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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
11 news outlets
blogs
1 blog
twitter
23 X users
facebook
2 Facebook pages
googleplus
2 Google+ users

Readers on

mendeley
216 Mendeley
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Article details
Title
Identification of additional risk loci for stroke and small vessel disease: a meta-analysis of genome-wide association studies
Published in
Lancet Neurology, April 2016
DOI 10.1016/s1474-4422(16)00102-2
Pubmed ID
Authors

the Stroke Genetics Network Neurology Working Group of the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium, Ganesh Chauhan, Corey R Arnold, Audrey Y Chu, Myriam Fornage, Azadeh Reyahi, Joshua C Bis, Aki S Havulinna, Muralidharan Sargurupremraj, Albert Vernon Smith, Hieab H H Adams, Seung Hoan Choi, Sara L Pulit, Stella Trompet, Melissa E Garcia, Ani Manichaikul, Alexander Teumer, Stefan Gustafsson, Traci M Bartz, Céline Bellenguez, Jean Sebastien Vidal, Xueqiu Jian, Olafur Kjartansson, Kerri L Wiggins, Claudia L Satizabal, Flora Xue, Samuli Ripatti, Yongmei Liu, Joris Deelen, Marcel den Hoed, Steve Bevan, Jemma C Hopewell, Rainer Malik, Susan R Heckbert, Kenneth Rice, Nicholas L Smith, Christopher Levi, Pankaj Sharma, Cathie LM Sudlow, Ali Moussavi Nik, John W Cole, Reinhold Schmidt, James Meschia, Vincent Thijs, Arne Lindgren, Olle Melander, Raji P Grewal, Ralph L Sacco, Tatjana Rundek, Peter M Rothwell, Donna K Arnett, Christina Jern, Julie A Johnson, Oscar R Benavente, Sylvia Wassertheil-Smoller, Jin-Moo Lee, Quenna Wong, Hugo J Aparicio, Stefan T Engelter, Manja Kloss, Didier Leys, Alessandro Pezzini, Julie E Buring, Paul M Ridker, Claudine Berr, Jean-François Dartigues, Anders Hamsten, Patrik K Magnusson, Matthew Traylor, Nancy L Pedersen, Lars Lannfelt, Lars Lindgren, Cecilia M Lindgren, Andrew P Morris, Jordi Jimenez-Conde, Joan Montaner, Farid Radmanesh, Agnieszka Slowik, Daniel Woo, Albert Hofman, Peter J Koudstaal, Marileen L P Portegies, André G Uitterlinden, Anton J M de Craen, Ian Ford, J Wouter Jukema, David J Stott, Norrina B Allen, Michele M Sale, Andrew D Johnson, David A Bennett, Philip L De Jager, Charles C White, Hans Jörgen Grabe, Marcello Ricardo Paulista Markus, Ulf Schminke, Giorgio B Boncoraglio, Robert Clarke, Yoichiro Kamatani, Jean Dallongeville, Oscar L Lopez, Jerome I Rotter, Michael A Nalls, Rebecca F Gottesman, Michael E Griswold, David S Knopman, B Gwen Windham, Alexa Beiser, Hugh S Markus, Erkki Vartiainen, Curtis R French, Martin Dichgans, Tomi Pastinen, Mark Lathrop, Vilmundur Gudnason, Tobias Kurth, Bruce M Psaty, Tamara B Harris, Stephen S Rich, Anita L deStefano, Carsten Oliver Schmidt, Bradford B Worrall, Jonathan Rosand, Veikko Salomaa, Thomas H Mosley, Erik Ingelsson, Cornelia M van Duijn, Christophe Tzourio, Kathryn M Rexrode, Ordan J Lehmann, Lenore J Launer, M Arfan Ikram, Peter Carlsson, Daniel I Chasman, Sarah J Childs, William T Longstreth, Sudha Seshadri, Stéphanie Debette

Abstract

Genetic determinants of stroke, the leading neurological cause of death and disability, are poorly understood and have seldom been explored in the general population. Our aim was to identify additional loci for stroke by doing a meta-analysis of genome-wide association studies. For the discovery sample, we did a genome-wide analysis of common genetic variants associated with incident stroke risk in 18 population-based cohorts comprising 84 961 participants, of whom 4348 had stroke. Stroke diagnosis was ascertained and validated by the study investigators. Mean age at stroke ranged from 45·8 years to 76·4 years, and data collection in the studies took place between 1948 and 2013. We did validation analyses for variants yielding a significant association (at p<5 × 10(-6)) with all-stroke, ischaemic stroke, cardioembolic ischaemic stroke, or non-cardioembolic ischaemic stroke in the largest available cross-sectional studies (70 804 participants, of whom 19 816 had stroke). Summary-level results of discovery and follow-up stages were combined using inverse-variance weighted fixed-effects meta-analysis, and in-silico lookups were done in stroke subtypes. For genome-wide significant findings (at p<5 × 10(-8)), we explored associations with additional cerebrovascular phenotypes and did functional experiments using conditional (inducible) deletion of the probable causal gene in mice. We also studied the expression of orthologs of this probable causal gene and its effects on cerebral vasculature in zebrafish mutants. We replicated seven of eight known loci associated with risk for ischaemic stroke, and identified a novel locus at chromosome 6p25 (rs12204590, near FOXF2) associated with risk of all-stroke (odds ratio [OR] 1·08, 95% CI 1·05-1·12, p=1·48 × 10(-8); minor allele frequency 21%). The rs12204590 stroke risk allele was also associated with increased MRI-defined burden of white matter hyperintensity-a marker of cerebral small vessel disease-in stroke-free adults (n=21 079; p=0·0025). Consistently, young patients (aged 2-32 years) with segmental deletions of FOXF2 showed an extensive burden of white matter hyperintensity. Deletion of Foxf2 in adult mice resulted in cerebral infarction, reactive gliosis, and microhaemorrhage. The orthologs of FOXF2 in zebrafish (foxf2b and foxf2a) are expressed in brain pericytes and mutant foxf2b(-/-) cerebral vessels show decreased smooth muscle cell and pericyte coverage. We identified common variants near FOXF2 that are associated with increased stroke susceptibility. Epidemiological and experimental data suggest that FOXF2 mediates this association, potentially via differentiation defects of cerebral vascular mural cells. Further expression studies in appropriate human tissues, and further functional experiments with long follow-up periods are needed to fully understand the underlying mechanisms. NIH, NINDS, NHMRC, CIHR, European national research institutions, Fondation Leducq.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 <1%
Unknown 214 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 35 16%
Student > Ph. D. Student 28 13%
Student > Master 22 10%
Student > Bachelor 21 10%
Other 12 6%
Other 28 13%
Unknown 70 32%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 47 22%
Biochemistry, Genetics and Molecular Biology 25 12%
Neuroscience 23 11%
Agricultural and Biological Sciences 13 6%
Nursing and Health Professions 9 4%
Other 22 10%
Unknown 77 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 98. 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 22 February 2017.
All research outputs
#553,095
of 34,779,718 outputs
Outputs from Lancet Neurology
#365
of 4,666 outputs
Outputs of similar age
#7,624
of 341,047 outputs
Outputs of similar age from Lancet Neurology
#6
of 63 outputs
Altmetric has tracked 34,779,718 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,666 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. 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 341,047 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 97% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.