ArticleBioinformatics advances2026
GWAIS-Web: a free and secure web service for ultra-fast and large-scale genome-wide association interaction studies.
Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
1 citing paper in PubMed.
- Opportunities and computational challenges in large-scale whole-genome sequencing data analysis.Journal of animal science · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Summary: Genome-wide association interaction studies (GWAIS) are essential for identifying non-additive genetic effects underlying complex diseases, but exhaustive screening of SNP-SNP combinations across millions of variants is computationally demanding. We present GWAIS-Web, a free, ultra-fast, privacy-compliant web service that enables genome-wide screening of pairwise or third-order interactions for large case-control GWAS datasets. GWAIS-Web combines algorithmic advances with GPU- and FPGA-accelerated implementations, achieving speedups of more than three orders of magnitude compared to established CPU-based approaches and reducing analysis runtimes from years to days. The service supports multiple widely used epistasis detection methods, including PLINK's logistic regression test and BOOST, and provides practical options such as LD-based SNP filtering, region-specific analyses and the simultaneous execution of multiple methods within a single run. Availability and implementation: GWAIS-Web is freely available at https://hybridcomputing.ikmb.uni-kiel.de. Source code for the stand-alone CPU/GPU implementation and the FPGA extension is provided at https://github.com/ikmb/hybridgwais and https://github.com/ikmb/hybridgwais-fpga.
Identifiers
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.