NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE61271 Query DataSets for GSE61271
Status Public on Jan 15, 2015
Title RNA-Sequencing of lean, intermediate, and obese pigs
Organism Sus scrofa
Experiment type Expression profiling by high throughput sequencing
Summary We sequenced mRNA from subcuteneous adipose tissue of 36 pigs (12 Low, 12 Mean and 12 High) to investigate expression profiling of obesity (porcine model). Uploaded RNAseq data on the first 12 samples (from titles 1_SusScrofa to 12_SusScrofa) are LOW obese pigs, the middle 12 samples (from titles 13_SusScrofa to 24_SusScrofa) are MEDIUM obese pigs and the last 12 samples (from titles 24_SusScrofa to 36_SusScrofa) are HIGH obese pigs. These 3 categories based on an aggregate Obesity Index (OI) values and calculated using a multi-trait Estimated Breeding Value (EBV) and Selection Index methods combining nine obesity and obesity-related (OOR) phenotypes into a single value representative of the genetic predisposition to obesity. in Human studies, this is somewhat equivalent to combined multi-trait, weighted Polygenic Risk Scores (PRS) for obesity. That is, they are predicted based on genetic / genomic information and several correlated phenotypes using Mixed Models / BLUP. For more information on Obesity Index, refer to Frontiers in Genetics (2014), Sec. Systems Biology, Vol. 5. https://doi.org/10.3389/fgene.2014.00214
 
Overall design Examination of mRNA levels in different "genetically" categorized obese states in a porcine model for human obesity
 
Contributor(s) Kadarmideen HN, Kogelman LJ
Citation(s) 25270054, 26482556
Submission date Sep 09, 2014
Last update date Jul 15, 2024
Contact name Haja N Kadarmideen
E-mail(s) hajak@dtu.dk
Organization name Technical University of Denmark
Department Department of Applied Mathematics and Computer Science
Lab Quantitative Genomics, Bioinformatics & Computational Biology (QBC) Group
Street address Richard Petersens Plads, Building 324
City Kongens Lyngby
ZIP/Postal code 2800
Country Denmark
 
Platforms (1)
GPL19176 Illumina HiSeq 2500 (Sus scrofa)
Samples (36)
GSM1501205 1_SusScrofa
GSM1501206 2_SusScrofa
GSM1501207 3_SusScrofa
Relations
BioProject PRJNA260632
SRA SRP046752

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
GSE61271_normalizeddata.csv.gz 1.5 Mb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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