ArticleGenome biology2019
Scaling computational genomics to millions of individuals with GPUs.
Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 213 papers, 2 of them syntheses that pooled it.
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
213 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Integrative genetic and liver transcriptomic analyses identify TRIB1AL as a target for steatotic liver disease.The Journal of clinical endocrinology and metabolism · 2026Pooled it
- Integrative genomic analyses identify candidate causal genes for calcific aortic valve stenosis involving tissue-specific regulation.Nature communications · 2024Pooled it
- Long-term Survival and Molecular Biomarker Evaluation of a Phase II Cetuximab and Nivolumab Clinical Trial in Recurrent/Metastatic Head and Neck Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Trial
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- Integration of cell-specific gene expression and chromatin accessibility facilitates localization of neurodegenerative risk in microglia.bioRxiv : the preprint server for biology · 2026Article
- Point mutations and complex variants impact gene expression and addiction-related behaviors in Heterogeneous Stock rats.bioRxiv : the preprint server for biology · 2026Article
- Scalable context-dependent single-cell eQTL mapping reveals disease-relevant regulatory variation beyond static models.medRxiv : the preprint server for health sciences · 2026Article
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- Mapping genetic regulation of gene expression to cellular contexts identifies long non-coding RNAs associated with brain disorders.Nature communications · 2026Article
- Body-weight variation as a potential indirect indicator of abdominal fat weight with relevance to laying rate in 90-week-old laying hens.Poultry science · 2026Article
- Diet-responsive proteogenomic effects following short-term restriction of animal products in humans.Nature communications · 2026Article
- Genetic drivers of protein changes over time: Findings, considerations, and approaches in TOPMed cohorts and UK Biobank.bioRxiv : the preprint server for biology · 2026Article
- DetectGxT: detecting gene-by-treatment interactions on molecular count phenotypes accounting for allelic additivity.bioRxiv : the preprint server for biology · 2026Article
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- Detection of quantitative trait loci and genetic correlations of lipid reserves and production traits in aging laying hens.Poultry science · 2026Article
- HPRC2: A human pangenome reference with near-complete coverage of common genetic variation.bioRxiv : the preprint server for biology · 2026Article
- Genomic, Transcriptomic, and Regulomic Analyses Do Not Support Profound Autism as a Distinct Biological Category.bioRxiv : the preprint server for biology · 2026Article
- Atlas of glomerular disease-specific genetic effects on blood transcriptome.medRxiv : the preprint server for health sciences · 2026Article
- Integrating single-cell sQTL mapping with deep-learning splicing prediction identifies causal variants under influenza infection.Genome biology · 2026Article
153 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Current genomics methods are designed to handle tens to thousands of samples but will need to scale to millions to match the pace of data and hypothesis generation in biomedical science. Here, we show that high efficiency at low cost can be achieved by leveraging general-purpose libraries for computing using graphics processing units (GPUs), such as PyTorch and TensorFlow. We demonstrate > 200-fold decreases in runtime and ~ 5-10-fold reductions in cost relative to CPUs. We anticipate that the accessibility of these libraries will lead to a widespread adoption of GPUs in computational genomics.
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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.