Helmholtz Gemeinschaft

Search
Browse
Statistics
Feeds

Identification of novel genes whose expression in adipose tissue affects body fat mass and distribution: an RNA-Seq and Mendelian Randomization study

[thumbnail of Original Article]
Preview
PDF (Original Article) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
607kB
[thumbnail of Supplementary Information] Other (Supplementary Information)
435kB

Item Type:Article
Title:Identification of novel genes whose expression in adipose tissue affects body fat mass and distribution: an RNA-Seq and Mendelian Randomization study
Creators Name:Konigorski, S., Janke, J., Patone, G., Bergmann, M.M., Lippert, C., Hübner, N., Kaaks, R., Boeing, H. and Pischon, T.
Abstract:Many studies have shown that abdominal adiposity is more strongly related to health risks than peripheral adiposity. However, the underlying pathways are still poorly understood. In this cross-sectional study using data from RNA-sequencing experiments and whole-body MRI scans of 200 participants in the EPIC-Potsdam cohort, our aim was to identify novel genes whose gene expression in subcutaneous adipose tissue has an effect on body fat mass (BFM) and body fat distribution (BFD). The analysis identified 625 genes associated with adiposity, of which 531 encode a known protein and 487 are novel candidate genes for obesity. Enrichment analyses indicated that BFM-associated genes were characterized by their higher than expected involvement in cellular, regulatory and immune system processes, and BFD-associated genes by their involvement in cellular, metabolic, and regulatory processes. Mendelian Randomization analyses suggested that the gene expression of 69 genes was causally related to BFM and BFD. Six genes were replicated in UK Biobank. In this study, we identified novel genes for BFM and BFD that are BFM- and BFD-specific, involved in different molecular processes, and whose up-/downregulated gene expression may causally contribute to obesity.
Keywords:Gene Expression, Genetic Association Study, High-Throughput Screening
Source:European Journal of Human Genetics
ISSN:1018-4813
Publisher:Nature Publishing Group
Volume:32
Number:9
Page Range:1127-1135
Date:September 2022
Additional Information:Erratum in: Eur J Hum Genet (2022). https://doi.org/10.1038/s41431-022-01183-x
Official Publication:https://doi.org/10.1038/s41431-022-01161-3
PubMed:View item in PubMed

Repository Staff Only: item control page

Downloads

Downloads per month over past year

Open Access
MDC Library