ArticlePNAS nexus2025
Genetic score omics regression and multitrait meta-analysis detect widespread
Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Multi-omics integration and artificial intelligence for the conservation and utilization of local chicken genetic resources.Poultry science · 2026Review
- Article
- Integrating extensive functional annotations and multiomics of cattle enhances climate resilience prediction and mapping.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- An integrative approach to prioritize candidate causal genes for complex traits in cattle.PLoS genetics · 2025Article
- Functional impact of splicing variants in the elaboration of complex traits in cattle.Nature communications · 2025Article
- Article
- Comparative epigenomics reveals the impact of ruminant-specific regulatory elements on complex traits.BMC biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To complete the genome-to-phenome map, transcriptome-wide association studies (TWAS) are performed to correlate genetically predicted gene expression with observed phenotypic measurements. However, the relatively small training population assayed with gene expression could limit the accuracy of TWAS. We propose genetic score omics regression (GSOR) correlating observed gene expression with genetically predicted phenotype, i.e. estimated breeding values (EBVs) in agriculture or polygenic score (PGS) in medicine. The score, calculated using variants near genes with assayed expression (
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.