Addressing Overlapping Sample Challenges in Genome-Wide Association Studies: Meta-Reductive Approach

Abstract excerpt

Polygenic risk scores (PRS) are instrumental in genetics, offering insights into an individual level genetic risk to a range of diseases based on accumulated genetic variations. These scores rely on Genome-Wide Association Studies (GWAS). However, precision in PRS is often challenged by the requirement of extensive sample sizes and the potential for overlapping datasets that can inflate PRS calculations. In this s...

Topics

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• Alzheimer Disease
• Genetic Predisposition to Disease
• Genome-Wide Association Study
• Genotype
• Multifactorial Inheritance
• Polymorphism, Single Nucleotide
• Risk Factors
• Sample Size

Identifiers and source

Literature Corpus work

8d9aad38-3176-52ba-81aa-e551160da6ad

DOI

10.1101/2023.12.08.570867