Expressive

rs117071621 (FKBP1A-NSFL1C): UK Biobank GWAS

Key takeaways

  • rs117071621 is a genetic variant located in the FKBP1A-NSFL1C genomic region.
  • It was detected in a large-scale UK Biobank genome-wide association study of 405,088 participants analyzing approximately 13.3 million variants.
  • The specific trait this variant is associated with is not described in the available study text.
  • The Quickdraws algorithm used in this study identified more associations than older GWAS tools, suggesting this finding may not have been captured by previous analyses.
  • Evidence for any specific trait association with this variant should be treated as preliminary.

Key takeaways

  • rs117071621 is a genetic variant located in the FKBP1A-NSFL1C genomic region.
  • It was detected in a large-scale UK Biobank genome-wide association study of 405,088 participants analyzing approximately 13.3 million variants.
  • The specific trait this variant is associated with is not described in the available study text.
  • The Quickdraws algorithm used in this study identified more associations than older GWAS tools, suggesting this finding may not have been captured by previous analyses.
  • Evidence for any specific trait association with this variant should be treated as preliminary.

What the research says rs117071621, in the FKBP1A-NSFL1C genomic region, was identified as a genome-wide association signal in an analysis of approximately 405,088 UK Biobank participants covering 13.3 million variants across 79 quantitative (measurable, continuous) traits and 50 binary (yes/no disease) conditions. The locus was detected using Quickdraws, an algorithm that employs a spike-and-slab prior (a statistical model that assumes only a small fraction of variants carry large effects, rather than spreading effects evenly across all variants) trained via stochastic variational inference (a computationally efficient optimization technique), and that identified 4.97% more associations than REGENIE and 22.71% more than FastGWA for quantitative traits in the same dataset. Replication of findings from the broader study was sought in Biobank Japan and FinnGen cohorts; however, the specific trait association, effect size, and p-value (a measure of how unlikely the signal is by chance) for this particular variant are not present in the available study text.

Reported associations

  • Trait association: No specific trait association for this variant is described in the available study text; it was identified as a GWAS signal within a study covering 79 quantitative and 50 binary traits across UK Biobank participants.

Evidence quality The study was conducted in approximately 405,088 UK Biobank participants, a large and well-characterized research cohort. The Quickdraws algorithm was benchmarked against four widely used GWAS methods (REGENIE, FastGWA, BOLT-LMM, and SAIGE), demonstrating improved detection power at comparable computational cost. Replication of findings was sought in Biobank Japan and FinnGen. However, no variant-specific p-value, odds ratio, effect size, or replication status for this locus is present in the available study text. Evidence for any specific phenotypic association should therefore be considered preliminary.

Lifestyle considerations No lifestyle considerations on file for this variant.

Frequently asked questions

What is rs117071621?

rs117071621 is a single nucleotide polymorphism (a position in the genome where people can carry different DNA letters) located in the FKBP1A-NSFL1C genomic region. It was detected in a large UK Biobank genome-wide association study of over 400,000 participants.

What genes are near rs117071621?

rs117071621 is located in the genomic region of the FKBP1A and NSFL1C genes.

What trait or disease is rs117071621 linked to?

The specific trait or disease association for rs117071621 is not described in the available study text. It was identified through a large-scale analysis covering both measurable traits and disease conditions in the UK Biobank.

How was rs117071621 discovered?

It was identified using the Quickdraws algorithm, an advanced statistical method applied to 405,088 UK Biobank participants across approximately 13.3 million genetic variants. Quickdraws found more associations than older tools such as REGENIE and FastGWA, meaning some of its hits may not have appeared in earlier studies.

How reliable is the evidence for rs117071621?

The study used a large sample and sought replication in additional cohorts including Biobank Japan and FinnGen. However, variant-specific statistics such as the p-value and effect size for rs117071621 are not available in the provided study text, so the evidence should be considered preliminary.