| Literature DB >> 29625052 |
Kuan-Lin Huang1, R Jay Mashl1, Yige Wu1, Deborah I Ritter2, Jiayin Wang3, Clara Oh4, Marta Paczkowska5, Sheila Reynolds6, Matthew A Wyczalkowski1, Ninad Oak7, Adam D Scott1, Michal Krassowski5, Andrew D Cherniack8, Kathleen E Houlahan9, Reyka Jayasinghe1, Liang-Bo Wang1, Daniel Cui Zhou1, Di Liu4, Song Cao1, Young Won Kim7, Amanda Koire7, Joshua F McMichael10, Vishwanathan Hucthagowder11, Tae-Beom Kim12, Abigail Hahn6, Chen Wang13, Michael D McLellan10, Fahd Al-Mulla14, Kimberly J Johnson15, Olivier Lichtarge7, Paul C Boutros9, Benjamin Raphael16, Alexander J Lazar17, Wei Zhang18, Michael C Wendl19, Ramaswamy Govindan4, Sanjay Jain4, David Wheeler7, Shashikant Kulkarni20, John F Dipersio21, Jüri Reimand9, Funda Meric-Bernstam22, Ken Chen12, Ilya Shmulevich6, Sharon E Plon23, Feng Chen24, Li Ding25.
Abstract
We conducted the largest investigation of predisposition variants in cancer to date, discovering 853 pathogenic or likely pathogenic variants in 8% of 10,389 cases from 33 cancer types. Twenty-one genes showed single or cross-cancer associations, including novel associations of SDHA in melanoma and PALB2 in stomach adenocarcinoma. The 659 predisposition variants and 18 additional large deletions in tumor suppressors, including ATM, BRCA1, and NF1, showed low gene expression and frequent (43%) loss of heterozygosity or biallelic two-hit events. We also discovered 33 such variants in oncogenes, including missenses in MET, RET, and PTPN11 associated with high gene expression. We nominated 47 additional predisposition variants from prioritized VUSs supported by multiple evidences involving case-control frequency, loss of heterozygosity, expression effect, and co-localization with mutations and modified residues. Our integrative approach links rare predisposition variants to functional consequences, informing future guidelines of variant classification and germline genetic testing in cancer.Entities:
Keywords: LOH; cancer predisposition; germline and somatic genomes; variant pathogenicity
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Year: 2018 PMID: 29625052 PMCID: PMC5949147 DOI: 10.1016/j.cell.2018.03.039
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582