- Okada, Yukinori;
- Sim, Xueling;
- Go, Min Jin;
- Wu, Jer-Yuarn;
- Gu, Dongfeng;
- Takeuchi, Fumihiko;
- Takahashi, Atsushi;
- Maeda, Shiro;
- Tsunoda, Tatsuhiko;
- Chen, Peng;
- Lim, Su-Chi;
- Wong, Tien-Yin;
- Liu, Jianjun;
- Young, Terri L;
- Aung, Tin;
- Seielstad, Mark;
- Teo, Yik-Ying;
- Kim, Young Jin;
- Lee, Jong-Young;
- Han, Bok-Ghee;
- Kang, Daehee;
- Chen, Chien-Hsiun;
- Tsai, Fuu-Jen;
- Chang, Li-Ching;
- Fann, S-J Cathy;
- Mei, Hao;
- Rao, Dabeeru C;
- Hixson, James E;
- Chen, Shufeng;
- Katsuya, Tomohiro;
- Isono, Masato;
- Ogihara, Toshio;
- Chambers, John C;
- Zhang, Weihua;
- Kooner, Jaspal S;
- Albrecht, Eva;
- Yamamoto, Kazuhiko;
- Kubo, Michiaki;
- Nakamura, Yusuke;
- Kamatani, Naoyuki;
- Kato, Norihiro;
- He, Jiang;
- Chen, Yuan-Tsong;
- Cho, Yoon Shin;
- Tai, E-Shyong;
- Tanaka, Toshihiro
Chronic kidney disease (CKD), impairment of kidney function, is a serious public health problem, and the assessment of genetic factors influencing kidney function has substantial clinical relevance. Here, we report a meta-analysis of genome-wide association studies for kidney function-related traits, including 71,149 east Asian individuals from 18 studies in 11 population-, hospital- or family-based cohorts, conducted as part of the Asian Genetic Epidemiology Network (AGEN). Our meta-analysis identified 17 loci newly associated with kidney function-related traits, including the concentrations of blood urea nitrogen, uric acid and serum creatinine and estimated glomerular filtration rate based on serum creatinine levels (eGFRcrea) (P < 5.0 × 10(-8)). We further examined these loci with in silico replication in individuals of European ancestry from the KidneyGen, CKDGen and GUGC consortia, including a combined total of ∼110,347 individuals. We identify pleiotropic associations among these loci with kidney function-related traits and risk of CKD. These findings provide new insights into the genetics of kidney function.