Evidence map›Paper›PMID 41420254›Full record

ArticleHuman genomics2025

Severe obesity as an oligogenic condition: evidence from 1714 adults seeking treatment in the UK National Health Service.

Sumaya Almansoori, Hasnat A Amin, Suzanne I Alsters, Dale Handley, Andrianos M Yiorkas, Nikman Adli Nor Hashim, Nurul Hanis Ramzi, Gianluca Bonanomi, Peter Small, Sanjay Purkayastha and 6 more

Abstract read
In one paragraph

Article in Human genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Sumaya AlmansooriDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK. s.almansoori15@imperial.ac.uk.
Hasnat A AminDepartment of Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, London, UK.
Suzanne I AlstersSouth West Thames Regional Genetics Service, St George's University Hospitals NHS Foundation Trust, London, UK.
Dale HandleyDepartment of Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, London, UK.
Andrianos M YiorkasDepartment of Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, London, UK.
Nikman Adli Nor HashimInstitute of Biological Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur, 50603, Malaysia.
Nurul Hanis RamziInstitute for Research, Development and Innovation (IRDI), IMU University, Kuala Lumpur, 57000, Malaysia.
Gianluca BonanomiUGI & Bariatric Surgery, Foundation Tr, Chelsea and Westminster Hospital, 369 Fulham Road, London, SW10 9NH, UK.
Peter SmallGeneral Surgery, City Hospitals Sunderland NHS Foundation Trust Department, Kayll Rd, Sunderland, SR4 7TP, UK.
Sanjay PurkayasthaDepartment of Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, London, UK.
Mieke van HaelstSection of Clinical Genetics, Department of Human Genetics, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
Robin G WaltersNuffield Department of Population Health, University of Oxford, Oxford, UK.
Carel W le RouxDiabetes Complications Research Centre, Conway Institute, University College Dublin, Dublin, Republic of Ireland.
Harvinder S ChahalImperial College Healthcare NHS Trust, St. Mary's Hospital, London, UK.
Fotios DrenosDepartment of Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, London, UK.
Alexandra If BlakemoreDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous evidence has established genetics as an important contributing factor to severe (class III) obesity, which is a chronic, relapsing condition, with a high burden of comorbidity and mortality. We therefore designed a custom genotyping array to screen a cohort of UK patients seeking treatment for severe obesity in a cost-effective way. A total of 1,714 participants were genotyped using a custom AXIOM array, focusing on rare (minor allele frequency < 0.01) variants, with CADD-PHRED ≥ 15 in 78 genes known/suspected to cause Mendelian forms of obesity. Concordance analyses of 22 duplicate samples and 66 samples with whole exome sequence data revealed good genotyping reliability. We identified the proportion of study participants who carried, or were homozygous for, rare, predicted-deleterious variants in genes with dominant and recessive modes of inheritance (MOI), respectively. 27% of patients carried relevant mutations consistent with the expected MOI, which was very similar to the rate observed in the UKB 50 K whole exome sequencing dataset. However, the clinical obesity cohort was more likely to carry two or more such variants, in separate genes, than UK Biobank participants (17.1% vs. 13%, p = 0 0.018), which strongly indicates the possibility of oligogenic inheritance. In conclusion, our results provide evidence: that (i) custom genotyping arrays, used with improved algorithms can allow reliable, cost-effective screening for rare genetic variants; (ii) rare mutations in “obesity genes” may be at high prevalence among bariatric patients, as well as in the general population; and (iii) that severe obesity may have an oligogenic pattern of inheritance in some cases.

Indexed as

Obesity, MorbidAdultExome SequencingFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedMutationUnited Kingdom

Identifiers

PMID41420254
PMCPMC12849414

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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.