New loci associated with kidney function and chronic kidney disease

Caroline Fox and colleagues report results of a large genome-wide association meta-analysis and replication study for indices of renal function. Their work identifies 13 new loci associated with renal function and 7 loci associated with creatinine production and secretion. Chronic kidney disease (CK...

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Vydáno v:Nature genetics Ročník 42; číslo 5; s. 376 - 384
Hlavní autoři: Böger, Carsten A, Fuchsberger, Christian, Olden, Matthias, Glazer, Nicole L, Parsa, Afshin, Gao, Xiaoyi, Yang, Qiong, O'Connell, Jeffrey R, Li, Man, Tanaka, Toshiko, Isaacs, Aaron, Ketkar, Shamika, Dehghan, Abbas, Teumer, Alexander, Paré, Guillaume, Atkinson, Elizabeth J, Zeller, Tanja, Lohman, Kurt, Cornelis, Marilyn C, Probst-Hensch, Nicole M, Kronenberg, Florian, Tönjes, Anke, Hayward, Caroline, Aspelund, Thor, Eiriksdottir, Gudny, Rampersaud, Evadnie, Mitchell, Braxton D, Singleton, Andrew, Giallauria, Francesco, Metter, Jeffrey, de Boer, Ian H, Haritunians, Talin, Lumley, Thomas, Siscovick, David, Zillikens, M Carola, Oostra, Ben A, Feitosa, Mary, Province, Michael, de Andrade, Mariza, Turner, Stephen T, Schillert, Arne, Ziegler, Andreas, Schnabel, Renate B, Wilde, Sandra, Munzel, Thomas F, Leak, Tennille S, Klopp, Norman, Meisinger, Christa, Wichmann, H-Erich, Koenig, Wolfgang, Zgaga, Lina, Zemunik, Tatijana, Kolcic, Ivana, Hu, Frank B, Igl, Wilmar, Zaboli, Ghazal, Campbell, Harry, Ellinghaus, David, Aulchenko, Yurii S, Felix, Janine F, Rivadeneira, Fernando, Hofman, Albert, Imboden, Medea, Nitsch, Dorothea, Brandstätter, Anita, Stumvoll, Michael, Campbell, Susan, Endlich, Karlhans, Völzke, Henry, Nauck, Matthias, Völker, Uwe, Polasek, Ozren, Vitart, Veronique, Badola, Sunita, Parker, Alexander N, Ridker, Paul M, Blankenberg, Stefan, Liu, Yongmei, Curhan, Gary C, Franke, Andre, Paulweber, Bernhard, Prokopenko, Inga, Wang, Wei, Gudnason, Vilmundur, Shuldiner, Alan R, Coresh, Josef, Schmidt, Reinhold, Ferrucci, Luigi, Shlipak, Michael G, van Duijn, Cornelia M, Borecki, Ingrid, Gyllensten, Ulf, Wilson, James F, Witteman, Jacqueline C, Pramstaller, Peter P, Rettig, Rainer, Hastie, Nick, Kao, W H, Heid, Iris M, Fox, Caroline S
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Nature Publishing Group US 01.05.2010
Nature Publishing Group
Témata:
631/208/205/2138
631/208/457/649
692/699/1585/104
Agriculture
Animal Genetics and Genomics
Biological and medical sciences
Biomedical and Life Sciences
Biomedicine
Cancer Research
Cohort Studies
Creatinine - blood
Cystatin C - genetics
Demographic aspects
Diet
Economic aspects
Europe
Fundamental and applied biological sciences. Psychology
Gene Function
Gene loci
Genetic aspects
Genetic Markers - genetics
Genetic susceptibility
Genetic variation
Genetics of eukaryotes. Biological and molecular evolution
Genome-Wide Association Study
Glomerular Filtration Rate
Human Genetics
Humans
Kidney - physiology
Kidney diseases
Kidney Failure, Chronic - ethnology
Kidney Failure, Chronic - genetics
Kidneys
Medical sciences
MEDICIN
MEDICINE
Models, Genetic
Mortality
Nephrology. Urinary tract diseases
Nephropathies. Renovascular diseases. Renal failure
Population studies
Public health
Renal failure
Renal function
Risk Factors
Solute transport
Statistical methods
Urinary system involvement in other diseases. Miscellaneous
Europe
United States
Kidney disease
Urinary system disease
Urinary system
Renal failure
Chronic kidney disease
Locus
Kidney
ISSN:1061-4036, 1546-1718, 1546-1718
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Abstract Caroline Fox and colleagues report results of a large genome-wide association meta-analysis and replication study for indices of renal function. Their work identifies 13 new loci associated with renal function and 7 loci associated with creatinine production and secretion. Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 m 2 ; n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide–significant loci ( P < 5 × 10 −8 ) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9 ) and 7 loci suspected to affect creatinine production and secretion ( CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3 ). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.
AbstractList Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 m(2); n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide-significant loci (P < 5 x 10(-8)) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9) and 7 loci suspected to affect creatinine production and secretion (CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.
Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 m(2); n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide-significant loci (P < 5 x 10(-8)) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9) and 7 loci suspected to affect creatinine production and secretion (CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 m(2); n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide-significant loci (P < 5 x 10(-8)) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9) and 7 loci suspected to affect creatinine production and secretion (CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.
Caroline Fox and colleagues report results of a large genome-wide association meta-analysis and replication study for indices of renal function. Their work identifies 13 new loci associated with renal function and 7 loci associated with creatinine production and secretion. Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 m 2 ; n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide–significant loci ( P < 5 × 10 −8 ) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9 ) and 7 loci suspected to affect creatinine production and secretion ( CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3 ). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.
Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creattinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 m^sup 2^; n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide-significant loci (P < 5 × 10^sup -8^) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9) and 7 loci suspected to affect creatinine production and secretion (CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney. [PUBLICATION ABSTRACT]
Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 m super(2); n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide-significant loci (P < 5 10 super(-8)) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9) and 7 loci suspected to affect creatinine production and secretion (CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.
Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 [m.sup.2]; n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide-significant loci (P < 5 x [10.sup.-8]) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9) and 7 loci suspected to affect creatinine production and secretion (CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.
Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea &lt; 60 ml/min/1.73 m 2 ; n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide–significant loci ( P &lt; 5 × 10 −8 ) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9 ) and 7 loci suspected to affect creatinine production and secretion ( CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3 ). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.
Audience Academic
Author Atkinson, Elizabeth J
de Andrade, Mariza
Hwang, Shih-Jen
Paulweber, Bernhard
Kroemer, Heyo K
Zaboli, Ghazal
Gudnason, Vilmundur
Lohman, Kurt
Yang, Qiong
Harris, Tamara B
Zemunik, Tatijana
Rochat, Thierry
Province, Michael
Liu, Yongmei
Zgaga, Lina
Schnabel, Renate B
Rudan, Igor
Eiriksdottir, Gudny
Franke, Andre
Ellinghaus, David
Kardia, Sharon L R
Rettig, Rainer
Kovacs, Peter
Leak, Tennille S
Wilde, Sandra
Blankenberg, Stefan
Felix, Janine F
Ketkar, Shamika
Parsa, Afshin
Wilson, James F
Hayward, Caroline
Schmidt, Helena
Hu, Frank B
Mägi, Reedik
Campbell, Harry
Parker, Alexander N
Tönjes, Anke
Gyllensten, Ulf
Igl, Wilmar
de Boer, Ian H
Zeller, Tanja
Boerwinkle, Eric
Dehghan, Abbas
Probst-Hensch, Nicole M
Köttgen, Anna
Fuchsberger, Christian
Ferrucci, Luigi
Psaty, Bruce M
Kronenberg, Florian
Koenig, Wolfgang
Smith, Albert V
Launer, Lenore J
Haritunians, Talin
Schmidt, Reinhold
Badola, Sunita
Meisinger, Christa
Paré, Guillaume
Wichmann, H-Erich
Nitsch, Dorothea
Klopp, Norman
Shuldiner, Alan R
Wright, Alan F
Hastie, Nick
Polasek, Ozren
Ziegler, Andreas
B
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  organization: Department of Epidemiology, Erasmus MC, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
– sequence: 80
  givenname: Janine F
  surname: Felix
  fullname: Felix, Janine F
  organization: Department of Epidemiology, Erasmus MC, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
– sequence: 81
  givenname: Fernando
  surname: Rivadeneira
  fullname: Rivadeneira, Fernando
  organization: Department of Epidemiology, Erasmus MC, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Department of Internal Medicine, Erasmus University
– sequence: 83
  givenname: Albert
  surname: Hofman
  fullname: Hofman, Albert
  organization: Department of Epidemiology, Erasmus MC, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
– sequence: 84
  givenname: Medea
  surname: Imboden
  fullname: Imboden, Medea
  organization: Swiss Tropical and Public Health Institute, University of Basel
– sequence: 85
  givenname: Dorothea
  surname: Nitsch
  fullname: Nitsch, Dorothea
  organization: Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine
– sequence: 86
  givenname: Anita
  surname: Brandstätter
  fullname: Brandstätter, Anita
  organization: Division of Genetic Epidemiology, Innsbruck Medical University
– sequence: 90
  givenname: Michael
  surname: Stumvoll
  fullname: Stumvoll, Michael
  organization: Department of Medicine, University of Leipzig
– sequence: 93
  givenname: Susan
  surname: Campbell
  fullname: Campbell, Susan
  organization: Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, Scotland, UK
– sequence: 94
  givenname: Karlhans
  surname: Endlich
  fullname: Endlich, Karlhans
  organization: Institute of Anatomy and Cell Biology, Ernst-Moritz-Arndt University Greifswald
– sequence: 95
  givenname: Henry
  surname: Völzke
  fullname: Völzke, Henry
  organization: Institute for Community Medicine, Ernst-Moritz-Arndt University Greifswald
– sequence: 97
  givenname: Matthias
  surname: Nauck
  fullname: Nauck, Matthias
  organization: Institute of Clinical Chemistry and Laboratory Medicine, Ernst-Moritz-Arndt University Greifswald
– sequence: 98
  givenname: Uwe
  surname: Völker
  fullname: Völker, Uwe
  organization: Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt University Greifswald
– sequence: 99
  givenname: Ozren
  surname: Polasek
  fullname: Polasek, Ozren
  organization: Andrija Stampar School of Public Health, Medical School, University of Zagreb
– sequence: 100
  givenname: Veronique
  surname: Vitart
  fullname: Vitart, Veronique
  organization: Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, Scotland, UK
– sequence: 101
  givenname: Sunita
  surname: Badola
  fullname: Badola, Sunita
  organization: Amgen
– sequence: 102
  givenname: Alexander N
  surname: Parker
  fullname: Parker, Alexander N
  organization: Amgen
– sequence: 103
  givenname: Paul M
  surname: Ridker
  fullname: Ridker, Paul M
  organization: Brigham and Women's Hospital
– sequence: 105
  givenname: Stefan
  surname: Blankenberg
  fullname: Blankenberg, Stefan
  organization: Department of Medicine II, University Medical Center Mainz
– sequence: 106
  givenname: Yongmei
  surname: Liu
  fullname: Liu, Yongmei
  organization: Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University
– sequence: 107
  givenname: Gary C
  surname: Curhan
  fullname: Curhan, Gary C
  organization: Brigham and Women's Hospital, Harvard Medical School
– sequence: 108
  givenname: Andre
  surname: Franke
  fullname: Franke, Andre
  organization: Institute of Clinical Molecular Biology, Christian-Albrechts-University
– sequence: 110
  givenname: Bernhard
  surname: Paulweber
  fullname: Paulweber, Bernhard
  organization: First Department of Internal Medicine, Paracelsus Medical University
– sequence: 111
  givenname: Inga
  surname: Prokopenko
  fullname: Prokopenko, Inga
  organization: Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford
– sequence: 112
  givenname: Wei
  surname: Wang
  fullname: Wang, Wei
  organization: Croatian Centre for Global Health, University of Split Medical School, School of Public Health and Family Medicine, Capital Medical University
– sequence: 113
  givenname: Vilmundur
  surname: Gudnason
  fullname: Gudnason, Vilmundur
  organization: Icelandic Heart Association, University of Iceland
– sequence: 114
  givenname: Alan R
  surname: Shuldiner
  fullname: Shuldiner, Alan R
  organization: University of Maryland Medical School
– sequence: 115
  givenname: Josef
  surname: Coresh
  fullname: Coresh, Josef
  organization: Department of Epidemiology, Johns Hopkins University, Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University
– sequence: 116
  givenname: Reinhold
  surname: Schmidt
  fullname: Schmidt, Reinhold
  organization: Department of Neurogeriatrics, Austrian Stroke Prevention Study, University Clinic of Neurology, Medical University Graz
– sequence: 117
  givenname: Luigi
  surname: Ferrucci
  fullname: Ferrucci, Luigi
  organization: Clinical Research Branch, National Institute on Aging
– sequence: 118
  givenname: Michael G
  surname: Shlipak
  fullname: Shlipak, Michael G
  organization: General Internal Medicine, University of California, San Francisco, San Francisco, California, USA
– sequence: 119
  givenname: Cornelia M
  surname: van Duijn
  fullname: van Duijn, Cornelia M
  organization: Department of Epidemiology, Erasmus MC, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
– sequence: 120
  givenname: Ingrid
  surname: Borecki
  fullname: Borecki, Ingrid
  organization: Division of Statistical Genomics, Washington University School of Medicine
– sequence: 123
  givenname: Ulf
  surname: Gyllensten
  fullname: Gyllensten, Ulf
  organization: Department of Genetics and Pathology, Rudbeck Laboratory, Uppsala University
– sequence: 124
  givenname: James F
  surname: Wilson
  fullname: Wilson, James F
  organization: Centre for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, Scotland, UK
– sequence: 125
  givenname: Jacqueline C
  surname: Witteman
  fullname: Witteman, Jacqueline C
  organization: Department of Epidemiology, Erasmus MC, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)
– sequence: 126
  givenname: Peter P
  surname: Pramstaller
  fullname: Pramstaller, Peter P
  organization: Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Affiliated Institute of the University of Lübeck, Germany, Viale Druso
– sequence: 127
  givenname: Rainer
  surname: Rettig
  fullname: Rettig, Rainer
  organization: Institute of Physiology, Ernst-Moritz-Arndt University Greifswald
– sequence: 128
  givenname: Nick
  surname: Hastie
  fullname: Hastie, Nick
  organization: Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, Scotland, UK
– sequence: 130
  givenname: W H
  surname: Kao
  fullname: Kao, W H
  email: wkao@jhsph.edu
  organization: Department of Epidemiology, Johns Hopkins University, Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University
– sequence: 131
  givenname: Iris M
  surname: Heid
  fullname: Heid, Iris M
  email: iris.heid@klinik.uni-regensburg.de
  organization: Department of Epidemiology and Preventive Medicine, University Medical Center Regensburg, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health
– sequence: 132
  givenname: Caroline S
  surname: Fox
  fullname: Fox, Caroline S
  email: foxca@nhlbi.nih.gov
  organization: The National Heart, Lung, and Blood Institute's Framingham Heart Study, Center for Population Studies, Brigham and Women's Hospital Department of Endocrinology and Harvard Medical School
BackLink http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23092421$$DView record in Pascal Francis
https://www.ncbi.nlm.nih.gov/pubmed/20383146$$D View this record in MEDLINE/PubMed
https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-137787$$DView record from Swedish Publication Index (Uppsala universitet)
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CODEN NGENEC
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Issue 5
Keywords Kidney disease
Urinary system disease
Urinary system
Renal failure
Chronic kidney disease
Locus
Kidney
Language English
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Snippet Caroline Fox and colleagues report results of a large genome-wide association meta-analysis and replication study for indices of renal function. Their work...
Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen...
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SubjectTerms 631/208/205/2138
631/208/457/649
692/699/1585/104
Agriculture
Animal Genetics and Genomics
Biological and medical sciences
Biomedical and Life Sciences
Biomedicine
Cancer Research
Cohort Studies
Creatinine - blood
Cystatin C - genetics
Demographic aspects
Diet
Economic aspects
Europe
Fundamental and applied biological sciences. Psychology
Gene Function
Gene loci
Genetic aspects
Genetic Markers - genetics
Genetic susceptibility
Genetic variation
Genetics of eukaryotes. Biological and molecular evolution
Genome-Wide Association Study
Glomerular Filtration Rate
Human Genetics
Humans
Kidney - physiology
Kidney diseases
Kidney Failure, Chronic - ethnology
Kidney Failure, Chronic - genetics
Kidneys
Medical sciences
MEDICIN
MEDICINE
Models, Genetic
Mortality
Nephrology. Urinary tract diseases
Nephropathies. Renovascular diseases. Renal failure
Population studies
Public health
Renal failure
Renal function
Risk Factors
Solute transport
Statistical methods
Urinary system involvement in other diseases. Miscellaneous
Title New loci associated with kidney function and chronic kidney disease
URI https://link.springer.com/article/10.1038/ng.568
https://www.ncbi.nlm.nih.gov/pubmed/20383146
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Volume 42
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