Three-Regime Post-Mortem Network Dynamics Across 19 GTEx V8 Tissues: Convergence, Divergence, and Biological Predictors

We identify three stable post-mortem transcriptome network regimes across 19 GTEx V8 tissues (N=14,697 samples): robust convergence in brain, skeletal muscle, heart, and pancreas; robust divergence in colon and breast; and network neutrality in eleven tissues. Results are validated with FDR correction, bootstrap CI, and five systematic robustness controls. Independent replication in GSE80655 (N=278). Biological meta-analysis identifies cellularity and basal metabolic rate as primary predictors of convergence. All code available at kaggle.com/igormerlinicomposer.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-30
DOI
https://doi.org/10.5281/zenodo.21064068
Primary Topic
Genetic Associations and Epidemiology
Type
preprint
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preprint

Three-Regime Post-Mortem Network Dynamics Across 19 GTEx V8 Tissues: Convergence, Divergence, and Biological Predictors

Igor Merlini
Zenodo (CERN European Organization for Nuclear Research)
Genetic Associations and Epidemiology
preprint

Three-Regime Post-Mortem Network Dynamics Across 19 GTEx V8 Tissues: Convergence, Divergence, and Biological Predictors

Igor Merlini
preprint en

Abstract

We identify three stable post-mortem transcriptome network regimes across 19 GTEx V8 tissues (N=14,697 samples): robust convergence in brain, skeletal muscle, heart, and pancreas; robust divergence in colon and breast; and network neutrality in eleven tissues. Results are validated with FDR correction, bootstrap CI, and five systematic robustness controls. Independent replication in GSE80655 (N=278). Biological meta-analysis identifies cellularity and basal metabolic rate as primary predictors of convergence. All code available at kaggle.com/igormerlinicomposer.

Zenodo (CERN European Organization for Nuclear Research)
XLAB (Slovenia) (SI), Radiotelevisione Italiana (Italy) (IT)
Genetic Associations and Epidemiology
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