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The NRP1 migraine risk variant shows evidence of association with menstrual migraine

Overview of attention for article published in The Journal of Headache and Pain, April 2018
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Title
The NRP1 migraine risk variant shows evidence of association with menstrual migraine
Published in
The Journal of Headache and Pain, April 2018
DOI 10.1186/s10194-018-0857-z
Pubmed ID
Authors

Charmaine E. Pollock, Heidi G. Sutherland, Bridget H. Maher, Rodney A. Lea, Larisa M. Haupt, Alison Frith, E. Anne MacGregor, Lyn R. Griffiths

Abstract

In 2016, a large meta-analysis brought the number of susceptibility loci for migraine to 38. While sub-type analysis for migraine without aura (MO) and migraine with aura (MA) found some loci showed specificity to MO, the study did not test the loci with respect to other subtypes of migraine. This study aimed to test the hypothesis that single nucleotide polymorphisms (SNPs) robustly associated with migraine are individually or collectively associated with menstrual migraine (MM). Genotyping of migraine susceptibility SNPs was conducted using the Agena MassARRAY platform on DNA samples from 235 women diagnosed with menstrual migraine as per International Classification for Headache Disorders II (ICHD-II) criteria and 140 controls. Alternative genotyping methods including restriction fragment length polymorphism, pyrosequencing and Sanger sequencing were used for validation. Statistical analysis was performed using PLINK and SPSS. Genotypes of 34 SNPs were obtained and investigated for their potential association with menstrual migraine. Of these SNPs, rs2506142 located near the neuropilin 1 gene (NRP1), was found to be significantly associated with menstrual migraine (p = 0.003). Genomic risk scores were calculated for all 34 SNPs as well as a subset of 7 SNPs that were nearing individual significance. Overall, this analysis suggested these SNPs to be weakly predictive of MM, but of no prognostic or diagnostic value. Our results suggest that NRP1 may be important in the etiology of MM. It also suggests some genetic commonality between common migraine subtypes (MA and MO) and MM. The identification of associated SNPs may be the starting point to a better understanding of how genetic factors may contribute to the menstrual migraine sub-type.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 9 25%
Student > Master 5 14%
Student > Ph. D. Student 3 8%
Other 2 6%
Student > Doctoral Student 2 6%
Other 4 11%
Unknown 11 31%
Readers by discipline Count As %
Unspecified 9 25%
Biochemistry, Genetics and Molecular Biology 4 11%
Medicine and Dentistry 4 11%
Neuroscience 3 8%
Nursing and Health Professions 2 6%
Other 3 8%
Unknown 11 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 May 2018.
All research outputs
#13,718,294
of 23,849,058 outputs
Outputs from The Journal of Headache and Pain
#873
of 1,417 outputs
Outputs of similar age
#164,976
of 329,360 outputs
Outputs of similar age from The Journal of Headache and Pain
#12
of 23 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,417 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 329,360 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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 is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.