Tatijana Zemunik
Mirjana Babić Leko
Ivana GunjačaEditorial on the Research Topic
Genetics of thyroid gland
Normal human physiology is vitally influenced by thyroid hormones. Thyroid hormones affect almost all human tissues influencing development and growth, regulating vital body functions and metabolism (Panicker, 2011). The prevalence of thyroid diseases is up to 10% in the general population and represents a significant health problem (Panicker et al., 2010). Thyroid hormones/antibodies are considered complex traits and their concentrations are influenced by genetic and environmental factors. However, genes responsible for thyroid hormone/antibody concentrations as well as environmental factors remain largely undetermined (Panicker, 2011). In the last few decades, advanced high-throughput sequencing technologies have contributed to the development of genome-wide association studies (GWAS) which rapidly become the most used method for the identification of common genetic variants associated with complex traits and diseases (Chimusa and Defo, 2022). Furthermore, GWAS meta-analysis represents a statistical synthesis of multiple independent GWAS studies and consequently increases power and excludes false positive variants. Therefore, a GWAS meta-analysis has grown into a significant statistical method for the identification of new genetic loci underlying complex traits and diseases (Evangelou and Ioannidis, 2013). A fundamental goal of genetic studies is to predict complex phenotypes from genomic data, and prediction studies become very popular recently (Morgante et al., 2018). The best-investigated complex phenotypes of the thyroid gland, as well as thyroid diseases at the whole genome level, are thyroid-stimulating hormone (TSH), free thyroxine (fT4) levels, Graves’ disease and thyrotoxicosis (Zhou et al., 2020; Teumer et al., 2018; Sakaue et al., 2021; Backman et al., 2021).
Although the mentioned approaches are very important in determining the genetic function of the thyroid gland, there are other types of genetic studies that help in elucidating the function of the gland. One of the manuscripts published in this Research Topic aimed to identify ferroptosis-related genes (FRGs) that may have a diagnostic and therapeutic association with thyroid-associated ophthalmopathy (TAO). Using a high-throughput gene expression database (GEO) authors identify differentially expressed genes and differentially expressed FRGs between TAO patients and controls. The authors also applied immune cell infiltrative analysis using the CIBERSORT algorithm to prove the difference between TAO patients and controls, and finally, they also identify differentially expressed ferroptosis-related lncRNAs in the TAO group. Gained results were validated by in vitro experiment analysing FRGs and lncRNAs in orbital fibroblasts of three TAO patients and three healthy individuals (Chen et al.). Another manuscript found digenic variants (of five analysed pathogenic genes) in five individuals affected with congenital hypothyroidism (CH). In addition, seven novel genetic variants were identified in these patients (Yang et al.). Resistance to thyroid hormone (THR) is a rare hereditary disorder caused by mutations in the thyroid hormone receptor beta (THRβ) gene. Two case reports published in this Research Topic deal with the problem of this syndrome. In the first one, authors sequenced the coding region of THRβ gene and found a novel dinucleotide substitution located in codon 453 in the affected woman with coexisting autoimmune thyroid disease (Skowrońska-Jóźwiak et al.). In the second one, the authors reported two cases of THRβ gene mutation with coexisting papillary thyroid carcinoma (PTC). After reviewing the literature, the authors state that 17 cases of THRβ gene mutation coexisting with PTC have been described to date (Fang et al.).
All manuscripts published in this Research Topic contribute to the elucidation of the genetic background of thyroid gland dysfunction.
Author contributions
All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.
Funding
This work was partly supported by Croatian Science Foundation (grant number 2593).
Acknowledgments
We thank all the authors who contributed to this Special Edition and the expert reviewers for their time and effort invested.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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References
Backman, J. D., Li, A. H., Marcketta, A., Sun, D., Mbatchou, J., Kessler, M. D., et al. (2021). Exome sequencing and analysis of 454,787 UK Biobank participants. Nature 599, 628–634. doi:10.1038/s41586-021-04103-z
Chimusa, E. R., and Defo, J. (2022). Dissecting meta-analysis in GWAS era: Bayesian framework for gene/subnetwork-specific meta-analysis. Front. Genet. 13, 838518. doi:10.3389/fgene.2022.838518
Evangelou, E., and Ioannidis, J. P. A. (2013). Meta-analysis methods for genome-wide association studies and beyond. Nat. Rev. Genet. 14, 379–389. doi:10.1038/nrg3472
Morgante, F., Huang, W., Maltecca, C., and Mackay, T. F. C. (2018). Effect of genetic architecture on the prediction accuracy of quantitative traits in samples of unrelated individuals. Hered. (Edinb) 120, 500–514. doi:10.1038/s41437-017-0043-0
Panicker, V., Wilson, S. G., Walsh, J. P., Richards, J. B., Brown, S. J., Beilby, J. P., et al. (2010). A locus on chromosome 1p36 is associated with thyrotropin and thyroid function as identified by genome-wide association study. Am. J. Hum. Genet. 87, 430–435. doi:10.1016/j.ajhg.2010.08.005
Sakaue, S., Kanai, M., Tanigawa, Y., Karjalainen, J., Kurki, M., Koshiba, S., et al. (2021). A cross-population atlas of genetic associations for 220 human phenotypes. Nat. Genet. 53, 1415–1424. doi:10.1038/s41588-021-00931-x
Teumer, A., Chaker, L., Groeneweg, S., Li, Y., Di Munno, C., Barbieri, C., et al. (2018). Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation. Nat. Commun. 9, 4455. doi:10.1038/s41467-018-06356-1
Keywords: thyroid gland, genetics, thyroid-associated ophthalmopathy, resistance to thyroid hormone, thyroid diseases
Citation: Zemunik T, Babić Leko M and Gunjača I (2023) Editorial: Genetics of thyroid gland. Front. Genet. 14:1219472. doi: 10.3389/fgene.2023.1219472
Received: 09 May 2023; Accepted: 25 May 2023;
Published: 30 May 2023.
Edited and reviewed by:
Jordi Pérez-Tur, Spanish National Research Council (CSIC), SpainCopyright © 2023 Zemunik, Babić Leko and Gunjača. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Tatijana Zemunik, dHplbXVuaWtAbWVmc3QuaHI=