Cited by 168Genetic Associations and EpidemiologyIntergenerational and Educational Inequality StudiesGenetic and phenotypic traits in livestock

Selection against variants in the genome associated with educational attainment

Open access
Kong, Augustine, Frigge, Michael L., Thorleifsson, Gudmar, Stefansson, Hreinn, Young, Alexander I., Zink, Florian, Jonsdottir, Gudrun A., Okbay, Aysu +7 more·2017·Proceedings of the National Academy of Sciences

Abstract

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.

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Crossref · 10.1073/pnas.1612113114

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  • 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 measured
  • Since 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.

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  • The 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”
  • 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).”

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Cites

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Research works printed but not linked: 27

  1. 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.
  2. 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.
  3. Caldwell JC (1980) Mass education as a determinant of the timing of fertility decline. Popul Dev Rev 6(2):225-255.
  4. Rindfuss RR, Morgan SP, Offutt K (1996) Education and the changing age pattern of American fertility: 1963-1989. Demography 33(3):277-290.
  5. 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.
  6. 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.
  7. Fisher RA (1930) The Genetical Theory of Natural Selection (Oxford Univ Press, New York).
  8. Kohler HP, Rodgers JL, Miller WB, Skytthe A, Christensen K (2006) Bio-social deter- minants of fertility. Int J Androl 29(1):46-53.
  9. Tropf FC, et al. (2015) Human fertility, molecular genetics, and natural selection in modern societies. PLoS One 10(6):e0126821.
  10. Day FR, et al. (2016) Physical and neurobehavioral determinants of reproductive onset and success. Nat Genet 48(6):617-623.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. Price AL, et al. (2006) Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet 38(8):904-909.
  16. Stefansson H, et al. (2005) A common inversion under selection in Europeans. Nat Genet 37(2):129-137.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. Charlesworth B (1980) Evolution in Age-Structured Populations (Cambridge Univ Press, Cambridge, UK).
  22. Flynn J (2007) What Is Intelligence? Beyond the Flynn Effect (Cambridge Univ Press, Cambridge, UK).
  23. 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.
  24. 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.
  25. Thorgeirsson TE, et al. (2008) A variant associated with nicotine dependence, lung cancer and peripheral arterial disease. Nature 452(7187):638-642.
  26. 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.
  27. 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.

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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)
Venue
Proceedings of the National Academy of Sciences
Published
2017-01-17
Volume
114
Issue
5
Pages
E727-E732
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
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
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

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