Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertension
- Autores
- Sookoian, Silvia Cristina; Fernández Gianotti, Tomás; Gemma, Carolina; Burgueño, Adriana Laura; Pirola, Carlos José
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- OBJECTIVE: To perform a two-stage study to explore the role of gene variants in the risk of insulin resistance and arterial hypertension. METHODS AND RESULTS: The selection of variants was performed by a first stage of in-silico analysis of the original genome-wide association data sets on genes involved in metabolic syndrome components, granted by the Diabetes Genetics Initiative and the Wellcome Trust Case-Control Consortium. We started by identifying single-nucleotide polymorphisms with a cutoff for association (P < 0.05) in both data sets after the application of a computational algorithm of gene prioritization. Among the more promising variants, six single-nucleotide polymorphisms in IGF1R (rs11247362, rs10902606, rs1317459, rs11854132, rs2684761, and rs2715416) were selected for further evaluation in our population. Altogether, 1094 men, aged 34.4 +/- 8.6 years, were included in a population-based study. Genotypes of rs2684761 showed significant association with insulin resistance (as a discrete trait, odds ratio per G allele 1.27, 95% confidence interval 1.03-1.56, P = 0.026; and homeostasis model assessment-insulin resistance as a continuous trait, P = 0.01). A significant association of rs2684761 with arterial hypertension was also observed (odds ratio per G allele 1.29, 95% confidence interval 1.02-1.64, P = 0.037) after adjusting for age and homeostasis model assessment-insulin resistance. CONCLUSION: Our study suggests for the first time a putative role of IGF1R variants in individual susceptibility to metabolic syndrome-related phenotypes, in particular on the risk of having insulin resistance and arterial hypertension.
Fil: Sookoian, Silvia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina
Fil: Fernández Gianotti, Tomás. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina
Fil: Gemma, Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina
Fil: Burgueño, Adriana Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina
Fil: Pirola, Carlos José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina - Materia
-
HYPERTENSION
SNP
IGF1R
METABOLIC-SYNDROME - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/104957
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Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertensionSookoian, Silvia CristinaFernández Gianotti, TomásGemma, CarolinaBurgueño, Adriana LauraPirola, Carlos JoséHYPERTENSIONSNPIGF1RMETABOLIC-SYNDROMEhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3OBJECTIVE: To perform a two-stage study to explore the role of gene variants in the risk of insulin resistance and arterial hypertension. METHODS AND RESULTS: The selection of variants was performed by a first stage of in-silico analysis of the original genome-wide association data sets on genes involved in metabolic syndrome components, granted by the Diabetes Genetics Initiative and the Wellcome Trust Case-Control Consortium. We started by identifying single-nucleotide polymorphisms with a cutoff for association (P < 0.05) in both data sets after the application of a computational algorithm of gene prioritization. Among the more promising variants, six single-nucleotide polymorphisms in IGF1R (rs11247362, rs10902606, rs1317459, rs11854132, rs2684761, and rs2715416) were selected for further evaluation in our population. Altogether, 1094 men, aged 34.4 +/- 8.6 years, were included in a population-based study. Genotypes of rs2684761 showed significant association with insulin resistance (as a discrete trait, odds ratio per G allele 1.27, 95% confidence interval 1.03-1.56, P = 0.026; and homeostasis model assessment-insulin resistance as a continuous trait, P = 0.01). A significant association of rs2684761 with arterial hypertension was also observed (odds ratio per G allele 1.29, 95% confidence interval 1.02-1.64, P = 0.037) after adjusting for age and homeostasis model assessment-insulin resistance. CONCLUSION: Our study suggests for the first time a putative role of IGF1R variants in individual susceptibility to metabolic syndrome-related phenotypes, in particular on the risk of having insulin resistance and arterial hypertension.Fil: Sookoian, Silvia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; ArgentinaFil: Fernández Gianotti, Tomás. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; ArgentinaFil: Gemma, Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; ArgentinaFil: Burgueño, Adriana Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; ArgentinaFil: Pirola, Carlos José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; ArgentinaLippincott Williams2010-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/104957Sookoian, Silvia Cristina; Fernández Gianotti, Tomás; Gemma, Carolina; Burgueño, Adriana Laura; Pirola, Carlos José; Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertension; Lippincott Williams; Journal of Hypertension; 28; 6; 2-2010; 1194-12020263-6352CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1097/HJH.0b013e328337f6d5info:eu-repo/semantics/altIdentifier/url/https://journals.lww.com/jhypertension/Abstract/2010/06000/Role_of_genetic_variation_in_insulin_like_growth.13.aspxinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:25:56Zoai:ri.conicet.gov.ar:11336/104957instacron: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:34982025-09-29 10:25:56.653CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertension |
title |
Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertension |
spellingShingle |
Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertension Sookoian, Silvia Cristina HYPERTENSION SNP IGF1R METABOLIC-SYNDROME |
title_short |
Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertension |
title_full |
Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertension |
title_fullStr |
Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertension |
title_full_unstemmed |
Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertension |
title_sort |
Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertension |
dc.creator.none.fl_str_mv |
Sookoian, Silvia Cristina Fernández Gianotti, Tomás Gemma, Carolina Burgueño, Adriana Laura Pirola, Carlos José |
author |
Sookoian, Silvia Cristina |
author_facet |
Sookoian, Silvia Cristina Fernández Gianotti, Tomás Gemma, Carolina Burgueño, Adriana Laura Pirola, Carlos José |
author_role |
author |
author2 |
Fernández Gianotti, Tomás Gemma, Carolina Burgueño, Adriana Laura Pirola, Carlos José |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
HYPERTENSION SNP IGF1R METABOLIC-SYNDROME |
topic |
HYPERTENSION SNP IGF1R METABOLIC-SYNDROME |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.1 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
OBJECTIVE: To perform a two-stage study to explore the role of gene variants in the risk of insulin resistance and arterial hypertension. METHODS AND RESULTS: The selection of variants was performed by a first stage of in-silico analysis of the original genome-wide association data sets on genes involved in metabolic syndrome components, granted by the Diabetes Genetics Initiative and the Wellcome Trust Case-Control Consortium. We started by identifying single-nucleotide polymorphisms with a cutoff for association (P < 0.05) in both data sets after the application of a computational algorithm of gene prioritization. Among the more promising variants, six single-nucleotide polymorphisms in IGF1R (rs11247362, rs10902606, rs1317459, rs11854132, rs2684761, and rs2715416) were selected for further evaluation in our population. Altogether, 1094 men, aged 34.4 +/- 8.6 years, were included in a population-based study. Genotypes of rs2684761 showed significant association with insulin resistance (as a discrete trait, odds ratio per G allele 1.27, 95% confidence interval 1.03-1.56, P = 0.026; and homeostasis model assessment-insulin resistance as a continuous trait, P = 0.01). A significant association of rs2684761 with arterial hypertension was also observed (odds ratio per G allele 1.29, 95% confidence interval 1.02-1.64, P = 0.037) after adjusting for age and homeostasis model assessment-insulin resistance. CONCLUSION: Our study suggests for the first time a putative role of IGF1R variants in individual susceptibility to metabolic syndrome-related phenotypes, in particular on the risk of having insulin resistance and arterial hypertension. Fil: Sookoian, Silvia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina Fil: Fernández Gianotti, Tomás. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina Fil: Gemma, Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina Fil: Burgueño, Adriana Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina Fil: Pirola, Carlos José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina |
description |
OBJECTIVE: To perform a two-stage study to explore the role of gene variants in the risk of insulin resistance and arterial hypertension. METHODS AND RESULTS: The selection of variants was performed by a first stage of in-silico analysis of the original genome-wide association data sets on genes involved in metabolic syndrome components, granted by the Diabetes Genetics Initiative and the Wellcome Trust Case-Control Consortium. We started by identifying single-nucleotide polymorphisms with a cutoff for association (P < 0.05) in both data sets after the application of a computational algorithm of gene prioritization. Among the more promising variants, six single-nucleotide polymorphisms in IGF1R (rs11247362, rs10902606, rs1317459, rs11854132, rs2684761, and rs2715416) were selected for further evaluation in our population. Altogether, 1094 men, aged 34.4 +/- 8.6 years, were included in a population-based study. Genotypes of rs2684761 showed significant association with insulin resistance (as a discrete trait, odds ratio per G allele 1.27, 95% confidence interval 1.03-1.56, P = 0.026; and homeostasis model assessment-insulin resistance as a continuous trait, P = 0.01). A significant association of rs2684761 with arterial hypertension was also observed (odds ratio per G allele 1.29, 95% confidence interval 1.02-1.64, P = 0.037) after adjusting for age and homeostasis model assessment-insulin resistance. CONCLUSION: Our study suggests for the first time a putative role of IGF1R variants in individual susceptibility to metabolic syndrome-related phenotypes, in particular on the risk of having insulin resistance and arterial hypertension. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-02 |
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/11336/104957 Sookoian, Silvia Cristina; Fernández Gianotti, Tomás; Gemma, Carolina; Burgueño, Adriana Laura; Pirola, Carlos José; Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertension; Lippincott Williams; Journal of Hypertension; 28; 6; 2-2010; 1194-1202 0263-6352 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/104957 |
identifier_str_mv |
Sookoian, Silvia Cristina; Fernández Gianotti, Tomás; Gemma, Carolina; Burgueño, Adriana Laura; Pirola, Carlos José; Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertension; Lippincott Williams; Journal of Hypertension; 28; 6; 2-2010; 1194-1202 0263-6352 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1097/HJH.0b013e328337f6d5 info:eu-repo/semantics/altIdentifier/url/https://journals.lww.com/jhypertension/Abstract/2010/06000/Role_of_genetic_variation_in_insulin_like_growth.13.aspx |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Lippincott Williams |
publisher.none.fl_str_mv |
Lippincott Williams |
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) |
collection |
CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
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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13.070432 |