Integrative Genomic and Multi-Omics Analyses for Tinnitus, 1.2 MB

A multi-omics dataset from figshare integrates GWAS meta-analysis with DNA methylation, gene expression, and protein QTLs for 1,844 oxidative stress-related genes to investigate tinnitus. The research, authored by Jingjie Han and last updated in April 2026, identifies candidate genes like ACADVL and explores druggable targets via molecular docking.

Use Cases

• Prioritizing candidate genes for tinnitus based on integrated genomic and multi-omics evidence described in the study.
• Investigating oxidative stress-mediated immune and metabolic pathways in tinnitus, as highlighted by the analysis of ACADVL.
• Exploring drug repurposing candidates like fenretinide through molecular docking analyses mentioned in the results.

Strengths

• Integrates data from GWAS meta-analysis, DNA methylation, gene expression, and protein QTLs for a focused set of 1,844 genes.
• Includes experimental validation from human peripheral blood plasma, as mentioned in the methods.
• Released under a permissive CC-BY-4.0 license, facilitating reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific genomic and cohort studies integrated from figshare.

Provenance

Source

figshare, authored by Jingjie Han.

Collection Method

Integrated genomic and multi-omics analyses, including SMR, colocalization, and validation in independent cohorts.

Time Range

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Freshness

Last updated 2026-04-28 04:24:49; freshness should be verified.

Geography

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