Trait-Age Interaction Effects on UK Biobank Participant Return Probability

This dataset evaluates the relationship between trait-age interaction effects and the probability of UK Biobank participants returning for repeat clinic assessments. It is an 11.9 KB XLSX file with an unknown number of rows and columns. The data was authored by Genevieve M. Leyden and is licensed under CC BY 4.0.

Use Cases

• Analyze Interaction Odds Ratio to quantify how trait-age interactions affect participant return probability.
• Investigate the relationship between Blood Pressure Traits and participant return rates across different Year Age Strata.
• Examine the role of Genetic Associations, such as those from BMI Discovery SNPs, in predicting participant follow-up behavior.
• Model the probability of return using identified variables like Adverse Cardiovascular Outcomes as potential predictors.

Strengths

• Dataset is openly licensed under CC BY 4.0, facilitating reuse and sharing.
• File size is precisely 11.9 KB, indicating a focused and manageable scope.
• Data was last updated on March 20, 2026, suggesting recent curation.

Limitations

• The dataset is very small at 11.9 KB, limiting its scope and statistical power for complex analyses.
• Key structural details like the number of rows and columns are unknown, hindering preliminary assessment of its utility.

Provenance

Source

figshare, authored by Genevieve M. Leyden.

Collection Method

Analysis likely derived from UK Biobank participant assessment data.

Freshness

Last updated on 2026-03-20.

Geography

United Kingdom (UK Biobank participants).