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

Nedergaard, Arne

  • Google
  • 1
  • 11
  • 40

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2020Variants of uncertain clinical significance in hereditary breast and ovarian cancer genes: best practices in functional analysis for clinical annotation40citations

Places of action

Chart of shared publication
Couch, Fergus
1 / 2 shared
Eccles, Diana M.
1 / 4 shared
Monteiro, Alvaro
1 / 2 shared
Bouwman, Peter
1 / 1 shared
Millot, Gael A.
1 / 1 shared
Schmidt, Marjanka K.
1 / 1 shared
Masson, Jean-Yves
1 / 1 shared
Scully, Ralph
1 / 1 shared
Sharan, Shyam K.
1 / 1 shared
Vreeswijk, Maaike P. G.
1 / 1 shared
Wiesmuller, Lisa
1 / 1 shared
Chart of publication period
2020

Co-Authors (by relevance)

  • Couch, Fergus
  • Eccles, Diana M.
  • Monteiro, Alvaro
  • Bouwman, Peter
  • Millot, Gael A.
  • Schmidt, Marjanka K.
  • Masson, Jean-Yves
  • Scully, Ralph
  • Sharan, Shyam K.
  • Vreeswijk, Maaike P. G.
  • Wiesmuller, Lisa
OrganizationsLocationPeople

article

Variants of uncertain clinical significance in hereditary breast and ovarian cancer genes: best practices in functional analysis for clinical annotation

  • Couch, Fergus
  • Eccles, Diana M.
  • Monteiro, Alvaro
  • Nedergaard, Arne
  • Bouwman, Peter
  • Millot, Gael A.
  • Schmidt, Marjanka K.
  • Masson, Jean-Yves
  • Scully, Ralph
  • Sharan, Shyam K.
  • Vreeswijk, Maaike P. G.
  • Wiesmuller, Lisa
Abstract

Germline DNA tests to identify pathogenic variants in genes linked to hereditary breast and ovarian cancer susceptibility have become widely available. However, the clinical utility of genetic testing depends on reliable evidence-based classification of sequence variants.Determination of pathogenicity traditionally relies on painstaking pedigree-based segregation analyses. However, the rapid increase in usage of germline DNA tests has led to the discovery of a large number of variants of uncertain clinical significance (VUS). For most VUS there is insufficient information for segregation analysis and therefore assessment of functional consequences is increasingly being used to support clinical annotation. Functional assays need to be accurate, robust, and reproducible to be used for clinical purposes. Here we use the lessons learned from BRCA1 and BRCA2 to identify best practices for the use of functional assays for clinical annotation of germline VUS in breast and ovarian cancer genes. We provide recommendations for the interpretation and use of established functional assays as well as for the development of new assays.

Topics
  • impedance spectroscopy
  • susceptibility