medRxivGenetic & Genomic MedicinePreprint
Young people with obesity and rare disease - genotypes, phenotypes and healthcare use
Abstract
Obesity is a significant public health concern. Early-onset obesity in the context of rare disease can reflect genetically-mediated pathology or elevated susceptibility through indirect mechanisms. Mapping the diverse characteristics and needs of young people with obesity in the rare disease population is a first step toward mechanistic and translational research. We carried out a retrospective comparative analysis of demographic, genotypic, phenotypic and health service utilisation data for young people with obesity (cases: n=500) and without obesity (controls: n=11,444) from the UK 100,000 Genomes Project rare disease cohort. Cases and controls were recruited prior to genomic diagnosis, across clinical disorder categories. We observed significant association between socioeconomic deprivation and obesity risk. Young people with obesity had significantly higher utilisations of acute care and mental health services, indicating an overall higher health burden. A curated panel of 519 candidate obesity-associated genes demonstrated aggregate association with obesity, although no single gene reached significance. Phenotypic comparison between cases and controls highlighted increased multi-organ and neurological system involvement, highlighting the overlap between neurodevelopmental and obesity risks. Within the case group, we conducted cluster analysis to identify early-onset obesity groups with different phenotypic profiles, potentially arising from different causal pathways - this identified six obesity subgroups of interest, with differing involvement of neurodevelopmental and other systems. Our study confirms that obesity co-occurs with a wide range of factors within the rare disease population, and is associated with significant physical and mental health needs, requiring holistic lifelong care.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Severe obesity may be an oligogenic condition: evidence from 1,714 adults seeking treatment in the UK National Health Service
Sumaya Almansoori, Hasnat A Amin, … Alexandra I. F. Blakemore·medRxiv·Aug 4, 2023
- Genetic Variant Burden Rises with BMI: Insights from Rare and Low-Frequency Variants in Obesity
Sumi Elsa John, Arshad Channanath, … Alphonse Thanaraj Thangavel·medRxiv·Oct 11, 2026
- Discovery of novel obesity genes through cross-ancestry analysis
Deepro Banerjee, Santhosh Girirajan·medRxiv·Oct 13, 2024
- Genome-wide association study provides novel insight into the genetic architecture of severe obesity.
Mohanraj Krishnan, Mohammad Yaser Anwar, … Mariaelisa Graff·PLoS GeneticsPeer-reviewed·Sep 12, 2025
- Detecting Monogenic Obesity: A Systematic Exome-Wide Workup of Over 500 Individuals
Robert Künzel, Helene Faust, … Diana Le Duc·International Journal of ObesityPeer-reviewed·Jun 16, 2025
- Evidence that low socioeconomic position accentuates genetic susceptibility to obesity
Jessica Tyrrell, Andrew R Wood, … Timothy M Frayling·bioRxiv·Sep 13, 2016