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  • 1
    Publication Date: 2010-05-28
    Description: Lung cancer is the leading cause of cancer-related mortality worldwide, with non-small-cell lung carcinomas in smokers being the predominant form of the disease. Although previous studies have identified important common somatic mutations in lung cancers, they have primarily focused on a limited set of genes and have thus provided a constrained view of the mutational spectrum. Recent cancer sequencing efforts have used next-generation sequencing technologies to provide a genome-wide view of mutations in leukaemia, breast cancer and cancer cell lines. Here we present the complete sequences of a primary lung tumour (60x coverage) and adjacent normal tissue (46x). Comparing the two genomes, we identify a wide variety of somatic variations, including 〉50,000 high-confidence single nucleotide variants. We validated 530 somatic single nucleotide variants in this tumour, including one in the KRAS proto-oncogene and 391 others in coding regions, as well as 43 large-scale structural variations. These constitute a large set of new somatic mutations and yield an estimated 17.7 per megabase genome-wide somatic mutation rate. Notably, we observe a distinct pattern of selection against mutations within expressed genes compared to non-expressed genes and in promoter regions up to 5 kilobases upstream of all protein-coding genes. Furthermore, we observe a higher rate of amino acid-changing mutations in kinase genes. We present a comprehensive view of somatic alterations in a single lung tumour, and provide the first evidence, to our knowledge, of distinct selective pressures present within the tumour environment.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lee, William -- Jiang, Zhaoshi -- Liu, Jinfeng -- Haverty, Peter M -- Guan, Yinghui -- Stinson, Jeremy -- Yue, Peng -- Zhang, Yan -- Pant, Krishna P -- Bhatt, Deepali -- Ha, Connie -- Johnson, Stephanie -- Kennemer, Michael I -- Mohan, Sankar -- Nazarenko, Igor -- Watanabe, Colin -- Sparks, Andrew B -- Shames, David S -- Gentleman, Robert -- de Sauvage, Frederic J -- Stern, Howard -- Pandita, Ajay -- Ballinger, Dennis G -- Drmanac, Radoje -- Modrusan, Zora -- Seshagiri, Somasekar -- Zhang, Zemin -- England -- Nature. 2010 May 27;465(7297):473-7. doi: 10.1038/nature09004.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20505728" target="_blank"〉PubMed〈/a〉
    Keywords: Carcinoma, Non-Small-Cell Lung/*genetics ; DNA Mutational Analysis ; Genome, Human/*genetics ; Humans ; Lung Neoplasms/*genetics ; Male ; Middle Aged ; Models, Biological ; Point Mutation/*genetics ; Selection, Genetic/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2012-07-13
    Description: Recent advances in whole-genome sequencing have brought the vision of personal genomics and genomic medicine closer to reality. However, current methods lack clinical accuracy and the ability to describe the context (haplotypes) in which genome variants co-occur in a cost-effective manner. Here we describe a low-cost DNA sequencing and haplotyping process, long fragment read (LFR) technology, which is similar to sequencing long single DNA molecules without cloning or separation of metaphase chromosomes. In this study, ten LFR libraries were made using only approximately 100 picograms of human DNA per sample. Up to 97% of the heterozygous single nucleotide variants were assembled into long haplotype contigs. Removal of false positive single nucleotide variants not phased by multiple LFR haplotypes resulted in a final genome error rate of 1 in 10 megabases. Cost-effective and accurate genome sequencing and haplotyping from 10-20 human cells, as demonstrated here, will enable comprehensive genetic studies and diverse clinical applications.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3397394/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3397394/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Peters, Brock A -- Kermani, Bahram G -- Sparks, Andrew B -- Alferov, Oleg -- Hong, Peter -- Alexeev, Andrei -- Jiang, Yuan -- Dahl, Fredrik -- Tang, Y Tom -- Haas, Juergen -- Robasky, Kimberly -- Zaranek, Alexander Wait -- Lee, Je-Hyuk -- Ball, Madeleine Price -- Peterson, Joseph E -- Perazich, Helena -- Yeung, George -- Liu, Jia -- Chen, Linsu -- Kennemer, Michael I -- Pothuraju, Kaliprasad -- Konvicka, Karel -- Tsoupko-Sitnikov, Mike -- Pant, Krishna P -- Ebert, Jessica C -- Nilsen, Geoffrey B -- Baccash, Jonathan -- Halpern, Aaron L -- Church, George M -- Drmanac, Radoje -- P50 HG005550/HG/NHGRI NIH HHS/ -- P50HG005550/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Jul 11;487(7406):190-5. doi: 10.1038/nature11236.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Complete Genomics, Inc., 2071 Stierlin Court, Mountain View, California 94043, USA. bpeters@completegenomics.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22785314" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Cell Line ; Female ; Gene Silencing ; Genetic Variation ; *Genome, Human ; Genomics/*methods ; Haplotypes ; Humans ; Mutation ; Reproducibility of Results ; Sequence Analysis, DNA/economics/*methods/standards
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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