↓ Skip to main content

Dove Medical Press

Evidence for single nucleotide polymorphisms and their association with bipolar disorder

Overview of attention for article published in Neuropsychiatric Disease and Treatment, October 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
103 Mendeley
citeulike
1 CiteULike
Title
Evidence for single nucleotide polymorphisms and their association with bipolar disorder
Published in
Neuropsychiatric Disease and Treatment, October 2013
DOI 10.2147/ndt.s28117
Pubmed ID
Authors

Aleksandra Szczepankiewicz

Abstract

Bipolar disorder (BD) is a complex disorder with a number of susceptibility genes and environmental risk factors involved in its pathogenesis. In recent years, huge progress has been made in molecular techniques for genetic studies, which have enabled identification of numerous genomic regions and genetic variants implicated in BD across populations. Despite the abundance of genetic findings, the results have often been inconsistent and not replicated for many candidate genes/single nucleotide polymorphisms (SNPs). Therefore, the aim of the review presented here is to summarize the most important data reported so far in candidate gene and genome-wide association studies. Taking into account the abundance of association data, this review focuses on the most extensively studied genes and polymorphisms reported so far for BD to present the most promising genomic regions/SNPs involved in BD. The review of association data reveals evidence for several genes (SLC6A4/5-HTT [serotonin transporter gene], BDNF [brain-derived neurotrophic factor], DAOA [D-amino acid oxidase activator], DTNBP1 [dysbindin], NRG1 [neuregulin 1], DISC1 [disrupted in schizophrenia 1]) to be crucial candidates in BD, whereas numerous genome-wide association studies conducted in BD indicate polymorphisms in two genes (CACNA1C [calcium channel, voltage-dependent, L type, alpha 1C subunit], ANK3 [ankyrin 3]) replicated for association with BD in most of these studies. Nevertheless, further studies focusing on interactions between multiple candidate genes/SNPs, as well as systems biology and pathway analyses are necessary to integrate and improve the way we analyze the currently available association data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
Germany 1 <1%
Unknown 99 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 22%
Student > Bachelor 15 15%
Student > Ph. D. Student 11 11%
Student > Doctoral Student 9 9%
Student > Master 9 9%
Other 18 17%
Unknown 18 17%
Readers by discipline Count As %
Medicine and Dentistry 20 19%
Neuroscience 18 17%
Agricultural and Biological Sciences 17 17%
Biochemistry, Genetics and Molecular Biology 10 10%
Psychology 7 7%
Other 9 9%
Unknown 22 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 October 2013.
All research outputs
#16,047,334
of 25,374,647 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,583
of 3,132 outputs
Outputs of similar age
#126,477
of 219,852 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#25
of 60 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 219,852 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 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 51% of its contemporaries.