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Detection of gene–environment interaction in pedigree data using genome-wide genotypes

Overview of attention for article published in European Journal of Human Genetics, July 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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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1 news outlet
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13 X users
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29 Mendeley
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Title
Detection of gene–environment interaction in pedigree data using genome-wide genotypes
Published in
European Journal of Human Genetics, July 2016
DOI 10.1038/ejhg.2016.88
Pubmed ID
Authors

Michel G Nivard, Christel M Middeldorp, Gitta Lubke, Jouke-Jan Hottenga, Abdel Abdellaoui, Dorret I Boomsma, Conor V Dolan

Abstract

Heritability may be estimated using phenotypic data collected in relatives or in distantly related individuals using genome-wide single nucleotide polymorphism (SNP) data. We combined these approaches by re-parameterizing the model proposed by Zaitlen et al and extended this model to include moderation of (total and SNP-based) genetic and environmental variance components by a measured moderator. By means of data simulation, we demonstrated that the type 1 error rates of the proposed test are correct and parameter estimates are accurate. As an application, we considered the moderation by age or year of birth of variance components associated with body mass index (BMI), height, attention problems (AP), and symptoms of anxiety and depression. The genetic variance of BMI was found to increase with age, but the environmental variance displayed a greater increase with age, resulting in a proportional decrease of the heritability of BMI. Environmental variance of height increased with year of birth. The environmental variance of AP increased with age. These results illustrate the assessment of moderation of environmental and genetic effects, when estimating heritability from combined SNP and family data. The assessment of moderation of genetic and environmental variance will enhance our understanding of the genetic architecture of complex traits.European Journal of Human Genetics advance online publication, 20 July 2016; doi:10.1038/ejhg.2016.88.

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The data shown below were collected from the profiles of 13 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Student > Ph. D. Student 4 14%
Student > Doctoral Student 3 10%
Researcher 3 10%
Student > Bachelor 3 10%
Other 4 14%
Unknown 7 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 21%
Psychology 5 17%
Agricultural and Biological Sciences 5 17%
Social Sciences 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 1 3%
Unknown 9 31%
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 26 August 2020.
All research outputs
#2,237,535
of 25,196,456 outputs
Outputs from European Journal of Human Genetics
#448
of 3,656 outputs
Outputs of similar age
#40,267
of 373,172 outputs
Outputs of similar age from European Journal of Human Genetics
#4
of 51 outputs
Altmetric has tracked 25,196,456 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 3,656 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 373,172 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 89% of its contemporaries.
We're also able to compare this research output to 51 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.