Evidence map›Paper›PMID 35773277›Full record

ArticleNature communications2022

Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depots.

Saaket Agrawal, Minxian Wang, Marcus D R Klarqvist, Kirk Smith, Joseph Shin, Hesam Dashti, Nathaniel Diamant, Seung Hoan Choi, Sean J Jurgens, Patrick T Ellinor and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 3 pooled it
23.6field-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

93 citing papers in PubMed, 3 syntheses or guidelines pooled it, 149 citations in OpenAlex.

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  10. PMOS in black girls and women: from high to low risk.Journal of endocrinological investigation · 2026
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33 more citing papers are in PubMed but not listed here.

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

16 authors at 2 institutions in 3 countries.

Saaket Agrawal *Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-2535-4759
Minxian Wang *Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-3753-508X
Marcus D R KlarqvistData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-7630-2708
Kirk SmithProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Joseph ShinProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Hesam DashtiProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nathaniel DiamantData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-1738-304X
Seung Hoan ChoiProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-2797-3190
Sean J JurgensProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-1605-9782
Patrick T EllinorProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Anthony PhilippakisData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Melina ClaussnitzerProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Kenney NgCenter for Computational Health, IBM Research, Cambridge, MA, USA.
Miriam S UdlerProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-3824-9162
Puneet BatraData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-6822-0593
Amit V KheraProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA. avkhera@mgh.harvard.edu.ORCID 0000-0001-6535-5839
Broad Institute · USComputational Physics (United States) · US

Funding

Enabling improved applicability and transferability of polygenic scores across populationsU01HG011719 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Alicia Martin · 2021 to 2026
$5.5M
Polygenic prediction of common, complex diseasesK08HG010155 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI KHERA, AMIT VIKRAM · 2018 to 2021
$1.1M
Clinical Implications of Genetically Defined Diabetes Subtypes and Application to Electronic Health Medical Record SystemsK23DK114551 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI UDLER, MIRIAM SARGON · 2017 to 2021
$1000k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHGRI NIH HHS K08 HG010155NHGRI NIH HHS U01 HG011719NIDDK NIH HHS K23 DK114551
6 · The paper itself

Abstract

For any given level of overall adiposity, individuals vary considerably in fat distribution. The inherited basis of fat distribution in the general population is not fully understood. Here, we study up to 38,965 UK Biobank participants with MRI-derived visceral (VAT), abdominal subcutaneous (ASAT), and gluteofemoral (GFAT) adipose tissue volumes. Because these fat depot volumes are highly correlated with BMI, we additionally study six local adiposity traits: VAT adjusted for BMI and height (VATadj), ASATadj, GFATadj, VAT/ASAT, VAT/GFAT, and ASAT/GFAT. We identify 250 independent common variants (39 newly-identified) associated with at least one trait, with many associations more pronounced in female participants. Rare variant association studies extend prior evidence for PDE3B as an important modulator of fat distribution. Local adiposity traits (1) highlight depot-specific genetic architecture and (2) enable construction of depot-specific polygenic scores that have divergent associations with type 2 diabetes and coronary artery disease. These results - using MRI-derived, BMI-independent measures of local adiposity - confirm fat distribution as a highly heritable trait with important implications for cardiometabolic health outcomes.

Indexed as

Diabetes Mellitus, Type 2Intra-Abdominal FatAdipose TissueAdiposityBody Mass IndexFemaleHumansObesitySubcutaneous Fat

Identifiers

PMID35773277
PMCPMC9247093
OpenAlexW4283723045

What OpenQuestion holds

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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.