精神分裂症、心脏代谢和炎症相关特征之间共享遗传病因学的证据:遗传相关性和共定位分析。

Schizophrenia Bulletin Open Pub Date : 2022-01-11 eCollection Date: 2022-01-01 DOI:10.1093/schizbullopen/sgac001
Benjamin I Perry, Nicholas Bowker, Stephen Burgess, Nicholas J Wareham, Rachel Upthegrove, Peter B Jones, Claudia Langenberg, Golam M Khandaker
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引用次数: 0

摘要

背景:精神分裂症通常与心脏代谢和炎症相关特征同时存在。目前还不清楚这种并发症在多大程度上可以用共同的遗传病因来解释:我们利用 GWAS 数据估算了精神分裂症、心脏代谢和炎症相关特征(空腹胰岛素、空腹血糖、糖化血红蛋白、葡萄糖耐量、2 型糖尿病、血脂、体重指数、冠状动脉疾病和 C 反应蛋白)之间的共同遗传病因。我们使用连锁不平衡评分回归(LDSC)检验了全基因组相关性;使用遗传协方差分析仪(GNOVA)按次要等位基因频率进行了分层;然后使用遗传率估计汇总统计(ρ-HESS)将相关性细化到位点水平。具有局部相关性的区域被用于假设优先级多性状共线性,以检查共线性,这意味着共同的遗传病因:结果:我们发现精神分裂症与 T2D(rg = -0.07;95% C.I.,-0.03,0.12;P = .002)和 BMI(rg = -0.09;95% C.I.,-0.06,-0.12;P = 1.83 × 10-5)存在弱的全基因组负相关。我们发现,精神分裂症与心血管代谢特征之间的正遗传相关性的证据趋势仅限于低频变异。其中有 85 个基因位点级相关区域存在相反机制的证据。有 10 个基因位点显示出强烈的共定位证据。其中四个基因位点(rs6265 (BDNF);rs8192675 (SLC2A2);rs3800229 (FOXO3);rs17514846 (FURIN))与脑源性神经营养因子(BDNF)相关途径有牵连:LDSC可能会导致精神分裂症、心脏代谢和炎症相关特征之间的遗传相关性估计值向下偏移。这些特征的共同遗传因子可能仅限于低频率的共同变异,并涉及相反的机制。与 BDNF 和葡萄糖转运等相关的基因可能部分解释了精神分裂症和心脏代谢紊乱之间的共病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evidence for Shared Genetic Aetiology Between Schizophrenia, Cardiometabolic, and Inflammation-Related Traits: Genetic Correlation and Colocalization Analyses.

Evidence for Shared Genetic Aetiology Between Schizophrenia, Cardiometabolic, and Inflammation-Related Traits: Genetic Correlation and Colocalization Analyses.

Evidence for Shared Genetic Aetiology Between Schizophrenia, Cardiometabolic, and Inflammation-Related Traits: Genetic Correlation and Colocalization Analyses.

Evidence for Shared Genetic Aetiology Between Schizophrenia, Cardiometabolic, and Inflammation-Related Traits: Genetic Correlation and Colocalization Analyses.

Background: Schizophrenia commonly co-occurs with cardiometabolic and inflammation-related traits. It is unclear to what extent the comorbidity could be explained by shared genetic aetiology.

Methods: We used GWAS data to estimate shared genetic aetiology between schizophrenia, cardiometabolic, and inflammation-related traits: fasting insulin (FI), fasting glucose, glycated haemoglobin, glucose tolerance, type 2 diabetes (T2D), lipids, body mass index (BMI), coronary artery disease (CAD), and C-reactive protein (CRP). We examined genome-wide correlation using linkage disequilibrium score regression (LDSC); stratified by minor-allele frequency using genetic covariance analyzer (GNOVA); then refined to locus-level using heritability estimation from summary statistics (ρ-HESS). Regions with local correlation were used in hypothesis prioritization multi-trait colocalization to examine for colocalisation, implying common genetic aetiology.

Results: We found evidence for weak genome-wide negative correlation of schizophrenia with T2D (rg = -0.07; 95% C.I., -0.03,0.12; P = .002) and BMI (rg = -0.09; 95% C.I., -0.06, -0.12; P = 1.83 × 10-5). We found a trend of evidence for positive genetic correlation between schizophrenia and cardiometabolic traits confined to lower-frequency variants. This was underpinned by 85 regions of locus-level correlation with evidence of opposing mechanisms. Ten loci showed strong evidence of colocalization. Four of those (rs6265 (BDNF); rs8192675 (SLC2A2); rs3800229 (FOXO3); rs17514846 (FURIN)) are implicated in brain-derived neurotrophic factor (BDNF)-related pathways.

Conclusions: LDSC may lead to downwardly-biased genetic correlation estimates between schizophrenia, cardiometabolic, and inflammation-related traits. Common genetic aetiology for these traits could be confined to lower-frequency common variants and involve opposing mechanisms. Genes related to BDNF and glucose transport amongst others may partly explain the comorbidity between schizophrenia and cardiometabolic disorders.

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