Plasma Multi-Omics and GWAS Data for Diffuse Large B-Cell Lymphoma Therapeutic Targets

A 2026 study by Xu Sun identifies potential therapeutic targets for diffuse large B-cell lymphoma (DLBCL). The analysis uses a two-step training and validation approach involving mendelian randomization of eQTL and pQTL data from a large genome-wide association study, with further verification via colocalization, single-cell analysis, and ex-vivo experiments. The dataset, shared under a CC-BY-4.0 license, includes results identifying 16 genes and 5 plasma proteins as potential targets.

Use Cases

• Identifying novel druggable genes for DLBCL based on mendelian randomization results from eQTL and pQTL analyses.
• Validating potential therapeutic targets through colocalization analysis of shared causal genetic variants.
• Investigating cell type-specific expression of candidate targets like TUBB using single-cell analysis data.
• Assessing the anti-DLBCL efficacy of candidate targets via ex-vivo experimental and transcriptomic data.

Strengths

• Analysis leverages a large-scale genome-wide association study with a training cohort of 456,948 participants and a validation cohort of 288,927 participants.
• Multi-faceted verification includes colocalization, risk factor analysis, single-cell analysis, and ex-vivo experiments.
• The dataset is associated with a specific research output identifying 16 genes and 5 plasma proteins as potential therapeutic targets.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical tasks.
• The dataset is relatively small at 3.2 MB, suggesting it may contain summary results rather than raw multi-omics data.

Provenance

Source

figshare

Collection Method

Mendelian randomization analyses of expression quantitative trait loci (eQTL) and protein quantitative trait loci (pQTL) from genome-wide association studies, with subsequent experimental verification.

Freshness

Last updated 2026-04-30 05:25:01; freshness should be verified.