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Functional genomics of candidate genes derived from genome-wide association studies for five common neurological diseases

Overview of attention for article published in International Journal of Neuroscience, February 2016
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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1 news outlet
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6 X users

Citations

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15 Dimensions

Readers on

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41 Mendeley
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3 CiteULike
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Title
Functional genomics of candidate genes derived from genome-wide association studies for five common neurological diseases
Published in
International Journal of Neuroscience, February 2016
DOI 10.3109/00207454.2016.1149172
Pubmed ID
Authors

Gina P. Guio-Vega, Diego A. Forero

Abstract

Recent genome-wide association studies (GWAS) are identifying novel candidate genes for several neurological diseases (NDs). However, a global functional analysis of those genes derived from GWAS for NDs is missing. We explored the genomic and functional features of novel candidate genes for five common NDs: Alzheimer's disease, Parkinson's disease, Amyotrophic lateral sclerosis, Stroke and Migraine. A functional enrichment analysis was performed for GWAS-derived genes, for categories such as KEGG pathways, gene expression, Interpro domains, transcription factor binding sites, gene ontology (GO) terms and miRNA targets. An analysis of protein-protein interactions (PPI) was carried out. 642 unique SNPs were identified for the five NDs and 2.3% of them were nsSNPs. There were no common SNPs for all 5 NDs and 8 genes were associated with more than one ND. The enrichment analysis showed significant values for several GO categories, such as cell adhesion and location in neurites and for expression in prefrontal cortex. An analysis of protein-protein interactions showed the evidence of a large component. 51 of these GWAS-derived genes are known to be potentially druggable and 12 are known to harbor mutations for neuropsychiatric disorders. Our results suggest that there is little overlap between the genes identified in GWAS for five common NDs. Identification of functional categories in the GWAS-derived candidate genes for common NDs could lead to a better understanding of their functional consequences and could be useful for the future discovery of additional genetic risk factors for those diseases.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Researcher 7 17%
Student > Bachelor 5 12%
Student > Ph. D. Student 4 10%
Student > Doctoral Student 2 5%
Other 7 17%
Unknown 9 22%
Readers by discipline Count As %
Neuroscience 8 20%
Biochemistry, Genetics and Molecular Biology 6 15%
Agricultural and Biological Sciences 5 12%
Medicine and Dentistry 5 12%
Nursing and Health Professions 2 5%
Other 5 12%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 18 February 2016.
All research outputs
#2,732,727
of 25,373,627 outputs
Outputs from International Journal of Neuroscience
#99
of 1,411 outputs
Outputs of similar age
#41,831
of 311,945 outputs
Outputs of similar age from International Journal of Neuroscience
#3
of 20 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,411 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 93% 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 311,945 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 86% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.