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Assessing risk factors for migraine: differences in gender transmission.


ABSTRACT:

Aim

Our aim was to assess which specific factors are contributing to an increased risk of migraine in a group of 131 Portuguese families.

Methods

We studied 319 first-degree relatives, using a multilevel approach to account for the dependency among members from the same family. We included in the model relative's gender, the proband's gender and age-at-onset, to evaluate if any of these variables were associated with relative's affection status. We also included in the model proband's migraine subtype. We further assessed female and male transmissions within the proband nuclear family.

Results

Relatives' gender was found to be a risk factor for migraine (Odds Ratio = 2.86; 95% CI = 1.75-4.67), with females at a higher risk. When splitting probands according to their migraine subtype, we found that none of the variables studied contributed to relatives of MA-probands affection-status. Our results also show a significant difference between proband's transmission and the gender of the parents and offspring.

Conclusions

With this study, we showed that gender is truly a risk factor for migraine and that a gender-biased transmission is also observed. This reinforce the importance of identifying genes associated with migraine that are modulated by genes located in the sex chromosomes and the study of mitochondrial DNA or X-chromosome and hormonal-related effects associated with migraine susceptibility.

SUBMITTER: Lemos C 

PROVIDER: S-EPMC3503874 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Publications

Assessing risk factors for migraine: differences in gender transmission.

Lemos Carolina C   Alonso Isabel I   Barros José J   Sequeiros Jorge J   Pereira-Monteiro José J   Mendonça Denisa D   Sousa Alda A  

PloS one 20121121 11


<h4>Aim</h4>Our aim was to assess which specific factors are contributing to an increased risk of migraine in a group of 131 Portuguese families.<h4>Methods</h4>We studied 319 first-degree relatives, using a multilevel approach to account for the dependency among members from the same family. We included in the model relative's gender, the proband's gender and age-at-onset, to evaluate if any of these variables were associated with relative's affection status. We also included in the model proba  ...[more]

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