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Meta-analysis identifies multiple loci associated with kidney function–related traits in east Asian populations

2012; Nature Portfolio; Volume: 44; Issue: 8 Linguagem: Inglês

10.1038/ng.2352

1546-1718

Yukinori Okada, Xueling Sim, Min Jin Go, Jer‐Yuarn Wu, Dongfeng Gu, Fumihiko Takeuchi, Meiko Takahashi, Shiro Maeda, Tatsuhiko Tsunoda, Peng Chen, Su-Chi Lim, Tien Yin Wong, Jianjun Liu, Terri L. Young, Tin Aung, Mark Seielstad, Yik-Ying Teo, Young‐Jin Kim, Jong‐Young Lee, Bok-Ghee Han, Daehee Kang, Chien‐Hsiun Chen, Fuu‐Jen Tsai, Li-Ching Chang, S-J Cathy Fann, Hao Mei, D. C. Rao, James E. Hixson, Shufeng Chen, Tomohiro Katsuya, Masato Isono, Toshio Ogihara, John C. Chambers, Wei Zhang, Jaspal S. Kooner, Eva Albrecht, Kazuhiko Yamamoto, Michiaki Kubo, Yusuke Nakamura, Naoyuki Kamatani, Norihiro Kato, Jiang He, Yuan-Tsong Chen, Yoon Shin Cho, E Shyong Tai, Toshihiro Tanaka,

Folate and B Vitamins Research

Yukinori Okada and colleagues report a meta-analysis of genome-wide association studies for kidney function–related traits in 71,149 individuals from east Asia. They identify 17 loci newly associated with the concentrations of blood urea nitrogen, serum creatinine and uric acid, and with glomerular filtration rate (eGFRcrea), several of which are also associated with chronic kidney disease. 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.