SynthesisBioinformatics (Oxford, England)2020
Metasubtract: an R-package to analytically produce leave-one-out meta-analysis GWAS summary statistics.
Synthesis in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.
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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
44 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Risk of stroke in patients with congenital heart disease: a systematic review and meta-analysis.BMC neurology · 2024Pooled it
- Canadian COVID-19 host genetics cohort replicates known severity associations.PLoS genetics · 2024Pooled it
- Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study.Diabetologia · 2022Pooled it
- Bidirectional causal associations between Sjögren syndrome and gastrointestinal disorders: A two-sample Mendelian randomization study.Medicine · 2026Article
- Investigating the impact of early adversity on perceived support from parents and friends in preadolescence: Do genetic predispositions and timing of exposure matter?JCPP advances · 2026Article
- A Shared Genetic Basis Underlying Myopia-Exotropia Comorbidity.Investigative ophthalmology & visual science · 2026Article
- Associations Between Serum Uric Acid Levels and Glaucoma: Results From the LifeLines Cohort and UK Biobank.Investigative ophthalmology & visual science · 2026Article
- Dissecting the polygenic architecture of psychopathology via singular value decomposition of eight psychiatric genome-wide association studies and evaluation of component-based polygenic scores.General psychiatry · 2026Article
- Evidence of increased risk of five psychiatric disorders due to antidepressants.European archives of psychiatry and clinical neuroscience · 2026Article
- Triglycerides play a crucial role in the pathway from depression to cardiomyopathy: A mediation Mendelian randomization study.Medicine · 2026Article
- Genetically Proxied Biological Aging and Risk of Hypertrophic Scar/Keloid-Coded Phenotypes: An Exploratory Two-Sample Mendelian Randomization Study.Clinical, cosmetic and investigational dermatology · 2026Article
- Association Between Chronic Kidney Disease and Glaucoma: Results From the Lifelines Cohort Study and UK Biobank.Investigative ophthalmology & visual science · 2025Article
- Brisk Walking Pace Offsets Venous Thromboembolism Risk Equivalent to Established Monogenic Mutations.Thrombosis and haemostasis · 2025Article
- Polygenic risk-based prediction of heart failure in young patients with atrial fibrillation: an analysis from UK Biobank.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025Article
- The causal relationship between enlarged perivascular spaces and intracerebral hemorrhage: A 2-sample Mendelian randomization study.Medicine · 2025Article
- Cross ethnic Mendelian randomization analysis reveals causal relationship between air pollution and risk of kidney stones.Scientific reports · 2025Article
- Polygenic score analysis identifies distinct genetic risk profiles in Alzheimer's disease comorbidities.Scientific reports · 2025Article
- Addressing overfitting bias due to sample overlap in polygenic risk scoring.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Genetically predicted benign prostate hyperplasia causally affects prostate cancer: a two-sample Mendelian randomization.Translational andrology and urology · 2025Article
- The causal relationship between obstructive sleep apnea and rheumatic disease: A bidirectional Mendelian randomization study.Rheumatology and immunology research · 2025Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summarystatistics from a meta-analysis of genome-wide association studies (meta-GWAS) can be used for many follow-up analyses. One valuable application is the creation of polygenic scores. However, if polygenic scores are calculated in a validation cohort that was part of the meta-GWAS consortium, this cohort is not independent and analyses will therefore yield inflated results. The R package 'MetaSubtract' was developed to subtract the results of the validation cohort from meta-GWAS summary statistics analytically. The statistical formulas for a meta-analysis were inverted to compute corrected summary statistics of a meta-GWAS leaving one (or more) cohort(s) out. These formulas have been implemented in MetaSubtract for different meta-analyses methods (fixed effects inverse variance or square root sample size weighted z-score) accounting for no, single or double genomic control correction. Results obtained by MetaSubtract correlate very well to those calculated using the traditional way, i.e. by performing a meta-analysis leaving out the validation cohort. In conclusion, MetaSubtract allows researchers to compute meta-GWAS summary statistics that are independent of the GWAS results of the validation cohort without requiring access to the cohort level GWAS results of the corresponding meta-GWAS consortium. AVAILABILITY AND IMPLEMENTATION: https://cran.r-project.org/web/packages/MetaSubtract. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.