Evidence map›Paper›PMID 37326626›Full record

ArticleeLife2023

Predicting mechanisms of action at genetic loci associated with discordant effects on type 2 diabetes and abdominal fat accumulation.

Yonathan Tamrat Aberra, Lijiang Ma, Johan L M Björkegren, Mete Civelek

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Yonathan Tamrat AberraDepartment of Biomedical Engineering, University of Virginia, Charlottesville, United States.ORCID 0000-0002-6055-2291
Lijiang MaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States.
Johan L M BjörkegrenDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States.
Mete CivelekDepartment of Biomedical Engineering, University of Virginia, Charlottesville, United States.ORCID 0000-0002-8141-0284
Office of Public Health Genomics · USIcahn School of Medicine at Mount Sinai · USKarolinska Institutet · SE

Funding

BASIC CARDIOVASCULAR RESEARCH TRAINING GRANTT32HL007284 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Brant E Isakson, Gary K Owens · 1985 to 2026
$19.6M
The role of adipocyte KLF14 in Metabolic SyndromeR01DK118287 · NIDDK · UNIVERSITY OF VIRGINIA · PI CIVELEK, METE · 2018 to 2022
$2.4M
NHLBI NIH HHS 2T32HL007284-46NHLBI NIH HHS T32 HL007284NIDDK NIH HHS R01 DK118287
6 · The paper itself

Abstract

Obesity is a major risk factor for cardiovascular disease, stroke, and type 2 diabetes (T2D). Excessive accumulation of fat in the abdomen further increases T2D risk. Abdominal obesity is measured by calculating the ratio of waist-to-hip circumference adjusted for the body-mass index (WHRadjBMI), a trait with a significant genetic inheritance. Genetic loci associated with WHRadjBMI identified in genome-wide association studies are predicted to act through adipose tissues, but many of the exact molecular mechanisms underlying fat distribution and its consequences for T2D risk are poorly understood. Further, mechanisms that uncouple the genetic inheritance of abdominal obesity from T2D risk have not yet been described. Here we utilize multi-omic data to predict mechanisms of action at loci associated with discordant effects on abdominal obesity and T2D risk. We find six genetic signals in five loci associated with protection from T2D but also with increased abdominal obesity. We predict the tissues of action at these discordant loci and the likely effector Genes (eGenes) at three discordant loci, from which we predict significant involvement of adipose biology. We then evaluate the relationship between adipose gene expression of eGenes with adipogenesis, obesity, and diabetic physiological phenotypes. By integrating these analyses with prior literature, we propose models that resolve the discordant associations at two of the five loci. While experimental validation is required to validate predictions, these hypotheses provide potential mechanisms underlying T2D risk stratification within abdominal obesity.

Indexed as

Diabetes Mellitus, Type 2Abdominal FatGenetic LociGenome-Wide Association StudyHumansObesityObesity, Abdominalbody fat distributioncomputational biologyfunctional genomicshumanmetabolically healthy obesitystatistical geneticssystems biologytype 2 diabetes

Identifiers

PMID37326626
PMCPMC10275637
OpenAlexW4380869784

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Registered trials

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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.