prikaz prve stranice dokumenta Genome-Wide Association Analysis and Genomic Prediction of Thyroglobulin Plasma Levels
  Download
PDF 1.7 MB
Scientific paper - Original scientific paper
Genome-Wide Association Analysis and Genomic Prediction of Thyroglobulin Plasma Levels
International Journal of Molecular Sciences, 23 (2022), 4; 1181663. https://doi.org/10.3390/ijms23042173
Pleić, Nikolina; Babić Leko, Mirjana; Gunjača, Ivana; Boutin, Thibaud; Torlak, Vesela; Matana, Antonela; Punda, Ante; Polašek, Ozren; Hayward, Caroline; Zemunik, Tatijana

Cite this document

Pleić, N., Babić Leko, M., Gunjača, I., Boutin, T., Torlak, V., Matana, A. ... Zemunik, T. (2022). Genome-Wide Association Analysis and Genomic Prediction of Thyroglobulin Plasma Levels. International Journal of Molecular Sciences, 23. (4). doi: 10.3390/ijms23042173

Pleić, Nikolina, et al. "Genome-Wide Association Analysis and Genomic Prediction of Thyroglobulin Plasma Levels." International Journal of Molecular Sciences, vol. 23, no. 4, 2022. https://doi.org/10.3390/ijms23042173

Pleić, Nikolina, Mirjana Babić Leko, Ivana Gunjača, Thibaud Boutin, Vesela Torlak, Antonela Matana, Ante Punda, Ozren Polašek, Caroline Hayward and Tatijana Zemunik. "Genome-Wide Association Analysis and Genomic Prediction of Thyroglobulin Plasma Levels." International Journal of Molecular Sciences 23, no. 4 (2022). https://doi.org/10.3390/ijms23042173

Pleić, N., et al. (2022) 'Genome-Wide Association Analysis and Genomic Prediction of Thyroglobulin Plasma Levels', International Journal of Molecular Sciences, 23(4). doi: 10.3390/ijms23042173

Pleić N, Babić Leko M, Gunjača I, Boutin T, Torlak V, Matana A, and sur.. Genome-Wide Association Analysis and Genomic Prediction of Thyroglobulin Plasma Levels. International Journal of Molecular Sciences [Internet]. 2022 [cited 2024 April 17];23(4). doi: 10.3390/ijms23042173

N. Pleić, et al., "Genome-Wide Association Analysis and Genomic Prediction of Thyroglobulin Plasma Levels", International Journal of Molecular Sciences, vol. 23, no. 4, 2022. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:171:272227. [Accessed: 17 April 2024]

Please login to the repository to save this object to your list.
Metadata
Title (english)Genome-Wide Association Analysis and Genomic Prediction of Thyroglobulin Plasma Levels
AuthorNikolina Pleić
MBZ: 40552932384
AuthorMirjana Babić Leko
MBZ: 42858428090
AuthorIvana Gunjača
MBZ: 16560336337
AuthorThibaud Boutin
AuthorVesela Torlak
MBZ: 73750438939
AuthorAntonela Matana
MBZ: 21209748989
AuthorAnte Punda
MBZ: 03985407884
AuthorOzren Polašek
MBZ: 75588813581
AuthorCaroline Hayward
AuthorTatijana Zemunik
MBZ: 68056150276
Author's institution(University Hospital of Split)
Author's institutionUniversity of Split
School of Medicine
(Medical biology)
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Basic Medical Sciences
Human Genetics, Genomics and Proteomics
Abstract (english)
Thyroglobulin (Tg) is an iodoglycoprotein produced by thyroid follicular cells which acts as an essential substrate for thyroid hormone synthesis. To date, only one genome-wide association study (GWAS) of plasma Tg levels has been performed by our research group. Utilizing recent advancements in computation and modeling, we apply a Bayesian approach to the probabilistic inference of the genetic architecture of Tg. We fitted a Bayesian sparse linear mixed model (BSLMM) and a frequentist linear mixed model (LMM) of 7, 289, 083 variants in 1096 healthy European-ancestry participants of the Croatian Biobank. Meta- analysis with two independent cohorts (total n = 2109) identified 83 genome-wide significant single nucleotide polymorphisms (SNPs) within the ST6GAL1 gene (p<5×10−8). BSLMM revealed additional association signals on chromosomes 1, 8, 10, and 14. For ST6GAL1 and the newly uncovered genes, we provide physiological and pathophysiological explanations of how their expression could be associated with variations in plasma Tg levels. We found that the SNP-heritability of Tg is 17% and that 52% of this variation is due to a small number of 16 variants that have a major effect on Tg levels. Our results suggest that the genetic architecture of plasma Tg is not polygenic, but influenced by a few genes with major effects.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleInternational Journal of Molecular Sciences
Numberingvol. 23, no. 4, 1181663
e-ISSN1422-0067
DOIhttps://doi.org/10.3390/ijms23042173
URN:NBNurn:nbn:hr:171:272227
Publication2022
ProjectNumber: 2593
Title (croatian): Reguliranje funkcije štitne i doštitne žlijezde i homeostaze kalcija u krvi
Jurisdiction: Croatia
Document URLhttp://bib.irb.hr/1181663
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2022-07-08 12:38:47