ArticleAmerican journal of human genetics2025
Exploring the omnigenic architecture of selected complex traits.
Article in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Identification of novel reproducible combinatorial genetic risk factors for myalgic encephalomyelitis in the DecodeME patient cohort and commonalities with long COVID.Journal of translational medicine · 2026Article
- The interaction of biological network topology and mutation effects in complex trait evolution.Frontiers in systems biology · 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
Genome-wide association studies (GWASs) have statistically identified thousands of loci influencing a trait of interest. To explain the organizational principles among the functionally often unrelated encoded proteins, the omnigenic model postulates core genes with direct and peripheral genes with indirect effects on molecular trait etiology. However, both core genes and the network paths by which they are influenced are unknown for most traits. Using our previously developed Speos framework to identify core genes, we here focus on the autoimmune disease ulcerative colitis (UC) to explore the regulatory relationships between core and peripheral genes and their organization in multi-modal molecular networks. The identified core genes are characterized by tissue-specific expression and trait-relevant network connections. Using genome-scale perturbation data, we demonstrate that one-third of overexpression or knockdown perturbations impact core genes differently than peripheral genes, a pattern that is not observed for GWAS or random genes. This coordinated perturbation response by core genes was robust across traits and cell lines, despite differing causal perturbagens, suggesting a universal core-gene property. Intriguingly, co-perturbation simulations suggest frequent genetic interactions between core genes, highlighting the role of non-additive interactions previously not considered in the omnigenic model. Thus, physiologically relevant core-gene sets occupy a central position in the underlying molecular network, resulting in genome-wide coordinated regulation. As previous theoretical studies have shown that coordinated regulation of core genes could explain much of the missing heritability, our qualitative observation can provide a foundation for detailed quantitative analyses.
Indexed as
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.