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

Institut für Klinische Molekularbiologie der Christian-Albrechts-Universität zu Kiel

Authors:
Yukinori Okada, Xueling Sim, Min Jin Go, Jer-Yuarn Wu, Dongfeng Gu, Fumihiko Takeuchi, Atsushi 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, Dabeeru C Rao, James E Hixson, Shufeng Chen, Tomohiro Katsuya, Masato Isono, Toshio Ogihara, John C Chambers, Weihua 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
Year of publication:
2012
Volume:
44
Issue:
8
Issn:
1061-4036
Journal title abbreviated:
NAT GENET
Journal title long:
Nature genetics
Impact factor:
41.376
Pubmed:
PubMed (PMID: 22797727)
Abstract:
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.