The largest GWAS for kidney function so far provided the starting point for integrated multi-stage annotation of genetic loci. Whole kidney and single-cell epigenomic information is crucial for translating GWAS information to the identification of causal genes and pathogenetic (and potentially targetable) cellular and molecular mechanisms of kidney disease.

中文翻译：

---

通过表观基因组将遗传变异与肾脏疾病联系起来

迄今为止最大的肾功能 GWAS 为基因位点的集成多阶段注释提供了起点。全肾和单细胞表观基因组信息对于将 GWAS 信息转化为识别肾脏疾病的致病基因和致病（和潜在可靶向的）细胞和分子机制至关重要。