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Stroke genetics network (SiGN) study design and rationale for a genome-wide association study of ischemic stroke subtypes

  • James F. Meschia
  • , Donna K. Arnett
  • , Hakan Ay
  • , Robert D. Brown
  • , Oscar R. Benavente
  • , John W. Cole
  • , Paul I.W. De Bakker
  • , Martin Dichgans
  • , Kimberly F. Doheny
  • , Myriam Fornage
  • , Raji P. Grewal
  • , Katrina Gwinn
  • , Christina Jern
  • , Jordi Jimenez Conde
  • , Julie A. Johnson
  • , Katarina Jood
  • , Cathy C. Laurie
  • , Jin Moo Lee
  • , Arne Lindgren
  • , Hugh S. Markus
  • Patrick F. Mcardle, Leslie A. Mcclure, Braxton D. Mitchell, Reinhold Schmidt, Kathryn M. Rexrode, Stephen S. Rich, Jonathan Rosand, Peter M. Rothwell, Tatjana Rundek, Ralph L. Sacco, Pankaj Sharma, Alan R. Shuldiner, Agnieszka Slowik, Sylvia Wassertheil-Smoller, Cathie Sudlow, Vincent N.S. Thijs, Daniel Woo, Bradford B. Worrall, Ona Wu, Steven J. Kittner
  • Mayo Clinic Florida
  • University of Alabama at Birmingham
  • Massachusetts General Hospital
  • Mayo Clinic Rochester, MN
  • University of British Columbia
  • University of Maryland, Baltimore
  • Utrecht University
  • Brigham and Women’s Hospital
  • Massachusetts Institute of Technology
  • Ludwig Maximilian University of Munich
  • Johns Hopkins University
  • University of Texas Health Science Center at Houston
  • Saint Francis Medical Center
  • National Institutes of Health
  • University of Gothenburg
  • Hospital del Mar
  • University of Florida
  • University of Washington
  • Washington University St. Louis
  • Lund University
  • St. George's Hospital Medical School
  • Medical University of Graz
  • University of Virginia
  • Oxford University Hospitals NHS Foundation Trust
  • University of Miami
  • Imperial College London
  • Jagiellonian University in Kraków
  • Albert Einstein College of Medicine
  • University of Edinburgh
  • KU Leuven

Research output: Contribution to journalArticlepeer-review

59 Scopus citations

Abstract

Background and Purpose-Meta-analyses of extant genome-wide data illustrate the need to focus on subtypes of ischemic stroke for gene discovery. The National Institute of Neurological Disorders and Stroke SiGN (Stroke Genetics Network) contributes substantially to meta-analyses that focus on specific subtypes of stroke. Methods-The National Institute of Neurological Disorders and Stroke SiGN includes ischemic stroke cases from 24 genetic research centers: 13 from the United States and 11 from Europe. Investigators harmonize ischemic stroke phenotyping using the Web-based causative classification of stroke system, with data entered by trained and certified adjudicators at participating genetic research centers. Through the Center for Inherited Diseases Research, the Network plans to genotype 10 296 carefully phenotyped stroke cases using genome-wide single nucleotide polymorphism arrays and adds to these another 4253 previously genotyped cases, for a total of 14 549 cases. To maximize power for subtype analyses, the study allocates genotyping resources almost exclusively to cases. Publicly available studies provide most of the control genotypes. Center for Inherited Diseases Research- generated genotypes and corresponding phenotypes will be shared with the scientific community through the US National Center for Biotechnology Information database of Genotypes and Phenotypes, and brain MRI studies will be centrally archived. Conclusions-The Stroke Genetics Network, with its emphasis on careful and standardized phenotyping of ischemic stroke and stroke subtypes, provides an unprecedented opportunity to uncover genetic determinants of ischemic stroke.

Original languageEnglish
Pages (from-to)2694-2702
Number of pages9
JournalStroke
Volume44
Issue number10
DOIs
StatePublished - Oct 2013

Keywords

  • Cerebral infarct
  • Genetics
  • Genomics

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