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@ARTICLE{Primus:1034040,
      author       = {Primus, Sabrina A. and Hoffstaedter, Felix and Raimondo,
                      Federico and Eickhoff, Simon B. and Winkelmann, Juliane and
                      Oexle, Konrad and Patil, Kaustubh R.},
      title        = {{B}eyond {V}olume: {U}nraveling the {G}enetics of {H}uman
                      {B}rain {G}eometry},
      reportid     = {FZJ-2024-06870},
      year         = {2024},
      note         = {This study was funded by Helmholtz Imaging grants (NimRLS,
                      ZT-I-PF-4-010 and BrainShapes, ZT-I-PF-4-062).},
      abstract     = {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.},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.1101/2024.06.25.24309376},
      url          = {https://juser.fz-juelich.de/record/1034040},
}