ALBERT

Description: Structural variations of DNA greater than 1 kilobase in size account for most bases that vary among human genomes, but are still relatively under-ascertained. Here we use tiling oligonucleotide microarrays, comprising 42 million probes, to generate a comprehensive map of 11,700 copy number variations (CNVs) greater than 443 base pairs, of which most (8,599) have been validated independently. For 4,978 of these CNVs, we generated reference genotypes from 450 individuals of European, African or East Asian ancestry. The predominant mutational mechanisms differ among CNV size classes. Retrotransposition has duplicated and inserted some coding and non-coding DNA segments randomly around the genome. Furthermore, by correlation with known trait-associated single nucleotide polymorphisms (SNPs), we identified 30 loci with CNVs that are candidates for influencing disease susceptibility. Despite this, having assessed the completeness of our map and the patterns of linkage disequilibrium between CNVs and SNPs, we conclude that, for complex traits, the heritability void left by genome-wide association studies will not be accounted for by common CNVs.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3330748/" 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/PMC3330748/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Conrad, Donald F -- Pinto, Dalila -- Redon, Richard -- Feuk, Lars -- Gokcumen, Omer -- Zhang, Yujun -- Aerts, Jan -- Andrews, T Daniel -- Barnes, Chris -- Campbell, Peter -- Fitzgerald, Tomas -- Hu, Min -- Ihm, Chun Hwa -- Kristiansson, Kati -- Macarthur, Daniel G -- Macdonald, Jeffrey R -- Onyiah, Ifejinelo -- Pang, Andy Wing Chun -- Robson, Sam -- Stirrups, Kathy -- Valsesia, Armand -- Walter, Klaudia -- Wei, John -- Wellcome Trust Case Control Consortium -- Tyler-Smith, Chris -- Carter, Nigel P -- Lee, Charles -- Scherer, Stephen W -- Hurles, Matthew E -- 077006/Z/05/Z/Wellcome Trust/United Kingdom -- 077008/Wellcome Trust/United Kingdom -- 077009/Wellcome Trust/United Kingdom -- 077014/Wellcome Trust/United Kingdom -- 088340/Wellcome Trust/United Kingdom -- GM081533/GM/NIGMS NIH HHS/ -- HG004221/HG/NHGRI NIH HHS/ -- Canadian Institutes of Health Research/Canada -- England -- Nature. 2010 Apr 1;464(7289):704-12. doi: 10.1038/nature08516. Epub 2009 Oct 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19812545" target="_blank"〉PubMed〈/a〉

Description: DNA sequence information underpins genetic research, enabling discoveries of important biological or medical benefit. Sequencing projects have traditionally used long (400-800 base pair) reads, but the existence of reference sequences for the human and many other genomes makes it possible to develop new, fast approaches to re-sequencing, whereby shorter reads are compared to a reference to identify intraspecies genetic variation. Here we report an approach that generates several billion bases of accurate nucleotide sequence per experiment at low cost. Single molecules of DNA are attached to a flat surface, amplified in situ and used as templates for synthetic sequencing with fluorescent reversible terminator deoxyribonucleotides. Images of the surface are analysed to generate high-quality sequence. We demonstrate application of this approach to human genome sequencing on flow-sorted X chromosomes and then scale the approach to determine the genome sequence of a male Yoruba from Ibadan, Nigeria. We build an accurate consensus sequence from 〉30x average depth of paired 35-base reads. We characterize four million single-nucleotide polymorphisms and four hundred thousand structural variants, many of which were previously unknown. Our approach is effective for accurate, rapid and economical whole-genome re-sequencing and many other biomedical applications.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2581791/" 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/PMC2581791/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bentley, David R -- Balasubramanian, Shankar -- Swerdlow, Harold P -- Smith, Geoffrey P -- Milton, John -- Brown, Clive G -- Hall, Kevin P -- Evers, Dirk J -- Barnes, Colin L -- Bignell, Helen R -- Boutell, Jonathan M -- Bryant, Jason -- Carter, Richard J -- Keira Cheetham, R -- Cox, Anthony J -- Ellis, Darren J -- Flatbush, Michael R -- Gormley, Niall A -- Humphray, Sean J -- Irving, Leslie J -- Karbelashvili, Mirian S -- Kirk, Scott M -- Li, Heng -- Liu, Xiaohai -- Maisinger, Klaus S -- Murray, Lisa J -- Obradovic, Bojan -- Ost, Tobias -- Parkinson, Michael L -- Pratt, Mark R -- Rasolonjatovo, Isabelle M J -- Reed, Mark T -- Rigatti, Roberto -- Rodighiero, Chiara -- Ross, Mark T -- Sabot, Andrea -- Sankar, Subramanian V -- Scally, Aylwyn -- Schroth, Gary P -- Smith, Mark E -- Smith, Vincent P -- Spiridou, Anastassia -- Torrance, Peta E -- Tzonev, Svilen S -- Vermaas, Eric H -- Walter, Klaudia -- Wu, Xiaolin -- Zhang, Lu -- Alam, Mohammed D -- Anastasi, Carole -- Aniebo, Ify C -- Bailey, David M D -- Bancarz, Iain R -- Banerjee, Saibal -- Barbour, Selena G -- Baybayan, Primo A -- Benoit, Vincent A -- Benson, Kevin F -- Bevis, Claire -- Black, Phillip J -- Boodhun, Asha -- Brennan, Joe S -- Bridgham, John A -- Brown, Rob C -- Brown, Andrew A -- Buermann, Dale H -- Bundu, Abass A -- Burrows, James C -- Carter, Nigel P -- Castillo, Nestor -- Chiara E Catenazzi, Maria -- Chang, Simon -- Neil Cooley, R -- Crake, Natasha R -- Dada, Olubunmi O -- Diakoumakos, Konstantinos D -- Dominguez-Fernandez, Belen -- Earnshaw, David J -- Egbujor, Ugonna C -- Elmore, David W -- Etchin, Sergey S -- Ewan, Mark R -- Fedurco, Milan -- Fraser, Louise J -- Fuentes Fajardo, Karin V -- Scott Furey, W -- George, David -- Gietzen, Kimberley J -- Goddard, Colin P -- Golda, George S -- Granieri, Philip A -- Green, David E -- Gustafson, David L -- Hansen, Nancy F -- Harnish, Kevin -- Haudenschild, Christian D -- Heyer, Narinder I -- Hims, Matthew M -- Ho, Johnny T -- Horgan, Adrian M -- Hoschler, Katya -- Hurwitz, Steve -- Ivanov, Denis V -- Johnson, Maria Q -- James, Terena -- Huw Jones, T A -- Kang, Gyoung-Dong -- Kerelska, Tzvetana H -- Kersey, Alan D -- Khrebtukova, Irina -- Kindwall, Alex P -- Kingsbury, Zoya -- Kokko-Gonzales, Paula I -- Kumar, Anil -- Laurent, Marc A -- Lawley, Cynthia T -- Lee, Sarah E -- Lee, Xavier -- Liao, Arnold K -- Loch, Jennifer A -- Lok, Mitch -- Luo, Shujun -- Mammen, Radhika M -- Martin, John W -- McCauley, Patrick G -- McNitt, Paul -- Mehta, Parul -- Moon, Keith W -- Mullens, Joe W -- Newington, Taksina -- Ning, Zemin -- Ling Ng, Bee -- Novo, Sonia M -- O'Neill, Michael J -- Osborne, Mark A -- Osnowski, Andrew -- Ostadan, Omead -- Paraschos, Lambros L -- Pickering, Lea -- Pike, Andrew C -- Pike, Alger C -- Chris Pinkard, D -- Pliskin, Daniel P -- Podhasky, Joe -- Quijano, Victor J -- Raczy, Come -- Rae, Vicki H -- Rawlings, Stephen R -- Chiva Rodriguez, Ana -- Roe, Phyllida M -- Rogers, John -- Rogert Bacigalupo, Maria C -- Romanov, Nikolai -- Romieu, Anthony -- Roth, Rithy K -- Rourke, Natalie J -- Ruediger, Silke T -- Rusman, Eli -- Sanches-Kuiper, Raquel M -- Schenker, Martin R -- Seoane, Josefina M -- Shaw, Richard J -- Shiver, Mitch K -- Short, Steven W -- Sizto, Ning L -- Sluis, Johannes P -- Smith, Melanie A -- Ernest Sohna Sohna, Jean -- Spence, Eric J -- Stevens, Kim -- Sutton, Neil -- Szajkowski, Lukasz -- Tregidgo, Carolyn L -- Turcatti, Gerardo -- Vandevondele, Stephanie -- Verhovsky, Yuli -- Virk, Selene M -- Wakelin, Suzanne -- Walcott, Gregory C -- Wang, Jingwen -- Worsley, Graham J -- Yan, Juying -- Yau, Ling -- Zuerlein, Mike -- Rogers, Jane -- Mullikin, James C -- Hurles, Matthew E -- McCooke, Nick J -- West, John S -- Oaks, Frank L -- Lundberg, Peter L -- Klenerman, David -- Durbin, Richard -- Smith, Anthony J -- B05823/Biotechnology and Biological Sciences Research Council/United Kingdom -- G0701805/Medical Research Council/United Kingdom -- MOL04534/Biotechnology and Biological Sciences Research Council/United Kingdom -- Z01 HG200330-03/Intramural NIH HHS/ -- Biotechnology and Biological Sciences Research Council/United Kingdom -- Wellcome Trust/United Kingdom -- England -- Nature. 2008 Nov 6;456(7218):53-9. doi: 10.1038/nature07517.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Illumina Cambridge Ltd. (Formerly Solexa Ltd), Chesterford Research Park, Little Chesterford, Nr Saffron Walden, Essex CB10 1XL, UK. dbentley@illumina.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18987734" target="_blank"〉PubMed〈/a〉

Description: There are currently few therapeutic options for patients with pancreatic cancer, and new insights into the pathogenesis of this lethal disease are urgently needed. Toward this end, we performed a comprehensive genetic analysis of 24 pancreatic cancers. We first determined the sequences of 23,219 transcripts, representing 20,661 protein-coding genes, in these samples. Then, we searched for homozygous deletions and amplifications in the tumor DNA by using microarrays containing probes for approximately 10(6) single-nucleotide polymorphisms. We found that pancreatic cancers contain an average of 63 genetic alterations, the majority of which are point mutations. These alterations defined a core set of 12 cellular signaling pathways and processes that were each genetically altered in 67 to 100% of the tumors. Analysis of these tumors' transcriptomes with next-generation sequencing-by-synthesis technologies provided independent evidence for the importance of these pathways and processes. Our data indicate that genetically altered core pathways and regulatory processes only become evident once the coding regions of the genome are analyzed in depth. Dysregulation of these core pathways and processes through mutation can explain the major features of pancreatic tumorigenesis.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848990/" 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/PMC2848990/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jones, Sian -- Zhang, Xiaosong -- Parsons, D Williams -- Lin, Jimmy Cheng-Ho -- Leary, Rebecca J -- Angenendt, Philipp -- Mankoo, Parminder -- Carter, Hannah -- Kamiyama, Hirohiko -- Jimeno, Antonio -- Hong, Seung-Mo -- Fu, Baojin -- Lin, Ming-Tseh -- Calhoun, Eric S -- Kamiyama, Mihoko -- Walter, Kimberly -- Nikolskaya, Tatiana -- Nikolsky, Yuri -- Hartigan, James -- Smith, Douglas R -- Hidalgo, Manuel -- Leach, Steven D -- Klein, Alison P -- Jaffee, Elizabeth M -- Goggins, Michael -- Maitra, Anirban -- Iacobuzio-Donahue, Christine -- Eshleman, James R -- Kern, Scott E -- Hruban, Ralph H -- Karchin, Rachel -- Papadopoulos, Nickolas -- Parmigiani, Giovanni -- Vogelstein, Bert -- Velculescu, Victor E -- Kinzler, Kenneth W -- CA121113/CA/NCI NIH HHS/ -- CA43460/CA/NCI NIH HHS/ -- CA57345/CA/NCI NIH HHS/ -- CA62924/CA/NCI NIH HHS/ -- P50 CA062924/CA/NCI NIH HHS/ -- P50 CA062924-130011/CA/NCI NIH HHS/ -- P50 CA062924-140011/CA/NCI NIH HHS/ -- P50 CA062924-160017/CA/NCI NIH HHS/ -- R01 CA121113/CA/NCI NIH HHS/ -- R01 CA121113-04/CA/NCI NIH HHS/ -- R37 CA043460/CA/NCI NIH HHS/ -- R37 CA043460-27/CA/NCI NIH HHS/ -- R37 CA057345/CA/NCI NIH HHS/ -- R37 CA057345-17/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2008 Sep 26;321(5897):1801-6. doi: 10.1126/science.1164368. Epub 2008 Sep 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Sol Goldman Pancreatic Cancer Research Center, Ludwig Center and Howard Hughes Medical Institute at the Johns Hopkins Kimmel Cancer Center, Baltimore, MD 21231, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18772397" target="_blank"〉PubMed〈/a〉

Description: Author Posting. © The Author(s), 2008. This is the author's version of the work. It is posted here by permission of Nature Publishing Group for personal use, not for redistribution. The definitive version was published in Nature 452 (2008): 202-205, doi:10.1038/nature06686.

Description: Worldwide, anthropogenic addition of bioavailable nitrogen (N) to the biosphere is increasing and terrestrial ecosystems are becoming increasingly N saturated, causing more bioavailable N to enter groundwater and surface waters. Large-scale N budgets show that an average of about 20-25% of the N added to the biosphere is exported from rivers to the ocean or inland basins, indicating substantial sinks for N must exist in the landscape. Streams and rivers may be important sinks for bioavailable N owing to their hydrologic connections with terrestrial systems, high rates of biological activity, and streambed sediment environments that favor microbial denitrification. Here, using data from 15N tracer experiments replicated across 72 streams and 8 regions representing several biomes, we show that total biotic uptake and denitrification of nitrate increase with stream nitrate concentration, but that the efficiency of biotic uptake and denitrification declines as concentration increases, reducing the proportion of instream nitrate that is removed from transport. Total uptake of nitrate was related to ecosystem photosynthesis and denitrification was related to ecosystem respiration. Additionally, we use a stream network model to demonstrate that excess nitrate in streams elicits a disproportionate increase in the fraction of nitrate that is exported to receiving waters and reduces the relative role of small versus large streams as nitrate sinks.

Description: Funding for this research was provided by the National Science Foundation.