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Leveraging molecular quantitative trait loci to understand the genetic architecture of diseases and complex traits

Overview of attention for article published in Nature Genetics, June 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 news outlet
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74 X users
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1 Google+ user

Citations

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159 Dimensions

Readers on

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233 Mendeley
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2 CiteULike
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Title
Leveraging molecular quantitative trait loci to understand the genetic architecture of diseases and complex traits
Published in
Nature Genetics, June 2018
DOI 10.1038/s41588-018-0148-2
Pubmed ID
Authors

Farhad Hormozdiari, Steven Gazal, Bryce van de Geijn, Hilary K. Finucane, Chelsea J.-T. Ju, Po-Ru Loh, Armin Schoech, Yakir Reshef, Xuanyao Liu, Luke O’Connor, Alexander Gusev, Eleazar Eskin, Alkes L. Price

Abstract

There is increasing evidence that many risk loci found using genome-wide association studies are molecular quantitative trait loci (QTLs). Here we introduce a new set of functional annotations based on causal posterior probabilities of fine-mapped molecular cis-QTLs, using data from the Genotype-Tissue Expression (GTEx) and BLUEPRINT consortia. We show that these annotations are more strongly enriched for heritability (5.84× for eQTLs; P = 1.19 × 10-31) across 41 diseases and complex traits than annotations containing all significant molecular QTLs (1.80× for expression (e)QTLs). eQTL annotations obtained by meta-analyzing all GTEx tissues generally performed best, whereas tissue-specific eQTL annotations produced stronger enrichments for blood- and brain-related diseases and traits. eQTL annotations restricted to loss-of-function intolerant genes were even more enriched for heritability (17.06×; P = 1.20 × 10-35). All molecular QTLs except splicing QTLs remained significantly enriched in joint analysis, indicating that each of these annotations is uniquely informative for disease and complex trait architectures.

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X Demographics

The data shown below were collected from the profiles of 74 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 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 233 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 25%
Researcher 55 24%
Student > Doctoral Student 15 6%
Student > Bachelor 12 5%
Student > Master 11 5%
Other 35 15%
Unknown 47 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 90 39%
Agricultural and Biological Sciences 46 20%
Medicine and Dentistry 10 4%
Engineering 6 3%
Neuroscience 6 3%
Other 22 9%
Unknown 53 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 03 August 2022.
All research outputs
#830,136
of 24,938,276 outputs
Outputs from Nature Genetics
#1,519
of 7,510 outputs
Outputs of similar age
#18,281
of 335,304 outputs
Outputs of similar age from Nature Genetics
#41
of 67 outputs
Altmetric has tracked 24,938,276 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,510 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.9. This one has done well, scoring higher than 79% 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 335,304 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 94% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.