Eva Aumuller
Austria
Research Article
Integration and Weighing of Omics Data for Obesity
Author(s): Caroline Brettfeld, Ales Maver, Eva Aumuller, Borut Peterlin and Alexander G HaslbergerCaroline Brettfeld, Ales Maver, Eva Aumuller, Borut Peterlin and Alexander G Haslberger
Objective: OMICs research has become of great interest over the last years and enabled the research community to acquisition an increasing amount of data. In a prior study by our group, we have employed a novel positional integrative approach. For this second study we utilized the same integration method but weighed each individual data source trying to verify our already found regions and/or identify new gene regions of interest for obesity.
Method: In contrast to previous methodologies employed for integration of heterogeneous OMIC data, we based the integration on genomic positions of alterations in human disease and employed an additional weighing step.A data search for various types of studies on Obesity (genome-wide association, meta-analysis, transcriptomic,proteomic studies and epigenetic studies) was conducted to establish the initial data set. For thi.. View More»
