Abstract
GWAS summary statistics are fundamental for a variety of research applications yet no common storage format has been widely adopted. Existing tabular formats ambiguously or incompletely store information about genetic variants and associations, lack essential metadata and are typically not indexed yielding poor query performance and increasing the possibility of errors in data interpretation and post-GWAS analyses. To address these issues, we adapted the variant call format to store GWAS summary statistics (GWAS-VCF) and developed open-source tools to use this format in downstream analyses. We provide open access to over 10,000 complete GWAS summary datasets converted to this format (https://gwas.mrcieu.ac.uk).
Original language | English |
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Article number | 32 |
Number of pages | 10 |
Journal | Genome Biology |
Volume | 22 |
Issue number | 1 |
DOIs | |
Publication status | Published - 13 Jan 2021 |
Keywords
- GWAS
- VCF
- summary statistics
- storage format