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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Evaluation of the Association between FGFR2 Gene Polymorphisms and Breast Cancer Risk in the Bangladeshi Population6citations

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Bhowmik, Khokon Kanti
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Abdulabbas, Hadi Sajid
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Hossen, Md. Shafiul
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Jahan, Nusrat
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Barek, Md Abdul
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Begum, Mobashera
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Aziz, Md. Abdul
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2023

Co-Authors (by relevance)

  • Bhowmik, Khokon Kanti
  • Abdulabbas, Hadi Sajid
  • Hossen, Md. Shafiul
  • Jahan, Nusrat
  • Barek, Md Abdul
  • Begum, Mobashera
  • Aziz, Md. Abdul
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article

Evaluation of the Association between FGFR2 Gene Polymorphisms and Breast Cancer Risk in the Bangladeshi Population

  • Bhowmik, Khokon Kanti
  • Abdulabbas, Hadi Sajid
  • Hossen, Md. Shafiul
  • Jahan, Nusrat
  • Akter, Tahmina
  • Barek, Md Abdul
  • Begum, Mobashera
  • Aziz, Md. Abdul
Abstract

<jats:p>Breast cancer is considered the most frequent cause of mortality from malignancy among females. Fibroblast growth factor receptor 2 (FGFR2) gene polymorphisms are highly related to the risk of breast cancer. However, no investigation has been carried out to determine the association of FGFR2 gene polymorphisms in the Bangladeshi population. Based on polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP), this study was performed to evaluate the association of FGFR2 (rs1219648, rs2420946, and rs2981582) variants in 446 Bangladeshi women (226 cases and 220 controls). A significant association of the FGFR2 rs1219648 variant with breast malignancy was reported in additive model 1 (aOR = 2.87, p &lt; 0.0001), additive model 2 (aOR = 5.62, p &lt; 0.0001), the dominant model (aOR = 2.87, p &lt; 0.0001), the recessive model (aOR = 4.04, p &lt; 0.0001), and the allelic model (OR = 2.16, p &lt; 0.0001). This investigation also explored the significant association of the rs2981582 variant with the risk of breast cancer in additive model 2 (aOR = 2. 60, p = 0.010), the recessive model (aOR = 2.47, p = 0.006), and the allelic model (OR = 1.39, p = 0.016). However, the FGFR2 rs2420946 polymorphism showed no association with breast cancer except in the overdominant model (aOR = 0.62, p = 0.048). Furthermore, GTT (p &lt; 0.0001) haplotypes showed a correlation with breast cancer risk, and all variants showed strong linkage disequilibrium. Moreover, in silico gene expression analysis showed that the FGFR2 level was upregulated in BC tissues compared to healthy tissues. This study confirms the association of FGFR2 polymorphisms with breast cancer risk.</jats:p>

Topics
  • impedance spectroscopy