Applying bioinformatic platforms, in vitro, and in vivo functional assays in the characterization of genetic variants in the GH/IGF pathway affecting growth and development
- Autores
- Domene, Sabina; Scaglia, Paula Alejandra; Gutiérrez, Mariana Lilián; Domene, Horacio Mario
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Heritability accounts for over 80% of adult human height, indicating that genetic variabil-ity is the main determinant of stature. The rapid technological development of Next-Generation Sequencing (NGS), particularly Whole Exome Sequencing (WES), has resulted in the characterization of several genetic conditions affecting growth and development. The greatest challenge of NGS remains the high number of candidate variants identified. In silico bioinformatic tools represent the first approach for classifying these variants. However, solving the complicated problem of variant interpretation requires the use of experimental approaches such as in vitro and, when needed, in vivo functional assays. In this review, we will discuss a rational approach to apply to the gene variants identified in children with growth and developmental defects including: (i) bioinformatic tools; (ii) in silico modeling tools; (iii) in vitro functional assays; and (iv) the development of in vivo models. While bioinformatic tools are useful for a preliminary selection of potentially pathogenic variants, in vitro—and sometimes also in vivo—functional assays are further required to unequivocally determine the pathogenicity of a novel genetic variant. This long, time-consuming, and expensive process is the only scientifically proven method to determine causality between a genetic variant and a human genetic disease.
Fil: Domene, Sabina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Fundación de Endocrinología Infantil. Centro de Investigaciones Endocrinológicas "Dr. César Bergada"; Argentina
Fil: Scaglia, Paula Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Fundación de Endocrinología Infantil. Centro de Investigaciones Endocrinológicas "Dr. César Bergada"; Argentina
Fil: Gutiérrez, Mariana Lilián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Fundación de Endocrinología Infantil. Centro de Investigaciones Endocrinológicas "Dr. César Bergada"; Argentina
Fil: Domene, Horacio Mario. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Fundación de Endocrinología Infantil. Centro de Investigaciones Endocrinológicas "Dr. César Bergada"; Argentina - Materia
-
BIOINFORMATICS
FUNCTIONAL ASSAYS
GH-IGF AXIS
GROWTH AND DEVELOPMENT
NEXT-GENERATION SEQUENCING
SHORT STATURE - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/211916
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Applying bioinformatic platforms, in vitro, and in vivo functional assays in the characterization of genetic variants in the GH/IGF pathway affecting growth and developmentDomene, SabinaScaglia, Paula AlejandraGutiérrez, Mariana LiliánDomene, Horacio MarioBIOINFORMATICSFUNCTIONAL ASSAYSGH-IGF AXISGROWTH AND DEVELOPMENTNEXT-GENERATION SEQUENCINGSHORT STATUREhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Heritability accounts for over 80% of adult human height, indicating that genetic variabil-ity is the main determinant of stature. The rapid technological development of Next-Generation Sequencing (NGS), particularly Whole Exome Sequencing (WES), has resulted in the characterization of several genetic conditions affecting growth and development. The greatest challenge of NGS remains the high number of candidate variants identified. In silico bioinformatic tools represent the first approach for classifying these variants. However, solving the complicated problem of variant interpretation requires the use of experimental approaches such as in vitro and, when needed, in vivo functional assays. In this review, we will discuss a rational approach to apply to the gene variants identified in children with growth and developmental defects including: (i) bioinformatic tools; (ii) in silico modeling tools; (iii) in vitro functional assays; and (iv) the development of in vivo models. While bioinformatic tools are useful for a preliminary selection of potentially pathogenic variants, in vitro—and sometimes also in vivo—functional assays are further required to unequivocally determine the pathogenicity of a novel genetic variant. This long, time-consuming, and expensive process is the only scientifically proven method to determine causality between a genetic variant and a human genetic disease.Fil: Domene, Sabina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Fundación de Endocrinología Infantil. Centro de Investigaciones Endocrinológicas "Dr. César Bergada"; ArgentinaFil: Scaglia, Paula Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Fundación de Endocrinología Infantil. Centro de Investigaciones Endocrinológicas "Dr. César Bergada"; ArgentinaFil: Gutiérrez, Mariana Lilián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Fundación de Endocrinología Infantil. Centro de Investigaciones Endocrinológicas "Dr. César Bergada"; ArgentinaFil: Domene, Horacio Mario. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Fundación de Endocrinología Infantil. Centro de Investigaciones Endocrinológicas "Dr. César Bergada"; ArgentinaMDPI2021-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/211916Domene, Sabina; Scaglia, Paula Alejandra; Gutiérrez, Mariana Lilián; Domene, Horacio Mario; Applying bioinformatic platforms, in vitro, and in vivo functional assays in the characterization of genetic variants in the GH/IGF pathway affecting growth and development; MDPI; Cells; 10; 8; 8-2021; 1-242073-4409CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2073-4409/10/8/2063info:eu-repo/semantics/altIdentifier/doi/10.3390/cells10082063info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:56:31Zoai:ri.conicet.gov.ar:11336/211916instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:56:31.475CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Applying bioinformatic platforms, in vitro, and in vivo functional assays in the characterization of genetic variants in the GH/IGF pathway affecting growth and development |
title |
Applying bioinformatic platforms, in vitro, and in vivo functional assays in the characterization of genetic variants in the GH/IGF pathway affecting growth and development |
spellingShingle |
Applying bioinformatic platforms, in vitro, and in vivo functional assays in the characterization of genetic variants in the GH/IGF pathway affecting growth and development Domene, Sabina BIOINFORMATICS FUNCTIONAL ASSAYS GH-IGF AXIS GROWTH AND DEVELOPMENT NEXT-GENERATION SEQUENCING SHORT STATURE |
title_short |
Applying bioinformatic platforms, in vitro, and in vivo functional assays in the characterization of genetic variants in the GH/IGF pathway affecting growth and development |
title_full |
Applying bioinformatic platforms, in vitro, and in vivo functional assays in the characterization of genetic variants in the GH/IGF pathway affecting growth and development |
title_fullStr |
Applying bioinformatic platforms, in vitro, and in vivo functional assays in the characterization of genetic variants in the GH/IGF pathway affecting growth and development |
title_full_unstemmed |
Applying bioinformatic platforms, in vitro, and in vivo functional assays in the characterization of genetic variants in the GH/IGF pathway affecting growth and development |
title_sort |
Applying bioinformatic platforms, in vitro, and in vivo functional assays in the characterization of genetic variants in the GH/IGF pathway affecting growth and development |
dc.creator.none.fl_str_mv |
Domene, Sabina Scaglia, Paula Alejandra Gutiérrez, Mariana Lilián Domene, Horacio Mario |
author |
Domene, Sabina |
author_facet |
Domene, Sabina Scaglia, Paula Alejandra Gutiérrez, Mariana Lilián Domene, Horacio Mario |
author_role |
author |
author2 |
Scaglia, Paula Alejandra Gutiérrez, Mariana Lilián Domene, Horacio Mario |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
BIOINFORMATICS FUNCTIONAL ASSAYS GH-IGF AXIS GROWTH AND DEVELOPMENT NEXT-GENERATION SEQUENCING SHORT STATURE |
topic |
BIOINFORMATICS FUNCTIONAL ASSAYS GH-IGF AXIS GROWTH AND DEVELOPMENT NEXT-GENERATION SEQUENCING SHORT STATURE |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.1 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
Heritability accounts for over 80% of adult human height, indicating that genetic variabil-ity is the main determinant of stature. The rapid technological development of Next-Generation Sequencing (NGS), particularly Whole Exome Sequencing (WES), has resulted in the characterization of several genetic conditions affecting growth and development. The greatest challenge of NGS remains the high number of candidate variants identified. In silico bioinformatic tools represent the first approach for classifying these variants. However, solving the complicated problem of variant interpretation requires the use of experimental approaches such as in vitro and, when needed, in vivo functional assays. In this review, we will discuss a rational approach to apply to the gene variants identified in children with growth and developmental defects including: (i) bioinformatic tools; (ii) in silico modeling tools; (iii) in vitro functional assays; and (iv) the development of in vivo models. While bioinformatic tools are useful for a preliminary selection of potentially pathogenic variants, in vitro—and sometimes also in vivo—functional assays are further required to unequivocally determine the pathogenicity of a novel genetic variant. This long, time-consuming, and expensive process is the only scientifically proven method to determine causality between a genetic variant and a human genetic disease. Fil: Domene, Sabina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Fundación de Endocrinología Infantil. Centro de Investigaciones Endocrinológicas "Dr. César Bergada"; Argentina Fil: Scaglia, Paula Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Fundación de Endocrinología Infantil. Centro de Investigaciones Endocrinológicas "Dr. César Bergada"; Argentina Fil: Gutiérrez, Mariana Lilián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Fundación de Endocrinología Infantil. Centro de Investigaciones Endocrinológicas "Dr. César Bergada"; Argentina Fil: Domene, Horacio Mario. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Fundación de Endocrinología Infantil. Centro de Investigaciones Endocrinológicas "Dr. César Bergada"; Argentina |
description |
Heritability accounts for over 80% of adult human height, indicating that genetic variabil-ity is the main determinant of stature. The rapid technological development of Next-Generation Sequencing (NGS), particularly Whole Exome Sequencing (WES), has resulted in the characterization of several genetic conditions affecting growth and development. The greatest challenge of NGS remains the high number of candidate variants identified. In silico bioinformatic tools represent the first approach for classifying these variants. However, solving the complicated problem of variant interpretation requires the use of experimental approaches such as in vitro and, when needed, in vivo functional assays. In this review, we will discuss a rational approach to apply to the gene variants identified in children with growth and developmental defects including: (i) bioinformatic tools; (ii) in silico modeling tools; (iii) in vitro functional assays; and (iv) the development of in vivo models. While bioinformatic tools are useful for a preliminary selection of potentially pathogenic variants, in vitro—and sometimes also in vivo—functional assays are further required to unequivocally determine the pathogenicity of a novel genetic variant. This long, time-consuming, and expensive process is the only scientifically proven method to determine causality between a genetic variant and a human genetic disease. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/211916 Domene, Sabina; Scaglia, Paula Alejandra; Gutiérrez, Mariana Lilián; Domene, Horacio Mario; Applying bioinformatic platforms, in vitro, and in vivo functional assays in the characterization of genetic variants in the GH/IGF pathway affecting growth and development; MDPI; Cells; 10; 8; 8-2021; 1-24 2073-4409 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/211916 |
identifier_str_mv |
Domene, Sabina; Scaglia, Paula Alejandra; Gutiérrez, Mariana Lilián; Domene, Horacio Mario; Applying bioinformatic platforms, in vitro, and in vivo functional assays in the characterization of genetic variants in the GH/IGF pathway affecting growth and development; MDPI; Cells; 10; 8; 8-2021; 1-24 2073-4409 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2073-4409/10/8/2063 info:eu-repo/semantics/altIdentifier/doi/10.3390/cells10082063 |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
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openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
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application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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