Futema, M; Bird, M; Haeger, A; Pinder, E; O’Rourke, A; Behr, ER; Humphries, SE
(2026)
Frequency of familial hypercholesterolaemia-causing genetic variants in the 100 000 Genomes Project cohort: whole genome sequencing analyses of 77 260 participants.
Journal of Medical Genetics.
jmg-2025.
ISSN 0022-2593
https://doi.org/10.1136/jmg-2025-111201
SGUL Authors: Futema, Marta Behr, Elijah Raphael
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Abstract
Background Heterozygous Familial Hypercholesterolaemia (HeFH) is caused by pathogenic variants in LDLR, APOB, APOE or PCSK9, leading to elevated low-density lipoprotein-cholesterol and increased cardiovascular risk. In the UK, HeFH affects ~1 in 288 individuals. The 100 000 Genomes Project (100KGP) generated whole genome sequencing (WGS) data from >85 000 participants recruited primarily with cancer or rare inherited disorders. We analysed WGS data to assess the prevalence and spectrum of FH-causing variants. Methods Variants in LDLR, APOB, APOE and PCSK9 were extracted from 100KGP WGS data and annotated using expert-reviewed ClinGen curation. Demographic, ancestry and linked health records were incorporated. Analyses were restricted to unrelated individuals. Results Among 54 818 unrelated participants, 167 were heterozygote for an FH-causing variant, giving a prevalence of 1:328 (95% CI 1:285 to 1:386). Prevalence was similar across ancestries, including African (1:388) and South Asian (1:276). Variant distribution was: LDLR 67%, APOB 26.5%, APOE 3.5% and PCSK9 3%. Two individuals carried two FH variants, consistent with homozygous FH. Among 22 442 genetic relatives, 77 also carried an FH variant. Of all variant carriers, 53% were female, mean age at recruitment was 41.3 years, with 43 younger than 18 years, and 54.3% had documented hypercholesterolaemia. Conclusions The prevalence and gene distribution of FH-causing variants in 100KGP are consistent with UK estimates. Differences in variant spectrum across ancestries were observed; however, FH prevalence was similar. Participants who consented to the return of actionable findings were informed, providing direct clinical benefit from genomic research.
| Item Type: | Article | |||||||||||||||
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| Additional Information: | © Author(s) (or their employer(s)) 2026. Re-use permitted under CC BY. Published by BMJ Group. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. | |||||||||||||||
| Keywords: | Cardiovascular Diseases, Genomics, Mutation | |||||||||||||||
| SGUL Research Institute / Research Centre: | Academic Structure > Cardiovascular & Genomics Research Institute Academic Structure > Cardiovascular & Genomics Research Institute > Clinical Cardiology Academic Structure > Cardiovascular & Genomics Research Institute > Experimental Cardiology |
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| Journal or Publication Title: | Journal of Medical Genetics | |||||||||||||||
| ISSN: | 0022-2593 | |||||||||||||||
| Language: | en | |||||||||||||||
| Media of Output: | Print-Electronic | |||||||||||||||
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| Publisher License: | Creative Commons: Attribution 4.0 | |||||||||||||||
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| PubMed ID: | 41667233 | |||||||||||||||
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| URI: | https://openaccess.sgul.ac.uk/id/eprint/118352 | |||||||||||||||
| Publisher's version: | https://doi.org/10.1136/jmg-2025-111201 |
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