Marijn-Schipper/FLAMES
FLAMES: Accurate gene prioritization in GWAS loci
When analyzing the results of a Genome-Wide Association Study (GWAS), it can be challenging to identify the specific genes responsible for a trait or disease. FLAMES helps researchers in genetics and genomics pinpoint the most relevant genes within identified genomic regions (GWAS loci). It takes raw GWAS summary statistics, MAGMA gene-level Z-scores, PoPS scores, and statistical fine-mapping results as input, and outputs a prioritized list of genes likely to be causal.
Use this if you need to accurately identify the most biologically relevant genes within complex GWAS results, moving beyond simply finding associated genomic regions to pinpointing specific gene candidates.
Not ideal if you are looking for a tool to perform the initial GWAS analysis, calculate MAGMA Z-scores, or run PoPS; these steps need to be completed beforehand.
Stars
57
Forks
8
Language
Python
License
MIT
Category
Last pushed
Dec 16, 2025
Commits (30d)
0
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