Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2019Interaction of schizophrenia polygenic risk and cortisol level on pre-adolescent brain structure21citations
  • 2019Common Polygenic Variations for Psychiatric Disorders and Cognition in Relation to Brain Morphology in the General Pediatric Population47citations

Places of action

Chart of shared publication
Jaddoe, Vincent W. V.
2 / 3 shared
Rossum, Elisabeth F. C. Van
1 / 1 shared
Vernooij, Meike W.
1 / 1 shared
Neumann, Alexander
1 / 1 shared
Muetzel, Ryan L.
2 / 3 shared
Akker, Erica T. L. Van Den
1 / 1 shared
Hillegers, Manon H. J.
1 / 1 shared
Kushner, Steven A.
1 / 1 shared
Jansen, Philip
2 / 2 shared
Bolhuis, Koen
1 / 1 shared
Tiemeier, Henning
2 / 3 shared
Alemany, Silvia
1 / 1 shared
Marques, Natália
1 / 1 shared
Polderman, Tinca Jc
1 / 1 shared
Marroun, Hanan El
1 / 2 shared
Posthuma, Danielle
1 / 2 shared
Chart of publication period
2019

Co-Authors (by relevance)

  • Jaddoe, Vincent W. V.
  • Rossum, Elisabeth F. C. Van
  • Vernooij, Meike W.
  • Neumann, Alexander
  • Muetzel, Ryan L.
  • Akker, Erica T. L. Van Den
  • Hillegers, Manon H. J.
  • Kushner, Steven A.
  • Jansen, Philip
  • Bolhuis, Koen
  • Tiemeier, Henning
  • Alemany, Silvia
  • Marques, Natália
  • Polderman, Tinca Jc
  • Marroun, Hanan El
  • Posthuma, Danielle
OrganizationsLocationPeople

article

Common Polygenic Variations for Psychiatric Disorders and Cognition in Relation to Brain Morphology in the General Pediatric Population

  • Alemany, Silvia
  • Marques, Natália
  • Jaddoe, Vincent W. V.
  • Polderman, Tinca Jc
  • Muetzel, Ryan L.
  • White, Tonya
  • Marroun, Hanan El
  • Jansen, Philip
  • Posthuma, Danielle
  • Tiemeier, Henning
Abstract

<p>Objective: This study examined the relation between polygenic scores (PGSs) for 5 major psychiatric disorders and 2 cognitive traits with brain magnetic resonance imaging morphologic measurements in a large population-based sample of children. In addition, this study tested for differences in brain morphology-mediated associations between PGSs for psychiatric disorders and PGSs for related behavioral phenotypes. Method: Participants included 1,139 children from the Generation R Study assessed at 10 years of age with genotype and neuroimaging data available. PGSs were calculated for schizophrenia, bipolar disorder, major depression disorder, attention-deficit hyperactivity disorder (ADHD), autism spectrum disorder, intelligence, and educational attainment using results from the most recent genome-wide association studies. Image processing was performed using FreeSurfer to extract cortical and subcortical brain volumes. Results: Greater genetic susceptibility for ADHD was associated with smaller caudate volume (strongest prior = 0.01: β = −0.07, p =.006). In boys, mediation analysis estimates showed that 11% of the association between the PGS for ADHD and the PGS attention problems was mediated by differences in caudate volume (n = 535), whereas mediation was not significant in girls or the entire sample. PGSs for educational attainment and intelligence showed positive associations with total brain volume (strongest prior = 0.5: β = 0.14, p = 7.12 × 10<sup>−8</sup>; and β = 0.12, p = 6.87 × 10<sup>−7</sup>, respectively). Conclusion: The present findings indicate that the neurobiological manifestation of polygenic susceptibility for ADHD, educational attainment, and intelligence involve early morphologic differences in caudate and total brain volumes in childhood. Furthermore, the genetic risk for ADHD might influence attention problems through the caudate nucleus in boys.</p>

Topics
  • morphology
  • susceptibility