Genetic epidemiology of migraine and depression

, Ligthart, Lannie, Terwindt, Gisela, Boomsma, Dorret, , & (2016) Genetic epidemiology of migraine and depression. Cephalalgia, 36(7), pp. 679-691.

View at publisher

Description

Background - Migraine and major depressive disorder (commonly referred to as depression) are both common disorders with a significant impact on society. Studies in both clinical and community-based settings have demonstrated a strong relationship between migraine and depression. In addition to complicating the diagnosis, depression that is comorbid with migraine may lower treatment adherence, increase risk of medication overuse and is associated with migraine chronification, thus leading to higher direct and indirect costs and poorer health-related outcomes with increased disability. Aim - The aim of this review is to summarise the current knowledge on the genetic epidemiology of migraine and depression and the possible biological mechanisms underlying their comorbidity. Methods - We present a narrative review reporting on the current literature. Results and conclusions - Epidemiological findings indicate that there is a bidirectional relationship between migraine and depression, with one disorder increasing the risk for the other and vice versa, suggesting shared biological mechanisms. Twin and family studies indicate that this bidirectional relationship can be explained, at least partly, by shared underlying genetically determined disease mechanisms. Although no genes have been robustly associated with the aetiology of both migraine and depression, genes from serotonergic, dopaminergic and GABAergic systems together with variants in the MTHFR and BDNF genes remain strong candidates.

Impact and interest:

53 citations in Scopus
35 citations in Web of Science®
Search Google Scholar™

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.

ID Code: 91797
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Nyholt, Daleorcid.org/0000-0001-7159-3040
Measurements or Duration: 13 pages
DOI: 10.1177/0333102416638520
ISSN: 1468-2982
Pure ID: 33019326
Divisions: Past > QUT Faculties & Divisions > Faculty of Health
Past > Institutes > Institute of Health and Biomedical Innovation
Funding:
Copyright Owner: Consult author(s) regarding copyright matters
Copyright Statement: This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
Deposited On: 13 Jan 2016 00:02
Last Modified: 18 Jul 2024 15:08