Cited by 78Language and cultural evolutionPhilosophy and History of ScienceGenetic Associations and Epidemiology

Missing compared to what? Revisiting heritability, genes and culture

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Feldman, Marcus W., Ramachandran, Sohini·2018·Philosophical Transactions of the Royal Society B: Biological Sciences

Abstract

Standard models for the determination of phenotypes from genes are grounded in simple assumptions that are inherent in the modern evolutionary synthesis (MES), which was developed in the 1930s, 1940s and 1950s. The MES was framed in the context of Mendelian genetic transmission enhanced by the Fisherian view of the way discretely inherited genes determine continuously quantitative phenotypes. The statistical models that are used to estimate and interpret genetic contributions to human phenotypes—including behavioural traits—are constructed within the framework of the MES. Variance analysis constitutes the main tool and is used under this framework to characterize genetic inheritance, and hence determination of phenotypes. In this essay, we show that cultural inheritance, when incorporated into models for the determination of phenotypes, can sharply reduce estimates of the genetic contribution to these phenotypes. Recognition of the importance of non-genetic transmission of many human traits is becoming ever more necessary to prevent regression to the debates of the 1970s and 1980s concerning policies based on genetic determination of complex human phenotypes. This article is part of the theme issue ‘Bridging cultural gaps: interdisciplinary studies in human cultural evolution’.

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  • Many of the pre-genomic-era limitations on the use of heritability to make inferences about the genetic basis of phenotypic differences among populations continue to apply, in updated form, to polygenic scores.

    “Although estimates of the contributions of specific genetic variants advance modern analyses beyond classical heritability statistics, many of the pre-genomic-era limitations on the use of heritability to make inferences about the genetic basis of phenotypic differences among populations [26–28] continue to apply, in updated form (Fig. 1).”

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  1. [1]Manolio TA et al. 2009 Finding the missing heritability of complex diseases. Nature 461, 747– 753. (10.1038/nature08494) 19812666 PMC2831613 · DOI · Paper page
  2. [2]Yang J et al. 2010 Common SNPs explain a large proportion of the heritability for human height. Nat. Genet. 42, 565– 569. (10.1038/ng.608) 20562875 PMC3232052 · DOI · Paper page
  3. [3]Golan D, Lander ES, Rosset S 2014 Measuring missing heritability: inferring the contribution of common variants. Proc. Natl Acad. Sci. USA 111, E5272– E5281. (10.1073/pnas.1419064111) 25422463 PMC4267399 · DOI · Paper page
  4. [4]Okbay A et al. 2016 Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533, 539– 542. (10.1038/nature17671) 27225129 PMC4883595 · DOI · Paper page
  5. [5]Hayden EC 2016 Gene variants linked to education prove divisive. Nature 533, 154– 155. (10.1038/533154a) 27172023 · DOI
  6. [6]Krapohl E, Plomin R 2015 Genetic link between family socioeconomic status and children's educational achievement estimated from genome-wide SNPs. Mol. Psychiatry 21, 437– 443. (10.1038/mp.2015.2) 25754083 PMC4486001 · DOI · Paper page
  7. [7]Benjamin DJ et al. 2012 The genetic architecture of economic and political preferences. Proc. Natl Acad. Sci. USA 109, 8026– 8031. (10.1073/pnas.1120666109) 22566634 PMC3361436 · DOI
  8. [8]Davies G et al. 2011 Genome-wide association studies establish that human intelligence is highly heritable and polygenic. Mol. Psychiatry 16, 996– 1005. (10.1038/mp.2011.85) 21826061 PMC3182557 · DOI · Paper page
  9. [12]Bodmer WF, Cavalli-Sforza LL 1970 Intelligence and race. Sci. Am. 223, 19– 29. (10.1038/scientificamerican1070-19) 5459727 · DOI
  10. [13]Kevles DJ 1995 In the name of eugenics. Cambridge, MA: Harvard University Press.
  11. [14]Burt C 1966 The genetic determination of difference in intelligence: a study of monozygotic twins reared together and apart. Br. J. Psychol. 57, 137– 153. (10.1111/j.2044-8295.1966.tb01014.x) 5949392 · DOI
  12. [17]Cavalli-Sforza LL, Feldman MW 1973 Cultural versus biological inheritance: phenotypic transmission from parents to children (A theory of the effect of parental phenotypes on children's phenotypes). Am. J. Hum. Genet. 25, 618– 637. 4797967 PMC1762580
  13. [19]Burks BS 1928 The relative influence of nature and nurture upon mental development: a comparative study of foster parent–foster child resemblance and true parent–true child resemblance In 27th Yearbook of the National Society for the Study of Education, Part 1 pp. 219– 316. Bloomington, IN: Public School Publishing Co.
  14. [20]Rao DC, Morton NE, Yee S 1974 Analysis of family resemblance. II. A linear model for familial correlation. Am. J. Hum. Genet. 26, 331– 359. 4857114 PMC1762612
  15. [21]Rao DC, Morton NE, Yee S 1976 Resolution of cultural and biological inheritance by path analysis. Am. J. Hum. Genet. 28, 228– 242. 944529 PMC1685018
  16. [23]Cavalli-Sforza LL, Feldman MW 1978 The evolution of continuous variation. III. Joint transmission of genotype, phenotype and environment. Genetics 90, 391– 425. 17248869 PMC1213897
  17. [24]Cloninger CR, Rice J, Reich T 1979 Multifactorial inheritance with cultural transmission and assortative mating. II. A general model of combined polygenic and cultural inheritance. Am. J. Hum. Genet. 31, 176– 198. 453202 PMC1685756
  18. [25]Cloninger CR, Reich J, Reich T 1979 Multifactorial inheritance with cultural transmission and assortative mating. III. Family structure and the analysis of separation experiments. Am. J. Hum. Genet. 31, 366– 388. 572636 PMC1685778
  19. [26]Rice J, Cloninger CR, Reich T 1978 Multifactorial inheritance with cultural transmission and assortative mating. I. Description and basic properties of the unitary models. Am. J. Hum. Genet. 30, 618– 643. 747189 PMC1685878
  20. [27]Rao DC, Morton NE, Lalouel JM, Lew R 1982 Path analysis under generalized assortative mating. II. American IQ. Genet. Res. Camb. 39, 187– 198. (10.1017/S0016672300020875) 7084667 · DOI
  21. [29]Bouchard T Jr, McGue M 1981 Familial studies of intelligence: a review. Science 212, 1055– 1059. (10.1126/science.7195071) 7195071 · DOI · Paper page
  22. [30]Herrnstein RJ, Murray C 1994 The bell curve: intelligence and class structure in American life. New York, NY: Free Press.
  23. [32]Plomin R, DeFries JC, Knopik VS, Neiderhiser JM 2016 Top 10 replicated findings from behavioral genetics. Perspect. Psychol. Sci. 11, 3– 23. (10.1177/1745691615617439) 26817721 PMC4739500 · DOI · Paper page
  24. [33]Turkheimer E 2016 Weak genetic explanation 20 years later: reply to Plomin et al. (2016). Perspect. Psychol. Sci. 11, 24– 28. (10.1177/1745691615617442) 26817722 · DOI
  25. [34]Turkheimer E 1998 Heritability and biological explanation. Psychol. Rev. 105, 782– 791. (10.1037/0033-295X.105.4.782-791) 9830379 · DOI
  26. [36]Dobzhansky T, Spassky B 1944 Genetics of natural populations. XI. Manifestation of genetic variants in Drosophila pseudoobscura in different environments. Genetics 29, 270– 290. 17247121 PMC1209247
  27. [37]Kouchi M 1996 Secular change and socioeconomic differences in height in Japan. Anthropol. Sci. 104, 325– 340. (10.1537/ase.104.325) · DOI
  28. [39]Rowe DC, Jacobson KC, Van den Oord EJCG 1999 Genetic and environmental influences on vocabulary IQ. Child Dev. 70, 1151– 1162. (10.1111/1467-8624.00084) 10546338 · DOI · Paper page
  29. [40]Turkheimer E, Haley A, Waldron M, D'Onofrio B, Gottesman II 2003 Socioeconomic status modifies heritability of IQ in young children. Psychol. Sci. 14, 623– 628. (10.1046/j.0956-7976.2003.psci_1475.x) 14629696 · DOI · Paper page
  30. [41]Harden KP, Turkheimer E, Loehlin JC 2007 Genotype by environment interaction in adolescents' cognitive aptitude. Behav. Genet. 37, 273– 283. (10.1007/s10519-006-9113-4) 16977503 PMC2903846 · DOI
  31. [42]Tucker-Drob EM, Rhemtulla M, Harden KP, Turkheimer E, Fask D 2011 Emergence of a gene × socioeconomic status interaction on infant mental ability between 10 months and 2 years. Psychol. Sci. 22, 125– 133. (10.1177/0956797610392926) 21169524 PMC3532898 · DOI
  32. [43]Hanscombe KB, Trzaskowski M, Haworth CMA, Davis OSP, Dale PS, Plomin R 2012 Socioeconomic status (SES) and children's intelligence (IQ): in a UK-representative sample SES moderates the environmental, not genetic, effect on IQ. PLoS ONE 7, e30320 (10.1371/journal.pone.0030320) 22312423 PMC3270016 · DOI
  33. [44]Lewontin RC 1974 The analysis of variance and the analysis of causes. Am. J. Hum. Genet. 26, 400– 411. 4827368 PMC1762622
  34. [46]Dickens WT, Flynn JR 2001 Heritability estimates versus large environmental effects: the IQ paradox resolved. Psychol. Rev. 108, 346– 369. (10.1037/0033-295X.108.2.346) 11381833 · DOI · Paper page
  35. [47]Turkheimer E 2000 Three laws of behavior genetics and what they mean. Curr. Dir. Psychol. Sci. 9, 160– 164. (10.1111/1467-8721.00084) · DOI
  36. [50]Lewontin RC 1970 Race and intelligence. Bull. At. Sci. 26, 2– 8. (10.1080/00963402.1970.11457774) · DOI · Paper page
  37. [51]Feldman MF, Lewontin RC 1975 The heritability hang-up. Science 190, 1163– 1168. (10.1126/science.1198102) 1198102 · DOI · Paper page
  38. [52]Sniekers S et al 2017 Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence. Nat. Genet. 49, 1107– 1112. (10.1038/ng.3869) 28530673 PMC5665562 · DOI · Paper page
  39. [53]Vilhjálmsson BJ et al. 2015 Modeling linkage disequilibrium increases accuracy of polygenic risk scores. Am. J. Hum. Genet. 97, 576– 592. (10.1016/j.ajhg.2015.09.001) 26430803 PMC4596916 · DOI · Paper page
  40. [55]Chabris CF, Lee JJ, Cesarini D, Benjamin DJ, Laibson DI 2015 The fourth law of behavior genetics. Curr. Dir. Psychol. Sci. 24, 304– 312. (10.1177/0963721415580430) 26556960 PMC4635473 · DOI
  41. [56]Eaves JF, Eysenck HJ, Martin NG 1989 Genes, culture and personality: an empirical approach. San Diego, CA: Academic Press.
  42. [57]Loehlin JC, Martin NG 2013 General and supplementary factors of personality in genetic and environmental correlation matrices. Pers. Indivd. Differ. 54, 761– 766. (10.1016/j.paid.2012.12.014) · DOI
  43. [58]Martin NG, Eaves LJ, Heath AC, Jardine R, Feingold LM, Eysenck HJ 1986 Transmission of social attitudes. Proc. Natl Acad. Sci. USA 83, 4364– 4368. (10.1073/pnas.83.12.4364) 3459179 PMC323733 · DOI
  44. [60]Morton NE 1974 Analysis of family resemblance I. Introduction. Am. J. Hum. Genet. 26, 318– 330. 4827365 PMC1762618
  45. [62]Johnson W, McGue M, Krueger RF, Bouchard TJ Jr. 2004 Marriage and personality: a genetic analysis. J. Pers. Soc. Psychol 86, 285– 294. 14769084
  46. [63]Feldman MW, Christiansen FB, Otto SP 2013 Gene-culture co-evolution: teaching, learning, and correlations between relatives. Israel J. Ecol. Evol. 59, 72– 91. (10.1080/15659801.2013.853435) · DOI
  47. [65]Boyle EA, Yang IL, Pritchard JD 2017 An expanded view of complex traits: from polygenic to omnigenic. Cell 169, 1177– 1186. (10.1016/j.cell.2017.05.038) 28622505 PMC5536862 · DOI · Paper page
  48. [66]Yang J, Lee SH, Goddard ME, Visscher PM 2011 GCTA: a tool for genome-wide complex trait analysis. Am. J. Hum. Genet. 58, 76– 82. (10.1016/j.ajhg.2010.11.011) PMC3014363 21167468 · DOI · Paper page
  49. [67]Bares CB, Kendler KS, Maes HHM 2016 Racial differences in heritability of cigarette smoking in adolescents and young adults. Drug Alcohol. Depend. 166, 75– 84. (10.1016/j.drugalcdep.2016.06.028) 27427414 PMC4983522 · DOI
  50. [69]McClellan JM, Lehner T, Kin M-C 2017 Gene discovery for complex traits: lessons from Africa. Cell 171, 261– 264. (10.1016/j.cell.2017.09.037) 28985555 · DOI

Cited by

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Authors
Feldman, M. W., & Ramachandran, S.
Affiliations
  • Stanford University (US)
  • Brown University (US)
Corresponding author
Feldman, Marcus W.
Venue
Philosophical Transactions of the Royal Society B: Biological Sciences
Published
2018-02-12
Volume
373
Issue
1743
Pages
20170064
ISSN
  • 0962-8436 (ISSN-L)
  • 1471-2970
OpenAlex
W2789763834
Cited by
78
References
7
Citations by year
2026: 1 · 2025: 4 · 2024: 19 · 2023: 5 · 2022: 8 · 2021: 2 · 2020: 27 · 2019: 7 · 2018: 5
FWCI
77.99
Type
journal article
Language
en
Open access
Locations
  • Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
John Templeton Foundation (13337)
Topics
  • Social Sciences › Cultural Studies › Language and cultural evolution
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Keywords
heritability, cultural transmission, modern evolutionary synthesis, genetic transmission, behavioral characteristics, human phenotypes, analysis of variance, cultural evolution, genetic determinism
MeSH terms
Cultural Evolution, Humans, Models, Genetic, Phenotype, Models, Statistical, Heredity

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