Large biobanks, such as the UK Biobank (UKB), enable massive phenome by genome-wide association studies that elucidate genetic etiology of complex traits. However, individuals from diverse genetic ancestry groups are often excluded from association analyses due to concerns about population structure introducing false positive associations. Here, we generate mixed model associations and meta-analyses across genetic ancestry groups, inclusive of a larger fraction of the UKB than previous efforts, to produce freely-available summary statistics for 7,271 traits. We build a quality control and analysis framework informed by genetic architecture. Overall, we identify 14,676 significant loci in the meta-analysis that were not found in the European genetic ancestry group alone, including novel associations for example between CAMK2D and triglycerides. We also highlight associations from ancestry-enriched variation, including a known pleiotropic missense variant in G6PD associated with several biomarker traits. We release these results publicly alongside FAQs that describe caveats for interpretation of results, enhancing available resources for interpretation of risk variants across diverse populations.

中文翻译：

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泛英国生物银行 GWAS 改进了遗传结构的发现、分析以及对祖先丰富效应的解析

英国生物库 (UKB) 等大型生物库通过全基因组关联研究实现大规模表型组研究，阐明复杂性状的遗传病因学。然而，由于担心人口结构引入假阳性关联，来自不同遗传祖先群体的个体经常被排除在关联分析之外。在这里，我们生成了跨遗传祖先群体的混合模型关联和荟萃分析，其中包含比以前更大的 UKB 部分，以生成 7,271 个性状的免费摘要统计数据。我们建立了一个以遗传结构为基础的质量控制和分析框架。总体而言，我们在荟萃分析中确定了仅在欧洲遗传血统组中未发现的 14,676 个显着位点，包括 CAMK2D 和甘油三酯之间的新关联。我们还强调了祖先丰富变异的关联，包括 G6PD 中与多种生物标志物性状相关的已知多效性错义变异。我们公开发布这些结果以及常见问题解答，其中描述了结果解释的注意事项，从而增强了解释不同人群风险变异的可用资源。