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dc.contributor.authorOkada Y
dc.contributor.authorSim X
dc.contributor.authorGo MJ
dc.contributor.authorWu JY
dc.contributor.authorGu D
dc.contributor.authorTakeuchi F
dc.contributor.authorTakahashi A
dc.contributor.authorMaeda S
dc.contributor.authorTsunoda T
dc.contributor.authorChen P
dc.contributor.authorLim SC
dc.contributor.authorWong TY
dc.contributor.authorLiu J
dc.contributor.authorYoung TL
dc.contributor.authorAung T
dc.contributor.authorSeielstad M
dc.contributor.authorTeo YY
dc.contributor.authorKim YJ
dc.contributor.authorLee JY
dc.contributor.authorHan BG
dc.contributor.authorKang D
dc.contributor.authorChen CH
dc.contributor.authorTsai FJ
dc.contributor.authorChang LC
dc.contributor.authorFann SJ
dc.contributor.authorMei H
dc.contributor.authorRao DC
dc.contributor.authorHixson JE
dc.contributor.authorChen S
dc.contributor.authorKatsuya T
dc.contributor.authorIsono M
dc.contributor.authorOgihara T
dc.contributor.authorChambers JC
dc.contributor.authorZhang W
dc.contributor.authorKooner JS
dc.contributor.authorKidneyGen Consortium
dc.contributor.authorCKDGen Consortium
dc.contributor.authorAlbrecht E
dc.contributor.authorGUGC consortium
dc.contributor.authorYamamoto K
dc.contributor.authorKubo M
dc.contributor.authorNakamura Y
dc.contributor.authorKamatani N
dc.contributor.authorKato N
dc.contributor.authorHe J
dc.contributor.authorChen YT
dc.contributor.authorCho YS
dc.contributor.authorTai ES
dc.contributor.authorTanaka T
dc.date.accessioned2018-10-30T09:46:10Z
dc.date.available2018-10-30T09:46:10Z
dc.date.issued2012
dc.identifier.issn1061-4036
dc.identifier.urihttp://dx.doi.org/10.1038/ng.2352
dc.identifier.urihttp://hdl.handle.net/10863/6732
dc.description.abstractChronic 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.en_US
dc.language.isoenen_US
dc.rights
dc.titleMeta-analysis identifies multiple loci associated with kidney function-related traits in east Asian populationsen_US
dc.typeArticleen_US
dc.date.updated2018-10-30T08:41:39Z
dc.language.isiEN-GB
dc.journal.titleNature genetics
dc.description.fulltextnoneen_US


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