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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Materials Map under construction

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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1.080 Topics available

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2018Epigenetic variance in dopamine D2 receptor26citations
  • 2016Evidence of common genetic overlap between schizophrenia and cognition115citations

Places of action

Chart of shared publication
Zammit, Stanley
1 / 2 shared
Hubbard, Leon
1 / 2 shared
Odonovan, Michael Conlon
1 / 1 shared
Linden, David Edmund Johannes
1 / 1 shared
Walters, James Tynan Rhys
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Owen, Michael John
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Moran, Jennifer L.
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Mccarroll, Steven A.
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Tansey, Katherine
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Jones, Peter
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Rai, Dheeraj
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Chart of publication period
2018
2016

Co-Authors (by relevance)

  • Zammit, Stanley
  • Hubbard, Leon
  • Odonovan, Michael Conlon
  • Linden, David Edmund Johannes
  • Walters, James Tynan Rhys
  • Owen, Michael John
  • Moran, Jennifer L.
  • Mccarroll, Steven A.
  • Chambert, Kimberly D.
  • Tansey, Katherine
  • Jones, Peter
  • Rai, Dheeraj
OrganizationsLocationPeople

article

Epigenetic variance in dopamine D2 receptor

  • Martinot, Marie Laure Paillère
  • Ittermann, Bernd
  • Kaminski, Jakob A.
  • Rapp, Michael
  • Smolka, Michael
  • Ruggeri, Barbara
  • Fröhner, Juliane
  • Flor, Herta
  • Walter, Henrik
  • Orfanos, Dimitri Papadopoulos
  • Gowland, Penny
  • Bokde, Arun L. W.
  • Quinlan, Erin Burke
  • Schlagenhauf, Florian
  • Consortium, Imagen
  • Deserno, Lorenz
  • Awasthi, Swapnil
  • Poustka, Luise
  • Frouin, Vincent
  • Schumann, Gunter
  • Banaschewski, Tobias
  • Garavan, Hugh
  • Bromberg, Uli
  • Nees, Frauke
  • Desrivières, Sylvane
  • Ripke, Stephan
  • Martinot, Jean Luc
  • Paus, Tomáš
  • Büchel, Christian
  • Whelan, Robert
  • Heinz, Andreas
Abstract

<p>Genetic and environmental factors both contribute to cognitive test performance. A substantial increase in average intelligence test results in the second half of the previous century within one generation is unlikely to be explained by genetic changes. One possible explanation for the strong malleability of cognitive performance measure is that environmental factors modify gene expression via epigenetic mechanisms. Epigenetic factors may help to understand the recent observations of an association between dopamine-dependent encoding of reward prediction errors and cognitive capacity, which was modulated by adverse life events. The possible manifestation of malleable biomarkers contributing to variance in cognitive test performance, and thus possibly contributing to the “missing heritability” between estimates from twin studies and variance explained by genetic markers, is still unclear. Here we show in 1475 healthy adolescents from the IMaging and GENetics (IMAGEN) sample that general IQ (gIQ) is associated with (1) polygenic scores for intelligence, (2) epigenetic modification of DRD2 gene, (3) gray matter density in striatum, and (4) functional striatal activation elicited by temporarily surprising reward-predicting cues. Comparing the relative importance for the prediction of gIQ in an overlapping subsample, our results demonstrate neurobiological correlates of the malleability of gIQ and point to equal importance of genetic variance, epigenetic modification of DRD2 receptor gene, as well as functional striatal activation, known to influence dopamine neurotransmission. Peripheral epigenetic markers are in need of confirmation in the central nervous system and should be tested in longitudinal settings specifically assessing individual and environmental factors that modify epigenetic structure.</p>

Topics
  • density
  • impedance spectroscopy
  • activation