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Genome-wide association study of bipolar disorder in European American and African American individuals

Overview of attention for article published in Molecular Psychiatry, June 2009
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 X user
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4 patents
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1 Wikipedia page

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188 Mendeley
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2 CiteULike
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Article details
Title
Genome-wide association study of bipolar disorder in European American and African American individuals
Published in
Molecular Psychiatry, June 2009
DOI 10.1038/mp.2009.43
Pubmed ID
Authors
Abstract

To identify bipolar disorder (BD) genetic susceptibility factors, we conducted two genome-wide association (GWA) studies: one involving a sample of individuals of European ancestry (EA; n=1001 cases; n=1033 controls), and one involving a sample of individuals of African ancestry (AA; n=345 cases; n=670 controls). For the EA sample, single-nucleotide polymorphisms (SNPs) with the strongest statistical evidence for association included rs5907577 in an intergenic region at Xq27.1 (P=1.6 x 10(-6)) and rs10193871 in NAP5 at 2q21.2 (P=9.8 x 10(-6)). For the AA sample, SNPs with the strongest statistical evidence for association included rs2111504 in DPY19L3 at 19q13.11 (P=1.5 x 10(-6)) and rs2769605 in NTRK2 at 9q21.33 (P=4.5 x 10(-5)). We also investigated whether we could provide support for three regions previously associated with BD, and we showed that the ANK3 region replicates in our sample, along with some support for C15Orf53; other evidence implicates BD candidate genes such as SLITRK2. We also tested the hypothesis that BD susceptibility variants exhibit genetic background-dependent effects. SNPs with the strongest statistical evidence for genetic background effects included rs11208285 in ROR1 at 1p31.3 (P=1.4 x 10(-6)), rs4657247 in RGS5 at 1q23.3 (P=4.1 x 10(-6)), and rs7078071 in BTBD16 at 10q26.13 (P=4.5 x 10(-6)). This study is the first to conduct GWA of BD in individuals of AA and suggests that genetic variations that contribute to BD may vary as a function of ancestry.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Germany 4 2%
United Kingdom 2 1%
United States 1 <1%
Italy 1 <1%
Hungary 1 <1%
China 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 176 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 35 19%
Student > Ph. D. Student 27 14%
Student > Master 18 10%
Professor 15 8%
Student > Bachelor 14 7%
Other 41 22%
Unknown 38 20%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 53 28%
Medicine and Dentistry 25 13%
Biochemistry, Genetics and Molecular Biology 23 12%
Psychology 13 7%
Neuroscience 11 6%
Other 18 10%
Unknown 45 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 12 December 2025.
All research outputs
#4,960,105
of 34,239,186 outputs
Outputs from Molecular Psychiatry
#2,842
of 5,932 outputs
Outputs of similar age
#22,161
of 178,647 outputs
Outputs of similar age from Molecular Psychiatry
#10
of 22 outputs
Altmetric has tracked 34,239,186 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,932 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. This one has gotten more attention than average, scoring higher than 51% 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 178,647 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 87% of its contemporaries.
We're also able to compare this research output to 22 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 50% of its contemporaries.