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August 4, 2025PeerJ Computer ScienceOpen Access

A review of methods and software for polygenic risk score analysis

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Authors

SBSara BenoumhaniAlfaisal UniversityAAAreej Al‐WabilAlfaisal UniversityNINiddal ImamSaudi Electronic University

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Overview

This review explores advances in polygenic risk scores, assessing methods and software tools for disease prediction and management.

Key Points

  • Main finding: Polygenic risk scores offer new ways to predict disease susceptibility using genetic variants.
  • Key evidence: The review identified 40 articles examining various PRS methods and their applications.
  • Approach: Methods include Bayesian approaches, threshold-based approaches, and machine learning techniques.
  • Significance: The advancements in PRS can enhance disease management and highlight future research directions.

Cite This Study

Benoumhani et al. (2025) studied this question.

synapsesocial.com/papers/689a0f86e6551bb0af8d09c9https://doi.org/10.7717/peerj-cs.3039
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