rs118075982 (NID2): UK Biobank GWAS Variant

Key takeaways

• rs118075982 is a genetic variant near the NID2 gene analyzed in a large UK Biobank genetic study
• The study applied the Quickdraws method, a machine learning approach that finds more genetic associations than older tools
• Approximately 405,000 UK Biobank participants were included, with 79 quantitative and 50 disease traits analyzed
• Quickdraws identified 4.97% more quantitative trait associations and 3.25% more disease trait associations compared to the REGENIE method in the same dataset
• Specific trait associations and effect sizes for rs118075982 are not reported in the available study text

What the research says A large-scale genome-wide association study (GWAS) analyzed 13.3 million genetic variants across approximately 405,088 UK Biobank participants, examining 79 quantitative traits and 50 disease traits using the Quickdraws method. Quickdraws uses a spike-and-slab prior on variant effects combined with stochastic variational inference, a machine learning technique that estimates the probability distribution of genetic effects across the genome, achieving higher statistical power than previous methods such as REGENIE, FastGWA, and SAIGE. Results were replicated in Biobank Japan and FinnGen cohorts, supporting the methodological robustness of the overall approach, though specific variant-level findings for rs118075982 at the NID2 locus are not described in the available study text.

Reported associations

• NID2 gene region: rs118075982 is located at or near the NID2 gene; this variant was included in the UK Biobank GWAS covering 13.3 million variants across 405,088 participants and 79 quantitative plus 50 disease traits, but specific trait associations and effect sizes for this individual variant are not reported in the available study text.

Evidence quality The Quickdraws study analyzed approximately 405,088 UK Biobank participants across 13.3 million genetic variants, with findings replicated in Biobank Japan and FinnGen, representing a large and well-powered cohort. Quickdraws was benchmarked as identifying 22.71% more quantitative associations and 7.07% more disease associations than FastGWA, at computational costs comparable to REGENIE and FastGWA. However, specific p-values, effect sizes, and trait associations for rs118075982 are not detailed in the available text, meaning evidence quality for this particular variant cannot be directly assessed from the provided source.

Lifestyle considerations No lifestyle considerations on file for this variant.