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Associations between Polygenic Risk for Psychiatric Disorders and Substance Involvement

Overview of attention for article published in Frontiers in Genetics, August 2016
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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 (#35 of 14,019)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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13 news outlets
blogs
7 blogs
twitter
25 X users
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3 Facebook pages
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
192 Mendeley
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Title
Associations between Polygenic Risk for Psychiatric Disorders and Substance Involvement
Published in
Frontiers in Genetics, August 2016
DOI 10.3389/fgene.2016.00149
Pubmed ID
Authors

Caitlin E. Carey, Arpana Agrawal, Kathleen K. Bucholz, Sarah M. Hartz, Michael T. Lynskey, Elliot C. Nelson, Laura J. Bierut, Ryan Bogdan

Abstract

Despite evidence of substantial comorbidity between psychiatric disorders and substance involvement, the extent to which common genetic factors contribute to their co-occurrence remains understudied. In the current study, we tested for associations between polygenic risk for psychiatric disorders and substance involvement (i.e., ranging from ever-use to severe dependence) among 2573 non-Hispanic European-American participants from the Study of Addiction: Genetics and Environment. Polygenic risk scores (PRS) for cross-disorder psychopathology (CROSS) were generated based on the Psychiatric Genomics Consortium's Cross-Disorder meta-analysis and then tested for associations with a factor representing general liability to alcohol, cannabis, cocaine, nicotine, and opioid involvement (GENSUB). Follow-up analyses evaluated specific associations between each of the five psychiatric disorders which comprised CROSS-attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (AUT), bipolar disorder (BIP), major depressive disorder (MDD), and schizophrenia (SCZ)-and involvement with each component substance included in GENSUB. CROSS PRS explained 1.10% of variance in GENSUB in our sample (p < 0.001). After correction for multiple testing in our follow-up analyses of polygenic risk for each individual disorder predicting involvement with each component substance, associations remained between: (A) MDD PRS and non-problem cannabis use, (B) MDD PRS and severe cocaine dependence, (C) SCZ PRS and non-problem cannabis use and severe cannabis dependence, and (D) SCZ PRS and severe cocaine dependence. These results suggest that shared covariance from common genetic variation contributes to psychiatric and substance involvement comorbidity.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 191 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 16%
Student > Ph. D. Student 27 14%
Student > Master 25 13%
Student > Bachelor 21 11%
Student > Doctoral Student 15 8%
Other 27 14%
Unknown 47 24%
Readers by discipline Count As %
Psychology 40 21%
Medicine and Dentistry 24 13%
Biochemistry, Genetics and Molecular Biology 15 8%
Neuroscience 10 5%
Nursing and Health Professions 8 4%
Other 30 16%
Unknown 65 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 155. 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 13 November 2023.
All research outputs
#284,018
of 26,239,416 outputs
Outputs from Frontiers in Genetics
#35
of 14,019 outputs
Outputs of similar age
#5,205
of 344,392 outputs
Outputs of similar age from Frontiers in Genetics
#1
of 49 outputs
Altmetric has tracked 26,239,416 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,019 research outputs from this source. They receive a mean Attention Score of 3.9. 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 344,392 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 98% of its contemporaries.
We're also able to compare this research output to 49 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.