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Discovering Biomarkers in Parkinson’s Disease Using Module Correspondence and Pathway Information

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Proceedings of the Sixth International Conference on Mathematics and Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1262))

Abstract

Genes are the backbone of living bodies. Gene modules are nothing but group of genes responsible for carrying out various life-supporting functions in the body. However, any disruption in the activity of genes leads to an imbalance in the body referred to as diseased condition. Parkinson’s Disease is one such neurological disease caused by the mutation of certain genes in the body. In this paper, we have analyzed the correspondence between modules involved in both healthy and diseased stage of a Parkinsonian patient. An extensive study of these modules in terms of both topological and pathway aspects is done and few interesting biomarkers such as ADCY2, GNB5, HTR2A, GRIN2, and GRIN1 have been discovered which can be associated with Parkinson’s Disease in early or later stages.

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Notes

  1. 1.

    https://www.webmd.com/parkinsons-disease/guide/parkinsons-faq#1.

  2. 2.

    grantome.com/grant/NIH/K01-NS047548-01AI.

  3. 3.

    http://www.alz.org/dementia/parkinsons-disease-symptoms.asp.

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Author information

Authors and Affiliations

  1. Department of IT, BIT Sindri, Dhanbad, India

    Pooja Sharma

  2. Department of EE, BIT Sindri, Dhanbad, India

    Anuj K. Pandey

  3. Department of CSE, Tezpur University, Assam, India

    Dhruba K. Bhattacharyya

  4. Department of CS, University of Colorado at Colorado Springs, Colorado, USA

    Jugal K. Kalita

  5. Department of CSE, BIT Sindri, Dhanbad, India

    Subhash C. Dutta

Authors
  1. Pooja Sharma
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  2. Anuj K. Pandey
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  3. Dhruba K. Bhattacharyya
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  4. Jugal K. Kalita
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  5. Subhash C. Dutta
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Corresponding author

Correspondence to Pooja Sharma .

Editor information

Editors and Affiliations

  1. Department of Information Technology, Maulana Abul Kalam Azad University of Technology, Haringhata, West Bengal, India

    Debasis Giri

  2. School of Computing and Information Systems, University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

  3. Department of Mathematics, Indian Institute of Technology Madras, Chennai, India

    S. Ponnusamy

  4. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Haringhata, West Bengal, India

    Debashis De

  5. Unconventional Computing Laboratory, Department of Computer Science and Creative Technologies, University of the West of England, Bristol, UK

    Andrew Adamatzky

  6. Faculty of Science, Engineering and Built Environment, Deakin University Geelong, Geelong, VIC, Australia

    Jemal H. Abawajy

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Sharma, P., Pandey, A.K., Bhattacharyya, D.K., Kalita, J.K., Dutta, S.C. (2021). Discovering Biomarkers in Parkinson’s Disease Using Module Correspondence and Pathway Information. In: Giri, D., Buyya, R., Ponnusamy, S., De, D., Adamatzky, A., Abawajy, J.H. (eds) Proceedings of the Sixth International Conference on Mathematics and Computing. Advances in Intelligent Systems and Computing, vol 1262. Springer, Singapore. https://doi.org/10.1007/978-981-15-8061-1_20

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