ArticleBMC bioinformatics2022
SumStatsRehab: an efficient algorithm for GWAS summary statistics assessment and restoration.
Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Transcriptome-wide association analysis of Alzheimer's disease: construction and clinical validation of transcriptomic risk scores.European archives of psychiatry and clinical neuroscience · 2026Article
- CCAFE: Estimating case and control allele frequencies from GWAS summary statistics.HGG advances · 2026Article
- Multi-omics uncovers the pleiotropic genetic mechanisms linking MASLD and cardiometabolic syndromes.Cardiovascular diabetology · 2026Article
- Blood metabolites, protein regulatory networks and their roles in pan-cancer: a mendelian randomisation study.Discover oncology · 2025Article
- TidyGWAS: a scalable approach for standardized cleaning of genome-wide association study summary statistics.Bioinformatics advances · 2025Article
- Causal effects of genetically determined metabolites and metabolite ratios on esophageal diseases: a two-sample Mendelian randomization study.BMC gastroenterology · 2024Article
- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- BCFtools/liftover: an accurate and comprehensive tool to convert genetic variants across genome assemblies.Bioinformatics (Oxford, England) · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenerating polygenic risk scores for diseases and complex traits requires high quality GWAS summary statistic files. Often, these files can be difficult to acquire either as a result of unshared or incomplete data. To date, bioinformatics tools which focus on restoring missing columns containing identification and association data are limited, which has the potential to increase the number of usable GWAS summary statistics files.
resultsSumStatsRehab was able to restore rsID, effect/other alleles, chromosome, base pair position, effect allele frequencies, beta, standard error, and p-values to a better extent than any other currently available tool, with minimal loss.
conclusionsSumStatsRehab offers a unique tool utilizing both functional programming and pipeline-like architecture, allowing users to generate accurate data restorations for incomplete summary statistics files. This in turn, increases the number of usable GWAS summary statistics files, which may be invaluable for less researched health traits.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.