Other,Multiomics

Dataset Information

1K

OCDEM


ABSTRACT: Organisation EGAO00000000125

PROVIDER: EGAO00000000125 | EGA |

REPOSITORIES: EGA

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Publications


Metabolic Syndrome (MetS) is highly prevalent and has considerable public health impact, but its underlying genetic factors remain elusive. To identify gene networks involved in MetS, we conducted whole-genome expression and genotype profiling on abdominal (ABD) and gluteal (GLU) adipose tissue, and whole blood (WB), from 29 MetS cases and 44 controls. Co-expression network analysis for each tissue independently identified nine, six, and zero MetS-associated modules of coexpressed genes in ABD,  ...[more]

Publication: 1/2

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