Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
18636479
TITLE
Common genetic influences underlie comorbidity of migraine and endometriosis.
ABSTRACT
We examined the co-occurrence of migraine and endometriosis within the largest known collection of families containing multiple women with surgically confirmed endometriosis and in an independent sample of 815 monozygotic and 457 dizygotic female twin pairs. Within the endometriosis families, a significantly increased risk of migrainous headache was observed in women with endometriosis compared to women without endometriosis (odds ratio [OR] 1.57, 95% confidence interval [CI]: 1.12-2.21, P=0.009). Bivariate heritability analyses indicated no evidence for common environmental factors influencing either migraine or endometriosis but significant genetic components for both traits, with heritability estimates of 69 and 49%, respectively. Importantly, a significant additive genetic correlation (r(G) = 0.27, 95% CI: 0.06-0.47) and bivariate heritability (h(2)=0.17, 95% CI: 0.08-0.27) was observed between migraine and endometriosis. Controlling for the personality trait neuroticism made little impact on this association. These results confirm the previously reported comorbidity between migraine and endometriosis and indicate common genetic influences completely explain their co-occurrence within individuals. Given pharmacological treatments for endometriosis typically target hormonal pathways and a number of findings provide support for a relationship between hormonal variations and migraine, hormone-related genes and pathways are highly plausible candidates for both migraine and endometriosis. Therefore, taking into account the status of both migraine and endometriosis may provide a novel opportunity to identify the genes underlying them. Finally, we propose that the analysis of such genetically correlated comorbid traits can increase power to detect genetic risk loci through the use of more specific, homogenous and heritable phenotypes.
DATE PUBLISHED
2009 Feb
HISTORY
PUBSTATUS PUBSTATUSDATE
pubmed 2008/07/19 09:00
medline 2009/04/03 09:00
entrez 2008/07/19 09:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Nyholt DR Nyholt Dale R DR Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, QLD, Australia. daleN@qimr.edu.au
Gillespie NG Gillespie Nathan G NG
Merikangas KR Merikangas Kathleen R KR
Treloar SA Treloar Susan A SA
Martin NG Martin Nicholas G NG
Montgomery GW Montgomery Grant W GW
INVESTIGATORS
JOURNAL
VOLUME: 33
ISSUE: 2
TITLE: Genetic epidemiology
ISOABBREVIATION: Genet. Epidemiol.
YEAR: 2009
MONTH: Feb
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1098-2272
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Genet Epidemiol
COUNTRY: United States
ISSNLINKING: 0741-0395
NLMUNIQUEID: 8411723
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, Non-U.S. Gov't
Twin Study
COMMENTS AND CORRECTIONS
REFTYPE REFSOURCE REFPMID NOTE
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GRANTS
GRANTID AGENCY COUNTRY
Z01 MH002804-05 NIMH NIH HHS United States
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Adult
Aged
Australia epidemiology
Comorbidity epidemiology
Endometriosis genetics
Female genetics
Genetic Predisposition to Disease genetics
Humans genetics
Middle Aged genetics
Migraine Disorders genetics
Registries genetics
Risk Factors genetics
Twins, Dizygotic genetics
Twins, Monozygotic genetics
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's
OTHERID SOURCE
NIHMS104887 NLM
PMC2730957 NLM