Meta-analysis of genome-wide association for migraine in six population-based European cohorts
Year: 2011
Type: review
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<10(-5). The best result was obtained for SNP rs9908234, which had a P-value of 8.00 × 10(-8). This top SNP is located in the nerve growth factor receptor (NGFR) gene. However, this SNP did not replicate in three cohorts from the Netherlands and Australia. Of the other 31 SNPs, 18 SNPs were tested in two replication cohorts, but none replicated. In addition, we explored previously identified candidate genes in the meta-analysis data set. This revealed a modest gene-based significant association between migraine and the metadherin (MTDH) gene, previously identified in the first clinic-based GWA study (GWAS) for migraine (Bonferroni-corrected gene-based P-value=0.026). This finding is consistent with the involvement of the glutamate pathway in migraine. Additional research is necessary to further confirm the involvement of glutamate.
DOI: 10.1038/ejhg.2011.48
Authors: Lannie Ligthart, Boukje de Vries, Albert V Smith, M Arfan Ikram, Najaf Amin, Jouke-Jan Hottenga, Stephany C Koelewijn, V Mathijs Kattenberg, Marleen HM de Moor, A Cecile JW Janssens, Yurii S Aulchenko, Ben A Oostra, Eco JC de Geus, Johannes H Smit, Frans G Zitman, André G Uitterlinden, Albert Hofman, Gonneke Willemsen, Dale R Nyholt, Grant W Montgomery, Gisela M Terwindt, Vilmundur Gudnason, Brenda WJH Penninx, Monique Breteler, Michel D Ferrari, Lenore J Launer, Cornelia M van Duijn, Arn MJM van den Maagdenberg, Dorret I Boomsma
Institutions: Vrije Universiteit Amsterdam, Leiden University Medical Center, Icelandic Heart Association, Erasmus MC, Amsterdam Public Health, Amsterdam UMC Location Vrije Universiteit Amsterdam, QIMR Berghofer Medical Research Institute, University of Iceland, University Medical Center Groningen, National Institutes of Health, National Institute on Aging
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $2,790
Funders: Abbott Laboratories, Pfizer, European Commission, European Science Foundation, Universiteit Leiden, ZonMw, Vrije Universiteit Amsterdam, Erasmus Medisch Centrum, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, GGZ inGeest, Rivierduinen, GGZ Friesland, GGZ Drenthe, Nederlands Instituut voor Onderzoek van de Gezondheidszorg, Leids Universitair Medisch Centrum, Universitair Medisch Centrum Groningen, Hjartavernd, Centre for Medical Systems Biology, Norwegian Biodiversity Information Centre, National Institutes of Health, U.S. Public Health Service, Medical Research Council, Australian Research Council, National Health and Medical Research Council, National Institute on Aging, National Institute of Mental Health, European Social Fund
Awards: G1028663679, G1093531541, G1108774313, G1140801657, G1151563582, G126399678, G1311351439, G1389291084, G1409398652, G1436884665, G1447699044, G1495020029, THE AGES STUDY - THE REYKJAVIK STUDY OF HEALTHY AGING FOR THE NEW MILLENUM, G16286648, G1679186985, G1689944598, Validation and Replication of Genes Associated with Common Human Disease Using Australian Twin Families, G178382592, G1846835827, G1853612974, G2098337849, Characterising the trajectory of non-medical use of prescription drugs from a poly-substance use perspective, G2162484952, G2238725043, G230712557, G2324588096, G250924255, G2563833389, G2624192138, G2636403020, G2756934815, G2861369480, G2952053418, G2973790809, G300706285, G3077543175, G3121967442, G3136063669, G3199409182, G3207356259, G3248275209, G3294462333, G3345700492, G3372872952, G3402222819, G3444887196, G3540777072, G357049385, Identification of genetic risk factors for asthma: genome-wide association and the role of epigenetics, G3785373358, G3805357451, G3839646794, G3862454230, G3916079629, G393177772, Genome-wide combined linkage-association scan of multiply phenotyped twin sibships, Pigmentation genes and melanoma risk, G4257988455, G4337057405, G4367295956, G4446757277, G4460629988, Genetics and prediction of complex disease risk, G4544423771, G4599390081, Association Screen of Migraine Candidate Genes, European Network for Genetic and Genomic Epidemiology, G536623562, G5418186242, G5457026379, G5468713758, Limited Competition: Continuation of the Center for Genomic Studies on Mental Disorders, G5508833615, Mapping Genes for typical migraine using twin families., G5702163051, G5767309141, G582784438, G591084189, G6003490063, G6087908568, G6091493096, G6144234142, G626177176, Genetics of moliness, G6663973959, G6728033037, Develop & improve methodology in gene mapping, targetting localisation of genes underlying migraine & other disorders, Quantitative and Molecular Genetic Analysis of Cognition, Uncoupled Research Fellowship, Genetics of moliness, G6960579393, G70080636, G7229602471, G7373387228, G7780068114, G7836598383, G7894417573, Locating genes for elementary and complex cognitive abilities using genetic linkage and association analysis, G822877548, G836522160, G8506930532, G8547141348, G8713346975, Statistical Methods and Algorithms for Analysis of High-throughput Genetics and Genomics Platforms, G961365294
OpenAlex ID: W2105137453