4.7 Article

Evidence for specificity of polygenic contributions to attainment in English, maths and science during adolescence

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SCIENTIFIC REPORTS
卷 11, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-021-82877-y

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资金

  1. UK Medical Research Council [217065/Z/19/Z, MR/M021475/1]
  2. Wellcome [217065/Z/19/Z, 08426812/Z/07/Z, 076467/Z/05/Z]
  3. MRC [076467/Z/05/Z]
  4. Birkbeck Wellcome Trust Institutional Strategic Support Fund (ISSF)
  5. 23 and Me
  6. US National Institutes of Health [AG046938]

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School performance predicts important outcomes in cognition, socioeconomic status, and health. Genetics play a role in academic achievement, but the specific genetic associations with adolescent academic performance remain unclear and require further investigation.
How well one does at school is predictive of a wide range of important cognitive, socioeconomic, and health outcomes. The last few years have shown marked advancement in our understanding of the genetic contributions to, and correlations with, academic attainment. However, there exists a gap in our understanding of the specificity of genetic associations with performance in academic subjects during adolescence, a critical developmental period. To address this, the Avon Longitudinal Study of Parents and Children was used to conduct genome-wide association studies of standardised national English (N=5983), maths (N=6017) and science (N=6089) tests. High SNP-based heritabilities (h(SNP)(2)) for all subjects were found (41-53%). Further, h(SNP)(2) for maths and science remained after removing shared variance between subjects or IQ (N=3197-5895). One genome-wide significant single nucleotide polymorphism (rs952964, p=4.86x10(-8)) and four gene-level associations with science attainment (MEF2C, BRINP1, S100A1 and S100A13) were identified. Rs952964 remained significant after removing the variance shared between academic subjects. The findings highlight the benefits of using environmentally homogeneous samples for genetic analyses and indicate that finer-grained phenotyping will help build more specific biological models of variance in learning processes and abilities.

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