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Dataset Information

Network Analysis Reveals Protein Modules Associated with Childhood Respiratory Diseases.


ABSTRACT:

Background

The first year of life is a period of rapid immune development that can impact health trajectories and the risk of developing respiratory-related diseases, such as asthma, recurrent infections, and eczema. However, the biology underlying subsequent disease development remains unknown.

Methods

Using weighted gene correlation network analysis (WGCNA), we derived modules of highly correlated immune-related proteins in plasma samples from children at age 1 year (N=294) from the Vitamin D Antenatal Asthma Reduction Trial (VDAART). We applied regression analyses to assess relationships between protein modules and development of childhood respiratory diseases up to age 6 years. We then characterized genomic, environmental, and metabolomic factors associated with modules.

SUBMITTER: Prince N 

PROVIDER: S-EPMC11212915 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature