↓ Skip to main content

Molecular genetics of migraine

Overview of attention for article published in Human Genetics, May 2009
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

blogs
1 blog
patent
1 patent
wikipedia
17 Wikipedia pages

Citations

dimensions_citation
247 Dimensions

Readers on

mendeley
231 Mendeley
citeulike
1 CiteULike
Title
Molecular genetics of migraine
Published in
Human Genetics, May 2009
DOI 10.1007/s00439-009-0684-z
Pubmed ID
Authors

Boukje de Vries, Rune R. Frants, Michel D. Ferrari, Arn M. J. M. van den Maagdenberg

Abstract

Migraine is an episodic neurovascular disorder that is clinically divided into two main subtypes that are based on the absence or presence of an aura: migraine without aura (MO) and migraine with aura (MA). Current molecular genetic insight into the pathophysiology of migraine predominantly comes from studies of a rare monogenic subtype of migraine with aura called familial hemiplegic migraine (FHM). Three FHM genes have been identified, which all encode ion transporters, suggesting that disturbances in ion and neurotransmitter balances in the brain are responsible for this migraine type, and possibly the common forms of migraine. Cellular and animal models expressing FHM mutations hint toward neuronal hyperexcitability as the likely underlying disease mechanism. Additional molecular insight into the pathophysiology of migraine may come from other monogenic syndromes (for instance cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy, which is caused by NOTCH3 mutations), in which migraine is prominent. Investigating patients with common forms of migraine has had limited successes. Except for 5',10'-methylenetetrahydrolate reductase, an enzyme in folate metabolism, the large majority of reported genetic associations with candidate migraine genes have not been convincingly replicated. Genetic linkage studies using migraine subtypes as an end diagnosis did not yield gene variants thus far. Clinical heterogeneity in migraine diagnosis may have hampered the identification of such variants. Therefore, the recent introduction of more refined methods of phenotyping, such as latent-class analysis and trait component analysis, may be certainly helpful. Combining the new phenotyping methods with genome-wide association studies may be a successful strategy toward identification of migraine susceptibility genes. Likely the identification of reliable biomarkers for migraine diagnosing will make these efforts even more successful.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 5 2%
United States 3 1%
United Kingdom 2 <1%
Norway 1 <1%
Belgium 1 <1%
Sweden 1 <1%
Spain 1 <1%
Denmark 1 <1%
Unknown 216 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 42 18%
Student > Ph. D. Student 36 16%
Student > Bachelor 26 11%
Researcher 25 11%
Student > Postgraduate 17 7%
Other 43 19%
Unknown 42 18%
Readers by discipline Count As %
Medicine and Dentistry 70 30%
Agricultural and Biological Sciences 42 18%
Neuroscience 22 10%
Biochemistry, Genetics and Molecular Biology 20 9%
Psychology 6 3%
Other 21 9%
Unknown 50 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 04 March 2023.
All research outputs
#2,807,473
of 23,485,204 outputs
Outputs from Human Genetics
#252
of 2,997 outputs
Outputs of similar age
#9,891
of 98,533 outputs
Outputs of similar age from Human Genetics
#7
of 18 outputs
Altmetric has tracked 23,485,204 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,997 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 98,533 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 89% of its contemporaries.
We're also able to compare this research output to 18 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 61% of its contemporaries.