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An Effort to Use Human-Based Exome Capture Methods to Analyze Chimpanzee and Macaque Exomes

Overview of attention for article published in PLOS ONE, July 2012
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Title
An Effort to Use Human-Based Exome Capture Methods to Analyze Chimpanzee and Macaque Exomes
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0040637
Pubmed ID
Authors

Xin Jin, Mingze He, Betsy Ferguson, Yuhuan Meng, Limei Ouyang, Jingjing Ren, Thomas Mailund, Fei Sun, Liangdan Sun, Juan Shen, Min Zhuo, Li Song, Jufang Wang, Fei Ling, Yuqi Zhu, Christina Hvilsom, Hans Siegismund, Xiaoming Liu, Zhuolin Gong, Fang Ji, Xinzhong Wang, Boqing Liu, Yu Zhang, Jianguo Hou, Jing Wang, Hua Zhao, Yanyi Wang, Xiaodong Fang, Guojie Zhang, Jian Wang, Xuejun Zhang, Mikkel H. Schierup, Hongli Du, Jun Wang, Xiaoning Wang

Abstract

Non-human primates have emerged as an important resource for the study of human disease and evolution. The characterization of genomic variation between and within non-human primate species could advance the development of genetically defined non-human primate disease models. However, non-human primate specific reagents that would expedite such research, such as exon-capture tools, are lacking. We evaluated the efficiency of using a human exome capture design for the selective enrichment of exonic regions of non-human primates. We compared the exon sequence recovery in nine chimpanzees, two crab-eating macaques and eight Japanese macaques. Over 91% of the target regions were captured in the non-human primate samples, although the specificity of the capture decreased as evolutionary divergence from humans increased. Both intra-specific and inter-specific DNA variants were identified; Sanger-based resequencing validated 85.4% of 41 randomly selected SNPs. Among the short indels identified, a majority (54.6%-77.3%) of the variants resulted in a change of 3 base pairs, consistent with expectations for a selection against frame shift mutations. Taken together, these findings indicate that use of a human design exon-capture array can provide efficient enrichment of non-human primate gene regions. Accordingly, use of the human exon-capture methods provides an attractive, cost-effective approach for the comparative analysis of non-human primate genomes, including gene-based DNA variant discovery.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 7%
Spain 1 2%
Germany 1 2%
Romania 1 2%
Unknown 48 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 27%
Researcher 12 22%
Student > Master 7 13%
Other 5 9%
Student > Bachelor 4 7%
Other 9 16%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 53%
Biochemistry, Genetics and Molecular Biology 8 15%
Computer Science 2 4%
Engineering 2 4%
Business, Management and Accounting 1 2%
Other 8 15%
Unknown 5 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 August 2012.
All research outputs
#7,415,394
of 22,673,450 outputs
Outputs from PLOS ONE
#87,986
of 193,525 outputs
Outputs of similar age
#54,671
of 164,673 outputs
Outputs of similar age from PLOS ONE
#1,615
of 3,977 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 49th percentile – i.e., 49% 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 164,673 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 3,977 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.