Systematic re-evaluation of genes from candidate gene association studies in migraine using a large genome-wide association data set

Boukje de Vries; Verneri Anttila; Tobias Freilinger; Maija Wessman; Mari A Kaunisto; Mikko Kallela; Ville Artto; Lisanne S Vijfhuizen; Hartmut Göbel; Martin Dichgans; Christian Kubisch; Michel D Ferrari; Aarno Palotie; Gisela M Terwindt; Arn Mjm van den Maagdenberg

doi:10.1177/0333102414566820

Systematic re-evaluation of genes from candidate gene association studies in migraine using a large genome-wide association data set

Standard

Systematic re-evaluation of genes from candidate gene association studies in migraine using a large genome-wide association data set. / de Vries, Boukje; Anttila, Verneri; Freilinger, Tobias; Wessman, Maija; Kaunisto, Mari A; Kallela, Mikko; Artto, Ville; Vijfhuizen, Lisanne S; Göbel, Hartmut; Dichgans, Martin; Kubisch, Christian; Ferrari, Michel D; Palotie, Aarno; Terwindt, Gisela M; van den Maagdenberg, Arn Mjm.

In: CEPHALALGIA, Vol. 36, No. 7, 01.06.2016, p. 604-14.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

de Vries, B, Anttila, V, Freilinger, T, Wessman, M, Kaunisto, MA, Kallela, M, Artto, V, Vijfhuizen, LS, Göbel, H, Dichgans, M, Kubisch, C, Ferrari, MD, Palotie, A, Terwindt, GM & van den Maagdenberg, AM 2016, 'Systematic re-evaluation of genes from candidate gene association studies in migraine using a large genome-wide association data set', CEPHALALGIA, vol. 36, no. 7, pp. 604-14. https://doi.org/10.1177/0333102414566820

APA

de Vries, B., Anttila, V., Freilinger, T., Wessman, M., Kaunisto, M. A., Kallela, M., Artto, V., Vijfhuizen, L. S., Göbel, H., Dichgans, M., Kubisch, C., Ferrari, M. D., Palotie, A., Terwindt, G. M., & van den Maagdenberg, A. M. (2016). Systematic re-evaluation of genes from candidate gene association studies in migraine using a large genome-wide association data set. CEPHALALGIA, 36(7), 604-14. https://doi.org/10.1177/0333102414566820

Vancouver

de Vries B, Anttila V, Freilinger T, Wessman M, Kaunisto MA, Kallela M et al. Systematic re-evaluation of genes from candidate gene association studies in migraine using a large genome-wide association data set. CEPHALALGIA. 2016 Jun 1;36(7):604-14. https://doi.org/10.1177/0333102414566820

Bibtex

@article{0f98958623664390ac485d62ecdf22e1,

title = "Systematic re-evaluation of genes from candidate gene association studies in migraine using a large genome-wide association data set",

abstract = "BACKGROUND: Before the genome-wide association (GWA) era, many hypothesis-driven candidate gene association studies were performed that tested whether DNA variants in genes that had been selected based on prior knowledge about migraine pathophysiology were associated with migraine. Most studies involved small sample sets without robust replication, thereby making the risk of false-positive findings high. Genome-wide marker data of thousands of migraine patients and controls from the International Headache Genetics Consortium provide a unique opportunity to re-evaluate key findings from candidate gene association studies (and other non-GWA genetic studies) in a much larger data set.METHODS: We selected 21 genes from published candidate gene association studies and six additional genes from other non-GWA genetic studies in migraine. Single nucleotide polymorphisms (SNPs) in these genes, as well as in the regions 500 kb up- and downstream, were inspected in IHGC GWAS data from 5175 clinic-based migraine patients with and without aura and 13,972 controls.RESULTS: None of the SNPs in or near the 27 genes, including the SNPs that were previously found to be associated with migraine, reached the Bonferroni-corrected significance threshold; neither when analyzing all migraine patients together, nor when analyzing the migraine with and without aura patients or males and females separately.CONCLUSION: The available migraine GWAS data provide no clear evidence for involvement of the previously reported most promising candidate genes in migraine.",

author = "{de Vries}, Boukje and Verneri Anttila and Tobias Freilinger and Maija Wessman and Kaunisto, {Mari A} and Mikko Kallela and Ville Artto and Vijfhuizen, {Lisanne S} and Hartmut G{\"o}bel and Martin Dichgans and Christian Kubisch and Ferrari, {Michel D} and Aarno Palotie and Terwindt, {Gisela M} and {van den Maagdenberg}, {Arn Mjm}",

note = "{\textcopyright} International Headache Society 2015 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.",

year = "2016",

month = jun,

day = "1",

doi = "10.1177/0333102414566820",

language = "English",

volume = "36",

pages = "604--14",

journal = "CEPHALALGIA",

issn = "0333-1024",

publisher = "SAGE Publications",

number = "7",

}

RIS

TY - JOUR

T1 - Systematic re-evaluation of genes from candidate gene association studies in migraine using a large genome-wide association data set

AU - de Vries, Boukje

AU - Anttila, Verneri

AU - Freilinger, Tobias

AU - Wessman, Maija

AU - Kaunisto, Mari A

AU - Kallela, Mikko

AU - Artto, Ville

AU - Vijfhuizen, Lisanne S

AU - Göbel, Hartmut

AU - Dichgans, Martin

AU - Kubisch, Christian

AU - Ferrari, Michel D

AU - Palotie, Aarno

AU - Terwindt, Gisela M

AU - van den Maagdenberg, Arn Mjm

PY - 2016/6/1

Y1 - 2016/6/1

N2 - BACKGROUND: Before the genome-wide association (GWA) era, many hypothesis-driven candidate gene association studies were performed that tested whether DNA variants in genes that had been selected based on prior knowledge about migraine pathophysiology were associated with migraine. Most studies involved small sample sets without robust replication, thereby making the risk of false-positive findings high. Genome-wide marker data of thousands of migraine patients and controls from the International Headache Genetics Consortium provide a unique opportunity to re-evaluate key findings from candidate gene association studies (and other non-GWA genetic studies) in a much larger data set.METHODS: We selected 21 genes from published candidate gene association studies and six additional genes from other non-GWA genetic studies in migraine. Single nucleotide polymorphisms (SNPs) in these genes, as well as in the regions 500 kb up- and downstream, were inspected in IHGC GWAS data from 5175 clinic-based migraine patients with and without aura and 13,972 controls.RESULTS: None of the SNPs in or near the 27 genes, including the SNPs that were previously found to be associated with migraine, reached the Bonferroni-corrected significance threshold; neither when analyzing all migraine patients together, nor when analyzing the migraine with and without aura patients or males and females separately.CONCLUSION: The available migraine GWAS data provide no clear evidence for involvement of the previously reported most promising candidate genes in migraine.

AB - BACKGROUND: Before the genome-wide association (GWA) era, many hypothesis-driven candidate gene association studies were performed that tested whether DNA variants in genes that had been selected based on prior knowledge about migraine pathophysiology were associated with migraine. Most studies involved small sample sets without robust replication, thereby making the risk of false-positive findings high. Genome-wide marker data of thousands of migraine patients and controls from the International Headache Genetics Consortium provide a unique opportunity to re-evaluate key findings from candidate gene association studies (and other non-GWA genetic studies) in a much larger data set.METHODS: We selected 21 genes from published candidate gene association studies and six additional genes from other non-GWA genetic studies in migraine. Single nucleotide polymorphisms (SNPs) in these genes, as well as in the regions 500 kb up- and downstream, were inspected in IHGC GWAS data from 5175 clinic-based migraine patients with and without aura and 13,972 controls.RESULTS: None of the SNPs in or near the 27 genes, including the SNPs that were previously found to be associated with migraine, reached the Bonferroni-corrected significance threshold; neither when analyzing all migraine patients together, nor when analyzing the migraine with and without aura patients or males and females separately.CONCLUSION: The available migraine GWAS data provide no clear evidence for involvement of the previously reported most promising candidate genes in migraine.

U2 - 10.1177/0333102414566820

DO - 10.1177/0333102414566820

M3 - SCORING: Journal article

C2 - 25633374

VL - 36

SP - 604

EP - 614

JO - CEPHALALGIA

JF - CEPHALALGIA

SN - 0333-1024

IS - 7

ER -