Structural architecture and brain network efficiency link polygenic scores to intelligence

Hum Brain Mapp. 2023 Jun 1;44(8):3359-3376. doi: 10.1002/hbm.26286. Epub 2023 Apr 4.

Abstract

Intelligence is highly heritable. Genome-wide association studies (GWAS) have shown that thousands of alleles contribute to variation in intelligence with small effect sizes. Polygenic scores (PGS), which combine these effects into one genetic summary measure, are increasingly used to investigate polygenic effects in independent samples. Whereas PGS explain a considerable amount of variance in intelligence, it is largely unknown how brain structure and function mediate this relationship. Here, we show that individuals with higher PGS for educational attainment and intelligence had higher scores on cognitive tests, larger surface area, and more efficient fiber connectivity derived by graph theory. Fiber network efficiency as well as the surface of brain areas partly located in parieto-frontal regions were found to mediate the relationship between PGS and cognitive performance. These findings are a crucial step forward in decoding the neurogenetic underpinnings of intelligence, as they identify specific regional networks that link polygenic predisposition to intelligence.

Keywords: DWI connectivity; P-FIT; graph theory; intelligence; polygenic scores; resting state fMRI.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brain* / diagnostic imaging
  • Educational Status
  • Genome-Wide Association Study*
  • Humans
  • Intelligence / genetics
  • Multifactorial Inheritance