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Dive into the research topics where Bendik S. Winsvold is active.

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Featured researches published by Bendik S. Winsvold.


Nature Genetics | 2013

Genome-wide meta-analysis identifies new susceptibility loci for migraine

Verneri Anttila; Bendik S. Winsvold; Padhraig Gormley; Tobias Kurth; Francesco Bettella; George McMahon; Mikko Kallela; Rainer Malik; Boukje de Vries; Gisela M. Terwindt; Sarah E. Medland; Unda Todt; Wendy L. McArdle; Lydia Quaye; Markku Koiranen; M. Arfan Ikram; Terho Lehtimäki; Anine H. Stam; Lannie Ligthart; Juho Wedenoja; Ian Dunham; Benjamin M. Neale; Priit Palta; Eija Hämäläinen; Markus Schuerks; Lynda M. Rose; Julie E. Buring; Paul M. Ridker; Stacy Steinberg; Hreinn Stefansson

Migraine is the most common brain disorder, affecting approximately 14% of the adult population, but its molecular mechanisms are poorly understood. We report the results of a meta-analysis across 29 genome-wide association studies, including a total of 23,285 individuals with migraine (cases) and 95,425 population-matched controls. We identified 12 loci associated with migraine susceptibility (P < 5 × 10−8). Five loci are new: near AJAP1 at 1p36, near TSPAN2 at 1p13, within FHL5 at 6q16, within C7orf10 at 7p14 and near MMP16 at 8q21. Three of these loci were identified in disease subgroup analyses. Brain tissue expression quantitative trait locus analysis suggests potential functional candidate genes at four loci: APOA1BP, TBC1D7, FUT9, STAT6 and ATP5B.


Nature Genetics | 2012

Genome-wide association analysis identifies susceptibility loci for migraine without aura

Tobias Freilinger; Verneri Anttila; Boukje de Vries; Rainer Malik; Mikko Kallela; Gisela M. Terwindt; Patricia Pozo-Rosich; Bendik S. Winsvold; Dale R. Nyholt; Willebrordus P.J. van Oosterhout; Ville Artto; Unda Todt; Eija Hämäläinen; Jèssica Fernández-Morales; Mark A. Louter; Mari A. Kaunisto; Jean Schoenen; Olli T. Raitakari; Terho Lehtimäki; Marta Vila-Pueyo; Hartmut Göbel; Erich Wichmann; Cèlia Sintas; André G. Uitterlinden; Albert Hofman; Fernando Rivadeneira; A. Heinze; Erling Tronvik; Cornelia M. van Duijn; Jaakko Kaprio

Migraine without aura is the most common form of migraine, characterized by recurrent disabling headache and associated autonomic symptoms. To identify common genetic variants associated with this migraine type, we analyzed genome-wide association data of 2,326 clinic-based German and Dutch individuals with migraine without aura and 4,580 population-matched controls. We selected SNPs from 12 loci with 2 or more SNPs associated with P values of <1 × 10−5 for replication testing in 2,508 individuals with migraine without aura and 2,652 controls. SNPs at two of these loci showed convincing replication: at 1q22 (in MEF2D; replication P = 4.9 × 10−4; combined P = 7.06 × 10−11) and at 3p24 (near TGFBR2; replication P = 1.0 × 10−4; combined P = 1.17 × 10−9). In addition, SNPs at the PHACTR1 and ASTN2 loci showed suggestive evidence of replication (P = 0.01; combined P = 3.20 × 10−8 and P = 0.02; combined P = 3.86 × 10−8, respectively). We also replicated associations at two previously reported migraine loci in or near TRPM8 and LRP1. This study identifies the first susceptibility loci for migraine without aura, thereby expanding our knowledge of this debilitating neurological disorder.


European Journal of Neurology | 2011

Headache, migraine and cardiovascular risk factors: the HUNT study.

Bendik S. Winsvold; K. Hagen; Anne Hege Aamodt; Lars Jacob Stovner; Jostein Holmen; John-Anker Zwart

Background:  Migraine with aura (MA) has been found to be a risk factor for cardiovascular disease including ischaemic stroke and myocardial infarction. Studies have also reported a higher prevalence of unfavourable cardiovascular risk factors amongst migraineurs, but results have been conflicting as to whether this is restricted to MA or also holds true for migraine without aura (MO). This study aims to examine the relation between headache and cardiovascular risk factors in a large cross‐sectional population‐based study.


Neurology | 2015

Shared genetic basis for migraine and ischemic stroke A genome-wide analysis of common variants

Rainer Malik; Tobias Freilinger; Bendik S. Winsvold; Verneri Anttila; Jason A. Vander Heiden; Matthew Traylor; Boukje de Vries; Elizabeth G. Holliday; Gisela M. Terwindt; Jonathan Sturm; Joshua C. Bis; Jemma C. Hopewell; Michel D. Ferrari; Kristiina Rannikmae; Maija Wessman; Mikko Kallela; Christian Kubisch; Myriam Fornage; James F. Meschia; Terho Lehtimäki; Catherine Sudlow; Robert Clarke; Daniel I. Chasman; Braxton D. Mitchell; Jane Maguire; Jaakko Kaprio; Martin Farrall; Olli T. Raitakari; Tobias Kurth; M. Arfan Ikram

Objective: To quantify genetic overlap between migraine and ischemic stroke (IS) with respect to common genetic variation. Methods: We applied 4 different approaches to large-scale meta-analyses of genome-wide data on migraine (23,285 cases and 95,425 controls) and IS (12,389 cases and 62,004 controls). First, we queried known genome-wide significant loci for both disorders, looking for potential overlap of signals. We then analyzed the overall shared genetic load using polygenic scores and estimated the genetic correlation between disease subtypes using data derived from these models. We further interrogated genomic regions of shared risk using analysis of covariance patterns between the 2 phenotypes using cross-phenotype spatial mapping. Results: We found substantial genetic overlap between migraine and IS using all 4 approaches. Migraine without aura (MO) showed much stronger overlap with IS and its subtypes than migraine with aura (MA). The strongest overlap existed between MO and large artery stroke (LAS; p = 6.4 × 10−28 for the LAS polygenic score in MO) and between MO and cardioembolic stroke (CE; p = 2.7 × 10−20 for the CE score in MO). Conclusions: Our findings indicate shared genetic susceptibility to migraine and IS, with a particularly strong overlap between MO and both LAS and CE pointing towards shared mechanisms. Our observations on MA are consistent with a limited role of common genetic variants in this subtype.


Pain | 2013

Migraine, headache and development of metabolic syndrome: An 11-year follow-up in the Nord-Trøndelag Health Study (HUNT)

Bendik S. Winsvold; Irene Sandven; Knut Hagen; Mattias Linde; Kristian Midthjell; John-Anker Zwart

&NA; In a follow‐up study of 19,895 subjects over 11 years, it was found that having migraine with aura was associated with an increased risk for developing metabolic syndrome. &NA; Migraine with aura is associated with an increased incidence of stroke and cardiovascular disease, but the biological mechanisms are poorly understood. This study examined the incidence of metabolic syndrome and its relationship to migraine with and without aura and to nonmigraine headache. In the population‐based the Nord‐Tr&phgr;ndelag Health Study (HUNT), 19,895 individuals were followed for the development of metabolic syndrome, with a median follow‐up time of 11.3 years. Headache diagnoses were based on a validated headache questionnaire, and metabolic syndrome was based on a modified version of the National Cholesterol Education Program’s Adult Treatment Panel (ATP) III criteria, using objective anthropometric measurements and blood biochemistry. Using the Poisson regression model, migraine with aura was associated with an increased risk for developing metabolic syndrome. The effect was modified by smoking, with an adjusted incident risk ratio (IRR) among smokers of 2.10 (95% CI 1.53‐2.89) and among nonsmokers of 1.39 (95% CI 1.03‐1.86), when compared to headache‐free controls. A moderate risk increase was seen for migraine without aura (IRR 1.26, 95% CI 1.12‐1.42) and nonmigraine headache (IRR 1.22, 95% CI 1.13‐1.32), not modified by smoking. The results suggest that traditional risk factors may be one of the mechanisms through which migraine with aura is linked to an increased risk for cardiovascular disease. A heightened vigilance concerning cardiovascular risk factors in this patient group may be warranted.


Cephalalgia | 2015

Concordance of genetic risk across migraine subgroups: Impact on current and future genetic association studies

Dale R. Nyholt; Verneri Anttila; Bendik S. Winsvold; Tobias Kurth; Hreinn Stefansson; Mikko Kallela; Rainer Malik; Boukje de Vries; Gisela M. Terwindt; M. Arfan Ikram; Anine H. Stam; Lannie Ligthart; Tobias Freilinger; Michael Alexander; Bertram Müller-Myhsok; Stefan Schreiber; Thomas Meitinger; Arpo Aromaa; Johan G. Eriksson; Jaakko Kaprio; Dorret I. Boomsma; Cornelia van Duijn; Olli T. Raitakari; Marjo-Riitta Järvelin; John-Anker Zwart; Lydia Quaye; David P. Strachan; Christian Kubisch; Michel D. Ferrari; Arn M. J. M. van den Maagdenberg

Background There has been intensive debate whether migraine with aura (MA) and migraine without aura (MO) should be considered distinct subtypes or part of the same disease spectrum. There is also discussion to what extent migraine cases collected in specialised headache clinics differ from cases from population cohorts, and how female cases differ from male cases with respect to their migraine. To assess the genetic overlap between these migraine subgroups, we examined genome-wide association (GWA) results from analysis of 23,285 migraine cases and 95,425 population-matched controls. Methods Detailed heterogeneity analysis of single-nucleotide polymorphism (SNP) effects (odds ratios) between migraine subgroups was performed for the 12 independent SNP loci significantly associated (p < 5 × 10−8; thus surpassing the threshold for genome-wide significance) with migraine susceptibility. Overall genetic overlap was assessed using SNP effect concordance analysis (SECA) at over 23,000 independent SNPs. Results Significant heterogeneity of SNP effects (phet < 1.4 × 10−3) was observed between the MA and MO subgroups (for SNP rs9349379), and between the clinic- and population-based subgroups (for SNPs rs10915437, rs6790925 and rs6478241). However, for all 12 SNPs the risk-increasing allele was the same, and SECA found the majority of genome-wide SNP effects to be in the same direction across the subgroups. Conclusions Any differences in common genetic risk across these subgroups are outweighed by the similarities. Meta-analysis of additional migraine GWA datasets, regardless of their major subgroup composition, will identify new susceptibility loci for migraine.


Memory | 2001

A re-evaluation of the phonological similarity effect in adults' short-term memory of words and nonwords.

Arild Lian; Paul Johan Karlsen; Bendik S. Winsvold

The phonological similarity effect (PSE) was studied in two tasks of serial recall, in one task of serial recognition and one item identification task. PSE occurred only in the former three tasks involving memory of order when study items were words and nonwords with an associative connectedness to long-term memory. Nonwords that, according to a reaction time assessment of associative value, were less well connected to long-term memory mechanisms, were not sensitive to phonological similarity. These results are discussed in relation to contemporary models of short-term memory that explain the PSE as a result of confusions of items that are similarly encoded in a phonological layer. This layer is identified as a higher-level phonological space that is accessed by words and nonwords of high associative value and not by nonwords of low associative value.


European Journal of Neurology | 2015

Blood pressure as a risk factor for headache and migraine: a prospective population-based study.

C. F. Fagernæs; Ingrid Heuch; John-Anker Zwart; Bendik S. Winsvold; Mattias Linde; K. Hagen

During the past decade, several population‐based studies have found an inverse association between blood pressure (BP) and headache. However, most of them have a cross‐sectional design or lack a validated definition of a headache‐free population at baseline. Therefore, additional population‐based studies using a clearly defined headache‐free population and a prospective design are warranted.


Human Genetics | 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

Else Eising; Sjoerd M. H. Huisman; Ahmed Mahfouz; Lisanne S. Vijfhuizen; Verneri Anttila; Bendik S. Winsvold; Tobias Kurth; M. Arfan Ikram; Tobias Freilinger; Jaakko Kaprio; Dorret I. Boomsma; Cornelia M. van Duijn; Marjo-Riitta Järvelin; John-Anker Zwart; Lydia Quaye; David P. Strachan; Christian Kubisch; Martin Dichgans; George Davey Smith; Kari Stefansson; Aarno Palotie; Daniel I. Chasman; Michel D. Ferrari; Gisela M. Terwindt; Boukje de Vries; Dale R. Nyholt; Boudewijn P. F. Lelieveldt; Arn M. J. M. van den Maagdenberg; Marcel J. T. Reinders

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.


Cephalalgia | 2015

Candidate-gene association study searching for genetic factors involved in migraine chronification

Ma Louter; Jèssica Fernández-Morales; B. de Vries; Bendik S. Winsvold; Verneri Anttila; I Fernandez-Cadenas; Marta Vila-Pueyo; Cèlia Sintas; C. M. van Duijn; Bru Cormand; J Álvarez-Sabin; J Montaner; Ferrari; Amjm van den Maagdenberg; Aarno Palotie; John-Anker Zwart; Alfons Macaya; Gisela M. Terwindt; Patricia Pozo-Rosich

Introduction Chronic migraine (CM) is at the severe end of the clinical migraine spectrum, but its genetic background is unknown. Our study searched for evidence that genetic factors are involved in the chronification process. Methods We initially selected 144 single-nucleotide polymorphisms (SNPs) from 48 candidate genes, which we tested for association in two stages: The first stage encompassed 262 CM patients, the second investigated 226 patients with high-frequency migraine (HFM). Subsequently, SNPs with p values < 0.05 were forwarded to the replication stage containing 531 patients with CM or HFM. Results Eight SNPs were significantly associated with CM and HFM in the two-stage phase. None survived replication in the third stage. Discussion We present the first comprehensive genetic association study for migraine chronification. There were no significant findings. Future studies may benefit from larger, genome-wide data sets or should use other genetic approaches to identify genetic factors involved in migraine chronification.

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Gisela M. Terwindt

Leiden University Medical Center

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Mikko Kallela

Helsinki University Central Hospital

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Daniel I. Chasman

Brigham and Women's Hospital

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Dale R. Nyholt

Queensland University of Technology

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