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Toward a Deeper Understanding of the Genetics of Bipolar Disorder

Overview of attention for article published in Frontiers in Psychiatry, August 2015
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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5 X users
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1 Google+ user

Citations

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99 Mendeley
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Title
Toward a Deeper Understanding of the Genetics of Bipolar Disorder
Published in
Frontiers in Psychiatry, August 2015
DOI 10.3389/fpsyt.2015.00105
Pubmed ID
Authors

Berit Kerner

Abstract

Bipolar disorder is a common, complex psychiatric disorder characterized by mania and depression. The disease aggregates in families, but despite much effort, it has been difficult to delineate the basic genetic model or identify specific genetic risk factors. Not only single gene Mendelian transmission and common variant hypotheses but also multivariate threshold models and oligogenic quasi-Mendelian modes of inheritance have dominated the discussion at times. Almost complete sequence information of the human genome and falling sequencing costs now offer the opportunity to test these models in families in which the disorder is transmitted over several generations. Exome-wide sequencing studies have revealed an astonishing number of rare and potentially damaging mutations in brain-expressed genes that could have contributed to the disease manifestation. However, the statistical analysis of these data has been challenging, because genetic risk factors displayed a high degree of dissimilarity across families. This scenario is not unique to bipolar disorder, but similar results have also been found in schizophrenia, a potentially related psychiatric disorder. Recently, our group has published data which supported an oligogenic genetic model of transmission in a family with bipolar disorder. In this family, three affected siblings shared rare, damaging mutations in multiple genes, which were linked to stress response pathways. These pathways are also the target for drugs frequently used to treat bipolar disorder. This article discusses these findings in the context of previously proclaimed disease models and suggests future research directions, including biological confirmation and phenotype stratification as an approach to disease heterogeneity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 98 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 18%
Student > Master 17 17%
Researcher 15 15%
Student > Bachelor 8 8%
Student > Doctoral Student 6 6%
Other 18 18%
Unknown 17 17%
Readers by discipline Count As %
Medicine and Dentistry 20 20%
Psychology 15 15%
Neuroscience 14 14%
Agricultural and Biological Sciences 11 11%
Biochemistry, Genetics and Molecular Biology 6 6%
Other 9 9%
Unknown 24 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 March 2022.
All research outputs
#6,171,045
of 23,365,820 outputs
Outputs from Frontiers in Psychiatry
#2,663
of 10,481 outputs
Outputs of similar age
#69,700
of 265,187 outputs
Outputs of similar age from Frontiers in Psychiatry
#12
of 37 outputs
Altmetric has tracked 23,365,820 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,481 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 74% 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 265,187 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 37 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 67% of its contemporaries.