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Methylation quantitative trait loci (meQTLs) are consistently detected across ancestry, developmental stage, and tissue type

Overview of attention for article published in BMC Genomics, February 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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Title
Methylation quantitative trait loci (meQTLs) are consistently detected across ancestry, developmental stage, and tissue type
Published in
BMC Genomics, February 2014
DOI 10.1186/1471-2164-15-145
Pubmed ID
Authors

Alicia K Smith, Varun Kilaru, Mehmet Kocak, Lynn M Almli, Kristina B Mercer, Kerry J Ressler, Frances A Tylavsky, Karen N Conneely

Abstract

Individual genotypes at specific loci can result in different patterns of DNA methylation. These methylation quantitative trait loci (meQTLs) influence methylation across extended genomic regions and may underlie direct SNP associations or gene-environment interactions. We hypothesized that the detection of meQTLs varies with ancestral population, developmental stage, and tissue type. We explored this by analyzing seven datasets that varied by ancestry (African American vs. Caucasian), developmental stage (neonate vs. adult), and tissue type (blood vs. four regions of postmortem brain) with genome-wide DNA methylation and SNP data. We tested for meQTLs by constructing linear regression models of methylation levels at each CpG site on SNP genotypes within 50 kb under an additive model controlling for multiple tests.

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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 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Netherlands 1 <1%
South Africa 1 <1%
Canada 1 <1%
New Zealand 1 <1%
Nigeria 1 <1%
United States 1 <1%
Unknown 258 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 78 29%
Researcher 37 14%
Student > Bachelor 25 9%
Student > Master 25 9%
Student > Doctoral Student 21 8%
Other 43 16%
Unknown 36 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 28%
Biochemistry, Genetics and Molecular Biology 66 25%
Medicine and Dentistry 29 11%
Neuroscience 12 5%
Psychology 8 3%
Other 30 11%
Unknown 47 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 12 October 2023.
All research outputs
#2,752,218
of 25,373,627 outputs
Outputs from BMC Genomics
#805
of 11,244 outputs
Outputs of similar age
#27,324
of 239,323 outputs
Outputs of similar age from BMC Genomics
#13
of 223 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% of its peers.
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 239,323 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 223 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.