ArticleGenome biology2022
sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies.
Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Flimma: a federated and privacy-aware tool for differential gene expression analysis.Genome biology · 2021Pooled it
- FedEdgeR: federated and privacy-preserving edgeR for differential gene expression analysis.bioRxiv : the preprint server for biology · 2026Article
- dsLassoCov: a federated Lasso approach incorporating covariate control.Scientific reports · 2026Article
- Federated learning for the pathogenicity annotation of genetic variants in multi-site clinical settings.Bioinformatics (Oxford, England) · 2025Article
- A one-shot, lossless algorithm for cross-cohort learning in mixed-outcomes analysis.Patterns (New York, N.Y.) · 2025Article
- Secure and federated genome-wide association studies for biobank-scale datasets.Nature genetics · 2025Article
- gLinDA: A privacy-preserving, swarm learning toolbox for differential abundance analysis of microbiomes.Computational and structural biotechnology journal · 2025Article
- Revolutionizing healthcare data analytics with federated learning: A comprehensive survey of applications, systems, and future directions.Computational and structural biotechnology journal · 2025Review
- Federated privacy-protected meta- and mega-omics data analysis in multi-center studies with a fully open-source analytic platform.PLoS computational biology · 2024Article
- AI in microbiome-related healthcare.Microbial biotechnology · 2024Review
- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- Genomic privacy preservation in genome-wide association studies: taxonomy, limitations, challenges, and vision.Briefings in bioinformatics · 2024Review
- FedGMMAT: Federated generalized linear mixed model association tests.PLoS computational biology · 2024Article
- Article
- Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes Project.Frontiers in big data · 2024Article
- Ensuring Trust in Genomics Research.... IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications : (TPS-ISA ...). IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications · 2023Article
- Privacy-preserving federated genome-wide association studies via dynamic sampling.Bioinformatics (Oxford, England) · 2023Article
- COLLAGENE enables privacy-aware federated and collaborative genomic data analysis.Genome biology · 2023Article
- Sharing Data With Shared Benefits: Artificial Intelligence Perspective.Journal of medical Internet research · 2023Article
- The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach.Journal of medical Internet research · 2023Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Meta-analysis has been established as an effective approach to combining summary statistics of several genome-wide association studies (GWAS). However, the accuracy of meta-analysis can be attenuated in the presence of cross-study heterogeneity. We present sPLINK, a hybrid federated and user-friendly tool, which performs privacy-aware GWAS on distributed datasets while preserving the accuracy of the results. sPLINK is robust against heterogeneous distributions of data across cohorts while meta-analysis considerably loses accuracy in such scenarios. sPLINK achieves practical runtime and acceptable network usage for chi-square and linear/logistic regression tests. sPLINK is available at https://exbio.wzw.tum.de/splink .
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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.