Multi-layered Functional Genomics Prioritizes Candidate Genes for Ankylosing Spondylitis

30 genome-wide significant loci and 64 prioritized candidate genes from a GWAS meta-analysis of 7,551 ankylosing spondylitis cases and 1,258,581 controls. The dataset, created by Fanyu Meng and last updated in June 2026, integrates results from causal transcriptome-wide association studies, fine-mapping, and in-silico perturbation analyses. It includes cross-trait genetic correlation results and functional validation data from siRNA knockdown experiments.

Use Cases

• Prioritizing candidate effector genes for ankylosing spondylitis based on GWAS meta-analysis and causal TWAS results.
• Assessing genetic correlations with related immune-mediated diseases like inflammatory bowel disease and psoriasis.
• Evaluating cohort-specific heterogeneity and sensitivity of genetic signals using leave-one-cohort-out analysis.
• Identifying potential drug targets through structured druggability assessments of prioritized genes and variants.
• Validating computational predictions with experimental follow-up data from siRNA knockdowns in Jurkat T cells.

Strengths

• Large-scale GWAS meta-analysis combining data from 7,551 cases and 1,258,581 controls across three major cohorts.
• Multi-method integration includes cTWAS, four-method fine-mapping, colocalization, and in-silico perturbation for robust gene prioritization.
• Includes experimental validation data from siRNA knockdown experiments for two prioritized genes, TBKBP1 and XCL1.

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 geographic bias inherent to the source cohorts (Million Veteran Program, FinnGen, UK Biobank).

Provenance

Source

GWAS meta-analysis of Million Veteran Program, FinnGen, and UK Biobank whole-genome sequencing cohorts.

Collection Method

Post-GWAS analysis combining calibrated association statistics, gene-level prioritization, fine-mapping, molecular prediction, and experimental follow-up.

Freshness

Last updated 2026-06-01 04:20:34