Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Artículo

Common variants in SOCS7 gene predict obesity, disturbances in lipid metabolism and insulin resistance

Tellechea, Mariana LorenaIcon ; Penas Steinhardt, AlbertoIcon ; Rodriguez, G.; Taverna, Mariano JavierIcon ; Poskus, EdgardoIcon ; Frechtel, G.
Fecha de publicación: 03/2012
Editorial: Elsevier
Revista: Nutrition Metabolism And Cardiovascular Diseases
ISSN: 0939-4753
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Genética Humana

Resumen

Background and Aims: Specific Suppressor Of Cytokine Signaling (SOCS) members, such as SOCS7, may play a role in the development of insulin resistance (IR) owing to their ability to inhibit insulin signaling pathways. The objective was to explore the association between common variants and related haplotypes in SOCS7 gene and metabolic traits related to obesity, lipid metabolism and IR. Methods and Results: 780 unrelated men were included in a cross-sectional study. We selected three tagged SNPs that capture 100% of SNPs with minor allele frequency ≥ 0.10. Analyses were done separately for each SNP and followed up by haplotype analysis. rs8074124C was associated with both obesity (P = 0.005) and abdominal obesity (P = 0.002) and allele C carriers showed, in comparison with TT-carriers, lower BMI (P = 0.001) and waist circumference (P = 0.001). rs8074124CC- carriers showed lower fasting insulin (P = 0.017) and HOMA-IR (P = 0.018) than allele T carriers. rs12051836C was associated with hypertriglyceridemia (P = 0.009) and hypertriglyceridemic waist (P = 0.006). rs12051836CC- carriers showed lower fasting insulin (P = 0.043) and HOMA-IR (P = 0.042). Haplotype-based association analysis (rs8074124 and rs12051836 in that order) showed associations with lipid and obesity -related phenotypes, consistent with single locus analysis. Haplotype analysis also revealed association between haplotype CT and both decreased HDL-C (P = 0.026) and HDL-C (P = 0.014) as a continuous variable. Conclusion: We found, for the first time, significant associations between SOCS7 common variants and related haplotypes and obesity, IR and lipid metabolism disorders.
Palabras clave: Socs7 , Insulin Resistance , Tagsnps , Inflammation
Ver el registro completo
 
Archivos asociados
Thumbnail
 
Tamaño: 244.3Kb
Formato: PDF
.
Descargar
Licencia
info:eu-repo/semantics/openAccess 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/11336/8049
URL: http://www.nmcd-journal.com/article/S0939-4753(11)00253-5/abstract
DOI: http://dx.doi.org/10.1016/j.numecd.2011.10.005
URL: http://www.sciencedirect.com/science/article/pii/S0939475311002535
Colecciones
Articulos(IDEHU)
Articulos de INST.DE EST.DE LA INMUNIDAD HUMORAL PROF.R.A.MARGNI
Citación
Tellechea, Mariana Lorena; Penas Steinhardt, Alberto; Rodriguez, G.; Taverna, Mariano Javier; Poskus, Edgardo; et al.; Common variants in SOCS7 gene predict obesity, disturbances in lipid metabolism and insulin resistance; Elsevier; Nutrition Metabolism And Cardiovascular Diseases; 23; 5; 3-2012; 424-431
Compartir
Altmétricas
 

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES