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Quality control, heritability analyses, and updates to summary statistics

Rahul Gupta, on behalf of the Pan UKBB Team

We are excited to report significant updates to our summary statistics and data release:

1. We performed heritability analyses across > 16,000 ancestry-trait pairs using several approaches.
2. We developed a detailed summary statistics QC approach to prioritize the highest-quality phenotypes best suited for downstream analyses.
3. We identified a maximally independent set of phenotypes that passed our QC filters.
4. We recomputed summary statistics for traits that showed extremely significant p-values with standard errors of 0, now with non-zero standard errors and $\log p$-values to avoid numerical underflow.
5. We updated cross-ancestry meta-analyses to incorporate updated summary statistics and also computed new meta-analyses using only QC-pass ancestry-trait pairs.