rs10079250 (CSF1R): GWAS Variant Research

Key takeaways

• rs10079250 is a genetic variant in the CSF1R gene region that has been included in large-scale UK Biobank genome-wide association research.
• The available study analyzed approximately 405,000 UK Biobank individuals across 79 quantitative and 50 binary disease traits using a GWAS method called Quickdraws.
• No specific effect sizes, p-values, or trait associations for rs10079250 are reported in the provided study text.
• The GWAS method applied uses a spike-and-slab Bayesian prior on variant effects, a model designed to detect more associations than the standard Gaussian-prior approaches used by tools like REGENIE and FastGWA.
• No lifestyle, drug response, or tissue expression data for this variant is available from the provided study.

What the research says The sole study available for this entry describes Quickdraws, a mixed-model genome-wide association method applied to 13.3 million variants in 405,088 UK Biobank individuals, analyzing 79 quantitative and 50 binary disease traits. Quickdraws uses a spike-and-slab Bayesian prior on variant effects rather than the Gaussian prior assumed by more computationally tractable tools, and identified 4.97% more associations for quantitative traits and 3.25% more for binary traits than REGENIE in the same UK Biobank dataset. The provided study text does not include variant-specific association results, effect sizes, or p-values for rs10079250 or the CSF1R locus.

Reported associations

• No trait-specific associations reported: The available study (Loya, Kalantzis, Cooper, and Palamara, Nature Genetics, 2025) is a methods paper describing the Quickdraws algorithm and does not contain variant-level association results for rs10079250. The study demonstrates that Quickdraws detects more GWAS hits than competing methods in the UK Biobank across 129 traits, but the specific variants and traits underlying those gains are not detailed in the provided text.

Evidence quality The one available study is a methods paper published in Nature Genetics in 2025 by Loya, Kalantzis, Cooper, and Palamara, with a large UK Biobank sample of approximately 405,088 individuals. No PMID was included in the provided study metadata. While the sample size is substantial and the journal is high-impact, no p-values, odds ratios, beta coefficients, or other effect size estimates for rs10079250 are available from the provided text. Replication data from Biobank Japan and FinnGen are mentioned for the aggregate Quickdraws findings, but no replication information specific to this variant is provided. The evidence for specific phenotypic associations with rs10079250 cannot be evaluated from the current source material, and this entry should be considered incomplete pending studies that specifically report on this variant.

Lifestyle considerations No lifestyle considerations on file for this variant.