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Use of schizophrenia and bipolar disorder polygenic risk scores to identify psychotic disorders

Overview of attention for article published in British Journal of Psychiatry, August 2018
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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1 blog
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18 X users
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Citations

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39 Dimensions

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111 Mendeley
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Title
Use of schizophrenia and bipolar disorder polygenic risk scores to identify psychotic disorders
Published in
British Journal of Psychiatry, August 2018
DOI 10.1192/bjp.2018.89
Pubmed ID
Authors

Maria Stella Calafato, Johan H. Thygesen, Siri Ranlund, Eirini Zartaloudi, Wiepke Cahn, Benedicto Crespo-Facorro, Álvaro Díez-Revuelta, Marta Di Forti, Genetic Risk and Outcome of Psychosis consortium, Mei-Hua Hall, Conrad Iyegbe, Assen Jablensky, Rene Kahn, Luba Kalaydjieva, Eugenia Kravariti, Kuang Lin, Colm McDonald, Andrew M. McIntosh, Andrew McQuillin, Psychosis Endophenotypes International Consortium, Marco Picchioni, Dan Rujescu, Madiha Shaikh, Timothea Toulopoulou, Jim Van Os, Evangelos Vassos, Muriel Walshe, John Powell, Cathryn M. Lewis, Robin M. Murray, Elvira Bramon, Wellcome Trust Case Control Consortium

Abstract

There is increasing evidence for shared genetic susceptibility between schizophrenia and bipolar disorder. Although genetic variants only convey subtle increases in risk individually, their combination into a polygenic risk score constitutes a strong disease predictor.AimsTo investigate whether schizophrenia and bipolar disorder polygenic risk scores can distinguish people with broadly defined psychosis and their unaffected relatives from controls. Using the latest Psychiatric Genomics Consortium data, we calculated schizophrenia and bipolar disorder polygenic risk scores for 1168 people with psychosis, 552 unaffected relatives and 1472 controls. Patients with broadly defined psychosis had dramatic increases in schizophrenia and bipolar polygenic risk scores, as did their relatives, albeit to a lesser degree. However, the accuracy of predictive models was modest. Although polygenic risk scores are not ready for clinical use, it is hoped that as they are refined they could help towards risk reduction advice and early interventions for psychosis.Declaration of interestR.M.M. has received honoraria for lectures from Janssen, Lundbeck, Lilly, Otsuka and Sunovian.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 20%
Student > Master 13 12%
Researcher 12 11%
Student > Bachelor 10 9%
Student > Postgraduate 7 6%
Other 16 14%
Unknown 31 28%
Readers by discipline Count As %
Medicine and Dentistry 19 17%
Biochemistry, Genetics and Molecular Biology 14 13%
Neuroscience 14 13%
Psychology 12 11%
Agricultural and Biological Sciences 5 5%
Other 6 5%
Unknown 41 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 07 September 2019.
All research outputs
#1,869,443
of 25,481,734 outputs
Outputs from British Journal of Psychiatry
#1,097
of 6,332 outputs
Outputs of similar age
#36,112
of 325,206 outputs
Outputs of similar age from British Journal of Psychiatry
#18
of 64 outputs
Altmetric has tracked 25,481,734 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,332 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done well, scoring higher than 82% 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 325,206 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 88% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.