PIA

PIA prioritizes drug targets for adult-onset and childhood-onset asthma by integrating genome-wide association studies (GWAS) and network-driven analyses to identify shared and subtype-specific therapeutic targets.


Key Features:

  • Genetics-Led Approach: Uses genome-wide association studies (GWAS) data to characterize the genetic architectures specific to adult-onset and childhood-onset asthma.
  • Network-Driven Prioritization: Integrates network analysis to identify genes and pathways involved in asthma pathogenesis across age-defined subtypes.
  • Shared and Distinct Target Identification: Distinguishes drug targets that are shared by both subtypes from those that are specific to adult-onset or childhood-onset asthma.
  • Pathway Crosstalk Analysis: Identifies crosstalk genes in signaling pathways, noting shared crosstalk gene enrichment in JAK-STAT and childhood-onset-specific enrichment in PI3K-AKT-mTOR.
  • Clinical Relevance and Drug Repurposing: Highlights genes already targeted by existing licensed medications to nominate potential drug repurposing candidates, with emphasis on childhood-onset asthma.

Scientific Applications:

  • Therapeutic target discovery: Identifies and prioritizes candidate drug targets aligned with genetic and molecular features of adult- and childhood-onset asthma.
  • Drug repurposing prioritization: Guides selection of existing licensed medications for repurposing based on shared or subtype-specific targets.
  • Subtype-specific mechanism elucidation: Informs comparative analysis of pathway involvement (for example, JAK-STAT versus PI3K-AKT-mTOR) between asthma subtypes.

Methodology:

Uses GWAS data to define subtype-specific genetic architectures; integrates network analysis to prioritize genes and pathways; performs pathway crosstalk analysis to identify crosstalk genes; maps genes to existing licensed drug targets to highlight repurposing candidates.

Topics

Details

Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
2/23/2024
Last Updated:
11/24/2024

Operations

Publications

Bao C, Gu L, Wang S, Zou K, Zhang Z, Jiang L, Chen L, Fang H. Priority index for asthma (PIA): In silico discovery of shared and distinct drug targets for adult- and childhood-onset disease. Computers in Biology and Medicine. 2023;162:107095. doi:10.1016/j.compbiomed.2023.107095. PMID:37285660.

PMID: 37285660
Funding: - National Natural Science Foundation of China: 32170663

Links