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偏头痛中的性别差异:一项双胞胎研究。

Sex Differences in Migraine: A Twin Study.

作者信息

Fitzgerald Morgan C, Saelzler Ursula G, Panizzon Matthew S

机构信息

Department of Psychiatry, University of California, San Diego, San Diego, CA, United States.

Center for Behavior Genetics of Aging, University of California, San Diego, San Diego, CA, United States.

出版信息

Front Pain Res (Lausanne). 2021 Dec 16;2:766718. doi: 10.3389/fpain.2021.766718. eCollection 2021.

DOI:10.3389/fpain.2021.766718
PMID:35295437
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8915724/
Abstract

Migraine is a neurological disorder with a prominent sex difference such that two thirds of sufferers are female. The mechanisms behind the preponderance of migraine in women have yet to be elucidated. With data on 51,872 participants from the Swedish Twin Registry, we report results from two distinct analyses intended to clarify the degree to which genetic and environmental factors contribute to sex differences in migraine. First, we fit a sex-limitation model to determine if quantitative genetic differences (i.e., is migraine equally heritable across men and women) and/or qualitative genetic differences (i.e., are different genes involved in migraine across men and women) were present. Next, we used a multilevel logistic regression model to compare the prevalence of migraine in individuals from opposite-sex and same-sex twin pairs to determine whether differences in the prenatal hormone environment contribute to migraine risk. In the final analytic sample, women were found to have a significantly higher rate of migraine without aura relative to men (17.6% vs. 5.5%). The results from an ADE sex-limitation model indicate that migraine is equally heritable in men and women, with a broad sense heritability of 0.45, (95% CI = 0.40-0.50), while results from a reduced AE sex-limitation model provide subtle evidence for differences in the genes underlying migraine across men and women. The logistic regression analysis revealed a significant increase in migraine risk for females with a male co-twin relative to females with a female co-twin (OR = 1.51, 95% CI = 1.26-1.81). These results suggest that the prominent sex difference in migraine prevalence is not entirely accounted for by genetic factors, while demonstrating that masculinization of the prenatal environment may increase migraine risk for females. This effect points to a potential prenatal neuroendocrine factor in the development of migraine.

摘要

偏头痛是一种神经系统疾病,存在显著的性别差异,三分之二的患者为女性。女性偏头痛患病率较高背后的机制尚未阐明。基于瑞典双胞胎登记处51872名参与者的数据,我们报告了两项不同分析的结果,旨在阐明遗传和环境因素对偏头痛性别差异的影响程度。首先,我们拟合了一个性别限制模型,以确定是否存在数量遗传差异(即偏头痛在男性和女性中的遗传度是否相同)和/或质量遗传差异(即男性和女性中涉及偏头痛的基因是否不同)。接下来,我们使用多水平逻辑回归模型比较异性和同性双胞胎对个体中偏头痛的患病率,以确定产前激素环境的差异是否会导致偏头痛风险。在最终分析样本中,发现无先兆偏头痛女性的发病率相对于男性显著更高(17.6%对5.5%)。ADE性别限制模型的结果表明,偏头痛在男性和女性中的遗传度相同,广义遗传度为0.45,(95%可信区间=0.40-0.50),而简化的AE性别限制模型的结果为男性和女性偏头痛潜在基因的差异提供了细微证据。逻辑回归分析显示,与有女性同卵双胞胎的女性相比,有男性同卵双胞胎的女性偏头痛风险显著增加(比值比=1.51,95%可信区间=1.26-1.81)。这些结果表明,偏头痛患病率中显著的性别差异不能完全由遗传因素解释,同时表明产前环境的男性化可能会增加女性的偏头痛风险。这种效应指出了偏头痛发展中潜在的产前神经内分泌因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cd6/8915724/0bf1ba3416d7/fpain-02-766718-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cd6/8915724/67f53a3efdd7/fpain-02-766718-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cd6/8915724/0bf1ba3416d7/fpain-02-766718-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cd6/8915724/67f53a3efdd7/fpain-02-766718-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cd6/8915724/0bf1ba3416d7/fpain-02-766718-g0002.jpg

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Epigenetic consequences of hormonal interactions between opposite-sex twin fetuses.异性双胞胎胎儿之间激素相互作用的表观遗传学后果。
Clin Transl Med. 2020 Dec;10(8):e234. doi: 10.1002/ctm2.234.
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Developmental programming: gestational testosterone excess disrupts LH secretion in the female sheep fetus.发育编程:妊娠期睾酮过多会破坏雌性绵羊胎儿的 LH 分泌。
Reprod Biol Endocrinol. 2020 Nov 7;18(1):106. doi: 10.1186/s12958-020-00667-z.
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Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.204 个国家和地区 1990-2019 年 369 种疾病和伤害导致的全球负担:2019 年全球疾病负担研究的系统分析。
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Alzheimers Dement (Amst). 2020 Jun 21;12(1):e12049. doi: 10.1002/dad2.12049. eCollection 2020.
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