Nature Communications · 2025 · 14 citations · 47 references
Life SciencesGeneticsMolecular GeneticsCancer GeneticsMedical GeneticsNeurogeneticsGenetic DisordersGenetic SusceptibilityGermline Cancer PredispositionGermline Cancer SusceptibilityHereditary Cancer SyndromesNeurogenetic DisordersCancer Risk AssessmentDisease AssociationsDisease-causing VariantsHereditary Cancer RiskIncomplete PenetranceLoss-of-function VariantsNeurofibromatosis Type 1Phenotypic Penetrance
Loss of function variants in the NF1 gene cause neurofibromatosis type 1, a genetic disorder characterized by complete penetrance, characteristic physical exam findings, and a substantially increased risk for malignancy. However, our understanding of the disorder is based on patients ascertained through phenotype-first approaches, which estimate prevalence at 1 in 3000. Leveraging a genotype-first approach in multiple large patient cohorts including over one million individuals, we demonstrate an unexpectedly high prevalence (1 in 1,286) of NF1 pathogenic variants. Half are identified in individuals lacking clinical features of NF1, with many appearing to have post-zygotic mosaicism for the identified variant. Incidentally discovered variants are not associated with classic neurofibromatosis features but are associated with an increased incidence of malignancy compared to control populations. Our findings suggest that NF1 pathogenic variants are substantially more common than previously thought, often characterized by somatic mosaicism and reduced penetrance, and are important contributors to cancer risk in the general population. Our current understanding of neurofibromatosis type 1 (NF1) is based on patients ascertained through phenotype-first approaches, which estimate a low prevalence at 1 in 3,000. Here, the authors leverage a genotype-first approach in multiple large patient cohorts to demonstrate an unexpectedly high prevalence (1 in 1,286) of NF1 pathogenic variants with distinct disease associations.
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Sue Richards, Nazneen Aziz, Sherri J. Bale et al. · Genetics in Medicine · 2015 · 32.2K citations · Full text
The UK Biobank resource with deep phenotyping and genomic data
Clare Bycroft, Colin Freeman, Desislava Petkova et al. · Nature · 2018 · 9.7K citations · Full text
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William McLaren, Laurent Gil, Sarah Hunt et al. · Genome biology · 2016 · 8.7K citations · Full text