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Researchers developed a reliable general intelligence (g factor) measure for UK Biobank, enabling genetic studies. Polygenic scores (PGSs) derived from this measure explain significant cognitive variance.

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Area of Science:

  • Psychology
  • Genetics
  • Neuroscience

Background:

  • UK Biobank lacks robust intelligence measures for genetic and neural studies.
  • Examining the genetic and neural basis of intelligence requires high-quality data.

Purpose of the Study:

  • To create and validate a standardized general intelligence (g factor) measure for UK Biobank.
  • To derive polygenic scores (PGSs) for intelligence in UK Biobank participants with neuroimaging data.
  • To investigate the genetic and neural underpinnings of intelligence using these new measures.

Main Methods:

  • Developed a g factor measure from eight cognitive tests in over 500,000 participants.
  • Conducted a Genome-Wide Association Study (GWAS) on the g factor in nearly 190,000 participants.
  • Derived and validated intelligence polygenic scores (PGSs) in over 27,000 participants with neuroimaging data.

Main Results:

  • The g factor explained 29% of the variance in cognitive test performance.
  • The derived intelligence polygenic score (PGS) explained 7.6% of the variance in g.
  • High-quality g factor estimates and PGSs are now available for UK Biobank.

Conclusions:

  • The study provides essential tools for future research on intelligence's genetic and neural basis.
  • The developed measures enhance the utility of UK Biobank for intelligence research.
  • These findings facilitate deeper understanding of intelligence in large-scale genetic studies.