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Copy number variants encompassing Mendelian disease genes in a large multigenerational family segregating bipolar disorder

Overview of attention for article published in BMC Genomic Data, March 2015
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Title
Copy number variants encompassing Mendelian disease genes in a large multigenerational family segregating bipolar disorder
Published in
BMC Genomic Data, March 2015
DOI 10.1186/s12863-015-0184-1
Pubmed ID
Authors

Rachel L Kember, Benjamin Georgi, Joan E Bailey-Wilson, Dwight Stambolian, Steven M Paul, Maja Bućan

Abstract

Bipolar affective disorder (BP) is a common, highly heritable psychiatric disorder characterized by periods of depression and mania. Using dense SNP genotype data, we characterized CNVs in 388 members of an Old Order Amish Pedigree with bipolar disorder. We identified CNV regions arising from common ancestral mutations by utilizing the pedigree information. By combining this analysis with whole genome sequence data in the same individuals, we also explored the role of compound heterozygosity. Here we describe 541 inherited CNV regions, of which 268 are rare in a control population of European origin but present in a large number of Amish individuals. In addition, we highlight a set of CNVs found at higher frequencies in BP individuals, and within genes known to play a role in human development and disease. As in prior reports, we find no evidence for an increased burden of CNVs in BP individuals, but we report a trend towards a higher burden of CNVs in known Mendelian disease loci in bipolar individuals (BPI and BPII, p = 0.06). We conclude that CNVs may be contributing factors in the phenotypic presentation of mood disorders and co-morbid medical conditions in this family. These results reinforce the hypothesis of a complex genetic architecture underlying BP disorder, and suggest that the role of CNVs should continue to be investigated in BP data sets.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 6%
United States 2 6%
Brazil 1 3%
Unknown 30 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 31%
Student > Ph. D. Student 5 14%
Student > Master 4 11%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 5 14%
Unknown 5 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 20%
Agricultural and Biological Sciences 5 14%
Medicine and Dentistry 5 14%
Neuroscience 3 9%
Computer Science 2 6%
Other 4 11%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 January 2016.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from BMC Genomic Data
#786
of 1,204 outputs
Outputs of similar age
#192,577
of 277,382 outputs
Outputs of similar age from BMC Genomic Data
#18
of 31 outputs
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