- Title
- Meta-analysis identifies multiple loci associated with kidney function-related traits in east Asian populations
- Creator
- Okada, Yukinori; Sim, Xueling; 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; Go, Min Jin; 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; Wu, Jer-Yuarn; Isono, Masato; Ogihara, Toshio; Chambers, John C.; Zhang, Weihua; Kooner, Jaspal S.; Albrecht, Eva; Yamamoto, Kazuhiko; Kubo, Michiaki; Nakamura, Yusuke; Kamatani, Naoyuki; Gu, Dongfeng; Kato, Norihiro; He, Jiang; Chen, Yuan-Tsong; Cho, Yoon Shin; Tai, E-Shyong; Tanaka, Toshihiro; Oldmeadow, C. J.; Scott, R.; Holliday, E. G.; Attia, J. R.; Takeuchi, Fumihiko; Takahashi, Atsushi; Maeda, Shiro; Tsunoda, Tatsuhiko; Chen, Peng
- Relation
- Nature Genetics Vol. 44, Issue 8, p. 904-909
- Publisher Link
- http://dx.doi.org/10.1038/ng.2352
- Publisher
- Nature Publishing Group
- Resource Type
- journal article
- Date
- 2012
- Description
- 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.
- Subject
- chronic kidney disease; Asian Genetic Epidemiology Network; public health; genetics
- Identifier
- http://hdl.handle.net/1959.13/1309415
- Identifier
- uon:21864
- Identifier
- ISSN:1061-4036
- Language
- eng
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