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Brunner A, Thalhammer-Thurner GC, Willenbacher W, Haun M, Zelger BG, Willenbacher E. In-depth molecular analysis of lymphomas with lymphoplasmacytic differentiation may provide more precise diagnosis and rational treatment allocation. Ann Hematol 2024; 103:553-563. [PMID: 37951851 PMCID: PMC10798918 DOI: 10.1007/s00277-023-05531-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 10/30/2023] [Indexed: 11/14/2023]
Abstract
We performed a molecular analysis of formalin-fixed paraffin embedded and decalcified bone marrow trephine biopsies of 41 patients with a B-cell disorder with lymphoplasmacytic differentiation to enable a more precise diagnosis and to describe potentially prognostic and therapeutic relevant mutations. Analysis was performed with a commercially available next-generation sequencing (NGS) lymphoma panel (Lymphoma Solution, SophiaGenetics). Results were correlated with clinical and pathological parameters. Our group covered a spectrum of B-cell disorders with plasmacytic differentiation ranging from Waldenstroem's macroglobulinemia (WM), to small-B-cell lymphomas with plasmacytic differentiation (SBCL-PC) to IgM myeloma (MM). The most helpful diagnostic criteria included morphology and immuno-phenotype as a prerequisite for the interpretation of molecular analysis. MYD88 mutation was present in nearly all WM, but also in 50% of SBCL-PCs, while MM were consistently negative. Driver mutations, such as TP53, were already detectable early in the course of the respective diseases indicating a higher risk of progression, transformation, and reduced progression-free survival. In addition, we report on a novel BIRC3 frameshift mutation in one case of a progressive WM. Our data indicate that patients with LPL/WM might benefit from thorough pathological work-up and detailed molecular analysis in terms of precise diagnosis and targeted treatment allocation.
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Affiliation(s)
- Andrea Brunner
- Department of Pathology, Neuropathology and Molecular Pathology, Innsbruck Medical University, Innsbruck, Austria.
| | | | - Wolfgang Willenbacher
- Internal Medicine V, Haematology & Oncology, Innsbruck Medical University, Innsbruck, Austria
- Syndena GmbH, Connect to Cure, Innsbruck, Austria
| | - Margot Haun
- Department of Pathology, Neuropathology and Molecular Pathology, Innsbruck Medical University, Innsbruck, Austria
- Institute of Pathophysiology, Innsbruck Medical University, Innsbruck, Austria
| | - Bettina Gudrun Zelger
- Department of Pathology, Neuropathology and Molecular Pathology, Innsbruck Medical University, Innsbruck, Austria
| | - Ella Willenbacher
- Internal Medicine V, Haematology & Oncology, Innsbruck Medical University, Innsbruck, Austria
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2
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El-Gazzar A, Voraberger B, Rauch F, Mairhofer M, Schmidt K, Guillemyn B, Mitulović G, Reiterer V, Haun M, Mayr MM, Mayr JA, Kimeswenger S, Drews O, Saraff V, Shaw N, Fratzl-Zelman N, Symoens S, Farhan H, Högler W. Bi-allelic mutation in SEC16B alters collagen trafficking and increases ER stress. EMBO Mol Med 2023; 15:e16834. [PMID: 36916446 PMCID: PMC10086588 DOI: 10.15252/emmm.202216834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 02/15/2023] [Accepted: 02/17/2023] [Indexed: 03/16/2023] Open
Abstract
Osteogenesis imperfecta (OI) is a genetically and clinically heterogeneous disorder characterized by bone fragility and reduced bone mass generally caused by defects in type I collagen structure or defects in proteins interacting with collagen processing. We identified a homozygous missense mutation in SEC16B in a child with vertebral fractures, leg bowing, short stature, muscular hypotonia, and bone densitometric and histomorphometric features in keeping with OI with distinct ultrastructural features. In line with the putative function of SEC16B as a regulator of trafficking between the ER and the Golgi complex, we showed that patient fibroblasts accumulated type I procollagen in the ER and exhibited a general trafficking defect at the level of the ER. Consequently, patient fibroblasts exhibited ER stress, enhanced autophagosome formation, and higher levels of apoptosis. Transfection of wild-type SEC16B into patient cells rescued the collagen trafficking. Mechanistically, we show that the defect is a consequence of reduced SEC16B expression, rather than due to alterations in protein function. These data suggest SEC16B as a recessive candidate gene for OI.
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Affiliation(s)
- Ahmed El-Gazzar
- Department of Paediatrics and Adolescent Medicine, Johannes Kepler University Linz, Linz, Austria
| | - Barbara Voraberger
- Department of Paediatrics and Adolescent Medicine, Johannes Kepler University Linz, Linz, Austria
| | - Frank Rauch
- Shriners Hospital for Children-Canada, Montreal, QC, Canada.,Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Mario Mairhofer
- Department of Medical Engineering and Applied Social Sciences, University of Applied Sciences Upper Austria, Linz, Austria
| | - Katy Schmidt
- Centre for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria
| | - Brecht Guillemyn
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University Hospital, Ghent University, Ghent, Belgium
| | - Goran Mitulović
- Clinical Department of Laboratory Medicine Proteomics Core Facility, Medical University Vienna, Vienna, Austria
| | - Veronika Reiterer
- Institute of Pathophysiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Margot Haun
- Institute of Pathophysiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Michaela M Mayr
- Institute of Pathophysiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Johannes A Mayr
- University Children's Hospital, Salzburger Landeskliniken (SALK) and Paracelsus Medical University (PMU), Salzburg, Austria
| | | | - Oliver Drews
- Biomedical Mass Spectrometry, Center for Medical Research, Johannes Kepler University, Linz, Austria
| | - Vrinda Saraff
- Department of Endocrinology and Diabetes, Birmingham Women's and Children's Hospital NHS Foundation Trust, Birmingham, UK.,Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Nick Shaw
- Department of Endocrinology and Diabetes, Birmingham Women's and Children's Hospital NHS Foundation Trust, Birmingham, UK.,The Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - Nadja Fratzl-Zelman
- 1st Medical Department Hanusch Hospital, Ludwig Boltzmann Institute of Osteology at Hanusch Hospital of OEGK and AUVA Trauma Centre Meidling, Vienna, Austria.,Vienna Bone and Growth Center, Vienna, Austria
| | - Sofie Symoens
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University Hospital, Ghent University, Ghent, Belgium
| | - Hesso Farhan
- Institute of Pathophysiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Wolfgang Högler
- Department of Paediatrics and Adolescent Medicine, Johannes Kepler University Linz, Linz, Austria.,Department of Endocrinology and Diabetes, Birmingham Women's and Children's Hospital NHS Foundation Trust, Birmingham, UK.,The Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
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3
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Coassin S, Hermann-Kleiter N, Haun M, Wahl S, Wilson R, Paulweber B, Kunze S, Meitinger T, Strauch K, Peters A, Waldenberger M, Kronenberg F, Lamina C. A genome-wide analysis of DNA methylation identifies a novel association signal for Lp(a) concentrations in the LPA promoter. PLoS One 2020; 15:e0232073. [PMID: 32343731 PMCID: PMC7188291 DOI: 10.1371/journal.pone.0232073] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 03/19/2020] [Indexed: 12/24/2022] Open
Abstract
Lipoprotein(a) [Lp(a)] is a major cardiovascular risk factor, which is largely genetically determined by one major gene locus, the LPA gene. Many aspects of the transcriptional regulation of LPA are poorly understood and the role of epigenetics has not been addressed yet. Therefore, we conducted an epigenome-wide analysis of DNA methylation on Lp(a) levels in two population-based studies (total n = 2208). We identified a CpG site in the LPA promoter which was significantly associated with Lp(a) concentrations. Surprisingly, the identified CpG site was found to overlap the SNP rs76735376. We genotyped this SNP de-novo in three studies (total n = 7512). The minor allele of rs76735376 (1.1% minor allele frequency) was associated with increased Lp(a) values (p = 1.01e-59) and explained 3.5% of the variation of Lp(a). Statistical mediation analysis showed that the effect on Lp(a) is rather originating from the base change itself and is not mediated by DNA methylation levels. This finding is supported by eQTL data from 208 liver tissue samples from the GTEx project, which shows a significant association of the rs76735376 minor allele with increased LPA expression. To evaluate, whether the association signal at rs76735376 may actually be derived from a stronger eQTL signal in LD with this SNP, eQTL association results of all correlated SNPs (r2≥0.1) were integrated with genetic association results. This analysis pinpointed to rs10455872 as the potential trigger of the effect of rs76735376. Furthermore, both SNPs coincide with short apo(a) isoforms. Adjusting for both, rs10455872 and the apo(a) isoforms diminished the effect size of rs76735376 to 5.38 mg/dL (p = 0.0463). This indicates that the effect of rs76735376 can be explained by both an independent effect of the SNP and a strong correlation with rs10455872 and apo(a) isoforms.
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Affiliation(s)
- Stefan Coassin
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Natascha Hermann-Kleiter
- Department of Genetics and Pharmacology, Institute of Cell Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Margot Haun
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Simone Wahl
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
| | - Rory Wilson
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Private Medical University, Salzburg, Austria
| | - Sonja Kunze
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Meitinger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
- Institute of Human Genetics, Technische Universität München, Munich, Germany
- German Research Center for Environmental Health, Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Konstantin Strauch
- German Research Center for Environmental Health, Institute of Genetic Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Institute of Medical Informatics, Biometry, and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Florian Kronenberg
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Claudia Lamina
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
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Willenbacher E, Willenbacher W, Wolf DG, Zelger B, Peschel I, Manzl C, Haun M, Brunner A. Digital PCR in bone marrow trephine biopsies is highly sensitive for MYD88 L265P detection in lymphomas with plasmacytic/plasmacytoid differentiation. Br J Haematol 2019; 186:189-191. [PMID: 30763982 DOI: 10.1111/bjh.15792] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Ella Willenbacher
- Internal Medicine V. Haematology and Oncology, Innsbruck Medical University, Innsbruck, Austria
| | - Wolfgang Willenbacher
- Internal Medicine V. Haematology and Oncology, Innsbruck Medical University, Innsbruck, Austria.,Oncotyrol, Centre for Personalized Cancer Medicine, Innsbruck, Austria
| | - Dominik G Wolf
- Internal Medicine V. Haematology and Oncology, Innsbruck Medical University, Innsbruck, Austria.,Medical Clinic 3, Oncology, Haematology, Rheumatology and Immunoncology, University Clinic Bonn (UKB), Bonn, Germany
| | - Bettina Zelger
- Institute of Pathology, Neuropathology and Molecular Pathology, Innsbruck Medical University, Innsbruck, Austria
| | - Ines Peschel
- Institute for Medical and Chemical Laboratory Diagnostics, Medical University Innsbruck, Innsbruck, Austria
| | - Claudia Manzl
- Division of General Pathology, Department of Pathology, Innsbruck Medical University, Innsbruck, Austria
| | - Margot Haun
- Institute of Pathology, Neuropathology and Molecular Pathology, Innsbruck Medical University, Innsbruck, Austria
| | - Andrea Brunner
- Institute of Pathology, Neuropathology and Molecular Pathology, Innsbruck Medical University, Innsbruck, Austria
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5
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Coassin S, Schönherr S, Weissensteiner H, Erhart G, Forer L, Losso JL, Lamina C, Haun M, Utermann G, Paulweber B, Specht G, Kronenberg F. A comprehensive map of single-base polymorphisms in the hypervariable LPA kringle IV type 2 copy number variation region. J Lipid Res 2018; 60:186-199. [PMID: 30413653 PMCID: PMC6314250 DOI: 10.1194/jlr.m090381] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Indexed: 12/21/2022] Open
Abstract
Lipoprotein (a) [Lp(a)] concentrations are among the strongest genetic risk factors for cardiovascular disease and present pronounced interethnic and interindividual differences. Approximately 90% of Lp(a) variance is controlled by the LPA gene, which contains a 5.6-kb-large copy number variation [kringle IV type 2 (KIV-2) repeat] that generates >40 protein isoforms. Variants within the KIV-2 region are not called in common sequencing projects, leaving up to 70% of the LPA coding region currently unaddressed. To completely assess the variability in LPA, we developed a sequencing strategy for this region and report here the first map of genetic variation in the KIV-2 region, a comprehensively evaluated ultradeep sequencing protocol, and an easy-to-use variant analysis pipeline. We sequenced 123 Central-European individuals and reanalyzed public data of 2,504 individuals from 26 populations. We found 14 different loss-of-function and splice-site mutations, as well as >100, partially even common, missense variants. Some coding variants were frequent in one population but absent in others. This provides novel candidates to explain the large ethnic and individual differences in Lp(a) concentrations. Importantly, our approach and pipeline are also applicable to other similar copy number variable regions, allowing access to regions that are not captured by common genome sequencing.
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Affiliation(s)
- Stefan Coassin
- Division of Genetic Epidemiology Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Sebastian Schönherr
- Division of Genetic Epidemiology Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Hansi Weissensteiner
- Division of Genetic Epidemiology Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Gertraud Erhart
- Division of Genetic Epidemiology Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Lukas Forer
- Division of Genetic Epidemiology Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Jamie Lee Losso
- Division of Genetic Epidemiology Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Claudia Lamina
- Division of Genetic Epidemiology Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Margot Haun
- Division of Genetic Epidemiology Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Gerd Utermann
- Division of Human Genetics, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Private Medical University, Salzburg, Austria
| | - Günther Specht
- Department of Database and Information Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria
| | - Florian Kronenberg
- Division of Genetic Epidemiology Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
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6
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Coassin S, Erhart G, Weissensteiner H, Eca Guimarães de Araújo M, Lamina C, Schönherr S, Forer L, Haun M, Losso JL, Köttgen A, Schmidt K, Utermann G, Peters A, Gieger C, Strauch K, Finkenstedt A, Bale R, Zoller H, Paulweber B, Eckardt KU, Hüttenhofer A, Huber LA, Kronenberg F. A novel but frequent variant in LPA KIV-2 is associated with a pronounced Lp(a) and cardiovascular risk reduction. Eur Heart J 2018; 38:1823-1831. [PMID: 28444229 PMCID: PMC5837733 DOI: 10.1093/eurheartj/ehx174] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 03/21/2017] [Indexed: 01/21/2023] Open
Abstract
Aims Lp(a) concentrations represent a major cardiovascular risk factor and are almost entirely controlled by one single locus (LPA). However, many genetic factors in LPA governing the enormous variance of Lp(a) levels are still unknown. Since up to 70% of the LPA coding sequence are located in a difficult to access hypervariable copy number variation named KIV-2, we hypothesized that it may contain novel functional variants with pronounced effects on Lp(a) concentrations. We performed a large scale mutation analysis in the KIV-2 using an extreme phenotype approach. Methods and Results We compiled an discovery set of 123 samples showing discordance between LPA isoform phenotype and Lp(a) concentrations and controls. Using ultra-deep sequencing, we identified a splice site variant (G4925A) in preferential association with the smaller LPA isoforms. Follow-up in a European general population (n = 2892) revealed an exceptionally high carrier frequency of 22.1% in the general population. The variant explains 20.6% of the Lp(a) variance in carriers of low molecular weight (LMW) apo(a) isoforms (P = 5.75e-38) and reduces Lp(a) concentrations by 31.3 mg/dL. Accordingly the odds ratio for cardiovascular disease was reduced from 1.39 [95% confidence interval (CI): 1.17–1.66, P = 1.89e-04] for wildtype LMW individuals to 1.19 [95%CI: 0.92; 1.56, P = 0.19] in LMW individuals who were additionally positive for G4925A. Functional studies point towards a reduction of splicing efficiency by this novel variant. Conclusion A highly frequent but until now undetected variant in the LPA KIV-2 region is strongly associated with reduced Lp(a) concentrations and reduced cardiovascular risk in LMW individuals.
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Affiliation(s)
- Stefan Coassin
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Schoepfstrasse 41, 6020 Innsbruck, Austria
| | - Gertraud Erhart
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Schoepfstrasse 41, 6020 Innsbruck, Austria
| | - Hansi Weissensteiner
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Schoepfstrasse 41, 6020 Innsbruck, Austria
| | | | - Claudia Lamina
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Schoepfstrasse 41, 6020 Innsbruck, Austria
| | - Sebastian Schönherr
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Schoepfstrasse 41, 6020 Innsbruck, Austria
| | - Lukas Forer
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Schoepfstrasse 41, 6020 Innsbruck, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Schoepfstrasse 41, 6020 Innsbruck, Austria
| | - Jamie Lee Losso
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Schoepfstrasse 41, 6020 Innsbruck, Austria
| | - Anna Köttgen
- Division of Genetic Epidemiology, Division of Genetic Epidemiology - Faculty of Medicine and Medical Center - University of Freiburg, Hugstetter Strasse 49, 79106 Freiburg, Germany
| | - Konrad Schmidt
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Schoepfstrasse 41, 6020 Innsbruck, Austria
| | - Gerd Utermann
- Division of Human Genetics, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Peter-Mayr-Strasse 1, 6020 Innsbruck, Austria
| | - Annette Peters
- German Center for Diabetes Research, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany.,Munich Heart Alliance, German Center for Cardiovascular Disease Research, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany
| | - Christian Gieger
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany.,Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Marchioninistrasse 15, 81377 Munich, Germany
| | - Armin Finkenstedt
- Internal Medicine I, Medical University Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria
| | - Reto Bale
- Section of Interventional Oncology - Microinvasive Therapy (SIP), Department of Radiology, Medical University Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria
| | - Heinz Zoller
- Internal Medicine I, Medical University Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Private Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University of Erlangen-Nürnberg, Ulmenweg 18, 91054 Erlangen, Germany
| | - Alexander Hüttenhofer
- Division of Genomics and RNomics, Biocenter, Medical University of Innsbruck, Innrain 80-82, 6020 Innsbruck, Austria
| | - Lukas A Huber
- Division of Cell Biology, Biocenter, Medical University of Innsbruck, Innrain 80-82, 6020 Innsbruck, Austria
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Schoepfstrasse 41, 6020 Innsbruck, Austria
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7
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Rothe H, Brandenburg V, Haun M, Kollerits B, Kronenberg F, Ketteler M, Wanner C. Ecto-5' -Nucleotidase CD73 (NT5E), vitamin D receptor and FGF23 gene polymorphisms may play a role in the development of calcific uremic arteriolopathy in dialysis patients - Data from the German Calciphylaxis Registry. PLoS One 2017; 12:e0172407. [PMID: 28212442 PMCID: PMC5315275 DOI: 10.1371/journal.pone.0172407] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2016] [Accepted: 02/03/2017] [Indexed: 12/21/2022] Open
Abstract
Introduction Calciphylaxis/calcific uremic arteriolopathy affects mainly end-stage kidney disease patients but is also associated with malignant disorders such as myeloma, melanoma and breast cancer. Genetic risk factors of calciphylaxis have never been studied before. Methods We investigated 10 target genes using a tagging SNP approach: the genes encoding CD73/ ecto-5'-nucleotidase (purinergic pathway), Matrix Gla protein, Fetuin A, Bone Gla protein, VKORC1 (all related to intrinsic calcification inhibition), calcium-sensing receptor, FGF23, Klotho, vitamin D receptor, stanniocalcin 1 (all related to CKD-MBD). 144 dialysis patients from the German calciphylaxis registry were compared with 370 dialysis patients without history of CUA. Genotyping was performed using iPLEX Gold MassARRAY(Sequenom, San Diego, USA), KASP genotyping chemistry (LGC, Teddington, Middlesex, UK) or sequencing. Statistical analysis comprised logistic regression analysis with adjustment for age and sex. Results 165 SNPs were finally analyzed and 6 SNPs were associated with higher probability for calciphylaxis (OR>1) in our cohort. Nine SNPs of three genes (CD73, FGF23 and Vitamin D receptor) reached nominal significance (p< 0.05), but did not reach statistical significance after correction for multiple testing. Of the CD73 gene, rs4431401 (OR = 1.71, 95%CI 1.08–2.17, p = 0.023) and rs9444348 (OR = 1.48, 95% CI 1.11–1.97, p = 0.008) were associated with a higher probability for CUA. Of the FGF23 and VDR genes, rs7310492, rs11063118, rs13312747 and rs17882106 were associated with a higher probability for CUA. Conclusion Polymorphisms in the genes encoding CD73, vitamin D receptor and FGF23 may play a role in calciphylaxis development. Although our study is the largest genetic study on calciphylaxis, it is limited by the low sample sizes. It therefore requires replication in other cohorts if available.
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Affiliation(s)
- Hansjörg Rothe
- Klinikum Coburg, Coburg, Germany
- Department of Medicine, Division of Nephrology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
- * E-mail:
| | | | - Margot Haun
- Division for Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Barbara Kollerits
- Division for Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Florian Kronenberg
- Division for Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Christoph Wanner
- Department of Medicine, Division of Nephrology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
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8
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Curjuric I, Imboden M, Bridevaux PO, Gerbase MW, Haun M, Keidel D, Kumar A, Pons M, Rochat T, Schikowski T, Schindler C, von Eckardstein A, Kronenberg F, Probst-Hensch NM. Common SIRT1 variants modify the effect of abdominal adipose tissue on aging-related lung function decline. Age (Dordr) 2016; 38:52. [PMID: 27125385 PMCID: PMC5005914 DOI: 10.1007/s11357-016-9917-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Accepted: 04/18/2016] [Indexed: 06/05/2023]
Abstract
Lung function is an independent predictor of mortality and serves as an aging marker in never smokers. The protein sirtuin-1 of gene SIRT1 has profound anti-inflammatory effects and regulates metabolic pathways. Its suggested longevity effects on lower organisms remain poorly studied in humans. In 1132 never smokers of the population-based SAPALDIA cohort, we investigated associations between single nucleotide polymorphisms (SNPs; rs730821, rs10997868, rs10823116) of SIRT1 and aging-related lung function decline over 11 years in terms of change in forced expiratory volume in the first second (FEV1), forced vital capacity (FVC), FEV1/FVC ratio, and forced expiratory flow between 25 and 75 % of FVC (FEF25-75) using multiple linear regression models. Interactions between the SIRT1 SNPs and adiposity parameters (body mass index (BMI), its change and weight gain) were tested by including multiplicative interaction terms into the models. SIRT1 polymorphisms exhibited no main effects, but modified the association between obesity measures and FEV1/FVC and FEF25-75 decline (p = 0.009-0.046). Per risk allele, FEV1/FVC decline was accelerated up to -0.5 % (95 % CI -1.0 to 0 %) and -0.7 % (-1.3 to -0.2 %) over interquartile range increases in BMI (2.4 kg/m(2)) or weight (6.5 kg), respectively. For FEF25-75 decline, corresponding estimates were -57 mL/s (-117 to 4 mL/s) and -76 mL/s (-1429 to -9 mL/s). Interactions were not present in participants with genetically lowered C-reactive protein concentrations. Genetic variation in SIRT1 might therefore affect lung function and human longevity by modifying subclinical inflammation arising from abdominal adipose tissue.
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Grants
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Bundesamt für Umwelt
- Bundesamt für Gesundheit
- Bundesamt für Strassen
- Canton’s government of Aargau, Basel-Stadt, Basel-Land, Geneva, Luzern, Ticino, Valais, and Zürich
- Swiss Lung League
- Canton’s Lung League of Basel Stadt/ Basel Landschaft, Geneva, Ticino, Valais, Graubünden and Zurich
- Stiftung ehemals Bündner Heilstätten
- SUVA
- Freiwillige Akademische Gesellschaft
- UBS Wealth Foundation
- Talecris Biotherapeutics GmbH
- Abbott Diagnostics
- European Commission
- Wellcome Trust
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Affiliation(s)
- Ivan Curjuric
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box, 4002, Basel, Switzerland.
- University of Basel, Basel, Switzerland.
| | - Medea Imboden
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box, 4002, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | | | - Margaret W Gerbase
- Division of Pulmonary Medicine, University Hospitals, Geneva, Switzerland
| | - Margot Haun
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Dirk Keidel
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box, 4002, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Ashish Kumar
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box, 4002, Basel, Switzerland
- University of Basel, Basel, Switzerland
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Marco Pons
- Division of Pulmonary Medicine, Regional Hospital of Lugano, Lugano, Switzerland
| | - Thierry Rochat
- Division of Pulmonary Medicine, University Hospitals, Geneva, Switzerland
| | - Tamara Schikowski
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box, 4002, Basel, Switzerland
- University of Basel, Basel, Switzerland
- Leibniz Research Institute for Environmental Medicine (IUF), Düsseldorf, Germany
| | - Christian Schindler
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box, 4002, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | | | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Nicole M Probst-Hensch
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box, 4002, Basel, Switzerland
- University of Basel, Basel, Switzerland
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9
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Geisel MH, Coassin S, Heßler N, Bauer M, Eisele L, Erbel R, Haun M, Hennig F, Moskau-Hartmann S, Hoffmann B, Jöckel KH, Kedenko L, Kiechl S, Kollerits B, Mahabadi AA, Moebus S, Nürnberg G, Nürnberg P, Paulweber B, Vens M, Willeit J, Willeit K, Klockgether T, Ziegler A, Scherag A, Kronenberg F. Update of the effect estimates for common variants associated with carotid intima media thickness within four independent samples: The Bonn IMT Family Study, the Heinz Nixdorf Recall Study, the SAPHIR Study and the Bruneck Study. Atherosclerosis 2016; 249:83-7. [PMID: 27085157 DOI: 10.1016/j.atherosclerosis.2016.03.042] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Revised: 03/30/2016] [Accepted: 03/30/2016] [Indexed: 11/30/2022]
Abstract
Carotid intima media thickness (cIMT) is a marker for subclinical atherosclerosis. The most recent genome-wide association meta-analysis (GWAMA) from the CHARGE consortium identified four genomic regions showing either significant (ZHX2, APOC1, PINX1) or suggestive evidence (SLC17A4) for an association. Here we assess these four cIMT loci in a pooled analysis of four independent studies including 5446 individuals by providing updated unbiased effect estimates of the cIMT association signals. The pooled estimates of our four independent samples pointed in the same direction and were similar to those of the GWAMA. When updating the independent second stage replication results from the earlier CHARGE GWAMA by our estimates, effect size estimates were closer to those of the original CHARGE discovery. A fine-mapping approach within a ±50 kb region around each lead SNP from CHARGE revealed 27 variants with larger estimated effect sizes than the lead SNPs but only three of them showed a r(2) > 0.40 with these respective lead SNPs from CHARGE. Some variants are located within potential functional loci.
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Affiliation(s)
- Marie H Geisel
- Clinical Epidemiology, Integrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany; Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University of Duisburg-Essen, Essen, Germany
| | - Stefan Coassin
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Nicole Heßler
- Institute of Medical Biometry and Statistics (IMBS), University of Lübeck, University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Marcus Bauer
- Medizinische Klinik II, St. Vincenz-Krankenhaus, Datteln, Germany; West German Heart and Vascular Center, Department of Cardiology, University Hospital of Essen, Essen, Germany
| | - Lewin Eisele
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University of Duisburg-Essen, Essen, Germany
| | - Raimund Erbel
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University of Duisburg-Essen, Essen, Germany
| | - Margot Haun
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Frauke Hennig
- IUF Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | | | - Barbara Hoffmann
- IUF Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany; Medical Faculty, Deanery of Medicine, Heinrich Heine University of Düsseldorf, Düsseldorf, Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University of Duisburg-Essen, Essen, Germany
| | - Lyudmyla Kedenko
- Department of Internal Medicine I, Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria
| | - Stefan Kiechl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Barbara Kollerits
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Amir-Abbas Mahabadi
- West German Heart and Vascular Center, Department of Cardiology, University Hospital of Essen, Essen, Germany
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University of Duisburg-Essen, Essen, Germany
| | - Gudrun Nürnberg
- Cologne Center of Genomics, University of Cologne, Cologne, Germany
| | - Peter Nürnberg
- Cologne Center of Genomics, University of Cologne, Cologne, Germany
| | - Bernhard Paulweber
- Department of Internal Medicine I, Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria
| | - Maren Vens
- Institute of Medical Biometry and Statistics (IMBS), University of Lübeck, University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany; Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Johann Willeit
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Karin Willeit
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Thomas Klockgether
- Department of Neurology, University Hospital Bonn, Bonn, Germany; German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Andreas Ziegler
- Institute of Medical Biometry and Statistics (IMBS), University of Lübeck, University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany; Center for Clinical Trials, University of Lübeck, Lübeck, Germany; School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - André Scherag
- Clinical Epidemiology, Integrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
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10
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Teumer A, Tin A, Sorice R, Gorski M, Yeo NC, Chu AY, Li M, Li Y, Mijatovic V, Ko YA, Taliun D, Luciani A, Chen MH, Yang Q, Foster MC, Olden M, Hiraki LT, Tayo BO, Fuchsberger C, Dieffenbach AK, Shuldiner AR, Smith AV, Zappa AM, Lupo A, Kollerits B, Ponte B, Stengel B, Krämer BK, Paulweber B, Mitchell BD, Hayward C, Helmer C, Meisinger C, Gieger C, Shaffer CM, Müller C, Langenberg C, Ackermann D, Siscovick D, Boerwinkle E, Kronenberg F, Ehret GB, Homuth G, Waeber G, Navis G, Gambaro G, Malerba G, Eiriksdottir G, Li G, Wichmann HE, Grallert H, Wallaschofski H, Völzke H, Brenner H, Kramer H, Mateo Leach I, Rudan I, Hillege HL, Beckmann JS, Lambert JC, Luan J, Zhao JH, Chalmers J, Coresh J, Denny JC, Butterbach K, Launer LJ, Ferrucci L, Kedenko L, Haun M, Metzger M, Woodward M, Hoffman MJ, Nauck M, Waldenberger M, Pruijm M, Bochud M, Rheinberger M, Verweij N, Wareham NJ, Endlich N, Soranzo N, Polasek O, van der Harst P, Pramstaller PP, Vollenweider P, Wild PS, Gansevoort RT, Rettig R, Biffar R, Carroll RJ, Katz R, Loos RJF, Hwang SJ, Coassin S, Bergmann S, Rosas SE, Stracke S, Harris TB, Corre T, Zeller T, Illig T, Aspelund T, Tanaka T, Lendeckel U, Völker U, Gudnason V, Chouraki V, Koenig W, Kutalik Z, O'Connell JR, Parsa A, Heid IM, Paterson AD, de Boer IH, Devuyst O, Lazar J, Endlich K, Susztak K, Tremblay J, Hamet P, Jacob HJ, Böger CA, Fox CS, Pattaro C, Köttgen A. Genome-wide Association Studies Identify Genetic Loci Associated With Albuminuria in Diabetes. Diabetes 2016; 65:803-17. [PMID: 26631737 PMCID: PMC4764151 DOI: 10.2337/db15-1313] [Citation(s) in RCA: 108] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Accepted: 11/25/2015] [Indexed: 12/21/2022]
Abstract
Elevated concentrations of albumin in the urine, albuminuria, are a hallmark of diabetic kidney disease and are associated with an increased risk for end-stage renal disease and cardiovascular events. To gain insight into the pathophysiological mechanisms underlying albuminuria, we conducted meta-analyses of genome-wide association studies and independent replication in up to 5,825 individuals of European ancestry with diabetes and up to 46,061 without diabetes, followed by functional studies. Known associations of variants in CUBN, encoding cubilin, with the urinary albumin-to-creatinine ratio (UACR) were confirmed in the overall sample (P = 2.4 × 10(-10)). Gene-by-diabetes interactions were detected and confirmed for variants in HS6ST1 and near RAB38/CTSC. Single nucleotide polymorphisms at these loci demonstrated a genetic effect on UACR in individuals with but not without diabetes. The change in the average UACR per minor allele was 21% for HS6ST1 (P = 6.3 × 10(-7)) and 13% for RAB38/CTSC (P = 5.8 × 10(-7)). Experiments using streptozotocin-induced diabetic Rab38 knockout and control rats showed higher urinary albumin concentrations and reduced amounts of megalin and cubilin at the proximal tubule cell surface in Rab38 knockout versus control rats. Relative expression of RAB38 was higher in tubuli of patients with diabetic kidney disease compared with control subjects. The loci identified here confirm known pathways and highlight novel pathways influencing albuminuria.
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Affiliation(s)
- Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany German Center for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Rossella Sorice
- Institute of Genetics and Biophysics, "Adriano-Buzzati Traverso," Consiglio Nazionale delle Ricerche, Naples, Italy
| | - Mathias Gorski
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Nan Cher Yeo
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI
| | - Audrey Y Chu
- Preventive Medicine, Brigham and Women's Hospital, Boston, MA National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, MA
| | - Man Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Yong Li
- Renal Division, Medical Center, University of Freiburg, Freiburg, Germany
| | - Vladan Mijatovic
- Department of Life and Reproduction Sciences, University of Verona, Verona, Italy
| | - Yi-An Ko
- Renal-Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA
| | - Daniel Taliun
- Center for Biomedicine, European Academy of Bozen/Bolzano (EURAC), affiliated to the University of Lübeck, Bolzano, Italy
| | - Alessandro Luciani
- Institute of Physiology, Mechanisms of Inherited Kidney Disorders Group, University of Zürich, Zürich, Switzerland
| | - Ming-Huei Chen
- Department of Neurology, Boston University School of Medicine, Boston, MA Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | | | - Matthias Olden
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Regensburg, Germany
| | - Linda T Hiraki
- Genetics and Genome Biology Program, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | | | - Christian Fuchsberger
- Center for Biomedicine, European Academy of Bozen/Bolzano (EURAC), affiliated to the University of Lübeck, Bolzano, Italy
| | - Aida Karina Dieffenbach
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Alan R Shuldiner
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Albert V Smith
- Icelandic Heart Association, Kópavogur, Iceland Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Allison M Zappa
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI
| | - Antonio Lupo
- Renal Unit, Department of Medicine, University of Verona, Verona, Italy
| | - Barbara Kollerits
- Division of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Belen Ponte
- Nephrology Division, Department of Specialties of Internal Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Bénédicte Stengel
- INSERM U-1018, Centre de recherche en épidémiologie et santé des populations (CESP) Team 5, Villejuif, France UMRS 1018, Centre de recherche en épidémiologie et santé des populations (CESP) Team 5, Univ Paris Sud, Univ Versailles, St. Quentin, France
| | - Bernhard K Krämer
- Fifth Department of Medicine, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria
| | - Braxton D Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, U.K
| | - Catherine Helmer
- INSERM U897, Bordeaux University, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Bordeaux, France
| | - Christa Meisinger
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Christian Müller
- University Heart Center Hamburg, Hamburg, Germany German Center for Cardiovascular Research (DZHK e.V.), partner site Hamburg, Lübeck, Kiel, Germany
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Daniel Ackermann
- University Clinic for Nephrology, Hypertension and Clinical Pharmacology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - David Siscovick
- Cardiovascular Health Research Unit, Departments of Epidemiology and Medicine, University of Washington, Seattle, WA
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center, Houston, TX
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Georg B Ehret
- Cardiology, Department of Specialties of Internal Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Gerard Waeber
- Department of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Gerjan Navis
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Giovanni Gambaro
- Division of Nephrology, Department of Internal Medicine and Medical Specialties, Columbus-Gemelli University Hospital, Catholic University, Rome, Italy
| | - Giovanni Malerba
- Department of Life and Reproduction Sciences, University of Verona, Verona, Italy
| | | | - Guo Li
- Cardiovascular Health Research Unit, Departments of Epidemiology and Medicine, University of Washington, Seattle, WA
| | - H Erich Wichmann
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany Institute of Medical Statistics and Epidemiology, Technical University Munich, Munich, Germany
| | - Harald Grallert
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Henri Wallaschofski
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany German Center for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
| | - Herrmann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - I Mateo Leach
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Igor Rudan
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, Scotland, U.K
| | - Hans L Hillege
- Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Jacques S Beckmann
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Jean Charles Lambert
- INSERM UMR 1167 "Risk factors and molecular determinants of aging-related diseases," Institut Pasteur de Lille, Lille, France
| | - Jian'an Luan
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Jing Hua Zhao
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - John Chalmers
- The George Institute for Global Health, University of Sydney, Camperdown, New South Wales, Australia
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, MD
| | | | - Katja Butterbach
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute on Aging, Baltimore, MD
| | - Lyudmyla Kedenko
- First Department of Internal Medicine, Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Marie Metzger
- INSERM U-1018, Centre de recherche en épidémiologie et santé des populations (CESP) Team 5, Villejuif, France UMRS 1018, Centre de recherche en épidémiologie et santé des populations (CESP) Team 5, Univ Paris Sud, Univ Versailles, St. Quentin, France
| | - Mark Woodward
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD The George Institute for Global Health, University of Sydney, Camperdown, New South Wales, Australia The George Institute for Global Health, Nuffield Department of Population Health, University of Oxford, Oxford, U.K
| | - Matthew J Hoffman
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI
| | - Matthias Nauck
- German Center for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Melanie Waldenberger
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Menno Pruijm
- Service of Nephrology, Lausanne University Hospital, Lausanne, Switzerland
| | - Murielle Bochud
- University Institute of Social and Preventive Medicine, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Épalinges, Switzerland
| | - Myriam Rheinberger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Nicholas J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Nicole Endlich
- Institute of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
| | - Nicole Soranzo
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, U.K. Department of Haematology, University of Cambridge, Cambridge, U.K
| | - Ozren Polasek
- Croatian Centre for Global Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Pim van der Harst
- Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Peter Paul Pramstaller
- Center for Biomedicine, European Academy of Bozen/Bolzano (EURAC), affiliated to the University of Lübeck, Bolzano, Italy
| | - Peter Vollenweider
- Department of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Philipp S Wild
- Center for Thrombosis and Hemostasis (CTH), University Medical Center of the Johannes Gutenberg, University Mainz, Mainz, Germany Preventive Cardiology and Preventive Medicine, Department of Medicine 2, University Medical Center of the Johannes Gutenberg, University Mainz, Mainz, Germany German Center for Cardiovascular Research (DZHK), Mainz, Germany
| | - Ron T Gansevoort
- Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Rainer Rettig
- Institute of Physiology, University Medicine Greifswald, Greifswald, Germany
| | - Reiner Biffar
- Clinic for Prosthetic Dentistry, Gerostomatology and Material Science, University Medicine Greifswald, Greifswald, Germany
| | | | - Ronit Katz
- Kidney Research Institute, Department of Medicine, University of Washington, Seattle, WA
| | - Ruth J F Loos
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K. Genetics of Obesity and Related Metabolic Traits Program, The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, MA
| | - Stefan Coassin
- Division of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Sven Bergmann
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
| | - Sylvia E Rosas
- Kidney and Hypertension Section, Joslin Diabetes Center and Harvard Medical School, Boston, MA
| | - Sylvia Stracke
- Clinic for Internal Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD
| | - Tanguy Corre
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
| | - Tanja Zeller
- University Heart Center Hamburg, Hamburg, Germany German Center for Cardiovascular Research (DZHK e.V.), partner site Hamburg, Lübeck, Kiel, Germany
| | - Thomas Illig
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany Institute for Human Genetics, Hannover Medical School, Hannover, Germany Hannover Unified Biobank, Hannover Medical School, Hannover, Germany
| | - Thor Aspelund
- Icelandic Heart Association, Kópavogur, Iceland Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute on Aging, Baltimore, MD
| | - Uwe Lendeckel
- Institute of Medical Biochemistry and Molecular Biology, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- German Center for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kópavogur, Iceland Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Vincent Chouraki
- INSERM UMR 1167 "Risk factors and molecular determinants of aging-related diseases," Institut Pasteur de Lille, Lille, France
| | - Wolfgang Koenig
- Abteilung Innere II, Universitätsklinikum Ulm, Ulm, Germany Deutsches Herzzentrum München, Technische Universität München, Munich, Germany German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Zoltan Kutalik
- Swiss Institute of Bioinformatics, Lausanne, Switzerland Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland University Institute of Social and Preventive Medicine, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Jeffrey R O'Connell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Afshin Parsa
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Iris M Heid
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Andrew D Paterson
- Genetics and Genome Biology Program, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Ian H de Boer
- Kidney Research Institute, Department of Medicine, University of Washington, Seattle, WA
| | - Olivier Devuyst
- Institute of Physiology, Mechanisms of Inherited Kidney Disorders Group, University of Zürich, Zürich, Switzerland
| | - Jozef Lazar
- Department of Dermatology, Medical College of Wisconsin, Milwaukee, WI
| | - Karlhans Endlich
- Institute of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
| | - Katalin Susztak
- Renal-Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA
| | - Johanne Tremblay
- Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), University of Montreal, CHUM Research Center, Technopìle Angus, Montreal, Quebec, Canada
| | - Pavel Hamet
- Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), University of Montreal, CHUM Research Center, Technopìle Angus, Montreal, Quebec, Canada
| | - Howard J Jacob
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI
| | - Carsten A Böger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Caroline S Fox
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, MA Division of Endocrinology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Cristian Pattaro
- Center for Biomedicine, European Academy of Bozen/Bolzano (EURAC), affiliated to the University of Lübeck, Bolzano, Italy
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD Renal Division, Medical Center, University of Freiburg, Freiburg, Germany
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11
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Rosene JM, Matthews TD, Mcbride KJ, Galla A, Haun M, Mcdonald K, Gagne N, Lea J, Kasen J, Farias C. The effects of creatine supplementation on thermoregulation and isokinetic muscular performance following acute (3-day) supplementation. J Sports Med Phys Fitness 2015; 55:1488-1496. [PMID: 25781214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
AIM The purpose of this investigation was to determine the effects of 3 d of creatine supplementation on thermoregulation and isokinetic muscular performance. METHODS Fourteen males performed two exercise bouts following 3 d of creatine supplementation and placebo. Subjects exercised for 60 min at 60-65% of VO2max in the heat followed by isokinetic muscular performance at 60, 180, and 300°·s(-1). Dependent variables for pre- and postexercise included nude body weight, urine specific gravity, and serum creatinine levels. Total body water, extracellular water and intracellular water were measured pre-exercise. Core temperature was assessed every 5 min during exercise. Peak torque and Fatigue Index were used to assess isokinetic muscular performance. RESULTS Core temperature increased during the run for both conditions. Total body water and extracellular water were significantly greater (P<0.05) following creatine supplementation. No significant difference (P>0.05) was found between conditions for intracellular water, nude body weight, urine specific gravity, and serum creatinine. Pre-exercise scores for urine specific gravity and serum creatinine were significantly less (P<0.05) versus post-exercise. No significant differences (P>0.05) were found in peak torque values or Fatigue Index between conditions for each velocity. A significant (P<0.05) overall velocity effect was found for both flexion and extension. As velocity increased, mean peak torque values decreased. CONCLUSION Three d of creatine supplementation does not affect thermoregulation during submaximal exercise in the heat and is not enough to elicit an ergogenic effect for isokinetic muscle performance following endurance activity.
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Affiliation(s)
- J M Rosene
- Health and Human Performance Department, Plymouth State University, Plymouth, NH, USA -
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12
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Raschenberger J, Kollerits B, Titze S, Köttgen A, Bärthlein B, Ekici AB, Forer L, Schönherr S, Weissensteiner H, Haun M, Wanner C, Eckardt KU, Kronenberg F. Do telomeres have a higher plasticity than thought? Results from the German Chronic Kidney Disease (GCKD) study as a high-risk population. Exp Gerontol 2015; 72:162-6. [DOI: 10.1016/j.exger.2015.09.019] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Revised: 09/04/2015] [Accepted: 09/26/2015] [Indexed: 11/17/2022]
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13
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Lackner M, Coassin S, Haun M, Binder U, Kronenberg F, Haas H, Jank M, Maurer E, Meis JF, Hagen F, Lass-Flörl C. Geographically predominant genotypes of Aspergillus terreus species complex in Austria: s microsatellite typing study. Clin Microbiol Infect 2015; 22:270-6. [PMID: 26577144 DOI: 10.1016/j.cmi.2015.10.021] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Revised: 10/27/2015] [Accepted: 10/28/2015] [Indexed: 11/19/2022]
Abstract
Aspergillus terreus species complex is recognized as a frequent agent of invasive aspergillosis in Tyrol. The reason for this specific epidemiological situation is unclear. Aspergillus terreus strains isolated from environmental and clinical sources were genotyped using a novel panel of short tandem repeats and were evaluated for virulence. Three major endemic genotypes collected from the Inn region and its side valleys were found to cause the majority of invasive A. terreus infections. All of these genotypes were of the same mating type, which suggests that a mating barrier is present between these geographically well-adapted strains which is found to persist for at least 11 years. The three major genotypes were prevalent in both human infections and the environment. No major differences in virulence were observed using Galleria mellonella as model. Our data suggest a specific environmental exposure being responsible for the high incidence of A. terreus infections in Innsbruck, the Inn valley and side valleys (Tyrol, Austria).
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Affiliation(s)
- M Lackner
- Division of Hygiene and Medical Microbiology, Austria.
| | - S Coassin
- Division of Genetic Epidemiology, Austria
| | - M Haun
- Division of Genetic Epidemiology, Austria
| | - U Binder
- Division of Hygiene and Medical Microbiology, Austria
| | | | - H Haas
- Division of Molecular Biology, Medical University of Innsbruck, Austria
| | - M Jank
- Division of Hygiene and Medical Microbiology, Austria
| | - E Maurer
- Division of Hygiene and Medical Microbiology, Austria
| | - J F Meis
- Department of Medical Microbiology and Infectious Diseases, Canisius Wilhelmina Ziekenhuis, Nijmegen, The Netherlands; Department of Medical Microbiology, Radboudumc, Nijmegen, The Netherlands
| | - F Hagen
- Department of Medical Microbiology and Infectious Diseases, Canisius Wilhelmina Ziekenhuis, Nijmegen, The Netherlands
| | - C Lass-Flörl
- Division of Hygiene and Medical Microbiology, Austria
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14
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Raschenberger J, Kollerits B, Titze S, Köttgen A, Bärthlein B, Ekici AB, Forer L, Schönherr S, Weissensteiner H, Haun M, Wanner C, Eckardt KU, Kronenberg F. Association of relative telomere length with cardiovascular disease in a large chronic kidney disease cohort: the GCKD study. Atherosclerosis 2015; 242:529-34. [PMID: 26302167 DOI: 10.1016/j.atherosclerosis.2015.08.020] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Revised: 08/10/2015] [Accepted: 08/11/2015] [Indexed: 12/19/2022]
Abstract
BACKGROUND Chronic kidney disease (CKD) affects 10-15% of the general population and affected individuals are at an increased risk for cardiovascular disease (CVD). Since telomere length is considered to be involved in biological aging, we tested whether relative telomere length (RTL) might be a marker for these two diseases. METHODS The German Chronic Kidney Disease (GCKD) study is an ongoing prospective cohort study including patients with CKD of moderate severity. RTL was measured by qPCR in 4955 out of 5217 GCKD patients at baseline. RESULTS RTL was distributed in the cohort with a mean ± SD of 0.95 ± 0.19. CVD was present in 1266 patients. Each decrease of RTL by 0.1 unit was associated with a higher probability for prevalent CVD: OR = 1.06, 95% CI 1.02-1.11, p = 0.007 (adjusted for age, sex, eGFR, BMI, ln-CRP, smoking, hypertension, diabetes, and lipids). Similar findings were observed for history of specific CVD entities, such as coronary artery disease (OR = 1.05, p = 0.025), myocardial infarction (OR = 1.08, p = 0.013) and percutaneous transluminal coronary angioplasty (OR = 1.06, p = 0.032). The strongest associations were found for interventions at the carotid arteries (OR = 1.25, p = 0.001) as well as aortic aneurysms (OR = 1.22, p = 0.001). CONCLUSIONS In the presence of CKD there is a significant association between shorter RTL and CVD manifestations. RTL appears to be a marker reflecting changes in homeostasis associated with CKD that may contribute to the excess CVD risk.
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Affiliation(s)
- Julia Raschenberger
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Barbara Kollerits
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Stephanie Titze
- Department of Nephrology and Hypertension, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Anna Köttgen
- Division of Nephrology, Department of Medicine, University Medical Center Freiburg, Freiburg, Germany
| | - Barbara Bärthlein
- Chair of Medical Informatics, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Arif B Ekici
- Institute of Human Genetics, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Lukas Forer
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Sebastian Schönherr
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Hansi Weissensteiner
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Christoph Wanner
- Division of Nephrology, Department of Medicine, University of Würzburg, Würzburg, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
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15
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Gorski M, Tin A, Garnaas M, McMahon GM, Chu AY, Tayo BO, Pattaro C, Teumer A, Chasman DI, Chalmers J, Hamet P, Tremblay J, Woodward M, Aspelund T, Eiriksdottir G, Gudnason V, Harris TB, Launer LJ, Smith AV, Mitchell BD, O'Connell JR, Shuldiner AR, Coresh J, Li M, Freudenberger P, Hofer E, Schmidt H, Schmidt R, Holliday EG, Mitchell P, Wang JJ, de Boer IH, Li G, Siscovick DS, Kutalik Z, Corre T, Vollenweider P, Waeber G, Gupta J, Kanetsky PA, Hwang SJ, Olden M, Yang Q, de Andrade M, Atkinson EJ, Kardia SLR, Turner ST, Stafford JM, Ding J, Liu Y, Barlassina C, Cusi D, Salvi E, Staessen JA, Ridker PM, Grallert H, Meisinger C, Müller-Nurasyid M, Krämer BK, Kramer H, Rosas SE, Nolte IM, Penninx BW, Snieder H, Fabiola Del Greco M, Franke A, Nöthlings U, Lieb W, Bakker SJL, Gansevoort RT, van der Harst P, Dehghan A, Franco OH, Hofman A, Rivadeneira F, Sedaghat S, Uitterlinden AG, Coassin S, Haun M, Kollerits B, Kronenberg F, Paulweber B, Aumann N, Endlich K, Pietzner M, Völker U, Rettig R, Chouraki V, Helmer C, Lambert JC, Metzger M, Stengel B, Lehtimäki T, Lyytikäinen LP, Raitakari O, Johnson A, Parsa A, Bochud M, Heid IM, Goessling W, Köttgen A, Kao WHL, Fox CS, Böger CA. Genome-wide association study of kidney function decline in individuals of European descent. Kidney Int 2015; 87:1017-29. [PMID: 25493955 PMCID: PMC4425568 DOI: 10.1038/ki.2014.361] [Citation(s) in RCA: 103] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2014] [Revised: 09/04/2014] [Accepted: 09/11/2014] [Indexed: 11/08/2022]
Abstract
Genome-wide association studies (GWASs) have identified multiple loci associated with cross-sectional eGFR, but a systematic genetic analysis of kidney function decline over time is missing. Here we conducted a GWAS meta-analysis among 63,558 participants of European descent, initially from 16 cohorts with serial kidney function measurements within the CKDGen Consortium, followed by independent replication among additional participants from 13 cohorts. In stage 1 GWAS meta-analysis, single-nucleotide polymorphisms (SNPs) at MEOX2, GALNT11, IL1RAP, NPPA, HPCAL1, and CDH23 showed the strongest associations for at least one trait, in addition to the known UMOD locus, which showed genome-wide significance with an annual change in eGFR. In stage 2 meta-analysis, the significant association at UMOD was replicated. Associations at GALNT11 with Rapid Decline (annual eGFR decline of 3 ml/min per 1.73 m(2) or more), and CDH23 with eGFR change among those with CKD showed significant suggestive evidence of replication. Combined stage 1 and 2 meta-analyses showed significance for UMOD, GALNT11, and CDH23. Morpholino knockdowns of galnt11 and cdh23 in zebrafish embryos each had signs of severe edema 72 h after gentamicin treatment compared with controls, but no gross morphological renal abnormalities before gentamicin administration. Thus, our results suggest a role in the deterioration of kidney function for the loci GALNT11 and CDH23, and show that the UMOD locus is significantly associated with kidney function decline.
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Affiliation(s)
- Mathias Gorski
- 1] Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany [2] Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Maija Garnaas
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Gearoid M McMahon
- 1] Division of Nephrology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA [2] NHLBI's Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, Massachusetts, USA
| | - Audrey Y Chu
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Bamidele O Tayo
- Department of Public Health Services, Loyola Medical Center, Loyola University Chicago, Maywood, Illinois, USA
| | - Cristian Pattaro
- Center for Biomedicine, European Academy of Bozen/Bolzano (EURAC), affiliated to the University of Lübeck, Bolzano, Italy
| | - Alexander Teumer
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - John Chalmers
- George Institute for Global Health, University of Sydney, Sydney, New South Wales, Australia
| | - Pavel Hamet
- Centre de recherche du Centre hospitalier de l'Université de Montréal, University of Montreal, Montreal, Quebec, Canada
| | - Johanne Tremblay
- CHUM Research Center- Technopôle Angus, Montreal, Québec, Canada
| | - Marc Woodward
- George Institute for Global Health, University of Sydney, Sydney, New South Wales, Australia
| | - Thor Aspelund
- 1] Icelandic Heart Association, Research Institute, Kopavogur, Iceland [2] University of Iceland, Reykjavik, Iceland
| | | | - Vilmundur Gudnason
- 1] Icelandic Heart Association, Research Institute, Kopavogur, Iceland [2] University of Iceland, Reykjavik, Iceland
| | - Tamara B Harris
- Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland, USA
| | - Lenore J Launer
- Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland, USA
| | - Albert V Smith
- 1] Icelandic Heart Association, Research Institute, Kopavogur, Iceland [2] University of Iceland, Reykjavik, Iceland
| | - Braxton D Mitchell
- 1] Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA [2] Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jeffrey R O'Connell
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Alan R Shuldiner
- 1] Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA [2] Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Josef Coresh
- 1] Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA [2] Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, Maryland, USA
| | - Man Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Paul Freudenberger
- Institute of Molecular Biology and Biochemistry, Medical University Graz, Graz, Austria
| | - Edith Hofer
- Department of Neurology, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Graz, Austria
| | - Helena Schmidt
- Institute of Molecular Biology and Biochemistry, Medical University Graz, Graz, Austria
| | | | - Elizabeth G Holliday
- Centre for Clinical Epidemiology and Biostatistics, University of Newcastle, CReDITSS, HMRI, Callaghan, New South Wales, Australia
| | - Paul Mitchell
- Centre for Vision Research, Westmead Millennium Institute, University of Sydney, Westmead Hospital, Sydney, New South Wales, Australia
| | - Jie Jin Wang
- Centre for Vision Research, Westmead Millennium Institute, University of Sydney, Westmead Hospital, Sydney, New South Wales, Australia
| | | | - Guo Li
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, USA
| | - David S Siscovick
- 1] Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, USA [2] New York Academy of Medicine, New York, New York, USA
| | - Zoltan Kutalik
- 1] Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland [2] Department of Medical Genetics, Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Tanguy Corre
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
| | - Peter Vollenweider
- Internal Medicine Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Gérard Waeber
- Internal Medicine Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Jayanta Gupta
- Perelman School of Medicine at the University of Pennsylvania, Center for Clinical Epidemiology and Biostatistics
| | - Peter A Kanetsky
- Perelman School of Medicine at the University of Pennsylvania, Center for Clinical Epidemiology and Biostatistics
| | - Shih-Jen Hwang
- NHLBI's Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, Massachusetts, USA
| | - Matthias Olden
- 1] Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany [2] NHLBI's Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, Massachusetts, USA
| | - Qiong Yang
- 1] NHLBI's Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, Massachusetts, USA [2] Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | | | | | | | | | - Jeanette M Stafford
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jingzhong Ding
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | | | - Daniele Cusi
- 1] Department of Health Science, University of Milano, Milano, Italy [2] Division of Nephrology, San Paolo Hospital, Milano, Italy
| | - Erika Salvi
- Department of Health Science, University of Milano, Milano, Italy
| | - Jan A Staessen
- 1] Department of Epidemiology, Maastricht University, Maastricht, The Netherlands [2] Studies Coordinating Centre, Division of Hypertension and Cardiovascular Rehabilitation, Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Harald Grallert
- 1] Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany [2] Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany [3] German Center for Diabetes Research, Neuherberg, Germany
| | - Christa Meisinger
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Martina Müller-Nurasyid
- 1] DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany [2] Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany [3] Institute of Medical Informatics, Biometry, and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany [4] Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universität, Munich, Germany
| | - Bernhard K Krämer
- University Medical Centre Mannheim, 5th Department of Medicine, University of Heidelberg, Mannheim, Germany
| | - Holly Kramer
- Department of Public Health Services, Loyola Medical Center, Loyola University Chicago, Maywood, Illinois, USA
| | - Sylvia E Rosas
- Joslin Diabetes Center and Beth Israel Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Ilja M Nolte
- 1] Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands [2] Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology (FA40), University Medical Center Groningen, Groningen, The Netherlands
| | - Brenda W Penninx
- 1] Department of Psychiatry/EMGO Institute/Neuroscience Campus, VU University Medical Centre, Amsterdam, The Netherlands [2] EMGO Institute Vumc, NESDA, Amsterdam, The Netherlands
| | - Harold Snieder
- 1] Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands [2] Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology (FA40), University Medical Center Groningen, Groningen, The Netherlands
| | - M Fabiola Del Greco
- Center for Biomedicine, European Academy of Bozen/Bolzano (EURAC), affiliated to the University of Lübeck, Bolzano, Italy
| | - Andre Franke
- Institute of Clinical Molecular Biology, Kiel, Germany
| | - Ute Nöthlings
- 1] Popgen Biobank, University Hospital Schleswig-Holstein, Kiel, Germany [2] Section for Epidemiology, Institute for Experimental Medicine, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank popgen, Christian-Albrechts University, Kiel, Germany
| | - Stephan J L Bakker
- University Medical Center Groningen, Department of Nephrology, University of Groningen, Groningen, The Netherlands
| | - Ron T Gansevoort
- University Medical Center Groningen, Department of Nephrology, University of Groningen, Groningen, The Netherlands
| | - Pim van der Harst
- University Medical Center Groningen, Department of Cardiology, University of Groningen, Groningen, The Netherlands
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Sanaz Sedaghat
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Stefan Coassin
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Barbara Kollerits
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Private Medical University Salzburg, Salzburg, Austria
| | - Nicole Aumann
- Department SHIP/KEF, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Karlhans Endlich
- Institute of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
| | - Mike Pietzner
- Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Rainer Rettig
- Institute of Physiology, University of Greifswald, Greifswald-Karlsburg, Germany
| | - Vincent Chouraki
- Inserm, U744, Institut Pasteur de Lille, Université Lille-Nord de France, CHR&U de Lille, Service d'épidémiologie régional, CHRU, Lille, France
| | - Catherine Helmer
- Inserm, U897, Université Bordeaux 2, ISPED, ISPED, Université Bordeaux 2, Bordeaux, France
| | - Jean-Charles Lambert
- Inserm, U744, Institut Pasteur de Lille, Université Lille-Nord de France, Institut Pasteur, Lille, France
| | - Marie Metzger
- Inserm, U1018, University Paris-Sud, CESP Team 10, Villejuif, France
| | - Benedicte Stengel
- Inserm, U1018, University Paris-Sud, CESP Team 10, Villejuif, France
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | | | - Olli Raitakari
- 1] Department of Clinical Physiology, Turku University Hospital, Turku, Finland [2] Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Andrew Johnson
- NHLBI Cardiovascular Epidemiology and Human Genomics Branch, Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, Massachusetts, USA
| | - Afshin Parsa
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Murielle Bochud
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Epalinges, Switzerland
| | - Iris M Heid
- 1] Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany [2] Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Wolfram Goessling
- 1] Divisions of Genetics and Gastroenterology, Department of Medicine, Brigham and Women's Hospital, and Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA [2] Harvard Stem Cell Institute, Harvard University and Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Anna Köttgen
- 1] Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA [2] Renal Division, Freiburg University Clinic, Germany, Freiburg, Germany
| | - W H Linda Kao
- 1] Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA [2] Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, Maryland, USA
| | - Caroline S Fox
- 1] NHLBI's Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, Massachusetts, USA [2] Department of Endocrinology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Carsten A Böger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
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Rothe HM, Specht P, Haun M, Kollerits B, Kronenberg F, Brandenburg VM, Ketteler M. SP639CANDIDATE GENE POLYMORPHISMS IN CALCIPHYLAXIS. Nephrol Dial Transplant 2015. [DOI: 10.1093/ndt/gfv199.05] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Imboden M, Kumar A, Curjuric I, Adam M, Thun GA, Haun M, Tsai MY, Pons M, Bettschart R, Turk A, Rochat T, Künzli N, Schindler C, Kronenberg F, Probst-Hensch NM. Modification of the association between PM10 and lung function decline by cadherin 13 polymorphisms in the SAPALDIA cohort: a genome-wide interaction analysis. Environ Health Perspect 2015; 123:72-9. [PMID: 25127211 PMCID: PMC4286270 DOI: 10.1289/ehp.1307398] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2013] [Accepted: 08/13/2014] [Indexed: 05/03/2023]
Abstract
BACKGROUND Both air pollution and genetic variation have been shown to affect lung function. Their interaction has not been studied on a genome-wide scale to date. OBJECTIVES We aimed to identify, in an agnostic fashion, genes that modify the association between long-term air pollution exposure and annual lung function decline in an adult population-based sample. METHODS A two-stage genome-wide interaction study was performed. The discovery (n = 763) and replication (n = 3,896) samples were derived from the multi-center SAPALDIA cohort (Swiss Cohort Study on Air Pollution and Lung Disease in Adults). Annual rate of decline in the forced mid-expiratory flow (FEF25-75%) was the main end point. Multivariate linear regression analyses were used to identify potential multiplicative interactions between genotypes and 11-year cumulative PM10 exposure. RESULTS We identified a cluster of variants intronic to the CDH13 gene as the only locus with genome-wide significant interactions. The strongest interaction was observed for rs2325934 (p = 8.8 × 10(-10)). Replication of the interaction between this CDH13 variant and cumulative PM10 exposure on annual decline in FEF25-75% was successful (p = 0.008). The interaction was not sensitive to adjustment for smoking or body weight. CONCLUSIONS CDH13 is functionally linked to the adipokine adiponectin, an inflammatory regulator. Future studies need to confirm the interaction and assess how the result relates to previously observed interactions between air pollution and obesity on respiratory function.
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Affiliation(s)
- Medea Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland
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18
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Pechlaner R, Willeit P, Summerer M, Santer P, Egger G, Kronenberg F, Demetz E, Weiss G, Tsimikas S, Witztum JL, Willeit K, Iglseder B, Paulweber B, Kedenko L, Haun M, Meisinger C, Gieger C, Müller-Nurasyid M, Peters A, Willeit J, Kiechl S. Heme oxygenase-1 gene promoter microsatellite polymorphism is associated with progressive atherosclerosis and incident cardiovascular disease. Arterioscler Thromb Vasc Biol 2014; 35:229-36. [PMID: 25359861 DOI: 10.1161/atvbaha.114.304729] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
OBJECTIVE The enzyme heme oxygenase-1 (HO-1) exerts cytoprotective effects in response to various cellular stressors. A variable number tandem repeat polymorphism in the HO-1 gene promoter region has previously been linked to cardiovascular disease. We examined this association prospectively in the general population. APPROACH AND RESULTS Incidence of stroke, myocardial infarction, or vascular death was registered between 1995 and 2010 in 812 participants of the Bruneck Study aged 45 to 84 years (49.4% males). Carotid atherosclerosis progression was quantified by high-resolution ultrasound. HO-1 variable number tandem repeat length was determined by polymerase chain reaction. Subjects with ≥32 tandem repeats on both HO-1 alleles compared with the rest of the population (recessive trait) featured substantially increased cardiovascular disease risk (hazard ratio [95% confidence interval], 5.45 [2.39, 12.42]; P<0.0001), enhanced atherosclerosis progression (median difference in atherosclerosis score [interquartile range], 2.1 [0.8, 5.6] versus 0.0 [0.0, 2.2] mm; P=0.0012), and a trend toward higher levels of oxidized phospholipids on apolipoprotein B-100 (median oxidized phospholipids/apolipoprotein B level [interquartile range], 11364 [4160, 18330] versus 4844 [3174, 12284] relative light units; P=0.0554). Increased cardiovascular disease risk in those homozygous for ≥32 repeats was also detected in a pooled analysis of 7848 participants of the Bruneck, SAPHIR, and KORA prospective studies (hazard ratio [95% confidence interval], 3.26 [1.50, 7.33]; P=0.0043). CONCLUSIONS This study found a strong association between the HO-1 variable number tandem repeat polymorphism and cardiovascular disease risk confined to subjects with a high number of repeats on both HO-1 alleles and provides evidence for accelerated atherogenesis and decreased antioxidant defense in this vascular high-risk group.
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Affiliation(s)
- Raimund Pechlaner
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Peter Willeit
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Monika Summerer
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Peter Santer
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Georg Egger
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Florian Kronenberg
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Egon Demetz
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Günter Weiss
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Sotirios Tsimikas
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Joseph L Witztum
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Karin Willeit
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Bernhard Iglseder
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Bernhard Paulweber
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Lyudmyla Kedenko
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Margot Haun
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Christa Meisinger
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Christian Gieger
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Martina Müller-Nurasyid
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Annette Peters
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Johann Willeit
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.)
| | - Stefan Kiechl
- From the Department of Neurology (R.P., P.W., K.W., J.W., S.K.) and Department of Medical Genetics, Molecular and Clinical Pharmacology, Division of Genetic Epidemiology (M.S., F.K., M.H.), Medical University of Innsbruck, Innsbruck, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.); Departments of Laboratory Medicine (P.S.) and Internal Medicine (G.E.), Hospital of Bruneck, Bruneck, Italy; Department of Internal Medicine VI, Medical University of Innsbruck, Innsbruck, Austria (E.D., G.W.); Department of Medicine, University of California San Diego, La Jolla (S.T., J.L.W.); Department of Geriatric Medicine (B.I.) and First Department of Internal Medicine (B.P., L.K.), Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria; Institute of Epidemiology II (C.M., A.P.), Institute of Genetic Epidemiology (C.G., M.M.-N.), Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany (M.M.-N.); and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany (M.M.-N., A.P.).
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19
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Lamina C, Haun M, Coassin S, Kloss-Brandstätter A, Gieger C, Peters A, Grallert H, Strauch K, Meitinger T, Kedenko L, Paulweber B, Kronenberg F. A systematic evaluation of short tandem repeats in lipid candidate genes: riding on the SNP-wave. PLoS One 2014; 9:e102113. [PMID: 25050552 PMCID: PMC4106801 DOI: 10.1371/journal.pone.0102113] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2014] [Accepted: 06/14/2014] [Indexed: 01/09/2023] Open
Abstract
Structural genetic variants as short tandem repeats (STRs) are not targeted in SNP-based association studies and thus, their possible association signals are missed. We systematically searched for STRs in gene regions known to contribute to total cholesterol, HDL cholesterol, LDL cholesterol and triglyceride levels in two independent studies (KORA F4, n = 2553 and SAPHIR, n = 1648), resulting in 16 STRs that were finally evaluated. In a combined dataset of both studies, the sum of STR alleles was regressed on each phenotype, adjusted for age and sex. The association analyses were repeated for SNPs in a 200 kb region surrounding the respective STRs in the KORA F4 Study. Three STRs were significantly associated with total cholesterol (within LDLR, the APOA1/C3/A4/A5/BUD13 gene region and ABCG5/8), five with HDL cholesterol (3 within CETP, one in LPL and one inAPOA1/C3/A4/A5/BUD13), three with LDL cholesterol (LDLR, ABCG5/8 and CETP) and two with triglycerides (APOA1/C3/A4/A5/BUD13 and LPL). None of the investigated STRs, however, showed a significant association after adjusting for the lead or adjacent SNPs within that gene region. The evaluated STRs were found to be well tagged by the lead SNP within the respective gene regions. Therefore, the STRs reflect the association signals based on surrounding SNPs. In conclusion, none of the STRs contributed additionally to the SNP-based association signals identified in GWAS on lipid traits.
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Affiliation(s)
- Claudia Lamina
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Stefan Coassin
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Anita Kloss-Brandstätter
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - Harald Grallert
- Department of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, TechnischeUniversitätMünchen, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - Lyudmyla Kedenko
- First Department of Internal Medicine, Paracelsus Private Medical University Salzburg, Salzburg, Austria
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Private Medical University Salzburg, Salzburg, Austria
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
- * E-mail:
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20
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Pechlaner R, Kiechl S, Willeit P, Demetz E, Haun M, Weger S, Oberhollenzer F, Kronenberg F, Bonora E, Weiss G, Willeit J. Haptoglobin 2-2 genotype is not associated with cardiovascular risk in subjects with elevated glycohemoglobin-results from the Bruneck Study. J Am Heart Assoc 2014; 3:e000732. [PMID: 24837587 PMCID: PMC4309057 DOI: 10.1161/jaha.113.000732] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Haptoglobin (Hp) is an abundant plasma protein with antioxidant properties. The Hp 2-2 genotype has previously been linked to coronary heart disease risk in individuals with elevated glycosylated hemoglobin (HbA1c). We investigated the association of Hp and HbA1c with cardiovascular disease (CVD) in the longitudinal, population-based Bruneck Study. METHODS AND RESULTS Hp genotype was determined by polymerase chain reaction according to standard procedures and HbA1c concentration by a Diabetes Control and Complications Trial-aligned assay. HbA1c was measured in 1995, 2000, and 2005. Occurrence of the combined CVD endpoint of myocardial infarction or stroke was recorded between 1995 and 2010. Outcome analyses employed the Cox proportional hazards model with HbA1c category as time-varying covariate. At baseline in 1995, 806 subjects (male sex, 49.3%; age, mean ± standard deviation, 62.70 ± 11.08 years) were included. During follow-up, 123 subjects experienced at least 1 CVD event (48 suffered myocardial infarction, 68 stroke, and 7 both). Among subjects with HbA1c ≥ 6.5% (≥ 48 mmol/mol), those with the Hp 2-2 genotype did not show an elevated risk of incident CVD compared with those with other genotypes (age- and sex-adjusted hazard ratio [95% CI], 0.47 [0.19, 1.13], P=0.092) and a null association was also observed in subjects with HbA1c<6.5% (1.10 [0.75, 1.62], P=0.629) (P for interaction=0.082). CONCLUSIONS Subjects with the Hp 2-2 genotype and elevated HbA1c compared with subjects with other Hp genotypes and elevated HbA1c did not show increased CVD risk.
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Affiliation(s)
- Raimund Pechlaner
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria (R.P., S.K., P.W., J.W.)
| | - Stefan Kiechl
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria (R.P., S.K., P.W., J.W.)
| | - Peter Willeit
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria (R.P., S.K., P.W., J.W.) Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (P.W.)
| | - Egon Demetz
- Department of Internal Medicine VI, Medical University Innsbruck, Innsbruck, Austria (E.D., W.)
| | - Margot Haun
- Division of Genetic Epidemiology, Medical University Innsbruck, Innsbruck, Austria (M.H., F.K.)
| | - Siegfried Weger
- Department of Internal Medicine, Hospital of Bruneck, Bruneck, Italy (S.W., F.O.)
| | | | - Florian Kronenberg
- Division of Genetic Epidemiology, Medical University Innsbruck, Innsbruck, Austria (M.H., F.K.)
| | - Enzo Bonora
- Division of Endocrinology, Diabetes and Metabolic Diseases, University and Hospital Trust of Verona, Verona, Italy (E.B.)
| | - Günter Weiss
- Department of Internal Medicine VI, Medical University Innsbruck, Innsbruck, Austria (E.D., W.)
| | - Johann Willeit
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria (R.P., S.K., P.W., J.W.)
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21
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Thun GA, Imboden M, Künzli N, Rochat T, Keidel D, Haun M, Schindler C, Kronenberg F, Probst-Hensch NM. Follow-up on genome-wide main effects: do polymorphisms modify the air pollution effect on lung function decline in adults? Environ Int 2014; 64:110-115. [PMID: 24388947 DOI: 10.1016/j.envint.2013.12.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2013] [Revised: 12/06/2013] [Accepted: 12/13/2013] [Indexed: 06/03/2023]
Abstract
Improved air quality has been found associated with attenuated age-related decline in lung function. But whether genetic polymorphisms strongly associated with lung function play a modifying role in this attenuation process has so far not been investigated. We selected ten single nucleotide polymorphisms derived from the largest genome-wide association studies on lung function and examined whether they modified the association between the change in exposure to particulate matter ≤10μm (ΔPM10) and lung function decline. 4310 participants from the SAPALDIA cohort provided valid spirometry measurements, a detailed pulmonary health questionnaire both at baseline and 11years later as well as blood samples for genetic testing. Spatially and temporally resolved air pollution exposures were assigned on an individual level based on participants' residences. Statistically significant interactions of moderate strength with ΔPM10 were detected for rs2284746. Individuals with the CC genotype had a 21ml slower annual decline of the mid expiratory flow per 10μg/m(3) PM10 reduction over an 10-year period, while the benefits of CG and GG carriers were smaller (14 and 7ml per year, respectively; Pinteraction=0.04). The attenuated annual decline in the percentage of the forced expiratory volume in one second relative to the forced vital capacity (FEV1/FVC) was also increased with the presence of each C-allele (Pinteraction=0.009). We observed further suggestive interactions of similar magnitude in never-smokers, but none of the results would remain statistically significant after correction for multiple testing. We could not find strong evidence that lung function benefits from improved air quality are modified by polymorphisms associated with lung function level in large meta-analyzed genome-wide association studies.
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Affiliation(s)
- Gian Andri Thun
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Medea Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Nino Künzli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Thierry Rochat
- Division of Pulmonary Medicine, University Hospital of Geneva, Geneva, Switzerland.
| | - Dirk Keidel
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Margot Haun
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria.
| | - Christian Schindler
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria.
| | - Nicole M Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
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22
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Parsa A, Fuchsberger C, Köttgen A, O’Seaghdha CM, Pattaro C, de Andrade M, Chasman DI, Teumer A, Endlich K, Olden M, Chen MH, Tin A, Kim YJ, Taliun D, Li M, Feitosa M, Gorski M, Yang Q, Hundertmark C, Foster MC, Glazer N, Isaacs A, Rao M, Smith AV, O’Connell JR, Struchalin M, Tanaka T, Li G, Hwang SJ, Atkinson EJ, Lohman K, Cornelis MC, Johansson Å, Tönjes A, Dehghan A, Couraki V, Holliday EG, Sorice R, Kutalik Z, Lehtimäki T, Esko T, Deshmukh H, Ulivi S, Chu AY, Murgia F, Trompet S, Imboden M, Kollerits B, Pistis G, Harris TB, Launer LJ, Aspelund T, Eiriksdottir G, Mitchell BD, Boerwinkle E, Schmidt H, Hofer E, Hu F, Demirkan A, Oostra BA, Turner ST, Ding J, Andrews JS, Freedman BI, Giulianini F, Koenig W, Illig T, Döring A, Wichmann HE, Zgaga L, Zemunik T, Boban M, Minelli C, Wheeler HE, Igl W, Zaboli G, Wild SH, Wright AF, Campbell H, Ellinghaus D, Nöthlings U, Jacobs G, Biffar R, Ernst F, Homuth G, Kroemer HK, Nauck M, Stracke S, Völker U, Völzke H, Kovacs P, Stumvoll M, Mägi R, Hofman A, Uitterlinden AG, Rivadeneira F, Aulchenko YS, Polasek O, Hastie N, Vitart V, Helmer C, Wang JJ, Stengel B, Ruggiero D, Bergmann S, Kähönen M, Viikari J, Nikopensius T, Province M, Colhoun H, Doney A, Robino A, Krämer BK, Portas L, Ford I, Buckley BM, Adam M, Thun GA, Paulweber B, Haun M, Sala C, Mitchell P, Ciullo M, Vollenweider P, Raitakari O, Metspalu A, Palmer C, Gasparini P, Pirastu M, Jukema JW, Probst-Hensch NM, Kronenberg F, Toniolo D, Gudnason V, Shuldiner AR, Coresh J, Schmidt R, Ferrucci L, van Duijn CM, Borecki I, Kardia SL, Liu Y, Curhan GC, Rudan I, Gyllensten U, Wilson JF, Franke A, Pramstaller PP, Rettig R, Prokopenko I, Witteman J, Hayward C, Ridker PM, Bochud M, Heid IM, Siscovick DS, Fox CS, Kao WL, Böger CA. Common variants in Mendelian kidney disease genes and their association with renal function. J Am Soc Nephrol 2013; 24:2105-17. [PMID: 24029420 PMCID: PMC3839542 DOI: 10.1681/asn.2012100983] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2012] [Accepted: 07/10/2013] [Indexed: 12/28/2022] Open
Abstract
Many common genetic variants identified by genome-wide association studies for complex traits map to genes previously linked to rare inherited Mendelian disorders. A systematic analysis of common single-nucleotide polymorphisms (SNPs) in genes responsible for Mendelian diseases with kidney phenotypes has not been performed. We thus developed a comprehensive database of genes for Mendelian kidney conditions and evaluated the association between common genetic variants within these genes and kidney function in the general population. Using the Online Mendelian Inheritance in Man database, we identified 731 unique disease entries related to specific renal search terms and confirmed a kidney phenotype in 218 of these entries, corresponding to mutations in 258 genes. We interrogated common SNPs (minor allele frequency >5%) within these genes for association with the estimated GFR in 74,354 European-ancestry participants from the CKDGen Consortium. However, the top four candidate SNPs (rs6433115 at LRP2, rs1050700 at TSC1, rs249942 at PALB2, and rs9827843 at ROBO2) did not achieve significance in a stage 2 meta-analysis performed in 56,246 additional independent individuals, indicating that these common SNPs are not associated with estimated GFR. The effect of less common or rare variants in these genes on kidney function in the general population and disease-specific cohorts requires further research.
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Affiliation(s)
- Afshin Parsa
- Division of Nephrology, University of Maryland School of Medicine, Baltimore, Maryland
| | - Christian Fuchsberger
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Anna Köttgen
- Renal Division, Freiburg University Clinic, Freiburg, Germany
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Conall M. O’Seaghdha
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts
- Division of Nephrology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Cristian Pattaro
- Centre for Biomedicine, European Academy of Bozen/Bolzano, Bolzano, Italy
| | - Mariza de Andrade
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Karlhans Endlich
- Institute of Anatomy and Cell Biology, University of Greifswald, Greifswald, Germany
| | - Matthias Olden
- Division of Nephrology, Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Ming-Huei Chen
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Young J. Kim
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
- Genomics Resource Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea
| | - Daniel Taliun
- Centre for Biomedicine, European Academy of Bozen/Bolzano, Bolzano, Italy
| | - Man Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Mary Feitosa
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri
| | - Mathias Gorski
- Division of Nephrology, Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | | | - Meredith C. Foster
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts
| | - Nicole Glazer
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Aaron Isaacs
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Centre for Medical Systems Biology, Rotterdam, The Netherlands
| | - Madhumathi Rao
- Division of Nephrology, Tufts Evidence Practice Center, Tufts University School of Medicine, Tufts Medical Center, Boston, Massachusetts
| | - Albert V. Smith
- Research Institute, Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Jeffrey R. O’Connell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Maksim Struchalin
- Departments of Epidemiology and Biostatistics and Forensic Molecular Biology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute of Aging, Baltimore Maryland
| | - Guo Li
- University of Washington, Seattle, Washington
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts
| | - Elizabeth J. Atkinson
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Kurt Lohman
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Marilyn C. Cornelis
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
| | - Åsa Johansson
- Rudbeck Laboratory, Department of Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Anke Tönjes
- Department of Medicine, University of Leipzig, Leipzig, Germany
- Adiposity Diseases Integrated Research and Treatment Center, University of Leipzig, Leipzig, Germany
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Elizabeth G. Holliday
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
- Centre for Information-Based Medicine, Hunter Medical Research Institute, Newcastle, Australia
| | - Rossella Sorice
- Adriano-Buzzati Traverso-CNR Institute of Genetics and Biophysics, Naples, Italy
| | - Zoltan Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Terho Lehtimäki
- Fimlab Laboratories, Department of Clinical Chemistry, School of Medicine, University of Tampere, Tampere, Finland
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, Estonian Biocentre, University of Tartu, Tartu, Estonia
| | - Harshal Deshmukh
- Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, University of Dundee, Ninewells Hospital, Dundee, United Kingdom
| | - Sheila Ulivi
- IRCCS Burlo Garofolo Institute for Maternal and Child Health, University of Trieste, Trieste, Italy
| | - Audrey Y. Chu
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Medea Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Barbara Kollerits
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Giorgio Pistis
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland
| | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland
| | - Thor Aspelund
- Research Institute, Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | | | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center, Houston, Texas
| | - Helena Schmidt
- Austrian Stroke Prevention Study, Department of Neurology, Institute of Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
| | - Edith Hofer
- Austrian Stroke Prevention Study, Clinical Division of Neurogeriatrics, Department of Neurology, University Clinic of Neurology, Medical University of Graz, Graz, Austria
| | - Frank Hu
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
| | - Ayse Demirkan
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ben A. Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Stephen T. Turner
- Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota
| | - Jingzhong Ding
- Division of Geriatrics, Department of Internal Medicine, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Jeanette S. Andrews
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Barry I. Freedman
- Division of Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Wolfgang Koenig
- Department of Internal Medicine II, Ulm University Clinic, University of Ulm, Ulm, Germany
| | - Thomas Illig
- Hanover Unified Biobank, Hanover Medical School, Hanover, Germany
- Research Unit of Molecular Epidemiology, German Research Center for Environmental Health, Neuherberg, Germany
| | - Angela Döring
- Institute of Epidemiology I and II, German Research Center for Environmental Health, Neuherberg, Germany
| | - H.-Erich Wichmann
- Institute of Epidemiology I and II, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Informatics, Biometry, and Epidemiology, Ludwig-Maximilians-University, Munich, Germany
- Grosshadern Clinic, Neuherberg, Germany
| | - Lina Zgaga
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, Scotland, United Kingdom
| | - Tatijana Zemunik
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Mladen Boban
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Cosetta Minelli
- Centre for Biomedicine, European Academy of Bozen/Bolzano, Bolzano, Italy
| | - Heather E. Wheeler
- Department of Genetics, Stanford University, Stanford, California
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Wilmar Igl
- Rudbeck Laboratory, Department of Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Ghazal Zaboli
- Rudbeck Laboratory, Department of Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Sarah H. Wild
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, Scotland, United Kingdom
| | - Alan F. Wright
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Harry Campbell
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, Scotland, United Kingdom
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
| | - Ute Nöthlings
- PopGen Biobank, Schleswig-Holstein University Hospital, Kiel, Germany
- Institute for Epidemiology, University of Kiel, Kiel, Germany
- Department of Nutrition and Food Sciences, University of Bonn, Bonn, Germany
| | - Gunnar Jacobs
- PopGen Biobank, Schleswig-Holstein University Hospital, Kiel, Germany
- Institute for Epidemiology, University of Kiel, Kiel, Germany
| | - Reiner Biffar
- Clinic for Prosthodontic Dentistry, Gerostomatology, and Material Science, University of Greifswald, Greifswald, Germany
| | - Florian Ernst
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Heyo K. Kroemer
- Institute of Pharmacology, University of Greifswald, Greifswald, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University of Greifswald, Greifswald, Germany
| | - Sylvia Stracke
- Clinic for Internal Medicine A, University of Greifswald, Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - Peter Kovacs
- Department of Medicine, University of Leipzig, Leipzig, Germany
| | - Michael Stumvoll
- Department of Medicine, University of Leipzig, Leipzig, Germany
- Adiposity Diseases Integrated Research and Treatment Center, University of Leipzig, Leipzig, Germany
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Yurii S. Aulchenko
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ozren Polasek
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Nick Hastie
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Catherine Helmer
- INSERM U897, Institute of Public Health, Victor Segalen Bordeaux II University, Bordeaux, France
- Victor Segalen Bordeaux II University, Bordeaux, France
| | - Jie Jin Wang
- Centre for Vision Research, Westmead Millennium Institute, Westmead Hospital, University of Sydney, Sydney, Australia
- Centre for Eye Research Australia, University of Melbourne, East Melbourne, Australia
| | - Bénédicte Stengel
- INSERM UMRS 1018, Villejuif, France
- UMRS 1018, University of Paris-Sud, Paris, France
| | - Daniela Ruggiero
- Adriano-Buzzati Traverso-CNR Institute of Genetics and Biophysics, Naples, Italy
| | - Sven Bergmann
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, School of Medicine, University of Tampere, Tampere, Finland
| | - Jorma Viikari
- Department of Medicine, Turku University Hospital, University of Turku, Turku, Finland
| | - Tiit Nikopensius
- Institute of Molecular and Cell Biology, Estonian Biocentre, University of Tartu, Tartu, Estonia
| | - Michael Province
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri
| | - Helen Colhoun
- Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, University of Dundee, Ninewells Hospital, Dundee, United Kingdom
| | - Alex Doney
- National Health Service Tayside, Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, Ninewells Hospital, Dundee, United Kingdom
| | - Antonietta Robino
- IRCCS Burlo Garofolo Institute for Maternal and Child Health, University of Trieste, Trieste, Italy
| | - Bernhard K. Krämer
- Fifth Department of Medicine, Mannheim University Medical Centre, Mannheim, Germany
| | - Laura Portas
- CNR Institute of Population Genetics, Sassari, Italy
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, United Kingdom
| | - Brendan M. Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - Martin Adam
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Gian-Andri Thun
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Cinzia Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Paul Mitchell
- Centre for Vision Research, Westmead Millennium Institute, Westmead Hospital, University of Sydney, Sydney, Australia
| | - Marina Ciullo
- Adriano-Buzzati Traverso-CNR Institute of Genetics and Biophysics, Naples, Italy
| | - Peter Vollenweider
- Department of Internal Medicine, Vaudois University Hospital Center, University of Lausanne, Lausanne, Switzerland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, Estonian Biocentre, University of Tartu, Tartu, Estonia
| | - Colin Palmer
- Biomedical Research Institute, University of Dundee, Ninewells Hospital and Medical School, Dundee, United Kingdom
| | - Paolo Gasparini
- IRCCS Burlo Garofolo Institute for Maternal and Child Health, University of Trieste, Trieste, Italy
| | - Mario Pirastu
- CNR Institute of Population Genetics, Sassari, Italy
| | - J. Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
| | - Nicole M. Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
- CNR Institute of Molecular Genetics, Pavia, Italy
| | - Vilmundur Gudnason
- Research Institute, Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Alan R. Shuldiner
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
- Geriatric Research and Education Clinical Center, Veterans Affairs Medical Center, Baltimore, Maryland
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland
| | - Reinhold Schmidt
- Austrian Stroke Prevention Study, Clinical Division of Neurogeriatrics, Department of Neurology, University Clinic of Neurology, Medical University of Graz, Graz, Austria
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute of Aging, Baltimore Maryland
| | - Cornelia M. van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Centre for Medical Systems Biology, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Aging, Netherlands Genomics Initiative, Leiden, the Netherlands
| | - Ingrid Borecki
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri
| | - Sharon L.R. Kardia
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Gary C. Curhan
- Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Igor Rudan
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, Scotland, United Kingdom
| | - Ulf Gyllensten
- Rudbeck Laboratory, Department of Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - James F. Wilson
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, Scotland, United Kingdom
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
| | | | - Rainer Rettig
- Institute of Physiology, University of Greifswald, Karlsburg, Germany
| | - Inga Prokopenko
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, United Kingdom
| | - Jacqueline Witteman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Paul M. Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Murielle Bochud
- University Institute of Social and Preventive Medicine, Vaudois University Hospital Center, University of Lausanne, Lausanne, Switzerland
| | - Iris M. Heid
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; and
| | | | - Caroline S. Fox
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts
- Division of Endocrinology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - W. Linda Kao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland
| | - Carsten A. Böger
- Division of Nephrology, Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
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23
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Weissensteiner H, Haun M, Schönherr S, Neuner M, Forer L, Specht G, Kloss-Brandstätter A, Kronenberg F, Coassin S. SNPflow: a lightweight application for the processing, storing and automatic quality checking of genotyping assays. PLoS One 2013; 8:e59508. [PMID: 23527209 PMCID: PMC3602247 DOI: 10.1371/journal.pone.0059508] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2012] [Accepted: 02/15/2013] [Indexed: 11/30/2022] Open
Abstract
Single nucleotide polymorphisms (SNPs) play a prominent role in modern genetics. Current genotyping technologies such as Sequenom iPLEX, ABI TaqMan and KBioscience KASPar made the genotyping of huge SNP sets in large populations straightforward and allow the generation of hundreds of thousands of genotypes even in medium sized labs. While data generation is straightforward, the subsequent data conversion, storage and quality control steps are time-consuming, error-prone and require extensive bioinformatic support. In order to ease this tedious process, we developed SNPflow. SNPflow is a lightweight, intuitive and easily deployable application, which processes genotype data from Sequenom MassARRAY (iPLEX) and ABI 7900HT (TaqMan, KASPar) systems and is extendible to other genotyping methods as well. SNPflow automatically converts the raw output files to ready-to-use genotype lists, calculates all standard quality control values such as call rate, expected and real amount of replicates, minor allele frequency, absolute number of discordant replicates, discordance rate and the p-value of the HWE test, checks the plausibility of the observed genotype frequencies by comparing them to HapMap/1000-Genomes, provides a module for the processing of SNPs, which allow sex determination for DNA quality control purposes and, finally, stores all data in a relational database. SNPflow runs on all common operating systems and comes as both stand-alone version and multi-user version for laboratory-wide use. The software, a user manual, screenshots and a screencast illustrating the main features are available at http://genepi-snpflow.i-med.ac.at.
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Affiliation(s)
- Hansi Weissensteiner
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
- Department of Database and Information Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Sebastian Schönherr
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
- Department of Database and Information Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria
| | - Mathias Neuner
- Department of Database and Information Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria
| | - Lukas Forer
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
- Department of Database and Information Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria
| | - Günther Specht
- Department of Database and Information Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria
| | - Anita Kloss-Brandstätter
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
- * E-mail:
| | - Stefan Coassin
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
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24
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De Araujo ME, Erhart G, Buck K, Müller-Holzner E, Hubalek M, Fiegl H, Campa D, Canzian F, Eilber U, Chang-Claude J, Coassin S, Haun M, Kedenko L, Paulweber B, Reitsamer R, Himmel I, Flesch-Janys D, Lamina C, Kronenberg F, Huber LA, Kloss-Brandstätter A. Polymorphisms in the gene regions of the adaptor complex LAMTOR2/LAMTOR3 and their association with breast cancer risk. PLoS One 2013; 8:e53768. [PMID: 23341997 PMCID: PMC3547070 DOI: 10.1371/journal.pone.0053768] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2012] [Accepted: 12/04/2012] [Indexed: 12/16/2022] Open
Abstract
Background The late endosomal LAMTOR complex serves as a convergence point for both the RAF/MEK/ERK and the PI3K/AKT/mTOR pathways. Interestingly, both of these signalling cascades play a significant role in the aetiology of breast cancer. Our aim was to address the possible role of genetic polymorphisms in LAMTOR2 and LAMTOR3 as genetic risk factors for breast cancer. Methodology/Results We sequenced the exons and exon–intron boundaries of LAMTOR2 (p14) and LAMTOR3 (MP1) in 50 prospectively collected pairs of cancerous tissue and blood samples from breast cancer patients and compared their genetic variability. We found one single nucleotide polymorphism (SNP) in LAMTOR2 (rs7541) and two SNPs in LAMTOR3 (rs2298735 and rs148972953) in both tumour and blood samples, but no somatic mutations in cancerous tissues. In addition, we genotyped all three SNPs in 296 samples from the Risk Prediction of Breast Cancer Metastasis Study and found evidence of a genetic association between rs148972953 and oestrogen (ER) and progesterone receptor negative status (PR) (ER: OR = 3.60 (1.15–11.28); PR: OR = 4.27 (1.43–12.72)). However, when we additionally genotyped rs148972953 in the MARIE study including 2,715 breast cancer cases and 5,216 controls, we observed neither a difference in genotype frequencies between patients and controls nor was the SNP associated with ER or PR. Finally, all three SNPs were equally frequent in breast cancer samples and female participants (n = 640) of the population-based SAPHIR Study. Conclusions The identified polymorphisms in LAMTOR2 and LAMTOR3 do not seem to play a relevant role in breast cancer. Our work does not exclude a role of other not yet identified SNPs or that the here annotated polymorphism may in fact play a relevant role in other diseases. Our results underscore the importance of replication in association studies.
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Affiliation(s)
| | - Gertraud Erhart
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Katharina Buck
- Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | | | - Michael Hubalek
- Department of Obstetrics and Gynaecology, Innsbruck Medical University, Innsbruck, Austria
| | - Heidelinde Fiegl
- Department of Obstetrics and Gynaecology, Innsbruck Medical University, Innsbruck, Austria
| | - Daniele Campa
- Genomic Epidemiology Group, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Ursula Eilber
- Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Stefan Coassin
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Lyudmyla Kedenko
- First Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria
| | - Roland Reitsamer
- Breast Center Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Irmgard Himmel
- Department of Gynecology and Obstetrics, Hospital Meran, Meran, Italy
| | - Dieter Flesch-Janys
- Department of Medical Biometrics and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Claudia Lamina
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Lukas A. Huber
- Division of Cell Biology, Innsbruck Medical University, Innsbruck, Austria
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25
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Chasman DI, Fuchsberger C, Pattaro C, Teumer A, Böger CA, Endlich K, Olden M, Chen MH, Tin A, Taliun D, Li M, Gao X, Gorski M, Yang Q, Hundertmark C, Foster MC, O'Seaghdha CM, Glazer N, Isaacs A, Liu CT, Smith AV, O'Connell JR, Struchalin M, Tanaka T, Li G, Johnson AD, Gierman HJ, Feitosa MF, Hwang SJ, Atkinson EJ, Lohman K, Cornelis MC, Johansson A, Tönjes A, Dehghan A, Lambert JC, Holliday EG, Sorice R, Kutalik Z, Lehtimäki T, Esko T, Deshmukh H, Ulivi S, Chu AY, Murgia F, Trompet S, Imboden M, Coassin S, Pistis G, Harris TB, Launer LJ, Aspelund T, Eiriksdottir G, Mitchell BD, Boerwinkle E, Schmidt H, Cavalieri M, Rao M, Hu F, Demirkan A, Oostra BA, de Andrade M, Turner ST, Ding J, Andrews JS, Freedman BI, Giulianini F, Koenig W, Illig T, Meisinger C, Gieger C, Zgaga L, Zemunik T, Boban M, Minelli C, Wheeler HE, Igl W, Zaboli G, Wild SH, Wright AF, Campbell H, Ellinghaus D, Nöthlings U, Jacobs G, Biffar R, Ernst F, Homuth G, Kroemer HK, Nauck M, Stracke S, Völker U, Völzke H, Kovacs P, Stumvoll M, Mägi R, Hofman A, Uitterlinden AG, Rivadeneira F, Aulchenko YS, Polasek O, Hastie N, Vitart V, Helmer C, Wang JJ, Stengel B, Ruggiero D, Bergmann S, Kähönen M, Viikari J, Nikopensius T, Province M, Ketkar S, Colhoun H, Doney A, Robino A, Krämer BK, Portas L, Ford I, Buckley BM, Adam M, Thun GA, Paulweber B, Haun M, Sala C, Mitchell P, Ciullo M, Kim SK, Vollenweider P, Raitakari O, Metspalu A, Palmer C, Gasparini P, Pirastu M, Jukema JW, Probst-Hensch NM, Kronenberg F, Toniolo D, Gudnason V, Shuldiner AR, Coresh J, Schmidt R, Ferrucci L, Siscovick DS, van Duijn CM, Borecki IB, Kardia SLR, Liu Y, Curhan GC, Rudan I, Gyllensten U, Wilson JF, Franke A, Pramstaller PP, Rettig R, Prokopenko I, Witteman J, Hayward C, Ridker PM, Parsa A, Bochud M, Heid IM, Kao WHL, Fox CS, Köttgen A. Integration of genome-wide association studies with biological knowledge identifies six novel genes related to kidney function. Hum Mol Genet 2012; 21:5329-43. [PMID: 22962313 DOI: 10.1093/hmg/dds369] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
In conducting genome-wide association studies (GWAS), analytical approaches leveraging biological information may further understanding of the pathophysiology of clinical traits. To discover novel associations with estimated glomerular filtration rate (eGFR), a measure of kidney function, we developed a strategy for integrating prior biological knowledge into the existing GWAS data for eGFR from the CKDGen Consortium. Our strategy focuses on single nucleotide polymorphism (SNPs) in genes that are connected by functional evidence, determined by literature mining and gene ontology (GO) hierarchies, to genes near previously validated eGFR associations. It then requires association thresholds consistent with multiple testing, and finally evaluates novel candidates by independent replication. Among the samples of European ancestry, we identified a genome-wide significant SNP in FBXL20 (P = 5.6 × 10(-9)) in meta-analysis of all available data, and additional SNPs at the INHBC, LRP2, PLEKHA1, SLC3A2 and SLC7A6 genes meeting multiple-testing corrected significance for replication and overall P-values of 4.5 × 10(-4)-2.2 × 10(-7). Neither the novel PLEKHA1 nor FBXL20 associations, both further supported by association with eGFR among African Americans and with transcript abundance, would have been implicated by eGFR candidate gene approaches. LRP2, encoding the megalin receptor, was identified through connection with the previously known eGFR gene DAB2 and extends understanding of the megalin system in kidney function. These findings highlight integration of existing genome-wide association data with independent biological knowledge to uncover novel candidate eGFR associations, including candidates lacking known connections to kidney-specific pathways. The strategy may also be applicable to other clinical phenotypes, although more testing will be needed to assess its potential for discovery in general.
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Affiliation(s)
- Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA
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26
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Curjuric I, Imboden M, Nadif R, Kumar A, Schindler C, Haun M, Kronenberg F, Künzli N, Phuleria H, Postma DS, Russi EW, Rochat T, Demenais F, Probst-Hensch NM. Different genes interact with particulate matter and tobacco smoke exposure in affecting lung function decline in the general population. PLoS One 2012; 7:e40175. [PMID: 22792237 PMCID: PMC3391223 DOI: 10.1371/journal.pone.0040175] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2011] [Accepted: 06/06/2012] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Oxidative stress related genes modify the effects of ambient air pollution or tobacco smoking on lung function decline. The impact of interactions might be substantial, but previous studies mostly focused on main effects of single genes. OBJECTIVES We studied the interaction of both exposures with a broad set of oxidative-stress related candidate genes and pathways on lung function decline and contrasted interactions between exposures. METHODS For 12679 single nucleotide polymorphisms (SNPs), change in forced expiratory volume in one second (FEV(1)), FEV(1) over forced vital capacity (FEV(1)/FVC), and mean forced expiratory flow between 25 and 75% of the FVC (FEF(25-75)) was regressed on interval exposure to particulate matter <10 µm in diameter (PM10) or packyears smoked (a), additive SNP effects (b), and interaction terms between (a) and (b) in 669 adults with GWAS data. Interaction p-values for 152 genes and 14 pathways were calculated by the adaptive rank truncation product (ARTP) method, and compared between exposures. Interaction effect sizes were contrasted for the strongest SNPs of nominally significant genes (p(interaction)<0.05). Replication was attempted for SNPs with MAF>10% in 3320 SAPALDIA participants without GWAS. RESULTS On the SNP-level, rs2035268 in gene SNCA accelerated FEV(1)/FVC decline by 3.8% (p(interaction) = 2.5×10(-6)), and rs12190800 in PARK2 attenuated FEV1 decline by 95.1 ml p(interaction) = 9.7×10(-8)) over 11 years, while interacting with PM10. Genes and pathways nominally interacting with PM10 and packyears exposure differed substantially. Gene CRISP2 presented a significant interaction with PM10 (p(interaction) = 3.0×10(-4)) on FEV(1)/FVC decline. Pathway interactions were weak. Replications for the strongest SNPs in PARK2 and CRISP2 were not successful. CONCLUSIONS Consistent with a stratified response to increasing oxidative stress, different genes and pathways potentially mediate PM10 and tobacco smoke effects on lung function decline. Ignoring environmental exposures would miss these patterns, but achieving sufficient sample size and comparability across study samples is challenging.
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Affiliation(s)
- Ivan Curjuric
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute SwissTPH, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Medea Imboden
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute SwissTPH, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Rachel Nadif
- INSERM, U1018, CESP Centre for research in Epidemiology and Population Health, Respiratory and Environmental Epidemiology Team, Villejuif, France
- Université Paris-Sud 11, UMRS 1018, Villejuif, France
| | - Ashish Kumar
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute SwissTPH, Basel, Switzerland
- University of Basel, Basel, Switzerland
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Christian Schindler
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute SwissTPH, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Margot Haun
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Nino Künzli
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute SwissTPH, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Harish Phuleria
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute SwissTPH, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Dirkje S. Postma
- Department of Pulmonary Medicine and Tuberculosis, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Erich W. Russi
- Division of Pulmonary Medicine, University Hospital Zürich, Zürich, Switzerland
| | - Thierry Rochat
- Division of Pulmonary Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Florence Demenais
- INSERM, U946, Genetic Variation and Human Diseases Unit, Paris, France
- Fondation Jean Dausset - Centre d’Etude du Polymorphisme Humain (CEPH), Paris, France
- Université Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d’Hématologie, Paris, France
| | - Nicole M. Probst-Hensch
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute SwissTPH, Basel, Switzerland
- University of Basel, Basel, Switzerland
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27
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Kloss-Brandstätter A, Erhart G, Lamina C, Meister B, Haun M, Coassin S, Seifert M, Klein-Franke A, Paulweber B, Kedenko L, Kollerits B, Swinkels DW, Vermeulen SH, Galesloot TE, Kronenberg F, Weiss G. Candidate gene sequencing of SLC11A2 and TMPRSS6 in a family with severe anaemia: common SNPs, rare haplotypes, no causative mutation. PLoS One 2012; 7:e35015. [PMID: 22509377 PMCID: PMC3324414 DOI: 10.1371/journal.pone.0035015] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2011] [Accepted: 03/08/2012] [Indexed: 12/26/2022] Open
Abstract
Background Iron-refractory iron deficiency anaemia (IRIDA) is a rare disorder which was linked to mutations in two genes (SLC11A2 and TMPRSS6). Common polymorphisms within these genes were associated with serum iron levels. We identified a family of Serbian origin with asymptomatic non-consanguineous parents with three of four children presenting with IRIDA not responding to oral but to intravenous iron supplementation. After excluding all known causes responsible for iron deficiency anaemia we searched for mutations in SLC11A2 and TMPRSS6 that could explain the severe anaemia in these children. Methodology/Results We sequenced the exons and exon–intron boundaries of SLC11A2 and TMPRSS6 in all six family members. Thereby, we found seven known and fairly common SNPs, but no new mutation. We then genotyped these seven SNPs in the population-based SAPHIR study (n = 1,726) and performed genetic association analysis on iron and ferritin levels. Only two SNPs, which were top-hits from recent GWAS on iron and ferritin, exhibited an effect on iron and ferritin levels in SAPHIR. Six SAPHIR participants carrying the same TMPRSS6 genotypes and haplotype-pairs as one anaemic son showed lower ferritin and iron levels than the average. One individual exhibiting the joint SLC11A2/TMPRSS6 profile of the anaemic son had iron and ferritin levels lying below the 5th percentile of the population's iron and ferritin level distribution. We then checked the genotype constellations in the Nijmegen Biomedical Study (n = 1,832), but the profile of the anaemic son did not occur in this population. Conclusions We cannot exclude a gene-gene interaction between SLC11A2 and TMPRSS6, but we can also not confirm it. As in this case candidate gene sequencing did not reveal causative rare mutations, the samples will be subjected to whole exome sequencing.
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Affiliation(s)
- Anita Kloss-Brandstätter
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Gertraud Erhart
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Claudia Lamina
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Bernhard Meister
- Department of Paediatrics II, Innsbruck Medical University, Innsbruck, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Stefan Coassin
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Markus Seifert
- Department of Internal Medicine I, Clinical Immunology and Infectious Diseases, Innsbruck Medical University, Innsbruck, Austria
| | | | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria
| | - Lyudmyla Kedenko
- First Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria
| | - Barbara Kollerits
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Dorine W. Swinkels
- Department of Laboratory Medicine, Laboratory of Genetic, Endocrine and Metabolic Diseases, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Sita H. Vermeulen
- Department of Epidemiology, Biostatistics and HTA, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Tessel E. Galesloot
- Department of Epidemiology, Biostatistics and HTA, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
- * E-mail: (FK); (GW)
| | - Günter Weiss
- Department of Internal Medicine I, Clinical Immunology and Infectious Diseases, Innsbruck Medical University, Innsbruck, Austria
- * E-mail: (FK); (GW)
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28
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Dastani Z, Hivert MF, Timpson N, Perry JRB, Yuan X, Scott RA, Henneman P, Heid IM, Kizer JR, Lyytikäinen LP, Fuchsberger C, Tanaka T, Morris AP, Small K, Isaacs A, Beekman M, Coassin S, Lohman K, Qi L, Kanoni S, Pankow JS, Uh HW, Wu Y, Bidulescu A, Rasmussen-Torvik LJ, Greenwood CMT, Ladouceur M, Grimsby J, Manning AK, Liu CT, Kooner J, Mooser VE, Vollenweider P, Kapur KA, Chambers J, Wareham NJ, Langenberg C, Frants R, Willems-vanDijk K, Oostra BA, Willems SM, Lamina C, Winkler TW, Psaty BM, Tracy RP, Brody J, Chen I, Viikari J, Kähönen M, Pramstaller PP, Evans DM, St. Pourcain B, Sattar N, Wood AR, Bandinelli S, Carlson OD, Egan JM, Böhringer S, van Heemst D, Kedenko L, Kristiansson K, Nuotio ML, Loo BM, Harris T, Garcia M, Kanaya A, Haun M, Klopp N, Wichmann HE, Deloukas P, Katsareli E, Couper DJ, Duncan BB, Kloppenburg M, Adair LS, Borja JB, Wilson JG, Musani S, Guo X, Johnson T, Semple R, Teslovich TM, Allison MA, Redline S, Buxbaum SG, Mohlke KL, Meulenbelt I, Ballantyne CM, Dedoussis GV, Hu FB, Liu Y, Paulweber B, Spector TD, Slagboom PE, Ferrucci L, Jula A, Perola M, Raitakari O, Florez JC, Salomaa V, Eriksson JG, Frayling TM, Hicks AA, Lehtimäki T, Smith GD, Siscovick DS, Kronenberg F, van Duijn C, Loos RJF, Waterworth DM, Meigs JB, Dupuis J, Richards JB. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. PLoS Genet 2012; 8:e1002607. [PMID: 22479202 PMCID: PMC3315470 DOI: 10.1371/journal.pgen.1002607] [Citation(s) in RCA: 356] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2011] [Accepted: 02/03/2012] [Indexed: 12/16/2022] Open
Abstract
Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10(-8)-1.2×10(-43)). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p<3×10(-4)). We next developed a multi-SNP genotypic risk score to test the association of adiponectin decreasing risk alleles on metabolic traits and diseases using consortia-level meta-analytic data. This risk score was associated with increased risk of T2D (p = 4.3×10(-3), n = 22,044), increased triglycerides (p = 2.6×10(-14), n = 93,440), increased waist-to-hip ratio (p = 1.8×10(-5), n = 77,167), increased glucose two hours post oral glucose tolerance testing (p = 4.4×10(-3), n = 15,234), increased fasting insulin (p = 0.015, n = 48,238), but with lower in HDL-cholesterol concentrations (p = 4.5×10(-13), n = 96,748) and decreased BMI (p = 1.4×10(-4), n = 121,335). These findings identify novel genetic determinants of adiponectin levels, which, taken together, influence risk of T2D and markers of insulin resistance.
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Affiliation(s)
- Zari Dastani
- Department of Epidemiology, Biostatistics, and Occupational Health, Jewish General Hospital, Lady Davis Institute, McGill University, Montreal, Canada
| | - Marie-France Hivert
- Department of Medicine, Université de Sherbrooke, Sherbrooke, Canada
- General Medicine Division, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Nicholas Timpson
- MRC CAiTE Centre and School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - John R. B. Perry
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Genetics of Complex Traits, Peninsula Medical School, University of Exeter, Exeter, United Kingdom
| | - Xin Yuan
- Genetics, GlaxoSmithKline, King of Prussia, Pennsylvania, United States of America
| | - Robert A. Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Peter Henneman
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Iris M. Heid
- Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Regensburg, Germany
| | - Jorge R. Kizer
- Departments of Medicine and Public Health, Weill Cornell Medical College, New York, New York, United States of America
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Christian Fuchsberger
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute on Aging, Baltimore, Maryland, United States of America
| | - Andrew P. Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Kerrin Small
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom
| | - Aaron Isaacs
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Centre for Medical Systems Biology, Leiden, The Netherlands
| | - Marian Beekman
- Section of Molecular Epidemiology, Leiden University Medical Center and The Netherlands Genomics Initiative, The Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
| | - Stefan Coassin
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Kurt Lohman
- Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Lu Qi
- Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Stavroula Kanoni
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom
| | - James S. Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Hae-Won Uh
- Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands
| | - Ying Wu
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Aurelian Bidulescu
- Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, Georgia, United States of America
| | - Laura J. Rasmussen-Torvik
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Celia M. T. Greenwood
- Lady Davis Institute for Medical Research, Department of Oncology, McGill University, Montreal, Canada
| | - Martin Ladouceur
- Department of Human Genetics McGill University, Montreal, Canada
| | - Jonna Grimsby
- General Medicine Division, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Alisa K. Manning
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Jaspal Kooner
- Cardiology, Ealing Hospital National Health Service (NHS) Trust, London, United Kingdom
| | - Vincent E. Mooser
- Genetics, GlaxoSmithKline, King of Prussia, Pennsylvania, United States of America
| | - Peter Vollenweider
- Department of Internal Medicine, University of Lausanne, Lausanne, Switzerland
| | - Karen A. Kapur
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
| | - John Chambers
- Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Rune Frants
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Ko Willems-vanDijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Ben A. Oostra
- Centre for Medical Systems Biology, Leiden, The Netherlands
- Deptartment of Clinical Genetics and Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Sara M. Willems
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Claudia Lamina
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Thomas W. Winkler
- Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Regensburg, Germany
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, Washington, United States of America
- Group Health Research Institute, Group Health Cooperative, Seattle, Washington, United States of America
| | - Russell P. Tracy
- Departments of Pathology and Biochemistry, University of Vermont, Burlington, Vermont, United States of America
| | - Jennifer Brody
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
| | - Ida Chen
- Medical Genetics Research Institute, Cedars Sinai Medical Center, Los Angeles, California, United States of America
| | - Jorma Viikari
- Department of Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Peter P. Pramstaller
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC) (Affiliated Institute of the University of Lübeck, Lübeck, Germany), Bolzano, Italy
- Department of Neurology, General Central Hospital, Bolzano, Italy
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - David M. Evans
- MRC CAiTE Centre and School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Beate St. Pourcain
- School of Social and community medicine, University of Bristol, Bristol, United Kingdom
| | - Naveed Sattar
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom
| | - Andrew R. Wood
- Genetics of Complex Traits, Peninsula Medical School, University of Exeter, Exeter, United Kingdom
| | | | - Olga D. Carlson
- Laboratory of Clinical Investigation, National Institute of Aging, Baltimore, Maryland, United States of America
| | - Josephine M. Egan
- Laboratory of Clinical Investigation, National Institute of Aging, Baltimore, Maryland, United States of America
| | - Stefan Böhringer
- Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands
| | - Diana van Heemst
- Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Lyudmyla Kedenko
- First Department of Internal Medicine, St. Johann Spital, Paracelsus Private Medical University Salzburg, Salzburg, Austria
| | - Kati Kristiansson
- Public Health Genomics Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, and Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Marja-Liisa Nuotio
- Public Health Genomics Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, and Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Britt-Marie Loo
- Population Studies Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Turku, Finland
| | - Tamara Harris
- Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Melissa Garcia
- Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Alka Kanaya
- Division of General Internal Medicine, Women's Health Clinical Research Center, University of California San Francisco, San Francisco, California, United States of America
| | - Margot Haun
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Norman Klopp
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - H.-Erich Wichmann
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
- Klinikum Großhadern, Munich, Germany
| | - Panos Deloukas
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom
| | | | - David J. Couper
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Bruce B. Duncan
- School of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Margreet Kloppenburg
- Department of Rheumatology and Department of Clinical Epidemiology, Leiden, The Netherlands
| | - Linda S. Adair
- Department of Nutrition, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Judith B. Borja
- Office of Population Studies Foundation, University of San Carlos, Cebu City, Philippines
| | | | | | | | | | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Solomon Musani
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Xiuqing Guo
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Toby Johnson
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- University Institute of Social and Preventative Medicine, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Robert Semple
- Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Tanya M. Teslovich
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Matthew A. Allison
- Department of Family and Preventive Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Susan Redline
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Sarah G. Buxbaum
- Jackson Heart Study Coordinating Center, Jackson State University, Jackson, Mississippi, United States of America
| | - Karen L. Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Ingrid Meulenbelt
- Section of Molecular Epidemiology, Leiden University Medical Center and The Netherlands Genomics Initiative, The Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
| | - Christie M. Ballantyne
- Baylor College of Medicine and Methodist DeBakey Heart and Vascular Center, Houston, Texas, United States of America
| | | | - Frank B. Hu
- Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Yongmei Liu
- Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Bernhard Paulweber
- First Department of Internal Medicine, St. Johann Spital, Paracelsus Private Medical University Salzburg, Salzburg, Austria
| | - Timothy D. Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - P. Eline Slagboom
- Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute on Aging, Baltimore, Maryland, United States of America
| | - Antti Jula
- Population Studies Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Turku, Finland
| | - Markus Perola
- Public Health Genomics Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, and Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku and the Department of Clinical Physiology, Turku University Hospital, Turku, Finland
| | - Jose C. Florez
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Diabetes Research Center, Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Veikko Salomaa
- Chronic Disease Epidemiology and Prevention Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Johan G. Eriksson
- Diabetes Prevention Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
- Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland
- Folkhalsan Research Centre, Helsinki, Finland
- Vaasa Central Hospital, Vaasa, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| | - Timothy M. Frayling
- Genetics of Complex Traits, Peninsula Medical School, University of Exeter, Exeter, United Kingdom
| | - Andrew A. Hicks
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC) (Affiliated Institute of the University of Lübeck, Lübeck, Germany), Bolzano, Italy
| | - Terho Lehtimäki
- Department of Clinical Chemistry, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - George Davey Smith
- MRC CAiTE Centre and School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | | | - Florian Kronenberg
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Cornelia van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Centre for Medical Systems Biology, Leiden, The Netherlands
| | - Ruth J. F. Loos
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Dawn M. Waterworth
- Genetics, GlaxoSmithKline, King of Prussia, Pennsylvania, United States of America
| | - James B. Meigs
- General Medicine Division, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Josee Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, United States of America
| | - J. Brent Richards
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
- Departments of Medicine, Human Genetics, Epidemiology, and Biostatistics, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Canada
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Pattaro C, Köttgen A, Teumer A, Garnaas M, Böger CA, Fuchsberger C, Olden M, Chen MH, Tin A, Taliun D, Li M, Gao X, Gorski M, Yang Q, Hundertmark C, Foster MC, O'Seaghdha CM, Glazer N, Isaacs A, Liu CT, Smith AV, O'Connell JR, Struchalin M, Tanaka T, Li G, Johnson AD, Gierman HJ, Feitosa M, Hwang SJ, Atkinson EJ, Lohman K, Cornelis MC, Johansson Å, Tönjes A, Dehghan A, Chouraki V, Holliday EG, Sorice R, Kutalik Z, Lehtimäki T, Esko T, Deshmukh H, Ulivi S, Chu AY, Murgia F, Trompet S, Imboden M, Kollerits B, Pistis G, Harris TB, Launer LJ, Aspelund T, Eiriksdottir G, Mitchell BD, Boerwinkle E, Schmidt H, Cavalieri M, Rao M, Hu FB, Demirkan A, Oostra BA, de Andrade M, Turner ST, Ding J, Andrews JS, Freedman BI, Koenig W, Illig T, Döring A, Wichmann HE, Kolcic I, Zemunik T, Boban M, Minelli C, Wheeler HE, Igl W, Zaboli G, Wild SH, Wright AF, Campbell H, Ellinghaus D, Nöthlings U, Jacobs G, Biffar R, Endlich K, Ernst F, Homuth G, Kroemer HK, Nauck M, Stracke S, Völker U, Völzke H, Kovacs P, Stumvoll M, Mägi R, Hofman A, Uitterlinden AG, Rivadeneira F, Aulchenko YS, Polasek O, Hastie N, Vitart V, Helmer C, Wang JJ, Ruggiero D, Bergmann S, Kähönen M, Viikari J, Nikopensius T, Province M, Ketkar S, Colhoun H, Doney A, Robino A, Giulianini F, Krämer BK, Portas L, Ford I, Buckley BM, Adam M, Thun GA, Paulweber B, Haun M, Sala C, Metzger M, Mitchell P, Ciullo M, Kim SK, Vollenweider P, Raitakari O, Metspalu A, Palmer C, Gasparini P, Pirastu M, Jukema JW, Probst-Hensch NM, Kronenberg F, Toniolo D, Gudnason V, Shuldiner AR, Coresh J, Schmidt R, Ferrucci L, Siscovick DS, van Duijn CM, Borecki I, Kardia SLR, Liu Y, Curhan GC, Rudan I, Gyllensten U, Wilson JF, Franke A, Pramstaller PP, Rettig R, Prokopenko I, Witteman JCM, Hayward C, Ridker P, Parsa A, Bochud M, Heid IM, Goessling W, Chasman DI, Kao WHL, Fox CS. Genome-wide association and functional follow-up reveals new loci for kidney function. PLoS Genet 2012; 8:e1002584. [PMID: 22479191 PMCID: PMC3315455 DOI: 10.1371/journal.pgen.1002584] [Citation(s) in RCA: 152] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2011] [Accepted: 01/22/2012] [Indexed: 01/06/2023] Open
Abstract
Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD risk factors. We uncovered 6 new loci in association with estimated glomerular filtration rate (eGFR), the primary clinical measure of CKD, in or near MPPED2, DDX1, SLC47A1, CDK12, CASP9, and INO80. Morpholino knockdown of mpped2 and casp9 in zebrafish embryos revealed podocyte and tubular abnormalities with altered dextran clearance, suggesting a role for these genes in renal function. By providing new insights into genes that regulate renal function, these results could further our understanding of the pathogenesis of CKD.
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Affiliation(s)
- Cristian Pattaro
- Institute of Genetic Medicine, European Academy of Bozen/Bolzano (EURAC) and Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Renal Division, Freiburg University Clinic, Freiburg, Germany
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Maija Garnaas
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Carsten A. Böger
- Department of Internal Medicine II, University Medical Center Regensburg, Regensburg, Germany
| | - Christian Fuchsberger
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Matthias Olden
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
- Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Regensburg, Germany
| | - Ming-Huei Chen
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Daniel Taliun
- Institute of Genetic Medicine, European Academy of Bozen/Bolzano (EURAC) and Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Man Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Xiaoyi Gao
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Mathias Gorski
- Department of Epidemiology and Preventive Medicine, University Hospital Regensburg, Regensburg, Germany
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | | | - Meredith C. Foster
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
| | - Conall M. O'Seaghdha
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
- Division of Nephrology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Nicole Glazer
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Aaron Isaacs
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Centre for Medical Systems Biology, Leiden, The Netherlands
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Albert V. Smith
- Icelandic Heart Association, Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Jeffrey R. O'Connell
- Department of Medicine, University of Maryland Medical School, Baltimore, Maryland, United States of America
| | - Maksim Struchalin
- Department of Epidemiology and Biostatistics and Department of Forensic Molecular Biology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute of Aging, Baltimore, Maryland, United States of America
| | - Guo Li
- University of Washington, Seattle, Washington, United States of America
| | - Andrew D. Johnson
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
| | - Hinco J. Gierman
- Department of Developmental Biology, Stanford University, Stanford, California, United States of America
| | - Mary Feitosa
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
| | - Elizabeth J. Atkinson
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Kurt Lohman
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Marilyn C. Cornelis
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Åsa Johansson
- Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Anke Tönjes
- Department of Medicine, University of Leipzig, Leipzig, Germany
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Elizabeth G. Holliday
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
- Centre for Information-based Medicine, Hunter Medical Research Institute, Newcastle, Australia
| | - Rossella Sorice
- Institute of Genetics and Biophysics “Adriano-Buzzati Traverso”–CNR, Napoli, Italy
| | - Zoltan Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, University of Tampere and Tampere University Hospital, Centre for Laboratory Medicine Tampere Finn-Medi 2, Tampere, Finland
| | - Tõnu Esko
- Estonian Genome Center of University of Tartu (EGCUT), Tartu, Estonia
- Estonian Biocenter and Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Harshal Deshmukh
- Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, Ninewells Hospital, University of Dundee, Dundee, United Kingdom
| | - Sheila Ulivi
- Institute for Maternal and Child Health – IRCCS “Burlo Garofolo”, Trieste, Italy
| | - Audrey Y. Chu
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | | | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Medea Imboden
- Unit of Chronic Disease Epidemiology, Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Barbara Kollerits
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Giorgio Pistis
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | | | | | | | | | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, NIA, Bethesda, Maryland, United States of America
| | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, and Biometry, NIA, Bethesda, Maryland, United States of America
| | - Thor Aspelund
- Icelandic Heart Association, Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | | | - Braxton D. Mitchell
- Department of Medicine, University of Maryland Medical School, Baltimore, Maryland, United States of America
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center, Houston, Texas, United States of America
| | - Helena Schmidt
- Austrian Stroke Prevention Study, Institute of Molecular Biology and Biochemistry and Department of Neurology, Medical University Graz, Graz, Austria
| | - Margherita Cavalieri
- Austrian Stroke Prevention Study, University Clinic of Neurology, Department of Special Neurology, Medical University Graz, Graz, Austria
| | - Madhumathi Rao
- Division of Nephrology/Tufts Evidence Practice Center, Tufts University School of Medicine, Tufts Medical Center, Boston, Massachusetts, United States of America
| | - Frank B. Hu
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Ayse Demirkan
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ben A. Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Mariza de Andrade
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Stephen T. Turner
- Department of Internal Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Jingzhong Ding
- Department of Internal Medicine/Geriatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Jeanette S. Andrews
- Department of Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Barry I. Freedman
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | | | - Thomas Illig
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Angela Döring
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - H.-Erich Wichmann
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry, and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
- Klinikum Grosshadern, Neuherberg, Germany
| | - Ivana Kolcic
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Tatijana Zemunik
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Mladen Boban
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Cosetta Minelli
- Institute of Genetic Medicine, European Academy of Bozen/Bolzano (EURAC) and Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Heather E. Wheeler
- Department of Genetics, Stanford University, Stanford, California, United States of America
- Department of Medicine, University of Chicago, Chicago, Illinois, United States of America
| | - Wilmar Igl
- Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Ghazal Zaboli
- Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Sarah H. Wild
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Alan F. Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Harry Campbell
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
| | - Ute Nöthlings
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
- popgen Biobank, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Gunnar Jacobs
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
- popgen Biobank, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Reiner Biffar
- Clinic for Prosthodontic Dentistry, Gerostomatology, and Material Science, University of Greifswald, Greifswald, Germany
| | - Karlhans Endlich
- Institute of Anatomy and Cell Biology, University of Greifswald, Greifswald, Germany
| | - Florian Ernst
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Heyo K. Kroemer
- Institute of Pharmacology, University of Greifswald, Greifswald, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Sylvia Stracke
- Clinic for Internal Medicine A, University of Greifswald, Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - Peter Kovacs
- Department of Medicine, University of Leipzig, Leipzig, Germany
| | - Michael Stumvoll
- Department of Medicine, University of Leipzig, Leipzig, Germany
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Reedik Mägi
- Estonian Genome Center of University of Tartu (EGCUT), Tartu, Estonia
- Wellcome Trust Centre for Human Genetics and Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, United Kingdom
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Andre G. Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Yurii S. Aulchenko
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ozren Polasek
- Croatian Centre for Global Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Nick Hastie
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Veronique Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Catherine Helmer
- INSERM U897, Université Victor Ségalen Bordeaux 2, ISPED, Bordeaux, France
- Université Bordeaux 2 Victor Segalen, Bordeaux, France
| | - Jie Jin Wang
- Centre for Vision Research, Westmead Millennium Institute, Westmead Hospital, University of Sydney, Sydney, Australia
- Centre for Eye Research Australia (CERA), University of Melbourne, Melbourne, Australia
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics “Adriano-Buzzati Traverso”–CNR, Napoli, Italy
| | - Sven Bergmann
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Mika Kähönen
- Department of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Jorma Viikari
- Department of Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - Tiit Nikopensius
- Estonian Biocenter and Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Michael Province
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Shamika Ketkar
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Helen Colhoun
- Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, Ninewells Hospital, University of Dundee, Dundee, United Kingdom
| | - Alex Doney
- NHS Tayside, Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, Ninewells Hospital, University of Dundee, Dundee, United Kingdom
| | - Antonietta Robino
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo,” University of Trieste, Trieste, Italy
| | - Franco Giulianini
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Bernhard K. Krämer
- University Medical Centre Mannheim, 5th Department of Medicine, Mannheim, Germany
| | - Laura Portas
- Institute of Population Genetics – CNR, Sassari, Italy
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, United Kingdom
| | - Brendan M. Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - Martin Adam
- Unit of Chronic Disease Epidemiology, Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Gian-Andri Thun
- Unit of Chronic Disease Epidemiology, Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Cinzia Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Marie Metzger
- Inserm UMRS 1018, CESP Team 10, Université Paris Sud, Villejuif, France
| | - Paul Mitchell
- Centre for Vision Research, Westmead Millennium Institute, Westmead Hospital, University of Sydney, Sydney, Australia
| | - Marina Ciullo
- Institute of Genetics and Biophysics “Adriano-Buzzati Traverso”–CNR, Napoli, Italy
| | - Stuart K. Kim
- Department of Developmental Biology, Stanford University, Stanford, California, United States of America
- Department of Genetics, Stanford University, Stanford, California, United States of America
| | - Peter Vollenweider
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, Department of Clinical Physiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Andres Metspalu
- Estonian Genome Center of University of Tartu (EGCUT), Tartu, Estonia
- Estonian Biocenter and Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Colin Palmer
- Biomedical Research Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, United Kingdom
| | - Paolo Gasparini
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo,” University of Trieste, Trieste, Italy
| | - Mario Pirastu
- Institute of Population Genetics – CNR, Sassari, Italy
| | - J. Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Interuniversity Cardiology Institute of the Netherlands (ICIN), Utrecht, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
| | - Nicole M. Probst-Hensch
- Unit of Chronic Disease Epidemiology, Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Vilmundur Gudnason
- Icelandic Heart Association, Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Alan R. Shuldiner
- Department of Medicine, University of Maryland Medical School, Baltimore, Maryland, United States of America
- Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, Baltimore, Maryland, United States of America
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland, United States of America
| | - Reinhold Schmidt
- Austrian Stroke Prevention Study, University Clinic of Neurology, Department of Special Neurology, Medical University Graz, Graz, Austria
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute of Aging, Baltimore, Maryland, United States of America
| | | | - Cornelia M. van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ingrid Borecki
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Gary C. Curhan
- Brigham and Women's Hospital and Channing Laboratory, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Igor Rudan
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Ulf Gyllensten
- Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - James F. Wilson
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
| | - Peter P. Pramstaller
- Institute of Genetic Medicine, European Academy of Bozen/Bolzano (EURAC) and Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Rainer Rettig
- Institute of Physiology, University of Greifswald, Greifswald, Germany
| | - Inga Prokopenko
- Wellcome Trust Centre for Human Genetics and Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, United Kingdom
| | | | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Paul Ridker
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Afshin Parsa
- Division of Nephrology, University of Maryland Medical School, Baltimore, Maryland, United States of America
| | - Murielle Bochud
- University Institute of Social and Preventive Medicine, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Epalinges, Switzerland
| | - Iris M. Heid
- Department of Epidemiology and Preventive Medicine, University Hospital Regensburg, Regensburg, Germany
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Wolfram Goessling
- Divisions of Genetics and Gastroenterology, Department of Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
- Harvard Stem Cell Institute, Harvard University, Cambridge, Massachusetts, United States of America
| | - Daniel I. Chasman
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - W. H. Linda Kao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland, United States of America
| | - Caroline S. Fox
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
- Division of Endocrinology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
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Wassel CL, Lamina C, Nambi V, Coassin S, Mukamal KJ, Ganesh SK, Jacobs DR, Franceschini N, Papanicolaou GJ, Gibson Q, Yanek LR, van der Harst P, Ferguson JF, Crawford DC, Waite LL, Allison MA, Criqui MH, McDermott MM, Mehra R, Cupples LA, Hwang SJ, Redline S, Kaplan RC, Heiss G, Rotter JI, Boerwinkle E, Taylor HA, Eraso LH, Haun M, Li M, Meisinger C, O'Connell JR, Shuldiner AR, Tybjærg-Hansen A, Frikke-Schmidt R, Kollerits B, Rantner B, Dieplinger B, Stadler M, Mueller T, Haltmayer M, Klein-Weigel P, Summerer M, Wichmann HE, Asselbergs FW, Navis G, Mateo Leach I, Brown-Gentry K, Goodloe R, Assimes TL, Becker DM, Cooke JP, Absher DM, Olin JW, Mitchell BD, Reilly MP, Mohler ER, North KE, Reiner AP, Kronenberg F, Murabito JM. Genetic determinants of the ankle-brachial index: a meta-analysis of a cardiovascular candidate gene 50K SNP panel in the candidate gene association resource (CARe) consortium. Atherosclerosis 2012; 222:138-47. [PMID: 22361517 DOI: 10.1016/j.atherosclerosis.2012.01.039] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2011] [Revised: 01/23/2012] [Accepted: 01/26/2012] [Indexed: 01/05/2023]
Abstract
BACKGROUND Candidate gene association studies for peripheral artery disease (PAD), including subclinical disease assessed with the ankle-brachial index (ABI), have been limited by the modest number of genes examined. We conducted a two stage meta-analysis of ∼50,000 SNPs across ∼2100 candidate genes to identify genetic variants for ABI. METHODS AND RESULTS We studied subjects of European ancestry from 8 studies (n=21,547, 55% women, mean age 44-73 years) and African American ancestry from 5 studies (n=7267, 60% women, mean age 41-73 years) involved in the candidate gene association resource (CARe) consortium. In each ethnic group, additive genetic models were used (with each additional copy of the minor allele corresponding to the given beta) to test each SNP for association with continuous ABI (excluding ABI>1.40) and PAD (defined as ABI<0.90) using linear or logistic regression with adjustment for known PAD risk factors and population stratification. We then conducted a fixed-effects inverse-variance weighted meta-analyses considering a p<2×10(-6) to denote statistical significance. RESULTS In the European ancestry discovery meta-analyses, rs2171209 in SYTL3 (β=-0.007, p=6.02×10(-7)) and rs290481 in TCF7L2 (β=-0.008, p=7.01×10(-7)) were significantly associated with ABI. None of the SNP associations for PAD were significant, though a SNP in CYP2B6 (p=4.99×10(-5)) was among the strongest associations. These 3 genes are linked to key PAD risk factors (lipoprotein(a), type 2 diabetes, and smoking behavior, respectively). We sought replication in 6 population-based and 3 clinical samples (n=15,440) for rs290481 and rs2171209. However, in the replication stage (rs2171209, p=0.75; rs290481, p=0.19) and in the combined discovery and replication analysis the SNP-ABI associations were no longer significant (rs2171209, p=1.14×10(-3); rs290481, p=8.88×10(-5)). In African Americans, none of the SNP associations for ABI or PAD achieved an experiment-wide level of significance. CONCLUSIONS Genetic determinants of ABI and PAD remain elusive. Follow-up of these preliminary findings may uncover important biology given the known gene-risk factor associations. New and more powerful approaches to PAD gene discovery are warranted.
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Affiliation(s)
- Christina L Wassel
- University of California San Diego, Department of Family and Preventive Medicine, Division of Preventive Medicine, La Jolla, CA, USA
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Murabito JM, White CC, Kavousi M, Sun YV, Feitosa MF, Nambi V, Lamina C, Schillert A, Coassin S, Bis JC, Broer L, Crawford DC, Franceschini N, Frikke-Schmidt R, Haun M, Holewijn S, Huffman JE, Hwang SJ, Kiechl S, Kollerits B, Montasser ME, Nolte IM, Rudock ME, Senft A, Teumer A, van der Harst P, Vitart V, Waite LL, Wood AR, Wassel CL, Absher DM, Allison MA, Amin N, Arnold A, Asselbergs FW, Aulchenko Y, Bandinelli S, Barbalic M, Boban M, Brown-Gentry K, Couper DJ, Criqui MH, Dehghan A, den Heijer M, Dieplinger B, Ding J, Dörr M, Espinola-Klein C, Felix SB, Ferrucci L, Folsom AR, Fraedrich G, Gibson Q, Goodloe R, Gunjaca G, Haltmayer M, Heiss G, Hofman A, Kieback A, Kiemeney LA, Kolcic I, Kullo IJ, Kritchevsky SB, Lackner KJ, Li X, Lieb W, Lohman K, Meisinger C, Melzer D, Mohler ER, Mudnic I, Mueller T, Navis G, Oberhollenzer F, Olin JW, O'Connell J, O'Donnell CJ, Palmas W, Penninx BW, Petersmann A, Polasek O, Psaty BM, Rantner B, Rice K, Rivadeneira F, Rotter JI, Seldenrijk A, Stadler M, Summerer M, Tanaka T, Tybjaerg-Hansen A, Uitterlinden AG, van Gilst WH, Vermeulen SH, Wild SH, Wild PS, Willeit J, Zeller T, Zemunik T, Zgaga L, Assimes TL, Blankenberg S, Boerwinkle E, Campbell H, Cooke JP, de Graaf J, Herrington D, Kardia SLR, Mitchell BD, Murray A, Münzel T, Newman AB, Oostra BA, Rudan I, Shuldiner AR, Snieder H, van Duijn CM, Völker U, Wright AF, Wichmann HE, Wilson JF, Witteman JCM, Liu Y, Hayward C, Borecki IB, Ziegler A, North KE, Cupples LA, Kronenberg F. Association between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies. Circ Cardiovasc Genet 2012; 5:100-12. [PMID: 22199011 PMCID: PMC3303225 DOI: 10.1161/circgenetics.111.961292] [Citation(s) in RCA: 90] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based cohorts. METHODS AND RESULTS Continuous ABI and PAD (ABI ≤0.9) phenotypes adjusted for age and sex were examined. Each study conducted genotyping and imputed data to the ≈2.5 million single nucleotide polymorphisms (SNPs) in HapMap. Linear and logistic regression models were used to test each SNP for association with ABI and PAD using additive genetic models. Study-specific data were combined using fixed effects inverse variance weighted meta-analyses. There were a total of 41 692 participants of European ancestry (≈60% women, mean ABI 1.02 to 1.19), including 3409 participants with PAD and with genome-wide association study data available. In the discovery meta-analysis, rs10757269 on chromosome 9 near CDKN2B had the strongest association with ABI (β=-0.006, P=2.46×10(-8)). We sought replication of the 6 strongest SNP associations in 5 population-based studies and 3 clinical samples (n=16 717). The association for rs10757269 strengthened in the combined discovery and replication analysis (P=2.65×10(-9)). No other SNP associations for ABI or PAD achieved genome-wide significance. However, 2 previously reported candidate genes for PAD and 1 SNP associated with coronary artery disease were associated with ABI: DAB21P (rs13290547, P=3.6×10(-5)), CYBA (rs3794624, P=6.3×10(-5)), and rs1122608 (LDLR, P=0.0026). CONCLUSIONS Genome-wide association studies in more than 40 000 individuals identified 1 genome wide significant association on chromosome 9p21 with ABI. Two candidate genes for PAD and 1 SNP for coronary artery disease are associated with ABI.
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Affiliation(s)
- Joanne M Murabito
- Framingham Heart Study, 73 Mount Wayte Avenue, Framingham, MA 01701, USA.
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Böger CA, Gorski M, Li M, Hoffmann MM, Huang C, Yang Q, Teumer A, Krane V, O'Seaghdha CM, Kutalik Z, Wichmann HE, Haak T, Boes E, Coassin S, Coresh J, Kollerits B, Haun M, Paulweber B, Köttgen A, Li G, Shlipak MG, Powe N, Hwang SJ, Dehghan A, Rivadeneira F, Uitterlinden A, Hofman A, Beckmann JS, Krämer BK, Witteman J, Bochud M, Siscovick D, Rettig R, Kronenberg F, Wanner C, Thadhani RI, Heid IM, Fox CS, Kao WH. Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD. PLoS Genet 2011; 7:e1002292. [PMID: 21980298 PMCID: PMC3183079 DOI: 10.1371/journal.pgen.1002292] [Citation(s) in RCA: 150] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2011] [Accepted: 07/22/2011] [Indexed: 01/23/2023] Open
Abstract
Family studies suggest a genetic component to the etiology of chronic kidney disease (CKD) and end stage renal disease (ESRD). Previously, we identified 16 loci for eGFR in genome-wide association studies, but the associations of these single nucleotide polymorphisms (SNPs) for incident CKD or ESRD are unknown. We thus investigated the association of these loci with incident CKD in 26,308 individuals of European ancestry free of CKD at baseline drawn from eight population-based cohorts followed for a median of 7.2 years (including 2,122 incident CKD cases defined as eGFR <60ml/min/1.73m2 at follow-up) and with ESRD in four case-control studies in subjects of European ancestry (3,775 cases, 4,577 controls). SNPs at 11 of the 16 loci (UMOD, PRKAG2, ANXA9, DAB2, SHROOM3, DACH1, STC1, SLC34A1, ALMS1/NAT8, UBE2Q2, and GCKR) were associated with incident CKD; p-values ranged from p = 4.1e-9 in UMOD to p = 0.03 in GCKR. After adjusting for baseline eGFR, six of these loci remained significantly associated with incident CKD (UMOD, PRKAG2, ANXA9, DAB2, DACH1, and STC1). SNPs in UMOD (OR = 0.92, p = 0.04) and GCKR (OR = 0.93, p = 0.03) were nominally associated with ESRD. In summary, the majority of eGFR-related loci are either associated or show a strong trend towards association with incident CKD, but have modest associations with ESRD in individuals of European descent. Additional work is required to characterize the association of genetic determinants of CKD and ESRD at different stages of disease progression. Chronic kidney disease (CKD) affects about 6%–11% of the general population, and progression to end stage renal disease (ESRD) has a significant public health impact. Family studies suggest that the risk for CKD and ESRD is heritable. Unraveling the genetic underpinning of risk for these diseases may lead to the identification of novel mechanisms and thus diagnostic and therapeutic tools. We have previously identified 16 genetic markers in association with kidney function and prevalent CKD in general population studies. However, little is known about the relevance of these SNPs to the initial development of CKD or to ESRD risk. Therefore, we have now analyzed the association of these markers with the initiation of CKD in more than 26,000 individuals from the general population using serial estimations of kidney function, and with ESRD in four case-control studies in subjects of European ancestry (3,775 cases, 4,577 controls). We show that many of the 16 markers are also associated or show a strong trend towards association with initiation of CKD, while only 2 markers are nominally associated with ESRD. Further work is required to characterize the association of genetic determinants of different stages of CKD progression.
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Affiliation(s)
- Carsten A. Böger
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| | - Mathias Gorski
- Department of Epidemiology and Preventive Medicine, University Hospital Regensburg, Regensburg, Germany
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Man Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Michael M. Hoffmann
- Clinical Chemistry, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany
| | - Chunmei Huang
- Division of Nephrology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Vera Krane
- University of Würzburg, Department of Medicine 1, Division of Nephrology, University Hospital Würzburg, Würzburg, Germany
| | - Conall M. O'Seaghdha
- Division of Nephrology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- NHLBI's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
| | - Zoltán Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - H.-Erich Wichmann
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry, and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
- Klinikum Großhadern, Munich, Germany
| | - Thomas Haak
- Diabetes Klinik Bad Mergentheim, Bad Mergentheim, Germany
| | - Eva Boes
- Innsbruck Medical University, Division of Genetic Epidemiology, Innsbruck, Austria
| | - Stefan Coassin
- Innsbruck Medical University, Division of Genetic Epidemiology, Innsbruck, Austria
| | - Josef Coresh
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Barbara Kollerits
- Innsbruck Medical University, Division of Genetic Epidemiology, Innsbruck, Austria
| | - Margot Haun
- Innsbruck Medical University, Division of Genetic Epidemiology, Innsbruck, Austria
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Renal Division, University Hospital of Freiburg, Freiburg, Germany
| | - Guo Li
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Michael G. Shlipak
- Division of General Internal Medicine, San Francisco VA Medical Center, San Francisco, California, United States of America
- Department of Medicine, Epidemiology, and Biostatistics, University of California San Francisco, San Francisco, California, United States of America
| | - Neil Powe
- Department of Medicine, San Francisco General Hospital and University of California San Francisco, San Francisco, California, United States of America
| | - Shih-Jen Hwang
- NHLBI's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Member of Netherlands Consortium for Healthy Aging (NCHA), Netherlands Genomics Initiative (NGI), Leiden, The Netherlands
| | - Fernando Rivadeneira
- Member of Netherlands Consortium for Healthy Aging (NCHA), Netherlands Genomics Initiative (NGI), Leiden, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - André Uitterlinden
- Member of Netherlands Consortium for Healthy Aging (NCHA), Netherlands Genomics Initiative (NGI), Leiden, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Member of Netherlands Consortium for Healthy Aging (NCHA), Netherlands Genomics Initiative (NGI), Leiden, The Netherlands
| | - Jacques S. Beckmann
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
| | - Bernhard K. Krämer
- University Medical Centre Mannheim, 5th Department of Medicine, Mannheim, Germany
| | - Jacqueline Witteman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Member of Netherlands Consortium for Healthy Aging (NCHA), Netherlands Genomics Initiative (NGI), Leiden, The Netherlands
| | - Murielle Bochud
- University Institute of Social and Preventive Medicine, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - David Siscovick
- Cardiovascular Health Research Unit, Departments of Epidemiology and Medicine, University of Washington, Seattle, Washington, United States of America
| | - Rainer Rettig
- Institute of Physiology, University of Greifswald, Greifswald, Germany
| | - Florian Kronenberg
- Innsbruck Medical University, Division of Genetic Epidemiology, Innsbruck, Austria
| | - Christoph Wanner
- University of Würzburg, Department of Medicine 1, Division of Nephrology, University Hospital Würzburg, Würzburg, Germany
| | - Ravi I. Thadhani
- Division of Nephrology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Iris M. Heid
- Department of Epidemiology and Preventive Medicine, University Hospital Regensburg, Regensburg, Germany
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Caroline S. Fox
- NHLBI's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
- Division of Endocrinology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail: (CSF); (WHK)
| | - W. H. Kao
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- * E-mail: (CSF); (WHK)
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Coassin S, Schweiger M, Kloss-Brandstätter A, Lamina C, Haun M, Erhart G, Paulweber B, Rahman Y, Olpin S, Wolinski H, Cornaciu I, Zechner R, Zimmermann R, Kronenberg F. Investigation and functional characterization of rare genetic variants in the adipose triglyceride lipase in a large healthy working population. PLoS Genet 2010; 6:e1001239. [PMID: 21170305 PMCID: PMC3000363 DOI: 10.1371/journal.pgen.1001239] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2010] [Accepted: 11/04/2010] [Indexed: 12/14/2022] Open
Abstract
Recent studies demonstrated a strong influence of rare genetic variants on several lipid-related traits. However, their impact on free fatty acid (FFA) plasma concentrations, as well as the role of rare variants in a general population, has not yet been thoroughly addressed. The adipose triglyceride lipase (ATGL) is encoded by the PNPLA2 gene and catalyzes the rate-limiting step of lipolysis. It represents a prominent candidate gene affecting FFA concentrations. We therefore screened the full genomic region of ATGL for mutations in 1,473 randomly selected individuals from the SAPHIR (Salzburg Atherosclerosis Prevention program in subjects at High Individual Risk) Study using a combined Ecotilling and sequencing approach and functionally investigated all detected protein variants by in-vitro studies. We observed 55 novel mostly rare genetic variants in this general population sample. Biochemical evaluation of all non-synonymous variants demonstrated the presence of several mutated but mostly still functional ATGL alleles with largely varying residual lipolytic activity. About one-quarter (3 out of 13) of the investigated variants presented a marked decrease or total loss of catalytic function. Genetic association studies using both continuous and dichotomous approaches showed a shift towards lower plasma FFA concentrations for rare variant carriers and an accumulation of variants in the lower 10%-quantile of the FFA distribution. However, the generally rather small effects suggest either only a secondary role of rare ATGL variants on the FFA levels in the SAPHIR population or a recessive action of ATGL variants. In contrast to these rather small effects, we describe here also the first patient with “neutral lipid storage disease with myopathy” (NLSDM) with a point mutation in the catalytic dyad, but otherwise intact protein. The nature of the genetic variation underlying common traits is not yet completely understood. Recently, there has been a shift in the genetic research focus towards the elucidation of the influence of rare variants, which are thought to exert a strong impact on common traits. Circulating free fatty acids are immediate products of the triglyceride breakdown and represent a yet poorly addressed phenotype to study the impact of rare variants on lipolysis. Since ATGL (encoded by the PNPLA2 gene) controls the rate limiting step of lipolysis, we screened its whole gene region in 1,473 healthy individuals and found that 1 out of 13 individuals indeed carried at least one rare mutation. Biochemical investigations showed that, even in a healthy population, several missense variants lead to an impaired catalytic activity and 1 variant even produced a completely inactive protein. However, subsequent association studies revealed only small effects on the free fatty acids levels in the population. This suggests an only secondary role of rare ATGL variants on free fatty acids levels. More generally, we conclude that even in a healthy population pronounced allelic heterogeneity due to the presence of several rare variants may be common.
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Affiliation(s)
- Stefan Coassin
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Martina Schweiger
- Institute of Molecular Biosciences, University of Graz, Graz, Austria
| | - Anita Kloss-Brandstätter
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Claudia Lamina
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Gertraud Erhart
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Private Medical University Salzburg, Salzburg, Austria
| | - Yusof Rahman
- Department of Inherited Metabolic Diseases, Evelina Children Hospital, Guys and St. Thomas's National Health Service Foundation Trust, London, United Kingdom
| | - Simon Olpin
- Department of Clinical Chemistry, Sheffield Children's Hospital, Sheffield, United Kingdom
| | - Heimo Wolinski
- Institute of Molecular Biosciences, University of Graz, Graz, Austria
| | - Irina Cornaciu
- Structural Biology Group, Institute of Molecular Biosciences, University of Graz, Graz, Austria
| | - Rudolf Zechner
- Institute of Molecular Biosciences, University of Graz, Graz, Austria
| | - Robert Zimmermann
- Institute of Molecular Biosciences, University of Graz, Graz, Austria
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
- * E-mail:
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Kircher B, Schumacher P, Petzer A, Hoflehner E, Haun M, Wolf AM, Nachbaur D, Gastl G. Anti-leukemic activity of valproic acid and imatinib mesylate on human Ph+ ALL and CML cells in vitro. Eur J Haematol 2009; 83:48-56. [PMID: 19226363 DOI: 10.1111/j.1600-0609.2009.01242.x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
The armamentarium of anti-leukemic drugs has increased substantially since anti-leukemic activities were recently found for a variety of non-classical cytostatic drugs, among them the histone deacetylase (HDAC) inhibitor valproic acid (VPA). This study investigated the effect of VPA on proliferation and apoptosis of human Philadelphia chromosome-positive (Ph+) acute lymphatic (ALL) and chronic myeloid leukemia (CML) cells and on colony formation of human chronic-phase CML progenitor cells. Strong anti-proliferative and pro-apoptotic effects of VPA were observed on human ALL and CML cell lines at concentrations achievable in vivo. These effects were most pronounced in ALL cell lines as well as in primary ALL cells. Notably, VPA revealed enhanced activity with imatinib mesylate, nilotinib, the farnesyl transferase inhibitor SCH66336, interferon-alpha and cytosine arabinoside. VPA inhibited the growth of colony-forming cells from 12 Ph+ chronic-phase CML patients but also of those from normal healthy controls in a dose-dependent fashion. HDAC-inhibiting activity of VPA was confirmed on ALL and CML cells. In conclusion, VPA, whether alone or in combination with other non-classical anti-leukemic compounds, exerts significant anti-leukemic effects on human ALL and CML cells.
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Affiliation(s)
- Brigitte Kircher
- Department of Internal Medicine V - Hematology and Oncology, Immunobiology and Stem Cell Laboratory, Innsbruck Medical University, Innsbruck, Austria.
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Abstract
Given the importance of protein phosphorylation in the context of cellular functions, abnormal protein phosphatase activity has been implicated in several diseases, including cancer. These critical roles of protein phosphatases qualify them as potential targets for the development of medicinal compounds that possess distinct modes of action such as violacein. In this work, studies with this natural indolic pigment at a concentration of 10.0 micromol L(-1) demonstrated a 20% activation of total protein phosphatase extracted from human lymphocytes. Although no alteration was observed on protein tyrosine phosphatase (CD45), 30% of inhibition was achieved in cytoplasmatic protein phosphatase activity after incubation with 10.0 micromol L(-1) violacein. Additionally, 5.0 micromol L(-1) of violacein inhibited by 50% the serum tartrate-resistant acid phosphatase activity. Violacein presented toxic effect on lymphocytes with IC50 values of 3 and 10 micromol L(-1) for protein content and protein phosphatase activity, respectively. These findings suggest an important role for protein phosphatases in the mechanisms controlling proliferation and cell death.
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Affiliation(s)
- N Bromberg
- Biological Chemistry Laboratory, Instituto de Química, Universidade Estadual de Campinas (UNICAMP), C.P.6154, CEP 13083-970, Campinas- S.P., Brazil
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Spizzo G, Gastl G, Obrist P, Fong D, Haun M, Grünewald K, Parson W, Eichmann C, Millinger S, Fiegl H, Margreiter R, Amberger A. Methylation status of the Ep-CAM promoter region in human breast cancer cell lines and breast cancer tissue. Cancer Lett 2006; 246:253-61. [PMID: 16624485 DOI: 10.1016/j.canlet.2006.03.002] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2005] [Revised: 02/14/2006] [Accepted: 03/01/2006] [Indexed: 12/21/2022]
Abstract
We examined the methylation status of the Ep-CAM promoter region of human breast cancer cell lines and breast cancer tissue using MethyLight technology and bisulfite sequencing. We found the promoter of Ep-CAM-negative breast cancer cell lines Hs 578T to be methylated to a higher degree as compared to positive cell lines MCF-7. Demethylation of cell lines was performed using 5-aza-2'-deoxycytidine. Ep-CAM RNA and protein expression could be partially restored by treating cells with 5-Aza-2'-deoxycytidine. In most primary breast cancer tissue, methylation of the Ep-CAM gene could be detected at a low level and no correlation was found with Ep-CAM protein expression in tumour tissue. Taken together, these data suggest that methylation of the Ep-CAM promoter is not a crucial mechanism for regulation of Ep-CAM expression in breast cancer. Thus, most important regulatory mechanisms have to be supposed in vivo.
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Affiliation(s)
- Gilbert Spizzo
- Division of Haematology and Oncology, Innsbruck Medical University, Innsbruck, Austria.
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Souza NJA, Justo GZ, Oliveira CR, Haun M, Bincoletto C. Cytotoxicity of materials used in perforation repair tested using the V79 fibroblast cell line and the granulocyte-macrophage progenitor cells. Int Endod J 2006; 39:40-7. [PMID: 16409327 DOI: 10.1111/j.1365-2591.2005.01045.x] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
AIM To compare the cytotoxicity of materials used to repair perforations using permanent V79 fibroblasts and murine granulocyte-macrophage progenitor cells (CFU-GM). METHODOLOGY Set specimens from amalgam, glass-ionomer, SuperEBA, N-Rickert, MTA and gutta-percha were eluted with culture medium for 72 h and their cytotoxicities were assessed by incubating the extracts with V79 and bone marrow-derived progenitors for 24 h and 7 days, respectively. Cytotoxicity on V79 cells was judged using the total nucleic acid content (NAC), neutral red uptake (NRU) and reduction of the tetrazolium salt (MTT). The number of bone marrow CFU-GM colonies determined in clonal cultures stimulated with recombinant murine granulocyte-macrophage colony-stimulating factor was used to assess cytotoxicity to progenitor cells. Statistical analyses were conducted using the one-way analysis of variance and Tukey's test where appropriate. RESULTS All materials were cytotoxic in both cell systems; however, CFU-GM was more sensitive to the extracts than V79 cells. A similar rank order of toxicity was observed in V79 cells using the NAC and the MTT assays: glass-ionomer > N-Rickert congruent with SuperEBA > gutta-percha > amalgam congruent with MTA (P < 0.05). In contrast, the NRU test exhibited a lower sensitivity to MTA, gutta-percha and amalgam extracts. In the clonal culture assay, the toxicity was less pronounced in the presence of gutta-percha, SuperEBA and MTA. Similar cellular responses were found by placing the set specimens directly in the clonal culture dishes. CONCLUSIONS The sensitivity of toxicity depended on the choice of the endpoint and the cell-culture system. Nevertheless, MTA was ranked as the least cytotoxic cement in both cell systems.
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Affiliation(s)
- N J A Souza
- Centro Interdisciplinar de Investigação Bioquímica, Universidade de Mogi das Cruzes (UMC), Mogi das Cruzes, Brazil
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Fiegl M, Massoner A, Haun M, Sturm W, Kaufmann H, Hack R, Krugmann J, Fritzer-Szekeres M, Grünewald K, Gastl G. Sensitive detection of tumour cells in effusions by combining cytology and fluorescence in situ hybridisation (FISH). Br J Cancer 2004; 91:558-63. [PMID: 15226776 PMCID: PMC2409837 DOI: 10.1038/sj.bjc.6601942] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Diagnosis of malignant cells in effusions is important for staging procedures and resulting therapeutic decisions. Cytodiagnostics in effusions is sometimes difficult since reactive mesothelial cells can mimic malignant cells. We used fluorescence in situ hybridisation (FISH) in single-colour or if appropriate in dual-colour evaluation to detect chromosomal aberrations in effusion cells as markers of malignancy, to raise the diagnostic yield. Cytologic and FISH evaluations – by using probes representing several chromosomes always including chromosomes 11 and 17 – were performed in 358 effusion fluids. Cytology was positive for malignancy in 44.4% of all effusions, whereas FISH was positive in 53.9% (P=0.0001). The combination of cytology and FISH was diagnostic for malignancy in 60.9% of effusions. Diagnostic superiority of FISH was demonstrated in effusions from breast cancer, lung cancer, pancreatic cancer, and in effusions from the entire group of gynaecological and gastrointestinal carcinomas. In transudates (effusion protein <2.5 g dl−1), malignant cells were detectable by cytology, FISH, and combined use of both methods in 18.6, 30, and 37.1% of effusions, respectively, suggesting that cytologic and molecular analysis should be performed also with transudates. In conclusion, FISH in combination with conventional cytology is a highly sensitive and specific diagnostic tool for detecting malignant cells in effusions.
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Affiliation(s)
- M Fiegl
- Division of Haematology and Oncology, Department of Internal Medicine, Medical University of Innsbruck, Innsbruck, Austria.
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Menzel HJ, Sarmanova J, Soucek P, Berberich R, Grünewald K, Haun M, Kraft HG. Association of NQO1 polymorphism with spontaneous breast cancer in two independent populations. Br J Cancer 2004; 90:1989-94. [PMID: 15138483 PMCID: PMC2410282 DOI: 10.1038/sj.bjc.6601779] [Citation(s) in RCA: 68] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Eight different single-nucleotide polymorphisms (SNPs) in six different genes were investigated for possible association with breast cancer. We used a case–control study design in two Caucasian populations, one from Tyrol, Austria, and the other from Prague, Czech Republic. Two SNPs showed an association with breast cancer: R72P inTP53 and P187S in NQO1. Six SNPs, Q356R and P871L in BRCA1, N372H in BRCA2, C112R (E4) and R158C (E2) in ApoE and C825T in GNB3, did not show any sign of association. The P187S polymorphism in NQO1 was associated with breast cancer in both populations from Tyrol and Prague with a higher risk for carriers of the 187S allele. Combining the results of the two populations, we observed a highly significant difference (P=0.0004) of genotype and allele frequencies (odds ratio (OR)=1.46; 95% confidence interval (CI) 1.16–1.85; P=0.001) and of the homozygote ratio (OR=3.8; 95% CI 1.73–8.34; P=0.0001). Combining the two ‘candidate’ SNPs (P187S and R72P) revealed an increased risk for breast cancer of double heterozygotes (P187S/R72P) of the NQO1 and TP53 genes (OR=1.88; 95% CI 1.13–3.15; P=0.011), suggesting a possible interaction of these two loci.
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Affiliation(s)
- H-J Menzel
- Inst. f. med. Biology and Human Genetics, University Innsbruck, Schopfstrasse 41, A-6020 Innsbruck, Austria.
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Fiegl M, Haun M, Massoner A, Krugmann J, Müller-Holzner E, Hack R, Hilbe W, Marth C, Duba HC, Gastl G, Grünewald K. Combination of cytology, fluorescence in situ hybridization for aneuploidy, and reverse-transcriptase polymerase chain reaction for human mammaglobin/mammaglobin B expression improves diagnosis of malignant effusions. J Clin Oncol 2004; 22:474-83. [PMID: 14752070 DOI: 10.1200/jco.2004.06.063] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE The identification of malignant cells in effusions by conventional cytology is hampered by its limited sensitivity. The aim of this study was to improve tumor cell detection in effusions by molecular approaches. MATERIALS AND METHODS A total of 157 effusions from patients with tumors and 72 effusions from patients without a history or evidence of malignancy were included in this study. All effusion specimens were evaluated in parallel by cytology, fluorescence in situ hybridization (FISH) for aneuploidy, and reverse-transcriptase polymerase chain reaction (RT-PCR) for expression of human mammaglobin (hMAM) and mammaglobin B (hMAM-B). RESULTS In effusions from patients with tumors, the sensitivities of tumor cell detection by cytology, FISH, and hMAM and hMAM-B detection were 46.2%, 53.3%, 36.4%, and 57.7%, respectively. The corresponding specificities were 94.4%, 97.0%, 87.1%, and 88.6%. Notably, a high percentage of effusions containing malignant cells were in fact transudates, indicating the necessity for molecular diagnostic work-up of transudates collected from patients with tumors. Dependent on the tumor type, the use of appropriate marker combinations improved tumor cell detection in effusions significantly. By combining all four diagnostic tests, a positive test result indicating the presence of malignancy was achieved in 81.1%, with a fairly good specificity of 70.1%. CONCLUSION Molecular techniques are definitely useful to detect malignancy in cytologically negative effusions. Tumor cell detection in effusions can be significantly improved by FISH and PCR techniques applying appropriate molecular markers. This finding should help to improve tumor staging, prognostic assessment, and treatment monitoring.
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Affiliation(s)
- Michael Fiegl
- Department of Internal Medicine, Division of Hematology and Oncology, Innsbruck University Hospital, Anichstrasse 35, A-6020 Innsbruck, Austria.
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41
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Grünewald K, Haun M, Fiegl M, Gastl G, Marth C, Frede T. Blood dissemination of mammaglobin-specific RNA during core needle biopsy in patients with invasive breast carcinoma. Breast J 2004; 10:61-2. [PMID: 14717765 DOI: 10.1111/j.1524-4741.2004.09627.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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42
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Nachbaur D, Larcher C, Kircher B, Eibl G, Nussbaumer W, Gunsilius E, Haun M, Grünewald K, Gastl G. Risk for cytomegalovirus infection following reduced intensity allogeneic stem cell transplantation. Ann Hematol 2003; 82:621-7. [PMID: 12920570 DOI: 10.1007/s00277-003-0706-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2003] [Accepted: 04/06/2003] [Indexed: 11/25/2022]
Abstract
Preliminary data suggest a faster immune recovery following non-myeloablative stem cell transplantation because of the persistence of recipient T cells, but the real impact on post-transplant infectious complications remains unknown. We retrospectively analysed the incidence of cytomegalovirus (CMV) infection in twenty patients following reduced intensity conditioning with busulfan/fludarabine+/-thiotepa and post-transplant immunosuppression with cyclosporine A/mycophenolate mofetil. Results were compared with 20 patients receiving myeloablative transplants during the same time period and who were matched for CMV risk group and for donor origin. The cumulative incidence of CMV infection following reduced intensity vs. myeloablative transplants was 60.4% vs. 40.0%, respectively (p value 0.1, log rank test). The risk for CMV infection in both cohorts was increased after in vivo T cell depletion with antithymocyte globulin (75% and 60%, respectively). Acute GVHD preceded the diagnosis of CMV infection by a median of 25 (range, 9-61) days following reduced intensity transplants and a median of 14 (range, 10-34) days in myeloablative transplants. Recurrent CMV infections were observed only in patients receiving reduced intensity transplants. Using multivariate analysis only reduced intensity transplantation and in vivo T cell depletion had a significant impact on the risk of CMV infection. In our series the incidence for CMV infection following reduced intensity transplants seems to be increased as compared with risk-matched myeloablative transplants. When adding anti-T cell antibodies to the conditioning regimen, the risk for CMV infection increases by up to 75%. Thorough studies of the risk of post-transplant viral infection are necessary to optimize surveillance as well as pre-emptive and/or prophylactic treatment strategies in the non-myeloablative transplantation setting.
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Affiliation(s)
- David Nachbaur
- Division of Hematology & Oncology, BMT Unit, Department of Internal Medicine, Innsbruck University Hospital, Anichstrasse 35, 6020 Innsbruck, Austria.
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Nachbaur D, Kircher B, Eisendle K, Lätzer K, Haun M, Gastl G. Phenotype, function and chimaerism of monocyte-derived blood dendritic cells after allogeneic haematopoietic stem cell transplantation. Br J Haematol 2003; 123:119-26. [PMID: 14510953 DOI: 10.1046/j.1365-2141.2003.04588.x] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Dendritic cells (DCs) are essential for initiating T-cell responses against either host- or leukaemia-specific antigens. We analysed phenotype, allostimulatory capacity and chimaerism of monocyte-derived DCs (moDCs) serially in 28 patients receiving allogeneic stem cell grafts after conventional myeloablative (n = 14) or reduced-intensity conditioning (RIC, n = 14). Although the recovery of phenotype and function of moDCs after myeloablative stem cell transplantation (SCT) was prompt, there was a trend to a lower expression of co-stimulatory molecules and major histocompatibility antigen class II antigens on mature moDCs in patients who had received RIC transplants. Similarly, the allostimulatory capacity of mature moDCs after RIC transplants was reduced for up to 6 months. Six out of 14 (43%) RIC transplant patients showed a pattern of mixed chimaerism within the first 3 months after transplant. RIC transplant patients with a mixed donor DC chimaerism had a significantly higher risk of relapse (75% versus 35% for patients with full donor DC chimaerism, P = 0.03) but a lower incidence of acute graft-versus-host disease (25% versus 56% for patients with full donor DC chimaerism, P = 0.157). These data, although preliminary, provide evidence that DC function is impaired after RIC transplants and that DC chimaerism may have an impact on graft-versus-host and graft-versus-leukaemia reactions.
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Affiliation(s)
- David Nachbaur
- BMT Unit and Tumour- and Immunobiology Laboratory, Division of Haematology and Oncology, Innsbruck University Hospital, Innsbruck, Austria.
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Grünewald K, Haun M, Fiegl M, Urbanek M, Müller-Holzner E, Massoner A, Riha K, Propst A, Marth C, Gastl G. Mammaglobin expression in gynecologic malignancies and malignant effusions detected by nested reverse transcriptase-polymerase chain reaction. J Transl Med 2002; 82:1147-53. [PMID: 12218075 DOI: 10.1097/01.lab.0000027840.16064.8a] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
The detection of micrometastatic disease remains a challenge for the diagnosis and monitoring of malignant disease. RT-PCR for human mammaglobin (hMAM) was recently shown to provide a sensitive method for assessing circulating breast cancer cells in peripheral blood. This study was aimed at investigating hMAM expression in normal and malignant tissue from the female genital tract and the prostate as well as in malignant effusions derived from gynecologic malignancies. hMAM expression was analyzed with nested RT-PCR in 152 samples of normal (n = 73) and malignant epithelial tissues (n = 79) and in 33 specimens of various normal mesenchymal tissue types. We found hMAM expression was not restricted to the normal mammary gland and breast carcinoma but was also detectable in most specimens of benign and malignant epithelial tissue from the ovary (97% versus 95%), uterus (both 100%), and cervix (91% versus 90%). Notably, hMAM expression was also found in benign prostatic hyperplasia (45%) and in prostate cancer (55%). A much lower expression rate was found in various normal and benign mesenchymal tissues (12%). In keeping with our previous data, hMAM expression was absent in all control samples (n = 124) of peripheral blood and bone marrow from healthy volunteers and patients with hematologic malignancies. In pleural or peritoneal effusions (n = 42) from patients with carcinomas of the breast, endometrium, or ovary, hMAM positivity was noticed in the majority of cases (74%), whereas only 52% of the specimens were cytologically positive for tumor cells. In conclusion, hMAM expression assessed by nested RT-PCR is a sensitive molecular marker for detecting micrometastatic tumor spread into pleural effusions and ascites from patients with breast cancer and various other gynecologic neoplasms.
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Affiliation(s)
- Kurt Grünewald
- Department of Internal Medicine, University of Innsbruck, Innsbruck, Austria.
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Abstract
The authors investigated the effect of music on the state anxiety of a sample of 20 patients awaiting breast biopsy at a suburban medical facility. The patients were assigned alternately to either the control or experimental group. The individuals in the experimental group were given a 20-minute music-based intervention in a preoperative holding area, whereas the patients in the control group received the customary preoperative care. Clinicians measured blood pressure, heart rate, and respiration in both groups of patients, and the participants completed the State portion of the self-administered State-Trait Anxiety Inventory (STAI). After the patients completed the 20 minutes of music or of preoperative care without music, clinicians again measured the participants' vital signs and the patients completed the STAI. The authors' findings indicated that the posttest state anxiety and respiratory rates of the patients in the experimental group were significantly lower than those of the patients in the control group.
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Affiliation(s)
- M Haun
- Luther Correctional Facility, LaGrange, Kentucky, USA
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Melo PS, Durán N, Haun M. Derivatives of dehydrocrotonin, a diterpene lactone isolated from Croton cajucara: cytotoxicity in rat cultured hepatocytes and in V79 cells. Hum Exp Toxicol 2002; 21:281-8. [PMID: 12141400 DOI: 10.1191/0960327102ht246oa] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Derivatives of dehydrocrotonin (DHC; Compound I) with different anti-ulcerogenic properties but less toxicity were produced by reducing the cyclohexenone moiety of DHC with NaBH4 (Compound II), reducing the cyclohexenone and lactone moieties with LiAlH4 (Compound III) and transforming the lactone moiety into an amide (Compound IV) using dimethylamine. Derivatives of DHC were assayed in cultured hepatocytes and V79 fibroblasts. Three independent endpoints assays for cytotoxicity were used, namely, the DNA content, tetrazolium reduction (MTT) and neutral red uptake (NRU). Compound III was less toxic than the other DHC derivatives in both cell cultures. ICso values ranging from 250 to 600 microM were obtained for Compounds II and IV in the NRU and DNA content tests evaluated in 4-hour hepatocyte cultures. Although Compound II showed relatively low cytotoxicity in rat hepatocytes based on the NRU and DNA content assays, a very high toxicity (IC50=10 microM) was observed in the MTT test. Metabolites of Compound II in conditioned medium from 4-hour old hepatocyte cultures enhanced the MTT-reducing ability of V79 fibroblasts. The cytotoxicity of the derivatives was greater in recently isolated hepatocytes (only a 4-hour incubation for cell attachment prior to treating with the derivatives) than in hepatocytes previously cultured (24-hour incubation) before the treatment. Thus, aging reduced the cytotoxic effects of DHC derivatives in isolated hepatocytes, suggesting that P450-mediated biotransformation of such derivatives may lead to the formation of more toxic metabolites.
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Affiliation(s)
- P S Melo
- Departamento de Bioquímica, Instituto de Biologia, Universidade Estadual de Campinas, SP, Brazil.
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47
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Petzer AL, Hochenburger E, Haun M, Duba HC, Grünewald K, Hoflehner E, Sill H, Linkesch W, Gastl G, Gunsilius E. High-dose hydroxyurea plus G-CSF mobilize BCR-ABL-negative progenitor cells (CFC, LTC-IC) into the blood of newly diagnosed CML patients at any time of hematopoietic regeneration. J Hematother Stem Cell Res 2002; 11:293-300. [PMID: 11983100 DOI: 10.1089/152581602753658475] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The objective of this study was to analyze the mobilization kinetics of normal (BCR-ABL(neg)) and malignant (BCR-ABL(pos)) progenitor cells using a new, low toxic, out-patient-based mobilization regimen for Philadelphia chromosome-positive (Ph(pos)) chronic myelogenous leukemia (CML) patients. High doses of hydroxyurea (HD-HU, 3.5 g/m(2) per day, orally for 7 days) followed by granulocyte colony-stimulating factor (G-CSF) (10 microg/kg subcutaneously) were administered to 11 newly diagnosed CML patients. Each apheresis product (n = 30) was individually analyzed for the number and genotype of mature colony-forming cells (CFC) and primitive long-term culture initiating cells (LTC-IC), respectively, by reverse transcription polymerase chain reaction (RT-PCR) of individual colonies. Sufficient numbers of CD34(+) cells/kg bodyweight (BW) could easily be obtained in all patients (median, 15 x 10(6)/kg BW per patient) with a median number of three aphereses performed per patient (range 2-4). Almost each apheresis itself (25/30) contained > or =2 x 10(6) CD34(+) cells/kg BW. All patients with low and intermediate Sokal risk indices (9/11) mobilized primarily BCR-ABL(neg) LTC-IC (median 92%, range 47-100) and CFC (median 89%, range 57-100). Moreover, the mean percentage of BCR-ABL(neg) CFC and LTC-IC in the various apheresis products in these patients did not change throughout the entire time of hematopoietic regeneration. The toxicity of the mobilization procedure was low. Side effects were mild erythema in 8/11 and oral mucositis in 3/11 patients. Overall, the low toxicity of this regimen, together with the fact that sufficient BCR-ABL(neg) progenitors can be collected throughout the entire period of hematopoietic regeneration, renders this mobilization regimen particularly attractive for the collection of BCR-ABL(neg) progenitors in early chronic phase of Ph(pos) CML.
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MESH Headings
- Adult
- Blood Component Removal/standards
- Drug Therapy, Combination
- Female
- Fusion Proteins, bcr-abl/analysis
- Fusion Proteins, bcr-abl/genetics
- Granulocyte Colony-Stimulating Factor/administration & dosage
- Hematopoiesis
- Hematopoietic Stem Cell Mobilization/methods
- Humans
- Hydroxyurea/administration & dosage
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/pathology
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/therapy
- Male
- Middle Aged
- Pilot Projects
- Transplantation, Autologous/methods
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Affiliation(s)
- Andreas L Petzer
- Universitätsklinik Innsbruck, Abteilung für Hämatologie & Onkologie, Innsbruck, Austria.
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De Souza AO, Santos Júnior RR, Melo PS, Alderete JB, De Conti R, Haun M, Sato DN, Durán N. Antimycobacterial activity of 4'-bromo-[1,1'-biphenyl]-4-yl 4-x-phenylmethanone derivatives, and their acute toxicity and cytotoxicity. Pharmazie 2001; 56:871-4. [PMID: 11817173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
The antimycobacterial activity of nine biphenyl methanone (BPM) derivatives against standard strains of Mycobacterium kansasii, M. avium and M. malmoense was determined by colorimetric assay in microplates with the dye Alamar Blue. Acute toxicity of these compounds was also analyzed by determination of CO2 concentration in a respirometric assay using Escherichia coli. The compounds showed weak antimycobacterial activity with a minimal inhibitory concentration (MIC) over 0.038 mmol l-1 and no toxicity was found in E. coli up to 400 mmol l-1. No cytotoxicity was observed on V79 cells up to 0.35 mmol l-1 with 7 of the BPM derivatives, with two exceptions (X = SO2CH3, NO2) that showed some toxicity. The greatest antimycobacterial activity was observed with the SO2CH3 derivative and the application of Principal Component Analysis (PCA) showed a relationship between structure and antimycobacterial activity of the compounds. Two descriptors, nucleophilic superdelocalizability of carbon atom and pi-hydrophobic constant, were necessary to describe this relationship.
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Affiliation(s)
- A O De Souza
- Instituto de Química, Biol. Chem. Lab., Universidade Estadual de Campinas, Brasil
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Justo GZ, Camargo FA, Haun M, Faljoni-Alário A, Durán N. Sensitized photooxygenation and peroxidase-catalyzed inactivation of xanthine oxidase--evidence of cysteine damage by singlet oxygen. Physiol Chem Phys Med NMR 2001; 32:145-54. [PMID: 11383136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
Abstract
Xanthine oxidase (XO) has been investigated for its decreased activity in several cancerous tissues and constitutive generation of reactive oxygen species (ROS) in vivo seems to contribute significantly to its inactivation. Singlet oxygen (1O2) production has been suggested to be relevant when considering folic acid metabolism by cancer cells. Thus, the susceptibility of XO to inactivation by 1O2 generated either by the bioenergized systems folic acid/peroxidase/GSH/Mn2+/O2 and malonaldehyde/peroxidase/Mn2+/O2 or by methylene blue (MB) or eosin-sensitized photooxygenation was studied. Our results showed that other ROS were also responsible for XO inactivation when MB was used. In contrast, eosin produced almost exclusively 1O2. Kinetic studies of XO oxidation in the malonaldehyde/peroxidase system showed that histidine (His) is a competitive inhibitor with respect to XO. A similar result was observed in the eosin-photosensitized process, suggesting the involvement of 1O2 in both processes. In addition, an efficient quenching of XO oxidation by guanosine in the folic acid/peroxidase system was observed. Amino acid analysis revealed that cysteine (Cys) is more affected than other XO amino acids also prone to oxidation such as tyrosine (Tyr), methionine (Met) and His. These results indicate that 1O2 may cause oxidative damage to the Cys residues of XO, with loss of enzyme activity. Alteration of the flavin prosthetic site is hypothesized.
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Affiliation(s)
- G Z Justo
- Instituto de Química, Biological Chemistry Laboratory, Universidade Estadual de Campinas (Unicamp), C.P. 6154, CEP 13083-970, Campinas, S.P., Brazil
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50
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de Souza AO, Santos Júnior RR, Ferreira-Júlio JF, Rodriguez JA, Melo PS, Haun M, Sato DN, Durán N. Synthesis, antimycobacterial activities and cytotoxicity on V79 of 3-[4'-Y-(1,1'-biphenyl)-4-yl]-N,N-dimethyl-3-(4-X-phenyl)-2-propen-1-amine derivatives. Eur J Med Chem 2001; 36:843-50. [PMID: 11738491 DOI: 10.1016/s0223-5234(01)01263-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The derivatives of 3-(4'-bromo-[1,1'-biphenyl]-4-yl)-3-(4-X-phenyl)-N,N-dimethyl-2-propen-1-amine (5a-m) were synthesised through a Friedel-Crafts acylation followed by Wittig reaction. The effects of the compounds on standard strains of Mycobacterium sp. (ATCC) and M. tuberculosis isolated from clinical specimens were evaluated. Also the toxicity was determined on V79 cells line using neutral red uptake (NRU), nucleic acid content (NAC) and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) reduction to measure the cellular viability.
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Affiliation(s)
- A O de Souza
- Instituto de Química, Biological Chemistry Laboratory, Universidade Estadual de Campinas, C.P. 6154, CEP 13083-970, S.P., Campinas, Brazil
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