rs118035768 (NID2): UK Biobank GWAS Variant

Key takeaways

  • rs118035768 sits at the NID2 (Nidogen-2) locus and was analyzed in a UK Biobank genome-wide scan of 405,000 participants
  • The study covered 79 quantitative and 50 binary traits across 13.3 million genetic variants
  • Specific trait associations for this variant are not detailed in the available study material
  • The analysis used Quickdraws, a method that detects 4.97% more quantitative-trait and 3.25% more binary-trait associations than REGENIE

Key takeaways

  • rs118035768 is a genetic variant at the NID2 gene locus, analyzed in the context of a large-scale UK Biobank genome-wide association scan of approximately 405,000 participants
  • The associated analysis covered 13.3 million genetic variants across 79 quantitative and 50 binary traits
  • The available study text does not report specific trait associations, p-values, or effect sizes for this locus
  • The study introduced Quickdraws, a method that detects 4.97% more quantitative-trait associations and 3.25% more binary-trait associations than the widely used REGENIE benchmark

What the research says A genome-wide association study published in Nature Genetics (2025) applied a scalable mixed-model method called Quickdraws to approximately 405,088 UK Biobank participants, analyzing 13.3 million variants across 79 quantitative and 50 binary traits. The paper is primarily a methods study and the provided excerpt does not enumerate specific association results, p-values, or effect sizes for this locus. Across all analyzed traits, Quickdraws identified 4.97% more quantitative-trait associations and 3.25% more binary-trait associations than REGENIE, with replication gains confirmed in Biobank Japan and FinnGen.

Reported associations

  • UK Biobank phenome-wide scan (79 quantitative, 50 binary traits, ~405,000 participants): This locus falls within a comprehensive genome-wide scan of 13.3 million variants; specific association results for rs118035768 are not enumerated in the available study text.

Evidence quality The only study provided for this entry is a methods paper introducing Quickdraws for scalable genome-wide association analysis. Although the underlying UK Biobank cohort (~405,000 participants, 13.3 million variants) is large and well-powered, the provided text does not include locus-specific statistics, p-values, beta coefficients, or replication data for this variant. No conflicting findings are described because no specific findings for this locus appear in the available study excerpt. The paper reports that Quickdraws' aggregate improvements in association rates replicated in Biobank Japan and FinnGen, but these gains cannot be attributed specifically to this locus from the available material.

Lifestyle considerations No lifestyle considerations on file for this variant.

Frequently asked questions

What is rs118035768?

rs118035768 is a genetic variant at the NID2 gene locus. It falls within the scope of a large-scale UK Biobank genome-wide association study that analyzed approximately 405,000 participants and 13.3 million genetic variants.

What traits is rs118035768 associated with?

The available study material does not specify which traits rs118035768 is associated with. The broader genome-wide study covered 79 quantitative traits and 50 binary traits in the UK Biobank cohort.

How many people were in the study that covers the NID2 region?

The genome-wide association study analyzed approximately 405,000 UK Biobank participants across more than 13.3 million genetic variants and 129 total traits.

What is the NID2 gene?

NID2 is the gene at the rs118035768 locus. The study material provided for this entry is a methods paper and does not describe the biological function of NID2.

What is Quickdraws and how does it relate to this variant?

Quickdraws is a genome-wide association method that analyzed 405,000 UK Biobank participants and detected up to 4.97% more trait associations than the REGENIE benchmark. This study provides the analytical context in which the NID2 gene region was scanned.