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      The Effects of Common Genetic Variation in 96 Genes Involved in Thyroid Hormone Regulation on TSH and FT4 Concentrations

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          Abstract

          Objective

          While most of the variation in thyroid function is determined by genetic factors, single nucleotide polymorphisms (SNPs) identified via genome-wide association analyses have only explained ~5% to 9% of this variance so far. Most SNPs were in or nearby genes with no known role in thyroid hormone (TH) regulation. Therefore, we performed a large-scale candidate gene study investigating the effect of common genetic variation in established TH regulating genes on serum thyrotropin [thyroid-stimulating hormone (TSH)] and thyroxine (FT4) concentrations.

          Methods

          SNPs in or within 10 kb of 96 TH regulating genes were included (30 031 TSH SNPs, and 29 962 FT4 SNPs). Associations were studied in 54 288 individuals from the ThyroidOmics Consortium. Linkage disequilibrium-based clumping was used to identify independently associated SNPs. SNP-based explained variances were calculated using SumHer software.

          Results

          We identified 23 novel TSH-associated SNPs in predominantly hypothalamic-pituitary-thyroid axis genes and 25 novel FT4-associated SNPs in mainly peripheral metabolism and transport genes. Genome-wide SNP variation explained ~21% (SD 1.7) of the total variation in both TSH and FT4 concentrations, whereas SNPs in the 96 TH regulating genes explained 1.9% to 2.6% (SD 0.4).

          Conclusion

          Here we report the largest candidate gene analysis on thyroid function, resulting in a substantial increase in the number of genetic variants determining TSH and FT4 concentrations. Interestingly, these candidate gene SNPs explain only a minor part of the variation in TSH and FT4 concentrations, which substantiates the need for large genetic studies including common and rare variants to unravel novel, yet unknown, pathways in TH regulation.

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          Most cited references45

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Second-generation PLINK: rising to the challenge of larger and richer datasets

            PLINK 1 is a widely used open-source C/C++ toolset for genome-wide association studies (GWAS) and research in population genetics. However, the steady accumulation of data from imputation and whole-genome sequencing studies has exposed a strong need for even faster and more scalable implementations of key functions. In addition, GWAS and population-genetic data now frequently contain probabilistic calls, phase information, and/or multiallelic variants, none of which can be represented by PLINK 1's primary data format. To address these issues, we are developing a second-generation codebase for PLINK. The first major release from this codebase, PLINK 1.9, introduces extensive use of bit-level parallelism, O(sqrt(n))-time/constant-space Hardy-Weinberg equilibrium and Fisher's exact tests, and many other algorithmic improvements. In combination, these changes accelerate most operations by 1-4 orders of magnitude, and allow the program to handle datasets too large to fit in RAM. This will be followed by PLINK 2.0, which will introduce (a) a new data format capable of efficiently representing probabilities, phase, and multiallelic variants, and (b) extensions of many functions to account for the new types of information. The second-generation versions of PLINK will offer dramatic improvements in performance and compatibility. For the first time, users without access to high-end computing resources can perform several essential analyses of the feature-rich and very large genetic datasets coming into use.
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              Mechanisms of thyroid hormone action.

              Our understanding of thyroid hormone action has been substantially altered by recent clinical observations of thyroid signaling defects in syndromes of hormone resistance and in a broad range of conditions, including profound mental retardation, obesity, metabolic disorders, and a number of cancers. The mechanism of thyroid hormone action has been informed by these clinical observations as well as by animal models and has influenced the way we view the role of local ligand availability; tissue and cell-specific thyroid hormone transporters, corepressors, and coactivators; thyroid hormone receptor (TR) isoform-specific action; and cross-talk in metabolic regulation and neural development. In some cases, our new understanding has already been translated into therapeutic strategies, especially for treating hyperlipidemia and obesity, and other drugs are in development to treat cardiac disease and cancer and to improve cognitive function.
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                Author and article information

                Contributors
                Journal
                J Clin Endocrinol Metab
                J Clin Endocrinol Metab
                jcem
                The Journal of Clinical Endocrinology and Metabolism
                Oxford University Press (US )
                0021-972X
                1945-7197
                June 2022
                09 March 2022
                09 March 2022
                : 107
                : 6
                : e2276-e2283
                Affiliations
                Department of Internal Medicine, Division of Endocrinology, Radboud University Medical Center , Nijmegen, The Netherlands
                Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus Medical Center , Rotterdam, The Netherlands
                Department of Epidemiology, Erasmus Medical Center , Rotterdam, The Netherlands
                Radboud University Medical Center, Radboud Institute for Health Sciences, Department for Health Evidence , Nijmegen, The Netherlands
                Institute for Community Medicine, University Medicine Greifswald , Greifswald, Germany
                DZHK (German Center for Cardiovascular Research) , partner site Greifswald, Greifswald, Germany
                Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok , Bialystok, Poland
                Department of Internal Medicine, Division of Endocrinology, Radboud University Medical Center , Nijmegen, The Netherlands
                Department of Quantitative Genetics and Genomics, Aarhus University , Aarhus, Denmark
                Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus Medical Center , Rotterdam, The Netherlands
                Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus Medical Center , Rotterdam, The Netherlands
                Department of Internal Medicine, Division of Endocrinology, Radboud University Medical Center , Nijmegen, The Netherlands
                Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus Medical Center , Rotterdam, The Netherlands
                Department of Internal Medicine, Division of Endocrinology, Radboud University Medical Center , Nijmegen, The Netherlands
                Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus Medical Center , Rotterdam, The Netherlands
                Department of Epidemiology, Erasmus Medical Center , Rotterdam, The Netherlands
                Author notes
                Correspondence: Marco Medici, MD, PhD, Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands. Email: m.medici@ 123456erasmusmc.nl .
                Author information
                https://orcid.org/0000-0003-4758-9185
                https://orcid.org/0000-0002-8309-094X
                https://orcid.org/0000-0002-9603-0460
                https://orcid.org/0000-0001-7732-9371
                https://orcid.org/0000-0002-7271-7858
                Article
                dgac136
                10.1210/clinem/dgac136
                9315164
                35262175
                4662e3ac-abcd-4709-9240-0b8439b65493
                © The Author(s) 2022. Published by Oxford University Press on behalf of the Endocrine Society.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 08 November 2021
                : 03 March 2022
                : 01 April 2022
                Page count
                Pages: 8
                Categories
                Online Only Articles
                Clinical Research Article
                AcademicSubjects/MED00250

                Endocrinology & Diabetes
                thyroid,tsh,ft4,genetics,single nucleotide polymorphism,candidate gene
                Endocrinology & Diabetes
                thyroid, tsh, ft4, genetics, single nucleotide polymorphism, candidate gene

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