Evidence map›Paper›PMID 31145760›Full record

ArticlePloS one2019

Regional fat depot masses are influenced by protein-coding gene variants.

Matt J Neville, Laura B L Wittemans, Katherine E Pinnick, Marijana Todorčević, Risto Kaksonen, Kirsi H Pietiläinen, Jian'an Luan, Robert A Scott, Nicholas J Wareham, Claudia Langenberg and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

Matt J NevilleOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-6004-5433
Laura B L WittemansMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, United Kingdom.
Katherine E PinnickOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-2422-248X
Marijana TodorčevićOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-3100-8799
Risto KaksonenObesity Research Unit, Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland.
Kirsi H PietiläinenObesity Research Unit, Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland.
Jian'an LuanMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, United Kingdom.
Robert A ScottMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, United Kingdom.
Nicholas J WarehamMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, United Kingdom.ORCID 0000-0003-1422-2993
Claudia LangenbergMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, United Kingdom.
Fredrik KarpeOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
University of Cambridge · GBUniversity of Oxford · GBUniversity of Helsinki · FICentre for Human Genetics · GB

Funding

British Heart Foundation RG/17/1/32663Cancer Research UK 14136Department of HealthMedical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_PC_13046Medical Research Council MC_PC_13048Medical Research Council MC_UU_12015/1Medical Research Council MR/L00002/1Medical Research Council MR/N003284/1Wellcome TrustWellcome Trust WT083442AIA
6 · The paper itself

Abstract

Waist-to-hip ratio (WHR) is a prominent cardiometabolic risk factor that increases cardio-metabolic disease risk independently of BMI and for which multiple genetic loci have been identified. However, WHR is a relatively crude proxy for fat distribution and it does not capture all variation in fat distribution. We here present a study of the role of coding genetic variants on fat mass in 6 distinct regions of the body, based on dual-energy X-ray absorptiometry imaging on more than 17k participants. We find that the missense variant CCDC92S70C, previously associated with WHR, is associated specifically increased leg fat mass and reduced visceral but not subcutaneous central fat. The minor allele-carrying transcript of CCDC92 is constitutively more highly expressed in adipose tissue samples. In addition, we identify two coding variants in SPATA20 and UQCC1 that are associated with arm fat mass. SPATA20K422R is a low-frequency variant with a large effect on arm fat only, and UQCC1R51Q is a common variant reaching significance for arm but showing similar trends in other subcutaneous fat depots. Our findings support the notion that different fat compartments are regulated by distinct genetic factors.

Indexed as

Absorptiometry, PhotonAdipose TissueAdultBody CompositionBody Fat DistributionBody Mass IndexCardiovascular DiseasesHumansMaleMetabolic DiseasesMiddle AgedObesityRisk FactorsSubcutaneous FatWaist-Hip Ratio

Identifiers

PMID31145760
PMCPMC6542527
OpenAlexW2913147593

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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.