↓ Skip to main content

Large-scale mutational analysis in the EXT1 and EXT2 genes for Japanese patients with multiple osteochondromas

Overview of attention for article published in BMC Genomic Data, March 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
23 Mendeley
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
Large-scale mutational analysis in the EXT1 and EXT2 genes for Japanese patients with multiple osteochondromas
Published in
BMC Genomic Data, March 2016
DOI 10.1186/s12863-016-0359-4
Pubmed ID
Authors

Daichi Ishimaru, Masanori Gotoh, Shinichiro Takayama, Rika Kosaki, Yoshihiro Matsumoto, Hisashi Narimatsu, Takashi Sato, Koji Kimata, Haruhiko Akiyama, Katsuji Shimizu, Kazu Matsumoto

Abstract

Multiple osteochondroma (MO) is an autosomal dominant skeletal disorder characterized by the formation of multiple osteochondromas, and exostosin-1 (EXT1) and exostosin-2 (EXT2) are major causative genes in MO. In this study, we evaluated the genetic backgrounds and mutational patterns in Japanese families with MO. We evaluated 112 patients in 71 families with MO. Genomic DNA was isolated from peripheral blood leucocytes. The exons and exon/intron junctions of EXT1 and EXT2 were directly sequenced after PCR amplification. Fifty-two mutations in 47 families with MO in either EXT1 or EXT2, and 42.3 % (22/52) of mutations were novel mutations. Twenty-nine families (40.8 %) had mutations in EXT1, and 15 families (21.1 %) had mutations in EXT2. Interestingly, three families (4.2 %) had mutations in both EXT1 and EXT2. Twenty-four families (33.8 %) did not exhibit mutations in either EXT1 or EXT2. With regard to the types of mutations identified, 59.6 % of mutations were inactivating mutations, and 38.5 % of mutations were missense mutations. We found that the prevalence of EXT1 mutations was greater than that of EXT2 mutations in Japanese MO families. Additionally, we identified 22 novel EXT1 and EXT2 mutations in this Japanese MO cohort. This study represents the variety of genotype in MO.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 26%
Student > Ph. D. Student 2 9%
Student > Postgraduate 2 9%
Student > Master 2 9%
Lecturer 1 4%
Other 4 17%
Unknown 6 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 26%
Medicine and Dentistry 6 26%
Agricultural and Biological Sciences 2 9%
Nursing and Health Professions 1 4%
Arts and Humanities 1 4%
Other 1 4%
Unknown 6 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 March 2016.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from BMC Genomic Data
#786
of 1,204 outputs
Outputs of similar age
#218,219
of 314,757 outputs
Outputs of similar age from BMC Genomic Data
#23
of 40 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 28th percentile – i.e., 28% 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 314,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.