1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function
暂无分享,去创建一个
Audrey Y. Chu | C. Gieger | M. Waldenberger | O. Franco | A. Hofman | A. Uitterlinden | E. Mihailov | F. Hu | T. Lehtimäki | E. Boerwinkle | Z. Kutalik | K. Strauch | P. Ridker | D. Chasman | V. Gudnason | J. Viikari | H. Völzke | P. Mitchell | I. Borecki | Albert Vernon Smith | M. Imboden | N. Probst-Hensch | Stefan Enroth | O. Raitakari | A. Dehghan | A. Köttgen | Qiong Yang | Shih-Jen Hwang | F. Rivadeneira | J. Coresh | C. Fox | T. Meitinger | K. Lohman | Yongmei Liu | R. Scott | A. Metspalu | T. Esko | H. Snieder | D. Ruderfer | C. Meisinger | I. Heid | T. Harris | M. Swertz | J. Lambert | R. Schmidt | H. Schmidt | R. Biffar | G. Homuth | A. Teumer | U. Völker | G. Curhan | O. Gottesman | E. Bottinger | J. Attia | G. Eiriksdottir | E. Holliday | M. Kähönen | L. Launer | P. Vollenweider | T. Aspelund | V. Chouraki | M. Feitosa | I. Nolte | A. Robino | B. Tayo | P. J. van der Most | Jingzhong Ding | P. Gasparini | A. Oldehinkel | R. Loos | Ashish Kumar | Man Li | M. Cornelis | Å. Johansson | L. Lyytikäinen | M. Bochud | U. Gyllensten | P. Pramstaller | G. Navis | C. Fuchsberger | M. Nauck | R. Rettig | Ming-Huei Chen | C. Huth | A. Chu | Yingchang Lu | C. Böger | M. Cocca | G. Girotto | M. Gorski | G. Tromp | S. Ulivi | M. McEvoy | B. Stengel | M. Metzger | E. Hofer | B. Krämer | C. Pattaro | Matthias Olden | D. Toniolo | Felicia Gomez | G. Pistis | D. Taliun | Yong Li | A. Tin | S. Sedaghat | K. Endlich | H. Kramer | M. D. de Borst | S. Stracke | A. d'Adamo | C. Sala | Simon Höllerer | M. Ciullo | D. Ruggiero | R. Sorice | C. Helmer | D. Vuckovic | N. Hutri-Kähönen | S. Rosas | Vladan Mijatovic | Stephen J Hancock | Y. Saba | A. d’Adamo | Peter J. van der Most | W. König | Laura Dengler | Brenda Wjh Penninx | Jie Jin Wang | A. Smith | M. Olden | A. Smith | M. Kähönen | J. Coresh | Mathias Gorski | A. Uitterlinden | Sheila Ulivi | A. Hofman | R. Loos | R. Scott | L. Dengler | F. Hu | R. Schmidt | R. Scott | R. Schmidt | Daniel Taliun | R. Scott
[1] Xiaofeng Zhu,et al. The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals , 2016, Nature Genetics.
[2] Tom R. Gaunt,et al. LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis , 2016, bioRxiv.
[3] Aihua Li,et al. Developmental Origins for Kidney Disease Due to Shroom3 Deficiency. , 2016, Journal of the American Society of Nephrology : JASN.
[4] Tom R. Gaunt,et al. Edinburgh Research Explorer Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function , 2022 .
[5] Yara T. E. Lechanteur,et al. Nature Genetics Advance Online Publication , 2022 .
[6] Gabor T. Marth,et al. A global reference for human genetic variation , 2015, Nature.
[7] H. Snieder,et al. Representativeness of the LifeLines Cohort Study , 2015, PloS one.
[8] J. Danesh,et al. A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease , 2016 .
[9] P. Visscher,et al. Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index , 2015, Nature Genetics.
[10] C. Wijmenga,et al. Cohort Profile Cohort Profile : LifeLines , a three-generation cohort study and biobank , 2015 .
[11] Christian Gieger,et al. Discovery and Fine-Mapping of Glycaemic and Obesity-Related Trait Loci Using High-Density Imputation , 2015, PLoS genetics.
[12] Gonçalo R. Abecasis,et al. Minimac2: Faster Genotype Imputation , 2015, Bioinform..
[13] C. Wijmenga,et al. Gene expression analysis identifies global gene dosage sensitivity in cancer , 2015, Nature Genetics.
[14] J. Hirschhorn,et al. Biological interpretation of genome-wide association studies using predicted gene functions , 2015, Nature Communications.
[15] N. C. Yeo,et al. Shroom3 contributes to the maintenance of the glomerular filtration barrier integrity , 2015, Genome research.
[16] P. Bauer,et al. PIK3R1 mutations in SHORT syndrome , 2014, Clinical genetics.
[17] Z. Kutalik,et al. Common variants in UMOD associate with urinary uromodulin levels: a meta-analysis. , 2014, Journal of the American Society of Nephrology : JASN.
[18] Kari Stefansson,et al. Rare mutations associating with serum creatinine and chronic kidney disease. , 2014, Human molecular genetics.
[19] John P. Overington,et al. An atlas of genetic influences on human blood metabolites , 2014, Nature Genetics.
[20] Eric Boerwinkle,et al. Genetic Determinants Influencing Human Serum Metabolome among African Americans , 2014, PLoS genetics.
[21] L. Almasy,et al. Generalization of associations of kidney-related genetic loci to American Indians. , 2014, Clinical journal of the American Society of Nephrology : CJASN.
[22] Judith A. Blake,et al. The Mouse Genome Database: integration of and access to knowledge about the laboratory mouse , 2013, Nucleic Acids Res..
[23] M. Peters,et al. Systematic identification of trans eQTLs as putative drivers of known disease associations , 2013, Nature Genetics.
[24] Matteo Trudu,et al. Common noncoding UMOD gene variants induce salt-sensitive hypertension and kidney damage by increasing uromodulin expression , 2013, Nature Medicine.
[25] Kai-Uwe Eckardt,et al. Evolving importance of kidney disease: from subspecialty to global health burden , 2013, The Lancet.
[26] Luigi Ferrucci,et al. Imputation of Variants from the 1000 Genomes Project Modestly Improves Known Associations and Can Identify Low-frequency Variant - Phenotype Associations Undetected by HapMap Based Imputation , 2013, PloS one.
[27] M. V. van Dijk,et al. SLC22A2 is associated with tubular creatinine secretion and bias of estimated GFR in renal transplantation. , 2013, Physiological genomics.
[28] Sylvia Stracke,et al. Integration of genome-wide association studies with biological knowledge identifies six novel genes related to kidney function. , 2012, Human molecular genetics.
[29] Kenny Q. Ye,et al. An integrated map of genetic variation from 1,092 human genomes , 2012, Nature.
[30] Eurie L. Hong,et al. Annotation of functional variation in personal genomes using RegulomeDB , 2012, Genome research.
[31] J. Marchini,et al. Fast and accurate genotype imputation in genome-wide association studies through pre-phasing , 2012, Nature Genetics.
[32] P. Visscher,et al. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits , 2012, Nature Genetics.
[33] J. Wells,et al. Body mass index is directly associated with biomarkers of angiogenesis and inflammation in children and adolescents. , 2012, Nutrition.
[34] Sylvia Stracke,et al. Genome-Wide Association and Functional Follow-Up Reveals New Loci for Kidney Function , 2012, PLoS genetics.
[35] Christian Fuchsberger,et al. GWAtoolbox: an R package for fast quality control and handling of genome-wide association studies meta-analysis data , 2012, Bioinform..
[36] P. Visscher,et al. Five years of GWAS discovery. , 2012, American journal of human genetics.
[37] Susumu Goto,et al. KEGG for integration and interpretation of large-scale molecular data sets , 2011, Nucleic Acids Res..
[38] O. Franco,et al. The Rotterdam Study: 2012 objectives and design update , 2011, European Journal of Epidemiology.
[39] M. Nalls,et al. Genetic Association for Renal Traits among Participants of African Ancestry Reveals New Loci for Renal Function , 2011, PLoS genetics.
[40] Neil Powe,et al. Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD , 2011, PLoS genetics.
[41] Iris M. Heid,et al. Chronic Kidney Disease: Novel Insights from Genome-Wide Association Studies , 2011, Kidney and Blood Pressure Research.
[42] Xiaofeng Zhu,et al. Genetic Background of Patients from a University Medical Center in Manhattan: Implications for Personalized Medicine , 2011, PloS one.
[43] W. Rathmann,et al. Cohort profile: the study of health in Pomerania. , 2011, International journal of epidemiology.
[44] A. Leutenegger,et al. Genetics of VEGF Serum Variation in Human Isolated Populations of Cilento: Importance of VEGF Polymorphisms , 2011, PloS one.
[45] F. Hu,et al. Association of dietary patterns with albuminuria and kidney function decline in older white women: a subgroup analysis from the Nurses' Health Study. , 2011, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[46] E. C. Park,et al. Role of Tbx2 in defining the territory of the pronephric nephron , 2011, Development.
[47] S. Bione,et al. Association of a variant in the CHRNA5-A3-B4 gene cluster region to heavy smoking in the Italian population , 2011, European Journal of Human Genetics.
[48] Lincoln Stein,et al. Reactome: a database of reactions, pathways and biological processes , 2010, Nucleic Acids Res..
[49] G. Curhan,et al. Associations of sugar and artificially sweetened soda with albuminuria and kidney function decline in women. , 2011, Clinical journal of the American Society of Nephrology : CJASN.
[50] J. Duke,et al. Cohort profile: The Hunter Community Study. , 2010, International journal of epidemiology.
[51] G. Abecasis,et al. MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes , 2010, Genetic epidemiology.
[52] B. Stephan,et al. Angiogenesis and biomarkers of cardiovascular risk in adults with metabolic syndrome , 2010, Journal of internal medicine.
[53] Sharon R Grossman,et al. Integrating common and rare genetic variation in diverse human populations , 2010, Nature.
[54] Christian Gieger,et al. Genome-Wide Association Studies of Serum Magnesium, Potassium, and Sodium Concentrations Identify Six Loci Influencing Serum Magnesium Levels , 2010, PLoS genetics.
[55] Yun Li,et al. METAL: fast and efficient meta-analysis of genomewide association scans , 2010, Bioinform..
[56] J. Marchini,et al. Genotype imputation for genome-wide association studies , 2010, Nature Reviews Genetics.
[57] Peter Kraft,et al. Genetic variants at 2q24 are associated with susceptibility to type 2 diabetes. , 2010, Human molecular genetics.
[58] Uwe Völker,et al. New loci associated with kidney function and chronic kidney disease , 2010, Nature Genetics.
[59] Mark N. Wass,et al. Genetic loci influencing kidney function and chronic kidney disease , 2010, Nature Genetics.
[60] C. Meisinger,et al. Effect of Chronic Kidney Disease and Comorbid Conditions on Health Care Costs: A 10-Year Observational Study in a General Population , 2009, American Journal of Nephrology.
[61] Ronald R. Ferrucci,et al. Comparing population structure as inferred from genealogical versus genetic information , 2009, European Journal of Human Genetics.
[62] Enrico Petretto,et al. Heritability and Demographic Analyses in the Large Isolated Population of Val Borbera Suggest Advantages in Mapping Complex Traits Genes , 2009, PloS one.
[63] B. Hendry,et al. Rho isoforms have distinct and specific functions in the process of epithelial to mesenchymal transition in renal proximal tubular cells. , 2009, Cellular signalling.
[64] P. Bosco,et al. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease , 2009, Nature Genetics.
[65] Thomas Meitinger,et al. Genome-wide linkage analysis of serum creatinine in three isolated European populations. , 2009, Kidney international.
[66] Yurii S. Aulchenko,et al. Multiple loci associated with indices of renal function and chronic kidney disease , 2009, Nature Genetics.
[67] R. Mägi,et al. Genetic Structure of Europeans: A View from the North–East , 2009, PloS one.
[68] Monique M. B. Breteler,et al. The Rotterdam Study: 2016 objectives and design update , 2015, European Journal of Epidemiology.
[69] Frank C Verhulst,et al. Cohort profile: the Dutch 'TRacking Adolescents' Individual Lives' Survey'; TRAILS. , 2008, International journal of epidemiology.
[70] P. Gasparini,et al. Variation in the Bitter‐taste Receptor Gene TAS2R38, and Adiposity in a Genetically Isolated Population in Southern Italy , 2008, Obesity.
[71] S. Bione,et al. Variation of hemoglobin levels in normal Italian populations from genetic isolates , 2008, Haematologica.
[72] K. Akimoto,et al. Fasudil, a Rho-kinase inhibitor, reverses L-NAME exacerbated severe nephrosclerosis in spontaneously hypertensive rats , 2008, Journal of hypertension.
[73] Vincent Mooser,et al. The CoLaus study: a population-based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndrome , 2008, BMC cardiovascular disorders.
[74] D. Hall. Measurement Error in Nonlinear Models: A Modern Perspective , 2008 .
[75] C. Schmid,et al. Estimating GFR using serum cystatin C alone and in combination with serum creatinine: a pooled analysis of 3,418 individuals with CKD. , 2008, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[76] V. Colonna,et al. Identification and Replication of a Novel Obesity Locus on Chromosome 1q24 in Isolated Populations of Cilento , 2008, Diabetes.
[77] N. Cook,et al. Rationale, design, and methodology of the Women's Genome Health Study: a genome-wide association study of more than 25,000 initially healthy american women. , 2008, Clinical chemistry.
[78] Ronald P. Stolk,et al. Universal risk factors for multifactorial diseases-LifeLines : a three-generation population-based study , 2008 .
[79] G. Capasso,et al. Metabonomics and population studies: age-related amino acids excretion and inferring networks through the study of urine samples in two Italian isolated populations , 2008, Amino Acids.
[80] A. Hofman,et al. The Rotterdam Study: objectives and design update , 2007, European Journal of Epidemiology.
[81] M. Devoto,et al. Estimates of Genetic and Environmental Contribution to 43 Quantitative Traits Support Sharing of a Homogeneous Environment in an Isolated Population from South Tyrol, Italy , 2007, Human Heredity.
[82] Manuel A. R. Ferreira,et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.
[83] P. Donnelly,et al. A new multipoint method for genome-wide association studies by imputation of genotypes , 2007, Nature Genetics.
[84] D. Cox,et al. Evaluation of the SNP tagging approach in an independent population sample—array-based SNP discovery in Sami , 2007, Human Genetics.
[85] Qiong Yang,et al. The Third Generation Cohort of the National Heart, Lung, and Blood Institute's Framingham Heart Study: design, recruitment, and initial examination. , 2007, American journal of epidemiology.
[86] V. Gudnason,et al. Age, Gene/Environment Susceptibility-Reykjavik Study: multidisciplinary applied phenomics. , 2007, American journal of epidemiology.
[87] G. Antoniol,et al. Campora: A Young Genetic Isolate in South Italy , 2007, Human Heredity.
[88] Pall I. Olason,et al. A human phenome-interactome network of protein complexes implicated in genetic disorders , 2007, Nature Biotechnology.
[89] Delbert Dueck,et al. Clustering by Passing Messages Between Data Points , 2007, Science.
[90] Thomas Meitinger,et al. The genetic study of three population microisolates in South Tyrol (MICROS): study design and epidemiological perspectives , 2007, BMC Medical Genetics.
[91] D. Reich,et al. Population Structure and Eigenanalysis , 2006, PLoS genetics.
[92] Tom Greene,et al. Using Standardized Serum Creatinine Values in the Modification of Diet in Renal Disease Study Equation for Estimating Glomerular Filtration Rate , 2006, Annals of Internal Medicine.
[93] C. Böger,et al. Effect of ACE and AT-2 inhibitors on mortality and progression to microalbuminuria in a nested case-control study of diabetic nephropathy in diabetes mellitus type 2: results from the GENDIAN study. , 2006, International journal of clinical pharmacology and therapeutics.
[94] Raymond J. Carroll,et al. Measurement error in nonlinear models: a modern perspective , 2006 .
[95] Céline Bellenguez,et al. New susceptibility locus for hypertension on chromosome 8q by efficient pedigree-breaking in an Italian isolate. , 2006, Human molecular genetics.
[96] P. Mitchell,et al. Low hemoglobin, chronic kidney disease, and risk for coronary heart disease-related death: the Blue Mountains Eye Study. , 2005, Journal of the American Society of Nephrology : JASN.
[97] C. Gieger,et al. KORA-gen - Resource for Population Genetics, Controls and a Broad Spectrum of Disease Phenotypes , 2005 .
[98] Graham A. Colditz,et al. The Nurses' Health Study: lifestyle and health among women , 2005, Nature Reviews Cancer.
[99] P. Pavlidis,et al. A Mendelian locus on chromosome 16 determines susceptibility to doxorubicin nephropathy in the mouse. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[100] U. John,et al. Study of Health in Pomerania (SHIP): A health examination survey in an east German region: Objectives and design , 2005, Sozial- und Präventivmedizin.
[101] J. Conboy,et al. Putative tumor suppressor protein 4.1B is differentially expressed in kidney and brain via alternative promoters and 5' alternative splicing. , 2004, Biochimica et biophysica acta.
[102] D. Levy,et al. Genomewide linkage analysis to serum creatinine, GFR, and creatinine clearance in a community-based population: the Framingham Heart Study. , 2004, Journal of the American Society of Nephrology : JASN.
[103] Daniel Levy,et al. Predictors of new-onset kidney disease in a community-based population. , 2004, JAMA.
[104] A. Hofman,et al. Determinants of disease and disability in the elderly: The Rotterdam elderly study , 1991, European Journal of Epidemiology.
[105] Å. Johansson,et al. Linkage disequilibrium between microsatellite markers in the Swedish Sami relative to a worldwide selection of populations , 2004, Human Genetics.
[106] R. Holman,et al. Vascular Factors and Risk of Dementia: Design of the Three-City Study and Baseline Characteristics of the Study Population , 2003, Neuroepidemiology.
[107] D. Altman,et al. Measuring inconsistency in meta-analyses , 2003, BMJ : British Medical Journal.
[108] R. Kronmal,et al. Multi-Ethnic Study of Atherosclerosis: objectives and design. , 2002, American journal of epidemiology.
[109] Tom Greene,et al. Calibration and random variation of the serum creatinine assay as critical elements of using equations to estimate glomerular filtration rate. , 2002, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[110] G A Colditz,et al. Physical activity and television watching in relation to risk for type 2 diabetes mellitus in men. , 2001, Archives of internal medicine.
[111] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[112] K. Roeder,et al. Genomic Control for Association Studies , 1999, Biometrics.
[113] A. Levey,et al. A More Accurate Method To Estimate Glomerular Filtration Rate from Serum Creatinine: A New Prediction Equation , 1999, Annals of Internal Medicine.
[114] D C Rao,et al. NHLBI Family Heart Study: objectives and design. , 1996, American journal of epidemiology.
[115] P. Mitchell,et al. Visual acuity and the causes of visual loss in Australia. The Blue Mountains Eye Study. , 1996, Ophthalmology.
[116] J. J. Wang,et al. Prevalence of age-related maculopathy in Australia. The Blue Mountains Eye Study. , 1995, Ophthalmology.
[117] F. Fazekas,et al. Assessment of cerebrovascular risk profiles in healthy persons: definition of research goals and the Austrian Stroke Prevention Study (ASPS). , 1994, Neuroepidemiology.
[118] J. Manson,et al. Physical activity and incidence of non-insulin-dependent diabetes mellitus in women , 1991, The Lancet.
[119] E. Rimm,et al. Prospective study of alcohol consumption and risk of coronary disease in men , 1991, The Lancet.
[120] A. Folsom,et al. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators. , 1989, American journal of epidemiology.
[121] W. Kannel,et al. An investigation of coronary heart disease in families. The Framingham offspring study. , 1979, American journal of epidemiology.
[122] W. Kannel,et al. The Framingham Offspring Study. Design and preliminary data. , 1975, Preventive medicine.
[123] M R Thompson,et al. Hydrodynamic structure of bovine serum albumin determined by transient electric birefringence. , 1975, Biophysical journal.
[124] A. Berger. FUNDAMENTALS OF BIOSTATISTICS , 1969 .