Common polygenic variation contributes to risk of migraine in the Norfolk Island population

Rodriguez-Acevedo, Astrid J., Ferreira, Manuel A., Benton, Miles C., Carless, Melanie A., Göring, Harald H., Curran, Joanne E., Blangero, John, Lea, Rod A., & Griffiths, Lyn R. (2015) Common polygenic variation contributes to risk of migraine in the Norfolk Island population. Human Genetics, 134(10), pp. 1079-1087.

View at publisher

Abstract

Migraine has been defined as a common disabling primary headache disorder. Epidemiology studies have provided with the undeniable evidence of genetic components as active players in the development of the disease under a polygenic model in which multiple risk alleles exert modest individual effects. Our objective was to test the contribution of a polygenic effect to migraine risk in the Norfolk Island population using a panel of SNPs reported to be disease associated in published migraine GWAS. We also investigated whether individual SNPs were associated with gene expression levels measured in whole-blood. Polygenic scores were calculated in a total of 285 related individuals (74 cases, 211 controls) from the Norfolk Island using 51 SNPs previously reported to be associated with migraine in published GWAS. The association between polygenic score and migraine case-control status was tested using logistic regression. Results indicate that a migraine polygenic risk score was associated with migraine case-control status in this population (P=0.016). This supports the hypothesis that multiple SNPs with weak effects collectively contribute to migraine risk in this population. Amongst the SNPs included in the polygenic model, 4 were associated with the expression of the USMG5 gene, including rs171251 (P = 0.012). Results from this study provide evidence for a polygenic contribution to migraine risk in an isolated population and highlight specific SNPs that regulate the expression of USMG5, a gene critical for mitochondrial function.

Impact and interest:

1 citations in Scopus
Search Google Scholar™
1 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

2 since deposited on 23 Sep 2015
1 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 87673
Item Type: Journal Article
Refereed: Yes
Keywords: migraine, polygenic score, eQTL analysis, genetic isolate, USMG5
DOI: 10.1007/s00439-015-1587-9
ISSN: 1432-1203
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2015 Springer
Copyright Statement: The final publication is available at Springer via http://dx.doi.org/10.1007/s00439-015-1587-9
Deposited On: 23 Sep 2015 23:13
Last Modified: 08 Nov 2016 13:49

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page