Evidence map›Paper›PMID 35953519›Full record

ArticleEuropean journal of human genetics : EJHG2024

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

Stefan Konigorski, Jürgen Janke, Giannino Patone, Manuela M Bergmann, Christoph Lippert, Norbert Hübner, Rudolf Kaaks, Heiner Boeing, Tobias Pischon

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Integrated Genomic and Transcriptomic Study RevealsCirculation. Genomic and precision medicine · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Genomic technologies identify milder presentations of Mendelian disease.European journal of human genetics : EJHG · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Stefan KonigorskiDigital Health & Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany. stefan.konigorski@hpi.de.ORCID 0000-0002-9966-6819
Jürgen JankeMolecular Epidemiology Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Giannino PatoneGenetics and Genomics of Cardiovascular Diseases Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Manuela M BergmannGerman Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany.
Christoph LippertDigital Health & Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.ORCID 0000-0001-6363-2556
Norbert HübnerGenetics and Genomics of Cardiovascular Diseases Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Rudolf KaaksDepartment of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Heiner BoeingGerman Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany.
Tobias PischonMolecular Epidemiology Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany. tobias.pischon@mdc-berlin.de.ORCID 0000-0003-1568-767X
Max Delbrück Center · DEGerman Institute of Human Nutrition · DEHasso Plattner Institute · DEGerman Cancer Research Center · DE

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

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.

Indexed as

Mendelian Randomization AnalysisAdipose TissueAdiposityAdultAgedBody Fat DistributionFemaleHumansMaleMiddle AgedObesityRNA-SeqSubcutaneous FatTranscriptome

Identifiers

PMID35953519
PMCPMC11369295
OpenAlexW4291015596

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.