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Investigating the relationship between mitochondrial genetic variation and cardiovascular-related traits to develop a framework for mitochondrial phenome-wide association studies

Overview of attention for article published in BioData Mining, April 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

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4 tweeters

Citations

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15 Dimensions

Readers on

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44 Mendeley
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Title
Investigating the relationship between mitochondrial genetic variation and cardiovascular-related traits to develop a framework for mitochondrial phenome-wide association studies
Published in
BioData Mining, April 2014
DOI 10.1186/1756-0381-7-6
Pubmed ID
Authors

Sabrina L Mitchell, Jacob B Hall, Robert J Goodloe, Jonathan Boston, Eric Farber-Eger, Sarah A Pendergrass, William S Bush, Dana C Crawford

Abstract

Mitochondria play a critical role in the cell and have DNA independent of the nuclear genome. There is much evidence that mitochondrial DNA (mtDNA) variation plays a role in human health and disease, however, this area of investigation has lagged behind research into the role of nuclear genetic variation on complex traits and phenotypic outcomes. Phenome-wide association studies (PheWAS) investigate the association between a wide range of traits and genetic variation. To date, this approach has not been used to investigate the relationship between mtDNA variants and phenotypic variation. Herein, we describe the development of a PheWAS framework for mtDNA variants (mt-PheWAS). Using the Metabochip custom genotyping array, nuclear and mitochondrial DNA variants were genotyped in 11,519 African Americans from the Vanderbilt University biorepository, BioVU. We employed both polygenic modeling and association testing with mitochondrial single nucleotide polymorphisms (mtSNPs) to explore the relationship between mtDNA variants and a group of eight cardiovascular-related traits obtained from de-identified electronic medical records within BioVU.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 7%
Canada 1 2%
Unknown 40 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 32%
Researcher 12 27%
Student > Postgraduate 5 11%
Student > Master 5 11%
Student > Doctoral Student 3 7%
Other 3 7%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 34%
Biochemistry, Genetics and Molecular Biology 9 20%
Medicine and Dentistry 9 20%
Computer Science 2 5%
Social Sciences 2 5%
Other 2 5%
Unknown 5 11%

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 25 April 2017.
All research outputs
#9,864,975
of 17,803,527 outputs
Outputs from BioData Mining
#165
of 272 outputs
Outputs of similar age
#86,957
of 199,022 outputs
Outputs of similar age from BioData Mining
#1
of 1 outputs
Altmetric has tracked 17,803,527 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 272 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 38th percentile – i.e., 38% 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 199,022 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them