PYRAMA: an open-source tool for advanced meta-analysis of genome wide association studies.
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Where this comes from
- Record sourced from PubMed, PMID 41627853.
- Also identified by DOI 10.1093/bioinformatics/btag054 and PMC identifier 12925247.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Genome-wide association study (GWAS) meta-analysis tools are essential for integrating summary statistics across multiple cohorts, thereby increasing statistical power and validating genetic associations. Widely cited tools, such as METAL, PLINK, and GWAMA, have facilitated numerous significant discoveries in the field of GWAS. Nevertheless, these tools offer a limited set of meta-analysis methods and typically require users to have prior experience with command-line tools to be executed. We present here PYRAMA, an open-source tool which is designed for meta-analysis of genome wide association studies. This work introduces an easy-to-use software package that includes several meta-analysis methods that are absent in similar software packages. PYRAMA is faster compared to other tools, supports robust methods for analysis and meta-analysis, fixed-effects, random-effects and Bayesian meta-analysis and it is currently the only tool that supports meta-analysis with imputation of summary statistics. It is available both as a standalone tool and as a freely available web server. https://github.com/pbagos/PYRAMA, https://doi.org/10.5281/zenodo.17830449.
Medical subject headings
- Genome-Wide Association Study
- Software
- Meta-Analysis as Topic