Meta-analysis of genome-wide association for migraine in six population-based European cohorts

Lannie Ligthart*, Boukje de Vries, Albert V. Smith, M. Arfan Ikram, Najaf Amin, Jouke-Jan Hottenga, Stephany C. Koelewijn, V. Mathijs Kattenberg, Marleen H. M. de Moor, A. Cecile J. W. Janssens, Yurii S. Aulchenko, Ben A. Oostra, Eco J. C. de Geus, Johannes H. Smit, Frans G. Zitman, Andre G. Uitterlinden, Albert Hofman, Gonneke Willemsen, Dale R. Nyholt, Grant W. MontgomeryGisela M. Terwindt, Vilmundur Gudnason, Brenda W. J. H. Penninx, Monique Breteler, Michel D. Ferrari, Lenore J. Launer, Cornelia M. van Duijn, Arn M. J. M. van den Maagdenberg, Dorret I. Boomsma, Dutch Icelandic Migraine Genetics

*Corresponding author for this work

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    Abstract

    Migraine is a common neurological disorder with a genetically complex background. This paper describes a meta-analysis of genome-wide association (GWA) studies on migraine, performed by the Dutch-Icelandic migraine genetics (DICE) consortium, which brings together six population-based European migraine cohorts with a total sample size of 10 980 individuals (2446 cases and 8534 controls). A total of 32 SNPs showed marginal evidence for association at a P-value

    Original languageEnglish
    Pages (from-to)901-907
    Number of pages7
    JournalEuropean Journal of Human Genetics
    Volume19
    Issue number8
    DOIs
    Publication statusPublished - Aug-2011

    Keywords

    • migraine
    • meta-analysis
    • genome-wide association
    • population-based
    • FAMILIAL HEMIPLEGIC MIGRAINE
    • DELETION POLYMORPHISM
    • TYPICAL MIGRAINE
    • COMMON MIGRAINE
    • CHROMOSOME 4Q24
    • AURA
    • GENE
    • SUSCEPTIBILITY
    • MTHFR
    • ENTITIES

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