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Characterization of 26 deletion CNVs reveals the frequent occurrence of micro-mutations within the breakpoint-flanking regions and frequent repair of double-strand breaks by templated insertions…

Overview of attention for article published in Human Genetics, March 2015
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Title
Characterization of 26 deletion CNVs reveals the frequent occurrence of micro-mutations within the breakpoint-flanking regions and frequent repair of double-strand breaks by templated insertions derived from remote genomic regions
Published in
Human Genetics, March 2015
DOI 10.1007/s00439-015-1539-4
Pubmed ID
Authors

Ye Wang, Peiqiang Su, Bin Hu, Wenjuan Zhu, Qibin Li, Ping Yuan, Jiangchao Li, Xinyuan Guan, Fucheng Li, Xiangyi Jing, Ru Li, Yongling Zhang, Claude Férec, David N. Cooper, Jun Wang, Dongsheng Huang, Jian-Min Chen, Yiming Wang

Abstract

Copy number variations (CNVs) have increasingly been reported to cause, or predispose to, human disease. However, a large fraction of these CNVs have not been accurately characterized at the single-base-pair level, thereby hampering a better understanding of the mutational mechanisms underlying CNV formation. Here, employing a composite pipeline method derived from various inference-based programs, we have characterized 26 deletion CNVs [including three novel pathogenic CNVs involving an autosomal gene (EXT2) causing hereditary osteochondromas and an X-linked gene (CLCN5) causing Dent disease, as well as 23 CNVs previously identified by inference from a cohort of Canadian autism spectrum disorder families] to the single-base-pair level of accuracy from whole-genome sequencing data. We found that breakpoint-flanking micro-mutations (within 22 bp of the breakpoint) are present in a significant fraction (5/26; 19 %) of the deletion CNVs. This analysis also provided evidence that a recently described error-prone form of DNA repair (i.e., repair of DNA double-strand breaks by templated nucleotide sequence insertions derived from distant regions of the genome) not only causes human genetic disease but also impacts on human genome evolution. Our findings illustrate the importance of precise CNV breakpoint delineation for understanding the underlying mutational mechanisms and have implications for primer design in relation to the detection of deletion CNVs in clinical diagnosis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Bachelor 9 20%
Student > Master 7 16%
Student > Ph. D. Student 5 11%
Professor > Associate Professor 2 4%
Other 5 11%
Unknown 7 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 22%
Agricultural and Biological Sciences 8 18%
Medicine and Dentistry 7 16%
Computer Science 3 7%
Psychology 2 4%
Other 5 11%
Unknown 10 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 March 2015.
All research outputs
#13,938,371
of 22,796,179 outputs
Outputs from Human Genetics
#2,416
of 2,953 outputs
Outputs of similar age
#134,016
of 262,958 outputs
Outputs of similar age from Human Genetics
#12
of 18 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,953 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 262,958 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.