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A genome-wide analysis in cluster headache points to neprilysin and PACAP receptor gene variants

BACKGROUND: Cluster Headache (CH) is a severe primary headache, with a poorly understood pathophysiology. Complex genetic factors are likely to play a role in CH etiology; however, no confirmed gene associations have been identified. The aim of this study is to identify genetic variants influencing...

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Autores principales: Bacchelli, Elena, Cainazzo, Maria Michela, Cameli, Cinzia, Guerzoni, Simona, Martinelli, Angela, Zoli, Michele, Maestrini, Elena, Pini, Luigi Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153392/
https://www.ncbi.nlm.nih.gov/pubmed/27957625
http://dx.doi.org/10.1186/s10194-016-0705-y
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author Bacchelli, Elena
Cainazzo, Maria Michela
Cameli, Cinzia
Guerzoni, Simona
Martinelli, Angela
Zoli, Michele
Maestrini, Elena
Pini, Luigi Alberto
author_facet Bacchelli, Elena
Cainazzo, Maria Michela
Cameli, Cinzia
Guerzoni, Simona
Martinelli, Angela
Zoli, Michele
Maestrini, Elena
Pini, Luigi Alberto
author_sort Bacchelli, Elena
collection PubMed
description BACKGROUND: Cluster Headache (CH) is a severe primary headache, with a poorly understood pathophysiology. Complex genetic factors are likely to play a role in CH etiology; however, no confirmed gene associations have been identified. The aim of this study is to identify genetic variants influencing risk to CH and to explore the potential pathogenic mechanisms. METHODS: We have performed a genome-wide association study (GWAS) in a clinically well-defined cohort of 99 Italian patients with CH and in a control sample of 360 age-matched sigarette smoking healthy individuals, using the Infinium PsychArray (Illumina), which combines common highly-informative genome-wide tag SNPs and exonic SNPs. Genotype data were used to carry out a genome-wide single marker case-control association analysis using common SNPs, and a gene-based association analysis focussing on rare protein altering variants in 745 candidate genes with a putative role in CH. RESULTS: Although no single variant showed statistically significant association at the genome-wide threshold, we identified an interesting suggestive association (P = 9.1 × 10(−6)) with a common variant of the PACAP receptor gene (ADCYAP1R1). Furthermore, gene-based analysis provided significant evidence of association (P = 2.5 × 10(−5)) for a rare potentially damaging missense variant in the MME gene, encoding for the membrane metallo-endopeptidase neprilysin. CONCLUSIONS: Our study represents the first genome-wide association study of common SNPs and rare exonic variants influencing risk for CH. The most interesting results implicate ADCYAP1R1 and MME gene variants in CH susceptibility and point to a role for genes involved in pain processing. These findings provide new insights into the pathogenesis of CH that need further investigation and replication in larger CH samples. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s10194-016-0705-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-51533922016-12-27 A genome-wide analysis in cluster headache points to neprilysin and PACAP receptor gene variants Bacchelli, Elena Cainazzo, Maria Michela Cameli, Cinzia Guerzoni, Simona Martinelli, Angela Zoli, Michele Maestrini, Elena Pini, Luigi Alberto J Headache Pain Research Article BACKGROUND: Cluster Headache (CH) is a severe primary headache, with a poorly understood pathophysiology. Complex genetic factors are likely to play a role in CH etiology; however, no confirmed gene associations have been identified. The aim of this study is to identify genetic variants influencing risk to CH and to explore the potential pathogenic mechanisms. METHODS: We have performed a genome-wide association study (GWAS) in a clinically well-defined cohort of 99 Italian patients with CH and in a control sample of 360 age-matched sigarette smoking healthy individuals, using the Infinium PsychArray (Illumina), which combines common highly-informative genome-wide tag SNPs and exonic SNPs. Genotype data were used to carry out a genome-wide single marker case-control association analysis using common SNPs, and a gene-based association analysis focussing on rare protein altering variants in 745 candidate genes with a putative role in CH. RESULTS: Although no single variant showed statistically significant association at the genome-wide threshold, we identified an interesting suggestive association (P = 9.1 × 10(−6)) with a common variant of the PACAP receptor gene (ADCYAP1R1). Furthermore, gene-based analysis provided significant evidence of association (P = 2.5 × 10(−5)) for a rare potentially damaging missense variant in the MME gene, encoding for the membrane metallo-endopeptidase neprilysin. CONCLUSIONS: Our study represents the first genome-wide association study of common SNPs and rare exonic variants influencing risk for CH. The most interesting results implicate ADCYAP1R1 and MME gene variants in CH susceptibility and point to a role for genes involved in pain processing. These findings provide new insights into the pathogenesis of CH that need further investigation and replication in larger CH samples. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s10194-016-0705-y) contains supplementary material, which is available to authorized users. Springer Milan 2016-12-13 /pmc/articles/PMC5153392/ /pubmed/27957625 http://dx.doi.org/10.1186/s10194-016-0705-y Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Article
Bacchelli, Elena
Cainazzo, Maria Michela
Cameli, Cinzia
Guerzoni, Simona
Martinelli, Angela
Zoli, Michele
Maestrini, Elena
Pini, Luigi Alberto
A genome-wide analysis in cluster headache points to neprilysin and PACAP receptor gene variants
title A genome-wide analysis in cluster headache points to neprilysin and PACAP receptor gene variants
title_full A genome-wide analysis in cluster headache points to neprilysin and PACAP receptor gene variants
title_fullStr A genome-wide analysis in cluster headache points to neprilysin and PACAP receptor gene variants
title_full_unstemmed A genome-wide analysis in cluster headache points to neprilysin and PACAP receptor gene variants
title_short A genome-wide analysis in cluster headache points to neprilysin and PACAP receptor gene variants
title_sort genome-wide analysis in cluster headache points to neprilysin and pacap receptor gene variants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153392/
https://www.ncbi.nlm.nih.gov/pubmed/27957625
http://dx.doi.org/10.1186/s10194-016-0705-y
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