ArticleNature communications2021
Modeling regulatory network topology improves genome-wide analyses of complex human traits.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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
19 citing papers in PubMed, 39 citations in OpenAlex.
- Protein-protein interaction network architecture of human polygenic traits reveals domain-spanning connectivity and evolutionary pressures.Genome biology · 2026Article
- Improved heritability partitioning and enrichment analyses using summary statistics with graphREML.Nature genetics · 2026Article
- Methods for Prioritizing Causal Genes in Molecular Studies of Human Disease: The State of the Art.Genetic epidemiology · 2026Review
- Transcriptional regulatory network analysis uncovers modular gene control and potential key regulators in diabetic cardiomyopathy.Frontiers in cell and developmental biology · 2026Article
- Aggregation of recount3 RNA-seq data improves inference of consensus and tissue-specific gene coexpression networks.Genome research · 2025Article
- Identification of replicative aging and inflammatory aging signatures via whole-genome CRISPRi screens.Genome biology · 2025Article
- Modeling combinatorial regulation from single-cell multi-omics provides regulatory units underpinning cell type landscape using cRegulon.Genome biology · 2025Article
- Equitable machine learning counteracts ancestral bias in precision medicine.Nature communications · 2025Article
- Integrative systems biology framework discovers common gene regulatory signatures in mechanistically distinct inflammatory skin diseases.NPJ systems biology and applications · 2025Article
- Uncovering cell-type-specific immunomodulatory variants and molecular phenotypes in COVID-19 using structurally resolved protein networks.Cell reports · 2024Article
- Improved functional mapping of complex trait heritability with GSA-MiXeR implicates biologically specific gene sets.Nature genetics · 2024Article
- Genetic effects of sequence-conserved enhancer-like elements on human complex traits.Genome biology · 2024Article
- Decoding mutational hotspots in human disease through the gene modules governing thymic regulatory T cells.Frontiers in immunology · 2024Article
- Speos: an ensemble graph representation learning framework to predict core gene candidates for complex diseases.Nature communications · 2023Article
- De novo discovery of traits co-occurring with chronic obstructive pulmonary disease.Life science alliance · 2023Article
- Article
- Genetically personalised organ-specific metabolic models in health and disease.Nature communications · 2022Article
- A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids.American journal of human genetics · 2022Article
- Leveraging cell-type-specific regulatory networks to interpret genetic variants in abdominal aortic aneurysm.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
Genome-wide association studies (GWAS) have cataloged many significant associations between genetic variants and complex traits. However, most of these findings have unclear biological significance, because they often have small effects and occur in non-coding regions. Integration of GWAS with gene regulatory networks addresses both issues by aggregating weak genetic signals within regulatory programs. Here we develop a Bayesian framework that integrates GWAS summary statistics with regulatory networks to infer genetic enrichments and associations simultaneously. Our method improves upon existing approaches by explicitly modeling network topology to assess enrichments, and by automatically leveraging enrichments to identify associations. Applying this method to 18 human traits and 38 regulatory networks shows that genetic signals of complex traits are often enriched in interconnections specific to trait-relevant cell types or tissues. Prioritizing variants within enriched networks identifies known and previously undescribed trait-associated genes revealing biological and therapeutic insights.
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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.