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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

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Published on: October 13, 2023

LanDis: the disease landscape explorer.

Horacio Caniza^1,2, Juan J Cáceres², Mateo Torres³

¹Universidad Paraguayo Alemana de Ciencias Aplicadas, Facultad de Ciencias de la Ingeniería, San Lorenzo, Paraguay.

European Journal of Human Genetics : EJHG

|January 10, 2024

Summary

This summary is machine-generated.

LanDis is a tool mapping interactome distances between disease modules. It helps understand relationships between over 44 million heritable disease pairs for novel insights.

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Area of Science:

Network medicine
Genomics
Bioinformatics

Background:

Diseases arise from perturbations in the interactome, forming disease modules.
Phenotypically similar diseases cluster within specific interactome regions.

Purpose of the Study:

To introduce LanDis, a web-based tool for navigating interactome distances between disease modules.
To facilitate graphical exploration of relationships between over 44 million heritable disease pairs.

Main Methods:

Developed a map-like interface to visualize interactome distances.
Integrated data from OMIM and UniProt for disease-specific information.
Enabled graphical navigation and comparison of disease modules.

Main Results:

Created a comprehensive map of interactome distances for 44 million+ disease pairs.
Provided detailed comparisons and supporting evidence for disease relationships.
Linked diseases to OMIM and UniProt for further analysis.

Conclusions:

LanDis offers a novel approach to explore disease etiology and differential diagnosis.
The tool supports researchers, medical doctors, and the scientific community in understanding disease connections.