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Gonzalez-Fernandez E, Fan L, Wang S, Liu Y, Gao W, Thomas KN, Fan F, Roman RJ. The adducin saga: pleiotropic genomic targets for precision medicine in human hypertension-vascular, renal, and cognitive diseases. Physiol Genomics 2022; 54:58-70. [PMID: 34859687 PMCID: PMC8799388 DOI: 10.1152/physiolgenomics.00119.2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/23/2021] [Accepted: 11/29/2021] [Indexed: 02/03/2023] Open
Abstract
Hypertension is a leading risk factor for stroke, heart disease, chronic kidney disease, vascular cognitive impairment, and Alzheimer's disease. Previous genetic studies have nominated hundreds of genes linked to hypertension, and renal and cognitive diseases. Some have been advanced as candidate genes by showing that they can alter blood pressure or renal and cerebral vascular function in knockout animals; however, final validation of the causal variants and underlying mechanisms has remained elusive. This review chronicles 40 years of work, from the initial identification of adducin (ADD) as an ACTIN-binding protein suggested to increase blood pressure in Milan hypertensive rats, to the discovery of a mutation in ADD1 as a candidate gene for hypertension in rats that were subsequently linked to hypertension in man. More recently, a recessive K572Q mutation in ADD3 was identified in Fawn-Hooded Hypertensive (FHH) and Milan Normotensive (MNS) rats that develop renal disease, which is absent in resistant strains. ADD3 dimerizes with ADD1 to form functional ADD protein. The mutation in ADD3 disrupts a critical ACTIN-binding site necessary for its interactions with actin and spectrin to regulate the cytoskeleton. Studies using Add3 KO and transgenic strains, as well as a genetic complementation study in FHH and MNS rats, confirmed that the K572Q mutation in ADD3 plays a causal role in altering the myogenic response and autoregulation of renal and cerebral blood flow, resulting in increased susceptibility to hypertension-induced renal disease and cerebral vascular and cognitive dysfunction.
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Affiliation(s)
- Ezekiel Gonzalez-Fernandez
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Letao Fan
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Shaoxun Wang
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Yedan Liu
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Wenjun Gao
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Kirby N Thomas
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Fan Fan
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Richard J Roman
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
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2
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Animal models of diabetic microvascular complications: Relevance to clinical features. Biomed Pharmacother 2021; 145:112305. [PMID: 34872802 DOI: 10.1016/j.biopha.2021.112305] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 09/29/2021] [Accepted: 10/05/2021] [Indexed: 02/06/2023] Open
Abstract
Diabetes has become more common in recent years worldwide, and this growth is projected to continue in the future. The primary concern with diabetes is developing various complications, which significantly contribute to the disease's mortality and morbidity. Over time, the condition progresses from the pre-diabetic to the diabetic stage and then to the development of complications. Years and enormous resources are required to evaluate pharmacological interventions to prevent or delay the progression of disease or complications in humans. Appropriate screening models are required to gain a better understanding of both pathogenesis and potential therapeutic agents. Different species of animals are used to evaluate the pharmacological potentials and study the pathogenesis of the disease. Animal models are essential for research because they represent most of the structural, functional, and biochemical characteristics of human diseases. An ideal screening model should mimic the pathogenesis of the disease with identifiable characteristics. A thorough understanding of animal models is required for the experimental design to select an appropriate model. Each animal model has certain advantages and limitations. The present manuscript describes the animal models and their diagnostic characteristics to evaluate microvascular diabetic complications.
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Shang N, Khan A, Polubriaginof F, Zanoni F, Mehl K, Fasel D, Drawz PE, Carrol RJ, Denny JC, Hathcock MA, Arruda-Olson AM, Peissig PL, Dart RA, Brilliant MH, Larson EB, Carrell DS, Pendergrass S, Verma SS, Ritchie MD, Benoit B, Gainer VS, Karlson EW, Gordon AS, Jarvik GP, Stanaway IB, Crosslin DR, Mohan S, Ionita-Laza I, Tatonetti NP, Gharavi AG, Hripcsak G, Weng C, Kiryluk K. Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. NPJ Digit Med 2021; 4:70. [PMID: 33850243 PMCID: PMC8044136 DOI: 10.1038/s41746-021-00428-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 02/25/2021] [Indexed: 12/19/2022] Open
Abstract
Chronic Kidney Disease (CKD) represents a slowly progressive disorder that is typically silent until late stages, but early intervention can significantly delay its progression. We designed a portable and scalable electronic CKD phenotype to facilitate early disease recognition and empower large-scale observational and genetic studies of kidney traits. The algorithm uses a combination of rule-based and machine-learning methods to automatically place patients on the staging grid of albuminuria by glomerular filtration rate ("A-by-G" grid). We manually validated the algorithm by 451 chart reviews across three medical systems, demonstrating overall positive predictive value of 95% for CKD cases and 97% for healthy controls. Independent case-control validation using 2350 patient records demonstrated diagnostic specificity of 97% and sensitivity of 87%. Application of the phenotype to 1.3 million patients demonstrated that over 80% of CKD cases are undetected using ICD codes alone. We also demonstrated several large-scale applications of the phenotype, including identifying stage-specific kidney disease comorbidities, in silico estimation of kidney trait heritability in thousands of pedigrees reconstructed from medical records, and biobank-based multicenter genome-wide and phenome-wide association studies.
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Affiliation(s)
- Ning Shang
- Department of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Atlas Khan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Fernanda Polubriaginof
- Department of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Francesca Zanoni
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Karla Mehl
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - David Fasel
- Department of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Paul E Drawz
- Department of Medicine, University of Minnesota, Minnesota, MN, USA
| | - Robert J Carrol
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
| | - Joshua C Denny
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
- Departments of Medicine, Vanderbilt University, Nashville, TN, USA
| | | | | | | | - Richard A Dart
- Marshfield Clinic Research Institute, Marshfield, WI, USA
| | | | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - David S Carrell
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | | | | | | | | | | | - Adam S Gordon
- Center for Genetic Medicine, Northwestern University, Chicago, IL, USA
| | - Gail P Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Ian B Stanaway
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David R Crosslin
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Iuliana Ionita-Laza
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Nicholas P Tatonetti
- Department of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Ali G Gharavi
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - George Hripcsak
- Department of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Chunhua Weng
- Department of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA.
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Fan L, Gao W, Liu Y, Jefferson JR, Fan F, Roman RJ. Knockout of γ-Adducin Promotes N G-Nitro-L-Arginine-Methyl-Ester-Induced Hypertensive Renal Injury. J Pharmacol Exp Ther 2021; 377:189-198. [PMID: 33414130 DOI: 10.1124/jpet.120.000408] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 01/04/2021] [Indexed: 12/19/2022] Open
Abstract
Previous studies identified a region on chromosome 1 associated with NG-nitro-L-arginine methyl ester (L-NAME) hypertension-induced renal disease in fawn-hooded hypertensive (FHH) rats. This region contains a mutant γ-adducin (Add3) gene that impairs renal blood flow (RBF) autoregulation, but its contribution to renal injury is unknown. The present study evaluated the hypothesis that knockout (KO) of Add3 impairs the renal vasoconstrictor response to the blockade of nitric oxide synthase and enhances hypertension-induced renal injury after chronic administration of L-NAME plus a high-salt diet. The acute hemodynamic effect of L-NAME and its chronic effects on hypertension and renal injury were compared in FHH 1Brown Norway (FHH 1BN) congenic rats (WT) expressing wild-type Add3 gene versus FHH 1BN Add3 KO rats. RBF was well autoregulated in WT rats but impaired in Add3 KO rats. Acute administration of L-NAME (10 mg/kg) raised mean arterial pressure (MAP) similarly in both strains, but RBF and glomerular filtration rate (GFR) fell by 38% in WT versus 15% in Add3 KO rats. MAP increased similarly in both strains after chronic administration of L-NAME and a high-salt diet; however, proteinuria and renal injury were greater in Add3 KO rats than in WT rats. Surprisingly, RBF, GFR, and glomerular capillary pressure were 41%, 82%, and 13% higher in L-NAME-treated Add3 KO rats than in WT rats. Hypertensive Add3 KO rats exhibited greater loss of podocytes and glomerular nephrin expression and increased interstitial fibrosis than in WT rats. These findings indicate that loss of ADD3 promotes L-NAME-induced renal injury by altering renal hemodynamics and enhancing the transmission of pressure to glomeruli. SIGNIFICANCE STATEMENT: A mutation in the γ-adducin (Add3) gene in fawn-hooded hypertensive rats that impairs autoregulation of renal blood flow is in a region of rat chromosome 1 homologous to a locus on human chromosome 10 associated with diabetic nephropathy. The present results indicate that loss of ADD3 enhanced NG-nitro-L-arginine methyl ester-induced hypertensive renal injury by altering the transmission of pressure to the glomerulus.
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Affiliation(s)
- Letao Fan
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Wenjun Gao
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Yedan Liu
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Joshua R Jefferson
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Fan Fan
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Richard J Roman
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
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Chen Y, Liang KY, Tong P, Beaty TH, Barnes KC, Linda Kao WH. A pseudolikelihood approach for assessing genetic association in case-control studies with unmeasured population structure. Stat Methods Med Res 2020; 29:3153-3165. [PMID: 32393154 DOI: 10.1177/0962280220921212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The case-control study design is one of the main tools for detecting associations between genetic markers and diseases. It is well known that population substructure can lead to spurious association between disease status and a genetic marker if the prevalence of disease and the marker allele frequency vary across subpopulations. In this paper, we propose a novel statistical method to estimate the association in case-control studies with unmeasured population substructure. The proposed method takes two steps. First, the information on genomic markers and disease status is used to infer the population substructure; second, the association between the disease and the test marker adjusting for the population substructure is modeled and estimated parametrically through polytomous logistic regression. The performance of the proposed method, relative to the existing methods, on bias, coverage probability and computational time, is assessed through simulations. The method is applied to an end-stage renal disease study in African Americans population.
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Affiliation(s)
- Yong Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, USA
| | | | - Pan Tong
- Department of Bioinformatics & Computational Biology, University of Texas, Houston, USA
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins University, Baltimore, USA
| | - Kathleen C Barnes
- University of Colorado Denver - Anschutz Medical Campus, Aurora, USA
| | - W H Linda Kao
- Department of Epidemiology, Johns Hopkins University, Baltimore, USA
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Fan F, Geurts AM, Pabbidi MR, Ge Y, Zhang C, Wang S, Liu Y, Gao W, Guo Y, Li L, He X, Lv W, Muroya Y, Hirata T, Prokop J, Booz GW, Jacob HJ, Roman RJ. A Mutation in γ-Adducin Impairs Autoregulation of Renal Blood Flow and Promotes the Development of Kidney Disease. J Am Soc Nephrol 2020; 31:687-700. [PMID: 32029431 DOI: 10.1681/asn.2019080784] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 12/14/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The genes and mechanisms involved in the association between diabetes or hypertension and CKD risk are unclear. Previous studies have implicated a role for γ-adducin (ADD3), a cytoskeletal protein encoded by Add3. METHODS We investigated renal vascular function in vitro and in vivo and the susceptibility to CKD in rats with wild-type or mutated Add3 and in genetically modified rats with overexpression or knockout of ADD3. We also studied glomeruli and primary renal vascular smooth muscle cells isolated from these rats. RESULTS This study identified a K572Q mutation in ADD3 in fawn-hooded hypertensive (FHH) rats-a mutation previously reported in Milan normotensive (MNS) rats that also develop kidney disease. Using molecular dynamic simulations, we found that this mutation destabilizes a critical ADD3-ACTIN binding site. A reduction of ADD3 expression in membrane fractions prepared from the kidney and renal vascular smooth muscle cells of FHH rats was associated with the disruption of the F-actin cytoskeleton. Compared with renal vascular smooth muscle cells from Add3 transgenic rats, those from FHH rats had elevated membrane expression of BKα and BK channel current. FHH and Add3 knockout rats exhibited impairments in the myogenic response of afferent arterioles and in renal blood flow autoregulation, which were rescued in Add3 transgenic rats. We confirmed these findings in a genetic complementation study that involved crossing FHH and MNS rats that share the ADD3 mutation. Add3 transgenic rats showed attenuation of proteinuria, glomerular injury, and kidney fibrosis with aging and mineralocorticoid-induced hypertension. CONCLUSIONS This is the first report that a mutation in ADD3 that alters ACTIN binding causes renal vascular dysfunction and promotes the susceptibility to kidney disease.
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Affiliation(s)
- Fan Fan
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Aron M Geurts
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Mallikarjuna R Pabbidi
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Ying Ge
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Chao Zhang
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Shaoxun Wang
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Yedan Liu
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Wenjun Gao
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Ya Guo
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Longyang Li
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Xiaochen He
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Wenshan Lv
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Yoshikazu Muroya
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Takashi Hirata
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Jeremy Prokop
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan
| | - George W Booz
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Howard J Jacob
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Richard J Roman
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi;
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Tziastoudi M, Stefanidis I, Stravodimos K, Zintzaras E. Identification of Chromosomal Regions Linked to Diabetic Nephropathy: A Meta-Analysis of Genome-Wide Linkage Scans. Genet Test Mol Biomarkers 2019; 23:105-117. [DOI: 10.1089/gtmb.2018.0209] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Affiliation(s)
- Maria Tziastoudi
- Department of Biomathematics, Faculty of Medicine, University of Thessaly, Larissa, Greece
| | - Ioannis Stefanidis
- Department of Nephrology, Faculty of Medicine, University of Thessaly, Larissa, Greece
| | - Konstantinos Stravodimos
- 1st University Department of Urology, Laiko General Hospital, National and Kapodistrian Athens University, Athens, Greece
| | - Elias Zintzaras
- Department of Biomathematics, Faculty of Medicine, University of Thessaly, Larissa, Greece
- The Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts
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Tunç E, Demirhan O, Sağliker Y, Yildiz İ, Paylar N, Güzel Aİ. Chromosomal findings and sequence analysis of target exons of calcium-sensingreceptor (CaSR) gene in patients with Sagliker syndrome. Turk J Med Sci 2017; 47:13-21. [PMID: 28263480 DOI: 10.3906/sag-1507-102] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Accepted: 01/28/2016] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND/AIM Sagliker syndrome (SS) develops as a continuation of chronic kidney disease and secondary hyperparathyroidism conditions. It was thought that there are some genetic predisposition factors leading to SS. The calcium-sensing receptor (CaSR) is essential for calcium homeostasis in the body. We aimed to examine SS patients for chromosome aberrations (CAs) and CaSR gene abnormalities in exons 2 and 3. MATERIALS AND METHODS Twenty-three patients and 23 control subjects were admitted to Balcalı Hospital of the Medical Faculty of Çukurova University in Turkey between 2009 and 2011. Chromosomal analysis was performed according to standard cytogenetic methods. Full sequencing of exons 2 and 3 of the CaSR gene was done. RESULTS We found base alterations and deletions in exons 2 and 3 of the CaSR gene. We also found a statistically significant increase in the rate of CAs in patients compared to controls. In total we evaluated 639 metaphase plaques in 23 patients and found 241 CAs, of which 88% were structural and 12% were numerical abnormalities. CONCLUSION There is no relation between the etiology of SS and nucleotide alterations that we could find in exons 2 and 3 of the CaSR gene. Our data suggest that there may be a correlation between CAs and the progression of SS.
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Affiliation(s)
- Erdal Tunç
- Department of Medical Biology and Genetics, Faculty of Medicine, Çukurova University, Adana, Turkey
| | - Osman Demirhan
- Department of Medical Biology and Genetics, Faculty of Medicine, Çukurova University, Adana, Turkey
| | - Yahya Sağliker
- Department of Internal Medicine, Faculty of Medicine, Çukurova University, Adana, Turkey
| | | | - Nuray Paylar
- Department of Internal Medicine, Faculty of Medicine, Çukurova University, Adana, Turkey
| | - Ali İrfan Güzel
- Department of Medical Biology and Genetics, Faculty of Medicine, Recep Tayyip Erdoğan University, Rize, Turkey
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Iyengar SK, Sedor JR, Freedman BI, Kao WHL, Kretzler M, Keller BJ, Abboud HE, Adler SG, Best LG, Bowden DW, Burlock A, Chen YDI, Cole SA, Comeau ME, Curtis JM, Divers J, Drechsler C, Duggirala R, Elston RC, Guo X, Huang H, Hoffmann MM, Howard BV, Ipp E, Kimmel PL, Klag MJ, Knowler WC, Kohn OF, Leak TS, Leehey DJ, Li M, Malhotra A, März W, Nair V, Nelson RG, Nicholas SB, O’Brien SJ, Pahl MV, Parekh RS, Pezzolesi MG, Rasooly RS, Rotimi CN, Rotter JI, Schelling JR, Seldin MF, Shah VO, Smiles AM, Smith MW, Taylor KD, Thameem F, Thornley-Brown DP, Truitt BJ, Wanner C, Weil EJ, Winkler CA, Zager PG, Igo RP, Hanson RL, Langefeld CD. Genome-Wide Association and Trans-ethnic Meta-Analysis for Advanced Diabetic Kidney Disease: Family Investigation of Nephropathy and Diabetes (FIND). PLoS Genet 2015; 11:e1005352. [PMID: 26305897 PMCID: PMC4549309 DOI: 10.1371/journal.pgen.1005352] [Citation(s) in RCA: 93] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Accepted: 06/10/2015] [Indexed: 11/28/2022] Open
Abstract
Diabetic kidney disease (DKD) is the most common etiology of chronic kidney disease (CKD) in the industrialized world and accounts for much of the excess mortality in patients with diabetes mellitus. Approximately 45% of U.S. patients with incident end-stage kidney disease (ESKD) have DKD. Independent of glycemic control, DKD aggregates in families and has higher incidence rates in African, Mexican, and American Indian ancestral groups relative to European populations. The Family Investigation of Nephropathy and Diabetes (FIND) performed a genome-wide association study (GWAS) contrasting 6,197 unrelated individuals with advanced DKD with healthy and diabetic individuals lacking nephropathy of European American, African American, Mexican American, or American Indian ancestry. A large-scale replication and trans-ethnic meta-analysis included 7,539 additional European American, African American and American Indian DKD cases and non-nephropathy controls. Within ethnic group meta-analysis of discovery GWAS and replication set results identified genome-wide significant evidence for association between DKD and rs12523822 on chromosome 6q25.2 in American Indians (P = 5.74x10-9). The strongest signal of association in the trans-ethnic meta-analysis was with a SNP in strong linkage disequilibrium with rs12523822 (rs955333; P = 1.31x10-8), with directionally consistent results across ethnic groups. These 6q25.2 SNPs are located between the SCAF8 and CNKSR3 genes, a region with DKD relevant changes in gene expression and an eQTL with IPCEF1, a gene co-translated with CNKSR3. Several other SNPs demonstrated suggestive evidence of association with DKD, within and across populations. These data identify a novel DKD susceptibility locus with consistent directions of effect across diverse ancestral groups and provide insight into the genetic architecture of DKD. Type 2 diabetes is the most common cause of severe kidney disease worldwide and diabetic kidney disease (DKD) associates with premature death. Individuals of non-European ancestry have the highest burden of type 2 DKD; hence understanding the causes of DKD remains critical to reducing health disparities. Family studies demonstrate that genes regulate the onset and progression of DKD; however, identifying these genes has proven to be challenging. The Family Investigation of Diabetes and Nephropathy consortium (FIND) recruited a large multi-ethnic collection of individuals with type 2 diabetes with and without kidney disease in order to detect genes associated with DKD. FIND discovered and replicated a DKD-associated genetic locus on human chromosome 6q25.2 (rs955333) between the SCAF8 and CNKSR genes. Findings were supported by significantly different expression of genes in this region from kidney tissue of subjects with, versus without DKD. The present findings identify a novel kidney disease susceptibility locus in individuals with type 2 diabetes which is consistent across subjects of differing ancestries. In addition, FIND results provide a rich catalogue of genetic variation in DKD patients for future research on the genetic architecture regulating this common and devastating disease.
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Affiliation(s)
- Sudha K. Iyengar
- Department of Epidemiology & Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
- * E-mail: (SKI); (JRS); (BIF)
| | - John R. Sedor
- Departments of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
- Departments of Physiology and Biophysics, Case Western Reserve University, Cleveland, Ohio, United States of America
- * E-mail: (SKI); (JRS); (BIF)
| | - Barry I. Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- * E-mail: (SKI); (JRS); (BIF)
| | - W. H. Linda Kao
- Department of Epidemiology and Medicine, John Hopkins University, Baltimore, Maryland, United States of America
| | - Matthias Kretzler
- Department of Internal Medicine/Nephrology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Benjamin J. Keller
- Department of Internal Medicine/Nephrology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Hanna E. Abboud
- Department of Medicine/Nephrology, The University of Texas Health Science Center, San Antonio, Texas, United States of America
| | - Sharon G. Adler
- Department of Medicine, Division of Nephrology and Hypertension, Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Lyle G. Best
- Missouri Breaks Industries Research, Timber Lake, South Dakota, United States of America
| | - Donald W. Bowden
- Department of Biochemistry, Center for Human Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Allison Burlock
- Department of Internal Medicine/Nephrology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Shelley A. Cole
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Mary E. Comeau
- Center for Public Health Genomics and Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, United States of America
| | - Jeffrey M. Curtis
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, United States of America
| | - Jasmin Divers
- Center for Public Health Genomics and Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, United States of America
| | - Christiane Drechsler
- University Hospital Würzburg, Renal Division and Comprehensive Heart Failure Center, Würzburg, Germany
| | - Ravi Duggirala
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Robert C. Elston
- Department of Epidemiology & Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Huateng Huang
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America
| | | | - Barbara V. Howard
- MedStar Health Research Institute, Hyattsville, Maryland, United States of America
| | - Eli Ipp
- Department of Medicine, Section of Diabetes and Metabolism, Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Paul L. Kimmel
- Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, United States of America
| | - Michael J. Klag
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - William C. Knowler
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, United States of America
| | - Orly F. Kohn
- Department of Medicine, University of Chicago Medicine, Chicago, Illinois, United States of America
| | - Tennille S. Leak
- Department of Internal Medicine/Nephrology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - David J. Leehey
- Department of Medicine, Loyola School of Medicine, Maywood, Illinois, United States of America
| | - Man Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Alka Malhotra
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, United States of America
| | - Winfried März
- Heidelberg University and Synlab Academy, University of Graz, Graz, Austria
| | - Viji Nair
- Department of Internal Medicine/Nephrology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Robert G. Nelson
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, United States of America
| | - Susanne B. Nicholas
- Department of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Stephen J. O’Brien
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg, Russia, and Oceanographic Center, Nova Southeastern University, Ft. Lauderdale, Florida, United States of America
| | - Madeleine V. Pahl
- Department of Medicine, University of California, Irvine, Irvine, California, United States of America
| | - Rulan S. Parekh
- Departments of Paediatrics and Medicine, Hospital for Sick Children, University Health Network and the University of Toronto, Toronto, Ontario, Canada
| | - Marcus G. Pezzolesi
- Department of Medicine, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Rebekah S. Rasooly
- National Institute of Diabetes and Digestive Disease, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Charles N. Rotimi
- Center for Research on Genomics and Global Health, Bethesda, Maryland, United States of America
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Jeffrey R. Schelling
- Departments of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Michael F. Seldin
- Department of Biochemistry and Molecular Medicine, UC Davis School of Medicine, Davis, California, United States of America
| | - Vallabh O. Shah
- Department of Biochemistry & Molecular Biology, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Adam M. Smiles
- Joslin Diabetes Center, Section on Genetics and Epidemiology, Boston, Massachusetts, United States of America
| | - Michael W. Smith
- National Human Genome Research Institute, Rockville, Maryland, United States of America
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Farook Thameem
- Department of Medicine, The University of Texas Health Science Center, San Antonio, Texas, United States of America
| | | | - Barbara J. Truitt
- Department of Epidemiology & Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Christoph Wanner
- Department of Medicine, Division of Nephrology, University Hospital Würzburg, Würzburg, Germany
| | - E. Jennifer Weil
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, United States of America
| | - Cheryl A. Winkler
- Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Philip G. Zager
- Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Robert P. Igo
- Department of Epidemiology & Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Robert L. Hanson
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, United States of America
| | - Carl D. Langefeld
- The Institute for Translational Genomics and Population Sciences, Harbor-UCLA Medical Center, Torrance, California, United States of America
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10
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Lipner EM, Tomer Y, Noble JA, Monti MC, Lonsdale JT, Corso B, Greenberg DA. Linkage Analysis of Genomic Regions Contributing to the Expression of Type 1 Diabetes Microvascular Complications and Interaction with HLA. J Diabetes Res 2015; 2015:694107. [PMID: 26539552 PMCID: PMC4619952 DOI: 10.1155/2015/694107] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2014] [Revised: 01/29/2015] [Accepted: 02/08/2015] [Indexed: 01/14/2023] Open
Abstract
We conducted linkage analysis to follow up earlier work on microvascular complications of type 1 diabetes (T1D). We analyzed 415 families (2,008 individuals) previously genotyped for 402 SNP markers spanning chromosome 6. We did linkage analysis for the phenotypes of retinopathy and nephropathy. For retinopathy, two linkage peaks were mapped: one located at the HLA region and another novel locus telomeric to HLA. For nephropathy, a linkage peak centromeric to HLA was mapped, but the linkage peak telomeric to HLA seen in retinopathy was absent. Because of the strong association of T1D with DRB1*03:01 and DRB1*04:01, we stratified our analyses based on families whose probands were positive for DRB1*03:01 or DRB1*04:01. When analyzing the DRB1*03:01-positive retinopathy families, in addition to the novel telomeric locus, one centromeric to HLA was identified at the same location as the nephropathy peak. When we stratified on DRB1*04:01-positive families, the HLA telomeric peak strengthened but the centromeric peak disappeared. Our findings showed that HLA and non-HLA loci on chromosome 6 are involved in T1D complications' expression. While the HLA region is a major contributor to the expression of T1D, our results suggest an interaction between specific HLA alleles and other loci that influence complications' expression.
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Affiliation(s)
- Ettie M. Lipner
- Integrated Center for Genes, Environment and Health, National Jewish Health, Denver, CO 80206, USA
- Department of Pharmacology, University of Colorado Denver School of Medicine, Aurora, CO 80045, USA
| | - Yaron Tomer
- Department of Medicine, Mount Sinai Medical Center, New York, NY 10013, USA
| | - Janelle A. Noble
- Children's Hospital Oakland Research Institute, Oakland, CA 94702, USA
| | - Maria C. Monti
- National Research Council, Neuroscience Institute, 35128 Padova, Italy
| | - John T. Lonsdale
- National Disease Research Interchange, Philadelphia, PA 19103, USA
| | - Barbara Corso
- National Research Council, Neuroscience Institute, 35128 Padova, Italy
| | - David A. Greenberg
- Battelle Center for Mathematical Medicine, Nationwide Children's Hospital, Columbus, OH 43215, USA
- Department of Pediatrics, Wexner Medical Center, Ohio State University, Columbus, OH 43205, USA
- *David A. Greenberg:
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11
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Abstract
Diabetes mellitus contributes greatly to morbidity, mortality, and overall health care costs. In major part, these outcomes derive from the high incidence of progressive kidney dysfunction in patients with diabetes making diabetic nephropathy a leading cause of end-stage renal disease. A better understanding of the molecular mechanism involved and of the early dysfunctions observed in the diabetic kidney may permit the development of new strategies to prevent diabetic nephropathy. Here we review the pathophysiological changes that occur in the kidney in response to hyperglycemia, including the cellular responses to high glucose and the responses in vascular, glomerular, podocyte, and tubular function. The molecular basis, characteristics, and consequences of the unique growth phenotypes observed in the diabetic kidney, including glomerular structures and tubular segments, are outlined. We delineate mechanisms of early diabetic glomerular hyperfiltration including primary vascular events as well as the primary role of tubular growth, hyperreabsorption, and tubuloglomerular communication as part of a "tubulocentric" concept of early diabetic kidney function. The latter also explains the "salt paradox" of the early diabetic kidney, that is, a unique and inverse relationship between glomerular filtration rate and dietary salt intake. The mechanisms and consequences of the intrarenal activation of the renin-angiotensin system and of diabetes-induced tubular glycogen accumulation are discussed. Moreover, we aim to link the changes that occur early in the diabetic kidney including the growth phenotype, oxidative stress, hypoxia, and formation of advanced glycation end products to mechanisms involved in progressive kidney disease.
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Affiliation(s)
- Volker Vallon
- Department of Medicine, University of California San Diego & VA San Diego Healthcare System, San Diego, California, USA.
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12
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Burke M, Pabbidi M, Fan F, Ge Y, Liu R, Williams JM, Sarkis A, Lazar J, Jacob HJ, Roman RJ. Genetic basis of the impaired renal myogenic response in FHH rats. Am J Physiol Renal Physiol 2012; 304:F565-77. [PMID: 23220727 DOI: 10.1152/ajprenal.00404.2012] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
This study examined the effect of substitution of a 2.4-megabase pair (Mbp) region of Brown Norway (BN) rat chromosome 1 (RNO1) between 258.8 and 261.2 Mbp onto the genetic background of fawn-hooded hypertensive (FHH) rats on autoregulation of renal blood flow (RBF), myogenic response of renal afferent arterioles (AF-art), K(+) channel activity in renal vascular smooth muscle cells (VSMCs), and development of proteinuria and renal injury. FHH rats exhibited poor autoregulation of RBF, while FHH.1BN congenic strains with the 2.4-Mbp BN region exhibited nearly perfect autoregulation of RBF. The diameter of AF-art from FHH rats increased in response to pressure but decreased in congenic strains containing the 2.4-Mbp BN region. Protein excretion and glomerular and interstitial damage were significantly higher in FHH rats than in congenic strains containing the 2.4-Mbp BN region. K(+) channel current was fivefold greater in VSMCs from renal arterioles of FHH rats than cells obtained from congenic strains containing the 2.4-Mbp region. Sequence analysis of the known and predicted genes in the 2.4-Mbp region of FHH rats revealed amino acid-altering variants in the exons of three genes: Add3, Rbm20, and Soc-2. Quantitative PCR studies indicated that Mxi1 and Rbm20 were differentially expressed in the renal vasculature of FHH and FHH.1BN congenic strain F. These data indicate that transfer of this 2.4-Mbp region from BN to FHH rats restores the myogenic response of AF-art and autoregulation of RBF, decreases K(+) current, and slows the progression of proteinuria and renal injury.
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Affiliation(s)
- Marilyn Burke
- Dept. of Pharmacology and Toxicology, Univ. of Mississippi Medical Center, 2500 North State St. Jackson, MS 39216, USA
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13
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Thomas CJ. The confluence of human genomics, environment, and determinants of health-related quality of life among African American hemodialysis patients. SOCIAL WORK IN PUBLIC HEALTH 2011; 26:417-430. [PMID: 21707350 DOI: 10.1080/19371918.2011.579505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
The intersection of human genome sequencing, environmental factors that lend to further understanding of the etiology of complex diseases, and components that constitute the health-related quality of life for African American hemodialysis patients are explored in this article. There are many renal diseases that have genetic components. Even though genetic polymorphisms and allelic variations can explain some of the etiology and disparities in disease susceptibility for African Americans, the role of the environment must also be considered. For African American hemodialysis patients, the environmental influences of religiosity and social support, along with genetic factors, affect their health-related quality of life. A study of 176 African American hemodialysis patients revealed that religiosity and social support had a significant impact on patient's health-related quality of life. Implications of the study mandate that social and behavioral researchers, who tend to focus on environmental issues, be given more freedom and latitude, along with genetic researchers, in designing and implementing studies involving genomic sequencing and the influence on health disparities among persons of African descent.
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Affiliation(s)
- Claudie J Thomas
- School of Social Work, Morgan State University, Baltimore, Maryland 21251, USA.
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14
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MacCluer JW, Scavini M, Shah VO, Cole SA, Laston SL, Voruganti VS, Paine SS, Eaton AJ, Comuzzie AG, Tentori F, Pathak DR, Bobelu A, Bobelu J, Ghahate D, Waikaniwa M, Zager PG. Heritability of measures of kidney disease among Zuni Indians: the Zuni Kidney Project. Am J Kidney Dis 2010; 56:289-302. [PMID: 20646805 DOI: 10.1053/j.ajkd.2010.03.012] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2009] [Accepted: 03/03/2010] [Indexed: 01/29/2023]
Abstract
BACKGROUND The long-term goal of the GKDZI (Genetics of Kidney Disease in Zuni Indians) Study is to identify genes, environmental factors, and genetic-environmental interactions that modulate susceptibility to renal disease and intermediate phenotypes. STUDY DESIGN A community-based participatory research approach was used to recruit family members of individuals with kidney disease. SETTING & PARTICIPANTS The study was conducted in the Zuni Indians, a small endogamous tribe located in rural New Mexico. We recruited members of extended families, ascertained through a proband with kidney disease and at least 1 sibling with kidney disease. 821 participants were recruited, comprising 7,702 relative pairs. PREDICTOR OUTCOMES & MEASUREMENTS: Urine albumin-creatinine ratio (UACR) and hematuria were determined in 3 urine samples and expressed as a true ratio. Glomerular filtration rate (GFR) was estimated using the Modification of Diet in Renal Disease (MDRD) Study equation modified for American Indians. Probands were considered to have kidney disease if UACR was >or=0.2 in 2 or more of 3 spot urine samples or estimated GFR was decreased according to the CRIC (Chronic Renal Insufficiency Cohort) Study criteria. RESULTS Kidney disease was identified in 192 participants (23.4%). There were significant heritabilities for estimated GFR, UACR, serum creatinine, serum urea nitrogen, and uric acid and a variety of phenotypes related to obesity, diabetes, and cardiovascular disease. There were significant genetic correlations of some kidney-related phenotypes with these other phenotypes. LIMITATIONS Limitations include absence of renal biopsy, possible misclassification bias, lack of direct GFR measurements, and failure to include all possible environmental interactions. CONCLUSIONS Many phenotypes related to kidney disease showed significant heritabilities in Zuni Indians, and there were significant genetic correlations with phenotypes related to obesity, diabetes, and cardiovascular disease. The study design serves as a paradigm for the conduct of research in relatively isolated, endogamous, underserved populations.
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Affiliation(s)
- Jean W MacCluer
- Southwest Foundation for Biomedical Research, San Antonio, TX, USA
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15
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McKnight AJ, O'Donoghue D, Peter Maxwell A. Annotated chromosome maps for renal disease. Hum Mutat 2009; 30:314-20. [PMID: 19085929 DOI: 10.1002/humu.20885] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
A combination of linkage analyses and association studies are currently employed to promote the identification of genetic factors contributing to inherited renal disease. We have standardized and merged complex genetic data from disparate sources, creating unique chromosomal maps to enhance genetic epidemiological investigations. This database and novel renal maps effectively summarize genomic regions of suggested linkage, association, or chromosomal abnormalities implicated in renal disease. Chromosomal regions associated with potential intermediate clinical phenotypes have been integrated, adding support for particular genomic intervals. More than 500 reports from medical databases, published scientific literature, and the World Wide Web were interrogated for relevant renal-related information. Chromosomal regions highlighted for prioritized investigation of renal complications include 3q13-26, 6q22-27, 10p11-15, 16p11-13, and 18q22. Combined genetic and physical maps are effective tools to organize genetic data for complex diseases. These renal chromosome maps provide insights into renal phenotype-genotype relationships and act as a template for future genetic investigations into complex renal diseases. New data from individual researchers and/or future publications can be readily incorporated to this resource via a user-friendly web-form accessed from the website: www.qub.ac.uk/neph-res/CORGI/index.php.
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Affiliation(s)
- Amy Jayne McKnight
- Nephrology Research Group, Queen's University of Belfast, United Kingdom.
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The association of cell cycle checkpoint 2 variants and kidney function: findings of the Family Blood Pressure Program and the Atherosclerosis Risk In Communities study. Am J Hypertens 2009; 22:552-8. [PMID: 19265784 DOI: 10.1038/ajh.2009.41] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Recent experimental evidence suggests that DNA damage and cell cycle regulatory proteins are involved in kidney injury and apoptosis. The checkpoint 2 gene (CHEK2) is an important transducer in DNA damage signaling pathways in response to injury, and therefore, CHEK2 variants may affect susceptibility to kidney disease. METHODS We used tag-single-nucleotide polymorphisms (tag-SNPs) to evaluate the association of the CHEK2 with kidney function (estimated glomerular filtration rate, eGFR) in 1,549 African-American and 1,423 white Hypertension Genetic Epidemiology Network (HyperGEN) participants. We performed replication analyses in the Genetic Epidemiology Network of Arteriopathy (GENOA) participants (1,746 African Americans and 1,418 whites), GenNet participants (706 whites), and Atherosclerosis Risk in Communities (ARIC) study participants (3,783 African Americans and 10,936 whites). All analyses were race-stratified and used additive genetic models with adjustments for covariates and for family structure, if needed. RESULTS One tag-SNP, rs5762764, was associated with eGFR in HyperGEN (P = 0.003) and GENOA white participants (P = 0.009), and it was significantly associated with eGFR in meta-analyses (P = 0.002). The associations were independent of type 2 diabetes. CONCLUSIONS These results suggest that CHEK2 variants may influence eGFR in the context of hypertension.
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17
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Kao WHL, Klag MJ, Meoni LA, Reich D, Berthier-Schaad Y, Li M, Coresh J, Patterson N, Tandon A, Powe NR, Fink NE, Sadler JH, Weir MR, Abboud HE, Adler SG, Divers J, Iyengar SK, Freedman BI, Kimmel PL, Knowler WC, Kohn OF, Kramp K, Leehey DJ, Nicholas SB, Pahl MV, Schelling JR, Sedor JR, Thornley-Brown D, Winkler CA, Smith MW, Parekh RS. MYH9 is associated with nondiabetic end-stage renal disease in African Americans. Nat Genet 2008; 40:1185-92. [PMID: 18794854 DOI: 10.1038/ng.232] [Citation(s) in RCA: 488] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2008] [Accepted: 07/21/2008] [Indexed: 12/20/2022]
Abstract
As end-stage renal disease (ESRD) has a four times higher incidence in African Americans compared to European Americans, we hypothesized that susceptibility alleles for ESRD have a higher frequency in the West African than the European gene pool. We carried out a genome-wide admixture scan in 1,372 ESRD cases and 806 controls and found a highly significant association between excess African ancestry and nondiabetic ESRD (lod score = 5.70) but not diabetic ESRD (lod = 0.47) on chromosome 22q12. Each copy of the European ancestral allele conferred a relative risk of 0.50 (95% CI = 0.39-0.63) compared to African ancestry. Multiple common SNPs (allele frequencies ranging from 0.2 to 0.6) in the gene encoding nonmuscle myosin heavy chain type II isoform A (MYH9) were associated with two to four times greater risk of nondiabetic ESRD and accounted for a large proportion of the excess risk of ESRD observed in African compared to European Americans.
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Affiliation(s)
- W H Linda Kao
- Department of Epidemiology, School of Medicine and Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21287, USA.
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18
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Mottl AK, Vupputuri S, Cole SA, Almasy L, Göring HHH, Diego VP, Laston S, Franceschini N, Shara NM, Lee ET, Best LG, Fabsitz RR, MacCluer JW, Umans JG, North KE. Linkage analysis of glomerular filtration rate in American Indians. Kidney Int 2008; 74:1185-91. [PMID: 18854848 DOI: 10.1038/ki.2008.410] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
American Indians have a disproportionately high rate of kidney disease likely due to a combination of environmental and genetic factors. We performed a genome wide scan of estimated glomerular filtration rate in 3665 participants of the Strong Heart Family Study to localize genes influencing kidney disease risk factors. The participants were men and women from 13 American Indian tribes recruited from 3 centers located in Arizona, the Dakotas and Oklahoma. Multipoint variance component linkage analysis was performed for each center and on the entire cohort after controlling for center effects. Modeling strategies that incorporated age, gender and interaction terms (model 1) and another that also controlled for diabetes mellitus, systolic and diastolic blood pressure, body mass index, low density and high density lipoproteins, triglycerides and smoking status (model 2) were used. Significant evidence for linkage in the Arizona group was found on chromosome 12p12.2 at 39cM (nearest marker D12S310) using model 1. Additional loci with very suggestive evidence for linkage were detected at 1p36.31 for all groups using both models and at 2q33.3 and 9q34.2 for the Dakotas group each using model 1. No significant evidence for additive interaction with diabetes, hypertension or obesity was noted. This evidence for linkage of a quantitative trait locus influencing estimated glomerular filtration rate to a region of chromosome 12p in a large cohort of American Indians will be worth studying in more detail in the future.
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Affiliation(s)
- Amy K Mottl
- UNC Kidney Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7155, USA.
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19
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Ijpelaar DHT, Schulz A, Aben J, van der Wal A, Bruijn JA, Kreutz R, de Heer E. Genetic predisposition for glomerulonephritis-induced glomerulosclerosis in rats is linked to chromosome 1. Physiol Genomics 2008; 35:173-81. [PMID: 18682577 DOI: 10.1152/physiolgenomics.00268.2007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Genetic factors influence renal disease progression, and several loci have been linked to the spontaneous development of proteinuria and glomerulosclerosis in animal models. However, the role of genetic susceptibility in glomerulonephritis-induced progressive glomerulosclerosis is unknown. In a rat model of mesangial proliferative glomerulonephritis, anti-Thy-1 glomerulonephritis (antiThy1GN), Lewis/Maastricht (Lew/Maa) rats exhibit progression to glomerulosclerosis, whereas in genetically related Lewis/Møllegard (Lew/Moll) rats, glomerular lesions are repaired within 3 wk. The genetic factors underlying this strain-related difference are not known. To identify novel quantitative trait loci (QTL) involved in progression or repair in Lewis rats, 145 female backcross rats [F1(Lew/Maa x Lew/Moll) x Lew/Maa] were studied. After induction of antiThy1GN proteinuria, we determined mesangial activation, the percentage of microaneurysms, and the glomerular damage score for each animal; a genome scan using 187 microsatellite markers was performed. QTL mapping revealed a significant QTL for glomerular damage score on chromosome 1 with a logarithm of odds (LOD) score of 3.9. Homozygosity for Lew/Maa DNA in this region was associated with a higher percentage of damaged glomeruli on day 21. Furthermore, suggestive linkage was found for the percentage of glomeruli with microaneurysms on day 3 on chromosome 1, 6, and 11; for mesangial activation on day 7 on chromosome 18, while proteinuria was suggestively linked to chromosome 5 (day 0), 4 (day 3), and 6 (day 7). This study identifies a QTL on rat chromosome 1 that is significantly linked to progressive glomerulosclerosis after acute glomerulonephritis.
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20
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Buraczynska M. Genetic predictors of renal failure. EXPERT OPINION ON MEDICAL DIAGNOSTICS 2008; 2:651-664. [PMID: 23495776 DOI: 10.1517/17530059.2.6.651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
BACKGROUND Both environmental and genetic factors contribute to the development and progression of chronic kidney disease. The completion of the human genome sequence and advances in genomic technology make possible identification of gene variants associated with renal failure. OBJECTIVE This review discusses the relevant genetic studies in chronic kidney disease, with particular emphasis on the most common causes of end stage renal failure, diabetic nephropathy and glomerulonephritis. METHODS Most of the studies presented were performed in recent years and employed association studies, both population-based and with candidate genes, as well as the genome-wide association and genome-wide scan approaches. RESULTS/CONCLUSION Increasing evidence supports an important role of genetic susceptibility in the development and progression of renal failure. Identification of disease genes will allow the identification of patients at high risk and the development of new strategies to prevent or delay the renal disease process.
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Affiliation(s)
- Monika Buraczynska
- Professor of Medical Sciences Medical University of Lublin, Laboratory for DNA Analysis and Molecular Diagnostics, Department of Nephrology, Dr K Jaczewskiego 8, 20-954 Lublin, Poland +48 81 7244 716 ; +48 81 7244 716 ;
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21
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Primer: strategies for identifying genes involved in renal disease. ACTA ACUST UNITED AC 2008; 4:265-76. [PMID: 18364721 DOI: 10.1038/ncpneph0785] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2007] [Accepted: 01/31/2008] [Indexed: 12/22/2022]
Abstract
The globally increasing number of patients with end-stage renal disease urges the identification of molecular pathways involved in renal pathophysiology, to serve as targets for intervention. Moreover, the identification of genetic risk factors or protective genes can aid tailored therapy. Tools that can be used to identify genes involved in renal disease include gene expression arrays, linkage analysis and association studies. Arrays are a powerful and widely used approach to the analysis of gene transcription and protein expression, whereas linkage analysis and association studies link disease susceptibility to particular genetic regions. Animal models are available to pinpoint the disease-associated genes. Candidate genes so far identified in renal disease include those encoding the podocyte proteins nephrin and podocin, the transcription factor WT1, the calcium channel TRPC6 and the enzyme phospholipase C-epsilon-1 (in congenital nephrotic syndrome and focal segmental glomerulosclerosis), and carnosinase (in diabetic nephropathy). In addition, linkage studies have identified chromosomal regions implicated in systemic lupus erythematosus, diabetic nephropathy and familial IgA nephropathy. Future studies will elucidate the emerging role of epigenetic regulation of gene expression in renal disease.
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22
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Ihalmo P, Wessman M, Kaunisto MA, Kilpikari R, Parkkonen M, Forsblom C, Holthöfer H, Groop PH. Association analysis of podocyte slit diaphragm genes as candidates for diabetic nephropathy. Diabetologia 2008; 51:86-90. [PMID: 17968527 DOI: 10.1007/s00125-007-0854-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2007] [Accepted: 09/18/2007] [Indexed: 12/01/2022]
Abstract
AIMS/HYPOTHESIS The slit diaphragm is an adhesion and signalling protein complex linking the interdigitating podocyte foot processes in the kidney glomerulus, and mutations in slit diaphragm-associated genes result in severe proteinuria. Here we report a genetic association analysis of four slit diaphragm genes, LRRC7, KIRREL, NPHS2 and ACTN4, in a Finnish diabetic nephropathy cohort. MATERIALS AND METHODS A total of 40 single nucleotide polymorphisms (SNPs) were genotyped in 1103 patients with type 1 diabetes. The patients were classified according to their renal status, and the genotype data were analysed in a cross-sectional case-control setting. To confirm positive associations, four SNPs were genotyped in 1,025 additional patients with type 1 diabetes. RESULTS No associations with diabetic nephropathy were observed for any of the analysed SNPs. The SNPs were not associated with the time from the onset of diabetes to the diagnosis of nephropathy or with glomerular filtration rate or AER as quantitative variables. In a sex-specific sub-analysis, the variants rs979972 and rs749701 in the first intron of ACTN4 were nominally associated with diabetic nephropathy in females, with odds ratios of 1.81 (95% CI 1.18-2.79, p = 0.007) and 1.93 (95% CI 1.26-2.96, p = 0.003) respectively. CONCLUSIONS/INTERPRETATION Our study has not found any evidence that common variants in LRRC7, KIRREL, NPHS2 and ACTN4 contribute to susceptibility to diabetic nephropathy in Finnish patients with type 1 diabetes.
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Affiliation(s)
- P Ihalmo
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, University of Helsinki, Helsinki, Finland
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Puppala S, Arya R, Thameem F, Arar NH, Bhandari K, Lehman DM, Schneider J, Fowler S, Farook VS, Diego VP, Almasy L, Blangero J, Stern MP, Duggirala R, Abboud HE. Genotype by diabetes interaction effects on the detection of linkage of glomerular filtration rate to a region on chromosome 2q in Mexican Americans. Diabetes 2007; 56:2818-28. [PMID: 17698600 DOI: 10.2337/db06-0984] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE Glomerular filtration rate (GFR) is used to assess the progression of renal disease. We performed linkage analysis to localize genes that influence GFR using estimated GFR data from the San Antonio Family Diabetes/Gallbladder Study. We also examined the effect of genotype by diabetes interaction (G x DM) on the detection of linkage to address whether genetic effects on GFR differ in diabetic and nondiabetic subjects. RESEARCH DESIGN AND METHODS GFR (N = 453) was estimated using the recently recalculated Cockcroft-Gault (GFR-CGc) and the simplified Modification of Diet in Renal Disease (GFR-4VMDRD) formulae. Both estimates of GFR exhibited significant heritabilities, but only GFR-CGc showed significant G x DM interaction. We therefore performed multipoint linkage analyses on both GFR measures using models that did not include G x DM interaction effects (Model 1) and that included G x DM interaction effects (Model 2, in the case of GFR-CGc). RESULTS The strongest evidence for linkage (Model 1) of both GFR-CGc (logarithm of odds [LOD] 2.9) and GFR-4VMDRD (LOD 2.6) occurred between markers D9S922 and D9S1120 on chromosome 9q. However, using Model 2, the strongest evidence for linkage of GFR-CGc on chromosome 2q was found near marker D2S427 (corrected LOD score [LOD(C)] 3.3) compared with the LOD score of 2.7 based on Model 1. Potential linkages (LOD or LOD(C) >or=1.2) were found only for GFR-CGc on chromosomes 3p, 3q, 4p, 8q, 11q, and 14q. CONCLUSIONS We found a major locus on chromosome 2q that differentially influences GFR in diabetic and nondiabetic environments in the Mexican-American population.
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Affiliation(s)
- Sobha Puppala
- Southwest Foundation for Biomedical Research, Department of Genetics, P.O. Box 760549, San Antonio, TX 78254, USA.
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24
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Moon JY, Jeong L, Lee S, Jeong K, Lee T, Ihm CG, Suh J, Kim J, Jung YY, Chung JH. Association of polymorphisms in monocyte chemoattractant protein-1 promoter with diabetic kidney failure in Korean patients with type 2 diabetes mellitus. J Korean Med Sci 2007; 22:810-4. [PMID: 17982227 PMCID: PMC2693845 DOI: 10.3346/jkms.2007.22.5.810] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Monocyte chemoattractant protein-1 (MCP-1) is suggested to be involved in the progression of diabetic nephropathy. We investigated the association of the -2518 A/G polymorphism in the MCP-1 gene with progressive kidney failure in Korean patients with type 2 diabetes mellitus (DM). We investigated -2518 A/G polymorphism of the MCP-1 gene in type 2 DM patients with progressive kidney failure (n=112) compared with matched type 2 DM patients without nephropathy (diabetic control, n=112) and healthy controls (n=230). The overall genotypic distribution of -2518 A/G in the MCP-1 gene was not different in patients with type 2 DM compared to healthy controls. Although the genotype was not significantly different between the patients with kidney failure and the diabetic control (p=0.07), the A allele was more frequent in patients with kidney failure than in DM controls (42.0 vs. 32.1%, p=0.03). The carriage of A allele was significantly associated with kidney failure (68.8 vs. 54.5%, OR 1.84, 95% CI 1.07-3.18). In logistic regression analysis, carriage of A allele retained a significant association with diabetic kidney failure. Our result shows that the -2518 A allele of the MCP-1 gene is associated with kidney failure in Korean patients with type 2 DM.
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Affiliation(s)
- Ju-young Moon
- Department of Nephrology, College of Medicine, Kyunghee University, Seoul, Korea
| | - Laeik Jeong
- Department of Nephrology, College of Medicine, Kyunghee University, Seoul, Korea
| | - Sangho Lee
- Department of Nephrology, College of Medicine, Kyunghee University, Seoul, Korea
| | - Kyunghwan Jeong
- Department of Nephrology, College of Medicine, Kyunghee University, Seoul, Korea
| | - Taewon Lee
- Department of Nephrology, College of Medicine, Kyunghee University, Seoul, Korea
| | - Chun-Gyoo Ihm
- Department of Nephrology, College of Medicine, Kyunghee University, Seoul, Korea
| | - Jungho Suh
- Department of Nephrology, College of Medicine, Kyunghee University, Seoul, Korea
| | - Junghee Kim
- Department of Nephrology, College of Medicine, Kyunghee University, Seoul, Korea
| | - Yoo-yeon Jung
- Department of Nephrology, College of Medicine, Kyunghee University, Seoul, Korea
| | - Joo-Ho Chung
- Department of Pharmacology, College of Medicine, Kyunghee University, Seoul, Korea
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25
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Hwang SJ, Yang Q, Meigs JB, Pearce EN, Fox CS. A genome-wide association for kidney function and endocrine-related traits in the NHLBI's Framingham Heart Study. BMC MEDICAL GENETICS 2007; 8 Suppl 1:S10. [PMID: 17903292 PMCID: PMC1995611 DOI: 10.1186/1471-2350-8-s1-s10] [Citation(s) in RCA: 72] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
BACKGROUND Glomerular filtration rate (GFR) and urinary albumin excretion (UAE) are markers of kidney function that are known to be heritable. Many endocrine conditions have strong familial components. We tested for association between the Affymetrix GeneChip Human Mapping 100K single nucleotide polymorphism (SNP) set and measures of kidney function and endocrine traits. METHODS Genotype information on the Affymetrix GeneChip Human Mapping 100K SNP set was available on 1345 participants. Serum creatinine and cystatin-C (cysC; n = 981) were measured at the seventh examination cycle (1998-2001); GFR (n = 1010) was estimated via the Modification of Diet in Renal Disease (MDRD) equation; UAE was measured on spot urine samples during the sixth examination cycle (1995-1998) and was indexed to urinary creatinine (n = 822). Thyroid stimulating hormone (TSH) was measured at the third and fourth examination cycles (1981-1984; 1984-1987) and mean value of the measurements were used (n = 810). Age-sex-adjusted and multivariable-adjusted residuals for these measurements were used in association with genotype data using generalized estimating equations (GEE) and family-based association tests (FBAT) models. We presented the results for association tests using additive allele model. We evaluated associations with 70,987 SNPs on autosomes with minor allele frequencies of at least 0.10, Hardy-Weinberg Equilibrium p-value > or = 0.001, and call rates of at least 80%. RESULTS The top SNPs associated with these traits using the GEE method were rs2839235 with GFR (p-value 1.6*10(-05)), rs1158167 with cysC (p-value 8.5*10(-09)), rs1712790 with UAE (p-value 1.9*10(-06)), and rs6977660 with TSH (p-value 3.7*10(-06)), respectively. The top SNPs associated with these traits using the FBAT method were rs6434804 with GFR(p-value 2.4*10(-5)), rs563754 with cysC (p-value 4.7*10(-5)), rs1243400 with UAE (p-value 4.8*10(-6)), and rs4128956 with TSH (p-value 3.6*10(-5)), respectively. Detailed association test results can be found at http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007 webcite. Four SNPs in or near the CST3 gene were highly associated with cysC levels (p-value 8.5*10(-09) to 0.007). CONCLUSION Kidney function traits and TSH are associated with SNPs on the Affymetrix GeneChip Human Mapping 100K SNP set. These data will serve as a valuable resource for replication as more SNPs associated with kidney function and endocrine traits are identified.
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Affiliation(s)
- Shih-Jen Hwang
- National Heart Lung and Blood Institutes, Bethesda, MD, USA
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - James B Meigs
- Massachusetts General Hospital and Harvard Medical School , Boston, MA, USA
| | | | - Caroline S Fox
- National Heart Lung and Blood Institutes, Bethesda, MD, USA
- Department of Endocrinology, Diabetes, and Hypertension, the Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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26
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Salzler HR, Griffiths R, Ruiz P, Chi L, Frey C, Marchuk DA, Rockman HA, Le TH. Hypertension and albuminuria in chronic kidney disease mapped to a mouse chromosome 11 locus. Kidney Int 2007; 72:1226-32. [PMID: 17851470 PMCID: PMC7185734 DOI: 10.1038/sj.ki.5002519] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Chronic kidney disease (CKD) is a key cause of hypertension and a potent independent risk for cardiovascular disease. Epidemiological studies suggest a strong genetic component determining susceptibility for renal disease and, by inference, the associated cardiovascular risk. With a subtotal nephrectomy model of kidney disease, we found the 129S6 mouse strain to be very susceptible to the development of hypertension, albuminuria, and kidney injury, whereas the C57BL/6 strain is relatively resistant. Accordingly, we set out to map quantitative trait loci conferring susceptibility to hypertension and albuminuria using this model with F2 mice. We found significant linkage of the blood pressure trait to two loci. At D11Mit143, mice homozygous for the 129S6 allele had significantly higher systolic blood pressure than mice heterozygous or homozygous for the C57BL/6 allele. Similarly, at D1Mit308, there was an excellent correlation between genotype and the blood pressure phenotype. The effect of the chromosome 11 locus was verified with a separate cohort of F2 mice. For the albuminuria trait, a significant locus was found at D11Mit143, which overlaps the blood pressure trait locus. Our studies have identified a region spanning approximately 8 cM on mouse chromosome 11 that is associated with susceptibility to hypertension and albuminuria in CKD.
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Affiliation(s)
- HR Salzler
- Department of Medicine, Duke University, Durham, North Carolina, USA
- Department of Medicine, Durham VA Medical Center, Durham, North Carolina, USA
| | - R Griffiths
- Department of Medicine, Duke University, Durham, North Carolina, USA
- Department of Medicine, Durham VA Medical Center, Durham, North Carolina, USA
| | - P Ruiz
- Department of Pathology, University of Miami, Miami, Florida, USA
| | - L Chi
- Department of Medicine, Duke University, Durham, North Carolina, USA
- Department of Medicine, Durham VA Medical Center, Durham, North Carolina, USA
| | - C Frey
- Department of Medicine, Duke University, Durham, North Carolina, USA
- Department of Medicine, Durham VA Medical Center, Durham, North Carolina, USA
| | - DA Marchuk
- Department of Genetics, Duke University Medical Center, Durham, North Carolina, USA
| | - HA Rockman
- Department of Medicine, Duke University, Durham, North Carolina, USA
| | - TH Le
- Department of Medicine, Duke University, Durham, North Carolina, USA
- Department of Medicine, Durham VA Medical Center, Durham, North Carolina, USA
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27
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Gnudi L, Thomas SM, Viberti G. Mechanical forces in diabetic kidney disease: a trigger for impaired glucose metabolism. J Am Soc Nephrol 2007; 18:2226-32. [PMID: 17634438 DOI: 10.1681/asn.2006121362] [Citation(s) in RCA: 72] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Nephropathy is one of the major microvascular complications of diabetes, and both hemodynamic and metabolic stimuli participate in its development and progression toward ESRD. There is now a greater understanding of the molecular pathways that are activated by high glomerular capillary pressure and hyperglycemia and how they interplay to produce kidney pathology. The observation that overexpression of glucose transporter 1 (GLUT-1) in mesangial cells could induce a "diabetic cellular phenotype" has led to the postulation that the expression of GLUT-1 could be upregulated in glomeruli that are exposed to high pressure. This review suggests a mechanism by which mechanical forces may aggravate a metabolic insult by stimulating excessive cellular glucose uptake. Proposed is the existence of a self-maintaining cycle whereby a hemodynamic stimulus on glomerular cells induces GLUT-1 overexpression followed by greater glucose uptake and activation of intracellular glucose metabolic pathways, resulting in excess TGF-beta1 production. TGF-beta1 in turn, maintains overexpression of GLUT-1, perpetuating a signaling sequence that has, as its ultimate effect, increased extracellular matrix synthesis. This mechanical and metabolic coupling suggests a novel pathophysiologic mechanism of injury in the kidney in diabetes and possibly other glomerular diseases.
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Affiliation(s)
- Luigi Gnudi
- Cardiovascular Division, King's College London, Guy's Hospital, London SE1 9RT, UK.
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28
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Iyengar SK, Abboud HE, Goddard KAB, Saad MF, Adler SG, Arar NH, Bowden DW, Duggirala R, Elston RC, Hanson RL, Ipp E, Kao WHL, Kimmel PL, Klag MJ, Knowler WC, Meoni LA, Nelson RG, Nicholas SB, Pahl MV, Parekh RS, Quade SRE, Rich SS, Rotter JI, Scavini M, Schelling JR, Sedor JR, Sehgal AR, Shah VO, Smith MW, Taylor KD, Winkler CA, Zager PG, Freedman BI. Genome-wide scans for diabetic nephropathy and albuminuria in multiethnic populations: the family investigation of nephropathy and diabetes (FIND). Diabetes 2007; 56:1577-85. [PMID: 17363742 DOI: 10.2337/db06-1154] [Citation(s) in RCA: 123] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The Family Investigation of Nephropathy and Diabetes (FIND) was initiated to map genes underlying susceptibility to diabetic nephropathy. A total of 11 centers participated under a single collection protocol to recruit large numbers of diabetic sibling pairs concordant and discordant for diabetic nephropathy. We report the findings from the first-phase genetic analyses in 1,227 participants from 378 pedigrees of European-American, African-American, Mexican-American, and American Indian descent recruited from eight centers. Model-free linkage analyses, using a dichotomous definition for diabetic nephropathy in 397 sibling pairs, as well as the quantitative trait urinary albumin-to-creatinine ratio (ACR), were performed using the Haseman-Elston linkage test on 404 microsatellite markers. The strongest evidence of linkage to the diabetic nephropathy trait was on chromosomes 7q21.3, 10p15.3, 14q23.1, and 18q22.3. In ACR (883 diabetic sibling pairs), the strongest linkage signals were on chromosomes 2q14.1, 7q21.1, and 15q26.3. These results confirm regions of linkage to diabetic nephropathy on chromosomes 7q, 10p, and 18q from prior reports, making it important that genes underlying these peaks be evaluated for their contribution to nephropathy susceptibility. Large family collections consisting of multiple members with diabetes and advanced nephropathy are likely to accelerate the identification of genes causing diabetic nephropathy, a life-threatening complication of diabetes.
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Affiliation(s)
- Sudha K Iyengar
- FIND-Genetic Analysis and Data Coordinating Center, Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio 44106-7281, USA.
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Iyengar SK, Freedman BI, Sedor JR. Mining the genome for susceptibility to diabetic nephropathy: the role of large-scale studies and consortia. Semin Nephrol 2007; 27:208-22. [PMID: 17418689 DOI: 10.1016/j.semnephrol.2007.01.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Approximately 30% of individuals with type 1 and type 2 diabetes develop persistent albuminuria, lose renal function, and are at increased risk for cardiovascular and other microvascular complications. Diabetes and kidney diseases rank within the top 10 causes of death in Westernized countries and cause significant morbidity. Given these observations, genetic, genomic, and proteomic investigations have been initiated to better define basic mechanisms for disease initiation and progression, to identify individuals at risk for diabetic complications, and to develop more efficacious therapies. In this review we have focused on linkage analyses of candidate genes or chromosomal regions, or coarse genome-wide scans, which have mapped either categorical (chronic kidney disease or end-stage renal disease) or quantitative kidney traits (albuminuria/proteinuria or glomerular filtration rate). Most loci identified to date have not been replicated, however, several linked chromosomal regions are concordant between independent samples, suggesting the presence of a diabetic nephropathy gene. Two genes, carnosinase (CNDP1) on 18q, and engulfment and cell motility 1 (ELMO1) on 7p14, have been identified as diabetic nephropathy susceptibility genes, but these results require authentication. The availability of patient data sets with large sample sizes, improvements in informatics, genotyping technology, and statistical methodologies should accelerate the discovery of valid diabetic nephropathy susceptibility genes.
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Affiliation(s)
- Sudha K Iyengar
- Department of Epidemiology and Biostatistics, Case Western Reserve University, 2103 Cornell Road, Cleveland, OH 44106, USA.
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30
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Arar N, Nath S, Thameem F, Bauer R, Voruganti S, Comuzzie A, Cole S, Blangero J, MacCluer J, Abboud H. Genome-wide scans for microalbuminuria in Mexican Americans: the San Antonio Family Heart Study. Genet Med 2007; 9:80-7. [PMID: 17304049 DOI: 10.1097/gim.0b013e31803068ec] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
PURPOSE Microalbuminuria, defined as urine albumin-to-creatinine ratio of 0.03 to 0.299 mg/mg, is a major risk factor for cardiovascular disease. Several genetic epidemiological studies have established that microalbuminuria clusters in families, suggesting a genetic predisposition. METHOD We estimated heritability of microalbuminuria and performed a genome-wide linkage analysis to identify chromosomal regions influencing urine albumin-to-creatinine ratio in 486 Mexican Americans from 26 multiplex families. RESULTS Significant heritability was demonstrated for urine albumin-to-creatinine ratio (h = 24%, P < 0.003) after accounting for age, sex, body mass index, triglycerides, and hypertension. Genome scan revealed significant evidence of linkage of urine albumin-to-creatinine ratio to a region on chromosome 20q12 (LOD score of 3.5, P < 0.001) near marker D20S481. This region also exhibited a LOD score of 2.8 with diabetes status as a covariate and 3.0 with hypertension status as a covariate suggesting that the effect of this locus on urine albumin-to-creatinine ratio is largely independent of diabetes and hypertension. CONCLUSION Findings indicate that there is a gene or genes located on human chromosome 20q12 that may have functional relevance to albumin excretion in Mexican Americans. Identifying and understanding the role of the genes that determine albumin excretion would lead to the development of novel therapeutic strategies targeted at high-risk individuals in whom intensive preventive measures may be most beneficial.
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Affiliation(s)
- Nedal Arar
- Department of Medicine/Nephrology, University of Texas Health Science Center at San Antonio, South Texas Veterans Health Care System, 78229-4404, USA.
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31
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Placha G, Poznik GD, Dunn J, Smiles A, Krolewski B, Glew T, Puppala S, Schneider J, Rogus JJ, Rich SS, Duggirala R, Warram JH, Krolewski AS. A genome-wide linkage scan for genes controlling variation in renal function estimated by serum cystatin C levels in extended families with type 2 diabetes. Diabetes 2006; 55:3358-65. [PMID: 17130480 DOI: 10.2337/db06-0781] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
We performed a variance components linkage analysis of renal function, measured as glomerular filtration rate (GFR), in 63 extended families with multiple members with type 2 diabetes. GFR was estimated from serum concentrations of cystatin C and creatinine in 406 diabetic and 428 nondiabetic relatives. Results for cystatin C were summarized because they are superior to creatinine results. GFR aggregates in families with significant heritability (h(2)) in diabetic (h(2) = 0.45, P < 1 x 10(-5)) and nondiabetic (h(2) = 0.36, P < 1 x 10(-3)) relatives. Genetic correlation (r(G) = 0.35) between the GFR of diabetic and nondiabetic relatives was less than one (P = 0.01), suggesting that genes controlling GFR variation in these groups are different. Linkage results supported this interpretation. In diabetic relatives, linkage was strong on chromosome 2q (logarithm of odds [LOD] = 4.1) and suggestive on 10q (LOD = 3.1) and 18p (LOD = 2.2). In nondiabetic relatives, linkage was suggestive on 3q (LOD = 2.2) and 11p (LOD = 2.1). When diabetic and nondiabetic relatives were combined, strong evidence for linkage was found only on 7p (LOD = 4.0). In conclusion, partially distinct sets of genes control GFR variation in relatives with and without diabetes on chromosome 2q, possibly on 10q and 18p in the former, and on 7p in both. None of these genes overlaps with genes controlling variation in urinary albumin excretion.
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MESH Headings
- Adult
- Age of Onset
- Aged
- Chromosome Mapping
- Chromosomes, Human, Pair 10
- Chromosomes, Human, Pair 18
- Chromosomes, Human, Pair 2
- Chromosomes, Human, Pair 7
- Cystatin C
- Cystatins/blood
- Cystatins/genetics
- DNA/genetics
- DNA/isolation & purification
- Diabetes Mellitus, Type 2/blood
- Diabetes Mellitus, Type 2/genetics
- Diabetes Mellitus, Type 2/physiopathology
- Family
- Genetic Variation
- Genome, Human
- Genotype
- Glomerular Filtration Rate
- Humans
- Kidney Function Tests
- Middle Aged
- Reference Values
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Affiliation(s)
- Grzegorz Placha
- Section on Genetics and Epidemiology, Joslin Diabetes Center, One Joslin Place, Boston, MA 02215, USA
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Abstract
PURPOSE OF REVIEW Advances in mouse genetics have made this species particularly useful as a model for human disease. This review will summarize recent advances regarding the pathogenesis of diabetic nephropathy discovered in mice. RECENT FINDINGS Diabetic nephropathy has been characterized in novel genetic models of murine diabetes including the Akita, Ove26, and ICER-Igamma mice. Mutagenesis resources targeting every gene of the genome and the importance of inbred genetic background are discussed. SUMMARY Through the use of these resources mouse models should provide new insight into the pathogenesis of diabetic nephropathy, and complement human studies and validate the identity of candidate genes contributing to diabetic nephropathy.
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Affiliation(s)
- Matthew D Breyer
- Division of Nephrology, Department of Medicine and Department of Molecular Physiology and Biophysics, Vanderbilt University, and Veterans Administration Medical Center, Nashville, Tennessee 3723, USA.
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Freedman BI, Bowden DW, Sale MM, Langefeld CD, Rich SS. Genetic susceptibility contributes to renal and cardiovascular complications of type 2 diabetes mellitus. Hypertension 2006; 48:8-13. [PMID: 16735643 DOI: 10.1161/01.hyp.0000227047.26988.3e] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Barry I Freedman
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157-1053, USA.
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34
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López B, Ryan RP, Moreno C, Sarkis A, Lazar J, Provoost AP, Jacob HJ, Roman RJ. Identification of a QTL on chromosome 1 for impaired autoregulation of RBF in fawn-hooded hypertensive rats. Am J Physiol Renal Physiol 2006; 290:F1213-21. [PMID: 16303858 DOI: 10.1152/ajprenal.00335.2005] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The present study evaluated whether the impairment in autoregulation of renal blood flow (RBF) in the fawn-hooded Hypertensive (FHH) rat colocalizes with the Rf-1 region on chromosome 1 that has been previously linked to the development of proteinuria in this strain. Autoregulation of RBF was measured in FHH and a consomic strain (FHH.1BN) in which chromosome 1 from the Brown-Norway (BN) rat was introgressed into the FHH genetic background. The autoregulation indexes (AI) averaged 0.80 ± 0.08 in the FHH and 0.19 ± 0.05 in the FHH.1BNrats. We next performed a genetic linkage analysis for autoregulation of RBF in 85 F2 rats generated from a backcross of FHH.1BNconsomic and FHH rats. The results revealed a significant quantitative trait locus (QTL) with a peak logarithm of the odds score of 6.3 near marker D1Rat376. To confirm the existence of this QTL, five overlapping congenic strains were created that spanned the region from markers D1Rat234 to D1Mit14. Transfer of a region of BN chromosome 1 from markers D1Mgh13 to D1Rat89 into the FHH genetic background improved autoregulation of RBF (AI = 0.23 ± 0.04) and reduced protein excretion. In contrast, RBF was poorly autoregulated and the rats were not protected from proteinuria in congenic strains in which other regions of chromosome 1 that exclude the D1Rat376 marker were transferred. These results indicate that there is a gene(s) that influences autoregulation of RBF and proteinuria between markers D1Mgh13 and D1Rat89 on chromosome 1 that lies within the confidence interval of the Rf-1 QTL previously linked to the development of proteinuria in FHH rats.
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Affiliation(s)
- Bernardo López
- Dept. of Physiology, Medical College of Wisconsin, 8701 Watertown Plank Rd., Milwaukee, WI 53226, USA
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Lee SH, Lee TW, Ihm CG, Kim MJ, Woo JT, Chung JH. Genetics of diabetic nephropathy in type 2 DM: candidate gene analysis for the pathogenic role of inflammation. Nephrology (Carlton) 2006; 10 Suppl:S32-6. [PMID: 16174285 DOI: 10.1111/j.1440-1797.2005.00454.x] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Hypertension, poor glycemic control and albuminuria are well known risk factors for diabetic nephropathy, but these factors do not explain all of the inter-individual variabilities in the rate of progression to kidney failure. Recent evidence showed that genetic predisposition affected the hyperglycemia-induced nephrotoxicity in patients with type 2 diabetes mellitus (DM). We reviewed the present state of knowledge concerning the relationship between genetics and diabetic nephropathy in type 2 DM. However, the results are inconclusive and the genetic determinants of diabetic nephropathy are not fully understood. In addition, genetic background of nephropathy in type 2 DM was thought to be more complex than in type 1 DM. Recent studies suggested that the inflammation would be an essential component of type 2 DM and its complications. We postulated that increased systemic and/or intrarenal inflammation in high glucose milieu is important in the pathogenesis of nephropathy in patients with type 2 DM. To investigate the impact of inflammation on diabetic nephropathy, we studied several polymorphisms in genes encoding inflammatory cytokine and chemokine in patients with type 2 DM. Among them, -511 C/T in interleukin-1beta (IL-1beta), tandem repeat in IL-1 receptor antagonist (IL-1Ra), -308 G/A in tumour necrosis factor-alpha (TNF-alpha) were significantly associated with an increased risk of kidney failure. In addition, some of them were remarkably different from those previously reported in the NCBI or literature based on the western population. Our results suggest that inflammation could play a pathogenic role in diabetic nephropathy in type 2 DM. A better understanding of genetic factors predisposing to diabetic nephropathy would not only help to identify diabetic patients at risk, but also be helpful to unveil the pathogenesis of DN.
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Affiliation(s)
- Sang-Ho Lee
- Department of Nephrology, College of Medicine, Kyung-Hee University, Dongdaemun-Gu, Seoul, Korea.
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Ewens KG, George RA, Sharma K, Ziyadeh FN, Spielman RS. Assessment of 115 candidate genes for diabetic nephropathy by transmission/disequilibrium test. Diabetes 2005; 54:3305-18. [PMID: 16249459 DOI: 10.2337/diabetes.54.11.3305] [Citation(s) in RCA: 91] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Several lines of evidence, including familial aggregation, suggest that allelic variation contributes to risk of diabetic nephropathy. To assess the evidence for specific susceptibility genes, we used the transmission/disequilibrium test (TDT) to analyze 115 candidate genes for linkage and association with diabetic nephropathy. A comprehensive survey of this sort has not been undertaken before. Single nucleotide polymorphisms and simple tandem repeat polymorphisms located within 10 kb of the candidate genes were genotyped in a total of 72 type 1 diabetic families of European descent. All families had at least one offspring with diabetes and end-stage renal disease or proteinuria. As a consequence of the large number of statistical tests and modest P values, findings for some genes may be false-positives. Furthermore, the small sample size resulted in limited power, so the effects of some tested genes may not be detectable, even if they contribute to susceptibility. Nevertheless, nominally significant TDT results (P < 0.05) were obtained with polymorphisms in 20 genes, including 12 that have not been studied previously: aquaporin 1; B-cell leukemia/lymphoma 2 (bcl-2) proto-oncogene; catalase; glutathione peroxidase 1; IGF1; laminin alpha 4; laminin, gamma 1; SMAD, mothers against DPP homolog 3; transforming growth factor, beta receptor II; transforming growth factor, beta receptor III; tissue inhibitor of metalloproteinase 3; and upstream transcription factor 1. In addition, our results provide modest support for a number of candidate genes previously studied by others.
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Affiliation(s)
- Kathryn Gogolin Ewens
- Department of Genetics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104-6145, USA
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Salinas I, Romero R. Hipercolesterolemia y nefropatía diabética, una asociación multifactorial. Med Clin (Barc) 2005; 125:415-6. [PMID: 16216187 DOI: 10.1157/13079392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Van Dijk SJ, Specht PAC, Lazar J, Jacob HJ, Provoost AP. Renal Damage Susceptibility and Autoregulation in Rf-1 and Rf-5 Congenic Rats. ACTA ACUST UNITED AC 2005; 101:e59-66. [PMID: 15976509 DOI: 10.1159/000086417] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2005] [Accepted: 03/04/2005] [Indexed: 11/19/2022]
Abstract
BACKGROUND Linkage analyses of crosses of rats susceptible to renal damage, fawn-hooded hypertensive (FHH), and those resistant to kidney damage, August x Copenhagen Irish (ACI), indicated that five quantitative trait loci (QTLs), Rf-1 to Rf-5, influence proteinuria (UPV), albuminuria (UAV) and focal glomerulosclerosis (FGS). Here we present data obtained in congenic rats to directly assess the role of the Rf-1 and Rf-5 QTLs. METHODS Renal damage (UPV, UAV, and FGS) was assessed in ACI, ACI.FHH-(D1Rat324-D1Rat156)(Rf-1B), and ACI.FHH-(D17Rat117-D17Arb5)(D17Rat180-D17Rat51) (Rf-5) congenic rats in the two-kidney (2K) control situation, and following L-NAME-induced hypertension, unilateral nephrectomy (UNX), and UNX combined with L-NAME. In addition we investigated renal blood flow (RBF) autoregulation in 2K congenic and parental ACI and FHH rats. RESULTS Compared to ACI, Rf-1B congenic rats showed a significant increase in susceptibility to renal damage after all three treatments. The increase was most pronounced after UNX with L-NAME. In contrast, the degree of renal damage in Rf-5 congenic rats was not different from the ACI. Like FHH, Rf-1B rats had impaired renal autoregulation. In contrast, RBF autoregulation of Rf-5 rats does not differ from ACI. CONCLUSION The Rf-5 QTL does not show any direct effect. The Rf-1 QTL carries one or more genes impairing renal autoregulation and influencing renal damage susceptibility. Whether these are the same genes remains to be established.
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Affiliation(s)
- Sabine J Van Dijk
- Department of Pediatric Surgery, Erasmus Medical Center, Rotterdam, The Netherlands.
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Fox CS, Yang Q, Guo CY, Cupples LA, Wilson PWF, Levy D, Meigs JB. Genome-wide linkage analysis to urinary microalbuminuria in a community-based sample: the Framingham Heart Study. Kidney Int 2005; 67:70-4. [PMID: 15610229 DOI: 10.1111/j.1523-1755.2005.00056.x] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
INTRODUCTION Microalbuminuria is a powerful risk factor for cardiovascular disease. It is not known whether genetic factors play a role in the expression of microalbuminuria in population-based samples. METHODS Genome-wide variance components linkage-analysis using 401 markers spaced at approximately 10 cM was performed on subjects from 330 extended families of the Framingham Heart Study; a subanalysis was performed on families enriched for hypertension. Urinary microalbumin was indexed to urinary creatinine [urine albumin/creatinine ratio (UACR)] and was log-transformed for analysis. Residuals of log-transformed UACR adjusted for age, gender, body mass index, diabetes, systolic blood pressure, hypertension treatment, smoking, and serum creatinine were used in the linkage analysis. RESULTS Among 1055 subjects (52% women), mean age 56 years, median UACR was 5.8 mg/g (11% >30 mg/g). The unadjusted heritability for UACR was 0.20; after multivariable adjustment, heritability was 0.16. The peak multivariable-adjusted multipoint logarithm of odds (LOD) score was 2.22 on chromosome 8 at 135 cM (marker D8S1179); one LOD support interval = 129 - 145 cM. In the subanalysis in families enriched for hypertension (N= 676), the peak multivariable-adjusted LOD score of 2.11 was observed at the same location. CONCLUSION We found suggestive linkage to urinary microalbumin on chromosome 8. At least one potential candidate gene implicated in the pathogenesis of nephropathy (HAS2) lies in this region. Further research is warranted to understand the genetic basis of microalbuminuria.
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Affiliation(s)
- Caroline S Fox
- National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, USA.
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Abstract
Despite more aggressive treatment of diabetes, hypertension, and hyperlipidemia, the incidence and prevalence rates of end-stage renal disease (ESRD) continue to increase worldwide. The likelihood of developing chronic kidney disease in an individual is determined by interactions between genes and the environment. Familial clustering of nephropathy has repeatedly been observed in all population groups studied and for multiple etiologies of kidney disease. A three- to nine-fold greater risk of ESRD is observed in individuals with a family history of ESRD. Marked racial variation in the familial aggregation of kidney disease exists, with high rates in African American, Native American, and Hispanic American families. Disparate etiologies of nephropathy aggregate within African American families, as well. These data have led several investigators to search for genes linked to diabetic and other forms of nephropathy. Evidence for linkage to kidney disease has been detected and replicated at several loci on chromosomes 3q (types 1 and 2 diabetic nephropathy), 10q (diabetic and nondiabetic kidney disease), and 18q (type 2 diabetic nephropathy). Multicenter consortia are currently recruiting large numbers of multiplex diabetic families with index cases having nephropathy for linkage and association analyses. In addition, large-scale screening studies are underway, with the goals of better defining the overall prevalence of chronic kidney disease, as well as educating the population about risk factors for nephropathy, including family history. Given the overwhelming burden of kidney disease worldwide, it is imperative that we develop a clearer understanding of the pathogenesis of nephropathy so that individuals at risk can be identified and treated at earlier, potentially reversible, stages of their illness.
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Affiliation(s)
- Scott G Satko
- Department of Internal Medicine/Nephrology, Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157, USA.
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Abstract
This article reviews the familial aggregation of chronic kidney diseases including end-stage renal disease and albuminuria, along with variation in glomerular filtration rate. In addition to environmental influences on the progression of nephropathy, epidemiologic evidence in support of the existence of renal failure susceptibility genes is presented.
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Affiliation(s)
- Scott G Satko
- Section on Nephrology, Wake Forest University School of Medicine, Winston-Salem, NC 27157-1053, USA.
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Constantiner M, Sehgal AR, Humbert L, Constantiner D, Arce L, Sedor JR, Schelling JR. A Dipstick Protein and Specific Gravity Algorithm Accurately Predicts Pathological Proteinuria. Am J Kidney Dis 2005; 45:833-41. [PMID: 15861348 DOI: 10.1053/j.ajkd.2005.02.012] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND The proper strategy to screen for early chronic kidney disease is debatable, but protein-creatinine ratio from a random urine sample (UPC) commonly is used. The purpose is to determine whether dipstick data effectively identify patients with increased UPC ratios. Because urine concentration affects proteinuria interpretation, we hypothesized that dipstick protein (DSP) and specific gravity (SG) are sufficient for screening. METHODS A hospital laboratory database was searched for urine samples simultaneously assayed for UPC ratio, DSP, and SG (n = 2,098). A random 70% of the cohort was used to generate a development model, which was validated in the remaining 30%. Samples were stratified according to DSP and SG values. A DSP versus SG matrix was created, and each sample was allocated to a discrete DSP-SG category. Proportions of samples with overt (UPC ratio > or = 500 mg/g) and nephrotic-range proteinuria (UPC ratio > or = 3,000 mg/g) were calculated for all 40 cells. RESULTS Optimum correlations between DSP-SG cells and UPC ratios were determined for the development model, yielding 97.0% negative predictive value (NPV) for a UPC ratio of 500 mg/g or less and 97.5% positive predictive value (PPV) for a UPC ratio of 500 mg/g or greater. NPV for a UPC ratio of 3,000 mg/g or less was 99.7%. Application of the model to the validation sample showed a 96.5% NPV for a UPC ratio of 500 mg/g or less, 99.4% PPV for a UPC ratio of 500 mg/g or greater, and 99.0% NPV for a UPC ratio of 3,000 mg/g or less. CONCLUSION DSP and SG values effectively identify patients requiring proteinuria quantification by means of UPC ratio. A Web-based tool was developed that allows DSP and SG value entry and provides a recommendation regarding the need for proteinuria quantification.
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Affiliation(s)
- Marigel Constantiner
- Center for Kidney Disease Research, Rammelkamp Center for Education and Research, Cleveland, OH, USA
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Affiliation(s)
- Sharon Adler
- Harbor-UCLA Medical Center, Division of Nephrology and Hypertension, Torrance, California, USA
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Abstract
Familial aggregation of common chronic kidney diseases provides a unique opportunity to investigate the susceptibility genetic and environmental factors. In the past decade, a wealth of new data has become available concerning the genetic susceptibility leading to numerous nephropathies. Knowledge of the genetic components allows better understanding of initiation and progression of these chronic kidney diseases. In addition, one can envision that identification of genetically susceptible individuals might lead to earlier diagnosis and potential reversal of the current epidemic of end-stage renal disease. The goal of the current discussion is to review various issues pertaining to the role of genetic factors in common chronic kidney diseases, as exemplified by two leading causes of end-stage renal diseases worldwide, nephropathy of type 2 diabetes and IgA nephropathy. The genetic and environmental interplay leading to the nephropathies is highlighted.
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Affiliation(s)
- Kai Ming Chow
- Division of Nephrology, Department of Medicine and Therapeutics, Prince of Wales Hospital, Chinese University of Hong Kong, Shatin, Hong Kong, China
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Placha G, Canani LH, Warram JH, Krolewski AS. Evidence for different susceptibility genes for proteinuria and ESRD in type 2 diabetes. Adv Chronic Kidney Dis 2005; 12:155-69. [PMID: 15822051 DOI: 10.1053/j.ackd.2005.02.002] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Proteinuria and impaired kidney function are 2 major traits of diabetic nephropathy that aggregate (are heritable) in families of diabetic individuals. Although both traits are heritable, they are not genetically correlated. These findings not only support the hypothesis that the development of diabetic nephropathy consists of 2 distinct disease processes (ie, increasing proteinuria and declining kidney function) but also strongly justify searches for the putative genes that separately determine variation in these processes. These searches have used both genome-wide scans and candidate-gene approaches. By use of genome-scan approaches, several research groups have identified genetic regions on chromosomes 7q, 18q, and 22q that harbor genes that determine either variation in urinary albumin excretion or susceptibility to proteinuria in families who have type 2 diabetes. The evidence for linkage in these 3 genetic regions was suggestive or strong, but, except for 7q, the regions did not overlap across studies. Two genome scans performed in families who have type 2 diabetes identified genetic regions on chromosome 3q, 6q, 7p, and 18q that harbor susceptibility genes that determine variation in glomerular filtration rate or susceptibility to the development of end-stage renal disease (ESRD). The region on 7p overlapped in both studies. Optimism is growing that a positional cloning approach applied to these putative genetic regions will lead to the isolation of the susceptibility genes for proteinuria and ESRD. Meanwhile, significant efforts that make use of the candidate-gene approach have been directed to the search for susceptibility genes for diabetic nephropathy. Unfortunately, positive findings have not been consistent.
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Affiliation(s)
- Grzegorz Placha
- Research Division, Joslin Diabetes Center and Department of Medicine, Harvard Medical School, Boston, MA 02215, USA
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Breyer MD, Böttinger E, Brosius FC, Coffman TM, Fogo A, Harris RC, Heilig CW, Sharma K. Diabetic nephropathy: of mice and men. Adv Chronic Kidney Dis 2005; 12:128-45. [PMID: 15822049 DOI: 10.1053/j.ackd.2005.01.004] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Accumulating evidence supports intrinsic genetic susceptibility as an important variable in the progression of diabetic nephropathy in people. Mice provide an experimental platform of unparalleled power for dissecting the genetics of mammalian diseases; however, phenotypic analysis of diabetic mice lags behind that already established for humans. Standardized benchmarks of hyperglycemia, albuminuria, and measurements of renal failure remain to be developed for different inbred strains of mice. The most glaring deficiency has been the lack of a diabetic mouse model that develops progressively worsening renal insufficiency, the sine qua non of diabetic nephropathy in humans. Differences in susceptibility of these inbred strains to complications of diabetes mellitus provide a possible avenue to dissect the genetic basis of diabetic nephropathy; however, the identification of those strains and/or mutants most susceptible to renal injury from diabetes mellitus is lacking. Identification of a mouse model that faithfully mirrors the pathogenesis of DN in humans will undoubtedly facilitate the development of new diagnostic and therapeutic interventions.
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Affiliation(s)
- Matthew D Breyer
- Vanderbilt University and VA Medical Center, Nashville, TN 37232, USA.
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Zintzaras E, Stefanidis I. Association between the GLUT1 gene polymorphism and the risk of diabetic nephropathy: a meta-analysis. J Hum Genet 2005; 50:84-91. [PMID: 15682272 DOI: 10.1007/s10038-004-0224-6] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2004] [Accepted: 11/29/2004] [Indexed: 12/13/2022]
Abstract
The association between diabetic nephropathy (DN) and the XbalphaI polymorphism in the GLUT1 gene has been investigated in several case-control studies. These studies rendered contradictory results: the allele XbalphaI(-) was shown either to be a risk factor or neutral, or even protective for the development of the disease. To shed some light on these inconclusive findings, a meta-analysis of all available studies relating the XbalphaI polymorphism to the risk of developing DN was conducted. Five out of six identified studies included Caucasian populations, and only one involved samples from an Asian population. Overall, the meta-analysis suggested large heterogeneity between studies (P<0.01, I2=68%) and lack of association between allele XbalphaI(-) and the risk of developing DN relative to allele XbalphaI(+): random effects odds ratio (OR)=1.26 [95% CI (0.93, 1.69)]. Excluding one study with the controls not in Hardy-Weinberg equilibrium, the sensitivity analysis revealed that heterogeneity (P=0.28, I2=21%) could be explained, and then, there is an overall association: fixed effects OR=1.34 [95% CI (1.13, 1.60)]. Then, significant ORs were also found on analysis of subgroups: for the Caucasian population, fixed effects OR=1.29 [95% CI (1.08, 1.56)] and for the type 2 diabetic patients fixed effects OR=1.69 [95% CI (1.09, 2.63)]. In type 1 diabetes, there is a moderate heterogeneity (P=0.19, I2=41%) with fixed effects OR=1.29 [95% CI (1.06, 1.56)] and random effects OR=1.32 [95% CI (1.01, 1.71)]. There is a source of bias in the selected studies: large studies failed to show association while small studies claimed an association. Although there is evidence of association between GLUT1 and DN, the above findings reinforce the need for further and more rigorous association studies.
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Affiliation(s)
- Elias Zintzaras
- Department of Biomathematics, University of Thessaly School of Medicine, Papakyriazy 22, Larissa, 41222, Greece.
| | - Ioannis Stefanidis
- Division of Nephrology, University Hospital of Larissa, University of Thessaly School of Medicine, Papakyriazy 22, Larissa, 41222, Greece
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Benigni A, Gagliardini E, Remuzzi G. Changes in glomerular perm-selectivity induced by angiotensin II imply podocyte dysfunction and slit diaphragm protein rearrangement. Semin Nephrol 2004; 24:131-40. [PMID: 15017525 DOI: 10.1016/j.semnephrol.2003.11.005] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Molecular mechanisms governing the loss of glomerular membrane perm selectivity during progression of proteinuric kidney diseases are so far poorly defined. Discovery of the proteins of the podocyte slit diaphragm, including the nephrin-CD2AP-podocin complex, has represented a major breakthrough in understanding the crucial role of the glomerular epithelial layer in the pathogenesis of proteinuria in human congenital disorders. A number of studies have tried to address the role of nephrin in acquired proteinuric disorders with conflicting results. In human diabetic nephropathy a defect of nephrin gene and protein expression has been consistently reported, which translates in profound changes of filtration slit ultrastructural architecture. The exclusive effect of angiotensin II inhibitors of restoring deficient nephrin expression in proteinuric diseases underlines a close interaction between angiotensin II and podocyte proteins and indicates a fresh way to look at the renoprotective properties of these molecules.
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Affiliation(s)
- Ariela Benigni
- Mario Negri Institute for Pharmacological Research, Bergamo, Italy
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Abstract
PURPOSE OF REVIEW Family history of end-stage renal disease is an important risk factor for the subsequent development of nephropathy. Multiply-affected families with members demonstrating end-stage renal disease often contain individuals with disparate etiologies of renal disease. These observations have led to the search for nephropathy susceptibility genes. RECENT FINDINGS Genetic loci associated with susceptibility to diabetic (3q, 18q22.3-23) and non-diabetic nephropathy (chromosome 10) have been identified. A mutation in the uromodulin gene (16p11-13) has recently been linked to medullary cystic kidney disease type 2 and familial juvenile hyperuricemic nephropathy. Familial focal segmental glomerulosclerosis is linked to the 1q25-31, 11q21-22, and 19q13 loci in different families. Several research groups are evaluating family members of individuals with nephropathy in an attempt to uncover previously undiagnosed cases of renal disease. SUMMARY Family members of individuals with chronic kidney disease are disproportionately affected with unrecognized and asymptomatic nephropathy. Screening of these high-risk relatives for early nephropathy, and for risk factors for nephropathy, will probably lead to successful treatment for nephropathy and slow the growing worldwide epidemic of end-stage renal disease.
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Affiliation(s)
- Scott G Satko
- Department of Internal Medicine/Nephrology, Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157-1053, USA.
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