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Dataset Information

Prediction and Characterization of Genetically Regulated Expression of Target Tissues in Asthma.


ABSTRACT:

Background

Genetic control of gene expression in asthma-related tissues is not well-characterized, particularly for African-ancestry populations, limiting advancement in our understanding of the increased prevalence and severity of asthma in those populations.

Objective

To create novel transcriptome prediction models for asthma tissues (nasal epithelium and CD4+ T cells) and apply them in transcriptome-wide association study (TWAS) to discover candidate asthma genes.

Methods

We developed and validated gene expression prediction databases for unstimulated CD4+ T cells (CD4+T) and nasal epithelium using an elastic net framework. Combining these with existing prediction databases (N=51), we performed TWAS of 9,284 individuals of African-ancestry to identify tissue-specif

SUBMITTER: Slack SD 

PROVIDER: S-EPMC11838648 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature