestern University Evanston IL). (2013). · DOI · Paper page
- 10.2307/1972729 · DOI
- 10.2307/2061761 · DOI
- 10.1073/pnas.1600398113 · DOI · Paper page
- 10.1073/pnas.1608532113 · DOI
- 10.5962/bhl.title.27468 · DOI · Paper page
- 10.1554/0014-3820(2001)055[0423:NSAQGO]2.0.CO;2 · DOI
- 10.1111/j.1365-2605.2005.00606.x · DOI
- 10.1371/journal.pone.0126821 · DOI · Paper page
- 10.1038/ng.3551 · DOI
- 10.1093/hmg/8.9.1799 · DOI
- 10.1038/sj.ejhg.5200527 · DOI
- 10.1126/science.1150232 · DOI
- 10.1016/j.ajhg.2015.09.001 · DOI · Paper page
- 10.1038/sdata.2015.11 · DOI
- 10.1038/ng1508 · DOI
- 10.1038/ng0612-732c · DOI
- 10.1038/nature14101 · DOI · Paper page
- 10.1038/ng.3552 · DOI · Paper page
- 10.1007/s12110-006-1001-3 · DOI
- B Charlesworth Evolution in Age-Structured Populations (Cambridge Univ Press, Cambridge, UK, 1980).
- LL Cavalli-Sforza, WF Bodmer The Genetics of Human Populations (Dover, Mineola, NY, 1999).
- 10.1073/pnas.1404623111 · DOI · Paper page
- 10.1111/ecoj.12148 · DOI
- 10.1038/sj.ejhg.5200530 · DOI
- D Wechsler Wechsler Abbreviated Scale of Intelligence (WASI) Manual (Psychological Corp, San Antonio, 1999).
- 10.1038/ng.274 · DOI · Paper page
- 10.1038/ng.3561 · DOI
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
Discovery of the first genome-wide significant risk loci for ADHD
(2017) · doi:10.1101/145581 · Cited by 2,203
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
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
“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
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 404
“…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
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
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 290
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
“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
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
“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 179
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 184
“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
“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 160
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 160
Detecting Polygenic Adaptation in Admixture Graphs
Racimo, F., Berg, J. J., & Pickrell, J. K. (2018) · Genetics · doi:10.1534/genetics.117.300489 · Cited by 118
“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 121
Self-citationGenetic influence on social outcomes during and after the Soviet era in Estonia
Rimfeld, K., Krapohl, E. M. L., Trzaskowski, M., Coleman, J. R. I., Selzam, S., Dale, P. S., Esko, T., Metspalu, A., & Plomin, R. J. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0332-5 · Cited by 118
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
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 94
“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 95
Styrkársdóttir, U., Lund, S. H., Saevarsdóttir, S., Magnusson, M. I., Gunnarsdóttir, K., Norddahl, G. L., Frigge, M. L., Ivarsdottir, E. V., Björnsdóttir, G., Hólm, H., et al. (2021) · Arthritis & Rheumatology · doi:10.1002/art.41793 · Cited by 67
“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
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
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 43
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 53
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 46
“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 45
“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 39
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 66
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 32
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
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 48
“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
Genes, culture, and scientific racism
Laland, K. N., & Feldman, M. W. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2322874121 · Cited by 48
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 32
“…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 23
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
“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 39
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
“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 27
“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 27
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 27
“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).”
ResultBenonisdottir, S., Straub, V. J., Kong, A., & Mills, M. C. (2024) · Nature Aging · doi:10.1038/s43587-024-00733-w · Cited by 23
“…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 43
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
“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
Mikaelsdottir, E., Þorleifsson, G., Stefánsdóttir, L., Halldorsson, G. H., Sigurdsson, J. K., Lund, S. H., Tragante, V., Melsted, P., Rögnvaldsson, S., Norland, K., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-02642-9 · Cited by 20
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 25
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 20
“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. E., Lawn, R. B., Magnus, M. C., Treur, J. L., Corfield, E. C., Njølstad, P. R., Andreassen, O. A., Lawlor, D. A., Munafo, M. R., Håberg, S. E., et al. (2023) · BMC Medicine · doi:10.1186/s12916-023-02831-9 · Cited by 18
Fieder, M., & Huber, S. (2021) · Evolution and Human Behavior · doi:10.1016/j.evolhumbehav.2021.08.001 · Cited by 17
Public Policy and Superintelligent AI
Bostrom, N., Dafoe, A., & Flynn, C. (2020) · Oxford University Press eBooks · doi:10.1093/oso/9780190905033.003.0011 · Cited by 26
“…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. L. (2020) · Archaeological Dialogues · doi:10.1017/s1380203820000021 · Cited by 30
“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. L. L., Heeney, M. D., & Menie, M. A. W. O. (2018) · Personality and Individual Differences · doi:10.1016/j.paid.2018.05.036 · Cited by 17
Kolk, M., & Barclay, K. J. (2020) · Intelligence · doi:10.1016/j.intell.2020.101514 · Cited by 20
Gene-culture co-inheritance of a behavioral trait
Aguilar, E., & Akçay, E. (2016) · bioRxiv · doi:10.1086/698872 · Cited by 15
Family Analysis with Mendelian Imputations
Kong, A., Benonisdottir, S., & Young, A. I. (2020) · doi:10.1101/2020.07.02.185181 · Cited by 15
Self-citationZhou, X., Cheung, C., Karasugi, T., Karppinen, J. I., Samartzis, D., Hsu, Y., Mak, T. S. H., Song, Y., Chiba, K., Kawaguchi, Y., et al. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00267 · Cited by 13
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 15
Evaluating indirect genetic effects of siblings using singletons
Howe, L. J., Evans, D. M., Hemani, G., Smith, G. D., & Davies, N. M. (2022) · PLoS Genetics · doi:10.1371/journal.pgen.1010247 · Cited by 25
“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 12
“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
“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
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
Self-citationDunkel, C. S., Menie, M. A. W. O., Pallesen, J., & Kirkegaard, E. O. W. (2019) · Evolutionary Behavioral Sciences · doi:10.1037/ebs0000158 · Cited by 16
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
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 13
“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
Zhang, Y.-K., & Santtila, P. (2022) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-022-03209-2 · Cited by 7
“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 11
“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. (2019) · Journal of Biosocial Science · doi:10.1017/s0021932019000427 · Cited by 8
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
Kolk, M., & Barclay, K. J. (2020) · doi:10.4054/mpidr-wp-2020-010 · Cited by 1
“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 8
“…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
“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
“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
“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
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
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 2
“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 2
“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
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 7
“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 5
“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 · Cited by 3
Metadata
- 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