Center for Data Sciences, Harvard Medical School, Boston, MA, USA.
Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Nat Genet. 2020 Dec;52(12):1346-1354. doi: 10.1038/s41588-020-00740-8. Epub 2020 Nov 30.
Poor trans-ancestry portability of polygenic risk scores is a consequence of Eurocentric genetic studies and limited knowledge of shared causal variants. Leveraging regulatory annotations may improve portability by prioritizing functional over tagging variants. We constructed a resource of 707 cell-type-specific IMPACT regulatory annotations by aggregating 5,345 epigenetic datasets to predict binding patterns of 142 transcription factors across 245 cell types. We then partitioned the common SNP heritability of 111 genome-wide association study summary statistics of European (average n ≈ 189,000) and East Asian (average n ≈ 157,000) origin. IMPACT annotations captured consistent SNP heritability between populations, suggesting prioritization of shared functional variants. Variant prioritization using IMPACT resulted in increased trans-ancestry portability of polygenic risk scores from Europeans to East Asians across all 21 phenotypes analyzed (49.9% mean relative increase in R). Our study identifies a crucial role for functional annotations such as IMPACT to improve the trans-ancestry portability of genetic data.
多基因风险评分在跨种族间的可转移性较差,这是由于以欧洲为中心的遗传研究和对共同因果变异有限的了解所致。利用调控注释可以通过优先考虑功能而非标记变体来提高可转移性。我们通过聚合 5345 个表观遗传数据集,构建了一个包含 707 种细胞类型特异性 IMPACT 调控注释的资源,以预测 142 个转录因子在 245 种细胞类型中的结合模式。然后,我们将 111 个全基因组关联研究汇总统计数据的常见 SNP 遗传率(欧洲平均 n≈189000,东亚平均 n≈157000)进行分区。IMPACT 注释在人群之间捕获了一致的 SNP 遗传率,表明优先考虑共享的功能变体。使用 IMPACT 进行变体优先级排序,可提高从欧洲到东亚的多基因风险评分的跨种族可转移性,所有分析的 21 种表型的平均相对 R 值增加了 49.9%。我们的研究确定了功能注释(如 IMPACT)在提高遗传数据的跨种族可转移性方面的关键作用。