EdgeMap/CITATION.cff at main · cafferychen777/EdgeMap · GitHub

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cff-version: 1.2.0
message: "If you use EdgeMap, please cite the software and the accompanying manuscript metadata below."
title: "EdgeMap"
version: "0.1.0"
license: "MIT"
repository-code: "https://github.com/cafferychen777/EdgeMap"
url: "https://github.com/cafferychen777/EdgeMap"
authors:
  - family-names: "Yang"
    given-names: "Chen"
    email: "cafferychen777@tamu.edu"
  - family-names: "Zhang"
    given-names: "Xianyang"
    email: "zhangxiany@stat.tamu.edu"
  - family-names: "Chen"
    given-names: "Jun"
    email: "Chen.Jun2@mayo.edu"
abstract: >-
  Python package for partitioning GWAS heritability into cell-intrinsic
  (node) and cell-cell communication (edge) components from spatial
  transcriptomics, with ligand-receptor pair ranking when aggregate edge
  signal is detected.
preferred-citation:
  type: article
  title: "Intercellular communication is a heritable dimension of human tissue architecture"
  authors:
    - family-names: "Yang"
      given-names: "Chen"
    - family-names: "Zhang"
      given-names: "Xianyang"
    - family-names: "Chen"
      given-names: "Jun"
  year: 2026
  journal: "bioRxiv"
  publisher: "Cold Spring Harbor Laboratory"
  doi: "10.64898/2026.03.29.715138"
  url: "https://www.biorxiv.org/content/early/2026/03/31/2026.03.29.715138"
  abstract: >-
    Methods that map genetic risk to cells identify disease-relevant tissues and
    cell types but cannot test whether genetic effects concentrate at molecular
    interfaces between cells. Here we introduce EdgeMap, which integrates spatial
    transcriptomics with GWAS summary statistics to partition trait heritability
    into cell-intrinsic and intercellular components and to resolve the
    intercellular signal into specific ligand-receptor channels. Across 17 traits
    and five human tissues, edge heritability is enriched in biologically
    coherent trait-tissue pairings (3.8-fold; P = 4.4 x 10^-6) and replicates
    across independent tissue sections, GWAS cohorts, and cell-segmented Visium
    HD. Per-pair decomposition identifies 67 trait-specific channels (FDR <
    0.10) organized into convergent pathway families - neurexin-neuroligin
    synaptic signaling in bipolar disorder, vascular adhesion in cardiovascular
    traits, and lipoprotein-clearance pathways in liver. Most edge genes are
    absent from standard gene-level prioritization, supporting intercellular
    communication as a complementary dimension of genetic architecture.