EGAS00001000212-sc-20120201 - samples
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ABSTRACT:
PROVIDER: EGAD00001000105 | EGA |
REPOSITORIES: EGA
Publications
Extent, causes, and consequences of small RNA expression variation in human adipose tissue.
Parts Leopold L Hedman Åsa K ÅK Keildson Sarah S Knights Andrew J AJ Abreu-Goodger Cei C van de Bunt Martijn M Guerra-Assunção José Afonso JA Bartonicek Nenad N van Dongen Stijn S Mägi Reedik R Nisbet James J Barrett Amy A Rantalainen Mattias M Nica Alexandra C AC Quail Michael A MA Small Kerrin S KS Glass Daniel D Enright Anton J AJ Winn John J Deloukas Panos P Dermitzakis Emmanouil T ET McCarthy Mark I MI Spector Timothy D TD Durbin Richard R Lindgren Cecilia M CM
PLoS genetics 20120510 5
Small RNAs are functional molecules that modulate mRNA transcripts and have been implicated in the aetiology of several common diseases. However, little is known about the extent of their variability within the human population. Here, we characterise the extent, causes, and effects of naturally occurring variation in expression and sequence of small RNAs from adipose tissue in relation to genotype, gene expression, and metabolic traits in the MuTHER reference cohort. We profiled the expression o ...[more]
Similar Datasets
Project description:We investigate the naturally occurring variation of small RNA expression in conjunction with genetic and gene expression variation. We shall assess the variation in subabdominal fat tissue small RNA levels in 168 unrelated MuTHER individuals. Using gene expression data from the same samples, we can survey how much the small RNA expression contributes to the variance in gene expression profiles. We can also take advantage of the high density genotyping data on these samples to identify genetic associations of small RNA expression levels, and the downstream effect of the genetic variants in small RNA sequence. Previous small RNA sequencing efforts have also extended the repertoire of small RNAs, and we hope to potentially find additional small RNAs active in adipose tissue biology. Altogether, the project should provide an exciting view into small RNA biology in humans, and lead to development of new methodology for analysis of molecular phenotype data.
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