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Gene Regulatory Network Inference

Definition
AI-generated

Gene regulatory network (GRN) inference reconstructs directed or undirected relationships among genes and regulators—transcription factors, signaling nodes, and targets—from single-cell or bulk expression and, increasingly, multi-omic data.

Topics
Single-cell analysis
Synonyms
GRN inference
Related
Gene Regulatory Network (GRN) Colocalization Pathway Analysis

Why it matters in GWAS

A GWAS gene may sit in a pathway; GRN context suggests upstream regulators and downstream effectors to test in functional follow-up, colocalization, or single-cell program enrichment analyses.

Example usage

"The primary methods include Gene Regulatory Network Inference as part of the association and model-comparison workflow."

Gene Regulatory Network (GRN) Colocalization Pathway Analysis Perturb-seq Single-Cell Foundation Model Single-Cell GWAS Integration Single-Cell Perturbation Genomics
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Badia-I-Mompel P, et al. (2023). Gene regulatory network inference in the era of single-cell multi-omics. Nat Rev Genet.
  • Bravo González-Blas C, et al. (2023). SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks. Nat Methods.
  • Dimitrov D, Schrod S, Rohbeck M, et al. (2026). Interpretation, extrapolation and perturbation of single cells. Nat Rev Genet. https://doi.org/10.1038/s41576-025-00920-4
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