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Joint eQTL assessment of whole blood and dura mater tissue from individuals with Chiari type I malformation

Overview of attention for article published in BMC Genomics, January 2015
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3 tweeters

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3 Dimensions

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27 Mendeley
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Title
Joint eQTL assessment of whole blood and dura mater tissue from individuals with Chiari type I malformation
Published in
BMC Genomics, January 2015
DOI 10.1186/s12864-014-1211-8
Pubmed ID
Authors

Eric F Lock, Karen L Soldano, Melanie E Garrett, Heidi Cope, Christina A Markunas, Herbert Fuchs, Gerald Grant, David B Dunson, Simon G Gregory, Allison E Ashley-Koch

Abstract

BackgroundExpression quantitative trait loci (eQTL) play an important role in the regulation of gene expression. Gene expression levels and eQTLs are expected to vary from tissue to tissue, and therefore multi-tissue analyses are necessary to fully understand complex genetic conditions in humans. Dura mater tissue likely interacts with cranial bone growth and thus may play a role in the etiology of Chiari Type I Malformation (CMI) and related conditions, but it is often inaccessible and its gene expression has not been well studied. A genetic basis to CMI has been established; however, the specific genetic risk factors are not well characterized.ResultsWe present an assessmet of eQTLs for whole blood and dura mater tissue from individuals with CMI. A joint-tissue analysis identified 239 eQTLs in either dura or blood, with 79% of these eQTLs shared by both tissues. Several identified eQTLs were novel and these implicate genes involved in bone development (IPO8, XYLT1, and PRKAR1A), and ribosomal pathways related to marrow and bone dysfunction, as potential candidates in the development of CMI.ConclusionsDespite strong overall heterogeneity in expression levels between blood and dura, the majority of cis-eQTLs are shared by both tissues. The power to detect shared eQTLs was improved by using an integrative statistical approach. The identified tissue-specific and shared eQTLs provide new insight into the genetic basis for CMI and related conditions.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Researcher 7 26%
Student > Bachelor 3 11%
Student > Doctoral Student 2 7%
Student > Master 2 7%
Other 5 19%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 41%
Biochemistry, Genetics and Molecular Biology 4 15%
Medicine and Dentistry 4 15%
Neuroscience 2 7%
Computer Science 2 7%
Other 2 7%
Unknown 2 7%

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 25 January 2015.
All research outputs
#7,459,403
of 12,373,620 outputs
Outputs from BMC Genomics
#4,233
of 7,313 outputs
Outputs of similar age
#126,999
of 264,950 outputs
Outputs of similar age from BMC Genomics
#160
of 264 outputs
Altmetric has tracked 12,373,620 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 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 37th percentile – i.e., 37% 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 264,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 264 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.