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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gene co-expression analysis identifies brain regions and cell types involved in migraine pathophysiology: a GWAS-based study using the Allen Human Brain Atlas
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|---|---|
| Published in |
Human Genetics, February 2016
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| DOI | 10.1007/s00439-016-1638-x |
| Pubmed ID | |
| Authors |
Else Eising, Sjoerd M. H. Huisman, Ahmed Mahfouz, Lisanne S. Vijfhuizen, Verneri Anttila, Bendik S. Winsvold, Tobias Kurth, M. Arfan Ikram, Tobias Freilinger, Jaakko Kaprio, Dorret I. Boomsma, Cornelia M. van Duijn, Marjo-Riitta R. Järvelin, John-Anker Zwart, Lydia Quaye, David P. Strachan, Christian Kubisch, Martin Dichgans, George Davey Smith, Kari Stefansson, Aarno Palotie, Daniel I. Chasman, Michel D. Ferrari, Gisela M. Terwindt, Boukje de Vries, Dale R. Nyholt, Boudewijn P. F. Lelieveldt, Arn M. J. M. van den Maagdenberg, Marcel J. T. Reinders |
| Abstract |
Migraine is a common disabling neurovascular brain disorder typically characterised by attacks of severe headache and associated with autonomic and neurological symptoms. Migraine is caused by an interplay of genetic and environmental factors. Genome-wide association studies (GWAS) have identified over a dozen genetic loci associated with migraine. Here, we integrated migraine GWAS data with high-resolution spatial gene expression data of normal adult brains from the Allen Human Brain Atlas to identify specific brain regions and molecular pathways that are possibly involved in migraine pathophysiology. To this end, we used two complementary methods. In GWAS data from 23,285 migraine cases and 95,425 controls, we first studied modules of co-expressed genes that were calculated based on human brain expression data for enrichment of genes that showed association with migraine. Enrichment of a migraine GWAS signal was found for five modules that suggest involvement in migraine pathophysiology of: (i) neurotransmission, protein catabolism and mitochondria in the cortex; (ii) transcription regulation in the cortex and cerebellum; and (iii) oligodendrocytes and mitochondria in subcortical areas. Second, we used the high-confidence genes from the migraine GWAS as a basis to construct local migraine-related co-expression gene networks. Signatures of all brain regions and pathways that were prominent in the first method also surfaced in the second method, thus providing support that these brain regions and pathways are indeed involved in migraine pathophysiology. |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 33% |
| Spain | 2 | 11% |
| United Kingdom | 2 | 11% |
| Netherlands | 2 | 11% |
| Kuwait | 2 | 11% |
| Brazil | 1 | 6% |
| Poland | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 1 | 6% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 50% |
| Scientists | 5 | 28% |
| Science communicators (journalists, bloggers, editors) | 3 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| Finland | 1 | <1% |
| China | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 114 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 18% |
| Researcher | 21 | 18% |
| Student > Master | 15 | 13% |
| Student > Bachelor | 12 | 10% |
| Professor | 8 | 7% |
| Other | 21 | 18% |
| Unknown | 21 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 18% |
| Agricultural and Biological Sciences | 19 | 16% |
| Biochemistry, Genetics and Molecular Biology | 18 | 15% |
| Neuroscience | 10 | 8% |
| Computer Science | 7 | 6% |
| Other | 15 | 13% |
| Unknown | 28 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 November 2016.
All research outputs
#2,847,326
of 23,313,051 outputs
Outputs from Human Genetics
#258
of 2,980 outputs
Outputs of similar age
#45,978
of 299,917 outputs
Outputs of similar age from Human Genetics
#5
of 23 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,980 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 91% 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 299,917 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 84% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.