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Trajectory Inference

Definition
AI-generated

Trajectory inference (trajectory mapping) is a class of computational methods that infer a dynamic biological process from static single-cell snapshots—ordering cells along paths or trees (e.g. differentiation, activation)—often summarized with pseudotime or branch assignments.

Topics
Single-cell analysis
Synonyms
Trajectory mapping
Related
Principal Component Analysis (PCA) Pseudotime SCANPY

Why it matters in GWAS

It defines continuous or branched cell states used in context-specific and dynamic eQTL models, linking genetic effects to progression through a process rather than only discrete types.

Example usage

"Trajectory inference placed cells along a neuronal differentiation path, then we tested genotype × pseudotime interactions."

Principal Component Analysis (PCA) Pseudotime SCANPY Single-Cell Expression Quantitative Trait Locus (sc-eQTL) Single-Cell Sequencing UMAP
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

  • Cuomo ASE, Nathan A, Raychaudhuri S, et al. (2023). Single-cell genomics meets human genetics. Nat Rev Genet. https://doi.org/10.1038/s41576-023-00599-5
  • Griffiths JA, Scialdone A, Marioni JC. (2018). Using single-cell genomics to understand developmental processes and cell fate decisions. Mol Syst Biol.
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