EClinicalMedicineGenetic & Genomic MedicinePeer-reviewed journal article
Influence of family history on penetrance of hereditary cancers in a population setting
Leigh M. JacksoniD, Michael N. WeedoniD, Harry GreeniD, Bethan Mallabar-RimmeriD, Jamie HarrisoniD, Andy R. Wood, Kate RuthiD, Jessica TyrrelliD, Caroline Fiona WrightiD
Abstract
BackgroundWe sought to investigate how penetrance of familial cancer syndromes varies with family history using a population-based cohort. MethodsWe analysed 454,712 UK Biobank participants with exome sequence and clinical data. We identified participants with a self-reported family history of breast or colorectal cancer and a pathogenic/likely pathogenic variant in the major genes responsible for hereditary breast cancer or Lynch syndrome. We calculated survival to cancer diagnosis (controlled for age, sex, death, recruitment centre, screening and prophylactic surgery). ResultsWomen with a pathogenic BRCA1 or BRCA2 variant had an increased risk of breast cancer that was significantly higher in those with a first-degree family history (relative hazard 10.29 and 7.82, respectively) than those without (7.82 and 4.66). Penetrance to age 60 was also higher in those with a family history (44.7% and 24.1%) versus those without (22.8% and 17.9%). A similar pattern was seen in Lynch syndrome: individuals with a pathogenic MLH1, MSH2 or MSH6 variant had an increased risk of bowel cancer that was significantly higher in those with a family history (relative hazard 63.7, 68.4 and 12.1) than those without (20.9, 18.6 and 5.9). Penetrance to age 60 was also higher for carriers of a pathogenic MLH1 or MSH2 variant in those with a family history (27.1% and 25.2%) versus those without (15.2% and 3.2%). ConclusionsIndividuals with pathogenic cancer syndrome variants are at significantly less elevated risk of cancer in the absence of family history (risk ratio 0.57), so invasive follow-up may be unwarranted.
- organism: human
- assay: whole-exome sequencing
- research focus: differential expression
- approach: statistical model
- Citations
- 52
- FWCI
- 8.46
- Field percentile
- top 1%
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
- Estimating cancer risk in carriers of Lynch syndrome variants in UK Biobank
Eilidh Fummey, Pau Navarro, … Albert Tenesa·Journal of Medical GeneticsPeer-reviewed·Jul 14, 2024
- Breast and prostate cancer risk: the interplay of polygenic risk, high-impact monogenic variants, and family history
Emadeldin Hassanin, Patrick May, … Carlo Maj·Genetics in MedicinePeer-reviewed·Nov 29, 2021
- Segregation analysis of 17,425 population-based breast cancer families: evidence for genetic susceptibility and risk prediction
Shuai Li, Robert J. MacInnis, … Antonis C. Antoniou·The American Journal of Human GeneticsPeer-reviewed·Oct 1, 2022
- Diverse mediators of cancer predisposition uncovered by germline whole genome sequencing of unexplained familial cancers
Noah Fields, Seunghun Han, … Eliezer M. Van Allen·medRxiv·May 13, 2026
- Cancer risks for MSH6 pathogenic variant carriers
A.S. van der Werf – ‘t Lam, James G. Dowty, … Maartje Nielsen·medRxiv·Feb 15, 2025
- Exome Sequencing Reveals a High Prevalence of BRCA1 and BRCA2 Founder Variants in a Diverse Population-Based Biobank
Noura S. Abul‐Husn, Emily R. Soper, … Eimear E. Kenny·Genome MedicinePeer-reviewed·Dec 31, 2019