Cargando…
Predicting Cancer Risk from Germline Whole-exome Sequencing Data Using a Novel Context-based Variant Aggregation Approach
Many studies have shown that the distributions of the genomic, nucleotide, and epigenetic contexts of somatic variants in tumors are informative of cancer etiology. Recently, a new direction of research has focused on extracting signals from the contexts of germline variants and evidence has emerged...
Autores principales: | Guan, Zoe, Begg, Colin B., Shen, Ronglai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032232/ https://www.ncbi.nlm.nih.gov/pubmed/36969913 http://dx.doi.org/10.1158/2767-9764.CRC-22-0355 |
Ejemplares similares
-
Mining mutation contexts across the cancer genome to map tumor site of origin
por: Chakraborty, Saptarshi, et al.
Publicado: (2021) -
Whole Exome Sequencing Uncovers Germline Variants of Cancer-Related Genes in Sporadic Pheochromocytoma
por: Urbini, Milena, et al.
Publicado: (2018) -
TMC-SNPdb: an Indian germline variant database derived from whole exome sequences
por: Upadhyay, Pawan, et al.
Publicado: (2016) -
Whole-Exome Sequencing of Germline Variants in Non-BRCA Families with Hereditary Breast Cancer
por: Liu, Yaxuan, et al.
Publicado: (2022) -
Whole-Exome Sequencing Identifies Pathogenic Germline Variants in Patients with Lynch-Like Syndrome
por: dos Santos, Wellington, et al.
Publicado: (2022)