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Ng NHJ, Ghosh S, Bok CM, Ching C, Low BSJ, Chen JT, Lim E, Miserendino MC, Tan YS, Hoon S, Teo AKK. HNF4A and HNF1A exhibit tissue specific target gene regulation in pancreatic beta cells and hepatocytes. Nat Commun 2024; 15:4288. [PMID: 38909044 PMCID: PMC11193738 DOI: 10.1038/s41467-024-48647-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 04/08/2024] [Indexed: 06/24/2024] Open
Abstract
HNF4A and HNF1A encode transcription factors that are important for the development and function of the pancreas and liver. Mutations in both genes have been directly linked to Maturity Onset Diabetes of the Young (MODY) and type 2 diabetes (T2D) risk. To better define the pleiotropic gene regulatory roles of HNF4A and HNF1A, we generated a comprehensive genome-wide map of their binding targets in pancreatic and hepatic cells using ChIP-Seq. HNF4A was found to bind and regulate known (ACY3, HAAO, HNF1A, MAP3K11) and previously unidentified (ABCD3, CDKN2AIP, USH1C, VIL1) loci in a tissue-dependent manner. Functional follow-up highlighted a potential role for HAAO and USH1C as regulators of beta cell function. Unlike the loss-of-function HNF4A/MODY1 variant I271fs, the T2D-associated HNF4A variant (rs1800961) was found to activate AKAP1, GAD2 and HOPX gene expression, potentially due to changes in DNA-binding affinity. We also found HNF1A to bind to and regulate GPR39 expression in beta cells. Overall, our studies provide a rich resource for uncovering downstream molecular targets of HNF4A and HNF1A that may contribute to beta cell or hepatic cell (dys)function, and set up a framework for gene discovery and functional validation.
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Affiliation(s)
- Natasha Hui Jin Ng
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore
| | - Soumita Ghosh
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
| | - Chek Mei Bok
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore
| | - Carmen Ching
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore
| | - Blaise Su Jun Low
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore
| | - Juin Ting Chen
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
- Department of Biochemistry, National University of Singapore, Singapore, 117596, Singapore
| | - Euodia Lim
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore
- Department of Biochemistry, National University of Singapore, Singapore, 117596, Singapore
| | - María Clara Miserendino
- Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, X5000HUA, Córdoba, Argentina
- Bioinformatics Institute, A*STAR, Singapore, 138671, Singapore
| | - Yaw Sing Tan
- Bioinformatics Institute, A*STAR, Singapore, 138671, Singapore
| | - Shawn Hoon
- Molecular Engineering Laboratory, IMCB, A*STAR, Singapore, 138673, Singapore
| | - Adrian Kee Keong Teo
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore.
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore.
- Department of Biochemistry, National University of Singapore, Singapore, 117596, Singapore.
- Precision Medicine Translational Research Programme (TRP), National University of Singapore, Singapore, 119228, Singapore.
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2
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Kaci A, Solheim MH, Silgjerd T, Hjaltadottir J, Hornnes LH, Molnes J, Madsen A, Sjøholt G, Bellanné-Chantelot C, Caswell R, Sagen JV, Njølstad PR, Aukrust I, Bjørkhaug L. Functional characterization of HNF4A gene variants identify promoter and cell line specific transactivation effects. Hum Mol Genet 2024; 33:894-904. [PMID: 38433330 PMCID: PMC11070132 DOI: 10.1093/hmg/ddae027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 01/26/2024] [Accepted: 02/11/2024] [Indexed: 03/05/2024] Open
Abstract
Hepatocyte nuclear factor-4 alpha (HNF-4A) regulates genes with roles in glucose metabolism and β-cell development. Although pathogenic HNF4A variants are commonly associated with maturity-onset diabetes of the young (MODY1; HNF4A-MODY), rare phenotypes also include hyperinsulinemic hypoglycemia, renal Fanconi syndrome and liver disease. While the association of rare functionally damaging HNF1A variants with HNF1A-MODY and type 2 diabetes is well established owing to robust functional assays, the impact of HNF4A variants on HNF-4A transactivation in tissues including the liver and kidney is less known, due to lack of similar assays. Our aim was to investigate the functional effects of seven HNF4A variants, located in the HNF-4A DNA binding domain and associated with different clinical phenotypes, by various functional assays and cell lines (transactivation, DNA binding, protein expression, nuclear localization) and in silico protein structure analyses. Variants R85W, S87N and R89W demonstrated reduced DNA binding to the consensus HNF-4A binding elements in the HNF1A promoter (35, 13 and 9%, respectively) and the G6PC promoter (R85W ~10%). While reduced transactivation on the G6PC promoter in HepG2 cells was shown for S87N (33%), R89W (65%) and R136W (35%), increased transactivation by R85W and R85Q was confirmed using several combinations of target promoters and cell lines. R89W showed reduced nuclear levels. In silico analyses supported variant induced structural impact. Our study indicates that cell line specific functional investigations are important to better understand HNF4A-MODY genotype-phenotype correlations, as our data supports ACMG/AMP interpretations of loss-of-function variants and propose assay-specific HNF4A control variants for future functional investigations.
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Affiliation(s)
- Alba Kaci
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
- Center for Laboratory Medicine, Østfold Hospital Trust, Kalnesveien 300, Grålum 1714, Norway
| | - Marie Holm Solheim
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
| | - Trine Silgjerd
- Department of Safety, Chemistry, and Biomedical Laboratory Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, Bergen 5020, Norway
| | - Jorunn Hjaltadottir
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
- Department of Safety, Chemistry, and Biomedical Laboratory Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, Bergen 5020, Norway
| | - Lorentze Hope Hornnes
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Jonas Lies veg 87, Bergen 5021, Norway
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
- Department of Medical Genetics, Haukeland University Hospital, Jonas Lies veg 87, Bergen 5021, Norway
| | - Andre Madsen
- Department of Clinical Science, University of Bergen, Jonas Lies veg 87, Bergen 5020, Norway
| | - Gry Sjøholt
- Department of Safety, Chemistry, and Biomedical Laboratory Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, Bergen 5020, Norway
| | - Christine Bellanné-Chantelot
- Départment of Medical Genetics, Sorbonne University, AP-HP, Hôpital Pitié-Salpêtriére, 21 rue de l'école de médecine, 75006 Paris, France
| | - Richard Caswell
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Barrack Rd, Exeter EX2 5DW, United Kingdom
| | - Jørn V Sagen
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Jonas Lies veg 87, Bergen 5021, Norway
| | - Pål R Njølstad
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
- Children and Youth Clinic, Haukeland University Hospital, Haukelandsbakken 1, Bergen 5021, Norway
| | - Ingvild Aukrust
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
- Department of Medical Genetics, Haukeland University Hospital, Jonas Lies veg 87, Bergen 5021, Norway
| | - Lise Bjørkhaug
- Department of Safety, Chemistry, and Biomedical Laboratory Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, Bergen 5020, Norway
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Morikawa S, Ko HL, Ren EC, Hara K, Kaneko N, Hishimura N, Nakamura A, Manabe A. Functional Analysis of a Novel HNF4A Variant Identified in a Patient With MODY1. J Endocr Soc 2024; 8:bvae090. [PMID: 38745825 PMCID: PMC11091833 DOI: 10.1210/jendso/bvae090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Indexed: 05/16/2024] Open
Abstract
Context HNF4A-maturity-onset diabetes of the young (MODY1) is a relatively rare subtype of monogenic diabetes caused by loss of function of the HNF4A gene, which encodes the transcription factor HNF4α. HNF4α is known to form heterodimers, and the various combinations of isoforms that make up these heterodimers have been reported to result in a diversity of targeted genes. However, the function of individual HNF4α variant isoforms and the heterodimers comprising both wild-type (WT) and variant HNF4α have not yet been assessed. Objective In this study, we analyzed the functional consequence of the HNF4A D248Y variant in vitro. Methods We investigated the case of a 12-year-old Japanese girl who developed diabetes at age 11 years. Genetic sequencing detected a novel heterozygous missense HNF4A variant (c.742G > T, p.Asp248Tyr; referred as "D248Y") in the patient and her relatives who presented with diabetes. Results Although the WT HNF4α isoforms (HNF4α2, HNF4α3, HNF4α8, HNF4α9) enhanced the INS gene promoter activity in HepG2 cells, the promoter activity of D248Y was consistently low across all isoforms. The presence of D248Y in homodimers and heterodimers, comprising either HNF4α8 or HNF4α3 or a combination of both isoforms, also reduced the INS promoter activity in Panc-1 cells. Conclusion We report the clinical course of a patient with HNF4A-MODY and the functional analysis of novel HNF4A variants, with a focus on the isoforms and heterodimers they form. Our results serve to improve the understanding of the dominant-negative effects of pathogenic HNF4A variants.
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Affiliation(s)
- Shuntaro Morikawa
- Department of Pediatrics, Hokkaido University Hospital, Sapporo, 060-8648, Japan
| | - Hui Ling Ko
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore 138648, Singapore
| | - Ee Chee Ren
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore 138648, Singapore
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Kazuya Hara
- Department of Pediatrics, Chitose City Hospital, Chitose, 066-0033, Japan
| | - Naoya Kaneko
- Department of Pediatrics, Hokkaido University Hospital, Sapporo, 060-8648, Japan
| | - Nozomi Hishimura
- Department of Pediatrics, Hokkaido University Hospital, Sapporo, 060-8648, Japan
| | - Akie Nakamura
- Department of Pediatrics, Hokkaido University Hospital, Sapporo, 060-8648, Japan
| | - Atsushi Manabe
- Department of Pediatrics, Hokkaido University Hospital, Sapporo, 060-8648, Japan
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Li Z, Zheng D, Zhang T, Ruan S, Li N, Yu Y, Peng Y, Wang D. The roles of nuclear receptors in cholesterol metabolism and reverse cholesterol transport in nonalcoholic fatty liver disease. Hepatol Commun 2024; 8:e0343. [PMID: 38099854 PMCID: PMC10727660 DOI: 10.1097/hc9.0000000000000343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 10/28/2023] [Indexed: 12/18/2023] Open
Abstract
As the most prevalent chronic liver disease globally, NAFLD encompasses a pathological process that ranges from simple steatosis to NASH, fibrosis, cirrhosis, and HCC, closely associated with numerous extrahepatic diseases. While the initial etiology was believed to be hepatocyte injury caused by lipid toxicity from accumulated triglycerides, recent studies suggest that an imbalance of cholesterol homeostasis is of greater significance. The role of nuclear receptors in regulating liver cholesterol homeostasis has been demonstrated to be crucial. This review summarizes the roles and regulatory mechanisms of nuclear receptors in the 3 main aspects of cholesterol production, excretion, and storage in the liver, as well as their cross talk in reverse cholesterol transport. It is hoped that this review will offer new insights and theoretical foundations for the study of the pathogenesis and progression of NAFLD and provide new research directions for extrahepatic diseases associated with NAFLD.
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Chen Z, Liu X, Luo Y, Wang J, Meng Y, Sun L, Chang Y, Cui Q, Yang J. Repurposing Doxepin to Ameliorate Steatosis and Hyperglycemia by Activating FAM3A Signaling Pathway. Diabetes 2020; 69:1126-1139. [PMID: 32312868 PMCID: PMC7243289 DOI: 10.2337/db19-1038] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 03/13/2020] [Indexed: 01/07/2023]
Abstract
Mitochondrial protein FAM3A suppresses hepatic gluconeogenesis and lipogenesis. This study aimed to screen drug(s) that activates FAM3A expression and evaluate its effect(s) on hyperglycemia and steatosis. Drug-repurposing methodology predicted that antidepressive drug doxepin was among the drugs that potentially activated FAM3A expression. Doxepin was further validated to stimulate the translocation of transcription factor HNF4α from the cytoplasm into the nucleus, where it promoted FAM3A transcription to enhance ATP synthesis, suppress gluconeogenesis, and reduce lipid deposition in hepatocytes. HNF4α antagonism or FAM3A deficiency blunted doxepin-induced suppression on gluconeogenesis and lipid deposition in hepatocytes. Doxepin administration attenuated hyperglycemia, steatosis, and obesity in obese diabetic mice with upregulated FAM3A expression in liver and brown adipose tissues (BAT). Notably, doxepin failed to correct dysregulated glucose and lipid metabolism in FAM3A-deficient mice fed on high-fat diet. Doxepin's effects on ATP production, Akt activation, gluconeogenesis, and lipogenesis repression were also blunted in FAM3A-deficient mouse livers. In conclusion, FAM3A is a therapeutic target for diabetes and steatosis. Antidepressive drug doxepin activates FAM3A signaling pathways in liver and BAT to improve hyperglycemia and steatosis of obese diabetic mice. Doxepin might be preferentially recommended as an antidepressive drug in potential treatment of patients with diabetes complicated with depression.
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Affiliation(s)
- Zhenzhen Chen
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Key Laboratory of Molecular Cardiovascular Science of the Ministry of Education, Center for Non-coding RNA Medicine, Peking University Health Science Center, Beijing, China
- Hypertension Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Beijing, China
| | - Xiangyang Liu
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Key Laboratory of Molecular Cardiovascular Science of the Ministry of Education, Center for Non-coding RNA Medicine, Peking University Health Science Center, Beijing, China
| | - Yanjin Luo
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Key Laboratory of Molecular Cardiovascular Science of the Ministry of Education, Center for Non-coding RNA Medicine, Peking University Health Science Center, Beijing, China
| | - Junpei Wang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Key Laboratory of Molecular Cardiovascular Science of the Ministry of Education, Center for Non-coding RNA Medicine, Peking University Health Science Center, Beijing, China
| | - Yuhong Meng
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Key Laboratory of Molecular Cardiovascular Science of the Ministry of Education, Center for Non-coding RNA Medicine, Peking University Health Science Center, Beijing, China
| | - Lei Sun
- Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore, Singapore
| | - Yongsheng Chang
- Department of Physiology and Pathophysiology, Tianjin Medical University, Tianjin, China
| | - Qinghua Cui
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Key Laboratory of Molecular Cardiovascular Science of the Ministry of Education, Center for Non-coding RNA Medicine, Peking University Health Science Center, Beijing, China
- Department of Biomedical Informatics, School of Basic Medical Sciences, Key Laboratory of Molecular Cardiovascular Science of the Ministry of Education, Center for Non-coding RNA Medicine, Peking University Health Science Center, Beijing, China
| | - Jichun Yang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Key Laboratory of Molecular Cardiovascular Science of the Ministry of Education, Center for Non-coding RNA Medicine, Peking University Health Science Center, Beijing, China
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6
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Khatami F, Mohajeri-Tehrani MR, Tavangar SM. The Importance of Precision Medicine in Type 2 Diabetes Mellitus (T2DM): From Pharmacogenetic and Pharmacoepigenetic Aspects. Endocr Metab Immune Disord Drug Targets 2020; 19:719-731. [PMID: 31122183 DOI: 10.2174/1871530319666190228102212] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 10/18/2018] [Accepted: 11/21/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND Type 2 Diabetes Mellitus (T2DM) is a worldwide disorder as the most important challenges of health-care systems. Controlling the normal glycaemia greatly profit long-term prognosis and gives explanation for early, effective, constant, and safe intervention. MATERIAL AND METHODS Finding the main genetic and epigenetic profile of T2DM and the exact molecular targets of T2DM medications can shed light on its personalized management. The comprehensive information of T2DM was earned through the genome-wide association study (GWAS) studies. In the current review, we represent the most important candidate genes of T2DM like CAPN10, TCF7L2, PPAR-γ, IRSs, KCNJ11, WFS1, and HNF homeoboxes. Different genetic variations of a candidate gene can predict the efficacy of T2DM personalized strategy medication. RESULTS SLCs and AMPK variations are considered for metformin, CYP2C9, KATP channel, CDKAL1, CDKN2A/2B and KCNQ1 for sulphonylureas, OATP1B, and KCNQ1 for repaglinide and the last but not the least ADIPOQ, PPAR-γ, SLC, CYP2C8, and SLCO1B1 for thiazolidinediones response prediction. CONCLUSION Taken everything into consideration, there is an extreme need to determine the genetic status of T2DM patients in some known genetic region before planning the medication strategies.
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Affiliation(s)
- Fatemeh Khatami
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad R Mohajeri-Tehrani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed M Tavangar
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.,Department of Pathology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
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7
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Tin A, Marten J, Halperin Kuhns VL, Li Y, Wuttke M, Kirsten H, Sieber KB, Qiu C, Gorski M, Yu Z, Giri A, Sveinbjornsson G, Li M, Chu AY, Hoppmann A, O'Connor LJ, Prins B, Nutile T, Noce D, Akiyama M, Cocca M, Ghasemi S, van der Most PJ, Horn K, Xu Y, Fuchsberger C, Sedaghat S, Afaq S, Amin N, Ärnlöv J, Bakker SJL, Bansal N, Baptista D, Bergmann S, Biggs ML, Biino G, Boerwinkle E, Bottinger EP, Boutin TS, Brumat M, Burkhardt R, Campana E, Campbell A, Campbell H, Carroll RJ, Catamo E, Chambers JC, Ciullo M, Concas MP, Coresh J, Corre T, Cusi D, Felicita SC, de Borst MH, De Grandi A, de Mutsert R, de Vries APJ, Delgado G, Demirkan A, Devuyst O, Dittrich K, Eckardt KU, Ehret G, Endlich K, Evans MK, Gansevoort RT, Gasparini P, Giedraitis V, Gieger C, Girotto G, Gögele M, Gordon SD, Gudbjartsson DF, Gudnason V, Haller T, Hamet P, Harris TB, Hayward C, Hicks AA, Hofer E, Holm H, Huang W, Hutri-Kähönen N, Hwang SJ, Ikram MA, Lewis RM, Ingelsson E, Jakobsdottir J, Jonsdottir I, Jonsson H, Joshi PK, Josyula NS, Jung B, Kähönen M, Kamatani Y, Kanai M, Kerr SM, Kiess W, Kleber ME, Koenig W, Kooner JS, Körner A, Kovacs P, Krämer BK, Kronenberg F, Kubo M, Kühnel B, La Bianca M, Lange LA, Lehne B, Lehtimäki T, Liu J, Loeffler M, Loos RJF, Lyytikäinen LP, Magi R, Mahajan A, Martin NG, März W, Mascalzoni D, Matsuda K, Meisinger C, Meitinger T, Metspalu A, Milaneschi Y, O'Donnell CJ, Wilson OD, Gaziano JM, Mishra PP, Mohlke KL, Mononen N, Montgomery GW, Mook-Kanamori DO, Müller-Nurasyid M, Nadkarni GN, Nalls MA, Nauck M, Nikus K, Ning B, Nolte IM, Noordam R, O'Connell JR, Olafsson I, Padmanabhan S, Penninx BWJH, Perls T, Peters A, Pirastu M, Pirastu N, Pistis G, Polasek O, Ponte B, Porteous DJ, Poulain T, Preuss MH, Rabelink TJ, Raffield LM, Raitakari OT, Rettig R, Rheinberger M, Rice KM, Rizzi F, Robino A, Rudan I, Krajcoviechova A, Cifkova R, Rueedi R, Ruggiero D, Ryan KA, Saba Y, Salvi E, Schmidt H, Schmidt R, Shaffer CM, Smith AV, Smith BH, Spracklen CN, Strauch K, Stumvoll M, Sulem P, Tajuddin SM, Teren A, Thiery J, Thio CHL, Thorsteinsdottir U, Toniolo D, Tönjes A, Tremblay J, Uitterlinden AG, Vaccargiu S, van der Harst P, van Duijn CM, Verweij N, Völker U, Vollenweider P, Waeber G, Waldenberger M, Whitfield JB, Wild SH, Wilson JF, Yang Q, Zhang W, Zonderman AB, Bochud M, Wilson JG, Pendergrass SA, Ho K, Parsa A, Pramstaller PP, Psaty BM, Böger CA, Snieder H, Butterworth AS, Okada Y, Edwards TL, Stefansson K, Susztak K, Scholz M, Heid IM, Hung AM, Teumer A, Pattaro C, Woodward OM, Vitart V, Köttgen A. Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels. Nat Genet 2019; 51:1459-1474. [PMID: 31578528 PMCID: PMC6858555 DOI: 10.1038/s41588-019-0504-x] [Citation(s) in RCA: 224] [Impact Index Per Article: 44.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 08/27/2019] [Indexed: 12/22/2022]
Abstract
Elevated serum urate levels cause gout and correlate with cardiometabolic diseases via poorly understood mechanisms. We performed a trans-ancestry genome-wide association study of serum urate in 457,690 individuals, identifying 183 loci (147 previously unknown) that improve the prediction of gout in an independent cohort of 334,880 individuals. Serum urate showed significant genetic correlations with many cardiometabolic traits, with genetic causality analyses supporting a substantial role for pleiotropy. Enrichment analysis, fine-mapping of urate-associated loci and colocalization with gene expression in 47 tissues implicated the kidney and liver as the main target organs and prioritized potentially causal genes and variants, including the transcriptional master regulators in the liver and kidney, HNF1A and HNF4A. Experimental validation showed that HNF4A transactivated the promoter of ABCG2, encoding a major urate transporter, in kidney cells, and that HNF4A p.Thr139Ile is a functional variant. Transcriptional coregulation within and across organs may be a general mechanism underlying the observed pleiotropy between urate and cardiometabolic traits.
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Affiliation(s)
- Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
- Welch Centre for Prevention, Epidemiology and Clinical Research, Baltimore, MD, USA.
| | - Jonathan Marten
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | | | - Yong Li
- Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Matthias Wuttke
- Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Holger Kirsten
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Karsten B Sieber
- Target Sciences-Genetics, GlaxoSmithKline, Collegeville, PA, USA
| | - Chengxiang Qiu
- Department of Medicine and Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Mathias Gorski
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Zhi Yu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ayush Giri
- Division of Quantitative Sciences, Department of Obstetrics & Gynecology, Vanderbilt Genetics Institute, Vanderbilt Epidemiology Center, Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, USA
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626)/Vanderbilt University, Nashville, TN, USA
| | | | - Man Li
- Department of Medicine, Division of Nephrology and Hypertension, University of Utah, Salt Lake City, UT, USA
| | | | - Anselm Hoppmann
- Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Luke J O'Connor
- Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Bram Prins
- Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
| | - Teresa Nutile
- Institute of Genetics and Biophysics Adriano Buzzati-Traverso-CNR, Naples, Italy
| | - Damia Noce
- Eurac Research, Institute for Biomedicine, Bolzano, Italy
| | - Masato Akiyama
- Laboratory for Statistical Analysis, RIKEN Centre for Integrative Medical Sciences, Yokohama (Kanagawa), Japan
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Massimiliano Cocca
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Trieste, Italy
| | - Sahar Ghasemi
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Katrin Horn
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Yizhe Xu
- Department of Medicine, Division of Nephrology and Hypertension, University of Utah, Salt Lake City, UT, USA
| | | | - Sanaz Sedaghat
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Saima Afaq
- Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
- Institute of Public Health & Social Sciences, Khyber Medical University, Peshawar, Pakistan
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Johan Ärnlöv
- Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Stockholm, Sweden
- School of Health and Social Studies, Dalarna University, Falun, Sweden
| | - Stephan J L Bakker
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Nisha Bansal
- Division of Nephrology, University of Washington, Seattle, WA, USA
- Kidney Research Institute, University of Washington, Seattle, WA, USA
| | | | - Sven Bergmann
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa
| | - Mary L Biggs
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Ginevra Biino
- Institute of Molecular Genetics, National Research Council of Italy, Pavia, Italy
| | - Eric Boerwinkle
- Human Genetics Centre, University of Texas Health Science Centre, Houston, TX, USA
| | - Erwin P Bottinger
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thibaud S Boutin
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Marco Brumat
- University of Trieste, Department of Medicine, Surgery and Health Sciences, Trieste, Italy
| | - Ralph Burkhardt
- LIFE Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Eric Campana
- University of Trieste, Department of Medicine, Surgery and Health Sciences, Trieste, Italy
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Robert J Carroll
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Eulalia Catamo
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Trieste, Italy
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Cardiology, Ealing Hospital, London, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Marina Ciullo
- Institute of Genetics and Biophysics Adriano Buzzati-Traverso-CNR, Naples, Italy
- IRCCS Neuromed, Pozzilli, Italy
| | - Maria Pina Concas
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Trieste, Italy
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Tanguy Corre
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Daniele Cusi
- Institute of Biomedical Technologies, Italy National Research Council, Milano, Italy
- Bio4Dreams, Milano, Italy
| | | | - Martin H de Borst
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Aiko P J de Vries
- Section of Nephrology, Department of Internal Medicine, Leiden University Medical Centre, Leiden, the Netherlands
| | - Graciela Delgado
- Fifth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Ayşe Demirkan
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Genetics, University Medical Center Groningen, Groningen, the Netherlands
| | - Olivier Devuyst
- Institute of Physiology, University of Zurich, Zurich, Switzerland
| | - Katalin Dittrich
- Department of Women and Child Health, Hospital for Children and Adolescents, University of Leipzig, Leipzig, Germany
- Centre for Pediatric Research, University of Leipzig, Leipzig, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Nephrology and Hypertension, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Georg Ehret
- Cardiology, Geneva University Hospitals, Geneva, Switzerland
| | - Karlhans Endlich
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
| | - Ron T Gansevoort
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Paolo Gasparini
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Trieste, Italy
- University of Trieste, Department of Medicine, Surgery and Health Sciences, Trieste, Italy
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Molecular Geriatrics, Uppsala University, Uppsala, Sweden
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Giorgia Girotto
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Trieste, Italy
- University of Trieste, Department of Medicine, Surgery and Health Sciences, Trieste, Italy
| | - Martin Gögele
- Eurac Research, Institute for Biomedicine, Bolzano, Italy
| | - Scott D Gordon
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Vilmundur Gudnason
- Icelandic Heart Association, Kópavogur, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Toomas Haller
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Pavel Hamet
- Montreal University Hospital Research Centre, Centre Hospitalier de lUniversité de Montréal, Montreal, Quebec, Canada
- Medpharmgene, Montreal, Quebec, Canada
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Andrew A Hicks
- Eurac Research, Institute for Biomedicine, Bolzano, Italy
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Hilma Holm
- deCODE Genetics, Amgen Inc., Reykjavik, Iceland
| | - Wei Huang
- Department of Genetics, Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Centre, Shanghai, China
- Shanghai Industrial Technology Institute, Shanghai, China
| | - Nina Hutri-Kähönen
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Pediatrics, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
- The Centre for Population Studies, National Heart, Lung, and Blood Institute, Framingham, MA, USA
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Raychel M Lewis
- Department of Physiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Erik Ingelsson
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA
- Molecular Epidemiology and Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - Johanna Jakobsdottir
- Icelandic Heart Association, Kópavogur, Iceland
- The Centre of Public Health Sciences, University of Iceland, Reykjavik, Iceland
| | | | - Helgi Jonsson
- Landspitalinn University Hospital, Reykjavík, Iceland
- University of Iceland, Reykjavík, Iceland
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Navya Shilpa Josyula
- Geisinger Research, Biomedical and Translational Informatics Institute, Rockville, MD, USA
| | - Bettina Jung
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Centre for Integrative Medical Sciences, Yokohama (Kanagawa), Japan
- Kyoto-McGill International Collaborative School in Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Masahiro Kanai
- Laboratory for Statistical Analysis, RIKEN Centre for Integrative Medical Sciences, Yokohama (Kanagawa), Japan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Shona M Kerr
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Wieland Kiess
- LIFE Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Department of Women and Child Health, Hospital for Children and Adolescents, University of Leipzig, Leipzig, Germany
- Centre for Pediatric Research, University of Leipzig, Leipzig, Germany
| | - Marcus E Kleber
- Fifth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
- German Centre for Cardiovascular Research, Partner Site Munich Heart Alliance, Munich, Germany
- Institute of Epidemiology and Biostatistics, University of Ulm, Ulm, Germany
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, 323 School of Public Health, Imperial College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Antje Körner
- LIFE Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Department of Women and Child Health, Hospital for Children and Adolescents, University of Leipzig, Leipzig, Germany
- Centre for Pediatric Research, University of Leipzig, Leipzig, Germany
| | - Peter Kovacs
- Integrated Research and Treatment Centre Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Bernhard K Krämer
- Fifth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Michiaki Kubo
- RIKEN Centre for Integrative Medical Sciences, Yokohama (Kanagawa), Japan
| | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Neuherberg, Germany
| | - Martina La Bianca
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Trieste, Italy
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado Denver-Anschutz Medical Campus, Aurora, CO, USA
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jun Liu
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Reedik Magi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Winfried März
- Fifth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
- Synlab Academy, Synlab Holding Deutschland GmbH, Mannheim, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | | | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Christa Meisinger
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
- Ludwig-Maximilians-Universität München at UNIKA-T Augsburg, Augsburg, Germany
| | - Thomas Meitinger
- German Centre for Cardiovascular Research, Partner Site Munich Heart Alliance, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Andres Metspalu
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Christopher J O'Donnell
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Otis D Wilson
- Vanderbilt University Medical Centre, Division of Nephrology & Hypertension, Nashville, TN, USA
| | - J Michael Gaziano
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center, VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA
| | - Pashupati P Mishra
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | | | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Centre, Leiden, the Netherlands
| | - Martina Müller-Nurasyid
- German Centre for Cardiovascular Research, Partner Site Munich Heart Alliance, Munich, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Neuherberg, Germany
- Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany
- Department of Internal Medicine I (Cardiology), Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany
| | - Girish N Nadkarni
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Glen Echo, MD, USA
| | - Matthias Nauck
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Kjell Nikus
- Department of Cardiology, Heart Center, Tampere University Hospital, Tampere, Finland
- Department of Cardiology, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Boting Ning
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Raymond Noordam
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Centre, Leiden, the Netherlands
| | | | - Isleifur Olafsson
- Department of Clinical Biochemistry, Landspitali University Hospital, Reykjavik, Iceland
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Thomas Perls
- Department of Medicine, Geriatrics Section, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- German Centre for Cardiovascular Research, Partner Site Munich Heart Alliance, Munich, Germany
| | - Mario Pirastu
- Institute of Genetic and Biomedical Research, National Research Council of Italy, UOS of Sassari, Sassari, Italy
| | - Nicola Pirastu
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Giorgio Pistis
- Department of Psychiatry, University Hospital of Lausanne, Lausanne, Switzerland
| | - Ozren Polasek
- Faculty of Medicine, University of Split, Split, Croatia
- Gen-info Ltd, Zagreb, Croatia
| | - Belen Ponte
- Nephrology Service, Department of Specialties in Internal Medicine, University Hospitals of Geneva, Geneva, Switzerland
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Tanja Poulain
- LIFE Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Michael H Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ton J Rabelink
- Section of Nephrology, Department of Internal Medicine, Leiden University Medical Centre, Leiden, the Netherlands
- Einthoven Laboratory of Experimental Vascular Research, Leiden University Medical Centre, Leiden, the Netherlands
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Rainer Rettig
- Institute of Physiology, University Medicine Greifswald, Karlsburg, Germany
| | - Myriam Rheinberger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Kenneth M Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Federica Rizzi
- Department of Health Sciences, University of Milan, Milano, Italy
- ePhood Scientific Unit, ePhood SRL, Milano, Italy
| | - Antonietta Robino
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Trieste, Italy
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Alena Krajcoviechova
- Center for Cardiovascular Prevention, First Faculty of Medicine, Charles University and Thomayer Hospital, Prague, Czech Republic
- Thomayer Hospital, Prague, Czech Republic
| | - Renata Cifkova
- Center for Cardiovascular Prevention, First Faculty of Medicine, Charles University and Thomayer Hospital, Prague, Czech Republic
- Department of Medicine II, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Rico Rueedi
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics Adriano Buzzati-Traverso-CNR, Naples, Italy
- IRCCS Neuromed, Pozzilli, Italy
| | - Kathleen A Ryan
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Yasaman Saba
- Molecular Biology and Biochemistry, Gottfried Schatz Research Centre for Cell Signaling, Metabolism and Aging, Medical University of Graz, Graz, Austria
| | - Erika Salvi
- Department of Health Sciences, University of Milan, Milano, Italy
- Neurology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Helena Schmidt
- Institute of Molecular Biology and Biochemistry, Centre for Molecular Medicine, Medical University of Graz, Graz, Austria
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Christian M Shaffer
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Albert V Smith
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Blair H Smith
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | | | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Neuherberg, Germany
- Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Michael Stumvoll
- Division of Endocrinology, Nephrology and Rheumatology, University of Leipzig, Leipzig, Germany
| | | | - Salman M Tajuddin
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
| | - Andrej Teren
- LIFE Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Heart Centre Leipzig, Leipzig, Germany
| | - Joachim Thiery
- LIFE Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany
| | - Chris H L Thio
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | | | | | - Anke Tönjes
- Department of Endocrinology and Nephrology, University of Leipzig, Leipzig, Germany
| | - Johanne Tremblay
- Montreal University Hospital Research Centre, Centre Hospitalier de lUniversité de Montréal, Montreal, Quebec, Canada
- Centre de Recherche du CHUM, Montreal, Quebec, Canada
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Simona Vaccargiu
- Institute of Genetic and Biomedical Research, National Research Council of Italy, UOS of Sassari, Sassari, Italy
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Durrer Centre for Cardiovascular Research, the Netherlands Heart Institute, Utrecht, the Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Niek Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Genomics plc, Oxford, UK
| | - Uwe Völker
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Peter Vollenweider
- Internal Medicine, Department of Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Gerard Waeber
- Internal Medicine, Department of Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Neuherberg, Germany
- German Centre for Cardiovascular Research, Partner Site Munich Heart Alliance, Munich, Germany
| | - John B Whitfield
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Sarah H Wild
- Centre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - James F Wilson
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London, UK
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
| | - Murielle Bochud
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Centre, Jackson, MS, USA
| | - Sarah A Pendergrass
- Geisinger Research, Biomedical and Translational Informatics Institute, Danville, PA, USA
| | - Kevin Ho
- Kidney Health Research Institute, Geisinger, Danville, PA, USA
- Department of Nephrology, Geisinger, Danville, PA, USA
| | - Afshin Parsa
- Division of Kidney, Urologic and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, Department of Epidemiology, Department of Health Service, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Carsten A Böger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
- Department of Nephrology and Rheumatology, Kliniken Südostbayern AG, Traunstein, Germany
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Adam S Butterworth
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Yukinori Okada
- Laboratory for Statistical Analysis, RIKEN Centre for Integrative Medical Sciences, Osaka, Japan
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Todd L Edwards
- Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Centre, Nashville, TN, USA
- Department of Veterans Affairs, Tennessee Valley Healthcare System (626)/Vanderbilt University, Nashville, TN, USA
| | | | - Katalin Susztak
- Department of Medicine and Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Iris M Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Adriana M Hung
- Vanderbilt University Medical Centre, Division of Nephrology & Hypertension, Nashville, TN, USA
- Department of Veterans Affairs, Tennessee Valley Healthcare System (626)/Vanderbilt University, Nashville, TN, USA
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | | | - Owen M Woodward
- Department of Physiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
- Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.
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8
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Ferkingstad E, Oddsson A, Gretarsdottir S, Benonisdottir S, Thorleifsson G, Deaton AM, Jonsson S, Stefansson OA, Norddahl GL, Zink F, Arnadottir GA, Gunnarsson B, Halldorsson GH, Helgadottir A, Jensson BO, Kristjansson RP, Sveinbjornsson G, Sverrisson DA, Masson G, Olafsson I, Eyjolfsson GI, Sigurdardottir O, Holm H, Jonsdottir I, Olafsson S, Steingrimsdottir T, Rafnar T, Bjornsson ES, Thorsteinsdottir U, Gudbjartsson DF, Sulem P, Stefansson K. Genome-wide association meta-analysis yields 20 loci associated with gallstone disease. Nat Commun 2018; 9:5101. [PMID: 30504769 PMCID: PMC6269469 DOI: 10.1038/s41467-018-07460-y] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Accepted: 11/01/2018] [Indexed: 01/07/2023] Open
Abstract
Gallstones are responsible for one of the most common diseases in the Western world and are commonly treated with cholecystectomy. We perform a meta-analysis of two genome-wide association studies of gallstone disease in Iceland and the UK, totaling 27,174 cases and 736,838 controls, uncovering 21 novel gallstone-associated variants at 20 loci. Two distinct low frequency missense variants in SLC10A2, encoding the apical sodium-dependent bile acid transporter (ASBT), associate with an increased risk of gallstone disease (Pro290Ser: OR = 1.36 [1.25-1.49], P = 2.1 × 10-12, MAF = 1%; Val98Ile: OR = 1.15 [1.10-1.20], P = 1.8 × 10-10, MAF = 4%). We demonstrate that lower bile acid transport by ASBT is accompanied by greater risk of gallstone disease and highlight the role of the intestinal compartment of the enterohepatic circulation of bile acids in gallstone disease susceptibility. Additionally, two low frequency missense variants in SERPINA1 and HNF4A and 17 common variants represent novel associations with gallstone disease.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Florian Zink
- deCODE Genetics/Amgen, Inc., Reykjavik, 101, Iceland
| | | | | | | | | | | | | | | | | | - Gisli Masson
- deCODE Genetics/Amgen, Inc., Reykjavik, 101, Iceland
| | - Isleifur Olafsson
- Department of Clinical Biochemistry, Landspítali University Hospital, Reykjavik, 101, Iceland
| | | | - Olof Sigurdardottir
- Department of Clinical Biochemistry, Akureyri Hospital, Akureyri, 600, Iceland
| | - Hilma Holm
- deCODE Genetics/Amgen, Inc., Reykjavik, 101, Iceland
| | - Ingileif Jonsdottir
- deCODE Genetics/Amgen, Inc., Reykjavik, 101, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
- Department of Immunology, Landspitali University Hospital, Reykjavik, 101, Iceland
| | - Sigurdur Olafsson
- Department of Internal Medicine, Landspitali University Hospital, Reykjavik, 101, Iceland
| | - Thora Steingrimsdottir
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
- Department of Obstetrics and Gynecology, Landspitali University Hospital, Reykjavik, 101, Iceland
| | | | - Einar S Bjornsson
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
- Department of Internal Medicine, Landspitali University Hospital, Reykjavik, 101, Iceland
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen, Inc., Reykjavik, 101, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
| | - Daniel F Gudbjartsson
- deCODE Genetics/Amgen, Inc., Reykjavik, 101, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, 101, Iceland
| | - Patrick Sulem
- deCODE Genetics/Amgen, Inc., Reykjavik, 101, Iceland.
| | - Kari Stefansson
- deCODE Genetics/Amgen, Inc., Reykjavik, 101, Iceland.
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland.
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9
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Chen J, Chen Y, Wei Y, Tao X, Xu H, Liu Y, Zhu L, Tang G, Wen A, Lv D, Li X, Jiang Y. Activities Analysis and Polymorphisms Identification of GPIHBP1 Promoter Region in Porcine. RUSS J GENET+ 2018. [DOI: 10.1134/s1022795418060042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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10
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Horikawa Y. Maturity-onset diabetes of the young as a model for elucidating the multifactorial origin of type 2 diabetes mellitus. J Diabetes Investig 2018; 9:704-712. [PMID: 29406598 PMCID: PMC6031504 DOI: 10.1111/jdi.12812] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 01/30/2018] [Accepted: 01/30/2018] [Indexed: 12/19/2022] Open
Abstract
Maturity‐onset diabetes of the young (MODY) is a form of diabetes classically characterized as having autosomal dominant inheritance, onset before the age of 25 years in at least one family member and partly preserved pancreatic β‐cell function. The 14 responsible genes are reported to be MODY type 1~14, of which MODY 2 and 3 might be the most common forms. Although MODY is currently classified as diabetes of a single gene defect, it has become clear that mutations in rare MODYs, such as MODY 5 and MODY 6, have small mutagenic effects and low penetrance. In addition, as there are differences in the clinical phenotypes caused by the same mutation even in the same family, other phenotypic modifying factors are thought to exist; MODY could well have characteristics of type 2 diabetes mellitus, which is of multifactorial origin. Here, we outline the effects of genetic and environmental factors on the known phenotypes of MODY, focusing mainly on the examples of MODY 5 and 6, which have low penetrance, as suggestive models for elucidating the multifactorial origin of type 2 diabetes mellitus.
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Affiliation(s)
- Yukio Horikawa
- Department of Diabetes and Endocrinology, Graduate School of Medicine, Gifu University, Gifu, Japan
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11
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Granados-Silvestre MA, Ortiz-López MG, Granados J, Canizales-Quinteros S, Peñaloza-Espinosa RI, Lechuga C, Acuña-Alonzo V, Sánchez-Pozos K, Menjivar M. Susceptibility background for type 2 diabetes in eleven Mexican Indigenous populations: HNF4A gene analysis. Mol Genet Genomics 2017; 292:1209-1219. [PMID: 28688048 DOI: 10.1007/s00438-017-1340-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Accepted: 06/20/2017] [Indexed: 12/30/2022]
Abstract
The genetic risk of developing type 2 diabetes (T2D) increases in parallel with the proportion of Native American ancestry. Mestizo Mexicans have a 70% Native Amerindian genetic background. The T130I polymorphism in the HNF4A gene has been associated with early-onset T2D in mestizo Mexicans. Thus, the aim of the present study was to evaluate the frequency and relationship of the T130I variant in the HNF4A gene with risk factors for developing T2D in eleven indigenous groups from Mexico. In two groups, all exons of the HNF4A gene were directly sequenced; in the remaining the T130I polymorphism was analyzed by restriction fragment length polymorphism. Ancestry informative markers were assessed to confirm the Amerindian component. An additional analysis of EHH was carried out. Interestingly, HNF4A gene screening revealed only the presence of the T130I polymorphism. The range frequency of the risk allele (T) in the indigenous groups was from 2.7 to 16%. Genotypic frequencies (T130I/I130I) were higher and significantly different from those of all of the populations included in the HapMap Project (P < 0.005). EHH scores suggest a positive selection for T130I polymorphism. Metabolic traits indicate a relationship between the T130I/I130I genotypes with high triglyceride concentrations in the indigenous groups (P < 0.005). These results strongly suggest that the high frequency of the T130I polymorphism and its biological relationship with dysfunction in lipid metabolism in Mexican indigenous groups is a risk factor for the developing of T2D in Mexicans.
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Affiliation(s)
- M A Granados-Silvestre
- Departamento de Biología, Facultad de Química, Universidad Nacional Autónoma de México, Edif. F, 2o piso, Lab. 202, Av Universidad 3000, Circuito Interior S/N, Coyoacán, Cd. Universitaria, CP 04510, Mexico City, Mexico
| | - M G Ortiz-López
- Departamento de Biología, Facultad de Química, Universidad Nacional Autónoma de México, Edif. F, 2o piso, Lab. 202, Av Universidad 3000, Circuito Interior S/N, Coyoacán, Cd. Universitaria, CP 04510, Mexico City, Mexico
- Laboratorio de Endocrinología Molecular, Hospital Juárez de México, Av. Instituto Politécnico Nacional 5160, Gustavo A. Madero, CP 07760, Mexico City, Mexico
| | - J Granados
- Departamento de Trasplantes, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Belisario Domínguez, Belisario Domínguez Secc 16, CP 14080, Mexico City, Mexico
| | - S Canizales-Quinteros
- Departamento de Biología, Facultad de Química, Universidad Nacional Autónoma de México, Edif. F, 2o piso, Lab. 202, Av Universidad 3000, Circuito Interior S/N, Coyoacán, Cd. Universitaria, CP 04510, Mexico City, Mexico
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México, Instituto Nacional de Medicina Genómica, Periferico Sur 4809, Tlalpan, Arenal Tepepan, CP 14610, Mexico City, Mexico
| | - Rosenda I Peñaloza-Espinosa
- Unidad de Investigación Médica en Genética Humana, Centro Médico Nacional, Siglo XXI, Instituto Mexicano del Seguro Social (IMSS), Av. Cuauhtémoc 300, Cuauhtémoc, CP 06720, Mexico City, Mexico
| | - C Lechuga
- Centro Cultural Universitario "Casa de las Diligencias", Universidad Autónoma del Estado de México, Av Benito Juárez Garcia Sur 114, Centro, CP 50000, Toluca, Mexico State, Mexico
| | - V Acuña-Alonzo
- Escuela Nacional de Antropología e Historia, Instituto Nacional de Antropología e Historia, Mexico City, Mexico
| | - K Sánchez-Pozos
- Departamento de Biología, Facultad de Química, Universidad Nacional Autónoma de México, Edif. F, 2o piso, Lab. 202, Av Universidad 3000, Circuito Interior S/N, Coyoacán, Cd. Universitaria, CP 04510, Mexico City, Mexico
| | - M Menjivar
- Departamento de Biología, Facultad de Química, Universidad Nacional Autónoma de México, Edif. F, 2o piso, Lab. 202, Av Universidad 3000, Circuito Interior S/N, Coyoacán, Cd. Universitaria, CP 04510, Mexico City, Mexico.
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México, Instituto Nacional de Medicina Genómica, Periferico Sur 4809, Tlalpan, Arenal Tepepan, CP 14610, Mexico City, Mexico.
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12
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Crosstalk of HNF4 α with extracellular and intracellular signaling pathways in the regulation of hepatic metabolism of drugs and lipids. Acta Pharm Sin B 2016; 6:393-408. [PMID: 27709008 PMCID: PMC5045537 DOI: 10.1016/j.apsb.2016.07.003] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Revised: 05/05/2016] [Accepted: 05/11/2016] [Indexed: 12/15/2022] Open
Abstract
The liver is essential for survival due to its critical role in the regulation of metabolic homeostasis. Metabolism of xenobiotics, such as environmental chemicals and drugs by the liver protects us from toxic effects of these xenobiotics, whereas metabolism of cholesterol, bile acids (BAs), lipids, and glucose provide key building blocks and nutrients to promote the growth or maintain the survival of the organism. As a well-established master regulator of liver development and function, hepatocyte nuclear factor 4 alpha (HNF4α) plays a critical role in regulating a large number of key genes essential for the metabolism of xenobiotics, metabolic wastes, and nutrients. The expression and activity of HNF4α is regulated by diverse hormonal and signaling pathways such as growth hormone, glucocorticoids, thyroid hormone, insulin, transforming growth factor-β, estrogen, and cytokines. HNF4α appears to play a central role in orchestrating the transduction of extracellular hormonal signaling and intracellular stress/nutritional signaling onto transcriptional changes in the liver. There have been a few reviews on the regulation of drug metabolism, lipid metabolism, cell proliferation, and inflammation by HNF4α. However, the knowledge on how the expression and transcriptional activity of HNF4α is modulated remains scattered. Herein I provide comprehensive review on the regulation of expression and transcriptional activity of HNF4α, and how HNF4α crosstalks with diverse extracellular and intracellular signaling pathways to regulate genes essential in liver pathophysiology.
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13
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Nair AK, Piaggi P, McLean NA, Kaur M, Kobes S, Knowler WC, Bogardus C, Hanson RL, Baier LJ. Assessment of established HDL-C loci for association with HDL-C levels and type 2 diabetes in Pima Indians. Diabetologia 2016; 59:481-91. [PMID: 26670163 PMCID: PMC4744100 DOI: 10.1007/s00125-015-3835-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Accepted: 11/20/2015] [Indexed: 01/08/2023]
Abstract
AIMS/HYPOTHESIS Epidemiological studies in Pima Indians identified elevated levels of HDL-cholesterol (HDL-C) as a protective factor against type 2 diabetes risk in women. We assessed whether HDL-C-associated single-nucleotide polymorphisms (SNPs) also associate with type 2 diabetes in female Pima Indians. METHODS Twenty-one SNPs in established HDL-C loci were initially analysed in 2,675 full-heritage Pima Indians. SNPs shown to associate with HDL-C (12 SNPs) were assessed for association with type 2 diabetes in 7,710 Pima Indians (55.6% female sex). The CETP locus provided the strongest evidence for association with HDL-C and was further interrogated by analysing tag SNPs. RESULTS Twelve of the 21 SNPs analysed had a significant association with HDL-C in Pima Indians; five SNPs representing four loci (CETP, DOCK6, PPP1R3B and ABCA1) reached genome-wide significance. Three SNPs, at CETP, KLF14 and HNF4A, associated with type 2 diabetes only in female participants with the HDL-C-lowering allele increasing diabetes risk (p values: 3.2 × 10(-4) to 7.7 × 10(-5)); the association remained significant even after adjustment for HDL-C. Additional analysis across CETP identified rs6499863 as having the strongest association with type 2 diabetes in female participants (p = 5.0 × 10(-6)) and this association remained independent of the HDL-C association. CONCLUSIONS/INTERPRETATION SNPs at the CETP, HNF4A and KLF14 locus are associated with HDL-C levels and type 2 diabetes (in female participants). However, since HNF4A and KLF14 are established loci for type 2 diabetes, it is unlikely that HDL-C solely mediates these associations.
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Affiliation(s)
- Anup K Nair
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 445 North 5th Street, Phoenix, AZ, 85004, USA
| | - Paolo Piaggi
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 445 North 5th Street, Phoenix, AZ, 85004, USA
| | - Nellie A McLean
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 445 North 5th Street, Phoenix, AZ, 85004, USA
| | - Manmeet Kaur
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 445 North 5th Street, Phoenix, AZ, 85004, USA
| | - Sayuko Kobes
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 445 North 5th Street, Phoenix, AZ, 85004, USA
| | - William C Knowler
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 445 North 5th Street, Phoenix, AZ, 85004, USA
| | - Clifton Bogardus
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 445 North 5th Street, Phoenix, AZ, 85004, USA
| | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 445 North 5th Street, Phoenix, AZ, 85004, USA
| | - Leslie J Baier
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 445 North 5th Street, Phoenix, AZ, 85004, USA.
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14
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Yang Y, Zhou TC, Liu YY, Li X, Wang WX, Irwin DM, Zhang YP. Identification of HNF4A Mutation p.T130I and HNF1A Mutations p.I27L and p.S487N in a Han Chinese Family with Early-Onset Maternally Inherited Type 2 Diabetes. J Diabetes Res 2016; 2016:3582616. [PMID: 26981542 PMCID: PMC4766352 DOI: 10.1155/2016/3582616] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Revised: 12/17/2015] [Accepted: 01/14/2016] [Indexed: 12/03/2022] Open
Abstract
Maturity-onset diabetes of the young (MODY) is characterized by the onset of diabetes before the age of 25 years, positive family history, high genetic predisposition, monogenic mutations, and an autosomal dominant mode of inheritance. Here, we aimed to investigate the mutations and to characterize the phenotypes of a Han Chinese family with early-onset maternally inherited type 2 diabetes. Detailed clinical assessments and genetic screening for mutations in the HNF4α, GCK, HNF-1α, IPF-1, HNF1β, and NEUROD1 genes were carried out in this family. One HNF4A mutation (p.T130I) and two HNF1A polymorphisms (p.I27L and p.S487N) were identified. Mutation p.T130I was associated with both early-onset and late-onset diabetes and caused downregulated HNF4A expression, whereas HNF1A polymorphisms p.I27L and p.S487N were associated with the age of diagnosis of diabetes. We demonstrated that mutation p.T130I in HNF4A was pathogenic as were the predicted polymorphisms p.I27L and p.S487N in HNF1A by genetic and functional analysis. Our results show that mutations in HNF4A and HNF1A genes might account for this early-onset inherited type 2 diabetes.
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Affiliation(s)
- Ying Yang
- Department of Endocrinology, The Second People's Hospital of Yunnan Province, Kunming, Yunnan 650021, China
- Laboratory for Conservation and Utilization of Bio-Resources, Yunnan University, Kunming, Yunnan 650091, China
| | - Tai-Cheng Zhou
- Department of Endocrinology, The Second People's Hospital of Yunnan Province, Kunming, Yunnan 650021, China
- Laboratory for Conservation and Utilization of Bio-Resources, Yunnan University, Kunming, Yunnan 650091, China
- The Central Laboratory of the Second People's Hospital of Yunnan Province, Kunming, Yunnan 650021, China
| | - Yong-Ying Liu
- Department of Endocrinology, The Second People's Hospital of Yunnan Province, Kunming, Yunnan 650021, China
| | - Xiao Li
- The Central Laboratory of the Second People's Hospital of Yunnan Province, Kunming, Yunnan 650021, China
| | - Wen-Xue Wang
- Laboratory of Biochemistry and Molecular Biology, Yunnan University, Kunming, Yunnan 650091, China
| | - David M. Irwin
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada M5S 2E8
| | - Ya-Ping Zhang
- Laboratory for Conservation and Utilization of Bio-Resources, Yunnan University, Kunming, Yunnan 650091, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
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15
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Early-onset type 2 diabetes mellitus is associated to HNF4A T130I polymorphism in families of central Spain. J Investig Med 2014; 62:968-74. [PMID: 25361053 DOI: 10.1097/jim.0000000000000114] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE Type 2 diabetes mellitus (type 2 DM) and maturity-onset diabetes of the young present some similar clinical and biochemical characteristics that make them difficult to differentiate. Currently, the polymorphism T130I (rs1800961) in the HNF4A (hepatocyte nuclear factor 4A) gene has been described as a risk factor to type 2 DM and shows an autosomal dominant inheritance pattern associated to β-cell function decrease. The aim of the present work was to characterize the phenotypic profile of the T130I carrier and noncarrier relatives included in 3 unrelated families. METHODS We studied GCK, HNF1A, and HNF4A genes by polymerase chain reaction and sequencing in 3 unrelated subjects from Valladolid, Spain, in which maturity-onset diabetes of the young was suspected. We collected genetic, clinical, and biochemical data from these subjects and their relatives in order to check the presence of the T130I polymorphism. RESULTS The heterozygous T130I mutation was the unique functional gene variation that could explain diabetes phenotype. We observed significant differences in glucose metabolism, lipid profile, and Homeostasis Model Assessment index when we compared T130I mutation carriers and noncarriers. Diabetes diagnosed in T130I mutation carriers was related to stressful situations in an earlier age and tightly associated with gestational diabetes. Fasting plasma glucose and HbA(1c) levels increased with age in all carriers (r = 0.69 and r = 0.66, P < 0.01), respectively. CONCLUSIONS Our study supports the T130I variant in HNF4A as a major susceptibility genotype associated with early-onset type 2 DM. Healthy carriers of this mutation require a stricter control in the population of central Spain.
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16
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Chew SC, Lim J, Singh O, Chen X, Tan EH, Lee EJD, Chowbay B. Pharmacogenetic effects of regulatory nuclear receptors (PXR, CAR, RXRα and HNF4α) on docetaxel disposition in Chinese nasopharyngeal cancer patients. Eur J Clin Pharmacol 2013; 70:155-66. [PMID: 24193570 DOI: 10.1007/s00228-013-1596-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2013] [Accepted: 09/30/2013] [Indexed: 11/28/2022]
Abstract
PURPOSE This exploratory study was aimed at elucidating the pharmacogenetics of regulatory nuclear receptors (PXR, CAR, RXRα and HNF4α) and their implications on docetaxel pharmacokinetics and pharmacodynamics in local Chinese nasopharyngeal cancer patients. METHODS A total of 59 single nucleotide polymorphisms (SNPs), including tag-SNPs and functionally relevant SNPs of the genes encoding these regulatory nuclear receptors (PXR/NR1I2, CAR/NR1I3, RXRα/NR2B1 and HNF4α/NR2A1), were profiled in the patients enrolled in our study by direct sequencing (N = 50). The generalized linear model was employed to estimate the haplotypic effects on the pharmacokinetics and pharmacodynamics of the patients. RESULTS The pharmacokinetic profiles of docetaxel in these patients were characterized by marked interindividual variability, with approximately four- to sixfold variations observed in Cmax, AUC0-∞ and CL. Individual SNP association tests revealed that polymorphisms in NR2B1 and NR2A1 were significantly correlated with altered docetaxel pharmacokinetics. Subsequent haplotype association analysis identified the NR2B1 LD block 2 AG haplotype [*+4458G>A(rs3132291) and *+4988A>G(rs4842198)] to be significantly associated with altered pharmacokinetics, in which patients carrying two copies of the AG haplotype had approximately a 20 % decreased Cmax and AUC0-∞ and a 21 % increased CL compared to those who carried only one copy or no copies of the haplotype. A number of SNPs in NR1I2, NR1I3, NR2B1 and NR2A1 were also associated with a significant decrease in blood counts from baseline. No haplotype was found to exert any effects on the pharmacodynamics parameters. CONCLUSIONS The present exploratory study identified several SNPs in the genes encoding regulatory nuclear receptors which may account for the interpatient variability in docetaxel pharmacokinetics and pharmacodynamics. These findings highlight the important role of regulatory nuclear receptors on the disposition of docetaxel.
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Affiliation(s)
- Sin-Chi Chew
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Drive, Singapore, Singapore, 117597
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Bays HE, Toth PP, Kris-Etherton PM, Abate N, Aronne LJ, Brown WV, Gonzalez-Campoy JM, Jones SR, Kumar R, La Forge R, Samuel VT. Obesity, adiposity, and dyslipidemia: a consensus statement from the National Lipid Association. J Clin Lipidol 2013; 7:304-83. [PMID: 23890517 DOI: 10.1016/j.jacl.2013.04.001] [Citation(s) in RCA: 303] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2013] [Revised: 04/02/2013] [Accepted: 04/03/2013] [Indexed: 01/04/2023]
Abstract
The term "fat" may refer to lipids as well as the cells and tissue that store lipid (ie, adipocytes and adipose tissue). "Lipid" is derived from "lipos," which refers to animal fat or vegetable oil. Adiposity refers to body fat and is derived from "adipo," referring to fat. Adipocytes and adipose tissue store the greatest amount of body lipids, including triglycerides and free cholesterol. Adipocytes and adipose tissue are active from an endocrine and immune standpoint. Adipocyte hypertrophy and excessive adipose tissue accumulation can promote pathogenic adipocyte and adipose tissue effects (adiposopathy), resulting in abnormal levels of circulating lipids, with dyslipidemia being a major atherosclerotic coronary heart disease risk factor. It is therefore incumbent upon lipidologists to be among the most knowledgeable in the understanding of the relationship between excessive body fat and dyslipidemia. On September 16, 2012, the National Lipid Association held a Consensus Conference with the goal of better defining the effect of adiposity on lipoproteins, how the pathos of excessive body fat (adiposopathy) contributes to dyslipidemia, and how therapies such as appropriate nutrition, increased physical activity, weight-management drugs, and bariatric surgery might be expected to impact dyslipidemia. It is hoped that the information derived from these proceedings will promote a greater appreciation among clinicians of the impact of excess adiposity and its treatment on dyslipidemia and prompt more research on the effects of interventions for improving dyslipidemia and reducing cardiovascular disease risk in overweight and obese patients.
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Affiliation(s)
- Harold E Bays
- Louisville Metabolic and Atherosclerosis Research Center, 3288 Illinois Avenue, Louisville, KY 40213, USA.
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Tanaka D, Nagashima K, Sasaki M, Funakoshi S, Kondo Y, Yasuda K, Koizumi A, Inagaki N. Exome sequencing identifies a new candidate mutation for susceptibility to diabetes in a family with highly aggregated type 2 diabetes. Mol Genet Metab 2013; 109:112-7. [PMID: 23499280 DOI: 10.1016/j.ymgme.2013.02.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2013] [Revised: 02/13/2013] [Accepted: 02/13/2013] [Indexed: 11/20/2022]
Abstract
The aim of this study was to investigate the genetic background of familial clustering of diabetes using genome-wide linkage analysis combined with exome sequencing. We recruited a Japanese family with a 3-generation history of diabetes. The family comprised 16 members, 13 having been diagnosed with diabetes. Nine members had been diagnosed before the age of 40. Linkage analysis was performed assuming an autosomal dominant model. Linkage regions were observed on chromosomes 4q34, 5q11-q13, and 12p11-q22 and the logarithm of odds (LOD) scores were 1.80. To identify the susceptibility variants, we performed exome sequencing of an affected family member. We predicted that the familial clustering of diabetes is caused by a rare non-synonymous variant, and focused our analysis on non-synonymous variants absent in dbSNP131. Exome sequencing identified 10 such variants in the linkage regions, 7 of which were concordant with the affection status in the family. One hundred five normal subjects and 67 lean diabetes subjects were genotyped for the 7 variants; the only variant found to be significantly more frequent in the diabetes subjects than in the normal subjects was the N1072K variant of the early endosome antigen 1 (EEA1) gene (0 in normal subjects and 4 in diabetes subjects, p=0.022). We therefore propose that the N1072K variant of the EEA1 gene is a candidate mutation for susceptibility to diabetes in the Japanese population.
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Affiliation(s)
- Daisuke Tanaka
- Department of Diabetes and Clinical Nutrition, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
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Chew SC, Lim JSL, Lee EJD, Chowbay B. Genetic variations of NR2A1 in Asian populations: implications in pharmacogenetics studies. Drug Metab Pharmacokinet 2012; 28:278-88. [PMID: 23268925 DOI: 10.2133/dmpk.dmpk-12-sh-114] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
HNF4α (encoded by gene NR2A1) is a dominant transcriptional regulator of various drug disposition genes. It forms a circuitry of molecular cross-talk with other nuclear receptors such as PXR and CAR to synergistically initiate transcription. This study reports on the frequency, linkage disequilibrium pattern and tag-SNP selection of NR2A1 polymorphisms in three local Asian populations, namely Chinese, Malays and Indians (n = 56 subjects each). A total of 69 polymorphisms were identified in the genomic region of NR2A1, of which thirty-three were novel polymorphisms with low allelic frequencies (<0.02). The exonic region of NR2A1 was highly conserved with only 4 novel and 1 reported SNPs identified at low allelic frequencies of less than 0.02. Based on the criteria of MAF ≥ 0.05 and R(2) ≥ 0.80, there were 19, 20 and 22 tag-SNPs selected to represent the genetic polymorphisms of NR2A1 in Chinese, Malays and Indians, respectively. In-silico predictions suggested that some of these polymorphic variants may exert functional effects through affecting the binding sites of transcription and splicing factors. Our study provides valuable information on the genetic variability of NR2A1 which would be useful for pharmacogenetics studies in the local Asian populations.
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Affiliation(s)
- Sin Chi Chew
- Laboratory of Clinical Pharmacology, Division of Medical Sciences, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore
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20
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Abstract
A new generation of genetic studies of diabetes is underway. Following from initial genome-wide association (GWA) studies, more recent approaches have used genotyping arrays of more densely spaced markers, imputation of ungenotyped variants based on improved reference haplotype panels, and sequencing of protein-coding exomes and whole genomes. Experimental and statistical advances make possible the identification of novel variants and loci contributing to trait variation and disease risk. Integration of sequence variants with functional analysis is critical to interpreting the consequences of identified variants. We briefly review these methods and technologies and describe how they will continue to expand our understanding of the genetic risk factors and underlying biology of diabetes.
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Affiliation(s)
- Karen L. Mohlke
- 5096 Genetic Medicine, 120 Mason Farm Drive, University of North Carolina, Chapel Hill, NC 27599-7264, USA, Tel: 919-966-2913, Fax: 919-843-0291
| | - Laura J. Scott
- M4134 SPH II, 1415 Washington Heights, University of Michigan, Ann Arbor, MI 48109-2029, USA, Tel: 734-763-0006, Fax: 734-763-2215
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21
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Tanaka D, Nagashima K, Sasaki M, Yamada C, Funakoshi S, Akitomo K, Takenaka K, Harada K, Koizumi A, Inagaki N. GCKR mutations in Japanese families with clustered type 2 diabetes. Mol Genet Metab 2011; 102:453-60. [PMID: 21236713 DOI: 10.1016/j.ymgme.2010.12.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2010] [Accepted: 12/15/2010] [Indexed: 12/01/2022]
Abstract
OBJECTIVE The aim was to investigate the genetic background of familial clustering of type 2 diabetes. SUBJECTS AND METHODS We recruited Japanese families with a 3-generation history of diabetes. Genome-wide linkage analysis was performed assuming an autosomal dominant model. Genes in the linkage region were computationally prioritized using Endeavour. We sequenced the candidate genes, and the frequencies of detected nucleotide changes were then examined in normoglycemic controls. RESULTS To exclude known genetic factors, we sequenced 6 maturity onset diabetes of the young (MODY) genes in 10 familial cases. Because we detected a MODY3 mutation HNF1A R583G in one case, we excluded this case from further investigation. Linkage analysis revealed a significant linkage region on 2p25-22 (LOD score=3.47) for 4 families. The 23.6-Mb linkage region contained 106 genes. Those genes were scored by computational prioritization. Eleven genes, i.e., top 10% of 106 genes, were selected and considered primary candidates. Considering their functions, we eliminated 3 well characterized genes and finally sequenced 8 genes. GCKR ranked highly in the computational prioritization. Mutations (minor allele frequency less than 1%) in exons and the promoter of GCKR were found in index cases of the families (3 of 18 alleles) more frequently than in controls (0 of 36 alleles, P=0.033). In one pedigree with 9 affected members, the mutation GCKR g.6859C>G was concordant with affection status. No mutation in other 7 genes that ranked highly in the prioritization was concordant with affection status in families. CONCLUSIONS We propose that GCKR is a susceptibility gene in Japanese families with clustered diabetes. The family based approach seems to be complementary with a large population study.
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Affiliation(s)
- Daisuke Tanaka
- Department of Diabetes and Clinical Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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22
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Jafar-Mohammadi B, Groves CJ, Gjesing AP, Herrera BM, Winckler W, Stringham HM, Morris AP, Lauritzen T, Doney ASF, Morris AD, Weedon MN, Swift AJ, Kuusisto J, Laakso M, Altshuler D, Hattersley AT, Collins FS, Boehnke M, Hansen T, Pedersen O, Palmer CNA, Frayling TM, Gloyn AL, McCarthy MI. A role for coding functional variants in HNF4A in type 2 diabetes susceptibility. Diabetologia 2011; 54:111-9. [PMID: 20878384 PMCID: PMC3119815 DOI: 10.1007/s00125-010-1916-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2010] [Accepted: 09/01/2010] [Indexed: 10/19/2022]
Abstract
AIMS/HYPOTHESIS Rare mutations in the gene HNF4A, encoding the transcription factor hepatocyte nuclear factor 4α (HNF-4A), account for ~5% of cases of MODY and more frequent variants in this gene may be involved in multifactorial forms of diabetes. Two low-frequency, non-synonymous variants in HNF4A (V255M, minor allele frequency [MAF] ~0.1%; T130I, MAF ~3.0%)-known to influence downstream HNF-4A target gene expression-are of interest, but previous type 2 diabetes association reports were inconclusive. We aimed to evaluate the contribution of these variants to type 2 diabetes susceptibility through large-scale association analysis. METHODS We genotyped both variants in at least 5,745 cases and 14,756 population controls from the UK and Denmark. We also undertook an expanded association analysis that included previously reported and novel genotype data obtained in Danish, Finnish, Canadian and Swedish samples. A meta-analysis incorporating all published association studies of the T130I variant was subsequently carried out in a maximum sample size of 14,279 cases and 26,835 controls. RESULTS We found no association between V255M and type 2 diabetes in either the initial (p = 0.28) or the expanded analysis (p = 0.44). However, T130I demonstrated a modest association with type 2 diabetes in the UK and Danish samples (additive per allele OR 1.17 [95% CI 1.08-1.28]; p = 1.5 × 10⁻⁴), which was strengthened in the meta-analysis (OR 1.20 [95% CI 1.10-1.30]; p = 2.1 × 10⁻⁵). CONCLUSIONS/INTERPRETATION Our data are consistent with T130I as a low-frequency variant influencing type 2 diabetes risk, but are not conclusive when judged against stringent standards for genome-wide significance. This study exemplifies the difficulties encountered in association testing of low-frequency variants.
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Affiliation(s)
- B Jafar-Mohammadi
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Headington, UK
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Weissglas-Volkov D, Pajukanta P. Genetic causes of high and low serum HDL-cholesterol. J Lipid Res 2010; 51:2032-57. [PMID: 20421590 DOI: 10.1194/jlr.r004739] [Citation(s) in RCA: 147] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Plasma levels of HDL cholesterol (HDL-C) have a strong inherited basis with heritability estimates of 40-60%. The well-established inverse relationship between plasma HDL-C levels and the risk of coronary artery disease (CAD) has led to an extensive search for genetic factors influencing HDL-C concentrations. Over the past 30 years, candidate gene, genome-wide linkage, and most recently genome-wide association (GWA) studies have identified several genetic variations for plasma HDL-C levels. However, the functional role of several of these variants remains unknown, and they do not always correlate with CAD. In this review, we will first summarize what is known about HDL metabolism, monogenic disorders associated with both low and high HDL-C levels, and candidate gene studies. Then we will focus this review on recent genetic findings from the GWA studies and future strategies to elucidate the remaining substantial proportion of HDL-C heritability. Comprehensive investigation of the genetic factors conferring to low and high HDL-C levels using integrative approaches is important to unravel novel pathways and their relations to CAD, so that more effective means of diagnosis, treatment, and prevention will be identified.
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Sookoian S, Gemma C, Pirola CJ. Influence of hepatocyte nuclear factor 4alpha (HNF4alpha) gene variants on the risk of type 2 diabetes: a meta-analysis in 49,577 individuals. Mol Genet Metab 2010; 99:80-9. [PMID: 19748811 DOI: 10.1016/j.ymgme.2009.08.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2009] [Revised: 08/14/2009] [Accepted: 08/14/2009] [Indexed: 12/19/2022]
Abstract
BACKGROUND The nuclear receptor hepatocyte nuclear factor 4alpha (HNF4alpha) contributes to the regulation of a large fraction of liver and pancreatic islet transcriptomes. AIM To evaluate the influence of HNF4alpha polymorphisms across the entire locus on the occurrence of type 2 diabetes (T2D) by means of a meta-analysis. METHODS We evaluated haplotype block structure of HNF4alpha variants owing to linkage disequilibrium (LD). From 1455 reports, we evaluated 21 observational studies. RESULTS Six haplotype blocks of LD were constructed with SNPs with r(2)>0.8; there were also 14 unlinked SNPs. Overall, we included 22,920 cases and 26.657 controls. Among 17 heterogeneous studies (21,881 cases and 24,915 controls), including 3 SNPs of P2 promoter region in block 1, we observed a significant association with T2D in fixed (OR 0.94, 95%CI: 0.905-0.975, p=0.001) and random (OR 0.988, 95%CI: 0.880-0.948, p=0.000012) model. Three homogeneous studies were evaluated in block 2 (2684 cases and 2059 controls), and a significant association with T2D was also observed: OR: 1.121, 95%CI 1.013-1.241, p=0.027. Three additional variants were associated with T2D: two intronic SNPs (rs4810424: OR: 1.080, 95%CI: 1.010-1.154, p<0.03 and rs3212183: OR: 0.843, 95%CI: 0.774-0.918, p<0.00009) and one missense variant (rs1800961: OR: 0.770, 95%CI: 0.595-0.995, p<0.05, 6562 cases and 6723 controls). CONCLUSIONS In addition to HNF4alpha variants in the promoter region, other SNPs may be involved on the occurrence of T2D.
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Affiliation(s)
- Silvia Sookoian
- Molecular Genetics and Biology of Complex Diseases Department, Institute of Medical Research A. Lanari, University of Buenos Aires--National Council of Scientific and Technological Research, Combatientes de Malvinas 3150, Buenos Aires (1427), Argentina
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25
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Dean S, Tang JI, Seckl JR, Nyirenda MJ. Developmental and tissue-specific regulation of hepatocyte nuclear factor 4-alpha (HNF4-alpha) isoforms in rodents. Gene Expr 2010; 14:337-44. [PMID: 20635575 PMCID: PMC6042024 DOI: 10.3727/105221610x12717040569901] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Hepatocyte nuclear factor 4-alpha (HNF4-alpha) regulates expression of a number of genes in several metabolic organs. The HNF4-alpha gene has two promoters and encodes at least nine isoforms through differential splicing. In mouse liver, transcription initiates at promoter 2 (P2) during fetal life, but switches to P1 at birth. Developmental and tissue-specific expression of HNF4-alpha in other organs is largely unknown. Here, we examined expression of P1- and P2-derived transcripts in a number of mouse and rat tissues. Both P1 and P2 were active in mouse fetal liver, but P2-derived isoforms were detected 50% more abundantly than P1 transcripts. Conversely, the adult mouse liver expressed significantly higher levels of P1- than P2-derived mRNA. In contrast, in the rat, P1 was used more predominantly in both fetal and adult liver. Exposure of fetal rats to the synthetic glucocorticoid dexamethasone caused suppression of P2 while enhancing hepatic expression of transcripts from P1. This was associated with increased expression of erythropoietin and phosphoenolpyruvate carboxykinase, which are key HNF4-alpha targets in the liver. Unlike liver, the kidney and stomach used promoters more selectively, so that only P1-derived isoforms were detected in fetal and adult kidneys in mice or rats, whereas the stomach in both species expressed P2-derived transcripts exclusively. No significant HNF4-alpha mRNA was detected in the spleen. These data reveal striking developmental and tissue-specific variation in expression of HNF4-alpha, and indicate that this can be influenced by environmental factors (such as exposure to glucocorticoid excess), with potential pathophysiological consequences.
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Affiliation(s)
- Samena Dean
- Endocrinology Unit, Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Justin I. Tang
- Endocrinology Unit, Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Jonathan R. Seckl
- Endocrinology Unit, Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Moffat J. Nyirenda
- Endocrinology Unit, Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
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26
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Lu Y, Feskens EJM, Boer JMA, Müller M. The potential influence of genetic variants in genes along bile acid and bile metabolic pathway on blood cholesterol levels in the population. Atherosclerosis 2009; 210:14-27. [PMID: 19932478 DOI: 10.1016/j.atherosclerosis.2009.10.035] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2009] [Revised: 10/22/2009] [Accepted: 10/26/2009] [Indexed: 01/10/2023]
Abstract
The liver is currently known to be the major organ to eliminate excess cholesterol from our body. It accomplishes this function in two ways: conversion of cholesterol molecules into bile acids (BAs) and secretion of unesterified cholesterol molecules into bile. BAs are synthesized in the hepatocytes, secreted into bile and delivered to the lumen of the small intestine where they act as detergents to facilitate absorption of fats and fat-soluble vitamins. About 95% of BAs are recovered in the ileum during each cycle of the enterohepatic circulation. Five percent are lost and replaced by newly synthesized BAs, which amounts to approximately 500 mg/day in adult humans. In contrast to the efficiency of the BAs' enterohepatic circulation, 50% of the 1000 mg of cholesterol secreted daily into bile is lost in feces. It is known that rare human mutations in certain genes in bile acid and bile metabolic pathway influence blood cholesterol levels. With the recent success of genome-wide association studies, we are convinced that common genetic variants also play a role in the genetic architecture of plasma lipid traits. In this review, we summarized the current state of knowledge about genetic variations in bile acid and bile metabolic pathway, and assessed their impact on blood cholesterol levels and cholesterol metabolic kinetics in the population.
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Affiliation(s)
- Yingchang Lu
- Division of Human Nutrition, Wageningen University and Research Center, PO Box 8129, 6700 EV Wageningen, The Netherlands.
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27
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Lu Y, Dollé ME, Imholz S, van 't Slot R, Verschuren W, Wijmenga C, Feskens EJ, Boer JM. Multiple genetic variants along candidate pathways influence plasma high-density lipoprotein cholesterol concentrations. J Lipid Res 2008; 49:2582-9. [DOI: 10.1194/jlr.m800232-jlr200] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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28
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Menjívar M, Granados-Silvestre MA, Montúfar-Robles I, Herrera M, Tusié-Luna MT, Canizales-Quinteros S, Aguilar-Salinas CA, Ortiz-López MG. High frequency of T130I mutation of HNF4A gene in Mexican patients with early-onset type 2 diabetes. Clin Genet 2007; 73:185-7. [DOI: 10.1111/j.1399-0004.2007.00928.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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29
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Hor SY, Lee SC, Wong CI, Lim YW, Lim RC, Wang LZ, Fan L, Guo JY, Lee HS, Goh BC, Tan T. PXR, CAR and HNF4alpha genotypes and their association with pharmacokinetics and pharmacodynamics of docetaxel and doxorubicin in Asian patients. THE PHARMACOGENOMICS JOURNAL 2007; 8:139-46. [PMID: 17876342 DOI: 10.1038/sj.tpj.6500478] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Previously studied candidate genes have failed to account for inter-individual variability of docetaxel and doxorubicin disposition and effects. We genotyped the transcriptional regulators of CYP3A and ABCB1 in 101 breast cancer patients from 3 Asian ethnic groups, that is, Chinese, Malays and Indians, in correlation with the pharmacokinetics and pharmacodynamics of docetaxel and doxorubicin. While there was no ethnic difference in docetaxel and doxorubicin pharmacokinetics, ethnic difference in docetaxel- (ANOVA, P=0.001) and doxorubicin-induced (ANOVA, P=0.003) leukocyte suppression was observed, with Chinese and Indians experiencing greater degree of docetaxel-induced myelosuppression than Malays (Bonferroni, P=0.002, P=0.042), and Chinese experiencing greater degree of doxorubicin-induced myelosuppression than Malays and Indians (post hoc Bonferroni, P=0.024 and 0.025). Genotyping revealed both PXR and CAR to be well conserved; only a PXR 5'-untranslated region polymorphism (-24381A>C) and a silent CAR variant (Pro180Pro) were found at allele frequencies of 26 and 53%, respectively. Two non-synonymous variants were identified in HNF4alpha (Met49Val and Thr130Ile) at allele frequencies of 55 and 1%, respectively, with the Met49Val variant associated with slower neutrophil recovery in docetaxel-treated patients (ANOVA, P=0.046). Interactions were observed between HNF4alpha Met49Val and CAR Pro180Pro, with patients who were wild type for both variants experiencing least docetaxel-induced neutropenia (ANOVA, P=0.030). No other significant genotypic associations with pharmacokinetics or pharmacodynamics of either drug were found. The PXR-24381A>C variants were significantly more common in Indians compared to Chinese or Malays (32/18/21%, P=0.035) Inter-individual and inter-ethnic variations of docetaxel and doxorubicin pharmacokinetics or pharmacodynamics exist, but genotypic variability of the transcriptional regulators PAR, CAR and HNF4alpha cannot account for this variability.
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Affiliation(s)
- S Y Hor
- Department of Biochemistry, National University of Singapore, Singapore
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30
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Takeuchi F, Yanai K, Inomata H, Kuzuya N, Kajio H, Honjo S, Takeda N, Kaburagi Y, Yasuda K, Shirasawa S, Sasazuki T, Kato N. Search of type 2 diabetes susceptibility gene on chromosome 20q. Biochem Biophys Res Commun 2007; 357:1100-6. [PMID: 17466274 DOI: 10.1016/j.bbrc.2007.04.063] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2007] [Accepted: 04/12/2007] [Indexed: 11/17/2022]
Abstract
Significant evidence of linkage to type 2 diabetes (T2D) has been shown in a relatively broad region on chromosome 20q, where the hepatocyte nuclear factor-4alpha (HNF4A) has been noted as a positional candidate. To systematically evaluate genetic susceptibility to T2D in the relevant region, we examined the disease association by using 1145 SNPs in two-step screening in the Japanese population. The marker screening enabled us to identify significant disease association in the lipopolysaccharide binding protein (LBP) but not in the HNF4A locus. In a 17.7-Mb interval screened, the strongest association was identified for a SNP, rs2232592, located in the intron of LBP, with an estimated odds ratio of 1.73 (95% CI 1.30-2.31) (P=0.0002) in the whole study panel involving 675 case and 474 control subjects. Our data suggest that the LBP gene may confer genetic susceptibility to T2D and this warrants further replication study.
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Affiliation(s)
- F Takeuchi
- Department of Medical Ecology and Informatics, Research Institute, International Medical Center of Japan, Tokyo, Japan
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31
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Navalón-García K, Mendoza-Alcantar L, Díaz-Vargas ME, Martínez-Godínez MA, Reyna-Garfias H, Aguilar-Salinas CA, Riba L, Canizales-Quinteros S, Villarreal-Molina T, González-Chávez A, Argueta-Villamar V, Tusié-Luna MT, Miliar-García A. HNF-1alpha G574S is a functional variant with decreased transactivation activity. Diabet Med 2006; 23:1295-300. [PMID: 17116178 DOI: 10.1111/j.1464-5491.2006.02008.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
AIM To assess the functional consequence of the hepatocyte nuclear factor 1alpha gene (HNF-1alpha) G574S variant previously proposed as a diabetes susceptibility allele, in a group of Mexican Type 2 diabetic patients with end-stage renal disease (ESRD). METHODS The transcriptional activity of the HNF-1alpha G574S recombinant protein on the human insulin promoter was assessed by transfection assays in RINm5f and HepG2 cell lines. RESULTS Two unrelated Mexican diabetic patients with no known African ancestry were found to carry the G574S variant. This substitution was not found among unrelated healthy control subjects. Whereas the G574S HNF-1alpha transcription activation of the human insulin promoter was 40% lower than that of the wild-type protein in RINm5f beta cells, no difference was found in a hepatic cell line (HepG2). CONCLUSIONS G574S affects the transactivation potential of HNF-1alpha on the insulin promoter in pancreatic beta-cells. Although it has been difficult to prove its role in the development of diabetes in case-control association studies, this variant exhibits functional effects consistent with it being a potential diabetes susceptibility allele.
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Affiliation(s)
- K Navalón-García
- Instituto Politécnico Nacional Escuela Superior de Medicins, Sección de Estudios de Postgrado e Investigación, Plan de San Luis y Díaz Mirón s/n, Miguel Hidalgo, Mexico
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Hwang JS, Shin CH, Yang SW, Jung SY, Huh N. Genetic and clinical characteristics of Korean maturity-onset diabetes of the young (MODY) patients. Diabetes Res Clin Pract 2006; 74:75-81. [PMID: 16632067 DOI: 10.1016/j.diabres.2006.03.002] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2005] [Accepted: 03/06/2006] [Indexed: 12/16/2022]
Abstract
Maturity-onset diabetes of the young (MODY) is mostly caused by mutations of the hepatocyte nuclear factor (HNF)-1alpha (MODY3) and glucokinase (MODY2) genes in Caucasians. But most Japanese and Chinese MODY patients are not linked to known MODY genes. In this study, we examined the genetic and clinical characteristics of Korean subjects with MODY and early onset type 2 diabetes who had been diagnosed before 15 years of age. The study included 23 unrelated subjects fulfilling the criteria for MODY (three consecutive generations of type 2 diabetes with at least one member diagnosed under the age of 25 year) and 17 unrelated subjects diagnosed with early onset type 2 DM under the age of 15 years. The HNF-4alpha (MODY1), glucokinase (MODY2) and HNF-1alpha (MODY3) genes were analysed by direct sequencing. Mutations in the HNF-1alpha gene were found in two patients (5%). One of these, P393fsdelC, was novel, and was found in a patient classified in the MODY group. The GCK gene mutation, R191W, was identified in one patient classified as early-onset type 2 DM (2.5%). No mutations were found in the HNF-4alpha gene, except the T130I variant, which is a known rare polymorphism. In conclusion, the mutations in the HNF-1alpha gene and GCK account for a small proportion, about 5% and 2.5%, respectively, in Korean MODY and early onset type 2 patients. The majority of MODY cases in the Korean population are due to defects in unknown genes.
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Affiliation(s)
- Jin Soon Hwang
- Department of Pediatrics, Ajou University School of Medicine, Suwon, South Korea
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33
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Tanahashi T, Osabe D, Nomura K, Shinohara S, Kato H, Ichiishi E, Nakamura N, Yoshikawa T, Takata Y, Miyamoto T, Shiota H, Keshavarz P, Yamaguchi Y, Kunika K, Moritani M, Inoue H, Itakura M. Association study on chromosome 20q11.21-13.13 locus and its contribution to type 2 diabetes susceptibility in Japanese. Hum Genet 2006; 120:527-42. [PMID: 16955255 DOI: 10.1007/s00439-006-0231-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2006] [Accepted: 07/03/2006] [Indexed: 10/24/2022]
Abstract
Several linkage studies have predicted that human chromosome 20q is closely related to type 2 diabetes, but there is no clear evidence that certain variant(s) or gene(s) have strong effects on the disease within this region. To examine disease susceptibility variant in Japanese, verified SNPs from the databases, with a minor allele frequency larger than 0.15, were selected at 10-kb intervals across a 19.31-Mb region (20q11.21-13.13), which contained 291 genes, including hepatocyte nuclear factor 4alpha (HNF4alpha). As a result, a total of 1,147 SNPs were genotyped with TaqMan assay using 1,818 Japanese samples. By searching for HNF4alpha as a representative disease-susceptible gene, no variants of HNF4alpha were strongly associated with disease. To identify other genetic variant related with disease, we designed an extensive two-stage association study (725 first and 1,093 second test samples). Although SNP1146 (rs220076) was selected as a landmark within the 19.31 Mb region, the magnitude of the nominal P value (P = 0.0023) was rather weak. Subsequently, a haplotype-based association study showed that two common haplotypes were weakly associated with disease. All of these tests resulted in non-significance after adjusting for Bonferroni's correction and the false discovery rate to control for the impact of multiple testing. Contrary to the initial expectations, we could not conclude that certain SNPs had a major effect on this promising locus within the framework presented here. As a way to extend our observations, we emphasize the importance of a subsequent association study including replication and/or meta-analysis in multiple populations.
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Affiliation(s)
- Toshihito Tanahashi
- Division of Genetic Information, Institute for Genome Research, The University of Tokushima, 3-18-15, Tokushima, Japan
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34
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Ellard S, Colclough K. Mutations in the genes encoding the transcription factors hepatocyte nuclear factor 1 alpha (HNF1A) and 4 alpha (HNF4A) in maturity-onset diabetes of the young. Hum Mutat 2006; 27:854-69. [PMID: 16917892 DOI: 10.1002/humu.20357] [Citation(s) in RCA: 140] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Maturity-onset diabetes of the young (MODY) is a monogenic form of diabetes mellitus characterized by autosomal dominant inheritance, early age of onset (often <25 years of age), and pancreatic beta-cell dysfunction. MODY is both clinically and genetically heterogeneous, with six different genes identified to date; glucokinase (GCK), hepatocyte nuclear factor-1 alpha (HNF1A, or TCF1), hepatocyte nuclear factor-4 alpha (HNF4A), insulin promoter factor-1 (IPF1 or PDX1), hepatocyte nuclear factor-1 beta (HNF1B or TCF2), and neurogenic differentiation 1 (NEUROD1). Mutations in the HNF1A gene are a common cause of MODY in the majority of populations studied. A total of 193 different mutations have been described in 373 families. The most common mutation is Pro291fs (P291fsinsC) in the polycytosine (poly C) tract of exon 4, which has been reported in 65 families. HNF4A mutations are rarer; 31 mutations reported in 40 families. Sensitivity to treatment with sulfonylurea tablets is a feature of both HNF1A and HNF4A mutations. The identification of an HNF1A or 4A gene mutation confirms a diagnosis of MODY and has important implications for clinical management.
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Affiliation(s)
- Sian Ellard
- Department of Molecular Genetics, Royal Devon & Exeter NHS Foundation Trust, Exeter, United Kingdom.
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35
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Nyirenda MJ, Dean S, Lyons V, Chapman KE, Seckl JR. Prenatal programming of hepatocyte nuclear factor 4alpha in the rat: A key mechanism in the 'foetal origins of hyperglycaemia'? Diabetologia 2006; 49:1412-20. [PMID: 16570165 DOI: 10.1007/s00125-006-0188-5] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2005] [Accepted: 12/02/2005] [Indexed: 11/27/2022]
Abstract
AIMS/HYPOTHESIS Prenatal glucocorticoid exposure causes lifelong hyperglycaemia in rat offspring, associated with permanently increased hepatic phosphoenolpyruvate carboxykinase 2 (PCK2), the rate-controlling enzyme of gluconeogenesis. To elucidate the mechanisms underlying the 'programming' of PCK2, this study examined the effect of prenatal dexamethasone treatment on expression of transcription factors that regulate Pck2. MATERIALS AND METHODS Real-time RT-PCR and in situ hybridisation were used to measure and localise hepatic mRNA transcribed from the genes for PCK2, hepatocyte nuclear factor 4, alpha (HNF4A), transcription factor 1 (TCF1), CCAAT/enhancer binding protein, alpha (CEBPA), CEBPB, the glucocorticoid receptor (NR3C1) and peroxisome proliferative activated receptor, gamma, coactivator 1 alpha (PPARGC1A) in foetal and adult offspring of dams treated with dexamethasone or vehicle during the last week of gestation. RESULTS Prenatal dexamethasone exposure significantly elevated Hnf4a mRNA expression in foetal and adult liver. This resulted from increased expression of isoforms derived from the 'adult' (P1) Hnf4a promoter. In contrast, isoforms from the 'foetal' (P2) promoter were markedly suppressed by dexamethasone. Like Pck2, the increase in hepatic Hnf4a mRNA occurred exclusively in the periportal zone. Foetal Tcf1 expression was also increased by dexamethasone treatment, but this did not persist into adulthood. Prenatal dexamethasone did not affect the amounts of foetal and/or adult Cebpa, Cebpb, Nr3c1 or Ppargc1a mRNA. CONCLUSIONS/INTERPRETATION Prenatal dexamethasone exposure caused a permanent increase in hepatic Hnf4a mRNA. This increase, which was associated with a premature switch from foetal to adult promoter predominance, was congruent with changes in Pck2 expression. These data suggest that HNF4A might mediate Pck2 overexpression and subsequent hyperglycaemia.
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Affiliation(s)
- M J Nyirenda
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.
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36
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Rowley CW, Staloch LJ, Divine JK, McCaul SP, Simon TC. Mechanisms of mutual functional interactions between HNF-4alpha and HNF-1alpha revealed by mutations that cause maturity onset diabetes of the young. Am J Physiol Gastrointest Liver Physiol 2006; 290:G466-75. [PMID: 16223942 DOI: 10.1152/ajpgi.00431.2005] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Hepatic nuclear factor (HNF)-4alpha and HNF-1alpha are key endodermal transcriptional regulators that physically and functionally interact. HNF-4alpha and HNF-1alpha cooperatively activate genes with binding sites for both factors, whereas suppressive interactions occur at regulatory sequences with a binding site for only one factor. The liver fatty acid binding protein gene (Fabp1) has binding sites for both factors, and chromatin precipitation assays were utilized to demonstrate that HNF-4alpha increased HNF-1alpha Fabp1 promoter occupancy during cooperative transcriptional activation. The HNF4 P2 promoter contains a HNF-1 but not HNF-4 binding site, and HNF-4alpha suppressed HNF-1alpha HNF4 P2 activation and decreased promoter HNF-1alpha occupancy. The apolipoprotein C III (APOC3) promoter contains a HNF-4 but not HNF-1 binding site, and HNF-1alpha suppressed HNF-4alpha APOC3 activation and decreased HNF-4alpha promoter occupancy. Maturity onset diabetes of the young (MODY) as well as defects in hepatic lipid metabolism result from mutations in either HNF-4alpha or HNF-1alpha. We found that MODY missense mutant R127W HNF-4alpha retained wild-type individual Fabp1 activation and bound to HNF-1alpha better than wild-type HNF-4alpha, yet did not cooperate with HNF-1alpha or increase HNF-1alpha Fabp1 promoter occupancy. The R127W mutant was also defective in both suppressing HNF-1alpha activation of HNF4 P2 and decreasing HNF-1alpha promoter occupancy. The HNF-1alpha R131Q MODY mutant also retained wild-type Fabp1 activation and bound to HNF-4alpha as well as the wild type but was defective in both suppressing HNF-4alpha APOC3 activation and decreasing HNF-4alpha promoter occupancy. These results suggest HNF-1alpha-HNF-4alpha functional interactions are accomplished by regulating factor promoter occupancy and that defective factor-factor interactions may contribute to the MODY phenotype.
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Affiliation(s)
- Christopher W Rowley
- Department of Pediatrics, Washington University School of Medicine, Campus Box 8208, St. Louis, MO 63110, USA
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37
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Fukushima-Uesaka H, Saito Y, Maekawa K, Saeki M, Kamatani N, Kajio H, Kuzuya N, Yasuda K, Sawada JI. Novel Genetic Variations and Haplotypes of Hepatocyte Nuclear Factor 4α(HNF4A) Pound in Japanese Type II Diabetic Patients. Drug Metab Pharmacokinet 2006; 21:337-46. [PMID: 16946562 DOI: 10.2133/dmpk.21.337] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Thirty-nine single nucleotide variations, including 16 novel ones, were found in the 5' promoter region, all of the exons and their surrounding introns of HNF4A in 74 Japanese type II diabetic patients. The following novel variations were identified (based on the amino acid numbering of splicing variant 2): -208G>C in the 5' promoter region; 1154C>T (A385V) and 1193T>C (M398T) in the coding exons; 1580G>A, 1852G>T, 2180C>T, 2190G>A, and 2362_2380delAAGAATGGTGTGGGAGAGG in the 3'-untranslated region, and IVS1+231G>A, IVS2-83C>T, IVS3+50C>T, IVS3-54delC, IVS5+173_176delTTAG, IVS5-181_-180delAT, IVS8-106A>G, and IVS9-151A>C in the introns. The allele frequencies were 0.311 for 2362_2380delAAGAATGGTGTGGGAGAGG, 0.054 for 1580G>A, 0.047 for 1852G>T, 0.020 for IVS1+231G>A, 0.014 for IVS9-151A>C, and 0.007 for the other 11 variations. In addition, one known nonsynonymous single nucleotide polymorphism, 416C>T (T139I), was detected at a 0.007 frequency. Based on the linkage disequilibrium profiles, the region analyzed was divided into three blocks. Haplotype analysis determined/inferred 10, 16, and 12 haplotypes for block 1, 2, and 3, respectively. Our results on HNF4A variations and haplotypes would be useful for pharmacogenetic studies in Japanese.
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38
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Abstract
Type 2 diabetes (T2D) has become a health-care problem worldwide, with the rise in disease prevalence being all the more worrying as it not only affects the developed world but also developing nations with fewer resources to cope with yet another major disease burden. Furthermore, the problem is no longer restricted to the ageing population, as young adults and children are also being diagnosed with T2D. In recent years, there has been a surge in the number of genetic studies of T2D in attempts to identify some of the underlying risk factors. In this review, I highlight the main genes known to cause uncommon monogenic forms of diabetes (e.g. maturity-onset diabetes of the young--MODY--and insulin resistance syndromes), as well as describe some of the main approaches used to identify genes involved in the more common forms of T2D that result from the interaction between environmental risk factors and predisposing genotypes. Linkage and candidate gene studies have been highly successful in the identification of genes that cause the monogenic variants of diabetes and, although progress in the more common forms of T2D has been slow, a number of genes have now been reproducibly associated with T2D risk in multiple studies. These are discussed, as well as the main implications that the diabetes gene discoveries will have in diabetes treatment and prevention.
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Affiliation(s)
- I Barroso
- Metabolic Disease Group, The Wellcome Trust Sanger Institute, Cambridge, UK.
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39
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Ek J, Rose CS, Jensen DP, Glümer C, Borch-Johnsen K, Jørgensen T, Pedersen O, Hansen T. The functional Thr130Ile and Val255Met polymorphisms of the hepatocyte nuclear factor-4alpha (HNF4A): gene associations with type 2 diabetes or altered beta-cell function among Danes. J Clin Endocrinol Metab 2005; 90:3054-9. [PMID: 15728204 DOI: 10.1210/jc.2004-2159] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
HNF4A encodes an orphan nuclear receptor that plays crucial roles in regulating hepatic gluconeogenesis and insulin secretion. The aim of the present study was to examine two rare missense polymorphisms of HNF4A, Thr130Ile and Val255Met, for altered function and for association with type 2 diabetes (T2D). We have examined these polymorphisms 1) by in vitro transactivation studies and 2) by genotyping the variants in 1409 T2D patients and in 4726 glucose-tolerant Danish white subjects. When tested in COS7 cells, both the Thr130Ile and the Val255Met variants showed a significant decrease in transactivation activity compared with wild-type (73% of wild-type, P = 0.02, and 76%, P = 0.04, respectively). The Thr130Ile variant had a significantly increased carrier frequency among T2D patients compared with glucose-tolerant subjects [odds ratio, 1.26 (1.01-1.57); P = 0.04]. The rare Val255Met polymorphism had a similar frequency among T2D patients and glucose-tolerant subjects. Heterozygous glucose-tolerant carriers of the variant showed, however, decreased levels of fasting serum C-peptide (76%; P = 0.03) and decreased fasting serum triglyceride (58%; P = 0.02). In conclusion, The Thr130Ile and the Val255Met polymorphisms decrease the transcriptional activity of HNF4A, and the Thr130Ile polymorphism associates with T2D, whereas the Val255Met variant associates with a decrease in fasting serum C-peptide.
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Affiliation(s)
- Jakob Ek
- Steno Diabetes Center and Hagedorn Research Institute, Niels Steensens Vej 6, NSK1.14, DK-2820 Gentofte, Denmark.
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40
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Bagwell AM, Bento JL, Mychaleckyj JC, Freedman BI, Langefeld CD, Bowden DW. Genetic analysis of HNF4A polymorphisms in Caucasian-American type 2 diabetes. Diabetes 2005; 54:1185-90. [PMID: 15793260 DOI: 10.2337/diabetes.54.4.1185] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Hepatocyte nuclear factor 4alpha (HNF4A), the gene for the maturity-onset diabetes of the young type 1 monogenic form of type 2 diabetes, is within the type 2 diabetes-linked region on chromosome 20q12-q13.1 and, consequently, is a positional candidate gene for type 2 diabetes in the general population. Previous studies have identified only a few rare coding mutations. However, recent studies suggest that single nucleotide polymorphisms (SNPs) located near the P2 (beta-cell) promoter of HNF4A are associated with diabetes susceptibility. In this study, we evaluated 23 SNPs spanning 111 kb including the HNF4A gene for association with type 2 diabetes in a collection of Caucasian type 2 diabetic patients with end-stage renal disease (n = 300) and control subjects (n = 310). None of the individual SNPs were associated with type 2 diabetes in this collection of case subjects (P values ranging from 0.06 to 0.99). However, haplotype analysis identifies significant differences between haplotype frequencies in type 2 diabetic case and control subjects (P = 0.013 to P < 0.001), with two uncommon "risk" haplotypes (2.4 and 2.2% of chromosomes) and two uncommon "protective" haplotypes (7.1 and 5.0% of chromosomes) accounting for the evidence of association. Our results suggest that type 2 diabetes linked to 20q12-13 is a heterogeneous disease in which different populations may have different type 2 diabetes susceptibility loci.
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Affiliation(s)
- Allison M Bagwell
- Molecular Genetics Program, Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157, USA
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41
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Ihara A, Yamagata K, Nammo T, Miura A, Yuan M, Tanaka T, Sladek FM, Matsuzawa Y, Miyagawa JI, Shimomura I. Functional characterization of the HNF4α isoform (HNF4α8) expressed in pancreatic β-cells. Biochem Biophys Res Commun 2005; 329:984-90. [PMID: 15752752 DOI: 10.1016/j.bbrc.2005.02.072] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2005] [Indexed: 10/25/2022]
Abstract
Mutations in the hepatocyte nuclear factor (HNF) 4alpha gene cause a form of maturity-onset diabetes of the young (MODY1), which is a monogenic form of type 2 diabetes characterized by impaired insulin secretion by pancreatic beta-cells. HNF4alpha is a transcription factor expressed in the liver, kidney, intestine, and pancreatic islet. Multiple splice variants of the HNF4alpha gene have been identified and an isoform of HNF4alpha8, an N-terminal splice variant, is expressed in pancreatic beta-cells. However, expression levels of HNF4alpha protein in pancreatic beta-cells and the transcriptional activity of HNF4alpha8 are not yet understood. In the present study, we investigated the expression of HNF4alpha in beta-cells and examined its functional properties. Western blotting and immunohistochemical analysis revealed that the expression of HNF4alpha protein in pancreatic islets and INS-1 cells was much lower than in the liver. A reporter gene assay showed that the transactivation potential of HNF4alpha8 was significantly weaker than that of HNF4alpha2, which is a major isoform in the liver, suggesting that the total level of HNF4alpha activity is very weak in pancreatic beta-cells. We also showed that the N-terminal A/B region of HNF4alpha8 possessed no activation function and C-terminal F region negatively regulated the transcriptional activity of HNF4alpha8. The information presented here would be helpful for the better understanding of MODY1/HNF4alpha diabetes.
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Affiliation(s)
- Arisa Ihara
- Department of Internal Medicine and Molecular Science, Graduate School of Medicine, Osaka University, Osaka, Japan
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42
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Abstract
Genes influence susceptibility to type 2 diabetes mellitus (T2DM), and both positional cloning and candidate gene approaches have been used to identify these genes. Linkage analysis has generated evidence for T2DM-predisposing variants on chromosome 20q in studies of Caucasians, Asians, and Africans, and fine-mapping recently identified a likely susceptibility gene, hepatocyte nuclear factor 4-alpha (HNF4A). Rare loss-of-function mutations in HNF4A cause maturity-onset diabetes of the young and now common noncoding variants have been found to be associated with T2DM.
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Affiliation(s)
- Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599-7264, USA.
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43
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Winckler W, Graham RR, de Bakker PIW, Sun M, Almgren P, Tuomi T, Gaudet D, Hudson TJ, Ardlie KG, Daly MJ, Hirschhorn JN, Groop L, Altshuler D. Association testing of variants in the hepatocyte nuclear factor 4alpha gene with risk of type 2 diabetes in 7,883 people. Diabetes 2005; 54:886-92. [PMID: 15734869 DOI: 10.2337/diabetes.54.3.886] [Citation(s) in RCA: 67] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Two recent publications reported association of common polymorphisms in the P2 promoter of hepatocyte nuclear factor 4alpha (HNF4alpha) (the MODY1 gene) with risk for type 2 diabetes. We attempted to reproduce this putative association by genotyping 11 single nucleotide polymorphism (SNPs) spanning the HNF4alpha coding region and the P2 promoter in >3,400 patients and control subjects from Sweden, Finland, and Canada. One SNP that was consistently associated in the two previous reports (rs1884613, in the P2 promoter region) also trended in the same direction in our sample, albeit with a lower estimated odds ratio (OR) of 1.11 (P = 0.05, one-tailed). We genotyped this SNP (rs1884613) in an additional 4,400 subjects from North America and Poland. In this sample, the association was not confirmed and trended in the opposite direction (OR 0.88). Meta-analysis of our combined sample of 7,883 people (three times larger than the two initial reports combined) yielded an OR of 0.97 (P = 0.27). Finally, we provide an updated analysis of haplotype structure in the region to guide any further investigation of common variation in HNF4alpha. Although our combined results fail to replicate the previously reported association of common variants in HNF4alpha with risk for type 2 diabetes, we cannot exclude an effect smaller than that originally proposed, heterogeneity among samples, variation in as-yet-unmeasured genotypic or environmental modifiers, or true association secondary to linkage disequilibrium (LD) with as-yet-undiscovered variant(s) in the region.
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Affiliation(s)
- Wendy Winckler
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA
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44
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Abstract
The intensive search for genetic variants that predispose to type 2 diabetes was launched with optimism, but progress has been slower than was hoped. Even so, major advances have been made in the understanding of monogenic forms of the disease which together represent a substantial health burden, and a few common gene variants that influence susceptibility have now been unequivocally identified. Armed with a better understanding of the tools needed to detect such genes, it seems inevitable that the rate of progress will increase and the relevance of genetic information to the diagnosis, treatment, and prevention of diabetes will become increasingly tangible.
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Affiliation(s)
- Stephen O'Rahilly
- University of Cambridge, Department of Clinical Biochemistry, Addenbrooke's Hospital, Cambridge CB2 2QQ, UK.
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45
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Abstract
Maturity-onset diabetes of the young (MODY) is a rare subtype of type 2 diabetes that is characterized by autosomal-dominant inheritance and can be caused by mutations in hepatocyte nuclear factor 4alpha (HNF-4alpha). Odom and colleagues have combined chromatin immunoprecipitation with promoter microarrays to identify numerous promoters occupied by HNF-4alpha in the human liver and islet, suggesting a very broad role for HNF-4alpha in glucose homeostasis. This notion is supported by recent genetic studies linking HNF-4alpha to the much more common late-onset type 2 diabetes.
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Affiliation(s)
- Rana K Gupta
- Department of Genetics, University of Pennsylvania School of Medicine, 415 Curie Blvd, Philadelphia, PA 19104, USA
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46
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Kulkarni RN, Kahn CR. Molecular biology. HNFs--linking the liver and pancreatic islets in diabetes. Science 2004; 303:1311-2. [PMID: 14988544 DOI: 10.1126/science.1095486] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Affiliation(s)
- Rohit N Kulkarni
- Department of Cell and Molecular Physiology, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA.
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47
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Odom DT, Zizlsperger N, Gordon DB, Bell GW, Rinaldi NJ, Murray HL, Volkert TL, Schreiber J, Rolfe PA, Gifford DK, Fraenkel E, Bell GI, Young RA. Control of pancreas and liver gene expression by HNF transcription factors. Science 2004; 303:1378-81. [PMID: 14988562 PMCID: PMC3012624 DOI: 10.1126/science.1089769] [Citation(s) in RCA: 998] [Impact Index Per Article: 49.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The transcriptional regulatory networks that specify and maintain human tissue diversity are largely uncharted. To gain insight into this circuitry, we used chromatin immunoprecipitation combined with promoter microarrays to identify systematically the genes occupied by the transcriptional regulators HNF1alpha, HNF4alpha, and HNF6, together with RNA polymerase II, in human liver and pancreatic islets. We identified tissue-specific regulatory circuits formed by HNF1alpha, HNF4alpha, and HNF6 with other transcription factors, revealing how these factors function as master regulators of hepatocyte and islet transcription. Our results suggest how misregulation of HNF4alpha can contribute to type 2 diabetes.
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Affiliation(s)
- Duncan T. Odom
- Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA
| | - Nora Zizlsperger
- Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA
- Department of Biology, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
| | - D. Benjamin Gordon
- Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA
| | - George W. Bell
- Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA
| | - Nicola J. Rinaldi
- Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA
- Department of Biology, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
| | - Heather L. Murray
- Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA
| | - Tom L. Volkert
- Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA
| | - Jörg Schreiber
- Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA
| | - P. Alexander Rolfe
- MIT Laboratory of Computer Science, 200 Technology Square, Cambridge, MA 02139, USA
| | - David K. Gifford
- MIT Laboratory of Computer Science, 200 Technology Square, Cambridge, MA 02139, USA
| | - Ernest Fraenkel
- Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA
| | - Graeme I. Bell
- Departments of Biochemistry and Molecular Biology, Medicine, and Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Richard A. Young
- Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA
- Department of Biology, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
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48
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Yamagata K. Regulation of pancreatic beta-cell function by the HNF transcription network: lessons from maturity-onset diabetes of the young (MODY). Endocr J 2003; 50:491-9. [PMID: 14614204 DOI: 10.1507/endocrj.50.491] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- Kazuya Yamagata
- Department of Internal Medicine and Molecular Science, Graduate School of Medicine, Osaka University, Japan
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