...
首页> 外文期刊>Cell metabolism >Moving beyond GWAS and eQTL Analysis to Validated Hits in Chronic Kidney Disease
【24h】

Moving beyond GWAS and eQTL Analysis to Validated Hits in Chronic Kidney Disease

机译:超越GWAS和EQTL分析以验证慢性肾病验证的命中

获取原文
获取原文并翻译 | 示例
           

摘要

Genome-wide association studies (GWAS) have identified multiple chronic kidney disease (CKD)-associated single-nucleotide polymorphisms (SNPs) mainly localized to non-coding genomic regions. To understand which genes and which cell types are affected by these genetic variants, compartment-specific transcrip-tome, genome, and epigenome data were analyzed in an integrative manner in a recent study by Qiu et al. (Qiu et al., 2018).
机译:基因组 - 宽协会研究(GWAs)已经鉴定了多种慢性肾病(CKD) - 分配的单核苷酸多态性(SNP),其主要是非编码基因组区域。 为了了解这些遗传变体的基因和哪种细胞类型,在Qiu等人的最近的一项研究中以完整的方式分析舱室特异性转录物 - Tome,基因组和表观簇数据。 (Qiu等,2018)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号