Shared genetic components between metabolic syndrome and schizophrenia: Genetic correlation using multipopulation data sets.

Shared genetic components between metabolic syndrome and schizophrenia: Genetic correlation using multipopulation data sets.
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DOI:
10.1111/pcn.13372
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发表时间:
2022-08
影响因子:
11.9
通讯作者:
Iwata, Nakao
Iwata, Nakao
中科院分区:
医学2区
文献类型:
--
作者:
Aoki, Rei;Saito, Takeo;Ninomiya, Kohei;Shimasaki, Ayu;Ashizawa, Takuma;Ito, Kenta;Ikeda, Masashi;Iwata, Nakao

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精神分裂症(SCZ)和其他非精神疾病之间的遗传关系在很大程度上仍然未知。我们基于多人群数据集研究了这些疾病之间的共享遗传成分。我们使用了东亚(EAS)和欧洲(EUR)样本的两个数据集。SCZ数据基于Psychiatric Genomics Consortium Asia以及我们自己的EAS全基因组关联研究和Psychiatric Genomics Consortium for EUR。EAS和EUR样本的非精神病学数据(20个二元性状[主要是非精神病学复杂障碍]和34个数量性状[主要是实验室检查和身体特征])分别来自日本生物样本库和英国生物样本库。为了评估遗传相关性,使用连锁不平衡评分回归分析,并对EAS和EUR样本的每个结果进行进一步Meta分析,以获得可靠的证据。随后的孟德尔随机化分析也包括检查因果关系。在合并样本中检测到SCZ与几个代谢综合征(MetS)性状之间存在显著的遗传相关性(EAS和EUR数据之间的Meta分析)(体重指数[rg =-0.10,q-值= 1.0 × 10 - 9]、高密度脂蛋白胆固醇[rg = 0.072,q-值= 2.9 × 10 - 3]、血糖[rg =-0.068,q-值= 1.0 × 10 - 9])q-值= 1.4 × 10 - 2]、甘油三酯[rg =-0.052,q-值= 2.4 × 10 - 2]、收缩压[rg =-0.054,q-值= 3.5 × 10 - 2]和C-反应蛋白[rg =-0.076,q-值= 7.8 × 10 - 5]。然而,根据孟德尔随机化分析,未检测到这些性状与SCZ易感性之间的因果关系。我们的研究结果表明,SCZ和MetS性状和C反应蛋白之间有共同的遗传成分。具体来说,我们发现有趣的是,MetS性状和SCZ之间的相关性与临床研究的预期相反:这项遗传研究表明,SCZ易感性与MetS减少有关。这意味着SCZ患者的MetS与遗传成分无关,但与环境因素有关,包括抗精神病药物,生活方式改变,饮食不良,缺乏运动和生活条件。
The genetic relationship between schizophrenia (SCZ) and other nonpsychiatric disorders remains largely unknown. We examined the shared genetic components between these disorders based on multipopulation data sets. We used two data sets for East Asian (EAS) and European (EUR) samples. SCZ data was based on the Psychiatric Genomics Consortium Asia with our own genome‐wide association study for EAS and Psychiatric Genomics Consortium for EUR. Nonpsychiatric data (20 binary traits [mainly nonpsychiatric complex disorders] and 34 quantitative traits [mainly laboratory examinations and physical characteristics]) were obtained from Biobank Japan and UK Biobank for EAS and EUR samples, respectively. To evaluate genetic correlation, linkage disequilibrium score regression analysis was utilized with further meta‐analysis for each result from EAS and EUR samples to obtain robust evidence. Subsequent mendelian randomization analysis was also included to examine the causal effect. A significant genetic correlation between SCZ and several metabolic syndrome (MetS) traits was detected in the combined samples (meta‐analysis between EAS and EUR data) (body mass index [rg = −0.10, q‐value = 1.0 × 10−9], high‐density‐lipoprotein cholesterol [rg = 0.072, q‐value = 2.9 × 10−3], blood sugar [rg = −0.068, q‐value = 1.4 × 10−2], triglycerides [rg = −0.052, q‐value = 2.4 × 10−2], systolic blood pressure [rg = −0.054, q‐value = 3.5 × 10−2], and C‐reactive protein [rg = −0.076, q‐value = 7.8 × 10−5]. However, no causal relationship on SCZ susceptibility was detected for these traits based on the mendelian randomization analysis. Our results indicate shared genetic components between SCZ and MetS traits and C‐reactive protein. Specifically, we found it interesting that the correlation between MetS traits and SCZ was the opposite of that expected from clinical studies: this genetic study suggests that SCZ susceptibility was associated with reduced MetS. This implied that MetS in patients with SCZ was not associated with genetic components but with environmental factors, including antipsychotics, lifestyle changes, poor diet, lack of exercise, and living conditions.
DOI: 10.1016/j.bbi.2021.07.009
发表时间: 2021-10
期刊: Brain, behavior, and immunity
影响因子: --
作者:
Perry BI;Upthegrove R;Kappelmann N;Jones PB;Burgess S;Khandaker GM
通讯作者: Khandaker GM
DOI: 10.1038/ng.2711
发表时间: 2013-09
期刊: NATURE GENETICS
影响因子: 30.8
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发表时间: 2016-04-01
影响因子: 11
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