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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977 Locations available

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2019Crystallization of Mordenite Platelets using Cooperative Organic Structure-Directing Agents48citations
  • 2014Increased Frequency of De Novo Copy Number Variants in Congenital Heart Disease by Integrative Analysis of Single Nucleotide Polymorphism Array and Exome Sequence Data248citations

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Chart of shared publication
Clark, R. John
1 / 1 shared
Zeng, Zhiyuan
1 / 1 shared
Prisco, Nathan A.
1 / 4 shared
Rimer, Jeffrey D.
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Zheng, Qi
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Chmelka, Bradley F.
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Mccusker, Lynne B.
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Palmer, Jeremy C.
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Kumar, Manjesh
1 / 1 shared
Berkson, Zachariah J.
1 / 1 shared
Zheng, Haimei
1 / 1 shared
Chart of publication period
2019
2014

Co-Authors (by relevance)

  • Clark, R. John
  • Zeng, Zhiyuan
  • Prisco, Nathan A.
  • Rimer, Jeffrey D.
  • Zheng, Qi
  • Chmelka, Bradley F.
  • Mccusker, Lynne B.
  • Palmer, Jeremy C.
  • Kumar, Manjesh
  • Berkson, Zachariah J.
  • Zheng, Haimei
OrganizationsLocationPeople

article

Increased Frequency of De Novo Copy Number Variants in Congenital Heart Disease by Integrative Analysis of Single Nucleotide Polymorphism Array and Exome Sequence Data

  • Chung, Wendy K.
  • White, Peter
  • Seidman, Jonathan G.
  • State, Matthew W.
  • Gelb, Bruce D.
  • Sanders, Stephan J.
  • Iossifov, Ivan
  • Ito, Kaoru
  • Seidman, Christine E.
  • Rodriguez-Murillo, Laura
  • Yamrom, Boris
  • Warburton, Dorothy
  • Golhar, Ryan
  • Mazaika, Erica
  • Italia, Michael J.
  • Kaltman, Jonathan R.
  • Willsey, A. Jeremy
  • Hakonarson, Hakon
  • Bick, Alexander G.
  • Ronemus, Michael
  • Lifton, Richard P.
  • Homsy, Jason
  • Goldmuntz, Elizabeth
  • Depalma, Steven R.
  • Brueckner, Martina
  • Leipzig, Jeremy
  • Shen, Yufeng
  • Glessner, Joseph
  • Fromer, Menachem
  • Vardarajan, Badri N.
Abstract

Rationale:Congenital heart disease (CHD) is among the most common birth defects. Most cases are of unknown pathogenesis. Objective:To determine the contribution of de novo copy number variants (CNVs) in the pathogenesis of sporadic CHD. Methods and Results:We studied 538 CHD trios using genome-wide dense single nucleotide polymorphism arrays and whole exome sequencing. Results were experimentally validated using digital droplet polymerase chain reaction. We compared validated CNVs in CHD cases with CNVs in 1301 healthy control trios. The 2 complementary high-resolution technologies identified 63 validated de novo CNVs in 51 CHD cases. A significant increase in CNV burden was observed when comparing CHD trios with healthy trios, using either single nucleotide polymorphism array (P=7×10−5; odds ratio, 4.6) or whole exome sequencing data (P=6×10−4; odds ratio, 3.5) and remained after removing 16% of de novo CNV loci previously reported as pathogenic (P=0.02; odds ratio, 2.7). We observed recurrent de novo CN...

Topics
  • impedance spectroscopy
  • defect