rs117341751 (REXO2-NXPE2P1): UK Biobank GWAS

Key takeaways

  • rs117341751 is a genetic variant located in the REXO2 - NXPE2P1 genomic region.
  • It was identified through a genome-wide scan of approximately 405,000 UK Biobank participants.
  • The scan used a method called Quickdraws, which found more associations than previous standard tools, with results replicated in Biobank Japan and FinnGen.
  • Specific trait associations for this variant are not reported in the available source text, and findings should be considered preliminary.

Key takeaways

  • rs117341751 is a genetic variant in the REXO2 - NXPE2P1 genomic region, identified through large-scale UK Biobank analysis.
  • The association was detected using Quickdraws, a statistical method applied to 405,088 individuals across 79 quantitative and 50 binary traits.
  • The specific trait linked to this variant is not described in the available study text; the finding should be considered preliminary based on available source material.
  • The study detected 4.97% more quantitative trait associations and 3.25% more binary trait associations than the REGENIE method, with replication in Biobank Japan and FinnGen.

What the research says This variant was identified through genome-wide association analysis of 405,088 UK Biobank participants, examining 79 quantitative and 50 binary traits using the Quickdraws method, a Bayesian regression tool that uses a spike-and-slab prior on variant effects and stochastic variational inference. The method detected 4.97% more quantitative trait associations and 3.25% more binary trait associations than REGENIE, with replication reported in Biobank Japan and FinnGen cohorts. The specific phenotype associated with rs117341751 at this locus is not described in the available study excerpt.

Reported associations

  • REXO2 - NXPE2P1 region: rs117341751 was identified as a genome-wide association signal in a UK Biobank scan of 405,088 individuals; the specific trait this signal corresponds to is not described in the available source text.

Evidence quality The source study used a large discovery cohort of 405,088 UK Biobank participants and reported replication in independent cohorts including Biobank Japan and FinnGen, which supports broader generalizability of detected signals. The Quickdraws method that identified this variant was shown to have improved statistical power over REGENIE, FastGWA, and BOLT-LMM in both quantitative and binary trait analyses. However, no effect size, p-value, or specific trait association is reported for rs117341751 in the available study text, and no PMID is available for the source study in the provided metadata. Evidence for this specific variant must therefore be considered incomplete based on available source material.

Lifestyle considerations No lifestyle considerations on file for this variant.

Frequently asked questions

What is rs117341751?

rs117341751 is a single nucleotide polymorphism - a one-letter difference in the DNA code - located near the REXO2 and NXPE2P1 genes. It was identified as a genome-wide association signal in a large UK Biobank study of 405,088 participants.

What does rs117341751 affect?

The specific trait or condition linked to rs117341751 is not described in detail in the available source material. It was identified as part of a broad scan of 79 quantitative and 50 binary traits in 405,088 UK Biobank participants.

What gene is rs117341751 near?

This variant is located in the REXO2 - NXPE2P1 genomic region, near the REXO2 and NXPE2P1 genes.

How reliable is the rs117341751 finding?

The study used a large cohort of 405,088 UK Biobank participants with the Quickdraws method, and signals were replicated in Biobank Japan and FinnGen. However, effect sizes and p-values specific to rs117341751 are not available in the provided source text, so the finding should be considered preliminary.

What is the Quickdraws method used to find rs117341751?

Quickdraws is a genome-wide association method that uses Bayesian statistical modeling with a spike-and-slab prior and graphics processing unit acceleration to identify genetic associations with greater power than previous standard tools, while remaining computationally efficient for large biobank-scale datasets.