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Article

FINEMAP-miss: fine-mapping genome-wide association studies with missing genotype information.

Bioinformatics (Oxford, England) - 1 Dec 2025

Kartau Joonas, Pirinen Matti

Abstract excerpt

MOTIVATION: The most informative genome-wide association studies (GWAS) are meta-analyses that have combined multiple studies to increase the GWAS sample size. Statistical fine-mapping is a key downstream analysis of GWAS to jointly evaluate the probability of causality of all variants in a genomic region of interest. Current fine-mapping methods are miscalibrated in the meta-analysis setting due to variation in...

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Topics

Genome-Wide Association Study
Humans
Genotype
Breast Neoplasms
Chromosome Mapping
Software
Polymorphism, Single Nucleotide

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Identifiers

PMID: 41206934
DOI: 10.1093/bioinformatics/btaf616
PMCID: PMC12668598

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