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Genome-Wide Structural Variation Detection by Genome Mapping on Nanochannel Arrays

Authors :
Andy Wing Chun Pang
Yvonne Y. Y. Lai
Yulia Mostovoy
Heng Dai
Justin Sibert
Pui-Yan Kwok
Ernest T. Lam
Catherine M. L. Li
William Stedman
Željko Džakula
Siu-Ming Yiu
Jacob J. K. Wu
Thomas Anantharaman
Han Cao
Ting-Fung Chan
Aldrin Kay-Yuen Yim
Warren Andrews
Alex Hastie
Chin Lin
Saki Chan
Angel C.Y. Mak
Catherine Chu
Tsz-Piu Kwok
Annie Poon
Kevin Y. Yip
Ming Xiao
Alden King-Yung Leung
Xiang Zhou
Jing-Woei Li
Source :
Genetics, vol 202, iss 1, Genetics
Publication Year :
2015
Publisher :
Oxford University Press (OUP), 2015.

Abstract

Comprehensive whole-genome structural variation detection is challenging with current approaches. With diploid cells as DNA source and the presence of numerous repetitive elements, short-read DNA sequencing cannot be used to detect structural variation efficiently. In this report, we show that genome mapping with long, fluorescently labeled DNA molecules imaged on nanochannel arrays can be used for whole-genome structural variation detection without sequencing. While whole-genome haplotyping is not achieved, local phasing (across >150-kb regions) is routine, as molecules from the parental chromosomes are examined separately. In one experiment, we generated genome maps from a trio from the 1000 Genomes Project, compared the maps against that derived from the reference human genome, and identified structural variations that are >5 kb in size. We find that these individuals have many more structural variants than those published, including some with the potential of disrupting gene function or regulation.

Details

ISSN :
19432631
Volume :
202
Database :
OpenAIRE
Journal :
Genetics
Accession number :
edsair.doi.dedup.....1c9d8739f1ee024da140da1ab8c8a893
Full Text :
https://doi.org/10.1534/genetics.115.183483