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Conserva F, Gesualdo L, Papale M. A Systems Biology Overview on Human Diabetic Nephropathy: From Genetic Susceptibility to Post-Transcriptional and Post-Translational Modifications. J Diabetes Res 2016; 2016:7934504. [PMID: 26798653 PMCID: PMC4698547 DOI: 10.1155/2016/7934504] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Revised: 08/16/2015] [Accepted: 09/10/2015] [Indexed: 12/19/2022] Open
Abstract
Diabetic nephropathy (DN), a microvascular complication occurring in approximately 20-40% of patients with type 2 diabetes mellitus (T2DM), is characterized by the progressive impairment of glomerular filtration and the development of Kimmelstiel-Wilson lesions leading to end-stage renal failure (ESRD). The causes and molecular mechanisms mediating the onset of T2DM chronic complications are yet sketchy and it is not clear why disease progression occurs only in some patients. We performed a systematic analysis of the most relevant studies investigating genetic susceptibility and specific transcriptomic, epigenetic, proteomic, and metabolomic patterns in order to summarize the most significant traits associated with the disease onset and progression. The picture that emerges is complex and fascinating as it includes the regulation/dysregulation of numerous biological processes, converging toward the activation of inflammatory processes, oxidative stress, remodeling of cellular function and morphology, and disturbance of metabolic pathways. The growing interest in the characterization of protein post-translational modifications and the importance of handling large datasets using a systems biology approach are also discussed.
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Affiliation(s)
- Francesca Conserva
- Division of Nephrology, Department of Emergency and Organ Transplantation, University of Bari, 70124 Bari, Italy
- Division of Cardiology and Cardiac Rehabilitation, “S. Maugeri” Foundation, IRCCS, Institute of Cassano Murge, 70020 Cassano delle Murge, Italy
| | - Loreto Gesualdo
- Division of Nephrology, Department of Emergency and Organ Transplantation, University of Bari, 70124 Bari, Italy
- *Loreto Gesualdo:
| | - Massimo Papale
- Molecular Medicine Center, Section of Nephrology, Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy
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Marcelino-Rodríguez I, Elosua R, Pérez MDCR, Fernández-Bergés D, Guembe MJ, Alonso TV, Félix FJ, González DA, Ortiz-Marrón H, Rigo F, Lapetra J, Gavrila D, Segura A, Fitó M, Peñafiel J, Marrugat J, de León AC. On the problem of type 2 diabetes-related mortality in the Canary Islands, Spain. The DARIOS Study. Diabetes Res Clin Pract 2016; 111:74-82. [PMID: 26546396 DOI: 10.1016/j.diabres.2015.10.024] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2015] [Revised: 09/21/2015] [Accepted: 10/05/2015] [Indexed: 01/21/2023]
Abstract
AIMS To compare diabetes-related mortality rates and factors associated with this disease in the Canary Islands compared with other 10 Spanish regions. METHODS In a cross-sectional study of 28,887 participants aged 35-74 years in Spain, data were obtained for diabetes, hypertension, dyslipidemia, obesity, insulin resistance (IR), and metabolic syndrome. Healthcare was measured as awareness, treatment and control of diabetes, dyslipidemia, and hypertension. Standardized mortality rate ratios (SRR) were calculated for the years 1981 to 2011 in the same regions. RESULTS Diabetes, obesity, and hypertension were more prevalent in people under the age of 64 in the Canary Islands than in Spain. For all ages, metabolic syndrome and insulin resistance (IR) were also more prevalent in those from the Canary Islands. Healthcare parameters were similar in those from the Canary Islands and the rest of Spain. Diabetes-related mortality in the Canary Islands was the highest in Spain since 1981; the maximum SRR was reached in 2011 in men (6.3 versus the region of Madrid; p<0.001) and women (9.5 versus Madrid; p<0.001). Excess mortality was prevalent from the age of 45 years and above. CONCLUSIONS Diabetes-related mortality is higher in the Canary Islands population than in any other Spanish region. The high mortality and prevalence of IR warrants investigation of the genetic background associated with a higher incidence and poor prognosis for diabetes in this population. The rise in SRR calls for a rapid public health policy response.
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Affiliation(s)
- Itahisa Marcelino-Rodríguez
- Unidad de Investigación de Atención Primaria y del Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, España; Red de Investigación Cardiovascular del Instituto Carlos III Institute de Salud, Madrid, España
| | - Roberto Elosua
- Red de Investigación Cardiovascular del Instituto Carlos III Institute de Salud, Madrid, España; Grupo de Epidemiología y Genética Cardiovascular, Programa de Investigación en Procesos Inflamatorios y Cardiovasculares, IMIM, Barcelona, España; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, España
| | - María del Cristo Rodríguez Pérez
- Unidad de Investigación de Atención Primaria y del Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, España; Red de Investigación Cardiovascular del Instituto Carlos III Institute de Salud, Madrid, España
| | - Daniel Fernández-Bergés
- Unidad de Investigación Don Benito Villanueva, Programa de Investigación Cardiovascular, Fundesalud, Gerencia Área Sanitaria Don Benito-Villanueva, Badajoz, España
| | - María Jesús Guembe
- Servicio de Docencia y Desarrollo Sanitarios, Grupo de Investigación Riesgo Vascular en Navarra (RIVANA), Departamento de Salud, Gobierno de Navarra, Pamplona, España
| | - Tomás Vega Alonso
- Dirección General de Salud Pública e Investigación Desarrollo e Innovación, Consejería de Sanidad de la Junta de Castilla y León, Valladolid, España
| | - Francisco Javier Félix
- Centro de Salud Villanueva Norte, Servicio Extremeño de Salud, Villanueva de la Serena, Badajoz, España
| | - Delia Almeida González
- Unidad de Investigación de Atención Primaria y del Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, España; Red de Investigación Cardiovascular del Instituto Carlos III Institute de Salud, Madrid, España
| | - Honorato Ortiz-Marrón
- Servicio de Epidemiología. Subdirección General de Promoción de la Salud y Prevención, Servicio Madrileño de Salud, Madrid, España
| | - Fernando Rigo
- Grupo Cardiovascular de Baleares de redIAPP, UB Genova, Palma de Mallorca, España
| | - José Lapetra
- Centro de Salud Universitario "San Pablo", Distrito Sanitario Atención Primaria Sevilla, Servicio Andaluz de Salud, Sevilla, España; CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, España
| | - Diana Gavrila
- Servicio de Epidemiología, Consejería de Sanidad y Consumo de la Región de Murcia, Murcia, España; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, España
| | - Antonio Segura
- Red de Investigación Cardiovascular del Instituto Carlos III Institute de Salud, Madrid, España; Servicio de Investigación, Instituto de Ciencias de la Salud de Castilla-La Mancha, Toledo, Talavera de la Reina, España
| | - Montserrat Fitó
- Grupo de Riesgo Cardiovascular y Nutrición, Programa de Investigación en Procesos Inflamatorios y Cardiovasculares, IMIM, Barcelona, España
| | - Judith Peñafiel
- Red de Investigación Cardiovascular del Instituto Carlos III Institute de Salud, Madrid, España; Grupo de Epidemiología y Genética Cardiovascular, Programa de Investigación en Procesos Inflamatorios y Cardiovasculares, IMIM, Barcelona, España
| | - Jaume Marrugat
- Red de Investigación Cardiovascular del Instituto Carlos III Institute de Salud, Madrid, España; Grupo de Epidemiología y Genética Cardiovascular, Programa de Investigación en Procesos Inflamatorios y Cardiovasculares, IMIM, Barcelona, España
| | - Antonio Cabrera de León
- Red de Investigación Cardiovascular del Instituto Carlos III Institute de Salud, Madrid, España; Grupo de Epidemiología y Genética Cardiovascular, Programa de Investigación en Procesos Inflamatorios y Cardiovasculares, IMIM, Barcelona, España; Área de Medicina Preventiva y Salud Pública, Universidad de La Laguna, La Laguna, España.
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53
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Bonomo JA, Palmer ND, He JC, Fan Y, Hicks PJ, Lea JP, Okusa MD, Bowden DW, Freedman BI. Association Analysis of the Reticulon 1 Gene in End-Stage Kidney Disease. Am J Nephrol 2015; 42:259-64. [PMID: 26496126 DOI: 10.1159/000441199] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Accepted: 09/16/2015] [Indexed: 12/31/2022]
Abstract
BACKGROUND The reticulon 1 gene (RTN1) encodes reticulons, endoplasmic reticulum stress proteins recently implicated in kidney disease progression. METHODS RTN1 single nucleotide polymorphisms (SNPs) were tested for association with type 2 diabetes (T2D)-associated end-stage kidney disease (ESKD) in African Americans (AAs) and European Americans (EAs), and AAs with non-diabetic ESKD. RTN1 SNPs that were associated with T2D-ESKD in AA cases compared to non-nephropathy controls were identified from a discovery genome-wide association study (n=1,797), then tested for replication in 1,847 additional AA T2D-ESKD cases and controls. RESULTS Three intronic RTN1 variants were nominally associated with T2D-ESKD in both discovery and replication analyses: rs1952034, rs12431381 and rs12434215 (additive models); combined T2D-ESKD (discovery+replication) p values were 0.015-3.0×10(-4) (ORs 0.67-0.77; minor alleles protective). In addition, rs12434215 was weakly associated with T2D-ESKD in 557 EA T2D-ESKD cases contrasted with 753 EA non-nephropathy controls (p=0.019; OR 0.69, dominant model). Nominal association extended to non-diabetic causes of ESKD in 1,459 additional AA cases (rs12431381 and rs12434215 p values 0.014-0.015; OR 0.77). An all-cause ESKD association analysis contrasted the 3,594 AA ESKD cases with 1,489 AA non-nephropathy controls and detected association with rs12434215 (p=6.7×10(-4), OR 0.73) and rs12431381 (p=7.5×10(-4), OR 0.75) in dominant models. Of the 3 SNPs, only rs12434215 was weakly associated with T2D per se when contrasting T2D non-nephropathy cases with non-diabetic controls (additive model p=0.032 AAs; p=0.048 EAs). CONCLUSIONS These results suggest evidence of genetic association between common variants in RTN1 and ESKD in AAs and EAs.
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Affiliation(s)
- Jason A Bonomo
- Center for Genomics and Personalized Medicine Research, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, N.C., USA
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Kogelman LJA, Zhernakova DV, Westra HJ, Cirera S, Fredholm M, Franke L, Kadarmideen HN. An integrative systems genetics approach reveals potential causal genes and pathways related to obesity. Genome Med 2015; 7:105. [PMID: 26482556 PMCID: PMC4617184 DOI: 10.1186/s13073-015-0229-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Accepted: 10/05/2015] [Indexed: 01/06/2023] Open
Abstract
Background Obesity is a multi-factorial health problem in which genetic factors play an important role. Limited results have been obtained in single-gene studies using either genomic or transcriptomic data. RNA sequencing technology has shown its potential in gaining accurate knowledge about the transcriptome, and may reveal novel genes affecting complex diseases. Integration of genomic and transcriptomic variation (expression quantitative trait loci [eQTL] mapping) has identified causal variants that affect complex diseases. We integrated transcriptomic data from adipose tissue and genomic data from a porcine model to investigate the mechanisms involved in obesity using a systems genetics approach. Methods Using a selective gene expression profiling approach, we selected 36 animals based on a previously created genomic Obesity Index for RNA sequencing of subcutaneous adipose tissue. Differential expression analysis was performed using the Obesity Index as a continuous variable in a linear model. eQTL mapping was then performed to integrate 60 K porcine SNP chip data with the RNA sequencing data. Results were restricted based on genome-wide significant single nucleotide polymorphisms, detected differentially expressed genes, and previously detected co-expressed gene modules. Further data integration was performed by detecting co-expression patterns among eQTLs and integration with protein data. Results Differential expression analysis of RNA sequencing data revealed 458 differentially expressed genes. The eQTL mapping resulted in 987 cis-eQTLs and 73 trans-eQTLs (false discovery rate < 0.05), of which the cis-eQTLs were associated with metabolic pathways. We reduced the eQTL search space by focusing on differentially expressed and co-expressed genes and disease-associated single nucleotide polymorphisms to detect obesity-related genes and pathways. Building a co-expression network using eQTLs resulted in the detection of a module strongly associated with lipid pathways. Furthermore, we detected several obesity candidate genes, for example, ENPP1, CTSL, and ABHD12B. Conclusions To our knowledge, this is the first study to perform an integrated genomics and transcriptomics (eQTL) study using, and modeling, genomic and subcutaneous adipose tissue RNA sequencing data on obesity in a porcine model. We detected several pathways and potential causal genes for obesity. Further validation and investigation may reveal their exact function and association with obesity. Electronic supplementary material The online version of this article (doi:10.1186/s13073-015-0229-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lisette J A Kogelman
- Department of Veterinary Clinical and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 7, 1870, Frederiksberg C, Denmark.
| | - Daria V Zhernakova
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - Harm-Jan Westra
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. .,Partners Center for Personalized Genetic Medicine, Boston, MA, USA. .,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Susanna Cirera
- Department of Veterinary Clinical and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 7, 1870, Frederiksberg C, Denmark.
| | - Merete Fredholm
- Department of Veterinary Clinical and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 7, 1870, Frederiksberg C, Denmark.
| | - Lude Franke
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - Haja N Kadarmideen
- Department of Veterinary Clinical and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 7, 1870, Frederiksberg C, Denmark.
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Harder JL, Hodgin JB, Kretzler M. Integrative Biology of Diabetic Kidney Disease. KIDNEY DISEASES 2015; 1:194-203. [PMID: 26929927 DOI: 10.1159/000439196] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND The leading cause of ESRD in the U.S. is diabetic kidney disease (DKD). Despite significant efforts to improve outcomes in DKD, the impact on disease progression has been disappointing. This has prompted clinicians and researchers to search for alternative approaches to identify persons at risk, and to search for more effective therapies to halt progression of DKD. Identification of novel therapies is critically dependent on a more comprehensive understanding of the pathophysiology of DKD, specifically at the molecular level. A more expansive and exploratory view of DKD is needed to complement more traditional research approaches that have focused on single molecules. SUMMARY In recent years, sophisticated research methodologies have emerged within systems biology that should allow for a more comprehensive disease definition of DKD. Systems biology provides an inter-disciplinary approach to describe complex interactions within biological systems including how these interactions influence systems' functions and behaviors. Computational modeling of large, system-wide, quantitative data sets is used to generate molecular interaction pathways, such as metabolic and cell signaling networks. KEY MESSAGES Importantly, interpretation of data generated by systems biology tools requires integration with enhanced clinical research data and validation using model systems. Such an integrative biological approach has already generated novel insights into pathways and molecules involved in DKD. In this review, we highlight recent examples of how combining systems biology with traditional clinical and model research efforts results in an integrative biology approach that has significantly added to the understanding of the complex pathophysiology of DKD.
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Affiliation(s)
- Jennifer L Harder
- Department of Internal Medicine, the Division of Nephrology, University of Michigan, Ann Arbor, Michigan
| | - Jeffrey B Hodgin
- Department of Pathology, University of Michigan, Ann Arbor, Michigan
| | - Matthias Kretzler
- Department of Internal Medicine, the Division of Nephrology, University of Michigan, Ann Arbor, Michigan ; Department of Bioinformatics and Computational Medicine, University of Michigan, Ann Arbor, Michigan
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Basson J, Sung YJ, de las Fuentes L, Schwander K, Cupples LA, Rao DC. Influence of Smoking Status and Intensity on Discovery of Blood Pressure Loci Through Gene-Smoking Interactions. Genet Epidemiol 2015; 39:480-488. [PMID: 25940791 PMCID: PMC4543586 DOI: 10.1002/gepi.21904] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Revised: 03/27/2015] [Accepted: 04/01/2015] [Indexed: 11/06/2022]
Abstract
BACKGROUND Genetic variation accounts for approximately 30% of blood pressure (BP) variability but most of that variability has not been attributed to specific variants. Interactions between genes and BP-associated factors may explain some "missing heritability." Cigarette smoking increases BP after short-term exposure and decreases BP with longer exposure. Gene-smoking interactions have discovered novel BP loci, but the contribution of smoking status and intensity to gene discovery is unknown. METHODS We analyzed gene-smoking intensity interactions for association with systolic BP (SBP) in three subgroups from the Framingham Heart Study: current smokers only (N = 1,057), current and former smokers ("ever smokers," N = 3,374), and all subjects (N = 6,710). We used three smoking intensity variables defined at cutoffs of 10, 15, and 20 cigarettes per day (CPD). We evaluated the 1 degree-of-freedom (df) interaction and 2df joint test using generalized estimating equations. RESULTS Analysis of current smokers using a CPD cutoff of 10 produced two loci associated with SBP. The rs9399633 minor allele was associated with increased SBP (5 mmHg) in heavy smokers (CPD > 10) but decreased SBP (7 mmHg) in light smokers (CPD ≤ 10). The rs11717948 minor allele was associated with decreased SBP (8 mmHg) in light smokers but decreased SBP (2 mmHg) in heavy smokers. Across all nine analyses, 19 additional loci reached P < 1 × 10(-6). DISCUSSION Analysis of current smokers may have the highest power to detect gene-smoking interactions, despite the reduced sample size. Associations of loci near SASH1 and KLHL6/KLHL24 with SBP may be modulated by tobacco smoking.
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Affiliation(s)
- Jacob Basson
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yun Ju Sung
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Lisa de las Fuentes
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Karen Schwander
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - L Adrienne Cupples
- The Framingham Heart Study, Framingham, MA, 01702, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - D C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA
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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: 101] [Impact Index Per Article: 10.1] [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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Migliore CL, Vorderstrasse A, Pan W, Melkus GD. Renal Disease Risk Factors Among Risk Groups Comprised of African American Women With Type 2 Diabetes: A Secondary Analysis. DIABETES EDUCATOR 2015. [PMID: 26202051 DOI: 10.1177/0145721715593814] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
PURPOSE The purpose of this study was to explore and describe the prevalence of renal disease risk factors and the categorization of renal disease risk groups among African American women with type 2 diabetes mellitus (T2DM) who participated in a self-management and coping skills training intervention. We also explored and described the change in renal disease risk factors within and between risk groups, determining if participation in a culturally relevant coping skills training intervention decreased renal disease risk. METHODS This study was a secondary analysis of data from a longitudinal intervention study and included all 109 African American women with T2DM from the primary intervention study. This study examined the prevalence of 4 renal disease risk factors among the women at baseline via descriptive statistics, used cluster analysis to divide the women into risk groups and categorize the risk groups, and also measured the change in risk factors over time among risk groups via mixed modeling. RESULTS A majority of the women had a hemoglobin A1C ≥7% (62.39%) and were obese (75.93%). The high-risk cluster displayed clinically significant declines in mean systolic blood pressure, triglycerides, and A1C in both the control and intervention groups, and the intervention was more effective in reducing triglycerides and A1C levels among high-risk participants than low-risk. Overall, the control, high-risk group exhibited the largest declines in systolic blood pressure, triglycerides, and A1C. CONCLUSIONS This study displays the importance of acknowledging African American women with type 2 diabetes mellitus (T2DM) at high risk for renal disease in health care settings, which is often overlooked, and realizing that renal disease risk reduction is obtainable.
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Affiliation(s)
- Casey L Migliore
- Duke University School of Nursing, Durham, North Carolina (Dr Migliore, Dr Vorderstrasse, Dr Pan)
| | - Allison Vorderstrasse
- Duke University School of Nursing, Durham, North Carolina (Dr Migliore, Dr Vorderstrasse, Dr Pan)
| | - Wei Pan
- Duke University School of Nursing, Durham, North Carolina (Dr Migliore, Dr Vorderstrasse, Dr Pan)
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Wei F, Cai C, Feng S, Lv J, Li S, Chang B, Zhang H, Shi W, Han H, Ling C, Yu P, Chen Y, Sun N, Tian J, Jiao H, Yang F, Li M, Wang Y, Zou L, Su L, Li J, Li R, Qiu H, Shi J, Liu S, Chang M, Lin J, Chen L, Li WD. TOX and CDKN2A/B Gene Polymorphisms Are Associated with Type 2 Diabetes in Han Chinese. Sci Rep 2015; 5:11900. [PMID: 26139146 PMCID: PMC4650661 DOI: 10.1038/srep11900] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2014] [Accepted: 06/08/2015] [Indexed: 12/27/2022] Open
Abstract
To study associations between type 2 diabetes (T2DM) candidate genes and microvascular complications of diabetes (MVCDs), we performed case-control association studies for both T2DM and MVCDs in Han Chinese subjects. We recruited 1,939 unrelated Han Chinese T2DM patients and 918 individuals with normal blood glucose levels as nondiabetic controls. Among T2DM patients, 1116 have MVCDs, 266 have a history of T2DM of >10 years but never developed MVCDs. Eighty-two single-nucleotide polymorphisms (SNPs) in 54 candidate genes were genotyped. Discrete association studies were performed by the PLINK program for T2DM and MVCDs. Significant associations were found among candidate gene SNPs and T2DM, including rs1526167 of the TOX gene (allele A, P = 2.85 × 10−9, OR = 1.44). The SNP rs10811661 of the CDKN2A/B gene was also associated with T2DM (allele T, P = 4.09 × 10−7, OR = 1.36). When we used control patients with >10 years of T2DM history without MVCD, we found that the G allele of SNP rs1526167 of the TOX gene was associated with MVCD (nominal P = 4.33 × 10−4). In our study, significant associations were found between TOX and CDKN2A/B gene SNPs and T2DM. The TOX polymorphism might account for the higher risk of T2DM and the lower risk of MVCDs in the Han Chinese population.
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Affiliation(s)
- Fengjiang Wei
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Chunyou Cai
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Shuzhi Feng
- Tianjin General Hospital, Tianjin Medical University, Tianjin, 300052, China
| | - Jia Lv
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Shen Li
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Baocheng Chang
- Metabolic Diseases Hospital, Tianjin Medical University, Tianjin, 300070, China
| | - Hong Zhang
- Eye Hospital, Tianjin Medical University, Tianjin, 300384, China
| | - Wentao Shi
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Hongling Han
- Tianjin General Hospital, Tianjin Medical University, Tianjin, 300052, China
| | - Chao Ling
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Ping Yu
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Yongjun Chen
- Eye Hospital, Tianjin Medical University, Tianjin, 300384, China
| | - Ning Sun
- Tianjin General Hospital, Tianjin Medical University, Tianjin, 300052, China
| | - Jianli Tian
- Tianjin General Hospital, Tianjin Medical University, Tianjin, 300052, China
| | - Hongxiao Jiao
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Fuhua Yang
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Mingshan Li
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Yuhua Wang
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Lei Zou
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Long Su
- Eye Hospital, Tianjin Medical University, Tianjin, 300384, China
| | - Jingbo Li
- Tianjin People's Hospital, Department of Endocrinology, Tianjin, 300191, China
| | - Ran Li
- Tianjin General Hospital, Tianjin Medical University, Tianjin, 300052, China
| | - Huina Qiu
- Tianjin People's Hospital, Department of Endocrinology, Tianjin, 300191, China
| | - Jingmin Shi
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Shiying Liu
- Tianjin General Hospital, Tianjin Medical University, Tianjin, 300052, China
| | - Mingqin Chang
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Jingna Lin
- Tianjin People's Hospital, Department of Endocrinology, Tianjin, 300191, China
| | - Liming Chen
- Metabolic Diseases Hospital, Tianjin Medical University, Tianjin, 300070, China
| | - Wei-Dong Li
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
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Abstract
The global prevalence of diabetic nephropathy is rising in parallel with the increasing incidence of diabetes in most countries. Unfortunately, up to 40 % of persons diagnosed with diabetes may develop kidney complications. Diabetic nephropathy is associated with substantially increased risks of cardiovascular disease and premature mortality. An inherited susceptibility to diabetic nephropathy exists, and progress is being made unravelling the genetic basis for nephropathy thanks to international research collaborations, shared biological resources and new analytical approaches. Multiple epidemiological studies have highlighted the clinical heterogeneity of nephropathy and the need for better phenotyping to help define important subgroups for analysis and increase the power of genetic studies. Collaborative genome-wide association studies for nephropathy have reported unique genes, highlighted novel biological pathways and suggested new disease mechanisms, but progress towards clinically relevant risk prediction models for diabetic nephropathy has been slow. This review summarises the current status, recent developments and ongoing challenges elucidating the genetics of diabetic nephropathy.
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Affiliation(s)
- Amy Jayne McKnight
- Nephrology Research Group, Centre for Public Health, Queen's University Belfast, c/o Regional Genetics Centre, Level A, Tower Block, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, UK,
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Kwak SH, Park KS. Genetic Studies on Diabetic Microvascular Complications: Focusing on Genome-Wide Association Studies. Endocrinol Metab (Seoul) 2015; 30:147-58. [PMID: 26194074 PMCID: PMC4508258 DOI: 10.3803/enm.2015.30.2.147] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Revised: 05/26/2015] [Accepted: 05/26/2015] [Indexed: 01/13/2023] Open
Abstract
Diabetes is a common metabolic disorder with a worldwide prevalence of 8.3% and is the leading cause of visual loss, end-stage renal disease and amputation. Recently, genome-wide association studies (GWASs) have identified genetic risk factors for diabetic microvascular complications of retinopathy, nephropathy, and neuropathy. We summarized the recent findings of GWASs on diabetic microvascular complications and highlighted the challenges and our opinion on future directives. Five GWASs were conducted on diabetic retinopathy, nine on nephropathy, and one on neuropathic pain. The majority of recent GWASs were underpowered and heterogeneous in terms of study design, inclusion criteria and phenotype definition. Therefore, few reached the genome-wide significance threshold and the findings were inconsistent across the studies. Recent GWASs provided novel information on genetic risk factors and the possible pathophysiology of diabetic microvascular complications. However, further collaborative efforts to standardize phenotype definition and increase sample size are necessary for successful genetic studies on diabetic microvascular complications.
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Affiliation(s)
- Soo Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University Hospital; Depatment of Internal Medicine, Seoul National University College of Medicine; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea.
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Witzel II, Jelinek HF, Khalaf K, Lee S, Khandoker AH, Alsafar H. Identifying Common Genetic Risk Factors of Diabetic Neuropathies. Front Endocrinol (Lausanne) 2015; 6:88. [PMID: 26074879 PMCID: PMC4447004 DOI: 10.3389/fendo.2015.00088] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2015] [Accepted: 05/13/2015] [Indexed: 12/13/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a global public health problem of epidemic proportions, with 60-70% of affected individuals suffering from associated neurovascular complications that act on multiple organ systems. The most common and clinically significant neuropathies of T2DM include uremic neuropathy, peripheral neuropathy, and cardiac autonomic neuropathy. These conditions seriously impact an individual's quality of life and significantly increase the risk of morbidity and mortality. Although advances in gene sequencing technologies have identified several genetic variants that may regulate the development and progression of T2DM, little is known about whether or not the variants are involved in disease progression and how these genetic variants are associated with diabetic neuropathy specifically. Significant missing heritability data and complex disease etiologies remain to be explained. This article is the first to provide a review of the genetic risk variants implicated in the diabetic neuropathies and to highlight potential commonalities. We thereby aim to contribute to the creation of a genetic-metabolic model that will help to elucidate the cause of diabetic neuropathies, evaluate a patient's risk profile, and ultimately facilitate preventative and targeted treatment for the individual.
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Affiliation(s)
- Ini-Isabée Witzel
- Biomedical Engineering Department, Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates
| | - Herbert F. Jelinek
- Australian School of Advanced Medicine, Macquarie University, Sydney, NSW, Australia
- Centre for Research in Complex Systems, School of Community Health, Charles Sturt University, Albury, NSW, Australia
| | - Kinda Khalaf
- Biomedical Engineering Department, Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates
| | - Sungmun Lee
- Biomedical Engineering Department, Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates
| | - Ahsan H. Khandoker
- Biomedical Engineering Department, Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates
- Electrical and Electronic Engineering Department, The University of Melbourne, Parkville, VIC, Australia
| | - Habiba Alsafar
- Biomedical Engineering Department, Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates
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Liu R, Lee K, He JC. Genetics and Epigenetics of Diabetic Nephropathy. KIDNEY DISEASES (BASEL, SWITZERLAND) 2015; 1:42-51. [PMID: 27536664 PMCID: PMC4934801 DOI: 10.1159/000381796] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2015] [Revised: 03/20/2015] [Indexed: 12/21/2022]
Abstract
BACKGROUND Diabetic nephropathy (DN) is the most common cause of end-stage renal disease (ESRD) in the USA and worldwide, contributing to significant morbidity and mortality in diabetic patients. A genetic factor for the development of DN is strongly implicated, as only one third of diabetic patients eventually develop kidney disease. Growing evidence also supports an important role of epigenetic modifications in DN. SUMMARY Multiple studies have been performed to identify risk genes and loci associated with DN. So far, only several genes and loci have been identified, none of which showed a strong association with DN. Therefore, a better study design with a larger sample size to identify rare variants and a clinically defined patient population to identify genes and loci associated with progressive DN are still needed. In addition to genetic factors, epigenetic modifications, such as DNA methylation, histone modifications and microRNAs, also play a major role in the pathogenesis of DN through a second layer of gene regulation. Although a major progress has been made in this field, epigenetic studies in DN are still in the early phase and have been limited mostly due to the heterogeneity of kidney tissue samples with multiple cells. However, rapid development of high-throughput genome-wide techniques will help us to better identify genetic variants and epigenetic changes in DN. KEY MESSAGE Understanding of genetic and epigenetic changes in DN is needed for the development of new biomarkers and better drug targets against DN. Summarized in this review are important recent findings on genetic and epigenetic studies in the field of DN.
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Affiliation(s)
- Ruijie Liu
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, N.Y., USA
- Renal Section, James J. Peters VAMC, New York, N.Y., USA
| | - Kyung Lee
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, N.Y., USA
| | - John Cijiang He
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, N.Y., USA
- Renal Section, James J. Peters VAMC, New York, N.Y., USA
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Raina P, Sikka R, Kaur R, Sokhi J, Matharoo K, Singh V, Bhanwer AJS. Association of Transforming Growth Factor Beta-1 (TGF-β1) Genetic Variation with Type 2 Diabetes and End Stage Renal Disease in Two Large Population Samples from North India. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2015; 19:306-17. [PMID: 25871499 DOI: 10.1089/omi.2015.0005] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Geographic and ethnic differences impart an immense influence on the genetic susceptibility to Type 2 diabetes (T2D) and diabetic nephropathy (DN). Transforming growth factor-beta1 (TGF-β1), a ubiquitously expressed pro-fibrotic cytokine plays a pivotal role in mediating the hypertrophic and fibrotic manifestations of DN. The present study is aimed to study the association of TGF-β1 g.869T>C (rs1800470) and g.-509C>T (rs1800469) polymorphism in T2D and end stage renal disease (ESRD) cases from the two geographically and ethnically different populations from North India. A total of 1313 samples comprising 776 samples from Punjab (204 with ESRD, 257 without ESRD, and 315 healthy controls) and 537 samples from Jammu and Kashmir (150 with ESRD, 187 without ESRD, and 200 controls) were genotyped for TGF-β1 (rs1800470 and rs1800469) using ARMS-PCR. The CC genotype of rs1800470 increased ESRD risk by 3.1-4.5-fold in both populations. However, for rs1800469, the TT genotype provided 5.5-fold risk towards ESRD cases from Jammu and Kashmir and no risk for the cases from Punjab. The haplotype C-T conferred nearly a 2-3-fold risk towards T2D and ESRD and diplotype CC-CT conferred a 4-fold risk towards ESRD. Our results conclude that TGF-β1 (rs1800470) may increase the risk of both ESRD and T2D in both populations, but TGF-β1 (rs1800469) provided risk for only ESRD in the population of Jammu and Kashmir. The present study is one of the large sample sized genetic association studies of T2D and ESRD from Indian population and adds to the scholarship on global health omics.
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Affiliation(s)
- Priyanka Raina
- 1 Department of Human Genetics, Guru Nanak Dev University , Amritsar, Punjab, India
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65
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Abstract
The rising global prevalence of diabetes mellitus is accompanied by an increasing burden of morbidity and mortality that is attributable to the complications of chronic hyperglycaemia. These complications include blindness, renal failure and cardiovascular disease. Current therapeutic options for chronic hyperglycaemia reduce, but do not eradicate, the risk of these complications. Success in defining new preventative and therapeutic strategies hinges on an improved understanding of the molecular processes involved in the development of these complications. This Review explores the role of human genetics in delivering such insights, and describes progress in characterizing the sequence variants that influence individual predisposition to diabetic kidney disease, retinopathy, neuropathy and accelerated cardiovascular disease. Numerous risk variants for microvascular complications of diabetes have been reported, but very few have shown robust replication. Furthermore, only limited evidence exists of a difference in the repertoire of risk variants influencing macrovascular disease between those with and those without diabetes. Here, we outline the challenges associated with the genetic analysis of diabetic complications and highlight ongoing efforts to deliver biological insights that can drive translational benefits.
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Cui W, Du B, Cui Y, Kong L, Wu H, Wang Y, Miao L, Zhou W. Is rs759853 polymorphism in promoter of aldose reductase gene a risk factor for diabetic nephropathy? A meta-analysis. Eur J Med Res 2015; 20:14. [PMID: 25885804 PMCID: PMC4335367 DOI: 10.1186/s40001-015-0089-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Accepted: 01/20/2015] [Indexed: 11/28/2022] Open
Abstract
Background So far, a number of case-control or cohort studies have been carried out to investigate the relationship between rs759853 polymorphism in the promoter of aldose reductase (AR) gene and the risk of diabetic nephropathy (DN). However, the results have generated considerable controversy. We performed this study to clarify the linkage between this gene mutation and the risk of DN. Methods A comprehensive literature search of electronic databases and a well-organized meta-analysis were conducted. Results Twelve comparisons and 4,735 individuals from nine published case-control or cohort studies were included finally. From none to large heterogeneity was observed, therefore, both fixed and random models were used. Significant differences were found between AR rs759853 polymorphism and susceptibility of DN from both type 1 and type 2 diabetes in all genetic models (allele contrast, OR = 1.37, CI (1.18, 1.59), P < 0.0001; additive model, OR = 1.78, CI (1.25, 2.53), P = 0.01; recessive model OR = 1.33 CI (1.08, 1.63), P = 0.008; dominant model, OR = 1.52, CI (1.26, 1.84), P < 0.0001; codominance model OR = 1.30 (1.15, 1.47), P < 0.0001). In stratified meta-analyses for type 2 diabetes by ethnicity, the significant relationship was found in allele contrast and dominant model in Caucasians, and in allele contrast and codominance model in Asians. However, data do not support the linkage between this gene mutation and the progression of DN. There was no significant publication bias. Conclusions The evidence currently available shows that the AR rs759853 polymorphism may correlate with the susceptibility of DN. However, data do not support the association between this DNA variation and the progression of DN.
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Affiliation(s)
- Wenpeng Cui
- Department of Nephrology, Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, Jilin, 130041, China.
| | - Bing Du
- Department of Cardiology, the Second Part of First Hospital, Jilin University, 3302 Jilin Road, Changchun, Jilin, 130032, China.
| | - Yingchun Cui
- Department of Nephrology, Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, Jilin, 130041, China.
| | - Lili Kong
- Department of Nephrology, Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, Jilin, 130041, China.
| | - Hao Wu
- Department of Nephrology, Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, Jilin, 130041, China.
| | - Yangwei Wang
- Department of Nephrology, Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, Jilin, 130041, China.
| | - Lining Miao
- Department of Nephrology, Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, Jilin, 130041, China.
| | - Wenhua Zhou
- Department of Nephrology, Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, Jilin, 130041, China.
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Currie G, McKay G, Delles C. Biomarkers in diabetic nephropathy: Present and future. World J Diabetes 2014; 5:763-776. [PMID: 25512779 PMCID: PMC4265863 DOI: 10.4239/wjd.v5.i6.763] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Revised: 10/03/2014] [Accepted: 10/27/2014] [Indexed: 02/05/2023] Open
Abstract
Diabetic nephropathy (DN) is the leading cause of end stage renal disease in the Western world. Microalbuminuria (MA) is the earliest and most commonly used clinical index of DN and is independently associated with cardiovascular risk in diabetic patients. Although MA remains an essential tool for risk stratification and monitoring disease progression in DN, a number of factors have called into question its predictive power. Originally thought to be predictive of future overt DN in 80% of patients, we now know that only around 30% of microalbuminuric patients progress to overt nephropathy after 10 years of follow up. In addition, advanced structural alterations in the glomerular basement membrane may already have occurred by the time MA is clinically detectable.Evidence in recent years suggests that a significant proportion of patients with MA can revert to normoalbuminuria and the concept of nonalbuminuric DN is well-documented, reflecting the fact that patients with diabetes can demonstrate a reduction in glomerular filtration rate without progressing from normo-to MA. There is an unmet clinical need to identify biomarkers with potential for earlier diagnosis and risk stratification in DN and recent developments in this field will be the focus of this review article.
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Peprah E, Xu H, Tekola-Ayele F, Royal CD. Genome-wide association studies in Africans and African Americans: expanding the framework of the genomics of human traits and disease. Public Health Genomics 2014; 18:40-51. [PMID: 25427668 DOI: 10.1159/000367962] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2014] [Accepted: 08/29/2014] [Indexed: 01/11/2023] Open
Abstract
Genomic research is one of the tools for elucidating the pathogenesis of diseases of global health relevance and paving the research dimension to clinical and public health translation. Recent advances in genomic research and technologies have increased our understanding of human diseases, genes associated with these disorders, and the relevant mechanisms. Genome-wide association studies (GWAS) have proliferated since the first studies were published several years ago and have become an important tool in helping researchers comprehend human variation and the role genetic variants play in disease. However, the need to expand the diversity of populations in GWAS has become increasingly apparent as new knowledge is gained about genetic variation. Inclusion of diverse populations in genomic studies is critical to a more complete understanding of human variation and elucidation of the underpinnings of complex diseases. In this review, we summarize the available data on GWAS in recent African ancestry populations within the western hemisphere (i.e. African Americans and peoples of the Caribbean) and continental African populations. Furthermore, we highlight ways in which genomic studies in populations of recent African ancestry have led to advances in the areas of malaria, HIV, prostate cancer, and other diseases. Finally, we discuss the advantages of conducting GWAS in recent African ancestry populations in the context of addressing existing and emerging global health conditions.
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Liao LN, Chen CC, Wu FY, Lin CC, Hsiao JH, Chang CT, Kardia SLR, Li TC, Tsai FJ. Identified single-nucleotide polymorphisms and haplotypes at 16q22.1 increase diabetic nephropathy risk in Han Chinese population. BMC Genet 2014; 15:113. [PMID: 25359423 PMCID: PMC4222374 DOI: 10.1186/s12863-014-0113-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2014] [Accepted: 10/13/2014] [Indexed: 12/20/2022] Open
Abstract
Background Diabetic nephropathy (DN) has become one of the most common causes of end-stage renal disease (ESRD) in many countries, such as 44.5% in Taiwan. Previous studies have shown that there is a genetic component to ESRD. Studies attempting to determine which genetic variants are related to DN in Han Chinese are limited. A case–control study was conducted to identify DN susceptibility variants in Han Chinese patients with type 2 diabetes. Results We included 574 unrelated type 2 diabetes patients (217 DN cases and 357 controls), who were genotyped using Illumina HumanHap550-Duo BeadChip. In single-SNP association tests, the SNPs rs11647932, rs11645214, and rs6499323 located at 16q22.1 under the additive-effect disease model were significantly associated with an approximately 2-fold increased risk of DN. In haplotype association tests, identified haplotypes located in the chromosome 16q22.1 region (containing ST3GAL2, COG4, SF3B3, and IL34 genes) raised DN risk. The strongest association was found with haplotype rs2288491-rs4985534-rs11645214 (C-C-G) (adjusted odds ratio [AOR] 1.93, 95% confidence interval [CI] 1.83-2.03, p = 6.25 × 10−7), followed by haplotype rs8052125-rs2288491-rs4985534-rs11645214 (G-C-C-G) (AOR 1.92, 95% CI 1.82-2.02, p = 6.56 × 10−7), and haplotype rs2303792-rs8052125-rs2288491-rs4985534-rs11645214 (A-G-C-C-G) (AOR 1.91, 95% CI 1.81-2.01, p = 1.15 × 10−6). Conclusions Our results demonstrate that the novel SNPs and haplotypes located at the 16q22.1 region may involve in the biological pathways of DN in Han Chinese patients with type 2 diabetes. This study can provide new insights into the etiology of DN. Electronic supplementary material The online version of this article (doi:10.1186/s12863-014-0113-8) contains supplementary material, which is available to authorized users.
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70
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Keaton JM, Cooke Bailey JN, Palmer ND, Freedman BI, Langefeld CD, Ng MCY, Bowden DW. A comparison of type 2 diabetes risk allele load between African Americans and European Americans. Hum Genet 2014; 133:1487-95. [PMID: 25273842 DOI: 10.1007/s00439-014-1486-5] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Accepted: 09/08/2014] [Indexed: 12/25/2022]
Abstract
The prevalence of type 2 diabetes (T2D) is greater in populations of African descent compared to European-descent populations. Genetic risk factors may underlie the disparity in disease prevalence. Genome-wide association studies (GWAS) have identified >60 common genetic variants that contribute to T2D risk in populations of European, Asian, African and Hispanic descent. These studies have not comprehensively examined population differences in cumulative risk allele load. To investigate the relationship between risk allele load and T2D risk, 46 T2D single nucleotide polymorphisms (SNPs) in 43 loci from GWAS in European, Asian, and African-derived populations were genotyped in 1,990 African Americans (n = 963 T2D cases, n = 1,027 controls) and 1,644 European Americans (n = 719 T2D cases, n = 925 controls) ascertained and recruited using a common protocol in the southeast United States. A genetic risk score (GRS) was constructed from the cumulative risk alleles for each individual. In African American subjects, risk allele frequencies ranged from 0.024 to 0.964. Risk alleles from 26 SNPs demonstrated directional consistency with previous studies, and 3 SNPs from ADAMTS9, TCF7L2, and ZFAND6 showed nominal evidence of association (p < 0.05). African American individuals carried 38-67 (53.7 ± 4.0, mean ± SD) risk alleles. In European American subjects, risk allele frequencies ranged from 0.084 to 0.996. Risk alleles from 36 SNPs demonstrated directional consistency, and 10 SNPs from BCL11A, PSMD6, ADAMTS9, ZFAND3, ANK1, CDKN2A/B, TCF7L2, PRC1, FTO, and BCAR1 showed evidence of association (p < 0.05). European American individuals carried 38-65 (50.9 ± 4.4) risk alleles. African Americans have a significantly greater burden of 2.8 risk alleles (p = 3.97 × 10(-89)) compared to European Americans. However, GRS modeling showed that cumulative risk allele load was associated with risk of T2D in European Americans, but only marginally in African Americans. This result suggests that there are ethnic-specific differences in genetic architecture underlying T2D, and that these differences complicate our understanding of how risk allele load impacts disease susceptibility.
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Affiliation(s)
- Jacob M Keaton
- Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC, USA
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Yeo NC, O'Meara CC, Bonomo JA, Veth KN, Tomar R, Flister MJ, Drummond IA, Bowden DW, Freedman BI, Lazar J, Link BA, Jacob HJ. Shroom3 contributes to the maintenance of the glomerular filtration barrier integrity. Genome Res 2014; 25:57-65. [PMID: 25273069 PMCID: PMC4317173 DOI: 10.1101/gr.182881.114] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Genome-wide association studies (GWAS) identify regions of the genome correlated with disease risk but are restricted in their ability to identify the underlying causative mechanism(s). Thus, GWAS are useful "roadmaps" that require functional analysis to establish the genetic and mechanistic structure of a particular locus. Unfortunately, direct functional testing in humans is limited, demonstrating the need for complementary approaches. Here we used an integrated approach combining zebrafish, rat, and human data to interrogate the function of an established GWAS locus (SHROOM3) lacking prior functional support for chronic kidney disease (CKD). Congenic mapping and sequence analysis in rats suggested Shroom3 was a strong positional candidate gene. Transferring a 6.1-Mb region containing the wild-type Shroom3 gene significantly improved the kidney glomerular function in FHH (fawn-hooded hypertensive) rat. The wild-type Shroom3 allele, but not the FHH Shroom3 allele, rescued glomerular defects induced by knockdown of endogenous shroom3 in zebrafish, suggesting that the FHH Shroom3 allele is defective and likely contributes to renal injury in the FHH rat. We also show for the first time that variants disrupting the actin-binding domain of SHROOM3 may cause podocyte effacement and impairment of the glomerular filtration barrier.
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Affiliation(s)
- Nan Cher Yeo
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA; Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA
| | - Caitlin C O'Meara
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA; Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA
| | - Jason A Bonomo
- Department of Molecular Medicine and Translational Science, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA; Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - Kerry N Veth
- Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA
| | - Ritu Tomar
- Nephrology Division, Massachusetts General Hospital, Charlestown, Massachusetts 02129, USA
| | - Michael J Flister
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA; Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA
| | - Iain A Drummond
- Nephrology Division, Massachusetts General Hospital, Charlestown, Massachusetts 02129, USA; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA; Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - Barry I Freedman
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA; Department of Internal Medicine - Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - Jozef Lazar
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA; Department of Dermatology, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA
| | - Brian A Link
- Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA
| | - Howard J Jacob
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA; Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA; Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA
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Palmer ND, Ng MCY, Langefeld CD, Divers J, Lea JP, Okusa MD, Kimberly RP, Bowden DW, Freedman BI. Lack of Association of the APOL1 G3 Haplotype in African Americans with ESRD. J Am Soc Nephrol 2014; 26:1021-5. [PMID: 25249559 DOI: 10.1681/asn.2014050444] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2014] [Accepted: 08/05/2014] [Indexed: 01/13/2023] Open
Abstract
Apolipoprotein L1 gene (APOL1) G1 and G2 variants are strongly associated with progressive nondiabetic nephropathy in populations with recent African ancestry. Selection for these variants occurred as a result of protection from human African trypanosomiasis (HAT). Resequencing of this region in 10 genetically and geographically distinct African populations residing in HAT endemic regions identified eight single nucleotide polymorphisms (SNPs) in strong linkage disequilibrium and comprising a novel G3 haplotype. To determine whether the APOL1 G3 haplotype was associated with nephropathy, G1, G2, and G3 SNPs and 70 ancestry informative markers spanning the genome were genotyped in 937 African Americans with nondiabetic ESRD, 965 African Americans with type 2 diabetes-associated ESRD, and 1029 non-nephropathy controls. In analyses adjusting for age, sex, APOL1 G1/G2 risk (recessive), and global African ancestry, the G3 haplotype was not significantly associated with ESRD (P=0.05 for nondiabetic ESRD, P=0.57 for diabetes-associated ESRD, and P=0.27 for all-cause ESRD). We conclude that variation in APOL1 G3 makes a nominal, if any, contribution to ESRD in African Americans; G1 and G2 variants explain the vast majority of nondiabetic nephropathy susceptibility.
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Affiliation(s)
- Nicholette D Palmer
- Departments of Biochemistry, Centers for Genomics and Personalized Medicine Research and Public Health Genomics, and
| | - Maggie C Y Ng
- Centers for Genomics and Personalized Medicine Research and Public Health Genomics, and
| | | | - Jasmin Divers
- Public Health Genomics, and Biostatistical Sciences, and
| | - Janice P Lea
- Division of Renal Medicine, Department of Medicine, Emory School of Medicine, Atlanta, Georgia
| | - Mark D Okusa
- Division of Nephrology, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia; and
| | - Robert P Kimberly
- Division of Clinical Immunology and Rheumatology, University of Alabama, Birmingham, Alabama
| | - Donald W Bowden
- Departments of Biochemistry, Centers for Genomics and Personalized Medicine Research and
| | - Barry I Freedman
- Centers for Genomics and Personalized Medicine Research and Public Health Genomics, and Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina; Internal Medicine,
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73
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Ledo N, Ko YA, Park ASD, Kang HM, Han SY, Choi P, Susztak K. Functional genomic annotation of genetic risk loci highlights inflammation and epithelial biology networks in CKD. J Am Soc Nephrol 2014; 26:692-714. [PMID: 25231882 DOI: 10.1681/asn.2014010028] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Genome-wide association studies (GWASs) have identified multiple loci associated with the risk of CKD. Almost all risk variants are localized to the noncoding region of the genome; therefore, the role of these variants in CKD development is largely unknown. We hypothesized that polymorphisms alter transcription factor binding, thereby influencing the expression of nearby genes. Here, we examined the regulation of transcripts in the vicinity of CKD-associated polymorphisms in control and diseased human kidney samples and used systems biology approaches to identify potentially causal genes for prioritization. We interrogated the expression and regulation of 226 transcripts in the vicinity of 44 single nucleotide polymorphisms using RNA sequencing and gene expression arrays from 95 microdissected control and diseased tubule samples and 51 glomerular samples. Gene expression analysis from 41 tubule samples served for external validation. 92 transcripts in the tubule compartment and 34 transcripts in glomeruli showed statistically significant correlation with eGFR. Many novel genes, including ACSM2A/2B, FAM47E, and PLXDC1, were identified. We observed that the expression of multiple genes in the vicinity of any single CKD risk allele correlated with renal function, potentially indicating that genetic variants influence multiple transcripts. Network analysis of GFR-correlating transcripts highlighted two major clusters; a positive correlation with epithelial and vascular functions and an inverse correlation with inflammatory gene cluster. In summary, our functional genomics analysis highlighted novel genes and critical pathways associated with kidney function for future analysis.
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Affiliation(s)
- Nora Ledo
- Renal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Yi-An Ko
- Renal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ae-Seo Deok Park
- Renal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Hyun-Mi Kang
- Renal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sang-Youb Han
- Renal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Peter Choi
- Renal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Katalin Susztak
- Renal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Satirapoj B, Adler SG. Comprehensive approach to diabetic nephropathy. Kidney Res Clin Pract 2014; 33:121-31. [PMID: 26894033 PMCID: PMC4714158 DOI: 10.1016/j.krcp.2014.08.001] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2014] [Accepted: 08/09/2014] [Indexed: 12/14/2022] Open
Abstract
Diabetic nephropathy (DN) is a leading cause of mortality and morbidity in patients with diabetes. This complication reflects a complex pathophysiology, whereby various genetic and environmental factors determine susceptibility and progression to end-stage renal disease. DN should be considered in patients with type 1 diabetes for at least 10 years who have microalbuminuria and diabetic retinopathy, as well as in patients with type 1 or type 2 diabetes with macroalbuminuria in whom other causes for proteinuria are absent. DN may also present as a falling estimated glomerular filtration rate with albuminuria as a minor presenting feature, especially in patients taking renin-angiotensin-aldosterone system inhibitors (RAASi). The pathological characteristic features of disease are three major lesions: diffuse mesangial expansion, diffuse thickened glomerular basement membrane, and hyalinosis of arterioles. Functionally, however, the pathophysiology is reflected in dysfunction of the mesangium, the glomerular capillary wall, the tubulointerstitium, and the vasculature. For all diabetic patients, a comprehensive approach to management including glycemic and hypertensive control with RAASi combined with lipid control, dietary salt restriction, lowering of protein intake, increased physical activity, weight reduction, and smoking cessation can reduce the rate of progression of nephropathy and minimize the risk for cardiovascular events. This review focuses on the latest published data dealing with the mechanisms, diagnosis, and current treatment of DN.
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Affiliation(s)
- Bancha Satirapoj
- Division of Nephrology, Phramongkutklao Hospital and College of Medicine, Bangkok, Thailand
| | - Sharon G. Adler
- Los Angeles Biomedical Research Institute at Harbor–UCLA Medical Center, Torrance, CA, USA
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75
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Alkayyali S, Lyssenko V. Genetics of diabetes complications. Mamm Genome 2014; 25:384-400. [PMID: 25169573 DOI: 10.1007/s00335-014-9543-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2014] [Accepted: 08/13/2014] [Indexed: 12/11/2022]
Abstract
Chronic hyperglycemia and duration of diabetes are the major risk factors associated with development of micro- and macrovascular complications of diabetes. Although it is believed that hyperglycemia induces damage to the particular cell subtypes, e.g., mesangial cells in the renal glomerulus, capillary endothelial cells in the retina, and neurons and Schwann cells in peripheral nerves, the exact mechanisms underlying these damaging defects are not yet well understood. Clustering of micro- and macrovascular complications in families of patients with diabetes suggests a strong genetic susceptibility. However, until now only a handful number of genetic variants were reported to be associated with either nephropathy (ACE, ELMO1, FRMD3, and AKR1B1) or retinopathy (VEGF, AKR1B1, and EPO), and only a few studies were carried out for genetic susceptibility to cardiovascular diseases (ADIPOQ, GLUL) in patients with diabetes. It is, therefore, obvious that the accumulation of more data from larger studies and better phenotypically characterized cohorts is needed to facilitate genetic discoveries and unravel novel insights into the pathogenesis of diabetic complications.
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Affiliation(s)
- Sami Alkayyali
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Lund, Sweden,
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Bonomo JA, Guan M, Ng MCY, Palmer ND, Hicks PJ, Keaton JM, Lea JP, Langefeld CD, Freedman BI, Bowden DW. The ras responsive transcription factor RREB1 is a novel candidate gene for type 2 diabetes associated end-stage kidney disease. Hum Mol Genet 2014; 23:6441-7. [PMID: 25027322 DOI: 10.1093/hmg/ddu362] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Familial clustering and presumed genetic risk for type 2 diabetic (T2D) and non-diabetic end-stage kidney disease (ESKD) appear strong in African Americans. Examination of exome sequencing data in African American T2D-ESKD cases and non-diabetic non-nephropathy controls identified two low-frequency variants in the RREB1 gene, a repressor of the angiotensinogen (AGT) gene previously associated with kidney function, as being associated with T2D-ESKD: rs9379084 (P = 0.00087, OR = 0.26; D1171N) and rs41302867 (P = 0.00078, OR = 0.21; splice site variant). Rs41302867 replicated association in an independent sample of African Americans with T2D-ESKD [rs41302867 P = 0.033 (OR = 0.50)], and a trend towards rs9379084 association was observed (P = 0.070). In European Americans with T2D-ESKD compared with European American population based controls, both RREB1 variants replicated association [rs9379084 P = 1.67 × 10(-4) (OR = 0.54) and rs41302867 P = 0.013 (OR = 0.69)]. Rs9379084 was not associated with non-T2D-ESKD or T2D in African Americans (P = 0.55 and P = 0.37, respectively), but was associated with T2D in European Americans (P = 0.014, OR = 0.65). In African Americans, rs41302867 was associated with non-T2D-ESKD [P = 0.036 (OR = 0.54)] and hypertension attributed ESKD [H-ESKD, P = 0.029 (OR = 0.50)]. A meta-analysis combining African American and European American T2D-ESKD data revealed P = 3.52 × 10(-7) and 3.70 × 10(-5) for rs9379084 and rs41302867 association, respectfully. A locus-wide analysis evaluating putatively functional SNPs revealed several nominal associations with T2D-ESKD, non-T2D-ESKD and T2D in African and European Americans. RREB1 is a large, complex gene which codes a multidomain zinc finger binding protein and transcription factor. We posit that variants in RREB1 modulate seemingly disparate phenotypes (i.e. T2D, T2D-ESKD and non-T2D-ESKD) through altered activity resulting from splice site and missense variants.
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Affiliation(s)
- Jason A Bonomo
- Department of Molecular Medicine and Translational Science, Center for Genomics and Personalized Medicine Research
| | - Meijian Guan
- Center for Genomics and Personalized Medicine Research
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research
| | - Nicholette D Palmer
- Center for Genomics and Personalized Medicine Research, Department of Biochemistry
| | | | | | - Janice P Lea
- Department of Internal Medicine - Nephrology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Carl D Langefeld
- Center for Genomics and Personalized Medicine Research, Department of Biostatistical Sciences
| | - Barry I Freedman
- Center for Genomics and Personalized Medicine Research, Department of Internal Medicine - Nephrology, Wake Forest School of Medicine, Winston Salem, NC 27157, USA and
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Department of Biochemistry,
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Prisco SZ, Prokop JW, Sarkis AB, Yeo NC, Hoffman MJ, Hansen CC, Jacob HJ, Flister MJ, Lazar J. Refined mapping of a hypertension susceptibility locus on rat chromosome 12. Hypertension 2014; 64:883-90. [PMID: 25001272 DOI: 10.1161/hypertensionaha.114.03550] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Previously, we found that transferring 6.1 Mb of salt-sensitive (SS) chromosome 12 (13.4-19.5 Mb) onto the consomic SS-12(BN) background significantly elevated mean arterial pressure in response to an 8% NaCl diet (178±7 versus 144±2 mm Hg; P<0.001). Using congenic mapping, we have now narrowed the blood pressure locus by 86% from a 6.1-Mb region containing 133 genes to an 830-kb region (chr12:14.36-15.19 Mb) with 14 genes. Compared with the SS-12(BN) consomic, the 830-kb blood pressure locus was associated with a ∆+15 mm Hg (P<0.01) increase in blood pressure, which coincided with elevated albuminuria (∆+32 mg/d; P<0.001), proteinuria (∆+48 mg/d; P<0.01), protein casting (∆+154%; P<0.05), and renal fibrosis (∆+79%; P<0.05). Of the 14 genes residing in the 830-kb locus, 8 were differentially expressed, and among these, Chst12 (carbohydrate chondroitin 4 sulfotransferase 12) was most consistently downregulated by 2.6- to 4.5-fold (P<0.05) in both the renal medulla and cortex under normotensive and hypertensive conditions. Moreover, whole genome sequence analysis of overlapping blood pressure loci revealed an ≈86-kb region (chr12:14 541 567-14 627 442 bp) containing single-nucleotide variants near Chst12 that are unique to the hypertensive SS strain when compared with the normotensive Brown Norway, Dahl salt-resistant, and Wistar-Kyoto strains. Finally, the 830-kb interval is syntenic to a region on human chromosome 7 that has been genetically linked to blood pressure, suggesting that insight gained from our SS-12(BN) congenic strain may be translated to a better understanding of human hypertension.
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Affiliation(s)
- Sasha Z Prisco
- From the Human and Molecular Genetics Center (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., C.C.H., H.J.J., M.J.F., J.L.) and Departments of Physiology (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., H.J.J., M.J.F., J.L.), Pediatrics (H.J.J.), and Dermatology (J.L.), Medical College of Wisconsin, Milwaukee
| | - Jeremy W Prokop
- From the Human and Molecular Genetics Center (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., C.C.H., H.J.J., M.J.F., J.L.) and Departments of Physiology (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., H.J.J., M.J.F., J.L.), Pediatrics (H.J.J.), and Dermatology (J.L.), Medical College of Wisconsin, Milwaukee
| | - Allison B Sarkis
- From the Human and Molecular Genetics Center (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., C.C.H., H.J.J., M.J.F., J.L.) and Departments of Physiology (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., H.J.J., M.J.F., J.L.), Pediatrics (H.J.J.), and Dermatology (J.L.), Medical College of Wisconsin, Milwaukee
| | - Nan Cher Yeo
- From the Human and Molecular Genetics Center (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., C.C.H., H.J.J., M.J.F., J.L.) and Departments of Physiology (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., H.J.J., M.J.F., J.L.), Pediatrics (H.J.J.), and Dermatology (J.L.), Medical College of Wisconsin, Milwaukee
| | - Matthew J Hoffman
- From the Human and Molecular Genetics Center (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., C.C.H., H.J.J., M.J.F., J.L.) and Departments of Physiology (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., H.J.J., M.J.F., J.L.), Pediatrics (H.J.J.), and Dermatology (J.L.), Medical College of Wisconsin, Milwaukee
| | - Colin C Hansen
- From the Human and Molecular Genetics Center (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., C.C.H., H.J.J., M.J.F., J.L.) and Departments of Physiology (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., H.J.J., M.J.F., J.L.), Pediatrics (H.J.J.), and Dermatology (J.L.), Medical College of Wisconsin, Milwaukee
| | - Howard J Jacob
- From the Human and Molecular Genetics Center (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., C.C.H., H.J.J., M.J.F., J.L.) and Departments of Physiology (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., H.J.J., M.J.F., J.L.), Pediatrics (H.J.J.), and Dermatology (J.L.), Medical College of Wisconsin, Milwaukee
| | - Michael J Flister
- From the Human and Molecular Genetics Center (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., C.C.H., H.J.J., M.J.F., J.L.) and Departments of Physiology (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., H.J.J., M.J.F., J.L.), Pediatrics (H.J.J.), and Dermatology (J.L.), Medical College of Wisconsin, Milwaukee
| | - Jozef Lazar
- From the Human and Molecular Genetics Center (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., C.C.H., H.J.J., M.J.F., J.L.) and Departments of Physiology (S.Z.P., J.W.P., A.B.S., N.C.Y., M.J.H., H.J.J., M.J.F., J.L.), Pediatrics (H.J.J.), and Dermatology (J.L.), Medical College of Wisconsin, Milwaukee.
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Gomez F, Hirbo J, Tishkoff SA. Genetic variation and adaptation in Africa: implications for human evolution and disease. Cold Spring Harb Perspect Biol 2014; 6:a008524. [PMID: 24984772 DOI: 10.1101/cshperspect.a008524] [Citation(s) in RCA: 91] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Because modern humans originated in Africa and have adapted to diverse environments, African populations have high levels of genetic and phenotypic diversity. Thus, genomic studies of diverse African ethnic groups are essential for understanding human evolutionary history and how this leads to differential disease risk in all humans. Comparative studies of genetic diversity within and between African ethnic groups creates an opportunity to reconstruct some of the earliest events in human population history and are useful for identifying patterns of genetic variation that have been influenced by recent natural selection. Here we describe what is currently known about genetic variation and evolutionary history of diverse African ethnic groups. We also describe examples of recent natural selection in African genomes and how these data are informative for understanding the frequency of many genetic traits, including those that cause disease susceptibility in African populations and populations of recent African descent.
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Affiliation(s)
- Felicia Gomez
- Department of Genetics and Biology, School of Medicine and School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania 19104 Hominid Paleobiology Doctoral Program and The Center for the Advanced Study of Hominid Paleobiology, Department of Anthropology, The George Washington University, Washington, D.C. 20052
| | - Jibril Hirbo
- Department of Genetics and Biology, School of Medicine and School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Sarah A Tishkoff
- Department of Genetics and Biology, School of Medicine and School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania 19104
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79
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Bonomo JA, Ng MCY, Palmer ND, Keaton JM, Larsen CP, Hicks PJ, Langefeld CD, Freedman BI, Bowden DW. Coding variants in nephrin (NPHS1) and susceptibility to nephropathy in African Americans. Clin J Am Soc Nephrol 2014; 9:1434-40. [PMID: 24948143 DOI: 10.2215/cjn.00290114] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND AND OBJECTIVES Presumed genetic risk for diabetic and nondiabetic end stage renal disease is strong in African Americans. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Exome sequencing data from African Americans with type 2 diabetic end stage renal disease and nondiabetic, non-nephropathy controls in the T2D-GENES study (Discovery, n=529 patients and n=535 controls) were evaluated, focusing on missense variants in NPHS1. Associated variants were then evaluated in independent type 2 diabetic end stage renal disease (Replication, n=1305 patients and n=760 controls), nondiabetic end stage renal disease (n=1705), and type 2 diabetes-only, non-nephropathy samples (n=503). All participants were recruited from dialysis facilities and internal medicine clinics across the southeastern United States from 1991 to present. Additional NPHS1 missense variants were identified from exome sequencing resources, genotyped, and sequence kernel association testing was then performed. RESULTS Initial analysis identified rs35238405 (T233A; minor allele frequency=0.0096) as associated with type 2 diabetic end stage renal disease (adjustment for admixture P=0.042; adjustment for admixture+APOL1 P=0.080; odds ratio, 2.89 and 2.36, respectively); with replication in independent type 2 diabetic end stage renal disease samples (P=0.018; odds ratio, 4.30) and nondiabetic end stage renal disease samples (P=0.016; odds ratio, 4.48). In a combined analysis (all patients with end stage renal disease versus all controls), T233A was associated with all-cause end stage renal disease (P=0.0038; odds ratio, 2.82; n=3270 patients and n=1187 controls). A P-value of <0.001 was obtained after adjustment for admixture and APOL1 in sequence kernel association testing. Two additional variants (H800R and Y1174H) were nominally associated with protection from end stage renal disease (P=0.036; odds ratio, 0.44; P=0.0084; odds ratio, 0.040, respectively) in the locus-wide single-variant association tests. CONCLUSIONS Coding variants in NPHS1 are associated with both risk for and protection from common forms of nephropathy in African Americans.
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Affiliation(s)
- Jason A Bonomo
- Departments of Molecular Medicine and Translational Science, Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina; and
| | - Maggie C Y Ng
- Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina; and Biochemistry
| | - Nicholette D Palmer
- Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina; and Biochemistry
| | - Jacob M Keaton
- Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina; and
| | | | - Pamela J Hicks
- Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina; and
| | | | - Carl D Langefeld
- Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina; and Biostatistical Sciences, and
| | | | - Donald W Bowden
- Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina; and Biochemistry,
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80
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Bailey JNC, Palmer ND, Ng MC, Bonomo JA, Hicks PJ, Hester JM, Langefeld CD, Freedman BI, Bowden DW. Analysis of coding variants identified from exome sequencing resources for association with diabetic and non-diabetic nephropathy in African Americans. Hum Genet 2014; 133:769-779. [PMID: 24385048 PMCID: PMC4024071 DOI: 10.1007/s00439-013-1415-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2013] [Accepted: 12/24/2013] [Indexed: 01/22/2023]
Abstract
Prior studies have identified common genetic variants influencing diabetic and non-diabetic nephropathy, diseases which disproportionately affect African Americans. Recently, exome sequencing techniques have facilitated identification of coding variants on a genome-wide basis in large samples. Exonic variants in known or suspected end-stage kidney disease (ESKD) or nephropathy genes can be tested for their ability to identify association either singly or in combination with known associated common variants. Coding variants in genes with prior evidence for association with ESKD or nephropathy were identified in the NHLBI-ESP GO database and genotyped in 5,045 African Americans (3,324 cases with type 2 diabetes associated nephropathy [T2D-ESKD] or non-T2D ESKD, and 1,721 controls) and 1,465 European Americans (568 T2D-ESKD cases and 897 controls). Logistic regression analyses were performed to assess association, with admixture and APOL1 risk status incorporated as covariates. Ten of 31 SNPs were associated in African Americans; four replicated in European Americans. In African Americans, SNPs in OR2L8, OR2AK2, C6orf167 (MMS22L), LIMK2, APOL3, APOL2, and APOL1 were nominally associated (P = 1.8 × 10(-4)-0.044). Haplotype analysis of common and coding variants increased evidence of association at the OR2L13 and APOL1 loci (P = 6.2 × 10(-5) and 4.6 × 10(-5), respectively). SNPs replicating in European Americans were in OR2AK2, LIMK2, and APOL2 (P = 0.0010-0.037). Meta-analyses highlighted four SNPs associated in T2D-ESKD and all-cause ESKD. Results from this study suggest a role for coding variants in the development of diabetic, non-diabetic, and/or all-cause ESKD in African Americans and/or European Americans.
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MESH Headings
- Adult
- Black or African American
- Aged
- Apolipoprotein L1
- Apolipoproteins/genetics
- Databases, Genetic
- Diabetes Mellitus, Type 2/complications
- Diabetes Mellitus, Type 2/ethnology
- Diabetes Mellitus, Type 2/genetics
- Diabetes Mellitus, Type 2/pathology
- Diabetic Nephropathies/ethnology
- Diabetic Nephropathies/etiology
- Diabetic Nephropathies/genetics
- Diabetic Nephropathies/pathology
- Exome
- Female
- Genome-Wide Association Study
- Haplotypes
- Humans
- Kidney Failure, Chronic/ethnology
- Kidney Failure, Chronic/genetics
- Kidney Failure, Chronic/pathology
- Lipoproteins, HDL/genetics
- Male
- Middle Aged
- Open Reading Frames
- Polymorphism, Single Nucleotide
- Sequence Analysis, DNA
- United States
- White People
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Affiliation(s)
- Jessica N. Cooke Bailey
- Program in Molecular Medicine and Translational Science, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Center for Diabetes Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
| | - Nicholette D. Palmer
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Center for Diabetes Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Department of Biochemistry, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
| | - Maggie C.Y. Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Center for Diabetes Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
| | - Jason A. Bonomo
- Program in Molecular Medicine and Translational Science, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Center for Diabetes Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
| | - Pamela J. Hicks
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Center for Diabetes Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Department of Biochemistry, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
| | - Jessica M. Hester
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Center for Diabetes Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
| | - Carl D. Langefeld
- Department of Biostatistical Sciences - Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
| | - Barry I. Freedman
- Department of Internal Medicine - Section on Nephrology, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
| | - Donald W. Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Center for Diabetes Research, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Department of Biochemistry, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
- Department of Internal Medicine - Section on Endocrinology; Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, North Carolina 27157
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81
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McKnight AJ, McKay GJ, Maxwell AP. Genetic and epigenetic risk factors for diabetic kidney disease. Adv Chronic Kidney Dis 2014; 21:287-96. [PMID: 24780457 DOI: 10.1053/j.ackd.2014.03.010] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2014] [Accepted: 03/10/2014] [Indexed: 12/22/2022]
Abstract
Diabetes is increasing at daunting rates worldwide, and approximately 40% of affected individuals will develop kidney complications. Diabetic kidney disease (DKD) is the leading cause of end-stage kidney disease, and there are significant healthcare costs providing appropriate renal replacement therapies to affected individuals. For several decades, investigators have sought to discover inherited risk factors and biomarkers for DKD. In recent years, advances in high-throughput laboratory techniques and computational analyses, coupled with the establishment of multicenter consortia, have helped to identify genetic loci that are replicated across multiple populations. Several genome-wide association studies (GWAS) have been conducted for DKD with further meta-analysis of GWAS and comprehensive "single gene" meta-analyses now published. Despite these efforts, much of the inherited predisposition to DKD remains unexplained. Meta-analyses and integrated-omics pathway studies are being used to help elucidate underlying genetic risks. Epigenetic phenomena are increasingly recognized as important drivers of disease risk, and several epigenome-wide association studies have now been completed. This review describes key findings and ongoing genetic and epigenetic initiatives for DKD.
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Affiliation(s)
- Amy Jayne McKnight
- Nephrology Research, Centre for Public Health, Queen's University of Belfast, Belfast, Northern Ireland, United Kingdom.
| | - Gareth J McKay
- Nephrology Research, Centre for Public Health, Queen's University of Belfast, Belfast, Northern Ireland, United Kingdom
| | - Alexander P Maxwell
- Nephrology Research, Centre for Public Health, Queen's University of Belfast, Belfast, Northern Ireland, United Kingdom
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82
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Stanton RC. Clinical challenges in diagnosis and management of diabetic kidney disease. Am J Kidney Dis 2014; 63:S3-21. [PMID: 24461728 DOI: 10.1053/j.ajkd.2013.10.050] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Accepted: 10/08/2013] [Indexed: 12/11/2022]
Abstract
Diabetic kidney disease (DKD) is a major and increasing worldwide public health issue. There is a great need for implementing treatments that either prevent or significantly slow the progression of DKD. Although there have been significant improvements in management, the increasing numbers of patients with DKD illustrate that current management is not wholly adequate. The reasons for suboptimal management include the lack of early diagnosis, lack of aggressive interventions, and lack of understanding about which interventions are most successful. There are a number of challenges and controversies regarding the current management of patients with DKD. Understanding of these issues is needed in order to provide the best care to patients with DKD. This article describes some of the clinically important challenges associated with DKD: the current epidemiology and cost burden and the role of biopsy in the diagnosis of DKD. Treatment controversies regarding current pharmacologic and nonpharmacologic approaches are reviewed and recommendations based on the published literature are made.
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Affiliation(s)
- Robert C Stanton
- Kidney and Hypertension Division, Joslin Diabetes Center, Boston, MA.
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83
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Bonomo JA, Palmer ND, Hicks PJ, Lea JP, Okusa MD, Langefeld CD, Bowden DW, Freedman BI. Complement factor H gene associations with end-stage kidney disease in African Americans. Nephrol Dial Transplant 2014; 29:1409-14. [PMID: 24586071 DOI: 10.1093/ndt/gfu036] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Mutations in the complement factor H gene (CFH) region associate with renal-limited mesangial proliferative forms of glomerulonephritis including IgA nephropathy (IgAN), dense deposit disease (DDD) and C3 glomerulonephritis (C3GN). Lack of kidney biopsies could lead to under diagnosis of CFH-associated end-stage kidney disease (ESKD) in African Americans (AAs), with incorrect attribution to other causes. A prior genome-wide association study in AAs with non-diabetic ESKD implicated an intronic CFH single nucleotide polymorphism (SNP). METHODS Thirteen CFH SNPs (8 exonic, 2 synonymous, 2 3'UTR, and the previously associated intronic variant rs379489) were tested for association with common forms of non-diabetic and type 2 diabetes-associated (T2D) ESKD in 3770 AAs (1705 with non-diabetic ESKD, 1305 with T2D-ESKD, 760 controls). Most cases lacked kidney biopsies; those with known IgAN, DDD or C3GN were excluded. RESULTS Adjusting for age, gender, ancestry and apolipoprotein L1 gene risk variants, single SNP analyses detected 6 CFH SNPs (5 exonic and the intronic variant) as significantly associated with non-diabetic ESKD (P = 0.002-0.01), three of these SNPs were also associated with T2D-ESKD. Weighted CFH locus-wide Sequence Kernel Association Testing (SKAT) in non-diabetic ESKD (P = 0.00053) and T2D-ESKD (P = 0.047) confirmed significant evidence of association. CONCLUSIONS CFH was associated with commonly reported etiologies of ESKD in the AA population. These results suggest that a subset of cases with ESKD clinically ascribed to the effects of hypertension or glomerulosclerosis actually have CFH-related forms of mesangial proliferative glomerulonephritis. Genetic testing may prove useful to identify the causes of renal-limited kidney disease in patients with ESKD who lack renal biopsies.
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Affiliation(s)
- Jason A Bonomo
- Department of Molecular Medicine and Translational Science, Wake Forest School of Medicine, Winston-Salem, NC, USA Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Nicholette D Palmer
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Pamela J Hicks
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Janice P Lea
- Division of Renal Medicine, Department of Medicine, Emory School of Medicine, Atlanta, GA, USA
| | - Mark D Okusa
- Division of Nephrology, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Carl D Langefeld
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Barry I Freedman
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
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84
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Kuricová K, Tanhäuserová V, Pácal L, Bartáková V, Brožová L, Jarkovský J, Kaňková K. NOS3 894G>T polymorphism is associated with progression of kidney disease and cardiovascular morbidity in type 2 diabetic patients: NOS3 as a modifier gene for diabetic nephropathy? Kidney Blood Press Res 2014; 38:92-8. [PMID: 24603156 DOI: 10.1159/000355757] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/10/2014] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS We have previously associated SNP 894G>T in the NOS3 gene with diabetic nephropathy (DN) using multi-locus analysis. Variant 894G>T has been widely studied as a DN susceptibility factor with contradictory results. In the present study we genotyped 894G>T in the cohort of prospectively followed type 2 diabetics with the aim to investigate its possible role in the progression of DN and development of morbidity and mortality associated with diabetes. METHODS 311 subjects with defined stage of DN were enrolled in the study and followed up for a median of 38 months. We considered three end-points: progression of DN, major cardiovascular event and all-cause mortality. RESULTS Considering baseline GFR, age at enrolment and diabetes duration as confounders, Cox regression analysis identified 894GT genotype as a risk factor for DN progression (HR = 1.843 [95% CI 1.088 - 3.119], P = 0.023) and 894TT genotype as a risk factor for major cardiovascular event (HR = 2.515 [95% CI 1.060 - 5.965], P = 0.036). CONCLUSION We ascertained the significant effect of the NOS3 894G>T variant on DN progression and occurrence of major cardiovascular event in T2DM subjects. Based on these results NOS3 can be considered a modifier gene for DN.
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Affiliation(s)
- Katarína Kuricová
- Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
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85
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Evaluation of candidate nephropathy susceptibility genes in a genome-wide association study of African American diabetic kidney disease. PLoS One 2014; 9:e88273. [PMID: 24551085 PMCID: PMC3923777 DOI: 10.1371/journal.pone.0088273] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2013] [Accepted: 01/09/2014] [Indexed: 01/09/2023] Open
Abstract
Type 2 diabetes (T2D)-associated end-stage kidney disease (ESKD) is a complex disorder resulting from the combined influence of genetic and environmental factors. This study contains a comprehensive genetic analysis of putative nephropathy loci in 965 African American (AA) cases with T2D-ESKD and 1029 AA population-based controls extending prior findings. Analysis was based on 4,341 directly genotyped and imputed single nucleotide polymorphisms (SNPs) in 22 nephropathy candidate genes. After admixture adjustment and correction for multiple comparisons, 37 SNPs across eight loci were significantly associated (1.6E-05<Pemp<0.049). Among these, variants in MYH9 were the most significant (1.6E-05<Pemp<0.049), followed by additional chromosome 22 loci (APOL1, SFI1, and LIMK2). Nominal signals were observed in AGTR1, RPS12, CHN2 and CNDP1. Additional adjustment for APOL1 G1/G2 risk variants attenuated association at MYH9 (Pemp = 0.00026–0.043) while marginally improving significance of other APOL1 SNPs (rs136161, rs713753, and rs767855; Pemp = 0.0060–0.037); association at other loci was markedly reduced except for CHN2 (chimerin; rs17157914, Pemp = 0.029). In addition, SNPs in other candidate loci (FRMD3 and TRPC6) trended toward association with T2D-ESKD (Pemp<0.05). These results suggest that risk contributed by putative nephropathy genes is shared across populations of African and European ancestry.
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86
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Abdullah N, Attia J, Oldmeadow C, Scott RJ, Holliday EG. The architecture of risk for type 2 diabetes: understanding Asia in the context of global findings. Int J Endocrinol 2014; 2014:593982. [PMID: 24744783 PMCID: PMC3976842 DOI: 10.1155/2014/593982] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2013] [Accepted: 01/30/2014] [Indexed: 02/07/2023] Open
Abstract
The prevalence of Type 2 diabetes is rising rapidly in both developed and developing countries. Asia is developing as the epicentre of the escalating pandemic, reflecting rapid transitions in demography, migration, diet, and lifestyle patterns. The effective management of Type 2 diabetes in Asia may be complicated by differences in prevalence, risk factor profiles, genetic risk allele frequencies, and gene-environment interactions between different Asian countries, and between Asian and other continental populations. To reduce the worldwide burden of T2D, it will be important to understand the architecture of T2D susceptibility both within and between populations. This review will provide an overview of known genetic and nongenetic risk factors for T2D, placing the results from Asian studies in the context of broader global research. Given recent evidence from large-scale genetic studies of T2D, we place special emphasis on emerging knowledge about the genetic architecture of T2D and the potential contribution of genetic effects to population differences in risk.
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Affiliation(s)
- Noraidatulakma Abdullah
- School of Biomedical Sciences and Pharmacy, Faculty of Health, University of Newcastle, Newcastle, NSW 2308, Australia
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - John Attia
- Clinical Research Design, IT and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute, Newcastle, NSW 2305, Australia
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, Faculty of Health, University of Newcastle, Newcastle, NSW 2305, Australia
| | - Christopher Oldmeadow
- Clinical Research Design, IT and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute, Newcastle, NSW 2305, Australia
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, Faculty of Health, University of Newcastle, Newcastle, NSW 2305, Australia
| | - Rodney J. Scott
- School of Biomedical Sciences and Pharmacy, Faculty of Health, University of Newcastle, Newcastle, NSW 2308, Australia
- Hunter Area Pathology Service, John Hunter Hospital, Newcastle, NSW 2305, Australia
| | - Elizabeth G. Holliday
- Clinical Research Design, IT and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute, Newcastle, NSW 2305, Australia
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, Faculty of Health, University of Newcastle, Newcastle, NSW 2305, Australia
- *Elizabeth G. Holliday:
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87
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An SS, Palmer ND, Hanley AJG, Ziegler JT, Brown WM, Freedman BI, Register TC, Rotter JI, Guo X, Chen YDI, Wagenknecht LE, Langefeld CD, Bowden DW. Genetic analysis of adiponectin variation and its association with type 2 diabetes in African Americans. Obesity (Silver Spring) 2013; 21:E721-9. [PMID: 23512866 PMCID: PMC3690163 DOI: 10.1002/oby.20419] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2012] [Accepted: 02/04/2013] [Indexed: 01/02/2023]
Abstract
OBJECTIVE Adiponectin is an adipocytokine that has been implicated in a variety of metabolic disorders, including T2D and cardiovascular disease. Studies evaluating genetic variants in ADIPOQ have been contradictory when testing association with T2D in different ethnic groups. DESIGN AND METHODS In this study, 18 SNPs in ADIPOQ were tested for association with plasma adiponectin levels and diabetes status. SNPs were examined in two independent African-American cohorts (nmax = 1,116) from the Insulin Resistance Atherosclerosis Family Study (IRASFS) and the African American-Diabetes Heart Study (AA-DHS). RESULTS Five polymorphisms were nominally associated with plasma adiponectin levels in the meta-analysis (P = 0.035-1.02 × 10(-6) ) including a low frequency arginine to cysteine mutation (R55C) which reduced plasma adiponectin levels to <15% of the mean. Variants were then tested for association with T2D in a meta-analysis of these and the Wake Forest T2D case-control study (n = 3,233 T2D, 2645 non-T2D). Association with T2D was not observed (P ≥ 0.08), suggesting limited influence of ADIPOQ variants on T2D risk. CONCLUSIONS Despite identification of variants associated with adiponectin levels, a detailed genetic analysis of ADIPOQ revealed no association with T2D risk. This puts into question the role of adiponectin in T2D pathogenesis: whether low adiponectin levels are truly causal for or rather a consequence.
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Affiliation(s)
- S. Sandy An
- Department of Biochemistry, Wake Forest School of Medicine,
Winston-Salem, NC
- Center for Genomics and Personalized Medicine Research, Wake Forest
School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine,
Winston-Salem, NC
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine,
Winston-Salem, NC
- Center for Genomics and Personalized Medicine Research, Wake Forest
School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine,
Winston-Salem, NC
| | - Anthony J. G. Hanley
- Nutritional Sciences, Medicine, and Dalla Lana School of Public
Health, University of Toronto, Toronto, Canada
| | - Julie T. Ziegler
- Department of Biostatistical Sciences, Wake Forest School of
Medicine, Winston-Salem, NC
| | - W. Mark Brown
- Department of Biostatistical Sciences, Wake Forest School of
Medicine, Winston-Salem, NC
| | - Barry I. Freedman
- Department of Internal Medicine, Wake Forest School of Medicine,
Winston-Salem, NC
| | - Thomas C. Register
- Department of Pathology, Wake Forest School of Medicine,
Winston-Salem, NC
| | - Jerome I. Rotter
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles,
CA
| | - Xiuqing Guo
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles,
CA
| | - Y.-D. Ida Chen
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles,
CA
| | - Lynne E. Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine,
Winston-Salem, NC
| | - Carl D. Langefeld
- Department of Biostatistical Sciences, Wake Forest School of
Medicine, Winston-Salem, NC
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine,
Winston-Salem, NC
- Center for Genomics and Personalized Medicine Research, Wake Forest
School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine,
Winston-Salem, NC
- Department of Internal Medicine, Wake Forest School of Medicine,
Winston-Salem, NC
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Susceptibility gene search for nephropathy and related traits in Mexican-Americans. Mol Biol Rep 2013; 40:5769-79. [PMID: 24057238 DOI: 10.1007/s11033-013-2680-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2013] [Accepted: 09/14/2013] [Indexed: 02/06/2023]
Abstract
The rising global epidemic of diabetic nephropathy (DN) will likely lead to increase in the prevalence of cardiovascular morbidity and mortality posing a serious burden for public health care. Despite greater understanding of the etiology of diabetes and the development of novel treatment strategies to control blood glucose levels, the prevalence and incidence rate of DN is increasing especially in minority populations including Mexican-Americans. Mexican-Americans with type 2 diabetes (T2DM) are three times more likely to develop microalbuminuria, and four times more likely to develop clinical proteinuria compared to non-Hispanic whites. Furthermore, Mexican-Americans have a sixfold increased risk of developing renal failure secondary to T2DM compared to Caucasians. Prevention and better treatment of DN should be a high priority for both health-care organizations and society at large. Pathogenesis of DN is multi-factorial. Familial clustering of DN-related traits in MAs show that DN and related traits are heritable and that genes play a susceptibility role. While, there has been some progress in identifying genes which when mutated influence an individual's risk, major gene(s) responsible for DN are yet to be identified. Knowledge of the genetic causes of DN is essential for elucidation of its mechanisms, and for adequate classification, prognosis, and treatment. Self-identification and collaboration among researchers with suitable genomic and clinical data for meta-analyses in Mexican-Americans is critical for progress in replicating/identifying DN risk genes in this population. This paper reviews the approaches and recent efforts made to identify genetic variants contributing to risk for DN and related phenotypes in the Mexican-American population.
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89
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DiStefano JK, Taila M, Alvarez ML. Emerging roles for miRNAs in the development, diagnosis, and treatment of diabetic nephropathy. Curr Diab Rep 2013; 13:582-91. [PMID: 23666892 DOI: 10.1007/s11892-013-0386-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Although the causes of diabetic nephropathy are not yet fully known, emerging evidence suggests a role for epigenetic factors in the development of the disease. In particular, microRNAs (miRNAs) are becoming recognized as important mediators of biological processes relevant to diabetic nephropathy. Until recently, investigations of miRNAs in the development of diabetic nephropathy have remained relatively limited; however, the number of reports identifying potential new candidates and mechanisms of impact is presently expanding at a rapid pace. This review seeks to summarize these recent findings, focusing on new candidates and/or novel mechanisms, including the intersection between genetic variation and miRNA function in modulating disease expression, emerging in the field. We also review the latest advances in the diagnostic and therapeutic potential of miRNAs in the treatment of diabetic nephropathy.
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Affiliation(s)
- Johanna K DiStefano
- Diabetes, Cardiovascular and Metabolic Diseases Division, Translational Genomics Research Institute, Phoenix, AZ 85004, USA.
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90
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A multi-platform draft de novo genome assembly and comparative analysis for the Scarlet Macaw (Ara macao). PLoS One 2013; 8:e62415. [PMID: 23667475 PMCID: PMC3648530 DOI: 10.1371/journal.pone.0062415] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2013] [Accepted: 03/21/2013] [Indexed: 12/31/2022] Open
Abstract
Data deposition to NCBI Genomes: This Whole Genome Shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession AMXX00000000 (SMACv1.0, unscaffolded genome assembly). The version described in this paper is the first version (AMXX01000000). The scaffolded assembly (SMACv1.1) has been deposited at DDBJ/EMBL/GenBank under the accession AOUJ00000000, and is also the first version (AOUJ01000000). Strong biological interest in traits such as the acquisition and utilization of speech, cognitive abilities, and longevity catalyzed the utilization of two next-generation sequencing platforms to provide the first-draft de novo genome assembly for the large, new world parrot Ara macao (Scarlet Macaw). Despite the challenges associated with genome assembly for an outbred avian species, including 951,507 high-quality putative single nucleotide polymorphisms, the final genome assembly (>1.035 Gb) includes more than 997 Mb of unambiguous sequence data (excluding N's). Cytogenetic analyses including ZooFISH revealed complex rearrangements associated with two scarlet macaw macrochromosomes (AMA6, AMA7), which supports the hypothesis that translocations, fusions, and intragenomic rearrangements are key factors associated with karyotype evolution among parrots. In silico annotation of the scarlet macaw genome provided robust evidence for 14,405 nuclear gene annotation models, their predicted transcripts and proteins, and a complete mitochondrial genome. Comparative analyses involving the scarlet macaw, chicken, and zebra finch genomes revealed high levels of nucleotide-based conservation as well as evidence for overall genome stability among the three highly divergent species. Application of a new whole-genome analysis of divergence involving all three species yielded prioritized candidate genes and noncoding regions for parrot traits of interest (i.e., speech, intelligence, longevity) which were independently supported by the results of previous human GWAS studies. We also observed evidence for genes and noncoding loci that displayed extreme conservation across the three avian lineages, thereby reflecting their likely biological and developmental importance among birds.
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91
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Maeda S, Imamura M, Kurashige M, Araki S, Suzuki D, Babazono T, Uzu T, Umezono T, Toyoda M, Kawai K, Imanishi M, Hanaoka K, Maegawa H, Uchigata Y, Hosoya T. Replication study for the association of 3 SNP loci identified in a genome-wide association study for diabetic nephropathy in European type 1 diabetes with diabetic nephropathy in Japanese patients with type 2 diabetes. Clin Exp Nephrol 2013; 17:866-71. [PMID: 23543049 DOI: 10.1007/s10157-013-0797-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2013] [Accepted: 03/11/2013] [Indexed: 12/21/2022]
Abstract
BACKGROUND A recent genome-wide association study for diabetic nephropathy in European type 1 diabetes identified 3 candidate loci for diabetic nephropathy. In this study, we examined the association of the 3 single nucleotide polymorphism (SNP) loci with susceptibility to diabetic nephropathy in Japanese subjects with type 2 diabetes. METHODS We genotyped 3 SNPs, rs7583877 in AFF3, rs12437854 in the RGMA-MCTP2 locus and rs7588550 in ERBB4, for 2,300 Japanese patients with type 2 diabetes [initial study, 1,055 nephropathy cases with overt proteinuria or with end-stage renal disease (ESRD) and 1,245 control patients with normoalbuminuria]. The association of these SNPs with diabetic nephropathy was examined by using a logistic regression analysis. RESULTS We observed a significant association of rs7588550 in ERBB4 with diabetic nephropathy in the Japanese patients with type 2 diabetes, although the effect direction was not consistent with that in the European study [p = 0.0126, odds ratio (OR) = 0.79, 95 % confidence interval (CI): 0.65-0.95]. We further examined the association of rs7588550 with diabetic nephropathy in an independent Japanese cohort (596 nephropathy cases and 311 controls) and observed the same trend of the association with the initial study. We did not observe any association of the remaining 2 SNP loci with diabetic nephropathy in the present Japanese sample. CONCLUSION The association of SNP loci derived from GWAS in European type 1 diabetes with diabetic nephropathy was not replicated in the Japanese patients with type 2 diabetes, although the ERBB4 locus may have some effect also in Japanese type 2 diabetes.
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Affiliation(s)
- Shiro Maeda
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan,
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92
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Abstract
Arterial hypertension is prevalent among kidney transplant recipients. The multifactorial pathogenesis involves the interaction of the donor and the recipient's genetic backgrounds with several environmental parameters that may precede or follow the transplant procedure (eg, the nature of the renal disease, the duration of the chronic kidney disease phase and maintenance dialytic therapy, the commonly associated cardiovascular disease with atherosclerosis and arteriosclerosis, the renal mass at implantation, the immunosuppressive regimen used, life of the graft, and de novo medical and surgical complications that may occur after a transplant). Among calcineurin inhibitors, tacrolimus seems to have a better cardiovascular profile. Steroid-free protocols and calcineurin inhibitor-free regimens seem to be associated with better blood pressure control. Posttransplant hypertension is a major amplifier of the chronic kidney disease-cardiovascular disease continuum. Despite the adverse effects of hypertension on graft and patient survival, blood pressure control remains poor because of the high cardiovascular risk profile of the donor-recipient pair. Although the optimal blood pressure level remains unknown, it is recommended to maintain the blood pressure at < 130/80 mm Hg and < 125/75 mm Hg in the absence or presence of proteinuria.
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Affiliation(s)
- Antoine Barbari
- Renal Transplantation Unit, Rafik Hariri University Hospital, Bir Hassan, Beirut-Lebanon.
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93
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Ng MCY, Saxena R, Li J, Palmer ND, Dimitrov L, Xu J, Rasmussen-Torvik LJ, Zmuda JM, Siscovick DS, Patel SR, Crook ED, Sims M, Chen YDI, Bertoni AG, Li M, Grant SFA, Dupuis J, Meigs JB, Psaty BM, Pankow JS, Langefeld CD, Freedman BI, Rotter JI, Wilson JG, Bowden DW. Transferability and fine mapping of type 2 diabetes loci in African Americans: the Candidate Gene Association Resource Plus Study. Diabetes 2013; 62:965-76. [PMID: 23193183 PMCID: PMC3581206 DOI: 10.2337/db12-0266] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2012] [Accepted: 08/21/2012] [Indexed: 01/08/2023]
Abstract
Type 2 diabetes (T2D) disproportionally affects African Americans (AfA) but, to date, genetic variants identified from genome-wide association studies (GWAS) are primarily from European and Asian populations. We examined the single nucleotide polymorphism (SNP) and locus transferability of 40 reported T2D loci in six AfA GWAS consisting of 2,806 T2D case subjects with or without end-stage renal disease and 4,265 control subjects from the Candidate Gene Association Resource Plus Study. Our results revealed that seven index SNPs at the TCF7L2, KLF14, KCNQ1, ADCY5, CDKAL1, JAZF1, and GCKR loci were significantly associated with T2D (P < 0.05). The strongest association was observed at TCF7L2 rs7903146 (odds ratio [OR] 1.30; P = 6.86 × 10⁻⁸). Locus-wide analysis demonstrated significant associations (P(emp) < 0.05) at regional best SNPs in the TCF7L2, KLF14, and HMGA2 loci as well as suggestive signals in KCNQ1 after correction for the effective number of SNPs at each locus. Of these loci, the regional best SNPs were in differential linkage disequilibrium (LD) with the index and adjacent SNPs. Our findings suggest that some loci discovered in prior reports affect T2D susceptibility in AfA with similar effect sizes. The reduced and differential LD pattern in AfA compared with European and Asian populations may facilitate fine mapping of causal variants at loci shared across populations.
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Affiliation(s)
- Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
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94
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Alkayyali S, Lajer M, Deshmukh H, Ahlqvist E, Colhoun H, Isomaa B, Rossing P, Groop L, Lyssenko V. Common variant in the HMGA2 gene increases susceptibility to nephropathy in patients with type 2 diabetes. Diabetologia 2013; 56:323-9. [PMID: 23111731 DOI: 10.1007/s00125-012-2760-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2012] [Accepted: 10/08/2012] [Indexed: 12/20/2022]
Abstract
AIMS/HYPOTHESIS Type 2 diabetes is a chronic metabolic disorder associated with devastating microvascular complications. Genome-wide association studies have identified more than 60 genetic variants associated with type 2 diabetes and/or glucose and insulin traits, but their role in the progression of diabetes is not established. The aim of this study was to explore whether these variants were also associated with the development of nephropathy in patients with type 2 diabetes. METHODS We studied 28 genetic variants in 2,229 patients with type 2 diabetes from the local Malmö Scania Diabetes Registry (SDR) published during 2007-2010. Diabetic nephropathy (DN) was defined as micro- or macroalbuminuria and/or end-stage renal disease. Estimated glomerular filtration rate (eGFR) was assessed using the MDRD-4 formula. Replication genotyping of rs1531343 was performed in diabetic (Steno type 2 diabetes [n = 345], Genetics of Diabetes Audit and Research in Tayside Scotland [Go-DARTS] [n = 784]) and non-diabetic (Malmö Preventive Project [n = 2,523], Botnia study [n = 2,247]) cohorts. RESULTS In the SDR, HMGA2 single-nucleotide polymorphism rs1531343 was associated with DN (OR 1.50, 95% CI 1.20, 1.87, p = 0.00035). In the combined analysis totalling 3,358 patients with type 2 diabetes (n = 1,233 cases, n = 2,125 controls), carriers of the C-allele had a 1.45-fold increased risk of developing nephropathy (95% CI 1.20, 1.75, p = 0.00010). Furthermore, the risk C-allele was associated with lower eGFR in patients with type 2 diabetes (n = 2,499, β ± SEM, -3.7 ± 1.2 ml/min, p = 0.002) and also in non-diabetic individuals (n = 17,602, β ± SEM, -0.008 ± 0.003 ml/min (log( e )), p = 0.006). CONCLUSIONS/INTERPRETATION These data demonstrate that the HMGA2 variant seems to be associated with increased risk of developing nephropathy in patients with type 2 diabetes and lower eGFR in both diabetic and non-diabetic individuals and could thus be a common denominator in the pathogenesis of type 2 diabetes and kidney complications.
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Affiliation(s)
- S Alkayyali
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, CRC, Skåne University Hospital, Malmö, Sweden
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95
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Bailey JNC, Lu L, Chou JW, Xu J, McWilliams DR, Howard TD, Freedman BI, Bowden DW, Langefeld CD, Palmer ND. The Role of Copy Number Variation in African Americans with Type 2 Diabetes-Associated End Stage Renal Disease. J Mol Genet Med 2013; 7:61. [PMID: 24707315 DOI: 10.4172/1747-0862.1000061] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
This study investigated the association of copy number variants (CNVs) in type 2 diabetes (T2D) and T2D-associated end-stage renal disease (ESRD) in African Americans. Using the Affymetrix 6.0 array, >900,000 CNV probes spanning the genome were interrogated in 965 African Americans with T2D-ESRD and 1029 non-diabetic African American controls. Previously identified and novel CNVs were separately analyzed and were evaluated for insertion/deletion status and then used as predictors in a logistic regression model to test for association. One common CNV insertion on chromosome 1 was significantly associated with T2D-ESRD (p=6.17×10-5, OR=1.63) after multiple comparison correction. This CNV region encompasses the genes AMY2A and AMY2B, which encode amylase isoenzymes produced by the pancreas. Additional common and novel CNVs approaching significance with disease were also detected. These exploratory results require further replication but suggest the involvement of the AMY2A/AMY2B CNV in T2D and/or T2D-ESRD, and indicate that CNVs may contribute to susceptibility for these diseases.
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Affiliation(s)
- Jessica N Cooke Bailey
- Program in Molecular Medicine and Translational Science, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA ; Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA ; Center for Diabetes Research, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA
| | - Lingyi Lu
- Department of Biostatistical Sciences - Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA
| | - Jeff W Chou
- Department of Biostatistical Sciences - Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA
| | - Jianzhao Xu
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA
| | - David R McWilliams
- Department of Biostatistical Sciences - Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA
| | - Timothy D Howard
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA
| | - Barry I Freedman
- Department of Internal Medicine - Section on Nephrology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA ; Center for Diabetes Research, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA ; Department of Biochemistry, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA ; Department of Internal Medicine - Section on Endocrinology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA
| | - Carl D Langefeld
- Department of Biostatistical Sciences - Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA
| | - Nicholette D Palmer
- Program in Molecular Medicine and Translational Science, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA ; Center for Diabetes Research, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA ; Department of Biochemistry, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA
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96
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Abstract
For more than 20 years, evidence in favor of a genetic basis for the susceptibility of DN in T2D has provided a foundation for studies aimed at identifying the causal genes responsible for its development. During this period, strategies used to map genes for DN have been driven by our understanding of variation across our genome and the technologies available to interrogate it; as both have evolved, so to have our approaches. The advent of next-generation sequencing technology and increased interest in the search for rare variants has begun to swing the pendulum of these efforts away from population-based studies and back to studies of pedigrees. As the field moves forward, family based approaches should greatly facilitate efforts to identify variants in genes that have a major affect on the risk of DN in T2D. To be successful, the ascertainment and comprehensive study of families with multiple affected members is critical.
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Affiliation(s)
- Marcus G Pezzolesi
- Section on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA 02215, USA.
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97
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Li JY, Tan YZ, Feng GY, He L, Zhou LG, Lu H. [Advances of genetics in diabetic nephropathy]. YI CHUAN = HEREDITAS 2012; 34:1537-44. [PMID: 23262100 DOI: 10.3724/sp.j.1005.2012.01537] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Diabetic nephropathy (DN) is one of the most serious chronic complications of diabetes mellitus. The observed incidence patterns in different ethnics and familial clustering have suggested that the genetic factor plays an important role in the development and progression of DN. This paper reviews the recent advances on genetics of DN, including candidate genes association studies, linkage studies and genome-wide association studies (GWASs). Candidate genes association studies and meta-analysis showed that a few candidate genes have been reproducibly associated with DN, such as ACE, AGT and PPARG genes. Linkage studies and genome-wide linkage studies have also identified susceptibility chromosomal loci. With the development of high-throughput sequencing and chip techniques, GWAS has become an important strategy to identify variants responsible for DN. The genetic factor has been the significant contribution to the pathobiology of DN. However, it is not the only cause of the pathobiology of DN, because the environment factor also influences the pathobiology of DN. Nonetheless, genetic studies may provide valuable information for the pathobiology of nephropathy and potential targets of its treatment.
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Affiliation(s)
- Jun-Yan Li
- Diabetes Research Institute, Department of Endocrinology, Shanghai Key Laboratory of Traditional Chinese Clinical Medice, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
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98
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Yu ZY, Chen LS, Zhang LC, Zhou TB. Meta-analysis of the relationship between ACE I/D gene polymorphism and end-stage renal disease in patients with diabetic nephropathy. Nephrology (Carlton) 2012; 17:480-7. [PMID: 22385293 DOI: 10.1111/j.1440-1797.2012.01592.x] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
AIMS Diabetic nephropathy (DN) is the major cause for end-stage renal disease (ESRD) and the pathogenesis for DN developing into ESRD is not clear at present. Results from published studies on the relationship between angiotensin-converting enzyme (ACE) insertion/deletion (I/D) gene polymorphism and ESRD risk in DN patients are still conflicting. This meta-analysis was performed to evaluate the association between ACE I/D gene polymorphism and ESRD risk in DN patients. METHODS Association studies were identified from the databases of PubMed, Embase and Cochrane Library on 1 October 2011, and eligible investigations were identified and synthesized using the meta-analysis method. Results were expressed using odds ratios (OR) for dichotomous data and 95% confidence intervals (CI) were also calculated. RESULTS Twelve studies reporting the relation between ACE I/D gene polymorphism and ESRD risk in DN patients were identified. In overall populations, there was a notable association between D allele or DD genotype and ESRD susceptibility (D: OR = 1.32, 95% CI: 1.11-1.56, P = 0.002; DD: OR = 1.67, 95% CI: 1.25-2.21, P = 0.0004). In the sub-group analysis according to ethnicity, D allele or DD genotype was associated with ESRD risk in Asians. In Caucasians, the association of DD genotype with ESRD risk was observed, but the D allele was not. Furthermore, ACE I/D gene polymorphism was associated with ESRD risk in patients with DN due to diabetes mellitus type 2, but the association was not found for patients with DN due to diabetes mellitus type-1. CONCLUSIONS Our results indicate that D allele or DD homozygous is associated with the ESRD susceptibility in DN patients. However, more investigations are required to further this association.
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Affiliation(s)
- Ze-Yan Yu
- Postgraduate School of GuangXi Medical University, Nanning, Guangxi, China
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99
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Golden SH, Brown A, Cauley JA, Chin MH, Gary-Webb TL, Kim C, Sosa JA, Sumner AE, Anton B. Health disparities in endocrine disorders: biological, clinical, and nonclinical factors--an Endocrine Society scientific statement. J Clin Endocrinol Metab 2012; 97:E1579-639. [PMID: 22730516 PMCID: PMC3431576 DOI: 10.1210/jc.2012-2043] [Citation(s) in RCA: 281] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE The aim was to provide a scholarly review of the published literature on biological, clinical, and nonclinical contributors to race/ethnic and sex disparities in endocrine disorders and to identify current gaps in knowledge as a focus for future research needs. PARTICIPANTS IN DEVELOPMENT OF SCIENTIFIC STATEMENT: The Endocrine Society's Scientific Statement Task Force (SSTF) selected the leader of the statement development group (S.H.G.). She selected an eight-member writing group with expertise in endocrinology and health disparities, which was approved by the Society. All discussions regarding the scientific statement content occurred via teleconference or written correspondence. No funding was provided to any expert or peer reviewer, and all participants volunteered their time to prepare this Scientific Statement. EVIDENCE The primary sources of data on global disease prevalence are from the World Health Organization. A comprehensive literature search of PubMed identified U.S. population-based studies. Search strategies combining Medical Subject Headings terms and keyword terms and phrases defined two concepts: 1) racial, ethnic, and sex differences including specific populations; and 2) the specific endocrine disorder or condition. The search identified systematic reviews, meta-analyses, large cohort and population-based studies, and original studies focusing on the prevalence and determinants of disparities in endocrine disorders. consensus process: The writing group focused on population differences in the highly prevalent endocrine diseases of type 2 diabetes mellitus and related conditions (prediabetes and diabetic complications), gestational diabetes, metabolic syndrome with a focus on obesity and dyslipidemia, thyroid disorders, osteoporosis, and vitamin D deficiency. Authors reviewed and synthesized evidence in their areas of expertise. The final statement incorporated responses to several levels of review: 1) comments of the SSTF and the Advocacy and Public Outreach Core Committee; and 2) suggestions offered by the Council and members of The Endocrine Society. CONCLUSIONS Several themes emerged in the statement, including a need for basic science, population-based, translational and health services studies to explore underlying mechanisms contributing to endocrine health disparities. Compared to non-Hispanic whites, non-Hispanic blacks have worse outcomes and higher mortality from certain disorders despite having a lower (e.g. macrovascular complications of diabetes mellitus and osteoporotic fractures) or similar (e.g. thyroid cancer) incidence of these disorders. Obesity is an important contributor to diabetes risk in minority populations and to sex disparities in thyroid cancer, suggesting that population interventions targeting weight loss may favorably impact a number of endocrine disorders. There are important implications regarding the definition of obesity in different race/ethnic groups, including potential underestimation of disease risk in Asian-Americans and overestimation in non-Hispanic black women. Ethnic-specific cut-points for central obesity should be determined so that clinicians can adequately assess metabolic risk. There is little evidence that genetic differences contribute significantly to race/ethnic disparities in the endocrine disorders examined. Multilevel interventions have reduced disparities in diabetes care, and these successes can be modeled to design similar interventions for other endocrine diseases.
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Affiliation(s)
- Sherita Hill Golden
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
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100
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Flister MJ, Prisco SZ, Sarkis AB, O'Meara CC, Hoffman M, Wendt-Andrae J, Moreno C, Lazar J, Jacob HJ. Identification of hypertension susceptibility loci on rat chromosome 12. Hypertension 2012; 60:942-8. [PMID: 22868394 DOI: 10.1161/hypertensionaha.112.198200] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Previous studies have identified multiple blood pressure and renal disease quantitative trait loci located on rat chromosome 12. In the present study, we narrowed blood pressure loci using a series of overlapping Dahl salt-sensitive/Mcwi (SS)-12 Brown Norway (BN) congenic lines. We found that transferring 6.1 Mb of SS chromosome 12 (13.4-19.5 Mb) onto the consomic SS-12BN background significantly elevated blood pressure on 1% NaCl (146±6 versus 127±1 mm Hg; P<0.001) and 8% NaCl diets (178±7 versus 144±2 mm Hg; P<0.001). Compared with the SS-12BN consomic, these animals also had significantly elevated albumin (218±31 versus 104±8 mg/d; P<0.001) and protein excretion (347±41 versus 195±12 mg/d; P<0.001) on a 1% NaCl diet. Elevated blood pressure, albuminuria, and proteinuria coincided with greater renal and cardiac damage, demonstrating that SS allele(s) within the 6.1 Mb congenic interval are associated with strong cardiovascular disease phenotypes. Sequence analysis of the 6.1 Mb congenic region revealed 12 673 single nucleotide polymorphisms between SS and BN rats. Of these polymorphisms, 293 lie within coding regions, and 18 resulted in nonsynonymous changes in conserved genes, of which 5 were predicted to be potentially damaging to protein function. Syntenic regions in human chromosome 7 have also been identified in multiple linkage and association studies of cardiovascular disease, suggesting that genetic variants underlying cardiovascular phenotypes in this congenic strain can likely be translated to a better understanding of human hypertension.
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Affiliation(s)
- Michael J Flister
- Human and Molecular Genetics Center, Department of Physiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226, USA
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