Genetic and lifestyle modifiers of haemochromatosis-related clinical outcomes in HFE C282Y homozygotes

<h2>Abstract</h2><h3>Background & Aims</h3> The iron overload disease haemochromatosis is primarily caused by <i>HFE</i> p.C282Y homozygosity, yet penetrance of clinical outcomes (including liver disease/cancer) varies. We aimed to estimate the effect of genetic and lifestyle factors on disease penetrance and expressivity in <i>HFE</i> C282Y homozygotes. <h3>Methods</h3> We analysed 2,893 C282Y homozygous UK Biobank participants (n=1,295 male). We ascertained haemochromatosis from medical records, liver disease/cancer, osteoarthritis, joint replacement surgeries, and dementia diagnoses. We derived polygenic scores (PGS) for iron biomarkers including hepcidin and transferrin saturation (TSAT). Sex-stratified logistic regression assessed associations with clinical outcomes. We used time-to-event regression estimating effects of age, lifestyle, and PGS. We estimated effects of rare <i>HFE</i> variants using whole genome sequencing data. <h3>Results</h3> In male <i>HFE</i> C282Y homozygotes, higher TSAT PGS increased likelihood of diagnosis of haemochromatosis, and separately any clinical consequence (OR<sub>top-vs-bottom-PGS-quintile</sub>=1.83, 95%CI: 1.26-2.66, p=0.001). Cumulative incidence of assessed haemochromatosis clinical outcomes in men by age 80 was 64.5% (highest quintile) versus 51.6% (lowest) (p-value for difference=0.025). In females, TSAT PGS increased haemochromatosis likelihood (cumulative incidence: 45.3% vs. 23.3% [highest/lower quintile], p=0.00001) but not liver disease. PGS for other iron biomarkers were not significantly associated with clinical outcomes. Rare heterozygous predicted loss-of-function variants in <i>HFE</i> increased haemochromatosis likelihood in non-C282Y homozygotes (aggregate-OR=14.8, 95%CI 4.7-41.1, p=0.003), highlighting the importance of sequencing undiagnosed individuals to find rare causes of haemochromatosis. <h3>Conclusion</h3> Higher genetically predicted transferrin saturation significantly increased risk of clinical outcomes in <i>HFE</i> C282Y homozygotes. Combined with modifiable lifestyle factors, genetic information could refine risk stratification and personalise iron monitoring, following validation.

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Publication Details

Journal
JHEP Reports
Published
2026-02-13
DOI
https://doi.org/10.1016/j.jhepr.2026.101781
Primary Topic
Iron Metabolism and Disorders
Type
article
Field-Weighted Citation Impact
0.00

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article

Genetic and lifestyle modifiers of haemochromatosis-related clinical outcomes in HFE C282Y homozygotes

C. David Wright, Mitchell R. Lucas, Andrew R. Wood, Janice L. Atkins et al.
JHEP Reports
Iron Metabolism and Disorders
article

Genetic and lifestyle modifiers of haemochromatosis-related clinical outcomes in HFE C282Y homozygotes

C. David Wright, Mitchell R. Lucas, Andrew R. Wood, Janice L. Atkins, João Delgado, Gareth Hawkes, Luke C. Pilling, Robin N. Beaumont, Jeremy D. Shearman
article en

Abstract

<h2>Abstract</h2><h3>Background & Aims</h3> The iron overload disease haemochromatosis is primarily caused by <i>HFE</i> p.C282Y homozygosity, yet penetrance of clinical outcomes (including liver disease/cancer) varies. We aimed to estimate the effect of genetic and lifestyle factors on disease penetrance and expressivity in <i>HFE</i> C282Y homozygotes. <h3>Methods</h3> We analysed 2,893 C282Y homozygous UK Biobank participants (n=1,295 male). We ascertained haemochromatosis from medical records, liver disease/cancer, osteoarthritis, joint replacement surgeries, and dementia diagnoses. We derived polygenic scores (PGS) for iron biomarkers including hepcidin and transferrin saturation (TSAT). Sex-stratified logistic regression assessed associations with clinical outcomes. We used time-to-event regression estimating effects of age, lifestyle, and PGS. We estimated effects of rare <i>HFE</i> variants using whole genome sequencing data. <h3>Results</h3> In male <i>HFE</i> C282Y homozygotes, higher TSAT PGS increased likelihood of diagnosis of haemochromatosis, and separately any clinical consequence (OR<sub>top-vs-bottom-PGS-quintile</sub>=1.83, 95%CI: 1.26-2.66, p=0.001). Cumulative incidence of assessed haemochromatosis clinical outcomes in men by age 80 was 64.5% (highest quintile) versus 51.6% (lowest) (p-value for difference=0.025). In females, TSAT PGS increased haemochromatosis likelihood (cumulative incidence: 45.3% vs. 23.3% [highest/lower quintile], p=0.00001) but not liver disease. PGS for other iron biomarkers were not significantly associated with clinical outcomes. Rare heterozygous predicted loss-of-function variants in <i>HFE</i> increased haemochromatosis likelihood in non-C282Y homozygotes (aggregate-OR=14.8, 95%CI 4.7-41.1, p=0.003), highlighting the importance of sequencing undiagnosed individuals to find rare causes of haemochromatosis. <h3>Conclusion</h3> Higher genetically predicted transferrin saturation significantly increased risk of clinical outcomes in <i>HFE</i> C282Y homozygotes. Combined with modifiable lifestyle factors, genetic information could refine risk stratification and personalise iron monitoring, following validation.

JHEP ReportsVol. 8(4)
University of Exeter (GB), University of Warwick (GB), South Warwickshire NHS Foundation Trust (GB)
CSL Behring, UK Research and Innovation, National Institute for Health and Care Research, Department of Health and Social Care, University of Exeter, Medical Research Council
Zero hunger
Openalex Percentile: Top 56%
Iron Metabolism and Disorders
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