Structural architecture and brain network efficiency links polygenic scores to intelligence

Genc, E.; Metzen, D.; Fraenz, C.; Schlüter, C.; Völkle, M. C.; Arning, L.; Streit, F.; Nguyen, H. P.; Güntürkün, O.; Ocklenburg, S.; Kumsta, R.

doi:10.1101/2022.03.22.485284

bioRxiv · 10.1101/2022.03.22.485284

Structural architecture and brain network efficiency links polygenic scores to intelligence

Genc, E.·Metzen, D.·Fraenz, C.·Schlüter, C.·Völkle, M. C.·Arning, L.·Streit, F.·Nguyen, H. P.·Güntürkün, O.·Ocklenburg, S.·Kumsta, R.

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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 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.

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Genc, E., Metzen, D., Fraenz, C., Schlüter, C., Völkle, M. C., Arning, L., Streit, F., Nguyen, H. P., Güntürkün, O., Ocklenburg, S., Kumsta, R.. 2022-03-23. Structural architecture and brain network efficiency links polygenic scores to intelligence. https://doi.org/10.1101/2022.03.22.485284

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