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The Brisbane Systems Genetics Study: Genetical Genomics Meets Complex Trait Genetics

Overview of attention for article published in PLOS ONE, April 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
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7 X users
patent
1 patent

Citations

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84 Dimensions

Readers on

mendeley
106 Mendeley
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1 CiteULike
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Title
The Brisbane Systems Genetics Study: Genetical Genomics Meets Complex Trait Genetics
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035430
Pubmed ID
Authors

Joseph E. Powell, Anjali K. Henders, Allan F. McRae, Anthony Caracella, Sara Smith, Margaret J. Wright, John B. Whitfield, Emmanouil T. Dermitzakis, Nicholas G. Martin, Peter M. Visscher, Grant W. Montgomery

Abstract

There is growing evidence that genetic risk factors for common disease are caused by hereditary changes of gene regulation acting in complex pathways. Clearly understanding the molecular genetic relationships between genetic control of gene expression and its effect on complex diseases is essential. Here we describe the Brisbane Systems Genetics Study (BSGS), a family-based study that will be used to elucidate the genetic factors affecting gene expression and the role of gene regulation in mediating endophenotypes and complex diseases.BSGS comprises of a total of 962 individuals from 314 families, for which we have high-density genotype, gene expression and phenotypic data. Families consist of combinations of both monozygotic and dizygotic twin pairs, their siblings, and, for 72 families, both parents. A significant advantage of the inclusion of parents is improved power to disentangle environmental, additive genetic and non-additive genetic effects of gene expression and measured phenotypes. Furthermore, it allows for the estimation of parent-of-origin effects, something that has not previously been systematically investigated in human genetical genomics studies. Measured phenotypes available within the BSGS include blood phenotypes and biochemical traits measured from components of the tissue sample in which transcription levels are determined, providing an ideal test case for systems genetics approaches.We report results from an expression quantitative trait loci (eQTL) analysis using 862 individuals from BSGS to test for associations between expression levels of 17,926 probes and 528,509 SNP genotypes. At a study wide significance level approximately 15,000 associations were observed between expression levels and SNP genotypes. These associations corresponded to a total of 2,081 expression quantitative trait loci (eQTL) involving 1,503 probes. The majority of identified eQTL (87%) were located within cis-regions.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
New Zealand 1 <1%
Denmark 1 <1%
Italy 1 <1%
Unknown 101 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 30%
Student > Ph. D. Student 31 29%
Student > Master 8 8%
Professor 8 8%
Other 6 6%
Other 18 17%
Unknown 3 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 50%
Biochemistry, Genetics and Molecular Biology 25 24%
Medicine and Dentistry 5 5%
Psychology 4 4%
Computer Science 3 3%
Other 10 9%
Unknown 6 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 15 February 2022.
All research outputs
#1,949,541
of 23,122,481 outputs
Outputs from PLOS ONE
#24,879
of 197,356 outputs
Outputs of similar age
#12,301
of 164,334 outputs
Outputs of similar age from PLOS ONE
#423
of 3,748 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 197,356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done well, scoring higher than 87% 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 164,334 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 3,748 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.