↓ Skip to main content

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

Overview of attention for article published in Genetics, October 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
11 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
126 Dimensions

Readers on

mendeley
225 Mendeley
citeulike
4 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genome-Wide Structural Variation Detection by Genome Mapping on Nanochannel Arrays
Published in
Genetics, October 2015
DOI 10.1534/genetics.115.183483
Pubmed ID
Authors

Angel C. Y. Mak, Yvonne Y. Y. Lai, Ernest T. Lam, Tsz-Piu Kwok, Alden K. Y. Leung, Annie Poon, Yulia Mostovoy, Alex R. Hastie, William Stedman, Thomas Anantharaman, Warren Andrews, Xiang Zhou, Andy W. C. Pang, Heng Dai, Catherine Chu, Chin Lin, Jacob J. K. Wu, Catherine M. L. Li, Jing-Woei Li, Aldrin K. Y. Yim, Saki Chan, Justin Sibert, Željko Džakula, Han Cao, Siu-Ming Yiu, Ting-Fung Chan, Kevin Y. Yip, Ming Xiao, Pui-Yan Kwok

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 variation 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 <1%
Netherlands 1 <1%
Norway 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 219 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 22%
Researcher 36 16%
Student > Master 24 11%
Student > Bachelor 15 7%
Student > Doctoral Student 10 4%
Other 38 17%
Unknown 53 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 32%
Biochemistry, Genetics and Molecular Biology 48 21%
Computer Science 12 5%
Medicine and Dentistry 8 4%
Engineering 8 4%
Other 21 9%
Unknown 56 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 September 2023.
All research outputs
#2,169,053
of 25,373,627 outputs
Outputs from Genetics
#697
of 7,400 outputs
Outputs of similar age
#30,644
of 295,276 outputs
Outputs of similar age from Genetics
#16
of 92 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 295,276 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.