Materials Map

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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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University Hospitals Plymouth NHS Trust

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Publications (4/4 displayed)

  • 2022Nationwide genetic analysis of more than 600 families with inherited eye diseases in Argentinacitations
  • 2022High-frequency contactless sensor for the detection of heparin-induced thrombocytopenia antibodies via platelet aggregation4citations
  • 2010Design and conduct of Caudwell Xtreme Everest: an observational cohort study of variation in human adaptation to progressive environmental hypoxia48citations
  • 2009Sustained activation of XBP1 splicing leads to endothelial apoptosis and atherosclerosis development in response to disturbed flow197citations

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  • Thomas, Nacke
  • Pliquett, Uwe
  • Zaikou, Yahor
  • Khan, Nida Zaman
  • Köhler, J. Michael
  • Heinrich, Doris
  • Nguyen, Thi-Huong
  • Jin, Zheng-Gen
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  • Pepe, Anna Elena
  • Alam, Saydul
  • Zampetaki, Anna
  • Hu, Yanhua
  • Chien, Shu
  • Mori, Kazutoshi
  • Li, Yi-Shuan Julie
  • Zeng, Lingfang
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document

Nationwide genetic analysis of more than 600 families with inherited eye diseases in Argentina

  • Nuova, Pedro
  • Ávila, Silvia
  • Esposito, Evangelina
  • Charles, Martin
  • Visotto, Mauro
  • Alcoba, Emilio
  • Misisian, Andrea Chirino
  • Varela, Malena Daich
  • Inga, M.
  • Gras, Julieta
  • Martin, Daniel
  • Michaelides, Michel
  • Picotti, Carolina
  • Pinto, José Luna
  • Yadarola, Maria Belen
  • Barbaro, Evangelina
  • Mendiara, Alejandro Álvarez
  • Gabrielli, Laura Fernández
  • Canonero, Ivana
  • Aucar, Maria Emilia
  • Capalbo, Luciana
  • Zompa, Tamara
  • Lotersztein, Vanesa
  • Ormaechea, Gerardo
  • Andreussi, Luciana
  • Francone, Anibal
  • Dipierri, José Edgardo
  • Schlottmann, Patricio
  • Labat, Natalia
  • Bainttein, Silvina
  • Arno, Gavin
  • Ibañez, Agustina
  • Pérez, Pablo
Abstract

<jats:title>Abstract</jats:title><jats:p><jats:bold>Background:</jats:bold> To conduct the first large-scale genetic analysis of inherited eye diseases (IED) in Argentina and describe the comprehensive genetic profile of a large cohort of patients. <jats:bold>Methods:</jats:bold> This is a retrospective study analyzing medical records of 22 ophthalmology and genetics services throughout 13 Argentinian provinces. Patients with a clinical diagnosis of an ophthalmic genetic disease and a history of genetic testing were included. Medical, ophthalmological and family history was collected. <jats:bold>Results:</jats:bold><jats:italic> </jats:italic>773 patients from 637 families were included, with 98% having inherited retinal disease. The most common phenotype was retinitis pigmentosa (RP, 62%). Causative variants were detected in 377 (59%) patients. <jats:italic>USH2A</jats:italic>, <jats:italic>RPGR</jats:italic>, and <jats:italic>ABCA4</jats:italic> were the most common disease-associated genes. <jats:italic>USH2A</jats:italic>was the most frequent gene to cause RP, <jats:italic>RDH12</jats:italic> early onset severe retinal dystrophy, <jats:italic>ABCA4</jats:italic> Stargardt disease, <jats:italic>PROM1</jats:italic> cone-rod dystrophy, and <jats:italic>BEST1</jats:italic> macular dystrophy. The most frequent variants were <jats:italic>RPGR</jats:italic>c.1345C&gt;T, p.(Arg449*) and <jats:italic>USH2A </jats:italic>c.15089C&gt;A, p.(Ser5030*). The study revealed 159/448 (35%) previously unreported pathogenic/likely pathogenic variants and 5 likely founder mutations. <jats:bold>Conclusions:</jats:bold><jats:italic> </jats:italic>We present the genetic landscape of IED in Argentina and the largest cohort in South America. This data will serve as a reference for future genetic studies, aid diagnosis, inform counselling, and assist in addressing the largely unmet need for clinical trials to be conducted in the region.</jats:p>

Topics
  • impedance spectroscopy