Department of Statistics, University of Oxford, Oxford, UK.
Harvard Medical School, Harvard University, Boston, MA, USA.
Nat Genet. 2024 Sep;56(9):1800-1803. doi: 10.1038/s41588-024-01868-7. Epub 2024 Aug 12.
We built a reference panel with 342 million autosomal variants using 78,195 individuals from the Genomics England (GEL) dataset, achieving a phasing switch error rate of 0.18% for European samples and imputation quality of r = 0.75 for variants with minor allele frequencies as low as 2 × 10 in white British samples. The GEL-imputed UK Biobank genome-wide association analysis identified 70% of associations found by direct exome sequencing (P < 2.18 × 10), while extending testing of rare variants to the entire genome. Coding variants dominated the rare-variant genome-wide association results, implying less disruptive effects of rare non-coding variants.
我们使用来自英国生物库(UK Biobank)的 78195 名个体,构建了一个包含 3.42 亿个常染色体变异的参考面板,其欧洲样本的相位切换错误率为 0.18%,在英国白人样本中,最小等位基因频率低至 2×10 的变异的估计质量 r 为 0.75。GEL 基因组全关联分析确定了直接外显子测序发现的关联的 70%(P < 2.18×10),同时将稀有变异的测试扩展到整个基因组。编码变异主导了罕见变异的全基因组关联结果,这意味着罕见非编码变异的破坏性影响较小。