دورية أكاديمية

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes

التفاصيل البيبلوغرافية
العنوان: Analyses of non-coding somatic drivers in 2,658 cancer whole genomes
المؤلفون: Rheinbay, Esther, Nielsen, Morten Muhlig, Abascal, Federico, Wala, Jeremiah A, Shapira, Ofer, Tiao, Grace, Hornshøj, Henrik, Hess, Julian M, Juul, Randi Istrup, Lin, Ziao, Feuerbach, Lars, Sabarinathan, Radhakrishnan, Madsen, Tobias, Kim, Jaegil, Mularoni, Loris, Shuai, Shimin, Lanzós, Andrés, Herrmann, Carl, Maruvka, Yosef E, Shen, Ciyue, Amin, Samirkumar B, Bandopadhayay, Pratiti, Bertl, Johanna, Boroevich, Keith A, Busanovich, John, Carlevaro-Fita, Joana, Chakravarty, Dimple, Chan, Calvin Wing Yiu, Craft, David, Dhingra, Priyanka, Diamanti, Klev, Fonseca, Nuno A, Gonzalez-Perez, Abel, Guo, Qianyun, Hamilton, Mark P, Haradhvala, Nicholas J, Hong, Chen, Isaev, Keren, Johnson, Todd A, Juul, Malene, Kahles, Andre, Kahraman, Abdullah, Kim, Youngwook, Komorowski, Jan, Kumar, Kiran, Kumar, Sushant, Lee, Donghoon, Lehmann, Kjong-Van, Li, Yilong, Zhang, Jing, Getz, Gad, PCAWG Drivers and Functional Interpretation Working Group, PCAWG-Structural Variation Working Group, PCAWG Consortium
المساهمون: HASH(0x557ee6a8df50), HASH(0x557ee84bfe28), HASH(0x557ee6bb7fb0)
المصدر: Nature; 578(7793), pp 102-111 (2020) ; ISSN: 0028-0836
بيانات النشر: Nature Publishing Group
سنة النشر: 2020
المجموعة: Lund University Publications (LUP)
مصطلحات موضوعية: Medical Genetics, DNA Breaks, Databases, Genetic, Gene Expression Regulation, Neoplastic, Genome, Human/genetics, Genome-Wide Association Study, Humans, INDEL Mutation, Mutation/genetics, Neoplasms/genetics
الوصف: The discovery of drivers of cancer has traditionally focused on protein-coding genes1-4. Here we present analyses of driver point mutations and structural variants in non-coding regions across 2,658 genomes from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium5 of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). For point mutations, we developed a statistically rigorous strategy for combining significance levels from multiple methods of driver discovery that overcomes the limitations of individual methods. For structural variants, we present two methods of driver discovery, and identify regions that are significantly affected by recurrent breakpoints and recurrent somatic juxtapositions. Our analyses confirm previously reported drivers6,7, raise doubts about others and identify novel candidates, including point mutations in the 5' region of TP53, in the 3' untranslated regions of NFKBIZ and TOB1, focal deletions in BRD4 and rearrangements in the loci of AKR1C genes. We show that although point mutations and structural variants that drive cancer are less frequent in non-coding genes and regulatory sequences than in protein-coding genes, additional examples of these drivers will be found as more cancer genomes become available.
نوع الوثيقة: article in journal/newspaper
اللغة: English
ردمك: 978-85-07-90472-4
85-07-90472-6
العلاقة: https://lup.lub.lu.se/record/a18bfc6d-b006-4e66-af62-78b53b51633eTest; http://dx.doi.org/10.1038/s41586-020-1965-xTest; pmid:32025015; scopus:85079047263
DOI: 10.1038/s41586-020-1965-x
الإتاحة: https://doi.org/10.1038/s41586-020-1965-xTest
https://lup.lub.lu.se/record/a18bfc6d-b006-4e66-af62-78b53b51633eTest
رقم الانضمام: edsbas.A17967A6
قاعدة البيانات: BASE
الوصف
ردمك:9788507904724
8507904726
DOI:10.1038/s41586-020-1965-x