| Title: | UK BioCoin: swift trait-specific summary statistics regression for UK Biobank |
| Journal: | Nature Communications |
| Published: | 17 Apr 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41997943/ |
| DOI: | https://doi.org/10.1038/s41467-026-71788-z |
Publication 17963
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Abstract
Summary statistics derived from large-scale biobanks facilitate the sharing of genetic discoveries but are typically limited by fixed covariate adjustments, preventing the exploration of trait-specific adjustments. Here we present UK BioCoin (UKC), a computational device designed to enable efficient, user-specified covariate adjustment without requiring access to individual-level data. Using the UK Biobank (505 unique traits and 10 million SNPs) as a comprehensive demonstration, we demonstrate that UKC generates summary statistics that closely mirror those derived from individual-level data but with approximately 80 times greater computational efficiency. We further validate UKC's utility across diverse applications, including SNP-heritability estimation, polygenic score, and Mendelian randomization, and show that the framework is portable to other cohorts, as demonstrated by its application to the Westlake Biobank. Here, we show that UKC offers a privacy-preserving paradigm that facilitates flexible data sharing and collaborative research.</p>
11 Authors
- Jingcheng He
- Guoan Qi
- Jiacheng Ying
- Yu Qian
- Lin-Lin Gu
- Qi-Xin Zhang
- Lide Han
- Yingying Mao
- Hou-Feng Zheng
- Hangjin Jiang
- Guo-Bo Chen
1 Application
| Application ID | Title |
|---|---|
| 41376 | Statistical genetics methods for complex traits using large-scale genomic data |
Enabling scientific discoveries that improve human health