Literature DB >> 19892942

Human genome sequencing using unchained base reads on self-assembling DNA nanoarrays.

Radoje Drmanac1, Andrew B Sparks, Matthew J Callow, Aaron L Halpern, Norman L Burns, Bahram G Kermani, Paolo Carnevali, Igor Nazarenko, Geoffrey B Nilsen, George Yeung, Fredrik Dahl, Andres Fernandez, Bryan Staker, Krishna P Pant, Jonathan Baccash, Adam P Borcherding, Anushka Brownley, Ryan Cedeno, Linsu Chen, Dan Chernikoff, Alex Cheung, Razvan Chirita, Benjamin Curson, Jessica C Ebert, Coleen R Hacker, Robert Hartlage, Brian Hauser, Steve Huang, Yuan Jiang, Vitali Karpinchyk, Mark Koenig, Calvin Kong, Tom Landers, Catherine Le, Jia Liu, Celeste E McBride, Matt Morenzoni, Robert E Morey, Karl Mutch, Helena Perazich, Kimberly Perry, Brock A Peters, Joe Peterson, Charit L Pethiyagoda, Kaliprasad Pothuraju, Claudia Richter, Abraham M Rosenbaum, Shaunak Roy, Jay Shafto, Uladzislau Sharanhovich, Karen W Shannon, Conrad G Sheppy, Michel Sun, Joseph V Thakuria, Anne Tran, Dylan Vu, Alexander Wait Zaranek, Xiaodi Wu, Snezana Drmanac, Arnold R Oliphant, William C Banyai, Bruce Martin, Dennis G Ballinger, George M Church, Clifford A Reid.   

Abstract

Genome sequencing of large numbers of individuals promises to advance the understanding, treatment, and prevention of human diseases, among other applications. We describe a genome sequencing platform that achieves efficient imaging and low reagent consumption with combinatorial probe anchor ligation chemistry to independently assay each base from patterned nanoarrays of self-assembling DNA nanoballs. We sequenced three human genomes with this platform, generating an average of 45- to 87-fold coverage per genome and identifying 3.2 to 4.5 million sequence variants per genome. Validation of one genome data set demonstrates a sequence accuracy of about 1 false variant per 100 kilobases. The high accuracy, affordable cost of $4400 for sequencing consumables, and scalability of this platform enable complete human genome sequencing for the detection of rare variants in large-scale genetic studies.

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Year:  2009        PMID: 19892942     DOI: 10.1126/science.1181498

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


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