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Monteiro-Martins S, Sterenborg RBTM, Borisov O, Scherer N, Cheng Y, Medici M, Köttgen A, Teumer A. New insights into the hypothalamic-pituitary-thyroid axis: a transcriptome- and proteome-wide association study. Eur Thyroid J 2024; 13:e240067. [PMID: 38805593 PMCID: PMC11227097 DOI: 10.1530/etj-24-0067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 05/28/2024] [Indexed: 05/30/2024] Open
Abstract
Introduction Thyroid hormones have systemic effects on the human body and play a key role in the development and function of virtually all tissues. They are regulated via the hypothalamic-pituitary-thyroid (HPT) axis and have a heritable component. Using genetic information, we applied tissue-specific transcriptome-wide association studies (TWAS) and plasma proteome-wide association studies (PWAS) to elucidate gene products related to thyrotropin (TSH) and free thyroxine (FT4) levels. Results TWAS identified 297 and 113 transcripts associated with TSH and FT4 levels, respectively (25 shared), including transcripts not identified by genome-wide association studies (GWAS) of these traits, demonstrating the increased power of this approach. Testing for genetic colocalization revealed a shared genetic basis of 158 transcripts with TSH and 45 transcripts with FT4, including independent, FT4-associated genetic signals within the CAPZB locus that were differentially associated with CAPZB expression in different tissues. PWAS identified 18 and ten proteins associated with TSH and FT4, respectively (HEXIM1 and QSOX2 with both). Among these, the cognate genes of five TSH- and 7 FT4-associated proteins mapped outside significant GWAS loci. Colocalization was observed for five plasma proteins each with TSH and FT4. There were ten TSH and one FT4-related gene(s) significant in both TWAS and PWAS. Of these, ANXA5 expression and plasma annexin A5 levels were inversely associated with TSH (PWAS: P = 1.18 × 10-13, TWAS: P = 7.61 × 10-12 (whole blood), P = 6.40 × 10-13 (hypothalamus), P = 1.57 × 10-15 (pituitary), P = 4.27 × 10-15 (thyroid)), supported by colocalizations. Conclusion Our analyses revealed new thyroid function-associated genes and prioritized candidates in known GWAS loci, contributing to a better understanding of transcriptional regulation and protein levels relevant to thyroid function.
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Affiliation(s)
- Sara Monteiro-Martins
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany
| | - Rosalie B T M Sterenborg
- Division of Endocrinology, Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Oleg Borisov
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany
| | - Nora Scherer
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany
- Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Freiburg, Germany
| | - Yurong Cheng
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany
| | - Marco Medici
- Division of Endocrinology, Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Alexander Teumer
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
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Zadeh-Vakili A, Najd-Hassan-Bonab L, Akbarzadeh M, Abdi H, Zahedi AS, Azizi F, Daneshpour MS. Three candidate SNPs show associations with thyroid-stimulating hormone in euthyroid subjects: Tehran thyroid study. J Diabetes Metab Disord 2024; 23:1047-1055. [PMID: 38932823 PMCID: PMC11196493 DOI: 10.1007/s40200-023-01383-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 12/23/2023] [Indexed: 06/28/2024]
Abstract
Objectives Previous studies have shown interindividual variation in free thyroxine (FT4) serum levels and thyroid stimulating hormone (TSH) in healthy persons. Genetic factors mainly determine this variation, and genome-wide association studies have increased the number of thyroid function-associated variants. The present study investigates the association of candidate variants with FT4 and TSH in a euthyroid Iranian population. Method A total of 2931 unrelated euthyroid subjects (FT4 10.29-21.88 pmol/L; TSH 0.32-10 mIU/L, thyroid peroxidase antibody TPOAb < 33 IU/mL in men and < 35 IU/mL in women), with available genotypes were chosen from the Tehran Thyroid Study (TTS), to examine the impact of selected SNPs on thyroid hormone under the additive genetic model. In order to evaluate regional associations with FT4 and TSH levels, a haplotype analysis was done. Results We identified a strong association between the rs4338740-C allele and TSH in the adjusted model (β = -0.095, P-value = 0.0004). Also, findings indicated that rs4954192 ACMSD and rs4445669 CADM1 correlated with normal TSH levels (P-value = 0.011, P-value = 0.014, respectively). Haplotype analysis revealed that two haplotypes were significantly associated with TSH levels in euthyroid individuals. The ACGA and AC haplotypes on chromosomes 8 and 14 were significantly correlated with normal TSH levels, respectively (P-value = 0.014, P-value = 0.016). Conclusions This is the first genetic association study with TSH and FT4 reference values in an Iranian population. Our findings indicate that a few gene variants associated with the reference values of TSH in other populations are also associated with the reference values of TSH in Iranians. Supplementary Information The online version contains supplementary material available at 10.1007/s40200-023-01383-2.
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Affiliation(s)
- Azita Zadeh-Vakili
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Leila Najd-Hassan-Bonab
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No 24, Parvaneh St, Yemen St, Chamran Exp, PO Box 1985717413, Tehran, IR Iran
| | - Mahdi Akbarzadeh
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No 24, Parvaneh St, Yemen St, Chamran Exp, PO Box 1985717413, Tehran, IR Iran
| | - Hengameh Abdi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Asiyeh Sadat Zahedi
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No 24, Parvaneh St, Yemen St, Chamran Exp, PO Box 1985717413, Tehran, IR Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam S. Daneshpour
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No 24, Parvaneh St, Yemen St, Chamran Exp, PO Box 1985717413, Tehran, IR Iran
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Dalila N, Frikke-Schmidt R, Nordestgaard BG, Tybjærg-Hansen A. Plasma TSH and cardiovascular disease in the general population: A Mendelian randomization study of 105,224 individuals. Atherosclerosis 2023; 376:26-33. [PMID: 37263031 DOI: 10.1016/j.atherosclerosis.2023.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 05/18/2023] [Accepted: 05/23/2023] [Indexed: 06/03/2023]
Abstract
BACKGROUND AND AIMS The association between thyroid stimulating hormone (TSH) and cardiovascular disease has mainly been determined using clinical categories of disease. We tested the hypothesis that TSH on a continuous scale is associated with risk of atrial fibrillation (AF), myocardial infarction (MI), stroke, heart failure (HF), aortic valve stenosis (AVS), and major adverse cardiovascular events (MACE) and whether these associations are likely to be causal. METHODS We first tested whether plasma TSH on a continuous scale was observationally associated with incident cardiovascular events in a prospective cohort study of 105,224 individuals from the Copenhagen General Population Study followed for a median 7 years. Next, we tested whether a genetic risk score weighted on TSH was associated with cardiovascular endpoints. Finally, using Mendelian randomization, we tested whether the observed associations were likely to be causal. RESULTS Using restricted cubic splines, lower concentrations of TSH relative to the population median (=1.53 mIU/L) were associated with higher risk of AF, MI, stroke, HF, AVS, and MACE. Comparing individuals with TSH ≤5th percentile (≤0.54 mIU/L) versus >50th percentile (>1.53 mIU/L), hazard ratios (HRs) ranged from 1.12 (1.00-1.26) for stroke to 1.27 (1.11-1.46) for HF. Genetic risk estimates per standard deviation decrease in TSH were 1.28 (1.08-1.52) for AF, 1.35 (1.06-1.71) for MI, 1.06 (0.89-1.26) for stroke, 1.19 (0.94-1.52) for HF, 1.53 (1.03-2.26) for AVS, and 1.09 (0.97-1.23) for MACE. CONCLUSIONS In 105,224 individuals from the general population low plasma TSH was observationally and genetically associated with increased risk of AF, MI, and AVS suggesting that these observations may reflect causal pathways.
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Affiliation(s)
- Nawar Dalila
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Denmark; The Copenhagen General Population Study, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Børge G Nordestgaard
- The Copenhagen General Population Study, Denmark; Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anne Tybjærg-Hansen
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Denmark; The Copenhagen General Population Study, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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Bai X, Huang M, Chen X, Cai Q, Jiang Z, Chen L, Huang H. Microarray profiling and functional analysis reveal the regulatory role of differentially expressed plasma circular RNAs in Hashimoto’s thyroiditis. Immunol Res 2022; 70:331-340. [DOI: 10.1007/s12026-021-09241-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 09/25/2021] [Indexed: 11/30/2022]
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Candler T, Kessler N, Gunasekara C, Ward K, James P, Laritsky E, Baker M, Dyer R, Elango R, Jeffries D, Waterland R, Moore S, Ludgate M, Prentice A, Silver M. DNA methylation at a nutritionally sensitive region of the PAX8 gene is associated with thyroid volume and function in Gambian children. SCIENCE ADVANCES 2021; 7:eabj1561. [PMID: 34739318 PMCID: PMC8570597 DOI: 10.1126/sciadv.abj1561] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 09/16/2021] [Indexed: 05/13/2023]
Abstract
PAX8 is a key thyroid transcription factor implicated in thyroid gland differentiation and function, and PAX8 gene methylation is reported to be sensitive to the periconceptional environment. Using a novel recall-by-epigenotype study in Gambian children, we found that PAX8 hypomethylation at age 2 years is associated with a 21% increase in thyroid volume and an increase in free thyroxine (T4) at 5 to 8 years, the latter equivalent to 8.4% of the normal range. Free T4 was associated with a decrease in DXA-derived body fat and bone mineral density. Furthermore, offspring PAX8 methylation was associated with periconceptional maternal nutrition, and methylation variability was influenced by genotype, suggesting that sensitivity to environmental exposures may be under partial genetic control. Together, our results demonstrate a possible link between early environment, PAX8 gene methylation and thyroid gland development and function, with potential implications for early embryonic programming of thyroid-related health and disease.
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Affiliation(s)
- Toby Candler
- MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, London, UK
| | - Noah Kessler
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Chathura Gunasekara
- USDA/ARS Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Kate Ward
- MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, London, UK
- MRC Lifecourse Epidemiology, University of Southampton, Southampton, UK
| | - Philip James
- Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Eleonora Laritsky
- USDA/ARS Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Maria Baker
- USDA/ARS Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Roger Dyer
- British Columbia Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Rajavel Elango
- British Columbia Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - David Jeffries
- MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, London, UK
| | - Robert Waterland
- USDA/ARS Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Sophie Moore
- MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, London, UK
- Department of Women and Children’s Health, King’s College London, London, UK
| | - Marian Ludgate
- Thyroid Research Group, School of Medicine, Cardiff University, Cardiff, UK
| | - Andrew Prentice
- MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, London, UK
| | - Matt Silver
- MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, London, UK
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Truong T, Lesueur F, Sugier PE, Guibon J, Xhaard C, Karimi M, Kulkarni O, Lucotte EA, Bacq-Daian D, Boland-Auge A, Mulot C, Laurent-Puig P, Schvartz C, Guizard AV, Ren Y, Adjadj E, Rachédi F, Borson-Chazot F, Ortiz RM, Lence-Anta JJ, Pereda CM, Comiskey DF, He H, Liyanarachchi S, de la Chapelle A, Elisei R, Gemignani F, Thomsen H, Forsti A, Herzig AF, Leutenegger AL, Rubino C, Ostroumova E, Kesminiene A, Boutron-Ruault MC, Deleuze JF, Guénel P, de Vathaire F. Multiethnic genome-wide association study of differentiated thyroid cancer in the EPITHYR consortium. Int J Cancer 2021; 148:2935-2946. [PMID: 33527407 DOI: 10.1002/ijc.33488] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 12/17/2020] [Accepted: 01/11/2021] [Indexed: 02/05/2023]
Abstract
Incidence of differentiated thyroid carcinoma (DTC) varies considerably between ethnic groups, with particularly high incidence rates in Pacific Islanders. DTC is one of the cancers with the highest familial risk suggesting a major role of genetic risk factors, but only few susceptibility loci were identified so far. In order to assess the contribution of known DTC susceptibility loci and to identify new ones, we conducted a multiethnic genome-wide association study (GWAS) in individuals of European ancestry and of Oceanian ancestry from Pacific Islands. Our study included 1554 cases/1973 controls of European ancestry and 301 cases/348 controls of Oceanian ancestry from seven population-based case-control studies participating to the EPITHYR consortium. All participants were genotyped using the OncoArray-500K Beadchip (Illumina). We confirmed the association with the known DTC susceptibility loci at 2q35, 8p12, 9q22.33 and 14q13.3 in the European ancestry population and suggested two novel signals at 1p31.3 and 16q23.2, which were associated with thyroid-stimulating hormone levels in previous GWAS. We additionally replicated an association with 5p15.33 reported previously in Chinese and European populations. Except at 1p31.3, all associations were in the same direction in the population of Oceanian ancestry. We also observed that the frequencies of risk alleles at 2q35, 5p15.33 and 16q23.2 were significantly higher in Oceanians than in Europeans. However, additional GWAS and epidemiological studies in Oceanian populations are needed to fully understand the highest incidence observed in these populations.
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Affiliation(s)
- Thérèse Truong
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, Team "Exposome and Heredity", Villejuif, France
| | - Fabienne Lesueur
- Inserm, U900, Institut Curie, PSL University, Mines ParisTech, Paris, France
| | - Pierre-Emmanuel Sugier
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, Team "Exposome and Heredity", Villejuif, France
| | - Julie Guibon
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, Team "Exposome and Heredity", Villejuif, France
- Inserm, U900, Institut Curie, PSL University, Mines ParisTech, Paris, France
| | - Constance Xhaard
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, Team "Epidemiology of radiations", Villejuif, France
- University of Lorraine, INSERM CIC 1433, Nancy CHRU, Inserm U1116, FCRIN, INI-CRCT, Nancy, France
| | - Mojgan Karimi
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, Team "Exposome and Heredity", Villejuif, France
| | - Om Kulkarni
- Inserm, U900, Institut Curie, PSL University, Mines ParisTech, Paris, France
| | - Elise A Lucotte
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, Team "Exposome and Heredity", Villejuif, France
| | - Delphine Bacq-Daian
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France
| | - Anne Boland-Auge
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France
| | - Claire Mulot
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, USPC, Université Paris Descartes, Université Paris Diderot, EPIGENETEC, Paris, France
| | - Pierre Laurent-Puig
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, USPC, Université Paris Descartes, Université Paris Diderot, EPIGENETEC, Paris, France
| | - Claire Schvartz
- Registre des Cancers Thyroïdiens, Institut GODINOT, Reims, France
| | - Anne-Valérie Guizard
- Registre Général des tumeurs du Calvados, Centre François Baclesse, Caen, France
- Inserm U1086 -UCN "ANTICIPE", Caen, France
| | - Yan Ren
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, Team "Epidemiology of radiations", Villejuif, France
| | - Elisabeth Adjadj
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, Team "Epidemiology of radiations", Villejuif, France
| | - Frédérique Rachédi
- Endocrinology Unit, Territorial Hospital Taaone, Papeete, Tahiti, French Polynesia
| | - Francoise Borson-Chazot
- Fédération d'endocrinologie, Hôpital Louis Pradel, Hospices Civils de Lyon, EA 7425, Université Lyon 1, Lyon, France
| | | | | | | | - Daniel F Comiskey
- Human Cancer Genetics Program and Department of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Huiling He
- Human Cancer Genetics Program and Department of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Sandya Liyanarachchi
- Human Cancer Genetics Program and Department of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Albert de la Chapelle
- Human Cancer Genetics Program and Department of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | | | | | - Hauke Thomsen
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- GeneWerk GmbH, Heidelberg, Germany
| | - Asta Forsti
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Anthony F Herzig
- Inserm, U1078, GGB, Université de Bretagne Occidentale, EFS, Brest, France
| | | | - Carole Rubino
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, Team "Epidemiology of radiations", Villejuif, France
| | | | | | | | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France
| | - Pascal Guénel
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, Team "Exposome and Heredity", Villejuif, France
| | - Florent de Vathaire
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, Team "Epidemiology of radiations", Villejuif, France
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Kuś A, Chaker L, Teumer A, Peeters RP, Medici M. The Genetic Basis of Thyroid Function: Novel Findings and New Approaches. J Clin Endocrinol Metab 2020; 105:5818501. [PMID: 32271924 DOI: 10.1210/clinem/dgz225] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 01/06/2020] [Indexed: 12/18/2022]
Abstract
CONTEXT Genetic factors are major determinants of thyroid function. Over the last two decades, multiple genetic variants have been associated with variations in normal range thyroid function tests. Most recently, a large-scale genome-wide association study (GWAS) doubled the number of known variants associated with normal range thyrotropin (TSH) and free thyroxine (FT4) levels. EVIDENCE ACQUISITION This review summarizes the results of genetic association studies on normal range thyroid function and explores how these genetic variants can be used in future studies to improve our understanding of thyroid hormone regulation and disease. EVIDENCE SYNTHESIS Serum TSH and FT4 levels are determined by multiple genetic variants on virtually all levels of the hypothalamus-pituitary-thyroid (HPT) axis. Functional follow-up studies on top of GWAS hits has the potential to discover new key players in thyroid hormone regulation, as exemplified by the identification of the thyroid hormone transporter SLC17A4 and the metabolizing enzyme AADAT. Translational studies may use these genetic variants to investigate causal associations between thyroid function and various outcomes in Mendelian Randomization (MR) studies, to identify individuals with an increased risk of thyroid dysfunction, and to predict the individual HPT axis setpoint. CONCLUSIONS Recent genetic studies have greatly improved our understanding of the genetic basis of thyroid function, and have revealed novel pathways involved in its regulation. In addition, these findings have paved the way for various lines of research that can improve our understanding of thyroid hormone regulation and thyroid diseases, as well as the potential use of these markers in future clinical practice.
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Affiliation(s)
- Aleksander Kuś
- Department of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine and Endocrinology, Medical University of Warsaw, Warsaw, Poland
| | - Layal Chaker
- Department of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Robin P Peeters
- Department of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Marco Medici
- Department of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Division of Endocrinology, Radboud University Medical Center, Nijmegen, The Netherlands
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AATF and SMARCA2 are associated with thyroid volume in Hashimoto's thyroiditis patients. Sci Rep 2020; 10:1754. [PMID: 32019955 PMCID: PMC7000742 DOI: 10.1038/s41598-020-58457-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 01/13/2020] [Indexed: 12/13/2022] Open
Abstract
Thyroid volume of Hashimoto’s thyroiditis (HT) patients varies in size over the course of disease and it may reflect changes in biological function of thyroid gland. Patients with subclinical hypothyroidism predominantly have increased thyroid volume whereas patients with more pronounced hypothyroidism have smaller thyroid volumes. Suggested mechanism for thyroid atrophy is thyrocyte death due to apoptosis. We performed the first genome-wide association study (GWAS) of thyroid volume in two groups of HT patients, depending on levothyroxine (LT4) therapy, and then meta-analysed across. Study included 345 HT patients in total and 6 007 322 common autosomal genetic variants. Underlying hypothesis was that genetic components that are involved in regulation of thyroid volume display their effect in specific pathophysiologic conditions of thyroid gland of HT patients. We additionally performed immunohistochemical analysis using thyroid tissues and analysed differences in expression levels of identified proteins and apoptotic marker between HT patients and controls. We found genome-wide significant association of two loci, both involved in apoptosis, with thyroid volume of HT patients: rs7212416 inside apoptosis-antagonizing transcription factor AATF (P = 8.95 × 10−9) and rs10738556 near chromatin-remodeling SMARCA2 (P = 2.83 × 10−8). In immunohistochemical analysis we observed that HT patients with homozygous AATF risk genotypes have decreased AATF expression (0.46-fold, P < 0.0001) and increased apoptosis (3.99-fold, P = 0.0001) in comparison to controls. HT patients with heterozygous SMARCA2 genotypes have decreased SMARCA2 expression, albeit without reaching statistical significance (1.07-fold, P = 0.5876), and significantly increased apoptosis (4.11-fold, P < 0.0001). By two lines of evidence we show that two highly plausible genetic loci, AATF and SMARCA2, may be involved in determining the thyroid volume of HT patients. The results of our study significantly add to the current knowledge of disturbed biological mechanisms in thyroid gland of HT patients.
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Leask M, Dowdle A, Salvesen H, Topless R, Fadason T, Wei W, Schierding W, Marsman J, Antony J, O'Sullivan JM, Merriman TR, Horsfield JA. Functional Urate-Associated Genetic Variants Influence Expression of lincRNAs LINC01229 and MAFTRR. Front Genet 2019; 9:733. [PMID: 30719032 PMCID: PMC6348267 DOI: 10.3389/fgene.2018.00733] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 12/22/2018] [Indexed: 12/02/2022] Open
Abstract
Genetic variation in the genomic regulatory landscape likely plays a crucial role in the pathology of disease. Non-coding variants associated with disease can influence the expression of long intergenic non-coding RNAs (lincRNAs), which in turn function in the control of protein-coding gene expression. Here, we investigate the function of two independent serum urate-associated signals (SUA1 and SUA2) in close proximity to lincRNAs and an enhancer that reside ∼60 kb and ∼300 kb upstream of MAF, respectively. Variants within SUA1 are expression quantitative trait loci (eQTL) for LINC01229 and MAFTRR, both co-expressed with MAF. We have also identified that variants within SUA1 are trans-eQTL for genes that are active in kidney- and serum urate-relevant pathways. Serum urate-associated variants rs4077450 and rs4077451 within SUA2 lie within an enhancer that recruits the transcription factor HNF4α and forms long range interactions with LINC01229 and MAFTRR. The urate-raising alleles of rs4077450 and rs4077451 increase enhancer activity and associate with increased expression of LINC01229. We show that the SUA2 enhancer region drives expression in the zebrafish pronephros, recapitulating endogenous MAF expression. Depletion of MAFTRR and LINC01229 in HEK293 cells in turn lead to increased MAF expression. Collectively, our results are consistent with serum urate variants mediating long-range transcriptional regulation of the lincRNAs LINC01229 and MAFTRR and urate relevant genes (e.g., SLC5A8 and EHHADH) in trans.
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Affiliation(s)
- Megan Leask
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.,Maurice Wilkins Centre for Molecular Biodiscovery, The University of Auckland, Auckland, New Zealand
| | - Amy Dowdle
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Hamish Salvesen
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Ruth Topless
- Department of Biochemistry, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | - Tayaza Fadason
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Wenhua Wei
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - William Schierding
- Maurice Wilkins Centre for Molecular Biodiscovery, The University of Auckland, Auckland, New Zealand.,Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Judith Marsman
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.,Maurice Wilkins Centre for Molecular Biodiscovery, The University of Auckland, Auckland, New Zealand
| | - Jisha Antony
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Justin M O'Sullivan
- Maurice Wilkins Centre for Molecular Biodiscovery, The University of Auckland, Auckland, New Zealand.,Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Tony R Merriman
- Maurice Wilkins Centre for Molecular Biodiscovery, The University of Auckland, Auckland, New Zealand.,Department of Biochemistry, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | - Julia A Horsfield
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.,Maurice Wilkins Centre for Molecular Biodiscovery, The University of Auckland, Auckland, New Zealand
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10
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Hwangbo Y, Lee EK, Son HY, Im SW, Kwak SJ, Yoon JW, Kim MJ, Kim J, Choi HS, Ryu CH, Lee YJ, Kim JI, Cho NH, Park YJ. Genome-Wide Association Study Reveals Distinct Genetic Susceptibility of Thyroid Nodules From Thyroid Cancer. J Clin Endocrinol Metab 2018; 103:4384-4394. [PMID: 30099483 DOI: 10.1210/jc.2017-02439] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Accepted: 08/01/2018] [Indexed: 01/02/2023]
Abstract
CONTEXT Thyroid nodules are very common, and 7% to 15% of them are diagnosed as thyroid cancer. However, the inherited genetic risk factors for thyroid nodules and their associations with thyroid cancer remain unknown. OBJECTIVE To identify the genetic variants associated with susceptibility to thyroid nodules in comparison with thyroid cancer. DESIGN AND SETTING We performed a three-stage genome-wide association study for thyroid nodules. The discovery stage involved a genome-wide scan of 811 subjects with thyroid nodules and 691 subjects with a normal thyroid from a population-based cohort. Replication studies were conducted in an additional 1981 cases and 3100 controls from the participants of a health checkup. We also performed expression quantitative trait loci analysis of public data. RESULTS The most robust association was observed in TRPM3 (rs4745021) in the joint analysis (OR, 1.26; P = 6.12 × 10-8) and meta-analysis (OR, 1.28; P = 2.11 × 10-8). Signals at MBIP/NKX2-1 were replicated but did not reach genome-wide significance in the joint analysis (rs2415317, P = 4.62 × 10-5; rs944289, P = 8.68 × 10-5). The expression quantitative trait loci analysis showed that TRPM3 expression was associated with the rs4745021 genotype in thyroid tissues. CONCLUSIONS To the best of our knowledge, we have performed the first genome-wide association study of thyroid nodules and identified a susceptibility locus associated with thyroid nodules, suggesting that thyroid nodules have a genetic predisposition distinct from that of thyroid cancer.
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Affiliation(s)
- Yul Hwangbo
- Center for Thyroid Cancer, National Cancer Center, Korea, Goyang, Republic of Korea
| | - Eun Kyung Lee
- Center for Thyroid Cancer, National Cancer Center, Korea, Goyang, Republic of Korea
| | - Ho-Young Son
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Republic of Korea
- Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Republic of Korea
| | - Sun-Wha Im
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Republic of Korea
- Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Republic of Korea
| | - Soo-Jung Kwak
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Ji Won Yoon
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea
| | - Min Joo Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea
| | - Jeongseon Kim
- Molecular Epidemiology Branch, Division of Cancer Epidemiology and Prevention, Research Institute, National Cancer Center, Goyang, Republic of Korea
| | - Hoon Sung Choi
- Department of Internal Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Republic of Korea
| | - Chang Hwan Ryu
- Center for Thyroid Cancer, National Cancer Center, Korea, Goyang, Republic of Korea
| | - You Jin Lee
- Center for Thyroid Cancer, National Cancer Center, Korea, Goyang, Republic of Korea
| | - Jong-Il Kim
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Republic of Korea
- Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Republic of Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Nam H Cho
- Department of Preventive Medicine, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Young Joo Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
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11
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Chen J, Zhou W, Pan F, Cui W, Li M, Hu Y. Age-related change in thyroid-stimulating hormone: a cross-sectional study in healthy euthyroid population. Endocr J 2018; 65:1075-1082. [PMID: 30068892 DOI: 10.1507/endocrj.ej18-0113] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
This cross-sectional study aimed to examine changes in thyroid-stimulating hormone (TSH) concentration over age in China and investigate relationship between TSH and risk factors for cardiovascular disease (CVD) among euthyroid subjects. TSH, free triiodothyronine (FT3), free thyroxine (FT4), blood lipid, and glucose were measured. 7,693 individuals were subdivided into different age groups. Associations between TSH and CVD risk factors [age, body mass index (BMI), systolic and diastolic blood pressure, total cholesterol (TC), triglycerides, low density lipoprotein-cholesterol (LDL-C) and high density lipoprotein-cholesterol (HDL-C) and fasting plasma glucose (FPG)] were evaluated with Pearson correlation analysis. Results showed that 2.5th percentile for TSH was consistent across age groups, whereas 97.5th percentile increased in subjects older than 40 years with upper limit being 6.83 mIU/L in subjects aged 60-69 years and 8.07 mIU/L in those older than 70 years. The age-specific upper limits reclassification rate was higher in all age bands as compared to the common cut-off value. TSH was positively associated with age, SBP, DBP, TC and LDL-C and negatively with FT3 and FT4. Serum TSH within new reference range had a linear correlation with SBP, TC and LDL-C in subjects aged <60 years. There were no significant differences in BMI, blood pressure, lipid profile or FPG among subjects 60-69 and older than or equal to 70 years. Elevated TSH within new reference range is associated with risk factors for CVD in subjects aged <60 years. Thus, there might be age-related difference in the relationship between CVD risk factors and elevated serum TSH.
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Affiliation(s)
- Juan Chen
- Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
- Department of Endocrinology, Huai'an First People's Hospital, Nanjing Medical University, Huai'an, China
| | - Weihong Zhou
- Department of Medical Examination Center, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Fenghui Pan
- Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Wenxia Cui
- Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Man Li
- Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Yun Hu
- Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
- State Key Laboratory of Analytical Chemistry for Life Science Department of Chemistry Nanjing University, Nanjing, China
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12
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Bakhsh AD, Ladas I, Hamshere ML, Bullock M, Kirov G, Zhang L, Taylor PN, Gregory JW, Scott-Coombes D, Völzke H, Teumer A, Mantripragada K, Williams ED, Clifton-Bligh RJ, Williams NM, Ludgate ME. An InDel in Phospholipase-C-B-1 Is Linked with Euthyroid Multinodular Goiter. Thyroid 2018; 28:891-901. [PMID: 29897006 DOI: 10.1089/thy.2017.0312] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Euthyroid multinodular goiter (MNG) is common, but little is known about the genetic variations conferring predisposition. Previously, a family with MNG of adolescent onset was reported in which some family members developed papillary thyroid carcinomas (PTC). METHODS Genome-wide linkage analysis and next-generation sequencing were conducted to identify genetic variants that may confer disease predisposition. A multipoint nonparametric LOD score of 3.01 was obtained, covering 19 cM on chromosome 20p. Haplotype analysis reduced the region of interest to 10 cM. RESULTS Analysis of copy number variation identified an intronic InDel (∼1000 bp) in the PLCB1 gene in all eight affected family members and carriers (an unaffected person who has inherited the genetic trait). This InDel is present in approximately 1% of "healthy" Caucasians. Next-generation sequencing of the region identified no additional disease-associated variant, suggesting a possible role of the InDel. Since PLCB1 contributes to thyrocyte growth regulation, the InDel was investigated in relevant Caucasian cohorts. It was detected in 0/70 PTC but 4/81 unrelated subjects with MNG (three females; age at thyroidectomy 27-59 years; no family history of MNG/PTC). The InDel frequency is significantly higher in MNG subjects compared to controls (χ2 = 5.076; p = 0.024. PLCB1 transcript levels were significantly higher in thyroids with the InDel than without (p < 0.02). CONCLUSIONS The intronic PLCB1 InDel is the first variant found in familial multiple papilloid adenomata-type MNG and in a subset of patients with sporadic MNG. It may function through overexpression, and increased PLC activity has been reported in thyroid neoplasms. The potential role of the deletion as a biomarker to identify MNG patients more likely to progress to PTC merits exploration.
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Affiliation(s)
- Ameen D Bakhsh
- 1 Division of Infection and Immunity, Cardiff University , Cardiff, United Kingdom
| | - Ioannis Ladas
- 1 Division of Infection and Immunity, Cardiff University , Cardiff, United Kingdom
| | - Marian L Hamshere
- 2 Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University , Cardiff, United Kingdom
| | - Martyn Bullock
- 3 Kolling Institute of Medical Research and Department of Endocrinology, University of Sydney , Royal North Shore Hospital, Sydney, Australia
| | - George Kirov
- 2 Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University , Cardiff, United Kingdom
| | - Lei Zhang
- 1 Division of Infection and Immunity, Cardiff University , Cardiff, United Kingdom
| | - Peter N Taylor
- 1 Division of Infection and Immunity, Cardiff University , Cardiff, United Kingdom
| | - John W Gregory
- 1 Division of Infection and Immunity, Cardiff University , Cardiff, United Kingdom
| | - David Scott-Coombes
- 4 Department of Endocrine Surgery; Cardiff University , Cardiff, United Kingdom
| | - Henry Völzke
- 5 Institute for Community Medicine, Study of Health in Pomerania, Ernst Moritz Arndt University , Greifswald, Germany
| | - Alexander Teumer
- 5 Institute for Community Medicine, Study of Health in Pomerania, Ernst Moritz Arndt University , Greifswald, Germany
| | - Kiran Mantripragada
- 2 Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University , Cardiff, United Kingdom
| | - E Dillwyn Williams
- 6 Thyroid Carcinogenesis Research Group, Strangeways Research Laboratory , Wort's Causeway, Cambridge, United Kingdom
| | - Roderick J Clifton-Bligh
- 3 Kolling Institute of Medical Research and Department of Endocrinology, University of Sydney , Royal North Shore Hospital, Sydney, Australia
| | - Nigel M Williams
- 2 Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University , Cardiff, United Kingdom
| | - Marian E Ludgate
- 1 Division of Infection and Immunity, Cardiff University , Cardiff, United Kingdom
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13
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McLachlan SM, Aliesky H, Banuelos B, Hee SSQ, Rapoport B. Variable Effects of Dietary Selenium in Mice That Spontaneously Develop a Spectrum of Thyroid Autoantibodies. Endocrinology 2017; 158:3754-3764. [PMID: 28938453 PMCID: PMC5695827 DOI: 10.1210/en.2017-00275] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 08/18/2017] [Indexed: 12/16/2022]
Abstract
Selenium (Se) is a critical element in thyroid function, and variable dietary Se intake influences immunity. Consequently, dietary Se could influence development of thyroid autoimmunity and provide an adjunct to treat autoimmune thyroid dysfunction. Nonobese diabetic (NOD).H2h4 mice spontaneously develop autoantibodies to thyroglobulin (Tg) and thyroid peroxidase (TPO). This mouse strain expressing a human thyroid-stimulating hormone receptor (TSHR) A-subunit transgene in the thyroid also develops pathogenic TSHR autoantibodies. In this report, we investigated whether dietary Se influences these immune processes. Male and female wild-type and transgenic NOD.H2h4 mice were maintained on normal-, low-, or high-Se (0.1, 0, or 1.0 mg/kg) rodent diets. After 4 months, Se serum levels were extremely low or significantly increased on 0 or 1.0 mg/kg Se, respectively. Varying Se intake affected Tg antibody (TgAb) levels after 2 (but not 4) months; conversely, TPO antibody (TPOAb) levels were altered by dietary Se after 4 (but not 2) months. These data correspond to the earlier development of TgAb than TPOAb in NOD.H2h4 mice. In males, TgAb levels were enhanced by high Se and in females by low Se intake. Se intake had no effect on pathogenic TSHR autoantibodies in TSHR transgenic NOD.H2h4 females. In conclusion, in susceptible NOD.H2h4 mice, we found no evidence that a higher dietary Se intake ameliorates thyroid autoimmunity by reducing autoantibodies to Tg, TPO, or the TSHR. Instead, our finding that low dietary Se potentiates the development of autoantibodies to Tg and TPO in females is consistent with reports in humans of an increased prevalence of autoimmune thyroiditis in low-Se regions.
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Affiliation(s)
- Sandra M. McLachlan
- Thyroid Autoimmune Disease Unit, Cedars-Sinai Research Institute, and University of California, Los Angeles, School of Medicine, Los Angeles, California 90095
| | - Holly Aliesky
- Thyroid Autoimmune Disease Unit, Cedars-Sinai Research Institute, and University of California, Los Angeles, School of Medicine, Los Angeles, California 90095
| | - Bianca Banuelos
- Thyroid Autoimmune Disease Unit, Cedars-Sinai Research Institute, and University of California, Los Angeles, School of Medicine, Los Angeles, California 90095
| | - Shane S. Que Hee
- Department of Environmental Health Sciences and Center for Occupational and Environmental Health, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California 90095
| | - Basil Rapoport
- Thyroid Autoimmune Disease Unit, Cedars-Sinai Research Institute, and University of California, Los Angeles, School of Medicine, Los Angeles, California 90095
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14
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Wichmann HE. Epidemiology in Germany-general development and personal experience. Eur J Epidemiol 2017; 32:635-656. [PMID: 28815360 DOI: 10.1007/s10654-017-0290-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2017] [Accepted: 07/27/2017] [Indexed: 12/19/2022]
Abstract
Did you ever hear about epidemiology in Germany? Starting from an epidemiological desert the discipline has grown remarkably, especially during the last 10-15 years: research institutes have been established, research funding has improved, multiple curriculae in Epidemiology and Public Health are offered. This increase has been quite steep, and now the epidemiological infrastructure is much better. Several medium-sized and even big population cohorts are ongoing, and the number and quality of publications from German epidemiologists has reached a respectable level. My own career in epidemiology started in the field of environmental health. After German reunification I concentrated for many years on environmental problems in East Germany and observed the health benefits after improvement of the situation. Later, I concentrated on population-based cohorts in newborns (GINI/LISA) and adults (KORA, German National Cohort), and on biobanking. This Essay describes the development in Germany after worldwar 2, illustrated by examples of research results and build-up of epidemiological infractructures worth mentioning.
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Affiliation(s)
- Heinz-Erich Wichmann
- Institute of Epidemiology, 2, Helmholtz Center Munich, Munich, Germany. .,Chair of Epidemiology, University of Munich, Munich, Germany.
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15
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Bos MM, Smit RAJ, Trompet S, van Heemst D, Noordam R. Thyroid Signaling, Insulin Resistance, and 2 Diabetes Mellitus: A Mendelian Randomization Study. J Clin Endocrinol Metab 2017; 102:1960-1970. [PMID: 28323940 DOI: 10.1210/jc.2016-2816] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2016] [Accepted: 03/02/2017] [Indexed: 02/10/2023]
Abstract
Context Increasing evidence suggests an association between thyroid-stimulating hormone (TSH), free thyroxine (fT4), and deiodinases with insulin resistance and type 2 diabetes mellitus (T2D). Objective We examined whether TSH and fT4 levels and deiodinases are causally associated with insulin resistance and T2D, using Mendelian randomization. Methods We selected 20 genetic variants for TSH level and four for fT4 level (identified in a genome-wide association study (GWAS) meta-analysis of European-ancestry cohorts) as instrumental variables for TSH and fT4 levels, respectively. We used summary data from GWASs on the outcomes T2D [Diabetes, Genetics Replication and Meta-analysis (DIAGRAM), n = 12,171 cases and n = 56,862 control subjects] and glycemic traits in patients without diabetes [Meta-Analyses of Glucose and Insulin-Related Traits Consortium (MAGIC), n = 46,186 for fasting glucose and insulin and n = 46,368 for hemoglobin A1c]. To examine whether the associations between TSH/fT4 levels and the study outcomes were causal, we combined the effects of the genetic instruments. Furthermore, we examined the associations among 16 variants in DIO1, DIO2, DIO3, and T2D and glycemic traits. Results We found no evidence for an association between the combined genetic instrumental variables for TSH and fT4 and the study outcomes. For example, we did not observe a genetically determined association between high TSH level and T2D (odds ratio, 0.91 per standard deviation TSH increase; 95% confidence interval, 0.78 to 1.07). Selected genetic variants in DIO1 (e.g., rs7527713) were associated with measures of insulin resistance. Conclusion We found no evidence for a causal association between circulatory levels of TSH and fT4 with insulin resistance and T2D, but we found suggestive evidence that DIO1 affects glucose metabolism.
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Affiliation(s)
- Maxime M Bos
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Roelof A J Smit
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Stella Trompet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
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16
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McLachlan SM, Aliesky HA, Banuelos B, Lesage S, Collin R, Rapoport B. High-level intrathymic thyrotrophin receptor expression in thyroiditis-prone mice protects against the spontaneous generation of pathogenic thyrotrophin receptor autoantibodies. Clin Exp Immunol 2017; 188:243-253. [PMID: 28099999 PMCID: PMC5383439 DOI: 10.1111/cei.12928] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Revised: 01/03/2017] [Accepted: 01/12/2017] [Indexed: 12/11/2022] Open
Abstract
The thyrotrophin receptor (TSHR) A-subunit is the autoantigen targeted by pathogenic autoantibodies that cause Graves' hyperthyroidism, a common autoimmune disease in humans. Previously, we reported that pathogenic TSHR antibodies develop spontaneously in thyroiditis-susceptible non-obese diabetic (NOD).H2h4 mice bearing a human TSHR A-subunit transgene, which is expressed at low levels in both the thyroid and thymus (Lo-expressor transgene). The present study tested recent evidence that high intrathymic TSHR expression protects against the development of pathogenic TSHR antibodies in humans. By successive back-crossing, we transferred to the NOD.H2h4 background a human TSHR A-subunit transgene expressed at high levels in the thyroid and thymus (Hi-expressor transgene). In the sixth back-cross generation (> 98% NOD.H2h4 genome), only transgenic offspring produced spontaneously immunoglobulin (Ig)G class non-pathogenic human TSHR A-subunit antibodies. In contrast, both transgenic and non-transgenic offspring developed antibodies to thyroglobulin and thyroid peroxidase. However, non-pathogenic human TSHR antibody levels in Hi-expressor offspring were lower than in Lo-expressor transgenic mice. Moreover, pathogenic TSHR antibodies, detected by inhibition of TSH binding to the TSHR, only developed in back-cross offspring bearing the Lo-expressor, but not the Hi-expressor, transgene. High versus low expression human TSHR A-subunit in the NOD.H2h4 thymus was not explained by the transgene locations, namely chromosome 2 (127-147 Mb; Hi-expressor) and chromosome 1 (22.9-39.3 Mb; low expressor). Nevertheless, using thyroiditis-prone NOD.H2h4 mice and two transgenic lines, our data support the association from human studies that low intrathymic TSHR expression is associated with susceptibility to developing pathogenic TSHR antibodies, while high intrathymic TSHR expression is protective.
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Affiliation(s)
- S. M. McLachlan
- Thyroid Autoimmune Disease UnitCedars‐Sinai Research Institute and UCLA School of Medicine, University of CaliforniaLos AngelesCAUSA
| | - H. A. Aliesky
- Thyroid Autoimmune Disease UnitCedars‐Sinai Research Institute and UCLA School of Medicine, University of CaliforniaLos AngelesCAUSA
| | - B. Banuelos
- Thyroid Autoimmune Disease UnitCedars‐Sinai Research Institute and UCLA School of Medicine, University of CaliforniaLos AngelesCAUSA
| | - S. Lesage
- Department of Immunology‐OncologyMaisonneuve‐Rosemont Hospital, Montréal, Québec, Canada and Département de Microbiologie, Infectiologie et Immunologie, Université de MontréalMontréalQuébecCanada
| | - R. Collin
- Department of Immunology‐OncologyMaisonneuve‐Rosemont Hospital, Montréal, Québec, Canada and Département de Microbiologie, Infectiologie et Immunologie, Université de MontréalMontréalQuébecCanada
| | - B. Rapoport
- Thyroid Autoimmune Disease UnitCedars‐Sinai Research Institute and UCLA School of Medicine, University of CaliforniaLos AngelesCAUSA
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17
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Abstract
Recent studies show that subtle variations in thyroid function, including subclinical thyroid dysfunction, and even variation in thyroid function within the normal range, are associated with morbidity and mortality. It is estimated that 40-65% of the inter-individual variation in serum TSH and FT4 levels is determined by genetic factors. To identify these factors, various linkage and candidate gene studies have been performed in the past, which have identified only a few genes. In the last decade, genome-wide association studies identified many new genes, while recent whole-genome sequencing efforts have also been proven to be effective. In the current review, we provide a systematic overview of these studies, including strengths and limitations. We discuss new techniques which will further clarify the genetic basis of thyroid function in the near future, as well as the potential use of these genetic markers in personalizing the management of thyroid disease patients.
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Affiliation(s)
- Marco Medici
- Department of Internal Medicine and Rotterdam Thyroid Center, Erasmus Medical Center, Rotterdam, The Netherlands.
| | - Theo J Visser
- Department of Internal Medicine and Rotterdam Thyroid Center, Erasmus Medical Center, Rotterdam, The Netherlands.
| | - Robin P Peeters
- Department of Internal Medicine and Rotterdam Thyroid Center, Erasmus Medical Center, Rotterdam, The Netherlands.
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18
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Völzke H, Caron P, Dahl L, de Castro JJ, Erlund I, Gaberšček S, Gunnarsdottir I, Hubalewska-Dydejczyk A, Ittermann T, Ivanova L, Karanfilski B, Khattak RM, Kusić Z, Laurberg P, Lazarus JH, Markou KB, Moreno-Reyes R, Nagy EV, Peeters RP, Pīrāgs V, Podoba J, Rayman MP, Rochau U, Siebert U, Smyth PP, Thuesen BH, Troen A, Vila L, Vitti P, Zamrazil V, Zimmermann MB. Ensuring Effective Prevention of Iodine Deficiency Disorders. Thyroid 2016; 26:189-96. [PMID: 26700864 DOI: 10.1089/thy.2015.0543] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Programs initiated to prevent iodine deficiency disorders (IDD) may not remain effective due to changes in government policies, commercial factors, and human behavior that may affect the efficacy of IDD prevention programs in unpredictable directions. Monitoring and outcome studies are needed to optimize the effectiveness of IDD prevention. SUMMARY Although the need for monitoring is compelling, the current reality in Europe is less than optimal. Regular and systematic monitoring surveys have only been established in a few countries, and comparability across the studies is hampered by the lack of centralized standardization procedures. In addition, data on outcomes and the cost of achieving them are needed in order to provide evidence of the beneficial effects of IDD prevention in countries with mild iodine deficiency. CONCLUSION Monitoring studies can be optimized by including centralized standardization procedures that improve the comparison between studies. No study of iodine consumption can replace the direct measurement of health outcomes and the evaluation of the costs and benefits of the program. It is particularly important that health economic evaluation should be conducted in mildly iodine-deficient areas and that it should include populations from regions with different environmental, ethnic, and cultural backgrounds.
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Affiliation(s)
- Henry Völzke
- 1 Institute for Community Medicine, University Medicine Greifswald , Greifswald, Germany
| | - Philippe Caron
- 2 Department of Endocrinology, Centre Hospitalier Universitaire de Larrey , Toulouse, France
| | - Lisbeth Dahl
- 3 Human Studies, National Institute of Nutrition and Seafood Research , Bergen, Norway
| | - João J de Castro
- 4 Department of Endocrinology, Hospital das Forças Armadas , Lisbon, Portugal
| | - Iris Erlund
- 5 Disease Risk Unit, National Institute for Health and Welfare , Helsinki, Finland
| | - Simona Gaberšček
- 6 Department of Nuclear Medicine, University Medical Centre , Ljubljana, Slovenia
| | - Ingibjörg Gunnarsdottir
- 7 Unit for Nutrition Research, University of Iceland and Landspitali National University Hospital , Reykjavik, Iceland
| | | | - Till Ittermann
- 1 Institute for Community Medicine, University Medicine Greifswald , Greifswald, Germany
| | - Ludmila Ivanova
- 9 Faculty of Medicine, Sofia University Sv. Kliment Ohridski , Sofia, Bulgaria
| | - Borislav Karanfilski
- 10 Centre for Regional Policy Research and Cooperation "Studiorum," Skopje, Macedonia
| | - Rehman M Khattak
- 1 Institute for Community Medicine, University Medicine Greifswald , Greifswald, Germany
| | - Zvonko Kusić
- 11 University of Zagreb, School of Medicine, Department of Oncology and Nuclear Medicine, University Hospital Centre Sestre Milosrdnice , Zagreb, Croatia
| | - Peter Laurberg
- 12 Departments of Endocrinology and Clinical Medicine, Aalborg University Hospital and Aalborg University , Aalborg, Denmark
| | - John H Lazarus
- 13 Institute of Molecular Medicine, Cardiff University , Cardiff, United Kingdom
| | - Kostas B Markou
- 14 Department of Endocrinology, Institute University of Patras Medical School , Patras, Greece
| | - Rodrigo Moreno-Reyes
- 15 Nuclear Medicine Department, Erasme Hospital, Université Libre de Bruxelles , Brussels, Belgium
| | - Endre V Nagy
- 16 Division of Endocrinology, University of Debrecen , Debrecen, Hungary
| | - Robin P Peeters
- 17 Department of Internal Medicine, Rotterdam Thyroid Center , Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Valdis Pīrāgs
- 18 Department of Internal Medicine, University of Latvia , Riga, Latvia
| | - Ján Podoba
- 19 Department of Endocrinology, Slovakian Medical University , Bratislava, Slovakia
| | - Margaret P Rayman
- 20 Department of Nutritional Sciences, Faculty Health and Medical Sciences, University of Surrey , Guildford, United Kingdom
| | - Ursula Rochau
- 21 Department of Public Health, Health Services Research and Health Technology Assessment, UMIT-University for Health Science , Medical Informatics and Technology, Hall, Austria
| | - Uwe Siebert
- 21 Department of Public Health, Health Services Research and Health Technology Assessment, UMIT-University for Health Science , Medical Informatics and Technology, Hall, Austria
| | - Peter P Smyth
- 22 National University of Ireland, Galway and Centre for Public Health, Queen's University , Belfast, North Ireland
| | - Betina H Thuesen
- 23 Research Centre for Prevention and Health , The Capital Region of Denmark, Rigshospitalet, Glostrup, Denmark
| | - Aron Troen
- 24 Institute of Biochemistry, Food Science and Nutrition, The Hebrew University of Jerusalem , Jerusalem, Israel
| | - Lluís Vila
- 25 Department of Endocrinology and Nutrition, Hospital de Sant Joan Despi Moisès Broggi , Barcelona, Spain
| | - Paolo Vitti
- 26 Department of Clinical and Experimental Medicine, University of Pisa , Pisa, Italy
| | | | - Michael B Zimmermann
- 28 Swiss Federal Institute of Technology , Zürich Department of Health Sciences and Technology, Zürich, Switzerland
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19
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Campbell P, Brix TH, Wilson SG, Ward LC, Hui J, Beilby JP, Hegedüs L, Walsh JP. Common genetic variants associated with thyroid function may be risk alleles for Hashimoto's disease and Graves' disease. Clin Endocrinol (Oxf) 2016; 84:278-283. [PMID: 25683181 DOI: 10.1111/cen.12746] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2014] [Revised: 12/27/2014] [Accepted: 02/10/2015] [Indexed: 11/29/2022]
Abstract
BACKGROUND Recent studies have identified common genetic variants associated with TSH, free T4 and thyroid peroxidase antibodies, but it is unclear whether these differ between patients with Hashimoto's disease and Graves' disease. OBJECTIVE To examine whether 11 common genetic variants differ between Graves' disease and Hashimoto's disease. PATIENTS AND MEASUREMENTS We genotyped 11 common variants in a discovery cohort of 203 Australian patients with autoimmune thyroid disease (AITD). Two variants with significant or suggestive associations were analysed in a replication cohort of 384 Danish patients. RESULTS For rs753760 (PDE10A), the minor allele frequency in Graves' disease and Hashimoto's disease was 0·38 vs. 0·23, respectively, (P = 6·42 × 10-4 ) in the discovery cohort, 0·29 vs. 0·24 (P = 0·147) in the replication cohort and 0·32 vs. 0·24 in combined analysis (P = 0·0021; all analyses adjusted for sex). In healthy controls from Busselton, the frequency was 0·29, significantly different from Hashimoto's disease but not Graves' disease. For rs4889009 (MAF gene region), the frequency of the minor G-allele in Graves' disease and Hashimoto's disease was 0·48 vs. 0·36 (P = 0·0156) in the discovery cohort, 0·48 vs. 0·34 (P = 1·83 × 10-4 ) in the replication cohort and 0·48 vs. 0·35 in the combined analysis (P = 7·53 × 10-6 ); in controls, the frequency was 0·38, significantly different from Graves' disease but not Hashimoto's disease. After further adjustment for smoking, associations with rs4889009 remained significant, whereas those with rs753760 were not. CONCLUSION Common variants in PDE10A and MAF gene regions may influence whether patients with AITD develop Graves' disease or Hashimoto's disease.
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Affiliation(s)
- Purdey Campbell
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Australia
| | - Thomas H Brix
- Department of Endocrinology and Metabolism, Odense University Hospital, Odense, Denmark
| | - Scott G Wilson
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Australia
- School of Medicine and Pharmacology, University of Western Australia, Crawley, Australia
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Lynley C Ward
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Australia
| | - Jennie Hui
- Pathwest Laboratory Medicine WA, Nedlands, WA, Australia
| | - John P Beilby
- Pathwest Laboratory Medicine WA, Nedlands, WA, Australia
- School of Pathology and Laboratory Medicine, University of Western Australia, Nedlands, WA, Australia
| | - Laszlo Hegedüs
- Department of Endocrinology and Metabolism, Odense University Hospital, Odense, Denmark
| | - John P Walsh
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Australia
- School of Medicine and Pharmacology, University of Western Australia, Crawley, Australia
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20
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Function-impairing polymorphisms of the hepatic uptake transporter SLCO1B1 modify the therapeutic efficacy of statins in a population-based cohort. Pharmacogenet Genomics 2015; 25:8-18. [PMID: 25379722 DOI: 10.1097/fpc.0000000000000098] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND The efficacy of statins, which are used commonly in primary and secondary prevention of cardiovascular diseases, shows a wide range of interindividual variability. Genetic variants of OATP1B1, a hepatic uptake transporter, can modify access of statins to its therapeutic target, thereby potentially altering drug efficacy. We studied the impact of genetic variants of OATP1B1 on the lipid-lowering efficacy of statins in a population-based setting. MATERIALS AND METHODS The basis of the analysis was the Study of Health in Pomerania, a cohort of 2732 men and women aged 20-81 years. Included in the statistical analysis to evaluate the impact of OATP1B1 on therapeutic efficacy of statins were 214 individuals diagnosed with dyslipidaemia during initial recruitment and receiving statins during the 5-year follow-up. RESULTS Analysing the impact of the OATP1B1 genotype, we observed a trend for lower statin-induced total cholesterol reduction in carriers of the SLCO1B1 512C variant. Restricting the analysis to patients receiving simvastatin, pravastatin, lovastatin and fluvastatin indicated a statistically significant association of the OATP1B1 genotype on lipid parameters at the 5-year follow-up. No such effect was observed for atorvastatin. Calculation of achievement of treatment goals according to the NCEP-ATPIII guidelines showed a lower rate of successful treatment when harbouring the mutant allele for patients taking simvastatin (46.7 vs. 73.9%). A similar trend was observed for pravastatin (34.4 vs. 70.4%). CONCLUSION Genetic variants of OATP1B1 leading to impaired hepatic uptake of statins translated into reduced drug efficacy in a population-based cohort.
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Tarnoki AD, Tarnoki DL, Speer G, Littvay L, Bata P, Garami Z, Berczi V, Karlinger K. Genetic and environmental influence on thyroid gland volume and thickness of thyroid isthmus: a twin study. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2015; 59:487-94. [PMID: 26421673 DOI: 10.1590/2359-3997000000110] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Accepted: 08/19/2015] [Indexed: 11/22/2022]
Abstract
OBJECTIVES Decreased thyroid volume has been related to increased prevalence of thyroid cancer. SUBJECTS AND METHODS One hundred and fourteen Hungarian adult twin pairs (69 monozygotic, 45 dizygotic) with or without known thyroid disorders underwent thyroid ultrasound. Thickness of the thyroid isthmus was measured at the thickest portion of the gland in the midline using electronic calipers at the time of scanning. Volume of the thyroid lobe was computed according to the following formula: thyroid height*width*depth*correction factor (0.63). RESULTS Age-, sex-, body mass index- and smoking-adjusted heritability of the thickness of thyroid isthmus was 50% (95% confidence interval [CI], 35 to 66%). Neither left nor right thyroid volume showed additive genetic effects, but shared environments were 68% (95% CI, 48 to 80%) and 79% (95% CI, 72 to 87%), respectively. Magnitudes of monozygotic and dizygotic co-twin correlations were not substantially impacted by the correction of covariates of body mass index and smoking. Unshared environmental effects showed a moderate influence on dependent parameters (24-50%). CONCLUSIONS Our analysis support that familial factors are important for thyroid measures in a general twin population. A larger sample size is needed to show whether this is because of common environmental (e.g. intrauterine effects, regional nutrition habits, iodine supply) or genetic effects.
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Affiliation(s)
| | - David Laszlo Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
| | - Gabor Speer
- Department of Medicine, Policlinic of Hospitaller Brothers of St. John of Good, Budapest, Hungary
| | | | - Pal Bata
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
| | - Zsolt Garami
- Houston Methodist DeBakey Heart & Vascular Center,, The Houston Methodist Hospital, Houston, TX, USA
| | - Viktor Berczi
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
| | - Kinga Karlinger
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
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22
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Schultheiss UT, Teumer A, Medici M, Li Y, Daya N, Chaker L, Homuth G, Uitterlinden AG, Nauck M, Hofman A, Selvin E, Völzke H, Peeters RP, Köttgen A. A genetic risk score for thyroid peroxidase antibodies associates with clinical thyroid disease in community-based populations. J Clin Endocrinol Metab 2015; 100:E799-807. [PMID: 25719932 PMCID: PMC4422885 DOI: 10.1210/jc.2014-4352] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
CONTEXT Antibodies against thyroid peroxidase (TPOAbs) are detected in 90% of all patients with Hashimoto thyroiditis, the most common cause of hypothyroidism. Hypothyroidism is associated with a range of adverse outcomes. The current knowledge of its genetic underpinnings is limited. OBJECTIVE The purpose of this study was to identify novel genetic variants associated with TPOAb concentrations and positivity using genome-wide association data and to characterize their association with thyroid function and disease. DESIGN, SETTING, AND PARTICIPANTS We studied European ancestry participants of 3 independent prospective population-based studies: Atherosclerosis Risk In Communities study (n = 7524), Study of Health in Pomerania (n = 3803), and Study of Health in Pomerania-TREND (n = 887). EXPOSURE Single nucleotide polymorphisms (SNPs), individually and combined into a genetic risk score (GRS), were examined. MAIN OUTCOMES The main outcomes were TPOAb concentrations and positivity, thyroid hormone concentrations (TSH, free T4), and clinical thyroid diseases (subclinical and overt hypothyroidism and goiter). RESULTS Significantly associated single nucleotide polymorphisms (P < 5 · 10(-8)) mapped into 4 genomic regions not previously implicated for TPOAbs (RERE, extended HLA region) and into 5 previously described loci. A higher Genetic Risk Score (GRS) based on these 9 SNPs showed strong and graded associations with higher TPOAb, TSH, and lower free T4 concentrations (P < .001). Compared with individuals in the lowest GRS quartile, those in the highest quartile had 1.80-fold higher odds of subclinical hypothyroidism (95% confidence interval, 1.27-2.55) and 1.89-fold higher odds of overt hypothyroidism (95% confidence interval, 1.24-2.87). CONCLUSION The identification of 4 novel genetic loci associated with TPOAb concentrations and positivity gives further insight into the genetic underpinnings of hypothyroidism. A GRS showed strong and graded associations with markers of thyroid function and disease in independent population-based studies.
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Affiliation(s)
- Ulla T Schultheiss
- Renal Division (U.T.S., Y.L., A.K.), Department of Medicine IV, Medical Center, University of Freiburg, 79106 Freiburg, Germany; Department of Internal Medicine and Rotterdam Thyroid Center (M.M., L.C., A.G.U., R.P.P.) and Department of Epidemiology (L.C., A.H.), Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands; Institute for Community Medicine (A.T., H.V.), Interfaculty Institute for Genetics and Functional Genomics (G.H.), and Institute of Clinical Chemistry and Laboratory Medicine (M.N.), University Medicine Greifswald, 17475 Greifswald, Germany; and Department of Epidemiology (N.D., E.S., A.K.), Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205
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23
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Medici M, Visser WE, Visser TJ, Peeters RP. Genetic determination of the hypothalamic-pituitary-thyroid axis: where do we stand? Endocr Rev 2015; 36:214-44. [PMID: 25751422 DOI: 10.1210/er.2014-1081] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
For a long time it has been known that both hypo- and hyperthyroidism are associated with an increased risk of morbidity and mortality. In recent years, it has also become clear that minor variations in thyroid function, including subclinical dysfunction and variation in thyroid function within the reference range, can have important effects on clinical endpoints, such as bone mineral density, depression, metabolic syndrome, and cardiovascular mortality. Serum thyroid parameters show substantial interindividual variability, whereas the intraindividual variability lies within a narrow range. This suggests that every individual has a unique hypothalamus-pituitary-thyroid axis setpoint that is mainly determined by genetic factors, and this heritability has been estimated to be 40-60%. Various mutations in thyroid hormone pathway genes have been identified in persons with thyroid dysfunction or altered thyroid function tests. Because these causes are rare, many candidate gene and linkage studies have been performed over the years to identify more common variants (polymorphisms) associated with thyroid (dys)function, but only a limited number of consistent associations have been found. However, in the past 5 years, advances in genetic research have led to the identification of a large number of new candidate genes. In this review, we provide an overview of the current knowledge about the polygenic basis of thyroid (dys)function. This includes new candidate genes identified by genome-wide approaches, what insights these genes provide into the genetic basis of thyroid (dys)function, and which new techniques will help to further decipher the genetic basis of thyroid (dys)function in the near future.
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Affiliation(s)
- Marco Medici
- Rotterdam Thyroid Center, Department of Internal Medicine, Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands
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24
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Weiss FU, Schurmann C, Guenther A, Ernst F, Teumer A, Mayerle J, Simon P, Völzke H, Radke D, Greinacher A, Kuehn JP, Zenker M, Völker U, Homuth G, Lerch MM. Fucosyltransferase 2 (FUT2) non-secretor status and blood group B are associated with elevated serum lipase activity in asymptomatic subjects, and an increased risk for chronic pancreatitis: a genetic association study. Gut 2015; 64:646-56. [PMID: 25028398 DOI: 10.1136/gutjnl-2014-306930] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Serum lipase activities above the threefold upper reference limit indicate acute pancreatitis. We investigated whether high lipase activity-within the reference range and in the absence of pancreatitis-are associated with genetic single nucleotide polymorphisms (SNP), and whether these identified SNPs are also associated with clinical pancreatitis. METHODS Genome-wide association studies (GWAS) on phenotypes 'serum lipase activity' and 'high serum lipase activity' were conducted including 3966 German volunteers from the population-based Study-of-Health-in-Pomerania (SHIP). Lead SNPs associated on a genome-wide significance level were replicated in two cohorts, 1444 blood donors and 1042 pancreatitis patients. RESULTS Initial discovery GWAS detected SNPs within or near genes encoding the ABO blood group specifying transferases A/B (ABO), Fucosyltransferase-2 (FUT2), and Chymotrypsinogen-B2 (CTRB2), to be significantly associated with lipase activity levels in asymptomatic subjects. Replication analyses in blood donors confirmed the association of FUT-2 non-secretor status (OR=1.49; p=0.012) and ABO blood-type-B (OR=2.48; p=7.29×10(-8)) with high lipase activity levels. In pancreatitis patients, significant associations were found for FUT-2 non-secretor status (OR=1.53; p=8.56×10(-4)) and ABO-B (OR=1.69, p=1.0×10(-4)) with chronic pancreatitis, but not with acute pancreatitis. Conversely, carriers of blood group O were less frequently affected by chronic pancreatitis (OR=0.62; p=1.22×10(-05)) and less likely to have high lipase activity levels (OR=0.59; p=8.14×10(-05)). CONCLUSIONS These are the first results indicating that ABO blood type-B as well as FUT2 non-secretor status are common population-wide risk factors for developing chronic pancreatitis. They also imply that, even within the reference range, elevated lipase activities may indicate subclinical pancreatic injury in asymptomatic subjects.
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Affiliation(s)
- Frank Ulrich Weiss
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Claudia Schurmann
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany The Charles Bronfman Institute for Personalized Medicine, Genetics of Obesity & Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Annett Guenther
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Florian Ernst
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Alexander Teumer
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Julia Mayerle
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Peter Simon
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Dörte Radke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Andreas Greinacher
- Department of Transfusion Medicine, Institute of Immunology and Transfusion Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Jens-Peter Kuehn
- Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Martin Zenker
- Institute of Human Genetics, Otto-von-Guericke-Universität Magdeburg, University Hospital Magdeburg, Germany
| | - Uwe Völker
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Georg Homuth
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Markus M Lerch
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
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Feng S, Lin S, Zou J, Wang Y, Ji Q, Lv Z. Association between rs12045440 Polymorphism in the CAPZB Intron and Serum TSH Concentrations in Chinese Thyroid Tumor Patients. Int J Endocrinol 2015; 2015:250542. [PMID: 26273293 PMCID: PMC4529963 DOI: 10.1155/2015/250542] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2015] [Accepted: 07/07/2015] [Indexed: 12/18/2022] Open
Abstract
The aim of this study was to investigate the possible influence of different genotypes of the lead single nucleotide polymorphisms (SNPs) rs10917468 and rs12045440 in the CAPZB gene on the thyroid function in papillary thyroid carcinoma (PTC) and benign thyroid neoplasm (BN) patients. In the study, a significant association was detected between rs12045440 and serum TSH concentrations in thyroid tumor patients (p = 0.001). After the adjustment of relevant covariates, the difference between the mean serum TSH levels in different genotypes of rs12045440 was still significant in the BN group (p = 0.003) but was not significant in the PTC cases (p = 0.115). No significant association of rs10917468 with TSH levels was found. The SNP rs12045440 was associated with the serum TSH concentrations in Chinese thyroid tumor patients, especially in benign thyroid tumor cases.
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Affiliation(s)
- Shouhao Feng
- Department of Otorhinolaryngology-Head and Neck Surgery, Provincial Hospital Affiliated to Shandong University, Jinan 250021, China
- Department of Head and Neck Surgery, Cancer Hospital, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Shengli Lin
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Jidong Zou
- Department of Otorhinolaryngology-Head and Neck Surgery, Provincial Hospital Affiliated to Shandong University, Jinan 250021, China
| | - Yulong Wang
- Department of Head and Neck Surgery, Cancer Hospital, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Qinghai Ji
- Department of Head and Neck Surgery, Cancer Hospital, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- *Qinghai Ji: and
| | - Zhenghua Lv
- Department of Otorhinolaryngology-Head and Neck Surgery, Provincial Hospital Affiliated to Shandong University, Jinan 250021, China
- *Zhenghua Lv:
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26
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Abstract
Thyroid nodules are common and, depending on the detection technique used, can affect 50% or greater of the population. The primary diagnostic test to assess the nature of these nodules is fine-needle aspiration cytology. Most thyroid nodules are benign and often are multiple. However, the morphology of these nodules may mimic neoplasms showing features such as papillary growth, micro-follicles and even oncocytic metaplasia. Lesions with these features may be considered indeterminate for neoplasm or malignancy, and often require surgical excision to define their nature. The role of cytopathology in this area is to screen those definitely benign nodules, thus preventing surgery and reassuring both the patient and the clinician. In this review, we demonstrate many of the morphological manifestations of nodular goiter and stress the necessity of careful preparatory techniques. Although the past several years have witnessed the development of molecular testing to refine diagnostic cytology in the thyroid, it is still the role of the cytopathologist to identify those "indeterminant" nodules which should be tested. Thus, the cytopathologist contributes both an essential diagnostic and an important cost saving role which hopefully will continue in the future.
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Affiliation(s)
- Zubair W Baloch
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Medical Center, Perelman School of Medicine, 3400 Spruce Street, Founders 6, Philadelphia, PA 19104, USA.
| | - Virginia A LiVolsi
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Medical Center, Perelman School of Medicine, 3400 Spruce Street, Founders 6, Philadelphia, PA 19104, USA.
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27
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McLachlan SM, Hamidi S, Aliesky H, Williams RW, Rapoport B. Sex, genetics, and the control of thyroxine and thyrotropin in mice. Thyroid 2014; 24:1080-7. [PMID: 24564389 PMCID: PMC4080870 DOI: 10.1089/thy.2014.0003] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND Previously, we studied the genetic basis for variability in total thyroxine (TT4) as part of investigating induced Graves' hyperthyroidism in panels of genetically diverse recombinant inbred (RI) mice. Because Graves' disease occurs predominantly in women, we used female mice. A limitation of this approach is that thyrotropin (TSH) is undetectable by some assays in most female mice. METHOD Variation in levels of serum TSH, TT4, and free thyroxine (FT4) was measured in males from three related RI families (CXB, BXH, and AXBXA) followed by quantitative genetic analysis and mapping of these traits. RESULTS In general, TSH levels were higher in males than females. FT4 levels were also higher in males than in females, but TT4 sex differences were absent or inconsistent. Chromosomal linkage was only observed for TSH in BXH males and for FT4 in AXBXA males. Different chromosomes were linked to TT4 in males of the three RI sets. The most striking finding came from genetic linkages in males versus our previous data for females. TT4 was linked to the same chromosomal loci in CXB males and females. In contrast, TT4, FT4, and TSH were linked to different "sex-specific chromosomes" in AXBXA and BXH families. CONCLUSIONS In three RI mouse families, TSH and FT4 were significantly higher in males than females. Linkage analysis revealed chromosomal overlap for TT4 in males and females for one RI set but striking sex differences for TT4, FT4, and TSH linkage in two RI sets. Our findings provide a cautionary note: genetic linkage analysis of thyroid hormones traits in mice should be studied separately in males and females.
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Affiliation(s)
- Sandra M. McLachlan
- Thyroid Autoimmune Disease Unit, Cedars-Sinai Research Institute and UCLA School of Medicine, Los Angeles, California
| | - Sepehr Hamidi
- Thyroid Autoimmune Disease Unit, Cedars-Sinai Research Institute and UCLA School of Medicine, Los Angeles, California
| | - Holly Aliesky
- Thyroid Autoimmune Disease Unit, Cedars-Sinai Research Institute and UCLA School of Medicine, Los Angeles, California
| | - Robert W. Williams
- Department of Anatomy and Neurobiology, University of Tennessee Health-Science Center, Memphis, Tennessee
| | - Basil Rapoport
- Thyroid Autoimmune Disease Unit, Cedars-Sinai Research Institute and UCLA School of Medicine, Los Angeles, California
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Delitala AP, Pilia MG, Ferreli L, Loi F, Curreli N, Balaci L, Schlessinger D, Cucca F. Prevalence of unknown thyroid disorders in a Sardinian cohort. Eur J Endocrinol 2014; 171:143-9. [PMID: 24917664 PMCID: PMC4527527 DOI: 10.1530/eje-14-0182] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To assess thyroid function, the presence of thyroid antibodies, as well as the presence of goiter and/or nodules in subjects without a prior diagnosis of thyroid disorders, in a region with mild to moderate iodine deficiency. DESIGN AND METHODS This cross-sectional study is based on data obtained from first and third visits of participants in the Sardinian survey. We performed two different analyses. In one, we assessed the prevalence of unknown thyroid dysfunctions among 6252 subjects who had a medical examination and blood collection for assays of thyrotropin, free thyroxine, and antibodies against thyroperoxidase (AbTPO) and against thyroglobulin (AbTG). In a second analysis, we evaluated the frequency of undiagnosed goiter and nodules among 3377 subjects who had a thyroid ultrasound scan. Subjects were excluded if they had a previous history of thyroid disorders or presence of goiter and/or nodules, or thyroid surgery, or if they were taking drugs that could impair thyroid function. RESULTS We found a low prevalence of overt thyroid dysfunction (hyperthyroidism 0.4% and hypothyroidism 0.7%). The rates of subclinical hypothyroidism and hyperthyroidism were 4.7 and 2.4% respectively. Almost 16% of participants were positive for at least one antibody and 5.2% for both AbTG and AbTPO. Nodules were detected in 17.4% of subjects and the prevalence of goiter was 22.1%. CONCLUSIONS Undiagnosed biochemical thyroid dysfunctions, unknown nodules, and goiter were common in subjects living in a mild to moderate iodine-deficient area. In this community, thyroid disorders often go undetected and screening could be reasonable in subjects at a higher risk.
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Affiliation(s)
- Alessandro P Delitala
- Department of Clinical and Experimental MedicineUniversity of Sassari, Viale San Pietro 8, 07100 Sassari, ItalyIstituto di Ricerca Genetica e Biomedica (IRGB)Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Cagliari, ItalyLaboratory of GeneticsNational Institute on Aging, Baltimore, MD 21224, USADepartment of Biochemical ScienceUniversity of Sassari, Sassari, Italy
| | - Maria Grazia Pilia
- Department of Clinical and Experimental MedicineUniversity of Sassari, Viale San Pietro 8, 07100 Sassari, ItalyIstituto di Ricerca Genetica e Biomedica (IRGB)Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Cagliari, ItalyLaboratory of GeneticsNational Institute on Aging, Baltimore, MD 21224, USADepartment of Biochemical ScienceUniversity of Sassari, Sassari, Italy
| | - Liana Ferreli
- Department of Clinical and Experimental MedicineUniversity of Sassari, Viale San Pietro 8, 07100 Sassari, ItalyIstituto di Ricerca Genetica e Biomedica (IRGB)Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Cagliari, ItalyLaboratory of GeneticsNational Institute on Aging, Baltimore, MD 21224, USADepartment of Biochemical ScienceUniversity of Sassari, Sassari, Italy
| | - Francesco Loi
- Department of Clinical and Experimental MedicineUniversity of Sassari, Viale San Pietro 8, 07100 Sassari, ItalyIstituto di Ricerca Genetica e Biomedica (IRGB)Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Cagliari, ItalyLaboratory of GeneticsNational Institute on Aging, Baltimore, MD 21224, USADepartment of Biochemical ScienceUniversity of Sassari, Sassari, Italy
| | - Nicolò Curreli
- Department of Clinical and Experimental MedicineUniversity of Sassari, Viale San Pietro 8, 07100 Sassari, ItalyIstituto di Ricerca Genetica e Biomedica (IRGB)Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Cagliari, ItalyLaboratory of GeneticsNational Institute on Aging, Baltimore, MD 21224, USADepartment of Biochemical ScienceUniversity of Sassari, Sassari, Italy
| | - Lenuta Balaci
- Department of Clinical and Experimental MedicineUniversity of Sassari, Viale San Pietro 8, 07100 Sassari, ItalyIstituto di Ricerca Genetica e Biomedica (IRGB)Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Cagliari, ItalyLaboratory of GeneticsNational Institute on Aging, Baltimore, MD 21224, USADepartment of Biochemical ScienceUniversity of Sassari, Sassari, Italy
| | - David Schlessinger
- Department of Clinical and Experimental MedicineUniversity of Sassari, Viale San Pietro 8, 07100 Sassari, ItalyIstituto di Ricerca Genetica e Biomedica (IRGB)Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Cagliari, ItalyLaboratory of GeneticsNational Institute on Aging, Baltimore, MD 21224, USADepartment of Biochemical ScienceUniversity of Sassari, Sassari, Italy
| | - Francesco Cucca
- Department of Clinical and Experimental MedicineUniversity of Sassari, Viale San Pietro 8, 07100 Sassari, ItalyIstituto di Ricerca Genetica e Biomedica (IRGB)Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Cagliari, ItalyLaboratory of GeneticsNational Institute on Aging, Baltimore, MD 21224, USADepartment of Biochemical ScienceUniversity of Sassari, Sassari, ItalyDepartment of Clinical and Experimental MedicineUniversity of Sassari, Viale San Pietro 8, 07100 Sassari, ItalyIstituto di Ricerca Genetica e Biomedica (IRGB)Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Cagliari, ItalyLaboratory of GeneticsNational Institute on Aging, Baltimore, MD 21224, USADepartment of Biochemical ScienceUniversity of Sassari, Sassari, ItalyDepartment of Clinical and Experimental MedicineUniversity of Sassari, Viale San Pietro 8, 07100 Sassari, ItalyIstituto di Ricerca Genetica e Biomedica (IRGB)Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Cagliari, ItalyLaboratory of GeneticsNational Institute on Aging, Baltimore, MD 21224, USADepartment of Biochemical ScienceUniversity of Sassari, Sassari, Italy
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Abstract
MicroRNAs (miRNAs) are important regulators of gene expression and translation. The genetic variants altering miRNA targets have been associated with many diseases. Here we systematically mapped the human genetic polymorphisms that may affect miRNA-mRNA interactions in the autoimmune thyroid disease (AITD) pathway. We also mapped the polymorphic miRNA target sites in the genes that have been linked to AITDs or other thyroid-related diseases/phenotypes in genome-wide association studies (GWAS). These genetic polymorphisms may potentially contribute to the pathogenesis of AITDs and other thyroid diseases. The polymorphic miRNA-mRNA interactions we mapped in the AITD pathway and the GWAS-informed thyroid disease loci may provide insights into the possible miRNA-mediated molecular mechanisms through which genetic variants assert their influences on thyroid diseases and phenotypes.
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Affiliation(s)
- Yan Cui
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center , Memphis, TN , USA and
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30
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Westra HJ, Peters MJ, Esko T, Yaghootkar H, Schurmann C, Kettunen J, Christiansen MW, Fairfax BP, Schramm K, Powell JE, Zhernakova A, Zhernakova DV, Veldink JH, Van den Berg LH, Karjalainen J, Withoff S, Uitterlinden AG, Hofman A, Rivadeneira F, Hoen PAC', Reinmaa E, Fischer K, Nelis M, Milani L, Melzer D, Ferrucci L, Singleton AB, Hernandez DG, Nalls MA, Homuth G, Nauck M, Radke D, Völker U, Perola M, Salomaa V, Brody J, Suchy-Dicey A, Gharib SA, Enquobahrie DA, Lumley T, Montgomery GW, Makino S, Prokisch H, Herder C, Roden M, Grallert H, Meitinger T, Strauch K, Li Y, Jansen RC, Visscher PM, Knight JC, Psaty BM, Ripatti S, Teumer A, Frayling TM, Metspalu A, van Meurs JB, Franke L. Systematic identification of trans eQTLs as putative drivers of known disease associations. Nat Genet 2013; 45:1238-1243. [PMID: 24013639 PMCID: PMC3991562 DOI: 10.1038/ng.2756] [Citation(s) in RCA: 1281] [Impact Index Per Article: 116.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2012] [Accepted: 08/14/2013] [Indexed: 12/11/2022]
Abstract
Identifying the downstream effects of disease-associated SNPs is challenging. To help overcome this problem, we performed expression quantitative trait locus (eQTL) meta-analysis in non-transformed peripheral blood samples from 5,311 individuals with replication in 2,775 individuals. We identified and replicated trans eQTLs for 233 SNPs (reflecting 103 independent loci) that were previously associated with complex traits at genome-wide significance. Some of these SNPs affect multiple genes in trans that are known to be altered in individuals with disease: rs4917014, previously associated with systemic lupus erythematosus (SLE), altered gene expression of C1QB and five type I interferon response genes, both hallmarks of SLE. DeepSAGE RNA sequencing showed that rs4917014 strongly alters the 3' UTR levels of IKZF1 in cis, and chromatin immunoprecipitation and sequencing analysis of the trans-regulated genes implicated IKZF1 as the causal gene. Variants associated with cholesterol metabolism and type 1 diabetes showed similar phenomena, indicating that large-scale eQTL mapping provides insight into the downstream effects of many trait-associated variants.
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Affiliation(s)
- Harm-Jan Westra
- Department of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, the Netherlands
| | - Marjolein J. Peters
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, the Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, the Netherlands
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Riia 23b, 51010, Tartu, Estonia
| | - Hanieh Yaghootkar
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, EX1 2LU, UK
| | - Claudia Schurmann
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, D-17487 Greifswald, Germany
| | - Johannes Kettunen
- Institute for Molecular Medicine Finland FIMM, FI-00014 University of Helsinki, Helsinki, Finland
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | | | - Benjamin P. Fairfax
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, UK
- Department of Oncology, Cancer and Haematology Centre, Churchill Hospital, Oxford, OX3 7LJ
| | - Katharina Schramm
- Institute of Human Genetics, Helmholz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technical University Munich, Munich, Germany
| | - Joseph E. Powell
- University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- The Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Alexandra Zhernakova
- Department of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, the Netherlands
| | - Daria V Zhernakova
- Department of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, the Netherlands
| | - Jan H. Veldink
- Department of Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Leonard H. Van den Berg
- Department of Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Juha Karjalainen
- Department of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, the Netherlands
| | - Sebo Withoff
- Department of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, the Netherlands
| | - André G. Uitterlinden
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, the Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center Rotterdam, the Netherlands
| | - Albert Hofman
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center Rotterdam, the Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, the Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center Rotterdam, the Netherlands
| | - Peter A C 't Hoen
- Center for Human and Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Eva Reinmaa
- Estonian Genome Center, University of Tartu, Riia 23b, 51010, Tartu, Estonia
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, Riia 23b, 51010, Tartu, Estonia
| | - Mari Nelis
- Estonian Genome Center, University of Tartu, Riia 23b, 51010, Tartu, Estonia
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Riia 23b, 51010, Tartu, Estonia
| | - David Melzer
- Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Barrack Road, Exeter, EX2 5DW, UK
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute on Aging NIA-ASTRA Unit, Harbor Hospital, MD, USA
| | - Andrew B. Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, 35 Lincoln Drive, Bethesda, MD, USA
| | - Dena G. Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, 35 Lincoln Drive, Bethesda, MD, USA
- Department of Molecular Neuroscience and Reta Lila Laboratories, Institute of Neurology, UCL, Queen Square House, Queen Square, London WC1N 3BG, UK
| | - Michael A. Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, 35 Lincoln Drive, Bethesda, MD, USA
| | - Georg Homuth
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, D-17487 Greifswald, Germany
| | - Matthias Nauck
- Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, D-17475 Greifswald, Germany
| | - Dörte Radke
- Institute for Community Medicine, University Medicine Greifswald, D-17487 Greifswald, Germany
| | - Uwe Völker
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, D-17487 Greifswald, Germany
| | - Markus Perola
- Estonian Genome Center, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | - Veikko Salomaa
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | - Jennifer Brody
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | | | - Sina A. Gharib
- Computational Medicine Core, Center for Lung Biology, Division of Pulmonary & Critical Care Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - Thomas Lumley
- Department of Statistics, University of Auckland, Auckland, New Zealand
| | | | - Seiko Makino
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Holger Prokisch
- Institute of Human Genetics, Helmholz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technical University Munich, Munich, Germany
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, University Düsseldorf, Düsseldorf, Germany
| | - Michael Roden
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, University Düsseldorf, Düsseldorf, Germany
- Departments of Endocrinology & Diabetology & Metabolic Diseases, University Hospital Düsseldorf, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technical University Munich, Munich, Germany
- German Center for Cardiovascular Research (DZHK), Germany; Munich Heart Allience, Munich, Germany
| | - Konstantin Strauch
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Neuherberg, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - Yang Li
- Groningen Bioinformatics Centre, University of Groningen, Groningen, the Netherlands
| | - Ritsert C. Jansen
- Groningen Bioinformatics Centre, University of Groningen, Groningen, the Netherlands
| | - Peter M. Visscher
- University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- The Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Julian C. Knight
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland FIMM, FI-00014 University of Helsinki, Helsinki, Finland
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, FI-00271 Helsinki, Finland
- Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus,CB10 1SA, Hinxton, UK
| | - Alexander Teumer
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, D-17487 Greifswald, Germany
| | - Timothy M. Frayling
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, EX1 2LU, UK
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Riia 23b, 51010, Tartu, Estonia
| | - Joyce B.J. van Meurs
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, the Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, the Netherlands
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, the Netherlands
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Xu M, Bi Y, Cui B, Hong J, Wang W, Ning G. The new perspectives on genetic studies of type 2 diabetes and thyroid diseases. Curr Genomics 2013; 14:33-48. [PMID: 23997649 PMCID: PMC3580778 DOI: 10.2174/138920213804999138] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2012] [Revised: 11/16/2012] [Accepted: 11/19/2012] [Indexed: 12/18/2022] Open
Abstract
Recently, genome-wide association studies (GWAS) have led to the discovery of hundreds of susceptibility loci that are associated with complex metabolic diseases, such as type 2 diabetes and hyperthyroidism. The majority of the susceptibility loci are common across different races or populations; while some of them show ethnicity-specific distribution. Though the abundant novel susceptibility loci identified by GWAS have provided insight into biology through the discovery of new genes or pathways that were previously not known, most of them are in introns and the associated variants cumulatively explain only a small fraction of total heritability. Here we reviewed the genetic studies on the metabolic disorders, mainly type 2 diabetes and hyperthyroidism, including candidate genes-based findings and more recently the GWAS discovery; we also included the clinical relevance of these novel loci and the gene-environmental interactions. Finally, we discussed the future direction about the genetic study on the exploring of the pathogenesis of the metabolic diseases.
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Affiliation(s)
- Min Xu
- Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, E-Institute of Shanghai Universities, Shanghai, China
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Hamidi S, Aliesky HA, Williams RW, Rapoport B, McLachlan SM. Genetic linkages for thyroxine released in response to thyrotropin stimulation in three sets of recombinant inbred mice provide evidence for shared and novel genes controlling thyroid function. Thyroid 2013; 23:360-70. [PMID: 22988948 PMCID: PMC3593690 DOI: 10.1089/thy.2012.0338] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Graves' hyperthyroidism is induced by immunizing mice with adenovirus expressing the human thyrotropin (TSH)-receptor. Using families of recombinant-inbred mice, we previously discovered that genetic susceptibility to induced thyroid-stimulating antibodies and hyperthyroidism are linked to loci on different chromosomes, indicating a fundamental genetic difference in thyroid sensitivity to ligand stimulation. An approach to assess thyroid sensitivity involves challenging genetically diverse lines of mice with TSH and measuring the genotype/strain-specific increase in serum thyroxine (T4). METHODS We investigated genetic susceptibility and genetic control of T4 stimulation by 10 mU bovine TSH in female mice of the CXB, BXH, and AXB/BXA strain families, all previously studied for induced Graves' hyperthyroidism. RESULTS Before TSH injection, T4 levels must be suppressed by inhibiting endogenous TSH secretion. Three daily intraperitoneal L-triiodothyronine injections efficiently suppressed serum T4 in females of 50 of 51 recombinant inbred strains. T4 stimulation by TSH was more strongly linked in CXB and BXH sets, derived from parental strains with divergent T4 stimulation, than in AXB/BXA strains generated from parents with similar TSH-induced responses. Genetic loci linked to the acute TSH-induced T4 response (hours) were not the same as those linked to induced hyperthyroidism (which develops over months). CONCLUSIONS Genetic susceptibility for thyroid sensitivity to TSH stimulation was distinct for three families of inbred mouse lines. These observations parallel the human situation with multiple genetic loci contributing to the same trait and different loci associated with the same trait in different ethnic groups. Of the genetic loci highlighted in mice, three overlap with, or are located up or downstream, of human TSH-controlling genes. Other studies show that human disease genes can be identified through cross-species gene mapping of evolutionary conserved processes. Consequently, our findings suggest that novel thyroid function genes may yet be revealed in humans.
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Affiliation(s)
- Sepehr Hamidi
- Thyroid Autoimmune Disease Unit, Cedars-Sinai Research Institute, Los Angeles, California
- The David Geffen School of Medicine, University of California, Los Angeles, California
| | - Holly A. Aliesky
- Thyroid Autoimmune Disease Unit, Cedars-Sinai Research Institute, Los Angeles, California
| | - Robert W. Williams
- Department of Anatomy and Neurobiology, University of Tennessee Health-Science Center, Memphis, Tennessee
| | - Basil Rapoport
- Thyroid Autoimmune Disease Unit, Cedars-Sinai Research Institute, Los Angeles, California
- The David Geffen School of Medicine, University of California, Los Angeles, California
| | - Sandra M. McLachlan
- Thyroid Autoimmune Disease Unit, Cedars-Sinai Research Institute, Los Angeles, California
- The David Geffen School of Medicine, University of California, Los Angeles, California
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33
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Porcu E, Medici M, Pistis G, Volpato CB, Wilson SG, Cappola AR, Bos SD, Deelen J, den Heijer M, Freathy RM, Lahti J, Liu C, Lopez LM, Nolte IM, O'Connell JR, Tanaka T, Trompet S, Arnold A, Bandinelli S, Beekman M, Böhringer S, Brown SJ, Buckley BM, Camaschella C, de Craen AJM, Davies G, de Visser MCH, Ford I, Forsen T, Frayling TM, Fugazzola L, Gögele M, Hattersley AT, Hermus AR, Hofman A, Houwing-Duistermaat JJ, Jensen RA, Kajantie E, Kloppenburg M, Lim EM, Masciullo C, Mariotti S, Minelli C, Mitchell BD, Nagaraja R, Netea-Maier RT, Palotie A, Persani L, Piras MG, Psaty BM, Räikkönen K, Richards JB, Rivadeneira F, Sala C, Sabra MM, Sattar N, Shields BM, Soranzo N, Starr JM, Stott DJ, Sweep FCGJ, Usala G, van der Klauw MM, van Heemst D, van Mullem A, H.Vermeulen S, Visser WE, Walsh JP, Westendorp RGJ, Widen E, Zhai G, Cucca F, Deary IJ, Eriksson JG, Ferrucci L, Fox CS, Jukema JW, Kiemeney LA, Pramstaller PP, Schlessinger D, Shuldiner AR, Slagboom EP, Uitterlinden AG, Vaidya B, Visser TJ, Wolffenbuttel BHR, Meulenbelt I, Rotter JI, Spector TD, Hicks AA, Toniolo D, Sanna S, Peeters RP, Naitza S. A meta-analysis of thyroid-related traits reveals novel loci and gender-specific differences in the regulation of thyroid function. PLoS Genet 2013; 9:e1003266. [PMID: 23408906 PMCID: PMC3567175 DOI: 10.1371/journal.pgen.1003266] [Citation(s) in RCA: 167] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2012] [Accepted: 11/12/2012] [Indexed: 12/15/2022] Open
Abstract
Thyroid hormone is essential for normal metabolism and development, and overt abnormalities in thyroid function lead to common endocrine disorders affecting approximately 10% of individuals over their life span. In addition, even mild alterations in thyroid function are associated with weight changes, atrial fibrillation, osteoporosis, and psychiatric disorders. To identify novel variants underlying thyroid function, we performed a large meta-analysis of genome-wide association studies for serum levels of the highly heritable thyroid function markers TSH and FT4, in up to 26,420 and 17,520 euthyroid subjects, respectively. Here we report 26 independent associations, including several novel loci for TSH (PDE10A, VEGFA, IGFBP5, NFIA, SOX9, PRDM11, FGF7, INSR, ABO, MIR1179, NRG1, MBIP, ITPK1, SASH1, GLIS3) and FT4 (LHX3, FOXE1, AADAT, NETO1/FBXO15, LPCAT2/CAPNS2). Notably, only limited overlap was detected between TSH and FT4 associated signals, in spite of the feedback regulation of their circulating levels by the hypothalamic-pituitary-thyroid axis. Five of the reported loci (PDE8B, PDE10A, MAF/LOC440389, NETO1/FBXO15, and LPCAT2/CAPNS2) show strong gender-specific differences, which offer clues for the known sexual dimorphism in thyroid function and related pathologies. Importantly, the TSH-associated loci contribute not only to variation within the normal range, but also to TSH values outside the reference range, suggesting that they may be involved in thyroid dysfunction. Overall, our findings explain, respectively, 5.64% and 2.30% of total TSH and FT4 trait variance, and they improve the current knowledge of the regulation of hypothalamic-pituitary-thyroid axis function and the consequences of genetic variation for hypo- or hyperthyroidism. Levels of thyroid hormones are tightly regulated by TSH produced in the pituitary, and even mild alterations in their concentrations are strong indicators of thyroid pathologies, which are very common worldwide. To identify common genetic variants associated with the highly heritable markers of thyroid function, TSH and FT4, we conducted a meta-analysis of genome-wide association studies in 26,420 and 17,520 individuals, respectively, of European ancestry with normal thyroid function. Our analysis identified 26 independent genetic variants regulating these traits, several of which are new, and confirmed previously detected polymorphisms affecting TSH (within the PDE8B gene and near CAPZB, MAF/LOC440389, and NR3C2) and FT4 (within DIO1) levels. Gender-specific differences in the genetic effects of several variants for TSH and FT4 levels were identified at several loci, which offer clues to understand the known sexual dimorphism in thyroid function and pathology. Of particular clinical interest, we show that TSH-associated loci contribute not only to normal variation, but also to TSH values outside reference range, suggesting that they may be involved in thyroid dysfunction. Overall, our findings add to the developing landscape of the regulation of thyroid homeostasis and the consequences of genetic variation for thyroid related diseases.
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Affiliation(s)
- Eleonora Porcu
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | - Marco Medici
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Giorgio Pistis
- Division of Genetics and Cell Biology, San Raffaele Research Institute, Milano, Italy
- Università degli Studi di Trieste, Trieste, Italy
| | - Claudia B. Volpato
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy (Affiliated Institute of the University of Lübeck, Lübeck, Germany)
| | - Scott G. Wilson
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
- School of Medicine and Pharmacology, University of Western Australia, Crawley, Western Australia, Australia
| | - Anne R. Cappola
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Steffan D. Bos
- Leiden University Medical Center, Molecular Epidemiology, Leiden, The Netherlands
- Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - Joris Deelen
- Leiden University Medical Center, Molecular Epidemiology, Leiden, The Netherlands
- Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - Martin den Heijer
- Department of Endocrinology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
- Department of Internal Medicine, Free University Medical Center, Amsterdam, The Netherlands
| | - Rachel M. Freathy
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, United Kingdom
| | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Chunyu Liu
- Center for Population Studies, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, United States of America
| | - Lorna M. Lopez
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Ilja M. Nolte
- Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Jeffrey R. O'Connell
- Department of Medicine, University of Maryland Medical School, Baltimore, Maryland, United States of America
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute on Aging, Baltimore, Maryland, United States of America
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Alice Arnold
- Cardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | | | - Marian Beekman
- Leiden University Medical Center, Molecular Epidemiology, Leiden, The Netherlands
- Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - Stefan Böhringer
- Leiden University Medical Center, Medical Statistics and Bioinformatics, Leiden, The Netherlands
| | - Suzanne J. Brown
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
| | - Brendan M. Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - Clara Camaschella
- Division of Genetics and Cell Biology, San Raffaele Research Institute, Milano, Italy
- Vita e Salute University, San Raffaele Scientific Institute, Milano, Italy
| | - Anton J. M. de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Gail Davies
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Marieke C. H. de Visser
- Department for Health Evidence, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Ian Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, United Kingdom
| | - Tom Forsen
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland
- Vaasa Health Care Centre, Diabetes Unit, Vaasa, Finland
| | - Timothy M. Frayling
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, United Kingdom
| | - Laura Fugazzola
- Endocrine Unit, Fondazione Ca' Granda Policlinico and Department of Clinical Sciences and Community Health, University of Milan, Milano, Italy
| | - Martin Gögele
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy (Affiliated Institute of the University of Lübeck, Lübeck, Germany)
| | - Andrew T. Hattersley
- Peninsula NIHR Clinical Research Facility, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, United Kingdom
| | - Ad R. Hermus
- Department of Endocrinology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)–sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The Netherlands
| | | | - Richard A. Jensen
- Cardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Eero Kajantie
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
- Hospital for Children and Adolescents, Helsinki University Central Hospital and University of Helsinki, Helsinki, Finland
| | - Margreet Kloppenburg
- Department of Clinical Epidemiology and Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ee M. Lim
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- Pathwest Laboratory Medicine WA, Nedlands, Western Australia, Australia
| | - Corrado Masciullo
- Division of Genetics and Cell Biology, San Raffaele Research Institute, Milano, Italy
| | - Stefano Mariotti
- Dipartimento di Scienze Mediche, Università di Cagliari, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
| | - Cosetta Minelli
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy (Affiliated Institute of the University of Lübeck, Lübeck, Germany)
| | - Braxton D. Mitchell
- Department of Medicine, University of Maryland Medical School, Baltimore, Maryland, United States of America
| | - Ramaiah Nagaraja
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland, United States of America
| | - Romana T. Netea-Maier
- Department of Endocrinology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Aarno Palotie
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, United Kingdom
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland
| | - Luca Persani
- Department of Clinical Sciences and Community Health, University of Milan, Milano, Italy
- Division of Endocrinology and Metabolic Diseases, IRCCS Ospedale San Luca, Milan, Italy
| | - Maria G. Piras
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, Washington, United States of America
- Group Health Research Institute, Group Health Cooperative, Seattle, Washington, United States of America
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - J. Brent Richards
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
- Department of Medicine, Jewish General Hospital, McGill University, Montréal, Québec, Canada
- Departments of Human Genetics, Epidemiology, and Biostatistics, Jewish General Hospital, Lady Davis Institute, McGill University, Montréal, Québec
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)–sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The Netherlands
| | - Cinzia Sala
- Division of Genetics and Cell Biology, San Raffaele Research Institute, Milano, Italy
| | - Mona M. Sabra
- Memorial Sloan Kettering Cancer Center, Medicine-Endocrinology, New York, New York, United States of America
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, United Kingdom
| | - Beverley M. Shields
- Peninsula NIHR Clinical Research Facility, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, United Kingdom
| | - Nicole Soranzo
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, United Kingdom
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, United Kingdom
| | - David J. Stott
- Academic Section of Geriatric Medicine, Faculty of Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Fred C. G. J. Sweep
- Department of Laboratory Medicine, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Gianluca Usala
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
| | - Melanie M. van der Klauw
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Diana van Heemst
- Leiden University Medical Center, Gerontology and Geriatrics, Leiden, The Netherlands
| | - Alies van Mullem
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Sita H.Vermeulen
- Department for Health Evidence, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - W. Edward Visser
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - John P. Walsh
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- School of Medicine and Pharmacology, University of Western Australia, Crawley, Western Australia, Australia
| | - Rudi G. J. Westendorp
- Leiden University Medical Center, Gerontology and Geriatrics, Leiden, The Netherlands
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Guangju Zhai
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. Johns, Newfoundland, Canada
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Johan G. Eriksson
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland
- Folkhalsan Research Centre, Helsinki, Finland
- Vasa Central Hospital, Vasa, Finland
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute on Aging, Baltimore, Maryland, United States of America
| | - Caroline S. Fox
- Division of Intramural Research, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, United States of America
- Division of Endocrinology, Hypertension, and Metabolism, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - J. Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
- Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - Lambertus A. Kiemeney
- Department for Health Evidence, Radboud University Medical Centre, Nijmegen, The Netherlands
- Department of Urology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Peter P. Pramstaller
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy (Affiliated Institute of the University of Lübeck, Lübeck, Germany)
- Department of Neurology, General Central Hospital, Bolzano, Italy
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - David Schlessinger
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland, United States of America
| | - Alan R. Shuldiner
- Department of Medicine, University of Maryland Medical School, Baltimore, Maryland, United States of America
- Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, Baltimore, Maryland, United States of America
| | - Eline P. Slagboom
- Leiden University Medical Center, Molecular Epidemiology, Leiden, The Netherlands
- Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - André G. Uitterlinden
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)–sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The Netherlands
| | - Bijay Vaidya
- Diabetes, Endocrinology and Vascular Health Centre, Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom
| | - Theo J. Visser
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Bruce H. R. Wolffenbuttel
- LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ingrid Meulenbelt
- Leiden University Medical Center, Molecular Epidemiology, Leiden, The Netherlands
- Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - Jerome I. Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Tim D. Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Andrew A. Hicks
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy (Affiliated Institute of the University of Lübeck, Lübeck, Germany)
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Research Institute, Milano, Italy
- Institute of Molecular Genetics–CNR, Pavia, Italy
| | - Serena Sanna
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
- * E-mail: (S Sanna); (RP Peeters); (S Naitza)
| | - Robin P. Peeters
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- * E-mail: (S Sanna); (RP Peeters); (S Naitza)
| | - Silvia Naitza
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
- * E-mail: (S Sanna); (RP Peeters); (S Naitza)
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Association between fibroblast growth factor 7 and the risk of chronic obstructive pulmonary disease. Acta Pharmacol Sin 2012; 33:998-1003. [PMID: 22796760 DOI: 10.1038/aps.2012.69] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
AIM Fibroblast growth factor 7 (FGF7) is involved in a number of physiological and pathological processes, including lung disease. However, relatively little is known about the effect of FGF7 gene polymorphisms on chronic obstructive pulmonary disease (COPD) susceptibility. This study aimed to investigate the association between FGF7 polymorphisms with COPD susceptibility in a Chinese Han population. METHODS We conducted a case-control study of 279 COPD patients and 367 age- and gender-distribution-matched control subjects. The tagging SNPs rs10519225 and rs7170426 in FGF7 were genotyped by SNaPshot. The associations of each SNP genotype and haplotype constructed by these loci with COPD were analyzed. RESULTS A multivariate analysis showed that rs10519225 was significantly associated with an increased risk of COPD (P=0.011, OR=1.535, FDR q=0.022), whereas no association was found for rs7170426. Linkage disequilibrium (LD) analysis showed that these loci were in weak LD, with an r(2) of 0.033 and a D' of 0.232 (95% CI: 0.150-0.520). The haplotype constructed by allele G at rs10519225 and allele A at rs7170426 was associated with a decreased susceptibility to COPD (P=0.012, OR=0.751, FDR q=0.048). CONCLUSION These findings suggest that FGF7 may be one susceptibility factor for COPD.
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Rawal R, Teumer A, Völzke H, Wallaschofski H, Ittermann T, Åsvold BO, Bjøro T, Greiser KH, Tiller D, Werdan K, Meyer zu Schwabedissen HE, Doering A, Illig T, Gieger C, Meisinger C, Homuth G. Meta-analysis of two genome-wide association studies identifies four genetic loci associated with thyroid function. Hum Mol Genet 2012; 21:3275-82. [DOI: 10.1093/hmg/dds136] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Eriksson N, Tung JY, Kiefer AK, Hinds DA, Francke U, Mountain JL, Do CB. Novel associations for hypothyroidism include known autoimmune risk loci. PLoS One 2012; 7:e34442. [PMID: 22493691 PMCID: PMC3321023 DOI: 10.1371/journal.pone.0034442] [Citation(s) in RCA: 107] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2011] [Accepted: 03/05/2012] [Indexed: 02/06/2023] Open
Abstract
Hypothyroidism is the most common thyroid disorder, affecting about 5% of the general population. Here we present the current largest genome-wide association study of hypothyroidism, in 3,736 cases and 35,546 controls. Hypothyroidism was assessed via web-based questionnaires. We identify five genome-wide significant associations, three of which are well known to be involved in a large spectrum of autoimmune diseases: rs6679677 near PTPN22, rs3184504 in SH2B3, and rs2517532 in the HLA class I region (-values , , and , respectively). We also report associations with rs4915077 near VAV3 (-value ) and rs925489 near FOXE1 (-value ). VAV3 is involved in immune function, and FOXE1 and PTPN22 have previously been associated with hypothyroidism. Although the HLA class I region and SH2B3 have previously been linked with a number of autoimmune diseases, this is the first report of their association with thyroid disease. The VAV3 association is also novel. We also show suggestive evidence of association for hypothyroidism with a SNP in the HLA class II region (independent of the other HLA association) as well as SNPs in CAPZB, PDE8B, and CTLA4. CAPZB and PDE8B have been linked to TSH levels and CTLA4 to a variety of autoimmune diseases. These results suggest heterogeneity in the genetic etiology of hypothyroidism, implicating genes involved in both autoimmune disorders and thyroid function. Using a genetic risk profile score based on the top association from each of the five genome-wide significant regions in our study, the relative risk between the highest and lowest deciles of genetic risk is 2.0.
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Affiliation(s)
- Nicholas Eriksson
- 23andMe, Inc., Mountain View, California, United States of America
- * E-mail:
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von Löhneysen K, Scott TM, Soldau K, Xu X, Friedman JS. Assessment of the red cell proteome of young patients with unexplained hemolytic anemia by two-dimensional differential in-gel electrophoresis (DIGE). PLoS One 2012; 7:e34237. [PMID: 22509282 PMCID: PMC3317954 DOI: 10.1371/journal.pone.0034237] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2011] [Accepted: 02/24/2012] [Indexed: 12/13/2022] Open
Abstract
Erythrocyte cytosolic protein expression profiles of children with unexplained hemolytic anemia were compared with profiles of close relatives and controls by two-dimensional differential in-gel electrophoresis (2D-DIGE). The severity of anemia in the patients varied from compensated (i.e., no medical intervention required) to chronic transfusion dependence. Common characteristics of all patients included chronic elevation of reticulocyte count and a negative workup for anemia focusing on hemoglobinopathies, morphologic abnormalities that would suggest a membrane defect, immune-mediated red cell destruction, and evaluation of the most common red cell enzyme defects, glucose-6-phosphate dehydrogenase and pyruvate kinase deficiency. Based upon this initial workup and presentation during infancy or early childhood, four patients classified as hereditary nonspherocytic hemolytic anemia (HNSHA) of unknown etiology were selected for proteomic analysis. DIGE analysis of red cell cytosolic proteins clearly discriminated each anemic patient from both familial and unrelated controls, revealing both patient-specific and shared patterns of differential protein expression. Changes in expression pattern shared among the four patients were identified in several protein classes including chaperons, cytoskeletal and proteasome proteins. Elevated expression in patient samples of some proteins correlated with high reticulocyte count, likely identifying a subset of proteins that are normally lost during erythroid maturation, including proteins involved in mitochondrial metabolism and protein synthesis. Proteins identified with patient-specific decreased expression included components of the glutathione synthetic pathway, antioxidant pathways, and proteins involved in signal transduction and nucleotide metabolism. Among the more than 200 proteins identified in this study are 21 proteins not previously described as part of the erythrocyte proteome. These results demonstrate the feasibility of applying a global proteomic approach to aid characterization of red cells from patients with hereditary anemia of unknown cause, including the identification of differentially expressed proteins as potential candidates with a role in disease pathogenesis.
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Affiliation(s)
- Katharina von Löhneysen
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, California, United States of America
| | - Thomas M. Scott
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, California, United States of America
| | - Katrin Soldau
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, California, United States of America
| | - Xiuling Xu
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, California, United States of America
| | - Jeffrey S. Friedman
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, California, United States of America
- * E-mail:
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Discovery of common variants associated with low TSH levels and thyroid cancer risk. Nat Genet 2012; 44:319-22. [PMID: 22267200 DOI: 10.1038/ng.1046] [Citation(s) in RCA: 178] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2011] [Accepted: 12/01/2011] [Indexed: 01/30/2023]
Abstract
To search for sequence variants conferring risk of nonmedullary thyroid cancer, we focused our analysis on 22 SNPs with a P < 5 × 10(-8) in a genome-wide association study on levels of thyroid stimulating hormone (TSH) in 27,758 Icelanders. Of those, rs965513 has previously been shown to associate with thyroid cancer. The remaining 21 SNPs were genotyped in 561 Icelandic individuals with thyroid cancer (cases) and up to 40,013 controls. Variants suggestively associated with thyroid cancer (P < 0.05) were genotyped in an additional 595 non-Icelandic cases and 2,604 controls. After combining the results, three variants were shown to associate with thyroid cancer: rs966423 on 2q35 (OR = 1.34; P(combined) = 1.3 × 10(-9)), rs2439302 on 8p12 (OR = 1.36; P(combined) = 2.0 × 10(-9)) and rs116909374 on 14q13.3 (OR = 2.09; P(combined) = 4.6 × 10(-11)), a region previously reported to contain an uncorrelated variant conferring risk of thyroid cancer. A strong association (P = 9.1 × 10(-91)) was observed between rs2439302 on 8p12 and expression of NRG1, which encodes the signaling protein neuregulin 1, in blood.
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Haavik J, Halmøy A, Hegvik TA, Johansson S. Maternal genotypes as predictors of offspring mental health: the next frontier of genomic medicine? FUTURE NEUROLOGY 2011. [DOI: 10.2217/fnl.11.54] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Multiple lines of evidence have suggested that the in utero microenvironment is influenced by the maternal genotype and that such genetic differences can affect the prenatal development and long-term health of the offspring. This article reviews recent evidence for such effects on offspring mental health, with an emphasis on common neurodevelopmental disorders, such as attention deficit–hyperactivity disorder, autism and schizophrenia. We conclude that prenatal programming of offspring behavior has been found to be important both in humans and animal models and that this mechanism may explain some of the ‘missing heritability’ reported for genetic studies of complex disorders. Combining genetic and epidemiological research strategies, it is possible to disentangle the different effects of prenatal environmental and genetic exposures, which are particularly attractive candidates for primary prevention and early intervention strategies, for instance by correcting for metabolic deficiencies during critical weeks of prenatal development. Combined with advancing DNA sequencing and genotyping technologies, this knowledge may gradually transform our approach to psychiatric diagnostics, prevention and therapy.
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Affiliation(s)
| | - Anne Halmøy
- Department of Biomedicine, University of Bergen, 5009 Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, 5021 Bergen, Norway
- KG Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Norway
| | - Tor-Arne Hegvik
- Department of Biomedicine, University of Bergen, 5009 Bergen, Norway
- KG Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Norway
| | - Stefan Johansson
- Department of Biomedicine, University of Bergen, 5009 Bergen, Norway
- KG Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Norway
- Center of Medical Genetics & Molecular Medicine, Haukeland University Hospital, 5021 Bergen, Norway
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