GWAS Fine-Mapping & Causal Variant Prioritization
Identify and prioritize causal variants at GWAS loci using statistical fine-mapping and locus-to-gene predictions.
Overview
Genome-wide association studies (GWAS) identify genomic regions associated with traits, but linkage disequilibrium (LD) makes it difficult to pinpoint the causal variant. Fine-mapping uses Bayesian statistical methods to compute the posterior probability that each variant is causal, given the GWAS summary statist
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