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Artículo

Curating the gnomAD database: Report of novel variants in the thyrogobulin gene using in silico bioinformatics algorithms

Gomes Pio, MauricioIcon ; Siffo, SofíaIcon ; Scheps, KarenIcon ; Molina, Maricel FernandaIcon ; Adrover, EzequielaIcon ; Abelleyro, Miguel MartinIcon ; Rivolta, Carina MarcelaIcon ; Targovnik, Hector ManuelIcon
Fecha de publicación: 08/2021
Editorial: Elsevier Ireland
Revista: Molecular and Cellular Endocrinology
ISSN: 0303-7207
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Bioquímica y Biología Molecular

Resumen

Thyroglobulin (TG) is a large glycosylated protein of 2767 amino acids, secreted by the thyrocytes into the follicular lumen. It plays an essential role in the process of thyroid hormone synthesis. TG gene variants lead to permanent congenital hypothyroidism. In the present work, we report a detailed population and bioinformatic prediction analyses of the TG variants indexed in the Genome Aggregation Database (gnomAD). The results showed a clear predominance of nonsense variants in the European (Finnish), European (Non-Finnish) and Ashkenazi Jewish ethnic groups, whereas the splice site variants predominate in South Asian and African/African-American populations. In total, 282 novel TG variants were described (47 missense involving the wild-type cysteine residues, 177 missense located in the ChEL domain and 58 splice site variants) which were not reported in the literature and that would have deleterious effects in prediction programs. In the gnomAD population, the estimated prevalence of heterozygous carriers of the potentially damaging variants was 1:320. In conclusion, we provide an updated and curated reference source for the diagnosis of thyroid disease, mainly to congenital hypothyroidism due to TG deficiency. The identification and characterization of TG variants is undoubtedly a valuable approach to study the TG structure/function relations and an important tool for clinical diagnosis and genetic counseling.
Palabras clave: BIOINFORMATIC PREDICTOR TOOLS , LOSS-OF-FUNCTION VARIANTS , MISSENSE VARIANTS , THYROGLOBULIN GENE , THYROID DISEASES
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/147594
URL: https://linkinghub.elsevier.com/retrieve/pii/S0303720721002033
DOI: http://dx.doi.org/10.1016/j.mce.2021.111359
Colecciones
Articulos(IMEX)
Articulos de INST.DE MEDICINA EXPERIMENTAL
Articulos(INIGEM)
Articulos de INSTITUTO DE INMUNOLOGIA, GENETICA Y METABOLISMO
Citación
Gomes Pio, Mauricio; Siffo, Sofía; Scheps, Karen; Molina, Maricel Fernanda; Adrover, Ezequiela; et al.; Curating the gnomAD database: Report of novel variants in the thyrogobulin gene using in silico bioinformatics algorithms; Elsevier Ireland; Molecular and Cellular Endocrinology; 534; 8-2021; 1-22
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