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  Genetic architecture of the white matter connectome of the human brain

Sha, Z., Schijven, D., Fisher, S. E., & Francks, C. (2023). Genetic architecture of the white matter connectome of the human brain. Science Advances, 9(7): eadd2870. doi:10.1126/sciadv.add2870.

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© 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Sha, Zhiqiang1, Autor           
Schijven, Dick1, Autor           
Fisher, Simon E.1, 2, Autor           
Francks, Clyde1, 2, 3, 4, Autor           
Affiliations:
1Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society, ou_792549              
2Donders Institute for Brain, Cognition and Behaviour, External Organizations, ou_55236              
3Imaging Genomics, MPI for Psycholinguistics, Max Planck Society, ou_2579692              
4Radboud University Medical Center, Nijmegen, The Netherlands, ou_persistent22              

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 Zusammenfassung: White matter tracts form the structural basis of large-scale brain networks. We applied brain-wide tractography to diffusion images from 30,810 adults (U.K. Biobank) and found significant heritability for 90 node-level and 851 edge-level network connectivity measures. Multivariate genome-wide association analyses identified 325 genetic loci, of which 80% had not been previously associated with brain metrics. Enrichment analyses implicated neurodevelopmental processes including neurogenesis, neural differentiation, neural migration, neural projection guidance, and axon development, as well as prenatal brain expression especially in stem cells, astrocytes, microglia, and neurons. The multivariate association profiles implicated 31 loci in connectivity between core regions of the left-hemisphere language network. Polygenic scores for psychiatric, neurological, and behavioral traits also showed significant multivariate associations with structural connectivity, each implicating distinct sets of brain regions with trait-relevant functional profiles. This large-scale mapping study revealed common genetic contributions to variation in the structural connectome of the human brain.

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Sprache(n): eng - English
 Datum: 2023-02-17
 Publikationsstatus: Online veröffentlicht
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1126/sciadv.add2870
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Titel: Science Advances
  Andere : Sci. Adv.
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 9 (7) Artikelnummer: eadd2870 Start- / Endseite: - Identifikator: ISSN: 2375-2548
CoNE: https://pure.mpg.de/cone/journals/resource/2375-2548