Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Schilling, Marcel

  • Google
  • 2
  • 27
  • 20

Institut d'Investigació Biomédica de Bellvitge

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024Genome-wide meta-analysis of short-tandem repeats for Parkinson's disease risk using genotype imputation2citations
  • 2020Electrical properties of (11-22) Si:AlGaN layers at high Al contents grown by metal-organic vapor phase epitaxy18citations

Places of action

Chart of shared publication
Parkkinen, Laura
1 / 1 shared
Lill, Christina
1 / 1 shared
Bertram, Lars
1 / 1 shared
Checkoway, Harvey
1 / 1 shared
Bronstein, Jeff M.
1 / 1 shared
Wittig, Michael
1 / 1 shared
Hansen, Johnni
1 / 2 shared
Altmann, Vivian
1 / 1 shared
Gmelin, David
1 / 1 shared
Dobricic, Valerija
1 / 3 shared
Paul, Kimberly
1 / 1 shared
Ritz, Beate
1 / 1 shared
Nielsen, Susan Searles
1 / 1 shared
Franke, Andre
1 / 3 shared
Ohlei, Olena
1 / 1 shared
Graupeter, Sarina
1 / 1 shared
Susilo, Norman
1 / 2 shared
Pietsch, Mike
1 / 3 shared
Kneissl, Michael
1 / 7 shared
Martin, Robert
1 / 35 shared
Foronda, Humberto M.
1 / 1 shared
Irmscher, Klaus
1 / 7 shared
Hunter, Daniel A.
1 / 2 shared
Enslin, Johannes
1 / 5 shared
Wernicke, Tim
1 / 6 shared
Muhin, Anton
1 / 1 shared
Sulmoni, Luca
1 / 1 shared
Chart of publication period
2024
2020

Co-Authors (by relevance)

  • Parkkinen, Laura
  • Lill, Christina
  • Bertram, Lars
  • Checkoway, Harvey
  • Bronstein, Jeff M.
  • Wittig, Michael
  • Hansen, Johnni
  • Altmann, Vivian
  • Gmelin, David
  • Dobricic, Valerija
  • Paul, Kimberly
  • Ritz, Beate
  • Nielsen, Susan Searles
  • Franke, Andre
  • Ohlei, Olena
  • Graupeter, Sarina
  • Susilo, Norman
  • Pietsch, Mike
  • Kneissl, Michael
  • Martin, Robert
  • Foronda, Humberto M.
  • Irmscher, Klaus
  • Hunter, Daniel A.
  • Enslin, Johannes
  • Wernicke, Tim
  • Muhin, Anton
  • Sulmoni, Luca
OrganizationsLocationPeople

article

Genome-wide meta-analysis of short-tandem repeats for Parkinson's disease risk using genotype imputation

  • Parkkinen, Laura
  • Lill, Christina
  • Bertram, Lars
  • Checkoway, Harvey
  • Bronstein, Jeff M.
  • Schilling, Marcel
  • Wittig, Michael
  • Hansen, Johnni
  • Altmann, Vivian
  • Gmelin, David
  • Dobricic, Valerija
  • Paul, Kimberly
  • Ritz, Beate
  • Nielsen, Susan Searles
  • Franke, Andre
  • Ohlei, Olena
Abstract

<jats:title>Abstract</jats:title><jats:p>Idiopathic Parkinson’s disease is determined by a combination of genetic and environmental factors. Recently, the first genome-wide association study on short-tandem repeats in Parkinson’s disease reported on eight suggestive short-tandem repeat-based risk loci (α=5.3×10-6), of which four were novel, i.e. they had not been implicated in Parkinson’s disease risk by genome-wide association analyses of single-nucleotide polymorphisms before.</jats:p><jats:p>Here, we tested these eight candidate short-tandem repeats in a large, independent Parkinson’s disease case-control dataset (n=4,757). Furthermore, we combined the results from both studies by meta-analysis resulting in the largest Parkinson’s disease genome-wide association study of short-tandem repeats to date (n=43,844). Lastly, we investigated whether leading short-tandem repeat risk variants exert functional effects on gene expression regulation based on methylation quantitative trait locus data in human post-mortem brain (n=142).</jats:p><jats:p>None of the eight previously reported short-tandem repeats were significantly associated with Parkinson’s disease in our independent dataset after multiple testing correction (α=6.25x10-3). However, we observed modest support for short tandem repeats near CCAR2 and NCOR1 in the updated meta-analyses of all available data. While the genome-wide meta-analysis did not reveal additional study-wide significant (α=6.3×10-7) short-tandem repeat signals, we identified seven novel suggestive Parkinson’s disease short-tandem repeat risk loci (α=5.3×10-6). Of these, especially a short-tandem repeat near MEIOSIN showed consistent evidence for association across datasets. CCAR2, NCOR1 and one novel suggestive locus identified here (LINC01012) emerged from colocalization analyses showing evidence for a shared causal short-tandem repeat variant affecting both Parkinson’s disease risk and cis DNA methylation in brain. Larger studies, ideally using short-tandem repeats called from whole-sequencing data, are needed to more fully investigate their role in Parkinson’s disease.</jats:p>

Topics
  • impedance spectroscopy
  • chemical ionisation