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

Author:

Mak Angel C Y11,Lai Yvonne Y Y11,Lam Ernest T21,Kwok Tsz-Piu31,Leung Alden K Y41,Poon Annie1,Mostovoy Yulia1,Hastie Alex R2,Stedman William2,Anantharaman Thomas2,Andrews Warren2,Zhou Xiang2,Pang Andy W C2,Dai Heng2,Chu Catherine1,Lin Chin1,Wu Jacob J K5,Li Catherine M L5,Li Jing-Woei46,Yim Aldrin K Y46,Chan Saki2,Sibert Justin7,Džakula Željko2,Cao Han2,Yiu Siu-Ming5,Chan Ting-Fung46,Yip Kevin Y36,Xiao Ming7,Kwok Pui-Yan18

Affiliation:

1. Cardiovascular Research Institute, University of California, San Francisco

2. BioNano Genomics

3. Department of Computer Science and Engineering, The Chinese University of Hong Kong

4. School of Life Sciences, and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong

5. Department of Computer Science, The University of Hong Kong

6. Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong

7. School of Biomedical Engineering, Science and Health Systems, Drexel University

8. Institute for Human Genetics, University of California, San Francisco

Abstract

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.

Publisher

Oxford University Press (OUP)

Subject

Genetics

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