Evidence map›Paper›PMID 33619380›Full record

ArticleNature metabolism2021

Genome-wide discovery of genetic loci that uncouple excess adiposity from its comorbidities.

Lam O Huang, Alexander Rauch, Eugenia Mazzaferro, Michael Preuss, Stefania Carobbio, Cigdem S Bayrak, Nathalie Chami, Zhe Wang, Ursula M Schick, Nancy Yang and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 3 pooled it
11.5field-weighted citation impact, top 1% 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

76 citing papers in PubMed, 3 syntheses or guidelines pooled it, 118 citations in OpenAlex.

  1. Pooled it
  2. Lipedema: Progress, Challenges, and the Road Ahead.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Article
  7. Integrated Genomic and Transcriptomic Study RevealsCirculation. Genomic and precision medicine · 2026
    Article
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16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 8 institutions in 4 countries.

Lam O HuangNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-7592-0942
Alexander RauchFunctional Genomics & Metabolism Research Unit, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0002-9429-7356
Eugenia MazzaferroThe Beijer Laboratory and Department of Immunology, Genetics and Pathology, Uppsala University and SciLifeLab, Uppsala, Sweden.
Michael PreussThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA.ORCID http://orcid.org/0000-0001-5266-8465
Stefania CarobbioWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.
Cigdem S BayrakThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA.ORCID http://orcid.org/0000-0002-3883-5535
Nathalie ChamiThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA.ORCID http://orcid.org/0000-0002-8547-6424
Zhe WangThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA.ORCID http://orcid.org/0000-0002-8046-4969
Ursula M SchickThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA.
Nancy YangThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA.
Yuval ItanThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA.
Antonio Vidal-PuigWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.ORCID http://orcid.org/0000-0003-4220-9577
Marcel den HoedThe Beijer Laboratory and Department of Immunology, Genetics and Pathology, Uppsala University and SciLifeLab, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-8081-428X
Susanne MandrupFunctional Genomics & Metabolism Research Unit, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0002-0961-5787
Tuomas O KilpeläinenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-8349-3028
Ruth J F LoosThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA. ruth.loos@mssm.edu.ORCID http://orcid.org/0000-0002-8532-5087
Child Health and Development Institute · USIcahn School of Medicine at Mount Sinai · USUniversity of Copenhagen · DKUppsala University · SESteno Diabetes Centers · DKUniversity of Cambridge · GBUniversity of Southern Denmark · DKWellcome Sanger Institute · GB

Funding

Resilience to obesity in carriers of monogenic obesity mutations - a study on the underlying mechanismsR01DK124097 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LOOS, RUTH JF · 2020 to 2023
$2.9M
Search for obesity-associated genes with protective effects on metabolic healthR01DK107786 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LOOS, RUTH JF · 2017 to 2020
$2.3M
Identifying population-specific IBD-associated mutations, genes and pathwaysR01DK123530 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ITAN, YUVAL · 2019 to 2021
$1.0M
British Heart Foundation RG/18/7/33636Medical Research Council MC_UU_00014/2Medical Research Council PO 4050281695NIDDK NIH HHS R01 DK107786NIDDK NIH HHS R01 DK123530NIDDK NIH HHS R01 DK124097
6 · The paper itself

Abstract

Obesity is a major risk factor for cardiometabolic diseases. Nevertheless, a substantial proportion of individuals with obesity do not suffer cardiometabolic comorbidities. The mechanisms that uncouple adiposity from its cardiometabolic complications are not fully understood. Here, we identify 62 loci of which the same allele is significantly associated with both higher adiposity and lower cardiometabolic risk. Functional analyses show that the 62 loci are enriched for genes expressed in adipose tissue, and for regulatory variants that influence nearby genes that affect adipocyte differentiation. Genes prioritized in each locus support a key role of fat distribution (FAM13A, IRS1 and PPARG) and adipocyte function (ALDH2, CCDC92, DNAH10, ESR1, FAM13A, MTOR, PIK3R1 and VEGFB). Several additional mechanisms are involved as well, such as insulin-glucose signalling (ADCY5, ARAP1, CREBBP, FAM13A, MTOR, PEPD, RAC1 and SH2B3), energy expenditure and fatty acid oxidation (IGF2BP2), browning of white adipose tissue (CSK, VEGFA, VEGFB and SLC22A3) and inflammation (SH2B3, DAGLB and ADCY9). Some of these genes may represent therapeutic targets to reduce cardiometabolic risk linked to excess adiposity.

Indexed as

Genome-Wide Association StudyAdipocytesAdipocytes, BrownAdipocytes, WhiteAdipose TissueAdiposityAllelesEnergy MetabolismFatty AcidsGenetic LociGlucoseHumansInsulinMultigene FamilyObesityRisk AssessmentFatty AcidsGlucoseInsulin

Identifiers

PMID33619380
OpenAlexW3132383992

What OpenQuestion holds

Textmetadata
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.