001     1034040
005     20241219210858.0
024 7 _ |a 10.1101/2024.06.25.24309376
|2 doi
024 7 _ |a 10.34734/FZJ-2024-06870
|2 datacite_doi
037 _ _ |a FZJ-2024-06870
100 1 _ |a Primus, Sabrina A.
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Beyond Volume: Unraveling the Genetics of Human Brain Geometry
260 _ _ |c 2024
336 7 _ |a Preprint
|b preprint
|m preprint
|0 PUB:(DE-HGF)25
|s 1734618612_15343
|2 PUB:(DE-HGF)
336 7 _ |a WORKING_PAPER
|2 ORCID
336 7 _ |a Electronic Article
|0 28
|2 EndNote
336 7 _ |a preprint
|2 DRIVER
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a Output Types/Working Paper
|2 DataCite
500 _ _ |a This study was funded by Helmholtz Imaging grants (NimRLS, ZT-I-PF-4-010 and BrainShapes, ZT-I-PF-4-062).
520 _ _ |a Brain geometry impacts brain function. A quantitative encoding of form is provided by the Laplace-Beltrami operator’s spectrum of eigenvalues (LBS). We examined LBS genetics of 22 subcortical brain structures including cerebellum in 19,862 healthy White-British UK Biobank participants by multivariate GWAS (MOSTest) on the first 49 eigenvalues each. Controlling for surface and volume, we identified 80 unique variants (p<1/22*5E-8) influencing the shapes of one or several structures, with the highest yield (37 variants) for brain stem. The previously known influence of several of these loci on basic morphology, such as volume, is thus shown to also influence complex shape. Known associations of observed loci with blood pressure, neurodegeneration, alcohol consumption, and mental disorders hint at preclinical stages of these conditions potentially mediating the genetic effect on brain morphology. Significant correlations between LBS of several brain structures and the polygenic risks of hypertension, ischemic stroke and schizophrenia evince brain shapes as early biomarkers.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Hoffstaedter, Felix
|0 P:(DE-Juel1)131684
|b 1
700 1 _ |a Raimondo, Federico
|0 P:(DE-Juel1)185083
|b 2
|e Corresponding author
700 1 _ |a Eickhoff, Simon B.
|0 P:(DE-Juel1)131678
|b 3
700 1 _ |a Winkelmann, Juliane
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Oexle, Konrad
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Patil, Kaustubh R.
|0 P:(DE-Juel1)172843
|b 6
773 _ _ |a 10.1101/2024.06.25.24309376
856 4 _ |u https://juser.fz-juelich.de/record/1034040/files/Unbenannte%20Anlage%2000010.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:1034040
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)131684
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)185083
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)131678
910 1 _ |a HHU Düsseldorf
|0 I:(DE-HGF)0
|b 3
|6 P:(DE-Juel1)131678
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)172843
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5251
|x 0
914 1 _ |y 2024
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
980 _ _ |a preprint
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21