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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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3
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Ren XY, Xue MR, Yan ZL, Zhang SJ, Liu M, Li AZ. Clinical Characteristics and Gene Mutations of Two Families with MODY 3 in Inner Mongolia. Pharmgenomics Pers Med 2022; 15:1019-1027. [PMID: 36567880 PMCID: PMC9785186 DOI: 10.2147/pgpm.s371141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 09/29/2022] [Indexed: 12/23/2022] Open
Abstract
Objective This study aimed to analyze the clinical characteristics and gene mutations of two families with maturity-onset diabetes of the young 3 (MODY 3) in Inner Mongolia. Methods Fifty-three patients in Inner Mongolia suspected of having MODY 3 were enrolled in this study according to clinical manifestations. Blood samples were collected, and all exons of the HNF1α gene were analyzed; the second-generation DNA of the splicing regions of the gene was determined by direct sequencing. Results In Family 1, the proband, mother, and uncle all carried the missense heterozygous mutation on exon 2 of the HNF1α gene (c.512G>A, p.Arg171Gln), and both the proband and uncle had MODY 3. In Family 2, the proband, grandfather, father, uncle I, and uncle II all carried a missense mutation on exon 2 (c.391C>t, p.Arg131Trp), and all had MODY 3. The blood glucose control in these patients was stable while they were being treated with oral sulfonylurea hypoglycemic drugs alone or with insulin. Uncle II had serious macrovascular and microvascular complications. Conclusion Maturity-onset diabetes of the young 3 gene mutations (c.512G>A, p.Arg171Gln) and (c.391C>T, p.Arg131Trp) may be the main pathogenic genes of the two families with MODY 3. The two gene mutations found in this study have not been reported previously in China.
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Affiliation(s)
- Xiao-Yan Ren
- Department of Endocrinology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010050, People’s Republic of China
| | - Meng-Ruo Xue
- Department of Interventional Radiology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010050, People’s Republic of China
| | - Zhao-Li Yan
- Department of Endocrinology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010050, People’s Republic of China,Correspondence: Zhao-Li Yan, Department of Endocrinology, Affiliated Hospital of Inner Mongolia Medical University, No. 1, North Tongdao Street, Huiming District, Hohhot, 010050, People’s Republic of China, Tel +86 13848177245, Email
| | - Shao-Jie Zhang
- Department of Anatomy, Inner Mongolia Medical University, Hohhot, 010050, People’s Republic of China
| | - Min Liu
- Department of Endocrinology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010050, People’s Republic of China
| | - Ai-Zhen Li
- Department of Endocrinology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010050, People’s Republic of China
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4
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A Review of Functional Characterization of Single Amino Acid Change Mutations in HNF Transcription Factors in MODY Pathogenesis. Protein J 2021; 40:348-360. [PMID: 33950347 DOI: 10.1007/s10930-021-09991-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/22/2021] [Indexed: 12/15/2022]
Abstract
Mutations in HNF transcription factor genes cause the most common subtypes of maturity-onset of diabetes of youth (MODY), a monogenic form of diabetes mellitus. Mutations in the HNF1-α, HNF4-α, and HNF1-β genes are primarily considered as the cause of MODY3, MODY1, and MODY5 subtypes, respectively. Although patients with different subtypes display similar symptoms, they may develop distinct diabetes-related complications and require different treatments depending on the type of the mutation. Genetic analysis of MODY patients revealed more than 400 missense/nonsense mutations in HNF1-α, HNF4-α, and HNF1-β genes, however only a small portion of them are functionally characterized. Evaluation of nonsense mutations are more direct as they lead to premature stop codons and mostly in mRNA decay or nonfunctional truncated proteins. However, interpretation of the single amino acid change (missense) mutation is not such definite, as effect of the variant may vary depending on the location and also the substituted amino acid. Mutations with benign effect on the protein function may not be the pathologic variant and further genetic testing may be required. Here, we discuss the functional characterization analysis of single amino acid change mutations identified in HNF1-α, HNF4-α, and HNF1-β genes and evaluate their roles in MODY pathogenesis. This review will contribute to comprehend HNF nuclear family-related molecular mechanisms and to develop more accurate diagnosis and treatment based on correct evaluation of pathologic effects of the variants.
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5
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Ng NHJ, Jasmen JB, Lim CS, Lau HH, Krishnan VG, Kadiwala J, Kulkarni RN, Ræder H, Vallier L, Hoon S, Teo AKK. HNF4A Haploinsufficiency in MODY1 Abrogates Liver and Pancreas Differentiation from Patient-Derived Induced Pluripotent Stem Cells. iScience 2019; 16:192-205. [PMID: 31195238 PMCID: PMC6562146 DOI: 10.1016/j.isci.2019.05.032] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 11/20/2018] [Accepted: 05/22/2019] [Indexed: 01/01/2023] Open
Abstract
Maturity-onset diabetes of the young 1 (MODY1) is a monogenic diabetes condition caused by heterozygous HNF4A mutations. We investigate how HNF4A haploinsufficiency from a MODY1/HNF4A mutation influences the development of foregut-derived liver and pancreatic cells through differentiation of human induced pluripotent stem cells from a MODY1 family down the foregut lineage. In MODY1-derived hepatopancreatic progenitors, which expressed reduced HNF4A levels and mislocalized HNF4A, foregut genes were downregulated, whereas hindgut-specifying HOX genes were upregulated. MODY1-derived hepatocyte-like cells were found to exhibit altered morphology. Hepatic and β cell gene signatures were also perturbed in MODY1-derived hepatocyte-like and β-like cells, respectively. As mutant HNF4A (p.Ile271fs) did not undergo complete nonsense-mediated decay or exert dominant negativity, HNF4A-mediated loss of function is likely due to impaired transcriptional activation of target genes. Our results suggest that in MODY1, liver and pancreas development is perturbed early on, contributing to altered hepatic proteins and β cell defects in patients. HNF4A is downregulated and predominantly mislocalized in the cytoplasm in MODY1 Foregut markers, pancreatic and hepatic genes, were downregulated in MODY1-HPPs A reciprocal upregulation of hindgut HOX genes was observed in MODY1-HPPs Mutant HNF4A resulted in loss of transcriptional activation of target genes
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Affiliation(s)
- Natasha Hui Jin Ng
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology, A*STAR, Singapore 138673, Singapore
| | - Joanita Binte Jasmen
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology, A*STAR, Singapore 138673, Singapore
| | - Chang Siang Lim
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology, A*STAR, Singapore 138673, Singapore
| | - Hwee Hui Lau
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology, A*STAR, Singapore 138673, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | | | - Juned Kadiwala
- Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Anne McLaren Laboratory, Department of Surgery, University of Cambridge, Cambridge CB2 0SZ, UK
| | - Rohit N Kulkarni
- Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center, Harvard Stem Cell Institute, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA 02215, USA
| | - Helge Ræder
- Department of Pediatrics, Haukeland University Hospital, 5021 Bergen, Norway; KG Jebsen Center for Diabetes Research, Department of Clinical Science, Faculty of Medicine, University of Bergen, 5020 Bergen, Norway
| | - Ludovic Vallier
- Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Anne McLaren Laboratory, Department of Surgery, University of Cambridge, Cambridge CB2 0SZ, UK; Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
| | - Shawn Hoon
- Molecular Engineering Lab, A*STAR, Singapore 138673, Singapore
| | - Adrian Kee Keong Teo
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology, A*STAR, Singapore 138673, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore; Department of Biochemistry and Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore.
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6
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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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7
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de Vries PS, Chasman DI, Sabater-Lleal M, Chen MH, Huffman JE, Steri M, Tang W, Teumer A, Marioni RE, Grossmann V, Hottenga JJ, Trompet S, Müller-Nurasyid M, Zhao JH, Brody JA, Kleber ME, Guo X, Wang JJ, Auer PL, Attia JR, Yanek LR, Ahluwalia TS, Lahti J, Venturini C, Tanaka T, Bielak LF, Joshi PK, Rocanin-Arjo A, Kolcic I, Navarro P, Rose LM, Oldmeadow C, Riess H, Mazur J, Basu S, Goel A, Yang Q, Ghanbari M, Willemsen G, Rumley A, Fiorillo E, de Craen AJM, Grotevendt A, Scott R, Taylor KD, Delgado GE, Yao J, Kifley A, Kooperberg C, Qayyum R, Lopez LM, Berentzen TL, Räikkönen K, Mangino M, Bandinelli S, Peyser PA, Wild S, Trégouët DA, Wright AF, Marten J, Zemunik T, Morrison AC, Sennblad B, Tofler G, de Maat MPM, de Geus EJC, Lowe GD, Zoledziewska M, Sattar N, Binder H, Völker U, Waldenberger M, Khaw KT, Mcknight B, Huang J, Jenny NS, Holliday EG, Qi L, Mcevoy MG, Becker DM, Starr JM, Sarin AP, Hysi PG, Hernandez DG, Jhun MA, Campbell H, Hamsten A, Rivadeneira F, Mcardle WL, Slagboom PE, Zeller T, Koenig W, Psaty BM, Haritunians T, Liu J, Palotie A, Uitterlinden AG, Stott DJ, Hofman A, Franco OH, Polasek O, Rudan I, Morange PE, Wilson JF, Kardia SLR, Ferrucci L, Spector TD, Eriksson JG, Hansen T, Deary IJ, Becker LC, Scott RJ, Mitchell P, März W, Wareham NJ, Peters A, Greinacher A, Wild PS, Jukema JW, Boomsma DI, Hayward C, Cucca F, Tracy R, Watkins H, Reiner AP, Folsom AR, Ridker PM, O'Donnell CJ, Smith NL, Strachan DP, Dehghan A. A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration. Hum Mol Genet 2015; 25:358-70. [PMID: 26561523 DOI: 10.1093/hmg/ddv454] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Accepted: 10/27/2015] [Indexed: 12/11/2022] Open
Abstract
Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including ∼120 000 participants of European ancestry (95 806 participants with data on the X-chromosome). Approximately 10.7 million single-nucleotide polymorphisms and 1.2 million indels were examined. We identified 41 genome-wide significant fibrinogen loci; of which, 18 were newly identified. There were no genome-wide significant signals on the X-chromosome. The lead variants of five significant loci were indels. We further identified six additional independent signals, including three rare variants, at two previously characterized loci: FGB and IRF1. Together the 41 loci explain 3% of the variance in plasma fibrinogen concentration.
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Affiliation(s)
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA, Harvard Medical School, Boston, MA, USA
| | - Maria Sabater-Lleal
- Department of Medicine, Cardiovascular Genetics and Genomics Group, Atherosclerosis Research Unit and
| | - Ming-Huei Chen
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA, Framingham Heart Study, Population Sciences Branch, Division of Intramural Research National Heart Lung and Blood Institute, National Institutes of Health, Framingham, MA, USA
| | - Jennifer E Huffman
- Framingham Heart Study, Population Sciences Branch, Division of Intramural Research National Heart Lung and Blood Institute, National Institutes of Health, Framingham, MA, USA, MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine
| | - Maristella Steri
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionaledelle Ricerche, Monserrato, Cagliari, Italy
| | - Weihong Tang
- Division of Epidemiology and Community Health and
| | | | - Riccardo E Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, Centre for Genomic and Experimental Medicine, Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | | | - Jouke J Hottenga
- Department of Biological Psychology, Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - Stella Trompet
- Department of Cardiology, Department of Gerontology and Geriatrics and
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany, DZHK (German Centre for Cardiovascular Research) and
| | - Jing Hua Zhao
- MRC Epidemiology Unit, School of Clinical Medicine and
| | | | - Marcus E Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor/UCLA Medical Center, Torrance, CA, USA
| | - Jie Jin Wang
- Department of Ophthalmology, Centre for Vision Research, Westmead Millennium Institute for Medical Research, University of Sydney, Sydney, Australia
| | - Paul L Auer
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - John R Attia
- Public Health Stream and School of Medicine and Public Health and
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tarunveer S Ahluwalia
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences and Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark, The Danish Pediatric Asthma Center, Gentofte Hospital, The Capital Region, Copenhagen, Denmark
| | - Jari Lahti
- Institute of Behavioural Sciences, Folkhälsan Research Centre, Helsinki, Finland
| | - Cristina Venturini
- Institute of Opthalmology, UCL, London, UK, Department of Twin Research and Genetic Epidemiology, Kings College London, London, UK
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Lawrence F Bielak
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Peter K Joshi
- Centre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics
| | - Ares Rocanin-Arjo
- Institut National pour la Santé et la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1166, Paris F-75013, France, Sorbonne Universités, Université Pierre et Marie Curie (UPMC Univ Paris 06), UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris F-75013, France, Institute for Cardiometabolism and Nutrition (ICAN), Paris F-75013, France
| | - Ivana Kolcic
- Department of Public Health, Faculty of Medicine
| | - Pau Navarro
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine
| | - Lynda M Rose
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | | | - Johanna Mazur
- Institute of Medical Biostatistics, Epidemiology and Informatics and
| | - Saonli Basu
- Division of Biostatistics, University of Minnesota, Minneapolis, MN, USA
| | - Anuj Goel
- Cardiovascular Medicine Department/Radcliffe Department of Medicine, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Qiong Yang
- Framingham Heart Study, Population Sciences Branch, Division of Intramural Research National Heart Lung and Blood Institute, National Institutes of Health, Framingham, MA, USA, Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Mohsen Ghanbari
- Department of Epidemiology, Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Gonneke Willemsen
- Department of Biological Psychology, Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - Ann Rumley
- Institute of Cardiovascular and Medical Sciences and
| | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionaledelle Ricerche, Monserrato, Cagliari, Italy
| | | | | | - Robert Scott
- MRC Epidemiology Unit, School of Clinical Medicine and
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences and
| | - Graciela E Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences and
| | - Annette Kifley
- Department of Ophthalmology, Centre for Vision Research, Westmead Millennium Institute for Medical Research, University of Sydney, Sydney, Australia
| | | | - Rehan Qayyum
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Lorna M Lopez
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychiatry, Royal College of Surgeons in Ireland, Education and Research Centre, Beaumont Hospital, Dublin, Ireland, University College Dublin, UCD Conway Institute, Centre for Proteome Research, UCD, Belfield, Dublin, Ireland
| | - Tina L Berentzen
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | | | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, UK
| | | | - Patricia A Peyser
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Sarah Wild
- Centre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics
| | - David-Alexandre Trégouët
- Institut National pour la Santé et la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1166, Paris F-75013, France, Sorbonne Universités, Université Pierre et Marie Curie (UPMC Univ Paris 06), UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris F-75013, France, Institute for Cardiometabolism and Nutrition (ICAN), Paris F-75013, France
| | - Alan F Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine
| | - Jonathan Marten
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine
| | | | - Alanna C Morrison
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Bengt Sennblad
- Department of Medicine, Cardiovascular Genetics and Genomics Group, Atherosclerosis Research Unit and Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
| | - Geoffrey Tofler
- Royal North Shore Hospital, Sydney University, Sydney, Australia
| | | | - Eco J C de Geus
- Department of Biological Psychology, Netherlands Twin Register, VU University, Amsterdam, The Netherlands, EMGO+ institute, VU University & VU Medical Center, Amsterdam
| | - Gordon D Lowe
- Institute of Cardiovascular and Medical Sciences and
| | - Magdalena Zoledziewska
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionaledelle Ricerche, Monserrato, Cagliari, Italy
| | - Naveed Sattar
- Faculty of Medicine, BHF Glasgow Cardiovascular Research Centre, Glasgow, UK
| | - Harald Binder
- Institute of Medical Biostatistics, Epidemiology and Informatics and
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics and
| | - Melanie Waldenberger
- Institute of Epidemiology II and Research Unit of Molecular Epidemiology, Helmholtz ZentrumMünchen - German Research Center for Environmental Health, Neuherberg, Germany
| | - Kay-Tee Khaw
- Clinical Gerontology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | | | - Jie Huang
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | | | - Elizabeth G Holliday
- Public Health Stream, Hunter Medical Research Institute, School of Medicine and Public Health and
| | - Lihong Qi
- Division of Biostatistics, Department of Public Health Sciences, UC Davis, Davis, CA, USA
| | - Mark G Mcevoy
- School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
| | - Diane M Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, Alzheimer Scotland Dementia Research Centre and
| | - Antti-Pekka Sarin
- Institute for Molecular Medicine Finland (FIMM) and Public Health Genomics Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Pirro G Hysi
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, UK
| | - Dena G Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Min A Jhun
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics
| | - Anders Hamsten
- Department of Medicine, Cardiovascular Genetics and Genomics Group, Atherosclerosis Research Unit and
| | - Fernando Rivadeneira
- Department of Epidemiology, Department of Internal Medicine, Erasmus MC, Wytemaweg 80, Rotterdam, The Netherlands
| | - Wendy L Mcardle
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Tanja Zeller
- Department of General and Interventional Cardiology, University Heart Centre, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, German Center for Cardiovascular Research (DZHK), Partner Site Hamburg, Lübeck, Kiel, Hamburg, Germany
| | - Wolfgang Koenig
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany, Department of Internal Medicine II - Cardiology, University of Ulm Medical Centre, Ulm, Germany, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
| | - Bruce M Psaty
- Department of Medicine, Epidemiology, and Health Services and Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - Talin Haritunians
- Inflammatory Bowel & Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jingmin Liu
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - André G Uitterlinden
- Department of Epidemiology, Department of Internal Medicine, Erasmus MC, Wytemaweg 80, Rotterdam, The Netherlands
| | - David J Stott
- Institute of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, Glasgow, UK
| | | | | | - Ozren Polasek
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, Department of Public Health, Faculty of Medicine, Centre for Global Health, University of Split, Split, Croatia
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics
| | - Pierre-Emmanuel Morange
- Laboratory of Haematology, La Timone Hospital, Marseille F-13385, France, INSERM, UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Marseille F-13385, France, Aix-Marseille University, UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Marseille F-13385, France
| | - James F Wilson
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, UK
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland, Folkhälsan Research Centre, Helsinki, Finland, National Institute for Health and Welfare, Helsinki, Finland, Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland
| | - Torben Hansen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences and
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Lewis C Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Rodney J Scott
- Information based Medicine Program, Hunter Medical Research Institute, New Lambton Heights, Australia, School of Biomedical Sciences and Pharmacy, University of Newcastle, New Lambton Heights, Australia
| | - Paul Mitchell
- Department of Ophthalmology, Centre for Vision Research, Westmead Millennium Institute for Medical Research, University of Sydney, Sydney, Australia
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, Synlab Academy, Synlab Services LLC, Mannheim, Germany, Clinical Institute of Medical, Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | | | - Annette Peters
- Institute of Epidemiology II and DZHK (German Centre for Cardiovascular Research) and
| | - Andreas Greinacher
- Institute for Immunology and Transfusion Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Philipp S Wild
- Center for Thrombosis and Hemostasis (CTH), Preventive Cardiology and Preventive Medicine, Department of Medicine 2, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany, German Center for Cardiovascular Research (DZHK), Partner Site RheinMain, Mainz, Germany
| | - J Wouter Jukema
- Department of Cardiology, Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands, Interuniversity Cardiology Institute of The Netherlands, Utrecht, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionaledelle Ricerche, Monserrato, Cagliari, Italy
| | - Russell Tracy
- Department of Pathology and Laboratory Medicine, Center for Clinical and Translational Sciences, University of Vermont College of Medicine, Colchester, VT, USA
| | - Hugh Watkins
- Cardiovascular Medicine Department/Radcliffe Department of Medicine, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Alex P Reiner
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA, University of Washington, Seattle, WA, USA
| | | | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA, Harvard Medical School, Boston, MA, USA
| | - Christopher J O'Donnell
- Framingham Heart Study, Population Sciences Branch, Division of Intramural Research National Heart Lung and Blood Institute, National Institutes of Health, Framingham, MA, USA, National Heart, Lung and Blood Institute, Division of Intramural Research, Cardiology Division, Massachusetts General Hospital, Boston, MA, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA, Institute of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, Glasgow, UK, Department of Veterans Affairs, Office of Research and Development, Seattle Epidemiologic Research and Information Center, Seattle, WA, USA and
| | - David P Strachan
- Population Health Research Institute, St George's University of London, London, UK
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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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Prediabetes is associated with HNF-4 α P2 promoter polymorphism rs1884613: a case-control study in Han Chinese population and an updated meta-analysis. DISEASE MARKERS 2014; 2014:231736. [PMID: 25400315 PMCID: PMC4226192 DOI: 10.1155/2014/231736] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2014] [Accepted: 09/11/2014] [Indexed: 11/18/2022]
Abstract
BACKGROUND Controversy remains for the association between hepatocyte nuclear factor 4α (HNF-4α) P2 promoter polymorphism rs1884613 and type 2 diabetes (T2D). There was no association test of this polymorphism with prediabetes and T2D in the Chinese population. Moreover, an updated meta-analysis in various ethnic groups is needed to establish the contribution of rs1884613 to T2D risk. METHODS Using the Sequenom MassARRAY platform approach, we genotyped rs1884613 of HNF-4α in the P2 promoter region among 490 T2D patients, 471 individuals with prediabetes, and 575 healthy controls. All the individuals were recruited from 16 community health service centers in Nanshan district in Shenzhen province. Using STATA 11.0 software, meta-analysis was performed to summarize the overall contribution of rs1884613 to T2D risk. RESULTS Polymorphism rs1884613 was associated with genetic susceptibility to prediabetes in the whole samples (OR = 1.40, 95% CI = 1.16-1.68, P = 0.0001) and the female subgrouped samples (OR = 1.48, 95% CI = 1.14-1.92, P = 0.003) after adjusting for age and body mass index (BMI). In contrast, there was no association of rs1884613 with T2D in the whole samples and male in our case-control study and meta-analysis. CONCLUSIONS Our results suggest that rs1884613 contributes to susceptibility to prediabetes, whereas this polymorphism may not play an important role in the development of T2D.
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Colclough K, Bellanne-Chantelot C, Saint-Martin C, Flanagan SE, Ellard S. Mutations in the genes encoding the transcription factors hepatocyte nuclear factor 1 alpha and 4 alpha in maturity-onset diabetes of the young and hyperinsulinemic hypoglycemia. Hum Mutat 2013; 34:669-85. [PMID: 23348805 DOI: 10.1002/humu.22279] [Citation(s) in RCA: 141] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2012] [Accepted: 01/08/2013] [Indexed: 12/16/2022]
Abstract
Maturity-onset diabetes of the young (MODY) is a monogenic disorder characterized by autosomal dominant inheritance of young-onset (typically <25 years), noninsulin-dependent diabetes due to defective insulin secretion. MODY is both clinically and genetically heterogeneous with mutations in at least 10 genes. Mutations in the HNF1A gene encoding hepatocyte nuclear factor-1 alpha are the most common cause of MODY in most adult populations studied. The number of different pathogenic HNF1A mutations totals 414 in 1,247 families. Mutations in the HNF4A gene encoding hepatocyte nuclear factor-4 alpha are a rarer cause of MODY with 103 different mutations reported in 173 families to date. Sensitivity to treatment with sulfonylurea tablets is a feature of both HNF1A and HNF4A mutations. The HNF4A MODY phenotype has been expanded by the reports of macrosomia in ∼50% of babies, and more rarely, neonatal hyperinsulinemic hypoglycemia. The identification of an HNF1A or HNF4A gene mutation has important implications for clinical management in diabetes and pregnancy, but MODY is significantly underdiagnosed. Current research is focused on identifying biomarkers and developing probability models to identify those patients most likely to have MODY, until next generation sequencing technology enables cost-effective gene analysis for all patients with young onset diabetes.
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Affiliation(s)
- Kevin Colclough
- Department of Molecular Genetics, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
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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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Abstract
This review aims to provide a snapshot of the actual state of knowledge on genetic variants of nuclear receptors (NR) involved in regulating important aspects of liver metabolism. It recapitulates recent evidence for the application of NR in genetic diagnosis of monogenic ("Mendelian") liver disease and their use in clinical diagnosis. Genetic analysis of multifactorial liver diseases such as viral hepatitis or fatty liver disease identifies key players in disease predisposition and progression. Evidence from these analyses points towards a role of NR polymorphisms in common diseases, linking regulatory networks to complex and variable phenotypes. The new insights into NR variants also offer perspectives and cautionary advice for their use as handles towards diagnosis and treatment.
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Affiliation(s)
- Roman Müllenbach
- Department of Medicine II, Saarland University Medical Center, 66421 Homburg, Germany
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13
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Abstract
This review aims to provide a snapshot of the actual state of knowledge on genetic variants of nuclear receptors (NR) involved in regulating important aspects of liver metabolism. It recapitulates recent evidence for the application of NR in genetic diagnosis of monogenic (“Mendelian”) liver disease and their use in clinical diagnosis. Genetic analysis of multifactorial liver diseases such as viral hepatitis or fatty liver disease identifies key players in disease predisposition and progression. Evidence from these analyses points towards a role of NR polymorphisms in common diseases, linking regulatory networks to complex and variable phenotypes. The new insights into NR variants also offer perspectives and cautionary advice for their use as handles towards diagnosis and treatment.
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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: 24] [Impact Index Per Article: 1.8] [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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Association of genomic loci from a cardiovascular gene SNP array with fibrinogen levels in European Americans and African-Americans from six cohort studies: the Candidate Gene Association Resource (CARe). Blood 2010; 117:268-75. [PMID: 20978265 DOI: 10.1182/blood-2010-06-289546] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Several common genomic loci, involving various immunity- and metabolism-related genes, have been associated with plasma fibrinogen in European Americans (EAs). The genetic determinants of fibrinogen in African Americans (AAs) are poorly characterized. Using a vascular gene-centric array in 23,634 EA and 6657 AA participants from 6 studies comprising the Candidate Gene Association Resource project, we examined the association of 47,539 common and lower frequency variants with fibrinogen concentration. We identified a rare Pro265Leu variant in FGB (rs6054) associated with lower fibrinogen. Common fibrinogen gene single nucleotide polymorphisms (FGB rs1800787 and FGG rs2066861) significantly associated with fibrinogen in EAs were prevalent in AAs and showed consistent associations. Several fibrinogen locus single nucleotide polymorphism associated with lower fibrinogen were exclusive to AAs; these include a newly reported association with FGA rs10050257. For IL6R, IL1RN, and NLRP3 inflammatory gene loci, associations with fibrinogen were concordant between EAs and AAs, but not at other loci (CPS1, PCCB, and SCL22A5-IRF1). The association of FGG rs2066861 with fibrinogen differed according to assay type used to measure fibrinogen. Further characterization of common and lower-frequency genetic variants that contribute to interpopulation differences in fibrinogen phenotype may help refine our understanding of the contribution of hemostasis and inflammation to atherothrombotic risk.
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Teo YY, Sim X. Patterns of linkage disequilibrium in different populations: implications and opportunities for lipid-associated loci identified from genome-wide association studies. Curr Opin Lipidol 2010; 21:104-15. [PMID: 20125009 DOI: 10.1097/mol.0b013e3283369e5b] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Genome-wide association studies across numerous populations have uncovered a remarkable number of loci implicated with lipid-related traits. The association signals at a number of these loci have been successfully replicated across multiple populations, but a fraction failed to be reproduced when tested in other populations. The present review examines the patterns of linkage disequilibrium at these lipid-associated loci and the implications to replication studies, meta-analyses and fine-mapping efforts across multiple populations. RECENT FINDINGS The extent of linkage disequilibrium has been well established to differ across populations, particularly between African and non-African groups. A novel strategy has been developed for assessing interpopulation variations in regional patterns of linkage disequilibrium. This approach has been applied to the genomes of populations in public databases, identifying regions where linkage disequilibrium is considerably different, some of which exist in regions associated with phenotypic variation. It has been shown that such diversity in linkage disequilibrium can challenge replication studies and meta-analyses while benefiting the pursuit for the functional variants in fine-mapping studies. SUMMARY The next phases in genome-wide studies aim to reproduce the emerging association signals across different populations and to identify the functional variants directly responsible for these signals. Recent publications are beginning to yield valuable insights into the unique challenges and opportunities presented by both consistent and varying patterns of linkage disequilibrium in these follow-up phases.
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Affiliation(s)
- Yik-Ying Teo
- Department of Statistics and Applied Probability, Singapore.
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Boyd M, Bressendorff S, Møller J, Olsen J, Troelsen JT. Mapping of HNF4alpha target genes in intestinal epithelial cells. BMC Gastroenterol 2009; 9:68. [PMID: 19761587 PMCID: PMC2761415 DOI: 10.1186/1471-230x-9-68] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2009] [Accepted: 09/17/2009] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The role of HNF4alpha has been extensively studied in hepatocytes and pancreatic beta-cells, and HNF4alpha is also regarded as a key regulator of intestinal epithelial cell differentiation. The aim of the present work is to identify novel HNF4alpha target genes in the human intestinal epithelial cells in order to elucidate the role of HNF4alpha in the intestinal differentiation progress. METHODS We have performed a ChIP-chip analysis of the human intestinal cell line Caco-2 in order to make a genome-wide identification of HNF4alpha binding to promoter regions. The HNF4alpha ChIP-chip data was matched with gene expression and histone H3 acetylation status of the promoters in order to identify HNF4alpha binding to actively transcribed genes with an open chromatin structure. RESULTS 1,541 genes were identified as potential HNF4alpha targets, many of which have not previously been described as being regulated by HNF4alpha. The 1,541 genes contributed significantly to gene ontology (GO) pathways categorized by lipid and amino acid transport and metabolism. An analysis of the homeodomain transcription factor Cdx-2 (CDX2), the disaccharidase trehalase (TREH), and the tight junction protein cingulin (CGN) promoters verified that these genes are bound by HNF4alpha in Caco2 cells. For the Cdx-2 and trehalase promoters the HNF4alpha binding was verified in mouse small intestine epithelium. CONCLUSION The HNF4alpha regulation of the Cdx-2 promoter unravels a transcription factor network also including HNF1alpha, all of which are transcription factors involved in intestinal development and gene expression.
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Affiliation(s)
- Mette Boyd
- Department of Cellular and Molecular Medicine, Panum Institute, Building 6,4, University of Copenhagen, Blegdamsvej 3B 2200 Copenhagen N, Denmark.
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Kathiresan S, Willer CJ, Peloso GM, Demissie S, Musunuru K, Schadt EE, Kaplan L, Bennett D, Li Y, Tanaka T, Voight BF, Bonnycastle LL, Jackson AU, Crawford G, Surti A, Guiducci C, Burtt NP, Parish S, Clarke R, Zelenika D, Kubalanza KA, Morken MA, Scott LJ, Stringham HM, Galan P, Swift AJ, Kuusisto J, Bergman RN, Sundvall J, Laakso M, Ferrucci L, Scheet P, Sanna S, Uda M, Yang Q, Lunetta KL, Dupuis J, de Bakker PIW, O'Donnell CJ, Chambers JC, Kooner JS, Hercberg S, Meneton P, Lakatta EG, Scuteri A, Schlessinger D, Tuomilehto J, Collins FS, Groop L, Altshuler D, Collins R, Lathrop GM, Melander O, Salomaa V, Peltonen L, Orho-Melander M, Ordovas JM, Boehnke M, Abecasis GR, Mohlke KL, Cupples LA. Common variants at 30 loci contribute to polygenic dyslipidemia. Nat Genet 2009; 41:56-65. [PMID: 19060906 PMCID: PMC2881676 DOI: 10.1038/ng.291] [Citation(s) in RCA: 1077] [Impact Index Per Article: 71.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2008] [Accepted: 10/28/2008] [Indexed: 02/03/2023]
Abstract
Blood low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol and triglyceride levels are risk factors for cardiovascular disease. To dissect the polygenic basis of these traits, we conducted genome-wide association screens in 19,840 individuals and replication in up to 20,623 individuals. We identified 30 distinct loci associated with lipoprotein concentrations (each with P < 5 x 10(-8)), including 11 loci that reached genome-wide significance for the first time. The 11 newly defined loci include common variants associated with LDL cholesterol near ABCG8, MAFB, HNF1A and TIMD4; with HDL cholesterol near ANGPTL4, FADS1-FADS2-FADS3, HNF4A, LCAT, PLTP and TTC39B; and with triglycerides near AMAC1L2, FADS1-FADS2-FADS3 and PLTP. The proportion of individuals exceeding clinical cut points for high LDL cholesterol, low HDL cholesterol and high triglycerides varied according to an allelic dosage score (P < 10(-15) for each trend). These results suggest that the cumulative effect of multiple common variants contributes to polygenic dyslipidemia.
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Affiliation(s)
- Sekar Kathiresan
- Cardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
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Chen R, Morgan AA, Dudley J, Deshpande T, Li L, Kodama K, Chiang AP, Butte AJ. FitSNPs: highly differentially expressed genes are more likely to have variants associated with disease. Genome Biol 2008; 9:R170. [PMID: 19061490 PMCID: PMC2646274 DOI: 10.1186/gb-2008-9-12-r170] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2008] [Revised: 09/26/2008] [Accepted: 12/05/2008] [Indexed: 12/18/2022] Open
Abstract
Differential expressed genes are more likely to have variants associated with disease. A new tool, fitSNP, prioritizes candidate SNPs from association studies. Background Candidate single nucleotide polymorphisms (SNPs) from genome-wide association studies (GWASs) were often selected for validation based on their functional annotation, which was inadequate and biased. We propose to use the more than 200,000 microarray studies in the Gene Expression Omnibus to systematically prioritize candidate SNPs from GWASs. Results We analyzed all human microarray studies from the Gene Expression Omnibus, and calculated the observed frequency of differential expression, which we called differential expression ratio, for every human gene. Analysis conducted in a comprehensive list of curated disease genes revealed a positive association between differential expression ratio values and the likelihood of harboring disease-associated variants. By considering highly differentially expressed genes, we were able to rediscover disease genes with 79% specificity and 37% sensitivity. We successfully distinguished true disease genes from false positives in multiple GWASs for multiple diseases. We then derived a list of functionally interpolating SNPs (fitSNPs) to analyze the top seven loci of Wellcome Trust Case Control Consortium type 1 diabetes mellitus GWASs, rediscovered all type 1 diabetes mellitus genes, and predicted a novel gene (KIAA1109) for an unexplained locus 4q27. We suggest that fitSNPs would work equally well for both Mendelian and complex diseases (being more effective for cancer) and proposed candidate genes to sequence for their association with 597 syndromes with unknown molecular basis. Conclusions Our study demonstrates that highly differentially expressed genes are more likely to harbor disease-associated DNA variants. FitSNPs can serve as an effective tool to systematically prioritize candidate SNPs from GWASs.
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Affiliation(s)
- Rong Chen
- Stanford Center for Biomedical Informatics Research, 251 Cmpus Drive, Stanford, CA 94305, USA.
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20
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Lee SS, Cha EY, Jung HJ, Shon JH, Kim EY, Yeo CW, Shin JG. Genetic polymorphism of hepatocyte nuclear factor-4alpha influences human cytochrome P450 2D6 activity. Hepatology 2008; 48:635-45. [PMID: 18666237 DOI: 10.1002/hep.22396] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
UNLABELLED Hepatocyte nuclear factor-4 alpha (HNF4A) is an essential transcriptional regulator for many genes that are expressed preferentially in the liver. Among the important functions of the liver is drug metabolism in response to xenobiotic exposure. Recent studies have suggested that HNF4A regulates the expression of cytochrome P450 (CYP), including CYP2D6 and CYP3A4, which show large individual variations in their activities. To understand the genetic factors that influence individual CYP activities, a genetic variant of HNF4A and the effects of genetic variants of HNF4A on CYP activity were investigated. Here, we report the identification of a novel coding variant of HNF4A that influences CYP2D6 activity in humans. After direct sequencing, a polymorphism search revealed the HNF4A G60D variant in Koreans. This variant was unable to bind to the recognition site in the CYP2D6 promoter and therefore lacked the regulatory function for this gene. Human liver specimens with the heterozygous HNF4A G60D genotype showed a tendency toward lower levels of CYP2D6 activity than the wild-type genotype in the same genetic background of CYP2D6. Furthermore, human subjects with the HNF4A G60D genotype tended to have lower CYP2D6 activity than those with the wild-type HNF4A. The HNF4A G60D variant was detected at low frequency in Asian populations, including Koreans, Chinese, and Vietnamese, and was not found in Africans or Caucasians. CONCLUSION This is the first report to show that the genetic polymorphism of liver-enriched nuclear receptor HNF4A influences downstream CYP2D6 function in human subjects.
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Affiliation(s)
- Sang Seop Lee
- Pharmacogenimics Research Center, Inje University College of Medicine, Busanjin-gu, Busan, Korea
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21
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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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22
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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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Rahib L, MacLennan NK, Horvath S, Liao JC, Dipple KM. Glycerol kinase deficiency alters expression of genes involved in lipid metabolism, carbohydrate metabolism, and insulin signaling. Eur J Hum Genet 2007; 15:646-57. [PMID: 17406644 DOI: 10.1038/sj.ejhg.5201801] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Glycerol kinase (GK) is at the interface of fat and carbohydrate metabolism and has been implicated in insulin resistance and type 2 diabetes mellitus. To define GK's role in insulin resistance, we examined gene expression in brown adipose tissue in a glycerol kinase knockout (KO) mouse model using microarray analysis. Global gene expression profiles of KO mice were distinct from wild type with 668 differentially expressed genes. These include genes involved in lipid metabolism, carbohydrate metabolism, insulin signaling, and insulin resistance. Real-time polymerase chain reaction analysis confirmed the differential expression of selected genes involved in lipid and carbohydrate metabolism. PathwayAssist analysis confirmed direct and indirect connections between glycerol kinase and genes in lipid metabolism, carbohydrate metabolism, insulin signaling, and insulin resistance. Network component analysis (NCA) showed that the transcription factors (TFs) PPAR-gamma, SREBP-1, SREBP-2, STAT3, STAT5, SP1, CEBPalpha, CREB, GR and PPAR-alpha have altered activity in the KO mice. NCA also revealed the individual contribution of these TFs on the expression of genes altered in the microarray data. This study elucidates the complex network of glycerol kinase and further confirms a possible role for glycerol kinase deficiency, a simple Mendelian disorder, in insulin resistance, and type 2 diabetes mellitus, a common complex genetic disorder.
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Affiliation(s)
- Lola Rahib
- Biomedical Engineering, Interdepartmental Program, Henry Samueli School of Engineering and Applied Science at UCLA, Los Angeles, CA 90095, USA
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24
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Bibliography. Current world literature. Diabetes and the endocrine pancreas. Curr Opin Endocrinol Diabetes Obes 2007; 14:170-96. [PMID: 17940437 DOI: 10.1097/med.0b013e3280d5f7e9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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25
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Jensen DP, Andreasen CH, Andersen MK, Hansen L, Eiberg H, Borch-Johnsen K, Jørgensen T, Hansen T, Pedersen O. The functional Pro129Thr variant of the FAAH gene is not associated with various fat accumulation phenotypes in a population-based cohort of 5,801 whites. J Mol Med (Berl) 2007; 85:445-9. [PMID: 17216208 DOI: 10.1007/s00109-006-0139-0] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2006] [Revised: 10/17/2006] [Accepted: 11/07/2006] [Indexed: 01/22/2023]
Abstract
Food intake and weight gain are influenced by endocannabinoids whose actions are regulated by the fatty acid amide hydrolase (FAAH) enzyme. The homozygous Thr/Thr genotype of the functional Pro129Thr variant (rs324420) in the gene encoding FAAH was recently reported to associate with overweight and obesity in white and black populations. We investigated the Pro129Thr variant in relation to overweight and obesity in a relatively large population-based study sample of Danish whites (n=5,801). In case-control studies of obesity, a borderline association with the major Pro allele was identified; however, after correction for multiple testing, no association was found. Furthermore, a possible association between the major Pro allele and obesity was not supported by studies of obesity-related quantitative traits. In conclusion, in a large study sample, we were unable to find robust evidence of an association of the Pro129Thr FAAH variant with overweight, obesity, and any related quantitative traits among the examined whites.
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Affiliation(s)
- Dorit P Jensen
- Steno Diabetes Center, Niels Steensens Vej 2, 2820, Gentofte, Denmark.
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Jensen DP, Urhammer SA, Eiberg H, Borch-Johnsen K, Jørgensen T, Hansen T, Pedersen O. Variation in CAPN10 in relation to type 2 diabetes, obesity and quantitative metabolic traits: studies in 6018 whites. Mol Genet Metab 2006; 89:360-7. [PMID: 16857402 DOI: 10.1016/j.ymgme.2006.06.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2006] [Accepted: 06/06/2006] [Indexed: 11/18/2022]
Abstract
The first type 2 diabetes (T2D) gene to be identified in a genome wide scan followed by positional cloning was CAPN10 encoding the cysteine protease calpain-10. Subsequently, a large number of studies have investigated variation in CAPN10 in relation to T2D. Two CAPN10 single nucleotide polymorphisms (SNPs), the SNP43 (rs3792267) and the SNP44 (rs2975760), have been associated with T2D in some, but not all studies conducted in a wide range of ethnicities. We investigated the two SNPs for association with T2D in a relatively large, homogenous population of Danish whites (n = 1359 T2D cases, n = 4659 normoglycemic and glucose-tolerant control subjects), however, no significant associations of the SNP43 or the SNP44 variant with T2D were found. Neither were the two variants associated with obesity, and no association of either variant with diabetes-related quantitative traits was found in a study involving a population-based sample of 5698 middle-aged subjects. Meta-analyses, however, of the present and previously published studies involving 15,368 (SNP43) or 13,628 (SNP44) subjects yielded odds ratios of 1.09 (95% CI 1.02-1.16, p = 0.007) and 1.15 (1.07-1.23, p = 0.0002), respectively, for association with T2D. In conclusion, in a relatively large study sample of whites we found no consistent evidence of association of the CAPN10 SNP43 or SNP44 with T2D, obesity, or related quantitative traits, although meta-analyses of these two CAPN10 SNPs demonstrated an association with T2D.
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Affiliation(s)
- Dorit P Jensen
- Steno Diabetes Center, Niels Steensens Vej 2, DK-2820 Gentofte, Copenhagen, Denmark.
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27
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Wegner L, Andersen G, Albrechtsen A, Sparsø T, Glümer C, Borch-Johnsen K, Jørgensen T, Hansen T, Pedersen O. Large-scale study of the -232C > G polymorphism of PCK1 in Type 2 diabetes. Diabet Med 2006; 23:1140-4. [PMID: 16978381 DOI: 10.1111/j.1464-5491.2006.01926.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
AIMS Phosphoenolpyruvate carboxykinase (PEPCK) is a catalyst of the rate-limiting step in the gluconeogenic pathway and is regulated at the transcriptional level predominantly by insulin, glucocorticoids, glucagon, and cAMP. The -232C > G polymorphism in the gene encoding PEPCK (PCK1) is reported to associate with Type 2 diabetes in Canadian Caucasians and Oji-Cree populations. We have estimated the impact of the PCK1-232C > G polymorphism in a relatively large-scale case-control study of Type 2 diabetes and in association studies of common metabolic phenotypes. Interaction studies of the PCK1-232C > G polymorphism with variants in the genes encoding peroxisome proliferator-activated receptor-gamma co-activator (PGC)-1alpha and hepatic nuclear factor (HNF)-4alpha were also performed. METHODS PCK1-232C > G was genotyped in a total of 7467 Danish white subjects using TaqMan allelic discrimination. A case-control study of Type 2 diabetes was performed using 6057 of the participants, and quantitative trait studies of metabolic variables were carried out in a subgroup of 5718 non-diabetic subjects. Additionally, variants in PGC-1alpha (Gly482Ser) and HNF-4alpha (Thr130Ile, Val255Met, and rs1884614) were investigated for epistatic interaction with the PCK1-232C > G polymorphism. RESULTS In the case-control study of Type 2 diabetes of 1377 Type 2 diabetic patients and 4680 normoglycaemic and normal glucose-tolerant subjects we found no association of the PCK1-232C > G polymorphism with diabetes. In addition, the variant was not associated with age of clinical onset of Type 2 diabetes. In the study of 5718 non-diabetic subjects, we found no relationships of quantitative metabolic traits with the PCK1-232C > G polymorphism. We failed to demonstrate any convincing epistatic effects of the variants in the genes encoding PGC-1alpha and HNF-4alpha with the PCK1-232C > G polymorphism. CONCLUSIONS The PCK1-232C > G polymorphism is not a major contributor to the pathogenesis of Type 2 diabetes in the Danish population.
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Affiliation(s)
- L Wegner
- Steno Diabetes Center, Gentofte, Denmark.
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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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Ek J, Hansen SP, Lajer M, Nicot C, Boesgaard TW, Pruhova S, Johansen A, Albrechtsen A, Yderstraede K, Lauenborg J, Parrizas M, Boj SF, Jørgensen T, Borch-Johnsen K, Damm P, Ferrer J, Lebl J, Pedersen O, Hansen T. A novel -192c/g mutation in the proximal P2 promoter of the hepatocyte nuclear factor-4 alpha gene (HNF4A) associates with late-onset diabetes. Diabetes 2006; 55:1869-73. [PMID: 16731855 DOI: 10.2337/db05-1684] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Recently, it has been shown that mutations in the P2 promoter of the hepatocyte nuclear factor (HNF)-4 alpha gene (HNF4A) cause maturity-onset diabetes of the young (MODY), while single nucleotide polymorphisms in this locus are associated with type 2 diabetes. In this study, we examined 1,189 bp of the P2 promoter and the associated exon 1D of HNF4A for variations associated with diabetes in 114 patients with type 2 diabetes, 72 MODYX probands, and 85 women with previous gestational diabetes mellitus. A -192c/g mutation was found in five patients. We screened 1,587 diabetic subjects and 4,812 glucose-tolerant subjects for the -192c/g mutation and identified 5 diabetic and 1 glucose-tolerant mutation carriers (P=0.004). Examination of the families showed that carriers of the -192c/g mutation had a significantly impaired glucose-stimulated insulin release and lower levels of serum total cholesterol compared with matched control subjects. Furthermore, the mutation disrupted the binding of an unidentified sequence-specific DNA binding complex present in human islet extracts. Also, two novel linked polymorphisms in the P2 promoter at positions -1107g/t and -858c/t were identified. These variants were not significantly associated with type 2 diabetes or any pre-diabetic traits. In conclusion, a rare, novel mutation that disrupts a protein binding site in the pancreatic HNF4A promoter associates with late-onset diabetes.
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Affiliation(s)
- Jakob Ek
- Steno Diabetes Center and Hagedorn Research Institute, Gentofte, Denmark
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Abstract
PURPOSE OF REVIEW Familial combined hyperlipidemia is a common complex disease that accounts for up to 20% of premature coronary heart disease. The upstream transcription factor 1, located on 1q21, was recently shown to be linked and associated with familial combined hyperlipidemia in Finnish families. Upstream transcription factor 1 is the first gene identified by positional cloning for familial combined hyperlipidemia. Replication studies are critical to investigation of complex diseases because only they can verify the importance of the original findings. We review recent studies that examine the genetic contribution and functional consequence of upstream transcription factor 1 variants to familial combined hyperlipidemia and type 2 diabetes mellitus. Aiming beyond upstream transcription factor 1, we also evaluate novel strategies that have made it possible to globally examine the genome and the transcriptome. RECENT FINDINGS Three independent studies support the role of upstream transcription factor 1 in familial combined hyperlipidemia. The results for type 2 diabetes mellitus and the metabolic syndrome have been less conclusive highlight novel strategies for gene identification in familial combined hyperlipidemia. SUMMARY Currently, genetic and functional evidence is supportive of a role for upstream transcription factor 1 in the etiology of familial combined hyperlipidemia and its component traits, although the mechanism of causality still remains largely unknown.
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Affiliation(s)
- Jenny C Lee
- Department of Human Genetics bDepartment of Medicine/Division of Cardiology, University of California Los Angeles, Los Angeles, California 90095, USA
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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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