PRED-LD: efficient imputation of GWAS summary statistics
PRED-LD offers an efficient and accurate method for GWAS summary statistics imputation, providing faster performance, direct result interpretation, and the ability to use multiple reference panels. Also, the online version of PRED-LD simplifies obtaining LD information and performing imputation tasks without downloading reference panels and will be continuously updated to support tools for meta-analysis and fine-mapping in GWAS.
Authors
- Pantelis G. Bagos (ORCID: https://orcid.org/0000-0003-4935-2325)
- Γεώργιος Μανιός
- Panagiota I. Kontou (ORCID: https://orcid.org/0000-0003-3321-7911)
- Aikaterini Michailidi
Institutions
- University of Thessaly (GR)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1186/s12859-025-06119-y
- Citations
- 1
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- European Commission
- University of Thessaly