Accurate Whole-Genome Sequencing and Haplotyping from 10 to 20 Human Cells

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Accurate Whole-Genome Sequencing and Haplotyping from 10 to 20 Human Cells

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Title: Accurate Whole-Genome Sequencing and Haplotyping from 10 to 20 Human Cells
Author: 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 J.; Lee, Je-Hyuk; 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 McDonald; Drmanac, Radoje; Zaranek, Alexander Wait; Ball, Madeleine Price

Note: Order does not necessarily reflect citation order of authors.

Citation: Peters, Brock A., Bahram G. Kermani, Andrew B. Sparks, Oleg Alferov, Peter Hong, Andrei Alexeev, Yuan Jiang, et al. 2012. Accurate whole-genome sequencing and haplotyping from 10 to 20 human cells. Nature 487(7406): 190-195.
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Abstract: 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, similar to sequencing long single DNA molecules without cloning or separation of metaphase chromosomes. In this study, ten LFR libraries were made using only ~100 pg of human DNA per sample. Up to 97% of the heterozygous single nucleotide variants (SNVs) were assembled into long haplotype contigs. Removal of false positive SNVs not phased by multiple LFR haplotypes resulted in a final genome error rate of 1 in 10 Mb. 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.
Published Version: doi:10.1038/nature11236
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