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Shared genetic control of expression and methylation in peripheral blood

Overview of attention for article published in BMC Genomics, April 2016
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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Title
Shared genetic control of expression and methylation in peripheral blood
Published in
BMC Genomics, April 2016
DOI 10.1186/s12864-016-2498-4
Pubmed ID
Authors

Konstantin Shakhbazov, Joseph E. Powell, Gibran Hemani, Anjali K. Henders, Nicholas G. Martin, Peter M. Visscher, Grant W. Montgomery, Allan F. McRae

Abstract

Expression QTLs and epigenetic marks are often employed to provide an insight into the possible biological mechanisms behind GWAS hits. A substantial proportion of the variation in gene expression and DNA methylation is known to be under genetic control. We address the proportion of genetic control that is shared between these two genomic features. An exhaustive search for pairwise phenotypic correlations between gene expression and DNA methylation in samples from human blood (n = 610) was performed. Of the 5 × 10(9) possible pairwise tests, 0.36 % passed Bonferroni corrected p-value cutoff of 9.9 × 10(-12). We determined that the correlation structure between probe pairs was largely due to blood cell type specificity of the expression and methylation probes. Upon adjustment of the expression and methylation values for observed blood cellular composition (n = 422), the number of probe pairs which survived Bonferroni correction reduced by more than 5400 fold. Of the 614 correlated probe pairs located on the same chromosome, 75 % share at least one methylation and expression QTL at nominal 10(-5) p-value cutoff. Those probe pairs are located within 1Mbp window from each other and have a mean of absolute value of genetic correlation equal to 0.69, further demonstrating the high degree of shared genetic control. Overall, this study demonstrates notable genetic covariance between DNA methylation and gene expression and reaffirms the importance of correcting for cell-counts in studies on non-homogeneous tissues.

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X Demographics

The data shown below were collected from the profiles of 12 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Brazil 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Researcher 10 22%
Student > Doctoral Student 6 13%
Student > Master 5 11%
Professor 4 9%
Other 7 15%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 41%
Biochemistry, Genetics and Molecular Biology 13 28%
Medicine and Dentistry 5 11%
Nursing and Health Professions 1 2%
Computer Science 1 2%
Other 5 11%
Unknown 2 4%
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 22 July 2017.
All research outputs
#2,372,653
of 22,860,626 outputs
Outputs from BMC Genomics
#741
of 10,662 outputs
Outputs of similar age
#40,888
of 301,058 outputs
Outputs of similar age from BMC Genomics
#19
of 249 outputs
Altmetric has tracked 22,860,626 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 10,662 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 93% 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 301,058 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 86% of its contemporaries.
We're also able to compare this research output to 249 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 92% of its contemporaries.