Expressive

rs117386570 (LINC02916/ZNF487): GWAS Locus

Key takeaways

  • rs117386570 sits near LINC02916 (a non-coding RNA gene) and ZNF487 (a zinc finger protein gene)
  • This variant was analyzed alongside 13.3 million others in a study of over 400,000 UK Biobank participants
  • The Quickdraws method used here found nearly 5% more trait associations than the standard REGENIE GWAS tool
  • Replication of findings was assessed in both Biobank Japan and FinnGen cohorts
  • Specific trait associations and effect sizes for this variant are not available in the provided study text

Key takeaways

  • rs117386570 is a genetic variant located near LINC02916 (long intergenic non-coding RNA 02916) and ZNF487 (zinc finger protein 487)
  • This variant was among 13.3 million variants analyzed in a biobank-scale genome-wide association study (GWAS) of 405,088 UK Biobank participants
  • The study used Quickdraws, a new machine-learning GWAS method that found 4.97% more quantitative trait associations and 3.25% more binary trait associations than the widely used REGENIE method
  • Specific trait associations and effect sizes for this variant are not reported in the available study text

What the research says A 2025 GWAS applied the Quickdraws algorithm to 13.3 million variants in 405,088 UK Biobank individuals, covering 79 quantitative and 50 binary traits. Quickdraws uses a spike-and-slab statistical prior - a model that allows for both variants with no effect and variants with substantial effects, unlike simpler methods that assume all variants have small effects - together with GPU-accelerated computation to achieve higher association power without sacrificing speed. Replication signals from the UK Biobank analysis were also evaluated against Biobank Japan and FinnGen cohorts. The specific trait association, effect size, and significance value for rs117386570 in the LINC02916 - ZNF487 locus are not provided in the available study excerpt.

Reported associations

  • UK Biobank multi-trait analysis: rs117386570 was among 13.3 million variants analyzed across 79 quantitative and 50 binary traits in 405,088 UK Biobank participants; the specific trait association for this locus is not reported in the available study text

Evidence quality The GWAS that analyzed this locus included 405,088 UK Biobank individuals, a sample size sufficient to detect variants with small-to-moderate effects. The study performed cross-cohort replication comparison in Biobank Japan and FinnGen. Because the provided study text is a methods-focused excerpt and does not contain results tables, no specific p-value, effect size, or trait label for rs117386570 is available, making evidence quality for this particular variant difficult to assess directly from the provided material. The study reports overall power gains over standard tools but does not detail individual variant findings in the available text.

Lifestyle considerations No lifestyle considerations on file for this variant.

Frequently asked questions

What is rs117386570?

rs117386570 is a single nucleotide polymorphism - a position in the genome where individuals can differ by a single DNA letter - located near the LINC02916 and ZNF487 genes.

What is the LINC02916 gene?

LINC02916 stands for Long Intergenic Non-Coding RNA 02916, a class of gene that produces RNA molecules not translated into proteins. The specific biological functions of LINC02916 are not detailed in the available study.

What does ZNF487 do?

ZNF487 encodes a zinc finger protein, a diverse class of proteins that typically bind to DNA or RNA. The specific role of ZNF487 is not described in the available study text.

Was rs117386570 found in a genome-wide association study?

This variant was among 13.3 million variants analyzed in a large GWAS of 405,088 UK Biobank participants examining 79 quantitative and 50 binary traits. The specific trait association for this variant is not detailed in the available study excerpt.

How was the Quickdraws study different from standard GWAS methods?

Quickdraws uses a spike-and-slab statistical prior and GPU-accelerated computation, allowing it to detect more associations than standard tools like REGENIE or FastGWA without requiring substantially more computing resources. It found 4.97% more quantitative trait associations than REGENIE in the UK Biobank.