Evidence map›Paper›PMID 36402844›Full record

ArticleCommunications biology2022

The link between liver fat and cardiometabolic diseases is highlighted by genome-wide association study of MRI-derived measures of body composition.

Dennis van der Meer, Tiril P Gurholt, Ida E Sønderby, Alexey A Shadrin, Guy Hindley, Zillur Rahman, Ann-Marie G de Lange, Oleksandr Frei, Olof D Leinhard, Jennifer Linge and 8 more

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Mapping the genetically predicted associations between lower-extremity muscle traits and spinal diseases.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Contextualizing molecular and structural aging across human organs.medRxiv : the preprint server for health sciences · 2025
    Article
  12. Review
  13. Review
  14. Article
  15. Observational
  16. Article
  17. Article
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

18 authors.

Dennis van der MeerNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway. d.v.d.meer@medisin.uio.no.ORCID 0000-0002-0466-386X
Tiril P GurholtNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-1272-7616
Ida E SønderbyNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0001-7297-7855
Alexey A ShadrinNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Guy HindleyNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0003-1666-4701
Zillur RahmanNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Ann-Marie G de LangeNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Oleksandr FreiNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Olof D LeinhardAMRA Medical, Linköping, Sweden.
Jennifer LingeAMRA Medical, Linköping, Sweden.
Rozalyn SimonDivision of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Dani BeckNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Lars T WestlyeNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0001-8644-956X
Sigrun HalvorsenDepartment of Cardiology, Oslo University Hospital Ullevål, and University of Oslo, Oslo, Norway.ORCID 0000-0001-7561-7644
Anders M DaleCenter for Multimodal Imaging and Genetics, University of California at San Diego, La Jolla, CA, 92037, USA.ORCID 0000-0002-6126-2966
Tom H KarlsenDepartment of Transplantation Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital Rikshospitalet, Oslo, Norway.ORCID 0000-0002-8289-9931
Tobias KaufmannNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-4003-1018
Ole A AndreassenNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-4461-3568

Funding

Identifying the Polygenic Basis of the Human Brain and Psychiatric DisordersR01MH100351 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, CHI-HUA · 2013 to 2017
$2.1M
Polygenicity, Pleiotrophy and Power: Novel Statistical Methods for Gene DiscoveryR01GM104400 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI THOMPSON, WESLEY KURT · 2014 to 2017
$1.6M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIGMS NIH HHS R01 GM104400NIMH NIH HHS R01 MH100351
6 · The paper itself

Abstract

Obesity and associated morbidities, metabolic associated fatty liver disease (MAFLD) included, constitute some of the largest public health threats worldwide. Body composition and related risk factors are known to be heritable and identification of their genetic determinants may aid in the development of better prevention and treatment strategies. Recently, large-scale whole-body MRI data has become available, providing more specific measures of body composition than anthropometrics such as body mass index. Here, we aimed to elucidate the genetic architecture of body composition, by conducting genome-wide association studies (GWAS) of these MRI-derived measures. We ran both univariate and multivariate GWAS on fourteen MRI-derived measurements of adipose and muscle tissue distribution, derived from scans from 33,588 White European UK Biobank participants (mean age of 64.5 years, 51.4% female). Through multivariate analysis, we discovered 100 loci with distributed effects across the body composition measures and 241 significant genes primarily involved in immune system functioning. Liver fat stood out, with a highly discoverable and oligogenic architecture and the strongest genetic associations. Comparison with 21 common cardiometabolic traits revealed both shared and specific genetic influences, with higher mean heritability for the MRI measures (h

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Body CompositionFemaleGenome-Wide Association StudyHumansLiverMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID36402844
PMCPMC9675774

What OpenQuestion holds

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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.