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The impact of structural variation on human gene expression

Overview of attention for article published in Nature Genetics, April 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet
blogs
5 blogs
twitter
148 X users
facebook
4 Facebook pages

Citations

dimensions_citation
343 Dimensions

Readers on

mendeley
647 Mendeley
citeulike
6 CiteULike
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Title
The impact of structural variation on human gene expression
Published in
Nature Genetics, April 2017
DOI 10.1038/ng.3834
Pubmed ID
Authors

Colby Chiang, Alexandra J Scott, Joe R Davis, Emily K Tsang, Xin Li, Yungil Kim, Tarik Hadzic, Farhan N Damani, Liron Ganel, Stephen B Montgomery, Alexis Battle, Donald F Conrad, Ira M Hall

Abstract

Structural variants (SVs) are an important source of human genetic diversity, but their contribution to traits, disease and gene regulation remains unclear. We mapped cis expression quantitative trait loci (eQTLs) in 13 tissues via joint analysis of SVs, single-nucleotide variants (SNVs) and short insertion/deletion (indel) variants from deep whole-genome sequencing (WGS). We estimated that SVs are causal at 3.5-6.8% of eQTLs-a substantially higher fraction than prior estimates-and that expression-altering SVs have larger effect sizes than do SNVs and indels. We identified 789 putative causal SVs predicted to directly alter gene expression: most (88.3%) were noncoding variants enriched at enhancers and other regulatory elements, and 52 were linked to genome-wide association study loci. We observed a notable abundance of rare high-impact SVs associated with aberrant expression of nearby genes. These results suggest that comprehensive WGS-based SV analyses will increase the power of common- and rare-variant association studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 148 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 647 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 <1%
United Kingdom 4 <1%
Japan 2 <1%
France 1 <1%
Lithuania 1 <1%
Sweden 1 <1%
Germany 1 <1%
Mexico 1 <1%
Italy 1 <1%
Other 2 <1%
Unknown 627 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 154 24%
Student > Ph. D. Student 143 22%
Student > Master 63 10%
Student > Bachelor 50 8%
Student > Doctoral Student 32 5%
Other 96 15%
Unknown 109 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 218 34%
Agricultural and Biological Sciences 183 28%
Medicine and Dentistry 38 6%
Computer Science 24 4%
Neuroscience 12 2%
Other 37 6%
Unknown 135 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 122. 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 31 July 2023.
All research outputs
#347,494
of 26,017,215 outputs
Outputs from Nature Genetics
#655
of 7,639 outputs
Outputs of similar age
#7,232
of 327,723 outputs
Outputs of similar age from Nature Genetics
#17
of 76 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done particularly well, scoring higher than 91% 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 327,723 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.