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   A combined linkage and association strategy identifies a variant near the GSTP1 gene associated with BMI in the Mexican population  
   
نویسنده Villamil-Ramírez Hugo ,León-Mimila Paola ,Macias-Kauffer Luis R ,Canizalez-Román Adrián ,Villalobos-Comparán Marisela ,León-Sicairos Nidia ,Vega-Badillo Joel ,Sánchez-Muñoz Fausto ,López-Contreras Blanca ,Morán-Ramos Sofía ,Villarreal-Molina Teresa ,Zurita Luis C ,Campos-Pérez Francisco ,Huertas-Vazquez Adriana ,Bojalil Rafael ,Romero-Hidalgo Sandra ,Aguilar-Salinas Carlos A ,Canizales-Quinteros Samuel
منبع journal of human genetics - 2017 - دوره : 62 - شماره : 3 - صفحه:413 -418
چکیده    Obesity is a major public health concern in mexico and worldwide. although the estimated heritability is high, common variants identified by genome-wide association studies explain only a small proportion of this heritability. a combination of linkage and association strategies could be a more robust and powerful approach to identify other obesity-susceptibility variants. we thus sought to identify novel genetic variants associated with obesity-related traits in the mexican population by combining these methods. we performed a genome-wide linkage scan for body mass index (bmi) and other obesity-related phenotypes in 16 mexican families using the sequential oligogenic linkage analysis routines program. associated single-nucleotide polymorphisms (snps) were tested for associations in an independent cohort. two suggestive bmi-linkage peaks (logarithm of odds ⩾1.5) were observed at chromosomal regions 11q13 and 13q22. only rs614080 in the 11q13 region was significantly associated with bmi and related traits in these families. this association was also significant in an independent cohort of mexican adults. moreover, this variant was significantly associated with gstp1 gene expression levels in adipose tissue. in conclusion, the rs614080 snp near the gstp1 gene was significantly associated with bmi and gstp1 expression levels in the mexican population.
آدرس Universidad Autónoma Metropolitana, Programa de Doctorado en Ciencias Biológicas y de la Salud, México. UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), México, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), México, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), México, Universidad Autónoma de Sinaloa, México, Departamento de Genómica Computacional, INMEGEN, México, Universidad Autónoma de Sinaloa, México, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), México, Instituto Nacional de Cardiología Ignacio Chávez (INCICh), Departamento de Inmunología, México, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), México, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), México, Laboratorio de Enfermedades Cardiovasculares, INMEGEN, México, Hospital General ‘Dr Rubén Leñero’, México, Hospital General ‘Dr Rubén Leñero’, México, David Geffen School of Medicine, Department of Medicine, USA, Instituto Nacional de Cardiología Ignacio Chávez (INCICh), Departamento de Inmunología, México. Universidad Autónoma Metropolitana-Xochimilco, Departmento de Atención a la salud, México, Departamento de Genómica Computacional, INMEGEN, México, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Departamento de Endocrinología y Metabolismo, México, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), México
 
     
   
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