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Related Concept Videos

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Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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Prioritising risk pathways of complex human diseases based on functional profiling.

Yan Li1, Teng Huang, Yun Xiao

  • 1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

European Journal of Human Genetics : EJHG
|October 11, 2012
PubMed
Summary

This study introduces a novel computational framework, Functional Profiling-based Pathway Prioritisation (FPPP), to identify disease-risk biological pathways by analyzing functional profiles. FPPP accurately prioritizes pathways, enhancing our understanding of complex human disease mechanisms.

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Area of Science:

  • Computational biology
  • Genomics
  • Systems biology

Background:

  • Traditional pathway analysis for complex human diseases often overlooks functional associations between genes and pathways.
  • Identifying disease-related biological pathways is crucial for understanding disease pathogenesis.

Purpose of the Study:

  • To develop a novel computational framework for prioritizing disease-risk pathways based on functional profiling.
  • To create a web toolkit (FPPP) for accessible disease-risk pathway identification.

Main Methods:

  • Translating disease gene sets and biological pathways into functional profiles using Gene Ontology (GO) annotations.
  • Implementing a semantic similarity measurement to calculate concordance scores between disease and pathway functional profiles.
  • Developing the Functional Profiling-based Pathway Prioritisation (FPPP) web toolkit.

Main Results:

  • The FPPP method achieved high accuracy in identifying known disease-pathway pairs (AUC values of 96.73% and 95.02%).
  • Robustness analysis confirmed FPPP's reliability, even with noisy data.
  • A case study on dilated cardiomyopathy highlighted FPPP's ability to identify relevant pathways, and a large-scale analysis predicted risk pathways for 413 diseases.

Conclusions:

  • The developed functional profiling approach offers a robust and accurate method for prioritizing disease-risk pathways.
  • FPPP provides a valuable tool for researchers to explore disease mechanisms and associations.
  • The disease similarity landscape generated by FPPP reveals global modular organization of disease relationships.