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PMID: 17982454 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Genome-wide in situ exon capture for selective resequencing.

Nature genetics ·Vol. 39 ·No. 12 ·2007-12-00 ·Pages 1522-7

Hodges E, Xuan Z, Balija V, Kramer M, Molla MN, Smith SW, Middle CM, Rodesch MJ, Albert TJ, Hannon GJ, McCombie WR

Abstract

Increasingly powerful sequencing technologies are ushering in an era of personal genome sequences and raising the possibility of using such information to guide medical decisions. Genome resequencing also promises to accelerate the identification of disease-associated mutations. Roughly 98% of the human genome is composed of repeats and intergenic or non-protein-coding sequences. Thus, it is crucial to focus resequencing on high-value genomic regions. Protein-coding exons represent one such type of high-value target. We have developed a method of using flexible, high-density microarrays to capture any desired fraction of the human genome, in this case corresponding to more than 200,000 protein-coding exons. Depending on the precise protocol, up to 55-85% of the captured fragments are associated with targeted regions and up to 98% of intended exons can be recovered. This methodology provides an adaptable route toward rapid and efficient resequencing of any sizeable, non-repeat portion of the human genome.

MeSH Terms
Exons Genome, Human Humans Oligonucleotide Array Sequence Analysis/methods Oligonucleotides/genetics Sequence Analysis, DNA/methods
Chemicals
Oligonucleotides
Authors & Affiliations
11 authors, click to expand affiliations / ORCID
Hodges Emily
Howard Hughes Medical Institute, Watson School of Biological Sciences, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA.
Xuan Zhenyu
Balija Vivekanand
Kramer Melissa
Molla Michael N
Smith Steven W
Middle Christina M
Rodesch Matthew J
Albert Thomas J
Hannon Gregory J
McCombie W Richard
Article Info
Journal
Nature genetics
Abbr.
Nat Genet
ISSN
1546-1718
Published
2007-12-00
Epub
2007-00-04
Pages
1522-7
Language
English
Region
United States
NLM ID
9216904
Subset
IM
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