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Shared genetic basis for migraine and ischemic stroke A genome-wide analysis of common variants

Overview of attention for article published in Neurology, May 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)


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Shared genetic basis for migraine and ischemic stroke A genome-wide analysis of common variants
Published in
Neurology, May 2015
DOI 10.1212/wnl.0000000000001606
Pubmed ID

Malik, Rainer, Freilinger, Tobias, Winsvold, Bendik S, Anttila, Verneri, Vander Heiden, Jason, Traylor, Matthew, de Vries, Boukje, Holliday, Elizabeth G, Terwindt, Gisela M, Sturm, Jonathan, Bis, Joshua C, Hopewell, Jemma C, Ferrari, Michel D, Rannikmae, Kristiina, Wessman, Maija, Kallela, Mikko, Kubisch, Christian, Fornage, Myriam, Meschia, James F, Lehtimäki, Terho, Sudlow, Cathie, Clarke, Robert, Chasman, Daniel I, Mitchell, Braxton D, Maguire, Jane, Kaprio, Jaakko, Farrall, Martin, Raitakari, Olli T, Kurth, Tobias, Ikram, M Arfan, Reiner, Alex P, Longstreth, W T, Rothwell, Peter M, Strachan, David P, Sharma, Pankaj, Seshadri, Sudha, Quaye, Lydia, Cherkas, Lynn, Schürks, Markus, Rosand, Jonathan, Ligthart, Lannie, Boncoraglio, Giorgio B, Davey Smith, George, van Duijn, Cornelia M, Stefansson, Kari, Worrall, Bradford B, Nyholt, Dale R, Markus, Hugh S, van den Maagdenberg, Arn M J M, Cotsapas, Chris, Zwart, John A, Palotie, Aarno, , , Dichgans, Martin, R. Malik, T. Freilinger, B. S. Winsvold, V. Anttila, J. Vander Heiden, M. Traylor, B. de Vries, E. G. Holliday, G. M. Terwindt, J. Sturm, J. C. Bis, J. C. Hopewell, M. D. Ferrari, K. Rannikmae, M. Wessman, M. Kallela, C. Kubisch, M. Fornage, J. F. Meschia, T. Lehtimaki, C. Sudlow, R. Clarke, D. I. Chasman, B. D. Mitchell, J. Maguire, J. Kaprio, M. Farrall, O. T. Raitakari, T. Kurth, M. A. Ikram, A. P. Reiner, W. T. Longstreth, P. M. Rothwell, D. P. Strachan, P. Sharma, S. Seshadri, L. Quaye, L. Cherkas, M. Schurks, J. Rosand, L. Ligthart, G. B. Boncoraglio, G. Davey Smith, C. M. van Duijn, K. Stefansson, B. B. Worrall, D. R. Nyholt, H. S. Markus, A. M. J. M. van den Maagdenberg, C. Cotsapas, J. A. Zwart, A. Palotie, M. Dichgans, U. Thorsteinsdottir, A. L. DeStefano, C. Levi, S. Gretarsdottir, P. Donnelly, I. Barroso, J. M. Blackwell, E. Bramon, M. A. Brown, J. P. Casas, A. Corvin, P. Deloukas, A. Duncanson, J. Jankowski, C. G. Mathew, C. N. Palmer, R. Plomin, A. Rautanen, S. J. sawcer, R. C. Trembath F, A. C. Viswanathan, N. W. Wood, C. C. Spencer, G. Band, C. Bellengues, C. Freeman, G. Hellenthal, E. Giannoulatou, M. Pirinen, R. Pearson, A. Strange, Z. Su, D. Vukcevic, C. Langford, S. E. Hunt, S. Edkind, R. Gwilliam, H. Blackburn, S. J. Bumpstead, S. Dronv, M. Gillman, E. Gray, N. Hammond, A. Jayakumar, O. T. McCann, J. Liddle, S. C. Potter, R. Ravindrarajah, M. Rickette, M. Waller, P. Weston, S. Widaa, P. Whittaker, P. Gormley, F. Bettella, G. McMahon, U. Todt, P. Palta, E. Hamalainen, S. Steinberg, H. Stefansson, M. Farkkila, V. Artto, M. A. Kaunisto, J. Schoenen, R. R. Frants, G. Borck, H. Gobel, A. Heinze, K. Heinze-Kuhn, B. Muller-Myhsok


To quantify genetic overlap between migraine and ischemic stroke (IS) with respect to common genetic variation. We applied 4 different approaches to large-scale meta-analyses of genome-wide data on migraine (23,285 cases and 95,425 controls) and IS (12,389 cases and 62,004 controls). First, we queried known genome-wide significant loci for both disorders, looking for potential overlap of signals. We then analyzed the overall shared genetic load using polygenic scores and estimated the genetic correlation between disease subtypes using data derived from these models. We further interrogated genomic regions of shared risk using analysis of covariance patterns between the 2 phenotypes using cross-phenotype spatial mapping. We found substantial genetic overlap between migraine and IS using all 4 approaches. Migraine without aura (MO) showed much stronger overlap with IS and its subtypes than migraine with aura (MA). The strongest overlap existed between MO and large artery stroke (LAS; p = 6.4 × 10(-28) for the LAS polygenic score in MO) and between MO and cardioembolic stroke (CE; p = 2.7 × 10(-20) for the CE score in MO). Our findings indicate shared genetic susceptibility to migraine and IS, with a particularly strong overlap between MO and both LAS and CE pointing towards shared mechanisms. Our observations on MA are consistent with a limited role of common genetic variants in this subtype.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Professor 4 17%
Researcher 4 17%
Unspecified 4 17%
Student > Ph. D. Student 3 13%
Librarian 3 13%
Other 5 22%
Readers by discipline Count As %
Unspecified 5 22%
Agricultural and Biological Sciences 3 13%
Biochemistry, Genetics and Molecular Biology 3 13%
Computer Science 3 13%
Nursing and Health Professions 2 9%
Other 7 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 23 January 2017.
All research outputs
of 12,730,275 outputs
Outputs from Neurology
of 13,083 outputs
Outputs of similar age
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Outputs of similar age from Neurology
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Altmetric has tracked 12,730,275 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,083 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has done particularly well, scoring higher than 92% 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 226,524 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 213 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.