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Shared genetic architectures of educational attainment in East Asian and European populations

Author

Listed:
  • Tzu-Ting Chen

    (National Health Research Institutes)

  • Jaeyoung Kim

    (Samsung Medical Center
    Seoul National University Bundang Hospital)

  • Max Lam

    (Massachusetts General Hospital
    Harvard Medical School
    Genome Institute of Singapore
    Northwell Health)

  • Yi-Fang Chuang

    (National Yang Ming Chiao Tung University)

  • Yen-Ling Chiu

    (Yuan Ze University
    Far Eastern Memorial Hospital)

  • Shu-Chin Lin

    (National Health Research Institutes)

  • Sang-Hyuk Jung

    (University of Pennsylvania)

  • Beomsu Kim

    (Samsung Medical Center)

  • Soyeon Kim

    (Massachusetts General Hospital
    the Broad Institute of MIT and Harvard)

  • Chamlee Cho

    (Samsung Medical Center)

  • Injeong Shim

    (Samsung Medical Center)

  • Sanghyeon Park

    (Samsung Medical Center)

  • Yeeun Ahn

    (Samsung Medical Center)

  • Aysu Okbay

    (Vrije Universiteit Amsterdam)

  • Hyemin Jang

    (Sungkyunkwan University School of Medicine
    Samsung Medical Center)

  • Hee Jin Kim

    (Sungkyunkwan University School of Medicine
    Samsung Medical Center)

  • Sang Won Seo

    (Sungkyunkwan University School of Medicine
    Samsung Medical Center)

  • Woong-Yang Park

    (Sungkyunkwan University School of Medicine)

  • Tian Ge

    (the Broad Institute of MIT and Harvard
    Massachusetts General Hospital
    Harvard Medical School)

  • Hailiang Huang

    (Massachusetts General Hospital
    Harvard Medical School
    the Broad Institute of MIT and Harvard)

  • Yen-Chen Anne Feng

    (National Taiwan University
    National Taiwan University)

  • Yen-Feng Lin

    (National Health Research Institutes
    National Yang Ming Chiao Tung University
    National Cheng Kung University)

  • Woojae Myung

    (Seoul National University Bundang Hospital
    Seoul National University College of Medicine)

  • Chia-Yen Chen

    (Biogen)

  • Hong-Hee Won

    (Samsung Medical Center
    Sungkyunkwan University School of Medicine)

Abstract

Educational attainment (EduYears), a heritable trait often used as a proxy for cognitive ability, is associated with various health and social outcomes. Previous genome-wide association studies (GWASs) on EduYears have been focused on samples of European (EUR) genetic ancestries. Here we present the first large-scale GWAS of EduYears in people of East Asian (EAS) ancestry (n = 176,400) and conduct a cross-ancestry meta-analysis with EduYears GWAS in people of EUR ancestry (n = 766,345). EduYears showed a high genetic correlation and power-adjusted transferability ratio between EAS and EUR. We also found similar functional enrichment, gene expression enrichment and cross-trait genetic correlations between two populations. Cross-ancestry fine-mapping identified refined credible sets with a higher posterior inclusion probability than single population fine-mapping. Polygenic prediction analysis in four independent EAS and EUR cohorts demonstrated transferability between populations. Our study supports the need for further research on diverse ancestries to increase our understanding of the genetic basis of educational attainment.

Suggested Citation

  • Tzu-Ting Chen & Jaeyoung Kim & Max Lam & Yi-Fang Chuang & Yen-Ling Chiu & Shu-Chin Lin & Sang-Hyuk Jung & Beomsu Kim & Soyeon Kim & Chamlee Cho & Injeong Shim & Sanghyeon Park & Yeeun Ahn & Aysu Okbay, 2024. "Shared genetic architectures of educational attainment in East Asian and European populations," Nature Human Behaviour, Nature, vol. 8(3), pages 562-575, March.
  • Handle: RePEc:nat:nathum:v:8:y:2024:i:3:d:10.1038_s41562-023-01781-9
    DOI: 10.1038/s41562-023-01781-9
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    References listed on IDEAS

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    1. Tian Ge & Chia-Yen Chen & Yang Ni & Yen-Chen Anne Feng & Jordan W. Smoller, 2019. "Polygenic prediction via Bayesian regression and continuous shrinkage priors," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    2. Qin Qin Huang & Neneh Sallah & Diana Dunca & Bhavi Trivedi & Karen A. Hunt & Sam Hodgson & Samuel A. Lambert & Elena Arciero & John Wright & Chris Griffiths & Richard C. Trembath & Harry Hemingway & M, 2022. "Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Huwenbo Shi & Steven Gazal & Masahiro Kanai & Evan M. Koch & Armin P. Schoech & Katherine M. Siewert & Samuel S. Kim & Yang Luo & Tiffany Amariuta & Hailiang Huang & Yukinori Okada & Soumya Raychaudhu, 2021. "Population-specific causal disease effect sizes in functionally important regions impacted by selection," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    4. Soyeon Kim & Kiwon Kim & Mi Yeong Hwang & Hyunwoong Ko & Sang-Hyuk Jung & Injeong Shim & Soojin Cha & Hyewon Lee & Beomsu Kim & Joohyun Yoon & Tae Hyon Ha & Doh Kwan Kim & Jinho Kim & Woong-Yang Park , 2022. "Shared genetic architectures of subjective well-being in East Asian and European ancestry populations," Nature Human Behaviour, Nature, vol. 6(7), pages 1014-1026, July.
    5. Hastie, Nicholas D. & van der Loos, Matthijs J. H. M. & Vitart, Veronique & Völzke, Henry & Wellmann, Jürgen & Yu, Lei & Zhao, Wei & Allik, Jüri & Attia, John R. & Bandinelli, Stefania & Bastardot,, 2013. "GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment," Scholarly Articles 13383543, Harvard University Department of Economics.
    6. Laibson, David I. & Rietveld, Cornelius A. & Conley, Dalton & Eriksson, Nicholas & Esko, Tonu & Medland, Sarah E. & Vinkhuyzen, Anna A. E. & Yang, Jian & Boardman, Jason D. & Chabris, Christopher F. &, 2014. "Replicability and Robustness of Genome-Wide-Association Studies for Behavioral Traits," Scholarly Articles 33371478, Harvard University Department of Economics.
    7. Christiaan A de Leeuw & Joris M Mooij & Tom Heskes & Danielle Posthuma, 2015. "MAGMA: Generalized Gene-Set Analysis of GWAS Data," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-19, April.
    8. Cassandra N. Spracklen & Momoko Horikoshi & Young Jin Kim & Kuang Lin & Fiona Bragg & Sanghoon Moon & Ken Suzuki & Claudia H. T. Tam & Yasuharu Tabara & Soo-Heon Kwak & Fumihiko Takeuchi & Jirong Long, 2020. "Identification of type 2 diabetes loci in 433,540 East Asian individuals," Nature, Nature, vol. 582(7811), pages 240-245, June.
    9. Kyoko Watanabe & Erdogan Taskesen & Arjen Bochoven & Danielle Posthuma, 2017. "Functional mapping and annotation of genetic associations with FUMA," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
    10. Aysu Okbay & Jonathan P. Beauchamp & Mark Alan Fontana & James J. Lee & Tune H. Pers & Cornelius A. Rietveld & Patrick Turley & Guo-Bo Chen & Valur Emilsson & S. Fleur W. Meddens & Sven Oskarsson & Jo, 2016. "Genome-wide association study identifies 74 loci associated with educational attainment," Nature, Nature, vol. 533(7604), pages 539-542, May.
    11. Gao Wang & Abhishek Sarkar & Peter Carbonetto & Matthew Stephens, 2020. "A simple new approach to variable selection in regression, with application to genetic fine mapping," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(5), pages 1273-1300, December.
    12. Sarah E. Graham & Shoa L. Clarke & Kuan-Han H. Wu & Stavroula Kanoni & Greg J. M. Zajac & Shweta Ramdas & Ida Surakka & Ioanna Ntalla & Sailaja Vedantam & Thomas W. Winkler & Adam E. Locke & Eirini Ma, 2021. "The power of genetic diversity in genome-wide association studies of lipids," Nature, Nature, vol. 600(7890), pages 675-679, December.
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