Systems biology-based approaches to summarize and identify novel genes and pathways associated with acute and chronic postsurgical pain.

ABSTRACT:

Study objective

To employ systems biology-based machine learning to identify biologic processes over-represented with genetic variants (gene enrichment) implicated in post-surgical pain.

Design

Informed systems biology based integrative computational analyses.

Setting

Pediatric research and teaching institution.

Interventions

Pubmed search (01/01/2001-10/31/2017) was performed to identify "training" genes associated with postoperative pain in humans. Candidate genes were identified and prioritized using Toppgene suite, based on functional enrichment using several gene ontology annotations, and curated gene sets associated with mouse phenotype-knockout studies.

Measurements

Computationally top-ranked candidate genes and literature-curated genes were inclu

SUBMITTER: Chidambaran V 

PROVIDER: S-EPMC7276001 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature