Details

Autor(en) / Beteiligte

• OKADA, Yukinori
• XUELING SIM
• LIM, Su-Chi
• WONG, Tien-Yin
• JIANJUN LIU
• YOUNG, Terri L
• AUNG, Tin
• SEIELSTAD, Mark
• TEO, Yik-Ying
• YOUNG JIN KIM
• LEE, Jong-Young
• HAN, Bok-Ghee
• MIN JIN GO
• KANG, Daehee
• CHEN, Chien-Hsiun
• TSAI, Fuu-Jen
• CHANG, Li-Ching
• FANN, S-J. cathy
• HAO MEI
• RAO, Dabeeru C
• HIXSON, James E
• SHUFENG CHEN
• KATSUYA, Tomohiro
• WU, Jer-Yuarn
• ISONO, Masato
• OGIHARA, Toshio
• CHAMBERS, John C
• WEIHUA ZHANG
• KOONER, Jaspal S
• ALBRECHT, Eva
• THE GUGC CONSORTIUM
• YAMAMOTO, Kazuhiko
• KUBO, Michiaki
• NAKAMURA, Yusuke
• DONGFENG GU
• KAMATANI, Naoyuki
• KATO, Norihiro
• JIANGHE
• CHEN, Yuan-Tsong
• YOON SHIN CHO
• TAI, E-Shyong
• TANAKA, Toshihiro
• TAKEUCHI, Fumihiko
• TAKAHASHI, Atsushi
• MAEDA, Shiro
• TSUNODA, Tatsuhiko
• PENG CHEN

Titel

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

Ist Teil von

• Nature genetics, 2012-08, Vol.44 (8), p.904-909

Ort / Verlag

New York, NY: Nature Publishing Group

Erscheinungsjahr

2012

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.