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Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits

Overview of attention for article published in Nature Genetics, June 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#41 of 7,623)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
75 news outlets
blogs
7 blogs
twitter
152 X users
facebook
9 Facebook pages
wikipedia
3 Wikipedia pages
googleplus
34 Google+ users
reddit
2 Redditors
video
1 YouTube creator

Readers on

mendeley
332 Mendeley
citeulike
3 CiteULike
Title
Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits
Published in
Nature Genetics, June 2017
DOI 10.1038/ng.3888
Pubmed ID
Authors

Anke R Hammerschlag, Sven Stringer, Christiaan A de Leeuw, Suzanne Sniekers, Erdogan Taskesen, Kyoko Watanabe, Tessa F Blanken, Kim Dekker, Bart H W te Lindert, Rick Wassing, Ingileif Jonsdottir, Gudmar Thorleifsson, Hreinn Stefansson, Thorarinn Gislason, Klaus Berger, Barbara Schormair, Juergen Wellmann, Juliane Winkelmann, Kari Stefansson, Konrad Oexle, Eus J W Van Someren, Danielle Posthuma

Abstract

Persistent insomnia is among the most frequent complaints in general practice. To identify genetic factors for insomnia complaints, we performed a genome-wide association study (GWAS) and a genome-wide gene-based association study (GWGAS) in 113,006 individuals. We identify three loci and seven genes associated with insomnia complaints, with the associations for one locus and five genes supported by joint analysis with an independent sample (n = 7,565). Our top association (MEIS1, P < 5 × 10(-8)) has previously been implicated in restless legs syndrome (RLS). Additional analyses favor the hypothesis that MEIS1 exhibits pleiotropy for insomnia and RLS and show that the observed association with insomnia complaints cannot be explained only by the presence of an RLS subgroup within the cases. Sex-specific analyses suggest that there are different genetic architectures between the sexes in addition to shared genetic factors. We show substantial positive genetic correlation of insomnia complaints with internalizing personality traits and metabolic traits and negative correlation with subjective well-being and educational attainment. These findings provide new insight into the genetic architecture of insomnia.

X Demographics

X Demographics

The data shown below were collected from the profiles of 152 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 332 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Unknown 331 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 20%
Researcher 61 18%
Student > Master 35 11%
Student > Bachelor 25 8%
Other 16 5%
Other 56 17%
Unknown 72 22%
Readers by discipline Count As %
Medicine and Dentistry 54 16%
Agricultural and Biological Sciences 44 13%
Biochemistry, Genetics and Molecular Biology 40 12%
Psychology 35 11%
Neuroscience 34 10%
Other 36 11%
Unknown 89 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 737. 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 16 May 2023.
All research outputs
#27,673
of 25,779,988 outputs
Outputs from Nature Genetics
#41
of 7,623 outputs
Outputs of similar age
#498
of 332,939 outputs
Outputs of similar age from Nature Genetics
#2
of 74 outputs
Altmetric has tracked 25,779,988 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,623 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done particularly well, scoring higher than 99% 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 332,939 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 99% of its contemporaries.
We're also able to compare this research output to 74 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 97% of its contemporaries.