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Accurate whole human genome sequencing using reversible terminator chemistry
Authors: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
Institution:Illumina Cambridge Ltd. (Formerly Solexa Ltd), Chesterford Research Park, Little Chesterford, Nr Saffron Walden, Essex CB10 1XL, UK. dbentley@illumina.com
Abstract: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.
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