What question did this study set out to answer?

The aim is to refine gene-disease association predictions for rare diseases using a global perspective.

May 24, 2026Scientific ReportsOpen Access

A global survey of systems biology-based predictions of gene-rare disease associations to enhance new diagnoses

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Randomized trial explores novel gene-disease predictions in rare diseases, suggesting improved diagnostic approaches.

The aim is to refine gene-disease association predictions for rare diseases using a global perspective.
Utilized a network-based algorithm to explore functional neighborhoods of known disease-associated genes.
Analyzed data for over 200 rare and Mendelian diseases to predict novel candidate genes.
Created a gene-disease specificity score integrating findings to enhance variant prioritization.
Identified 192 genes linked to a single disease and 251 genes functionally associated with specific genetic disease classes.
Functional analysis showed broad associations of certain genes with multiple conditions.
Developed a specificity score aimed at improving the prioritization of genetic variants for validation.

Benítez et al. (2026) studied this question.

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