Evidence map›Paper›PMID 42001615›Full record

Observational studyEBioMedicine2026

Genotype-first approach reveals monogenic lipodystrophy is underdiagnosed, with health and mortality risks.

Luke N Sharp, Kevin Colclough, Jacques Murray Leech, Amy V Evans, Andrew T Hattersley, Michael N Weedon, Rebecca J Brown, Kashyap A Patel

Abstract readObservational Study
In one paragraph

Observational study in EBioMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Luke N SharpDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Kevin ColcloughDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK; Exeter Genomic Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK.
Jacques Murray LeechDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Amy V EvansCentre for Endocrinology, Barts and The London School of Medicine, Queen Mary University of London, London, UK.
Andrew T HattersleyDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Michael N WeedonDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Rebecca J BrownNational Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Health, Bethesda, USA.
Kashyap A PatelDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK. Electronic address: K.a.patel@exeter.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonogenic lipodystrophy is a metabolic disorder that predisposes to diabetes and cardiovascular disease, yet its true prevalence and clinical spectrum remain uncertain. We used a genotype-first approach with an aim to estimate the prevalence, phenotypic spectrum, risk of cardiometabolic disorders and all-cause mortality associated with monogenic lipodystrophy in the population. We also assessed how these clinically unselected cases differ from clinically identified cases.

methodsWe analysed whole-genome sequencing data from 490,414 UK Biobank participants to identify pathogenic variants in 23 lipodystrophy genes. Individuals carrying a pathogenic genotype were compared with non-carriers for anthropometric traits, metabolic biomarkers, cardiometabolic outcomes, and all-cause mortality. We also compared UK Biobank cases with a clinically identified cohort of 58 individuals with monogenic lipodystrophy.

findingsWe identified 31 carriers of pathogenic monogenic lipodystrophy variants, giving a prevalence of 1 in 15,820 (95% CI: 1 in 23,282-1 in 11,145). Variants in PPARG and LMNA were most frequent, and prevalence did not differ by sex (P = 0.37). Compared with non-carriers, carriers had similar BMI but lower total body fat percentage (24.7% vs. 31.4%, P = 1.25 × 10

interpretationMonogenic lipodystrophy is more common than currently recognised and most cases remain undiagnosed despite significant cardiometabolic and mortality risks. These findings highlight the value of genotype-first approaches in studying lipodystrophy and support the need for earlier recognition and treatment in clinical practice.

fundingThis work is funded by Diabetes UK (19/0005994 and 21/0006335), the MRC (MR/T00200X/1) and the Wellcome Trust (219606/Z/19/Z).

Indexed as

Genetic Predisposition to DiseaseGenotypeLipodystrophyAdultAgedFemaleFollow-Up StudiesGenetic VariationHumansMaleMiddle AgedPhenotypePrevalenceRisk FactorsUK BiobankUnited KingdomGeneticsLipodystrophyMonogenic diabetes

Identifiers

PMID42001615
PMCPMC13098338

What OpenQuestion holds

Textmetadata
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.