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Genetic variants associated with mosaic Y chromosome loss highlight cell cycle genes and overlap with cancer susceptibility

The Y-chromosome is frequently lost in hematopoietic cells, representing the most common somatic mutation in men. However, the mechanisms regulating mosaic loss of chromosome-Y (mLOY), and its clinical relevance, are unknown. Using genotype array intensity data and sequence reads in 85,542 men, we i...

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Detalles Bibliográficos
Autores principales: Wright, Daniel J., Day, Felix R., Kerrison, Nicola D., Zink, Florian, Cardona, Alexia, Sulem, Patrick, Thompson, Deborah J., Sigurjonsdottir, Svanhvit, Gudbjartsson, Daniel F, Helgason, Agnar, Chapman, J. Ross, Jackson, Steve P., Langenberg, Claudia, Wareham, Nicholas J., Scott, Robert A., Thorsteindottir, Unnur, Ong, Ken K., Stefansson, Kari, Perry, John R.B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5973269/
https://www.ncbi.nlm.nih.gov/pubmed/28346444
http://dx.doi.org/10.1038/ng.3821
Descripción
Sumario:The Y-chromosome is frequently lost in hematopoietic cells, representing the most common somatic mutation in men. However, the mechanisms regulating mosaic loss of chromosome-Y (mLOY), and its clinical relevance, are unknown. Using genotype array intensity data and sequence reads in 85,542 men, we identify 19 genomic regions (P<5x10(-8)) associated with mLOY. Cumulatively, these loci also predicted X-chromosome loss in women (N=96,123, P=4x10(-6)). Additional epigenome-wide methylation analyses in whole blood highlighted 36 differentially methylated sites associated with mLOY. Identified genes converge on aspects of cell proliferation and cell-cycle regulation, including DNA synthesis (NPAT), DNA damage response (ATM), mitosis (PMF1-CENPN-MAD1L1) and apoptosis (TP53). We highlight shared genetic architecture between mLOY and cancer susceptibility, in addition to inferring a causal effect of smoking on mLOY. Collectively, our results demonstrate that genotype array intensity data enable a measure of cell-cycle efficiency at population scale, identifying genes implicated in aneuploidy, genome instability and cancer susceptibility.