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Winsvold, B. S., Palta, P., Eising, E., Page, C. M., The International Headache Genetics Consortium, Van den Maagdenberg, A. M. J. M., Palotie, A., & Zwart, J.-A. (2018). Epigenetic DNA methylation changes associated with headache chronification: A retrospective case-control study. Cephalalgia, 38(2), 312-322. doi:10.1177/0333102417690111.
Abstract
Background
The biological mechanisms of headache chronification are poorly understood. We aimed to identify changes in DNA methylation associated with the transformation from episodic to chronic headache.
Methods
Participants were recruited from the population-based Norwegian HUNT Study. Thirty-six female headache patients who transformed from episodic to chronic headache between baseline and follow-up 11 years later were matched against 35 controls with episodic headache. DNA methylation was quantified at 485,000 CpG sites, and changes in methylation level at these sites were compared between cases and controls by linear regression analysis. Data were analyzed in two stages (Stages 1 and 2) and in a combined meta-analysis.
Results
None of the top 20 CpG sites identified in Stage 1 replicated in Stage 2 after multiple testing correction. In the combined meta-analysis the strongest associated CpG sites were related to SH2D5 and NPTX2, two brain-expressed genes involved in the regulation of synaptic plasticity. Functional enrichment analysis pointed to processes including calcium ion binding and estrogen receptor pathways.
Conclusion
In this first genome-wide study of DNA methylation in headache chronification several potentially implicated loci and processes were identified. The study exemplifies the use of prospectively collected population cohorts to search for epigenetic mechanisms of disease -
Eising, E., Huisman, S. M., Mahfouz, A., Vijfhuizen, L. S., Anttila, V., Winsvold, B. S., Kurth, T., Ikram, M. A., Freilinger, T., Kaprio, J., Boomsma, D. I., van Duijn, C. M., Järvelin, M.-R.-R., Zwart, J.-A., Quaye, L., Strachan, D. P., Kubisch, C., Dichgans, M., Davey Smith, G., Stefansson, K. and 9 moreEising, E., Huisman, S. M., Mahfouz, A., Vijfhuizen, L. S., Anttila, V., Winsvold, B. S., Kurth, T., Ikram, M. A., Freilinger, T., Kaprio, J., Boomsma, D. I., van Duijn, C. M., Järvelin, M.-R.-R., Zwart, J.-A., Quaye, L., Strachan, D. P., Kubisch, C., Dichgans, M., Davey Smith, G., Stefansson, K., Palotie, A., Chasman, D. I., Ferrari, M. D., Terwindt, G. M., de Vries, B., Nyholt, D. R., Lelieveldt, B. P., van den Maagdenberg, A. M., & Reinders, M. J. (2016). Gene co‑expression analysis identifies brain regions and cell types involved in migraine pathophysiology: a GWAS‑based study using the Allen Human Brain Atlas. Human Genetics, 135(4), 425-439. doi:10.1007/s00439-016-1638-x.
Abstract
Migraine is a common disabling neurovascular brain disorder typically characterised by attacks of severe headache and associated with autonomic and neurological symptoms. Migraine is caused by an interplay of genetic and environmental factors. Genome-wide association studies (GWAS) have identified over a dozen genetic loci associated with migraine. Here, we integrated migraine GWAS data with high-resolution spatial gene expression data of normal adult brains from the Allen Human Brain Atlas to identify specific brain regions and molecular pathways that are possibly involved in migraine pathophysiology. To this end, we used two complementary methods. In GWAS data from 23,285 migraine cases and 95,425 controls, we first studied modules of co-expressed genes that were calculated based on human brain expression data for enrichment of genes that showed association with migraine. Enrichment of a migraine GWAS signal was found for five modules that suggest involvement in migraine pathophysiology of: (i) neurotransmission, protein catabolism and mitochondria in the cortex; (ii) transcription regulation in the cortex and cerebellum; and (iii) oligodendrocytes and mitochondria in subcortical areas. Second, we used the high-confidence genes from the migraine GWAS as a basis to construct local migraine-related co-expression gene networks. Signatures of all brain regions and pathways that were prominent in the first method also surfaced in the second method, thus providing support that these brain regions and pathways are indeed involved in migraine pathophysiology. -
Eising, E., De Leeuw, C., Min, J. L., Anttila, V., Verheijen, M. H. G., Terwindt, G. M., Dichgans, M., Freilinger, T., Kubisch, C., Ferrari, M. D., Smit, A. B., De Vries, B., Palotie, A., Van Den Maagdenberg, A. M. J. M., & Posthuma, D. (2016). Involvement of astrocyte and oligodendrocyte gene sets in migraine. Cephalalgia, 36(7), 640-647. doi:10.1177/0333102415618614.
Abstract
Migraine is a common episodic brain disorder characterized by recurrent attacks of severe unilateral headache and additional neurological symptoms. Two main migraine types can be distinguished based on the presence of aura symptoms that can accompany the headache: migraine with aura and migraine without aura. Multiple genetic and environmental factors confer disease susceptibility. Recent genome-wide association studies (GWAS) indicate that migraine susceptibility genes are involved in various pathways, including neurotransmission, which have already been implicated in genetic studies of monogenic familial hemiplegic migraine, a subtype of migraine with aura. Methods To further explore the genetic background of migraine, we performed a gene set analysis of migraine GWAS data of 4954 clinic-based patients with migraine, as well as 13,390 controls. Curated sets of synaptic genes and sets of genes predominantly expressed in three glial cell types (astrocytes, microglia and oligodendrocytes) were investigated. Discussion Our results show that gene sets containing astrocyte- and oligodendrocyte-related genes are associated with migraine, which is especially true for gene sets involved in protein modification and signal transduction. Observed differences between migraine with aura and migraine without aura indicate that both migraine types, at least in part, seem to have a different genetic background. -
Zhao, H., Eising, E., de Vries, B., Vijfhuizen, L. S., Anttila, V., Winswold, B. S., Kurth, T., Stefansson, H., Kallela, M., Malik, R., Stam, A. H., Afran Ikram, M., Ligthart, L., Freilinger, T., Alexander, M., Müller-Myhsok, B., Schreiber, S., Meilinger, T., Aromas, A., Eriksson, J. G. and 15 moreZhao, H., Eising, E., de Vries, B., Vijfhuizen, L. S., Anttila, V., Winswold, B. S., Kurth, T., Stefansson, H., Kallela, M., Malik, R., Stam, A. H., Afran Ikram, M., Ligthart, L., Freilinger, T., Alexander, M., Müller-Myhsok, B., Schreiber, S., Meilinger, T., Aromas, A., Eriksson, J. G., Boomsma, D. I., van Duijn, C. M., Anker Zwart, J., Quaye, L., Kubisch, C., Dichgans, M., Wessman, M., Stefansson, K., Chasman, D. I., Palotie, A., Martin, N. G., Montgomery, G. W., Ferrari, M. D., van den Maagdenberg, A. M., & Nyholt, D. R. (2016). Gene-based pleiotropy across migraine with aura and migraine without aura patient groups. Cephalalgia, 36(7), 648-657. doi:10.1177/0333102415591497.
Abstract
Introduction It is unclear whether patients diagnosed according to International Classification of Headache Disorders criteria for migraine with aura (MA) and migraine without aura (MO) experience distinct disorders or whether their migraine subtypes are genetically related. Aim Using a novel gene-based (statistical) approach, we aimed to identify individual genes and pathways associated both with MA and MO. Methods Gene-based tests were performed using genome-wide association summary statistic results from the most recent International Headache Genetics Consortium study comparing 4505 MA cases with 34,813 controls and 4038 MO cases with 40,294 controls. After accounting for non-independence of gene-based test results, we examined the significance of the proportion of shared genes associated with MA and MO. Results We found a significant overlap in genes associated with MA and MO. Of the total 1514 genes with a nominally significant gene-based p value (pgene-based ≤ 0.05) in the MA subgroup, 107 also produced pgene-based ≤ 0.05 in the MO subgroup. The proportion of overlapping genes is almost double the empirically derived null expectation, producing significant evidence of gene-based overlap (pleiotropy) (pbinomial-test = 1.5 × 10–4). Combining results across MA and MO, six genes produced genome-wide significant gene-based p values. Four of these genes (TRPM8, UFL1, FHL5 and LRP1) were located in close proximity to previously reported genome-wide significant SNPs for migraine, while two genes, TARBP2 and NPFF separated by just 259 bp on chromosome 12q13.13, represent a novel risk locus. The genes overlapping in both migraine types were enriched for functions related to inflammation, the cardiovascular system and connective tissue. Conclusions Our results provide novel insight into the likely genes and biological mechanisms that underlie both MA and MO, and when combined with previous data, highlight the neuropeptide FF-amide peptide encoding gene (NPFF) as a novel candidate risk gene for both types of migraine. -
De Vries, B., Eising, E., Broos, L. A. M., Koelewijn, S. C., Todorov, B., Frants, R. R., Boer, J. M., Ferraro, M. D., Thoen, P. A. C., & Van Den Maagdenberg, A. (2014). RNA expression profiling in brains of familial hemiplegic migraine type 1 knock-in mice. Cephalalgia, 34(3), 174-182. doi:10.1177/0333102413502736.
Abstract
Background Various CACNA1A missense mutations cause familial hemiplegic migraine type 1 (FHM1), a rare monogenic subtype of migraine with aura. FHM1 mutation R192Q is associated with pure hemiplegic migraine, whereas the S218L mutation causes hemiplegic migraine, cerebellar ataxia, seizures, and mild head trauma-induced brain edema. Transgenic knock-in (KI) migraine mouse models were generated that carried either the FHM1 R192Q or the S218L mutation and were shown to exhibit increased CaV2.1 channel activity. Here we investigated their cerebellar and caudal cortical transcriptome. Methods Caudal cortical and cerebellar RNA expression profiles from mutant and wild-type mice were studied using microarrays. Respective brain regions were selected based on their relevance to migraine aura and ataxia. Relevant expression changes were further investigated at RNA and protein level by quantitative polymerase chain reaction (qPCR) and/or immunohistochemistry, respectively. Results Expression differences in the cerebellum were most pronounced in S218L mice. Particularly, tyrosine hydroxylase, a marker of delayed cerebellar maturation, appeared strongly upregulated in S218L cerebella. In contrast, only minimal expression differences were observed in the caudal cortex of either mutant mice strain. Conclusion Despite pronounced consequences of migraine gene mutations at the neurobiological level, changes in cortical RNA expression in FHM1 migraine mice compared to wild-type are modest. In contrast, pronounced RNA expression changes are seen in the cerebellum of S218L mice and may explain their cerebellar ataxia phenotype
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