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

作者
Angel C. Y. Mak,Yvonne Y. Y. Lai,Ernest T. Lam,Tsz-Piu Kwok,Alden King-Yung Leung,Annie Poon,Yulia Mostovoy,Alex Hastie,William Stedman,Thomas Anantharaman,Warren Andrews,Xiang Zhou,Andy Wing Chun Pang,Dai Heng,Catherine Chu,Chin Jia Lin,Jacob Wu,Catherine M L Li,Jing‐Woei Li,Aldrin Kay‐Yuen Yim
出处
期刊:Genetics [Oxford University Press]
卷期号:202 (1): 351-362 被引量:145
标识
DOI:10.1534/genetics.115.183483
摘要

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.

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