NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE70353 Query DataSets for GSE70353
Status Public on Jan 13, 2017
Title Subcutaneous adipose tissue gene expression from men that are part of the METSIM study
Organism Homo sapiens
Experiment type Expression profiling by array
Summary We analyzed samples from 770 male human subjects who are part of the METSIM study. Ethics Committee of the Northern Savo Hospital District approved the study. All participants gave written informed consent. The population-based cross-sectional METSIM study included 10 197 men, aged from 45 to 73 years, who were randomly selected from the population register of the Kuopio town in eastern Finland (population 95000). Every participant had a 1-day outpatient visit to the Clinical Research Unit at the University of Kuopio, including an interview on the history of previous diseases and current drug treatment and an evaluation of glucose tolerance and cardiovascular risk factors. After 12 h of fasting, a 2 h oral 75 g glucose tolerance test was performed and the blood samples were drawn at 0, 30 and 120 min. Plasma glucose was measured by enzymatic hexokinase photometric assay (Konelab Systems reagents; Thermo Fischer Scientific, Vantaa, Finland). Insulin was determined by immunoassay (ADVIA Centaur Insulin IRI no. 02230141; Siemens Medical Solutions Diagnostics, Tarrytown, NY, USA). Height and weight were measured to the nearest 0.5 cm and 0.1 kg, respectively. Waist circumference (at the midpoint between the lateral iliac crest and lowest rib) and hip circumference (at the level of the trochanter major) were measured to the nearest 0.5 cm. Body composition was determined by bioelectrical impedance (RJL Systems) in subjects in the supine position.
 
Overall design Total RNA was obtained from subcutaneous fat biopsies from 770 people participating in the METSIM study
 
Contributor(s) Civelek M, Laakso M
Citation(s) 28257690
NIH grant(s)
Grant ID Grant title Affiliation Name
R00 HL121172 Systems genetics analysis of cardiometabolic trait loci in humans UNIVERSITY OF VIRGINIA CHARLOTTESVILLE Civelek
P01 HL028481 MOLECULAR GENETIC APPROCHES IN ATHEROSCLEROSIS RESEARCH: Molecular Genetic Approaches in Atherosclerosis Research: Molecular Genetic Approaches in Atherosclerosis Research: Molecular Genetic Approaches in Atherosclerosis Research: MOLECULAR GENETIC APPROCHES IN ATHEROSCLEROSIS RESEARCH: Molecular Genetic Approaches in Atherosclerosis Research: Molecular Genetic Approaches in Atherosclerosis Research: Molecular Genetic Approaches in Atherosclerosis Research: Molecular Genetic Approaches in Atherosclerosis Research: Molecular Genetic Approaches in Atherosclerosis Research: Molecular Genetic Approaches in Atherosclerosis Research: Molecular Genetic Approaches in Atherosclerosis Research: Molecular Genetic Approaches in Atherosclerosis Research: MOLECULAR GENETIC APPROCHES IN ATHEROSCLEROSIS RESEARCH: MOLECULAR GENETIC APPROCHES IN ATHEROSCLEROSIS RESEARCH: Molecular Genetic Approaches in Atherosclerosis Research: Molecular Genetic Approaches in Atherosclerosis Research UNIVERSITY OF CALIFORNIA LOS ANGELES Aldons Jake Lusis
R01 DK072193 Targeted Genetic Analysis of T2D and Quantitative Traits UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL Karen L. Mohlke
R01 DK093757 Genetic epidemiology of rare and regulatory variants for metabolic traits UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL Karen L. Mohlke
U01 DK105561 Functional genetic variants for type 2 diabetes UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL Karen L. Mohlke
U01 DK062370 Identifying Genes for Type 2 Diabetes: FUSION REGENTS OF THE UNIVERSITY OF MICHIGAN - ANN ARBOR MICHAEL LEE BOEHNKE
R01 HL095056 Genetics of high serum triglycerides and related metabolic traits in Mexicans: Genomics of dyslipidemia in Mexicans: Genomics of dyslipidemia in Mexicans UNIVERSITY OF CALIFORNIA LOS ANGELES Pajukanta
F31 HL127921 Identification of lipid biomarkers via integrative genomic approaches in Hispanic populations UNIVERSITY OF CALIFORNIA LOS ANGELES ko
R00 HL123021 Systems Genetics Analysis of Gene-by-Environment Interactions in Obesity UNIVERSITY OF WISCONSIN MADISON Brian Wesley Parks
T32 GM067553 UNC Predoc Training Progr in Bioinformatics/Comp Biology: Predoctoral Training Program in Bioinformatics and Computational Biology: UNC Predoc Training Progr in Bioinformatics/Comp Biology: UNC Predoc Training Progr in Bioinformatics/Comp Biology: UNC Predoc Training Progr in Bioinformatics/Comp Biology: Predoctoral Training Program in Bioinformatics and Computational Biology: UNC Predoc Training Progr in Bioinformatics/Comp Biology: Predoctoral Training Program in Bioinformatics and Computational Biology: Predoctoral Training Program in Bioinformatics and Computational Biology: Predoctoral Training Program in Bioinformatics and Computational Biology: Predoctoral Training Program in Bioinformatics and Computational Biology: Predoctoral Training Program in Bioinformatics and Computational Biology: UNC Predoc Training Progr in Bioinformatics/Comp Biology UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL Tropsha
Submission date Jun 28, 2015
Last update date Mar 21, 2019
Contact name Calvin Pan
Organization name UCLA
Street address 675 Charles Young Dr South
City Los Angeles
ZIP/Postal code 90095
Country USA
 
Platforms (1)
GPL13667 [HG-U219] Affymetrix Human Genome U219 Array
Samples (770)
GSM1724275 369
GSM1724276 377
GSM1724277 378
Relations
BioProject PRJNA288401

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE70353_RAW.tar 2.6 Gb (http)(custom) TAR (of CEL)
Processed data included within Sample table

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap