| Theme |
Genome medicine and novel therapeutic targets of kidney diseases |
| Title |
Identification of genetic loci associated with chronic kidney disease and applications for drug development |
| Author |
Masahiro Kanai |
Department of Statistical Genetics, Osaka University Graduate School of Medicine / Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences / Program in Bioinformatics and Integrative Genomics, Harvard Medical School |
| Author |
Yukinori Okada |
Department of Statistical Genetics, Osaka University Graduate School of Medicine / Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences / Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC) |
| [ Summary ] |
The development of high-throughput human genome sequencing technology has made large-scale human disease genome analysis possible. Genome-wide association studies have identified a number of genetic variants associated with risk of chronic kidney disease, as well as kidney function biomarkers. Bioinformatics analysis handling and associated genetic variants have been recognized as tools for novel genomic drug developments. |