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Devilee, P.

Publications and source records attributed to Devilee, P..

2 recordsLinked to original sources

A novel genetic strategy to interrogate an unknown phenotypic modifier: an Sdhc KO-Robertsonian mouse with a semi-homologous chromosome develops papillary thyroid carcinoma-like tumours

SDHD and SDHAF2 pathogenic variants confer a remarkable parent-of-origin tumour risk for the neuroendocrine tumours paraganglioma and pheochromocytoma. Paternally transmitted variants cause tumours but maternally transmitted variants do not. The Hensen hypothesis asserts that loss of an (unknown) imprinted gene(s), together the remaining wildtype SDH gene, is a prerequisite for tumour formation. This study had three objectives, first, as a test of the Hensen model, second, as a potential paraganglioma model, and finally, as a test of chromosomal configuration to interrogate large genomic regions carrying an unknown phenotypic modifier. We crossed an SDH gene knockout line to a Robertsonian (Rb) chromosome line harbouring the gene imprinting centre implicated in human tumourigenesis, to create a metacentric chromosome with characteristics of human chromosome 11. Distinct phenotypes were noted in various cohorts. In heterozygote Rb mice we noted both weight gain and frequent immune activation. In Sdhc knockout mice with both heterozygous and homozygous Rb chromosomes, thyroid abnormalities, including papillary thyroid carcinoma-like tumours, were common due to apparent synergy between the Sdhc KO and the Rb chromosome. We also found a single case of bilateral pheochromocytoma in which loss of Sdhc was not the driver. Although few studies of Robertsonian chromosomes in the mouse have addressed pathology or phenotype, this study suggests that chromosomal structure can dramatically impact clinical phenotype.

cancer biology↗

Rare copy number variants (CNVs) and breast cancer risk

BackgroundCopy number variants (CNVs) are pervasive in the human genome but potential disease associations with rare CNVs have not been comprehensively assessed in large datasets. We analysed rare CNVs in genes and non-coding regions for 86,788 breast cancer cases and 76,122 controls of European ancestry with genome-wide array data. ResultsGene burden tests detected the strongest association for deletions in BRCA1 (P= 3.7E-18). Nine other genes were associated with a p-value < 0.01 including known susceptibility genes CHEK2 (P= 0.0008), ATM (P= 0.002) and BRCA2 (P= 0.008). Outside the known genes we detected associations with p-values < 0.001 for either overall or subtype-specific breast cancer at nine deletion regions and four duplication regions. Three of the deletion regions were in established common susceptibility loci. ConclusionsThis is the first genome-wide analysis of rare CNVs in a large breast cancer case-control dataset. We detected associations with exonic deletions in established breast cancer susceptibility genes. We also detected suggestive associations with non-coding CNVs in known and novel loci with large effects sizes. Larger sample sizes will be required to reach robust levels of statistical significance.

genetics↗