2021
DOI: 10.1093/bioinformatics/btab665
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MungeSumstats: a Bioconductor package for the standardization and quality control of many GWAS summary statistics

Abstract: Motivation Genome-wide association studies (GWAS) summary statistics have popularised and accelerated genetic research. However, a lack of standardisation of the file formats used has proven problematic when running secondary analysis tools or performing meta-analysis studies. Results To address this issue, we have developed MungeSumstats, a Bioconductor R package for the standardisation and quality control of GWAS summary st… Show more

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Cited by 66 publications
(49 citation statements)
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“…GWAS summary statistics for AD [ 14 ] were tested for enrichment in microglial nuclei and monocytes samples using MAGMA (v1.08) [ 70 ] and MungeSumstats (v1.1.24) [ 71 ] packages [ 40 ]. First, summary statistics were mapped to genes using the map.snps.to.genes function of MAGMA.Celltyping (v1.0.1) [ 40 ].…”
Section: Methodsmentioning
confidence: 99%
“…GWAS summary statistics for AD [ 14 ] were tested for enrichment in microglial nuclei and monocytes samples using MAGMA (v1.08) [ 70 ] and MungeSumstats (v1.1.24) [ 71 ] packages [ 40 ]. First, summary statistics were mapped to genes using the map.snps.to.genes function of MAGMA.Celltyping (v1.0.1) [ 40 ].…”
Section: Methodsmentioning
confidence: 99%
“…The meta-analysis of this study consists of the three EUR participant studies: UKB-EUR+ FinMetSeq+ Kettunen et al datasets (N=114,124 to 124,024). MungeSumstats 55 was used in pre-processing to harmonize effect alleles from separate cohorts to the reference genome. UKB-EUR was used to estimate the number of effective traits for the three EUR meta-analysis cohorts.…”
Section: Methodsmentioning
confidence: 99%
“…The 1000 Genomes European set was used as the LD reference panel 50 . MungeSumstats 55 was used to harmonize alleles and convert summary statistics to LDSC format for this and subsequent steps. Variance explained was calculated by the formula (2 × MAF × (1 - MAF) × β 2 ).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Base summary statistics were pruned with the MungeSumStats R package 66 to remove multiallelic variants, align reference alleles to build GRCh37, and adjust weights for the appropriate reference alleles. The target TANGL dataset SNPs were also filtered to keep only bi-allelic variants and aligned to the same reference using PLINK v2.0.…”
Section: Methodsmentioning
confidence: 99%