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Moriguchi Watanabe L, Sousa L, Couto FM, Noronha NY, de Souza Pinhel MA, da Silva Carvalho GF, da Silva Rodrigues G, Bueno Júnior CR, Kulikowski LD, Barbosa Júnior F, Nonino CB. Genome-Wide Admixture and Association Study of Serum Selenium Deficiency to Identify Genetic Variants Indirectly Linked to Selenium Regulation in Brazilian Adults. Nutrients 2024; 16:1627. [PMID: 38892560 PMCID: PMC11175099 DOI: 10.3390/nu16111627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024] Open
Abstract
Blood selenium (Se) concentrations differ substantially by population and could be influenced by genetic variants, increasing Se deficiency-related diseases. We conducted a genome-wide association study (GWAS) to identify single nucleotide polymorphisms (SNPs) associated with serum Se deficiency in 382 adults with admixed ancestry. Genotyping arrays were combined to yield 90,937 SNPs. R packages were applied to quality control and imputation. We also performed the ancestral proportion analysis. The Search Tool for the Retrieval of Interacting Genes was used to interrogate known protein-protein interaction networks (PPIs). Our ancestral proportion analysis estimated 71% of the genome was from Caucasians, 22% was from Africans, and 8% was from East Asians. We identified the SNP rs1561573 in the TraB domain containing 2B (TRABD2B), rs425664 in MAF bZIP transcription factor (MAF), rs10444656 in spermatogenesis-associated 13 (SPATA13), and rs6592284 in heat shock protein nuclear import factor (HIKESHI) genes. The PPI analysis showed functional associations of Se deficiency, thyroid hormone metabolism, NRF2-ARE and the Wnt pathway, and heat stress. Our findings show evidence of a genetic association between Se deficiency and metabolic pathways indirectly linked to Se regulation, reinforcing the complex relationship between Se intake and the endogenous factors affecting the Se requirements for optimal health.
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Affiliation(s)
- Ligia Moriguchi Watanabe
- Division of Nutrition and Metabolism, Department of Health Sciences, Ribeirão Preto Medical School, University of São Paulo—FMRP/USP, São Paulo 14049-900, Brazil;
- Departamento de Estatística e Investigação Operacional (DEIO) e Centro de Estatística e Aplicações (CEAUL), Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal;
| | - Lisete Sousa
- Departamento de Estatística e Investigação Operacional (DEIO) e Centro de Estatística e Aplicações (CEAUL), Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal;
| | - Francisco M. Couto
- LASIGE, Departamento de Informática, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal;
| | - Natália Yumi Noronha
- Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo—FMRP/USP, São Paulo 14049-900, Brazil; (N.Y.N.); (M.A.d.S.P.)
| | - Marcela Augusta de Souza Pinhel
- Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo—FMRP/USP, São Paulo 14049-900, Brazil; (N.Y.N.); (M.A.d.S.P.)
| | | | - Guilherme da Silva Rodrigues
- School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, São Paulo 14040-900, Brazil; (G.d.S.R.); (C.R.B.J.)
| | - Carlos Roberto Bueno Júnior
- School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, São Paulo 14040-900, Brazil; (G.d.S.R.); (C.R.B.J.)
| | - Leslie Domenici Kulikowski
- Department of Pathology, São Paulo Medical School, University of São Paulo—FMUSP, São Paulo 01246-903, Brazil; (G.F.d.S.C.); (L.D.K.)
| | - Fernando Barbosa Júnior
- Department of Clinical and Toxicological Analyses and Bromatology, Faculty of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo—FCFRP/USP, São Paulo 14040-900, Brazil;
| | - Carla Barbosa Nonino
- Division of Nutrition and Metabolism, Department of Health Sciences, Ribeirão Preto Medical School, University of São Paulo—FMRP/USP, São Paulo 14049-900, Brazil;
- Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo—FMRP/USP, São Paulo 14049-900, Brazil; (N.Y.N.); (M.A.d.S.P.)
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Carland C, Png G, Malarstig A, Kho PF, Gustafsson S, Michaelsson K, Lind L, Tsafantakis E, Karaleftheri M, Dedoussis G, Ramisch A, Macdonald-Dunlop E, Klaric L, Joshi PK, Chen Y, Björck HM, Eriksson P, Carrasco-Zanini J, Wheeler E, Suhre K, Gilly A, Zeggini E, Viñuela A, Dermitzakis ET, Wilson JF, Langenberg C, Thareja G, Halama A, Schmidt F, Zanetti D, Assimes T. Proteomic analysis of 92 circulating proteins and their effects in cardiometabolic diseases. Clin Proteomics 2023; 20:31. [PMID: 37550624 PMCID: PMC10405520 DOI: 10.1186/s12014-023-09421-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 07/17/2023] [Indexed: 08/09/2023] Open
Abstract
BACKGROUND Human plasma contains a wide variety of circulating proteins. These proteins can be important clinical biomarkers in disease and also possible drug targets. Large scale genomics studies of circulating proteins can identify genetic variants that lead to relative protein abundance. METHODS We conducted a meta-analysis on genome-wide association studies of autosomal chromosomes in 22,997 individuals of primarily European ancestry across 12 cohorts to identify protein quantitative trait loci (pQTL) for 92 cardiometabolic associated plasma proteins. RESULTS We identified 503 (337 cis and 166 trans) conditionally independent pQTLs, including several novel variants not reported in the literature. We conducted a sex-stratified analysis and found that 118 (23.5%) of pQTLs demonstrated heterogeneity between sexes. The direction of effect was preserved but there were differences in effect size and significance. Additionally, we annotate trans-pQTLs with nearest genes and report plausible biological relationships. Using Mendelian randomization, we identified causal associations for 18 proteins across 19 phenotypes, of which 10 have additional genetic colocalization evidence. We highlight proteins associated with a constellation of cardiometabolic traits including angiopoietin-related protein 7 (ANGPTL7) and Semaphorin 3F (SEMA3F). CONCLUSION Through large-scale analysis of protein quantitative trait loci, we provide a comprehensive overview of common variants associated with plasma proteins. We highlight possible biological relationships which may serve as a basis for further investigation into possible causal roles in cardiometabolic diseases.
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Affiliation(s)
- Corinne Carland
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Grace Png
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Anders Malarstig
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Pfizer Worldwide Research, Development and Medical, Stockholm, Sweden
| | - Pik Fang Kho
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford Cardiovascular Institute, Palo Alto, CA, USA
| | - Stefan Gustafsson
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Karl Michaelsson
- Department of Surgical Sciences, Medical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | | | | | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Anna Ramisch
- Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva Medical School, Geneva, Switzerland
| | - Erin Macdonald-Dunlop
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland
| | - Lucija Klaric
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland
| | - Yan Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Hanna M Björck
- Cardiovascular Medicine, Medicine, Karolinska Institute, Stockholm, Sweden
| | - Per Eriksson
- Cardiovascular Medicine, Medicine, Karolinska Institute, Stockholm, Sweden
| | | | - Eleanor Wheeler
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Karsten Suhre
- Bioinformatics Core, Cornell Medicine - Qatar Research, Doha, Qatar
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
| | - Ana Viñuela
- Biosciences Institute, Faculty of Medical Sciences, University of Newcastle, Newcastle, UK
| | - Emmanouil T Dermitzakis
- Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva Medical School, Geneva, Switzerland
| | - James F Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- Computational medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
| | - Gaurav Thareja
- Bioinformatics Core, Cornell Medicine - Qatar Research, Doha, Qatar
| | - Anna Halama
- Bioinformatics Core, Cornell Medicine - Qatar Research, Doha, Qatar
| | - Frank Schmidt
- Proteomics Core, Research, Weill Cornell Medicine - Qatar, Doha, Qatar
| | - Daniela Zanetti
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford Cardiovascular Institute, Palo Alto, CA, USA
| | - Themistocles Assimes
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford Cardiovascular Institute, Palo Alto, CA, USA.
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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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Abstract
Genetic factors are involved in the etiology of most diseases, but prior to 2000, the methods for identifying such factors were very limited. Genome-wide association study (GWAS), developed in the 2000s, is an analytical method that can be applied to most diseases, including endocrine disorders. GWAS has provided a wealth of information on disease risks and the molecular pathogenesis of many human diseases. This review summarizes key findings from GWAS for thyroid physiology and diseases, and illustrates how GWAS is a powerful research tool to elucidate the molecular mechanisms of the diseases.
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Affiliation(s)
- Satoshi Narumi
- Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo 157-8535, Japan
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Hassan L, Efremov L, Großkopf A, Kartschmit N, Medenwald D, Schott A, Schmidt-Pokrzywniak A, Lacruz ME, Tiller D, Kraus FB, Greiser KH, Haerting J, Werdan K, Sedding D, Simm A, Nuding S, Kluttig A, Mikolajczyk R. Cardiovascular risk factors, living and ageing in Halle: the CARLA study. Eur J Epidemiol 2022; 37:103-116. [PMID: 34978665 PMCID: PMC8791893 DOI: 10.1007/s10654-021-00824-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 11/24/2021] [Indexed: 11/25/2022]
Abstract
The CARLA study (Cardiovascular Disease, Living and Ageing in Halle) is a longitudinal population-based cohort study of the general population of the city of Halle (Saale), Germany. The primary aim of the cohort was to investigate risk factors for cardiovascular diseases based on comprehensive cardiological phenotyping of study participants and was extended to study factors associated with healthy ageing. In total, 1779 probands (812 women and 967 men, aged 45–83 years) were examined at baseline (2002–2005), with a first and second follow-up performed 4 and 8 years later. The response proportion at baseline was 64.1% and the reparticipation proportion for the first and second follow-up was 86% and 77% respectively. Sixty-four percent of the study participants were in retirement while 25% were full- or partially-employed and 11% were unemployed at the time of the baseline examination. The currently running third follow-up focuses on the assessment of physical and mental health, with an intensive 4 h examination program, including measurement of cardiovascular, neurocognitive, balance and gait parameters. The data collected in the CARLA Study resulted in answering various research questions in over 80 publications, of which two thirds were pooled analyses with other similar population-based studies. Due to the extensiveness of information on risk factors, subclinical conditions and evident diseases, the biobanking concept for the biosamples, the cohort representativeness of an elderly population, and the high level of quality assurance, the CARLA cohort offers a unique platform for further research on important indicators for healthy ageing.
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Affiliation(s)
- Lamiaa Hassan
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Ljupcho Efremov
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- Department of Radiation Oncology, University Hospital Halle (Saale), Halle (Saale), Germany
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Anne Großkopf
- University Clinic and Outpatient Clinic for Cardiac Surgery, Middle German Heart Centre at the University Hospital Halle, Halle, Germany
| | - Nadja Kartschmit
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Daniel Medenwald
- Department of Radiation Oncology, University Hospital Halle (Saale), Halle (Saale), Germany
| | - Artjom Schott
- Department of Internal Medicine III, University Hospital, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Andrea Schmidt-Pokrzywniak
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Maria E Lacruz
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Daniel Tiller
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- Clinical Computing Center - Data Integration Center, University Hospital Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | | | - Karin H Greiser
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Johannes Haerting
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Karl Werdan
- Department of Internal Medicine III, University Hospital, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Daniel Sedding
- Department of Internal Medicine III, University Hospital, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Andreas Simm
- University Clinic and Outpatient Clinic for Cardiac Surgery, Middle German Heart Centre at the University Hospital Halle, Halle, Germany
| | - Sebastian Nuding
- Department of Internal Medicine III, University Hospital, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
| | - Rafael Mikolajczyk
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
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Gurgel MHC, Ponte CMM, Fontes R, Rocha ÍV, Batista LAA, Sousa TCS, Montenegro Junior RM. Establishment of reference interval for thyroid-stimulating hormone using electrochemiluminescence assay in a healthy adult population from Fortaleza, Brazil. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2020; 64:362-368. [PMID: 32725064 PMCID: PMC10522077 DOI: 10.20945/2359-3997000000264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Accepted: 01/21/2020] [Indexed: 06/11/2023]
Abstract
Objective This study aimed to determine the thyroid-stimulating hormone (TSH) reference interval (RI) and to assess the influence of the use of thyroid ultrasonography (TUS) on reference individual selection from a healthy adult population in Fortaleza, Brazil. Subjects and methods This cross-sectional study recruited patients (N = 272; age = 18-50 years) with normal thyroid function (NTF) and placed them in three groups according to their test results: NTF (n = 272; all participants), TUS (n = 170; participants who underwent thyroid US), RI (n = 124; reference individuals with normal TSH levels). TSH, FT4, TT3, TgAb, and TPOAb concentrations were determined by electrochemiluminescence assay. TUS was performed using a 7-12 MHz multifrequency linear transducer by two radiologists. The 2.5th and 97.5th percentiles of the distribution curve corresponded to lower and upper TSH RI levels, respectively. Results The mean TSH level was 1.74 ± 0.96 mIU/L, and TSH range was 0.56-4.45 mIU/L. There was no difference in the TSH concentrations between men and women nor between the groups. TUS did not appear to be an essential tool for the reference group selection. Conclusion The upper limit of TSH was comparable to the reference interval provided by the assay manufacturer (4.45 vs. 4.20 mIU/L) but the lower limit was not (0.56 vs. 0.27 mIU/L). This finding may have a clinical impact since these values may lead to the misdiagnosis of euthyroid patients with subclinical hyperthyroidism.
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Affiliation(s)
- Maria Helane C Gurgel
- Programa de Pós-graduação em Ciências Médicas, Faculdade de Medicina, Universidade Federal do Ceará, Fortaleza, CE, Brasil
| | - Clarisse M M Ponte
- Programa de Pós-graduação em Ciências Médicas, Faculdade de Medicina, Universidade Federal do Ceará, Fortaleza, CE, Brasil
| | | | | | - Lívia A A Batista
- Programa de Pós-graduação em Ciências Médicas, Faculdade de Medicina, Universidade Federal do Ceará, Fortaleza, CE, Brasil
| | - Tamara C S Sousa
- Faculdade de Medicina, Centro Universitário Christus, Fortaleza, CE, Brasil
| | - Renan M Montenegro Junior
- Programa de Pós-graduação em Ciências Médicas, Faculdade de Medicina, Universidade Federal do Ceará, Fortaleza, CE, Brasil
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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: 23] [Impact Index Per Article: 5.8] [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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Yuan F, Yuan R, Ren D, Bi Y, Niu W, Guo Z, Wu X, Xu F, Sun Q, Ma G, Yang F, Zhu Y, Yu T, Li X, He L, Shi L, He G. A novel NR3C2 polymorphism and the increased thyroid-stimulating hormone concentration are associated with venlafaxine treatment outcome in Chinese Han MDD patients. Psychiatry Res 2020; 284:112690. [PMID: 31757642 DOI: 10.1016/j.psychres.2019.112690] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 11/05/2019] [Accepted: 11/11/2019] [Indexed: 10/25/2022]
Abstract
OBJECTIVE We aimed to study the association among venlafaxine antidepressive outcome, NR3C2 gene polymorphisms and the change of two neuroendocrine hormones during treatment. METHODS 195 Chinese Han major depressive disorder (MDD) patients were recruited and received a 6-week venlafaxine treatment in this study. Adrenocorticotropic hormone (ACTH), thyroid-stimulating hormone (TSH) levels were measured at the beginning and at the end of treatment. Six single-nucleotide polymorphisms (SNPs) (NR3C2: rs1512325, rs1512342, rs2070951; NR3C1: rs6191, rs6196, rs10482614) were selected for high-throughput SNP genotyping. Allele and genotype frequencies of them were compared between remission and non-remission groups. RESULTS We found that genotype frequency of the rs1512325 located in the NR3C2 gene was significantly different between remission and non-remission groups respectively (p < 0.05). Meanwhile, the frequency of the rs1512325 C-allele was significantly lower (p < 0.05) in remission group. The TSH concentration significantly increased after venlafaxine treatment in remission group (p < 0.05). CONCLUSION The rs1512325 in NR3C2 gene and TSH concentration may be related to venlafaxine treatment outcome in Chinese Han MDD patients.
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Affiliation(s)
- Fan Yuan
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China.
| | - Ruixue Yuan
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Decheng Ren
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Yan Bi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Weibo Niu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Zhenming Guo
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Xi Wu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Fei Xu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Qianqian Sun
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Gaini Ma
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Fengping Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Yuhao Zhu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Tao Yu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Xingwang Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Lin He
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Lei Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China.
| | - Guang He
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China.
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9
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Abstract
PURPOSE OF REVIEW To summarize recent developments in the association of thyroid function with metabolic syndrome (MetS). RECENT FINDINGS Although thyroid hormones even within low normal range are associated with various metabolic abnormalities, the risk of MetS remains a controversial issue. Hyperthyroid state might be associated only with insulin resistance and dysglycemia. Autoimmune thyroid diseases may be a potential risk factor for metabolic abnormalities even in those with low normal thyroid function. SUMMARY The interrelation between thyroid stimulating hormone, free T3, freeT4 and metabolic parameters is complex and might be affected by age, sex, BMI, insulin resistance, smoking, iodine intake and inflammatory markers.
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Affiliation(s)
- Ladan Mehran
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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10
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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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11
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Hwangbo Y, Park YJ. Genome-Wide Association Studies of Autoimmune Thyroid Diseases, Thyroid Function, and Thyroid Cancer. Endocrinol Metab (Seoul) 2018; 33:175-184. [PMID: 29947174 PMCID: PMC6021314 DOI: 10.3803/enm.2018.33.2.175] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 05/08/2018] [Accepted: 05/14/2018] [Indexed: 12/16/2022] Open
Abstract
Thyroid diseases, including autoimmune thyroid diseases and thyroid cancer, are known to have high heritability. Family and twin studies have indicated that genetics plays a major role in the development of thyroid diseases. Thyroid function, represented by thyroid stimulating hormone (TSH) and free thyroxine (T4), is also known to be partly genetically determined. Before the era of genome-wide association studies (GWAS), the ability to identify genes responsible for susceptibility to thyroid disease was limited. Over the past decade, GWAS have been used to identify genes involved in many complex diseases, including various phenotypes of the thyroid gland. In GWAS of autoimmune thyroid diseases, many susceptibility loci associated with autoimmunity (human leukocyte antigen [HLA], protein tyrosine phosphatase, non-receptor type 22 [PTPN22], cytotoxic T-lymphocyte associated protein 4 [CTLA4], and interleukin 2 receptor subunit alpha [IL2RA]) or thyroid-specific genes (thyroid stimulating hormone receptor [TSHR] and forkhead box E1 [FOXE1]) have been identified. Regarding thyroid function, many susceptibility loci for levels of TSH and free T4 have been identified through genome-wide analyses. In GWAS of differentiated thyroid cancer, associations at FOXE1, MAP3K12 binding inhibitory protein 1 (MBIP)-NK2 homeobox 1 (NKX2-1), disrupted in renal carcinoma 3 (DIRC3), neuregulin 1 (NRG1), and pecanex-like 2 (PCNXL2) have been commonly identified in people of European and Korean ancestry, and many other susceptibility loci have been found in specific populations. Through GWAS of various thyroid-related phenotypes, many susceptibility loci have been found, providing insights into the pathogenesis of thyroid diseases and disease co-clustering within families and individuals.
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Affiliation(s)
- Yul Hwangbo
- Center for Thyroid Cancer, National Cancer Center, Goyang, Korea
| | - Young Joo Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
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12
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Brčić L, Gračan S, Barić A, Gunjača I, Torlak Lovrić V, Kolčić I, Zemunik T, Polašek O, Barbalić M, Punda A, Boraska Perica V. Association of Established Thyroid-stimulating Hormone and Free Thyroxine Genetic Variants with Hashimoto's Thyroiditis. Immunol Invest 2018; 46:625-638. [PMID: 28753406 DOI: 10.1080/08820139.2017.1337785] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Hashimoto's thyroiditis (HT), the most frequent autoimmune thyroid disease (AITD), is characterized by chronic inflammation of the thyroid gland that usually results in hypothyroidism. Thyroid-stimulating hormone (TSH) and free thyroxine (FT4) levels are used as clinical determinants of thyroid function. The main aim of this study was to explore the association of established TSH and FT4 genetic variants with HT. We performed a case-control analysis using 23 genetic markers in 200 HT patients and 304 controls. Additionally, we tested the association of selected variants with several thyroid-related quantitative traits in HT cases only. Two genetic variants showed nominal association with HT: rs11935941 near NR3C2 gene (p = 0.0034, OR = 0.57, 95% CI = 0.39-0.83) and rs1537424 near MBIP gene (p = 0.0169, OR = 0.72, 95% CI = 0.55-0.94). Additionally, three SNPs showed nominal association with thyroglobulin antibody (TgAb) levels: rs4804416 in INSR gene (p = 0.0073, β = -0.51), rs6435953 near IGFBP5 gene (p = 0.0081, β = 0.75), and rs1537424 near MBIP gene (p = 0.0117, β = 0.49). GLIS3 genetic variant rs10974423 showed nominal association with thyroid peroxidase antibody (TPOAb) levels (p = 0.0465, β = -0.56) and NRG1 genetic variant rs7825175 was nominally associated with thyroid gland volume (p = 0.0272, β = -0.18). All detected loci were previously related to thyroid function or pathology. Findings from our study suggest biological relevance of NR3C2 and MBIP with HT, although these loci require additional confirmation in a larger replication study.
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Affiliation(s)
- Luka Brčić
- a Department of Medical Biology , University of Split, School of Medicine , Split , Croatia
| | - Sanda Gračan
- b Department of Nuclear Medicine , University Hospital Split , Split , Croatia
| | - Ana Barić
- b Department of Nuclear Medicine , University Hospital Split , Split , Croatia
| | - Ivana Gunjača
- a Department of Medical Biology , University of Split, School of Medicine , Split , Croatia
| | | | - Ivana Kolčić
- c Department of Epidemiology , University of Split, School of Medicine , Split , Croatia
| | - Tatijana Zemunik
- a Department of Medical Biology , University of Split, School of Medicine , Split , Croatia
| | - Ozren Polašek
- c Department of Epidemiology , University of Split, School of Medicine , Split , Croatia
| | - Maja Barbalić
- a Department of Medical Biology , University of Split, School of Medicine , Split , Croatia
| | - Ante Punda
- b Department of Nuclear Medicine , University Hospital Split , Split , Croatia
| | - Vesna Boraska Perica
- a Department of Medical Biology , University of Split, School of Medicine , Split , Croatia
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13
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Barić A, Brčić L, Gračan S, Torlak Lovrić V, Gunjača I, Šimunac M, Brekalo M, Boban M, Polašek O, Barbalić M, Zemunik T, Punda A, Boraska Perica V. Association of established hypothyroidism-associated genetic variants with Hashimoto's thyroiditis. J Endocrinol Invest 2017; 40:1061-1067. [PMID: 28382505 DOI: 10.1007/s40618-017-0660-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 03/21/2017] [Indexed: 12/26/2022]
Abstract
PURPOSE Hashimoto's thyroiditis (HT) as a chronic autoimmune disease of the thyroid gland is the most common cause of hypothyroidism. Since HT and hypothyroidism are closely related, the main aim of this study was to explore the association of established hypothyroidism single-nucleotide polymorphisms (SNPs) with HT. METHODS The case-control dataset included 200 HT cases and 304 controls. Diagnosis of HT cases was based on clinical examination, measurement of thyroid antibodies (TgAb, TPOAb), hormones (TSH and FT4) and ultrasound examination. We genotyped and analysed 11 known hypothyroidism-associated genetic variants. Case-control association analysis was performed in order to test each SNP for the association with HT using logistic regression model. Additionally, each SNP was tested for the association with thyroid-related quantitative traits (TPOAb levels, TgAb levels and thyroid volume) in HT cases only using linear regression. RESULTS We identified two genetic variants nominally associated with HT rs3184504 in SH2B3 gene (P = 0.0135, OR = 0.74, 95% CI = 0.57-0.95) and rs4704397 in PDE8B gene (P = 0.0383, OR = 1.32, 95% CI = 1.01-1.74). The SH2B3 genetic variant also showed nominal association with TPOAb levels (P = 0.0163, β = -0.46) and rs4979402 inside DFNB31 gene was nominally associated with TgAb levels (P = 0.0443, β = 0.41). CONCLUSIONS SH2B3 gene has previously been associated with susceptibility to several autoimmune diseases, whereas PDE8B has been associated with TSH levels and suggested to modulate thyroid physiology that may influence the manifestation of thyroid disease. Identified loci are novel and biologically plausible candidates for HT development and represent good basis for further exploration of HT susceptibility.
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Affiliation(s)
- A Barić
- Department of Nuclear Medicine, University Hospital Split, Split, Croatia
| | - L Brčić
- Department of Medical Biology, School of Medicine, University of Split, Split, Croatia
| | - S Gračan
- Department of Nuclear Medicine, University Hospital Split, Split, Croatia
| | - V Torlak Lovrić
- Department of Nuclear Medicine, University Hospital Split, Split, Croatia
| | - I Gunjača
- Department of Medical Biology, School of Medicine, University of Split, Split, Croatia
| | - M Šimunac
- Department of Nuclear Medicine, University Hospital Split, Split, Croatia
| | - M Brekalo
- Department of Nuclear Medicine, University Hospital Split, Split, Croatia
| | - M Boban
- Department of Pharmacology, School of Medicine, University of Split, Split, Croatia
| | - O Polašek
- Department of Public Health, School of Medicine, University of Split, Split, Croatia
| | - M Barbalić
- Department of Medical Biology, School of Medicine, University of Split, Split, Croatia
| | - T Zemunik
- Department of Medical Biology, School of Medicine, University of Split, Split, Croatia
| | - A Punda
- Department of Nuclear Medicine, University Hospital Split, Split, Croatia
| | - V Boraska Perica
- Department of Medical Biology, School of Medicine, University of Split, Split, Croatia.
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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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Are genetic polymorphisms in the renin-angiotensin-aldosterone system associated with essential hypertension? Evidence from genome-wide association studies. J Hum Hypertens 2017; 31:695-698. [PMID: 28425437 DOI: 10.1038/jhh.2017.29] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Revised: 01/20/2017] [Accepted: 03/03/2017] [Indexed: 01/01/2023]
Abstract
In candidate gene era, dozens of single-nucleotide polymorphisms (SNPs) within renin-angiotensin-aldosterone system (RAAS) have been reported to be significantly associated with hypertension. However, the unbiased genome-wide association studies (GWAS) rarely identified the SNPs within RAAS were associated with hypertension or blood pressure (BP) traits. In order to figure out whether genetic polymorphisms of RAAS are really associated with hypertension, we systemically searched the GWAS Catalogue and identified all the known RAAS genes and relevant diseases/traits. After data processing, we found that polymorphisms within REN, AGT, ACE2, CYP11B2, ATP6AP2 and HSD11B2 were not associated with any disease or trait. SNPs within ACE, AGTR1, AGTR2, MAS1, RENBP and NR3C2 were associated with other diseases or traits, but showed no direct connection with hypertension. The only SNP associated with a BP trait, systolic BP was rs17367504. However, it is located in the intronic region of MTHFR near many plausible candidate genes, including CLCN6, NPPA, NPPB and AGTRAP. Therefore, the effect of RAAS polymorphisms may have been overestimated during the 'candidate gene era'. In the time of 'precision medicine', the power of RAAS variants needs to be reconsidered when evaluating one's susceptibility of hypertension.
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16
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Nielsen TRH, Appel EVR, Svendstrup M, Ohrt JD, Dahl M, Fonvig CE, Hollensted M, Have CT, Kadarmideen HN, Pedersen O, Hansen T, Holm JC, Grarup N. A genome-wide association study of thyroid stimulating hormone and free thyroxine in Danish children and adolescents. PLoS One 2017; 12:e0174204. [PMID: 28333968 PMCID: PMC5363901 DOI: 10.1371/journal.pone.0174204] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Accepted: 03/06/2017] [Indexed: 11/18/2022] Open
Abstract
Background Hypothyroidism is associated with obesity, and thyroid hormones are involved in the regulation of body composition, including fat mass. Genome-wide association studies (GWAS) in adults have identified 19 and 6 loci associated with plasma concentrations of thyroid stimulating hormone (TSH) and free thyroxine (fT4), respectively. Objective This study aimed to identify and characterize genetic variants associated with circulating TSH and fT4 in Danish children and adolescents and to examine whether these variants associate with obesity. Methods Genome-wide association analyses of imputed genotype data with fasting plasma concentrations of TSH and fT4 from a population-based sample of Danish children, adolescents, and young adults, and a group of children, adolescents, and young adults with overweight and obesity were performed (N = 1,764, mean age = 12.0 years [range 2.5−24.7]). Replication was performed in additional comparable samples (N = 2,097, mean age = 11.8 years [1.2−22.8]). Meta-analyses, using linear additive fixed-effect models, were performed on the results of the discovery and replication analyses. Results No novel loci associated with TSH or fT4 were identified. Four loci previously associated with TSH in adults were confirmed in this study population (PDE10A (rs2983511: β = 0.112SD, p = 4.8 ∙ 10−16), FOXE1 (rs7847663: β = 0.223SD, p = 1.5 ∙ 10−20), NR3C2 (rs9968300: β = 0.194SD), p = 2.4 ∙ 10−11), VEGFA (rs2396083: β = 0.088SD, p = 2.2 ∙ 10−10)). Effect sizes of variants known to associate with TSH or fT4 in adults showed a similar direction of effect in our cohort of children and adolescents, 11 of which were associated with TSH or fT4 in our study (p<0.0002). None of the TSH or fT4 associated SNPs were associated with obesity in our cohort, indicating no pleiotropic effects of these variants on obesity. Conclusion In a group of Danish children and adolescents, four loci previously associated with plasma TSH concentrations in adults, were associated with plasma TSH concentrations in children, suggesting comparable genetic determinants of thyroid function in adults and children.
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Affiliation(s)
- Tenna Ruest Haarmark Nielsen
- The Children’s Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emil Vincent Rosenbaum Appel
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mathilde Svendstrup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Danish Diabetes Academy, Odense, Denmark
| | - Johanne Dam Ohrt
- The Children’s Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
| | - Maria Dahl
- The Children’s Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
| | - Cilius Esmann Fonvig
- The Children’s Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mette Hollensted
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christian Theil Have
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Haja N. Kadarmideen
- Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg C, Denmark
- Department of Bio and Health Informatics, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- * E-mail: (TH); (JCH); (NG)
| | - Jens-Christian Holm
- The Children’s Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- * E-mail: (TH); (JCH); (NG)
| | - Niels Grarup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- * E-mail: (TH); (JCH); (NG)
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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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Führer D, Brix K, Biebermann H. Understanding the Healthy Thyroid State in 2015. Eur Thyroid J 2015; 4:1-8. [PMID: 26601068 PMCID: PMC4640297 DOI: 10.1159/000431318] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2015] [Revised: 05/12/2015] [Indexed: 12/22/2022] Open
Abstract
Thyroid hormones (TH) are of crucial importance for the physiological function of almost all organs. In cases of abnormal TH signaling, pathophysiological consequences may arise. The routine assessment of a healthy or diseased thyroid function state is currently based on the determination of serum concentrations of thyroid-stimulating hormone (TSH), and the TH T3 and T4. However, the definition of a 'normal' TSH range and similarly 'normal' T3 and T4 concentrations remains the subject of debate in different countries worldwide and has important implications on patient treatment in clinics. Not surprisingly, a significant number of patients whose thyroid function tests are biochemically determined to be within the normal range complain of impaired well-being. The reasons for this are so far not fully understood, but it has been recognized that thyroid function status needs to be 'individualized' and extended beyond simple TSH measurement. Thus, more precise and reliable parameters are required in order to optimally define the healthy thyroid status of an individual, and as a perspective to employ these in clinical routine. With the recent identification of new key players in TH action, a more accurate assessment of a patient's thyroid status may in the future become possible. Recently described distinct TH derivatives and metabolites, TH transporters, nongenomic TH effects (either through membrane-bound or cytosolic signaling), and classical nuclear TH action allow for insights into molecular and cellular preconditions of a healthy thyroid state. This will be a prerequisite to improve management of thyroid dysfunction, and additionally to prevent and target TH-related nonthyroid disease.
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Affiliation(s)
- Dagmar Führer
- Department of Endocrinology and Metabolism, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- *Dagmar Führer, Department of Endocrinology and Metabolism, University Hospital Essen, Hufelandstrasse 55, DE-45147 Essen (Germany), E-Mail , Klaudia Brix, Department of Life Sciences and Chemistry, Jacobs University Bremen, Campus Ring 1, DE-28759 Bremen (Germany), E-Mail , Heike Biebermann, Institut für Experimentelle Pädiatrische Endokrinologie, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, DE-13353 Berlin (Germany), E-Mail
| | - Klaudia Brix
- Department of Life Sciences and Chemistry, Jacobs University Bremen, Bremen, Germany
| | - Heike Biebermann
- Institut für Experimentelle Pädiatrische Endokrinologie, Charité-Universitätsmedizin Berlin, Berlin, Germany
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20
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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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21
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Yang S, Tao J, Zhang J, Fan J, Qian W, Shu K. Genetic association study of phosphodiesterase 8B gene with subclinical hypothyroidism in pregnant women. Endocr Res 2015; 40:199-203. [PMID: 25822812 DOI: 10.3109/07435800.2015.1015728] [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] [Indexed: 11/13/2022]
Abstract
OBJECTIVE To explore whether phosphodiesterase 8B (PDE8B) gene is involved in the etiology of subclinical hypothyroidism (SCH) in pregnant women. METHODS A total of 180 pregnant patients with SCH and 311 healthy, pregnant control subjects were recruited in this study to detect 4 (rs4704397, rs6885099, rs2046045, and rs12514694 in PDE8B) single nucleotide polymorphisms (SNPs). Univariate associations were studied using Pearson's χ(2) test for categorical variables and Student t/ANOVA tests for continuous ones. Nonparametric Kruskal-Wallis test were used to study the associations of TSH level in different genotypes. Genotyping of SNPs was performed by the MassARRAY(®) iPLEX(®) Gold SNP genotyping analysis technique. The SHEsis program was used to analyze the genotyping data. RESULTS There was a significant difference in the rate of high TSH in three genotypes of rs4704397 in all pregnant women. After adjusting for multiple testing by the program SNPSpD, allelic frequencies of rs4704397 (p = 0.016, OR = 1.692), rs6885099 (p = 0.031, OR = 0.621), and rs2046045 (p = 0.023, OR = 0.602) in PDE8B gene showed significant differences between patients with SCH and control subjects. There were no significant differences of genotype frequencies between patients and controls at any of the analyzed SNPs (p > 0.05).The haplotypes ''A G C G'' (p = 0.002; OR, 1.533; 95% CI, 1.172-2.006) and "G A A G" (p = 0.014; OR, 0.576; 95% CI, 0.369-0.899) in PDE8B were observed to be significantly associated with SCH in pregnant women. CONCLUSION Genetic variation of the PDE8B gene may be involved in the etiology of SCH in pregnant women.
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Affiliation(s)
- Shuai Yang
- a Department of Obstetrics and Gynecology and
| | - Jun Tao
- a Department of Obstetrics and Gynecology and
| | - Junyu Zhang
- b Department of Reproductive Genetics , International Peace Maternity & Child Health Hospital, Shanghai Jiaotong University School of Medicine , Shanghai , P.R. China
| | - Jianxia Fan
- a Department of Obstetrics and Gynecology and
| | - Wei Qian
- a Department of Obstetrics and Gynecology and
| | - Khor Shu
- a Department of Obstetrics and Gynecology and
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22
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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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23
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Genetic variants associated with serum thyroid stimulating hormone (TSH) levels in European Americans and African Americans from the eMERGE Network. PLoS One 2014; 9:e111301. [PMID: 25436638 PMCID: PMC4249871 DOI: 10.1371/journal.pone.0111301] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2014] [Accepted: 08/31/2014] [Indexed: 02/05/2023] Open
Abstract
Thyroid stimulating hormone (TSH) hormone levels are normally tightly regulated within an individual; thus, relatively small variations may indicate thyroid disease. Genome-wide association studies (GWAS) have identified variants in PDE8B and FOXE1 that are associated with TSH levels. However, prior studies lacked racial/ethnic diversity, limiting the generalization of these findings to individuals of non-European ethnicities. The Electronic Medical Records and Genomics (eMERGE) Network is a collaboration across institutions with biobanks linked to electronic medical records (EMRs). The eMERGE Network uses EMR-derived phenotypes to perform GWAS in diverse populations for a variety of phenotypes. In this report, we identified serum TSH levels from 4,501 European American and 351 African American euthyroid individuals in the eMERGE Network with existing GWAS data. Tests of association were performed using linear regression and adjusted for age, sex, body mass index (BMI), and principal components, assuming an additive genetic model. Our results replicate the known association of PDE8B with serum TSH levels in European Americans (rs2046045 p = 1.85×10−17, β = 0.09). FOXE1 variants, associated with hypothyroidism, were not genome-wide significant (rs10759944: p = 1.08×10−6, β = −0.05). No SNPs reached genome-wide significance in African Americans. However, multiple known associations with TSH levels in European ancestry were nominally significant in African Americans, including PDE8B (rs2046045 p = 0.03, β = −0.09), VEGFA (rs11755845 p = 0.01, β = −0.13), and NFIA (rs334699 p = 1.50×10−3, β = −0.17). We found little evidence that SNPs previously associated with other thyroid-related disorders were associated with serum TSH levels in this study. These results support the previously reported association between PDE8B and serum TSH levels in European Americans and emphasize the need for additional genetic studies in more diverse populations.
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24
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Zhan M, Chen G, Pan CM, Gu ZH, Zhao SX, Liu W, Wang HN, Ye XP, Xie HJ, Yu SS, Liang J, Gao GQ, Yuan GY, Zhang XM, Zuo CL, Su B, Huang W, Ning G, Chen SJ, Chen JL, Song HD. Genome-wide association study identifies a novel susceptibility gene for serum TSH levels in Chinese populations. Hum Mol Genet 2014; 23:5505-17. [PMID: 24852370 DOI: 10.1093/hmg/ddu250] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Thyroid-stimulating hormone (TSH) is a sensitive indicator of thyroid function. High and low TSH levels reflect hypothyroidism and hyperthyroidism, respectively. Even within the normal range, small differences in TSH levels, on the order of 0.5-1.0 mU/l, are associated with significant differences in blood pressure, BMI, dyslipidemia, risk of atrial fibrillation and atherosclerosis. Most of the variance in TSH levels is thought to be genetically influenced. We conducted a genome-wide association study of TSH levels in 1346 Chinese Han individuals. In the replication study, we genotyped four candidate SNPs with the top association signals in an independent isolated Chinese She cohort (n = 3235). We identified a novel serum TSH susceptibility locus within XKR4 at 8q12.1 (rs2622590, Pcombined = 2.21 × 10(-10)), and we confirmed two previously reported TSH susceptibility loci near FOXE1 at 9q22.33 and near CAPZB at 1p36.13, respectively. The rs2622590_T allele at XKR4 and the rs925489_C allele near FOXE1 were correlated with low TSH levels and were found to be nominally associated to patients with papillary thyroid carcinoma (PTC) (OR = 1.41, P= 0.014 for rs2622590_T, and OR = 1.61, P= 0.030 for rs925489_C). The rs2622590 and rs925489 genotypes were also correlated with the expression levels of FOXE1 and XKR4, respectively, in PTC tissues (P = 2.41 × 10(-4) and P= 0.02). Our findings suggest that the SNPs in XKR4 and near FOXE1 are involved in the regulation of TSH levels.
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Affiliation(s)
- Ming Zhan
- State Key Laboratory of Medical Genomics and Shanghai Institute of Endocrinology and Metabolism, Department of Endocrinology, Ruijin Hospital Affiliated to SJTU School of Medicine, Shanghai 200025, China
| | - Gang Chen
- Department of Endocrinology, Fujian Provincial Hospital, Fujian Medical University, Fuzhou 350001, China
| | | | - Zhao-Hui Gu
- Shanghai Center for Systems Biomedicine, SJTU, Shanghai 200240, China
| | - Shuang-Xia Zhao
- State Key Laboratory of Medical Genomics and Shanghai Institute of Endocrinology and Metabolism, Department of Endocrinology, Ruijin Hospital Affiliated to SJTU School of Medicine, Shanghai 200025, China
| | - Wei Liu
- State Key Laboratory of Medical Genomics and Shanghai Institute of Endocrinology and Metabolism, Department of Endocrinology, Ruijin Hospital Affiliated to SJTU School of Medicine, Shanghai 200025, China
| | | | | | - Hui-Jun Xie
- State Key Laboratory of Medical Genomics and
| | - Sha-Sha Yu
- State Key Laboratory of Medical Genomics and Shanghai Institute of Endocrinology and Metabolism, Department of Endocrinology, Ruijin Hospital Affiliated to SJTU School of Medicine, Shanghai 200025, China
| | - Jun Liang
- Department of Endocrinology, The Central Hospital of Xuzhou Affiliated to Xuzhou Medical College, Xuzhou, Jiangsu Province 221109, China
| | - Guan-Qi Gao
- Department of Endocrinology, Linyi People's Hospital, Linyi, Shandong Province 276003, China
| | - Guo-Yue Yuan
- Department of Endocrinology, The Hospital Affiliated to Jiangsu University, Zhenjiang, Jiangsu Province 213001, China
| | - Xiao-Mei Zhang
- Department of Endocrinology, The First Hospital Affiliated to Bengbu Medical College, Bengbu, Anhui Province 233004, China
| | - Chun-Lin Zuo
- Department of Endocrinology, The First Hospital Affiliated to Anhui Medical University, Hefei, Anhui Province 230022, China
| | - Bin Su
- Department of Endocrinology, The Tenth People's Hospital Affiliated to Tongji University, Shanghai 200072, China
| | - Wei Huang
- Department of Genetics, Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center, Shanghai 201303, China
| | - Guang Ning
- State Key Laboratory of Medical Genomics and Shanghai Institute of Endocrinology and Metabolism, Department of Endocrinology, Ruijin Hospital Affiliated to SJTU School of Medicine, Shanghai 200025, China
| | | | - Jia-Lun Chen
- Shanghai Institute of Endocrinology and Metabolism, Department of Endocrinology, Ruijin Hospital Affiliated to SJTU School of Medicine, Shanghai 200025, China
| | - Huai-Dong Song
- State Key Laboratory of Medical Genomics and Shanghai Institute of Endocrinology and Metabolism, Department of Endocrinology, Ruijin Hospital Affiliated to SJTU School of Medicine, Shanghai 200025, China
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25
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Sriphrapradang C, Pavarangkoon S, Jongjaroenprasert W, Chailurkit LO, Ongphiphadhanakul B, Aekplakorn W. Reference ranges of serum TSH, FT4 and thyroid autoantibodies in the Thai population: the national health examination survey. Clin Endocrinol (Oxf) 2014; 80:751-6. [PMID: 24266630 DOI: 10.1111/cen.12371] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2013] [Revised: 10/23/2013] [Accepted: 11/19/2013] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Data on reference intervals of thyroid functions in Southeast Asia are limited. The aim of this study was to provide reference ranges of thyroid functions and thyroid autoantibodies in Thais. DESIGN AND METHODS Serum samples from 2545 apparently healthy non-pregnant subjects, aged ≥14 years, from the fourth Thai National Health Examination Survey were measured for TSH, FT4, antithyroperoxidase (TPO Ab), antithyroglobulin (Tg Ab) and antithyrotrophin receptor antibodies (TRAb). A reference population was selected from the disease-free population by excluding those who had thyroid autoantibodies and TSH > 20 mIU/l. RESULTS For the total population, median TSH and FT4 levels were 1·94 mIU/l and 1·35 ng/dl, respectively. TSH was higher and FT4 was lower in females than in males. Based on National Academy of Clinical Biochemistry criteria, the reference intervals (2·5th-97·5th percentile) were: TSH, 0·34-5·11 mIU/l; FT4, 0·98-1·79 ng/dl; TPO Ab, 5-84·88 IU/ml; Tg Ab, 10-118·2 IU/ml; and TRAb, 0·3-1·24 IU/l. With the new reference ranges, hypothyroidism was found in 4·16% of the total population (0·78% overt and 3·38% subclinical hypothyroidism) and hyperthyroidism was found in 3·18% (0·94% overt and 2·24% subclinical hyperthyroidism). Positive TPO Ab, Tg Ab and TRAb were found in 8·96%, 12·26% and 5·93%, respectively. The upper normal limit of TSH tended to increase with age, particularly for those aged 80 years and older. CONCLUSIONS The reference interval for TSH needs to be derived from each specific population. Slightly elevated TSH concentrations in the elderly could be considered acceptable, with no need for thyroxine treatment.
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Affiliation(s)
- Chutintorn Sriphrapradang
- Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
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26
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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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27
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Meisinger C, Ittermann T, Tiller D, Agger C, Nauck M, Schipf S, Wallaschofski H, Jørgensen T, Linneberg A, Thiery J, Kluttig A, Greiser KH, Werdan K, Burkhardt K, Völzke H. Sex-specific associations between thyrotropin and serum lipid profiles. Thyroid 2014; 24:424-32. [PMID: 24102572 DOI: 10.1089/thy.2013.0259] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND Population-based studies investigating the sex-specific association between thyrotropin (TSH) levels and serum lipid concentrations are scarce. We examined the association between TSH and total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides in men and women from the general population. Furthermore, the association with TSH outside and within the reference range and lipid levels was studied. METHODS Individual data of 13,571 men and women without lipid medication of four population-based studies conducted in Western European adults were pooled for cross-sectional analyses. The association between TSH levels and lipid concentrations were analyzed by calculating sex-specific multivariable median regression models. RESULTS In the pooled population, serum TSH levels were significantly positively associated with triglyceride values in men and with total cholesterol, LDL cholesterol, and triglyceride values in women. In the pooled male population, low serum TSH levels (<3.0 mIU/L) were significantly associated with lower total cholesterol, while high serum TSH levels (≥ 3.0 mIU/L) were associated with higher triglyceride values. In the pooled female population, low serum TSH levels were significantly associated with lower total cholesterol, LDL cholesterol, and HDL cholesterol. High TSH levels were associated with higher total cholesterol and LDL cholesterol in the pooled female population. In both sexes, serum TSH levels within the reference range (0.3-3.0 mIU/L) were significantly positively associated with triglyceride concentrations. CONCLUSIONS Increasing levels of TSH were associated with a less favorable lipid profile in both men and women from the general population. In both sexes, TSH levels within the reference range were significantly positively associated with triglyceride concentrations.
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Affiliation(s)
- Christa Meisinger
- 1 Institute of Epidemiology II , Helmholtz Zentrum Munich, German Research Center for Environmental Health, Neuherberg, Germany
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28
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Jorde R, Schirmer H, Wilsgaard T, Joakimsen RM, Mathiesen EB, Njølstad I, Løchen ML, Figenschau Y, Svartberg J, Hutchinson MS, Kjærgaard M, Jørgensen L, Grimnes G. The phosphodiesterase 8B gene rs4704397 is associated with thyroid function, risk of myocardial infarction, and body height: the Tromsø study. Thyroid 2014; 24:215-22. [PMID: 23941514 DOI: 10.1089/thy.2013.0177] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
OBJECTIVE High serum thyrotropin (TSH) levels predict cardiovascular disease (CVD). Recently several single nucleotide polymorphisms (SNPs) associated with TSH levels have been identified, one of them being the rs4704397 SNP in the phosphodiesterase 8B (PDE8B) gene. If the relation between thyroid function and CVD is causal, one could also expect rs4704397 genotypes to predict CVD and possibly health in general. METHODS DNA was prepared and genotyping performed for rs4704397 in subjects who participated in the fourth survey of the Tromsø Study in 1994-1995 and who were registered with the endpoints myocardial infarction (MI), type 2 diabetes (T2DM), cancer, or death, as well as a randomly selected control group. Similarly, genotyping was performed in subjects who had participated in clinical trials where serum TSH, free T4 (fT4), and free T3 (fT3) were measured. RESULTS From the Tromsø Study, 8938 subjects without thyroid disease or thyroid medication were successfully genotyped for rs4704397. Among these, 2098 were registered with MI, 1025 with T2DM, 2748 with cancer, and 3592 had died. The minor homozygote genotype (A:A) had a median serum TSH level that was 0.29 mIU/L higher than in the major homozygote genotype (G:G). The A:A genotype had a significantly increased risk of MI as compared to the G:G genotype (1.14 [1.00-1.29], hazard ratio [confidence interval], Cox regression with adjustment for age, sex, and body mass index). No significant associations were seen with the other endpoints or CVD risk factors. Furthermore, subjects with the G:G genotype were significantly taller than subjects with the A:A genotype (mean difference 1.5 cm). In 584 subjects with serum TSH, fT4, and fT3 measurements, the subjects with the A:A genotype had significantly higher serum TSH and nonsignificantly lower serum fT3 (mean difference 0.15 pmol/L) levels than subjects with the G:G genotype. CONCLUSION rs4704397 is associated with thyroid function, risk of MI, and body height. However, confirmation in other cohorts is needed before firm conclusions can be drawn.
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Affiliation(s)
- Rolf Jorde
- 1 Tromsø Endocrine Research Group, University of Tromsø , Tromsø, Norway
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Gupta MK, Singh DB, Shukla R, Misra K. A comprehensive metabolic modeling of thyroid pathway in relation to thyroid pathophysiology and therapeutics. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2013; 17:584-93. [PMID: 24044365 DOI: 10.1089/omi.2013.0007] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The thyroid pathway represents a complex interaction of different glands for thyroid hormone synthesis. Thyrotropin releasing hormone is synthesized in the hypothalamus and regulates thyrotropin stimulating hormone gene expression in the pituitary gland. In order to understand the complexity of the thyroid pathways, and using experimental data retrieved from the biomedical literature (e.g., NCBI, HuGE Navigator, Protein Data Bank, and KEGG), we constructed a metabolic map of the thyroid hormone pathway at a molecular level and analyzed it topologically. A total of five hub nodes were predicted in regards to the transcription thyroid receptor (TR), cAMP response element-binding protein (CREB), signal transducer and activator of transcription 3 (STAT 3), nuclear factor kappa-light-chain-enhancer of activated B cells (NFkB), and activator protein 1 (AP-1) as being potentially important in study of thyroid disorders and as novel putative therapeutic drug targets. Notably, the thyroid receptor is a highly connected hub node and currently used as a therapeutic target in hypothyroidism. Our analysis represents the first comprehensive description of the thyroid pathway, which pertains to understanding the function of the protein and gene interaction networks. The findings from this study are therefore informative for pathophysiology and rational therapeutics of thyroid disorders.
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Affiliation(s)
- Manish Kumar Gupta
- 1 Department of Bioinformatics, University Institute of Engineering and Technology, Chhatrapati Shahu Ji Maharaj University, Kanpur, 208024, Uttar Pradesh, India
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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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Alul FY, Shchelochkov OA, Berberich SL, Murray JC, Ryckman KK. Genetic associations with neonatal thyroid-stimulating hormone levels. Pediatr Res 2013; 73:484-91. [PMID: 23344678 PMCID: PMC3775497 DOI: 10.1038/pr.2013.18] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND Elevations or deficits in thyroid hormone levels are responsible for a wide range of neonatal and adult phenotypes. Several genome-wide, candidate gene, and meta-analysis studies have examined thyroid hormones in adults; however, to our knowledge, no genetic association studies have been performed with neonatal thyroid levels. METHODS A population of Iowa neonates, term (n = 827) and preterm (n = 815), were genotyped for 45 single-nucleotide polymorphisms (SNPs). Thyroid-stimulating hormone (TSH) values were obtained from the Iowa Neonatal Metabolic Screening Program. ANOVA was performed to identify genetic associations with TSH concentrations. RESULTS The strongest association was rs4704397 in the PDE8B gene (P = 1.3 × 10(-4)), followed by rs965513 (P = 6.4 × 10(-4)) on chromosome 9 upstream of the FOXE1 gene. Both of these SNPs met statistical significance after correction for multiple testing. Six other SNPs were marginally significant (P < 0.05). CONCLUSION We demonstrated for the first time two genetic associations with neonatal TSH levels that replicate findings with adult TSH levels. These SNPs should be considered early predictors of risk for adult diseases and conditions associated with thyroid hormone levels. Furthermore, this study provides a better understanding of the thyroid profile and potential risk for thyroid disorders in newborns.
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Affiliation(s)
- Farah Y. Alul
- Department of Pediatrics, University of Iowa, Iowa City, IA
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32
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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: 165] [Impact Index Per Article: 15.0] [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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