PYRAMA: an open-source tool for advanced meta-analysis of genome wide association studies

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Authors: Γεώργιος Μανιός, Sophia Nteli, Panagiota I. Kontou, Pantelis G. Bagos
Cited by: 0
References: 45

Abstract

MOTIVATION: 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. RESULTS: 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. AVAILABILITY AND IMPLEMENTATION: https://github.com/pbagos/PYRAMA, https://doi.org/10.5281/zenodo.17830449.

Fields of Study & Subjects

Genetic Associations and Epidemiology Bioinformatics and Genomic Networks Genetic Mapping and Diversity in Plants and Animals

Publication details

Journal / source
Bioinformatics
Volume
42
Issue
2
Publication date
28 January 2026
Language
EN