Dissecting shared genetic architecture between depression and body mass index.

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Hengyu Zhang, Rui Zheng, Binhe Yu, Yuefeng Yu, Xiaomin Luo, Shujuan Yin, Yingjun Zheng, Jie Shi, Sizhi Ai
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引用次数: 0

Abstract

Background: A growing body of evidence supports the comorbidity between depression (DEP) and obesity, yet the genetic mechanisms underlying this association remain unclear. Our study explored the shared genetic architecture and causal associations of DEP with BMI.

Methods: We investigated the multigene overlap and genetic correlation between DEP (N > 1.3 million) and BMI (N = 806,834) based on genome-wide association studies (GWAS) and using the bivariate causal mixture model and linkage disequilibrium score regression (LDSC). The causal association was explored by bi-directional Mendelian randomization (MR). Common risk loci were identified through cross-trait meta-analyses. Stratified LDSC and multi-marker gene annotation analyses were applied to investigate single-nucleotide polymorphisms enrichment across tissue types, cell types, and functional categories. Finally, we explored shared functional genes by Summary Data-Based Mendelian Randomization (SMR) and further detected differential expression genes (DEG) in brain tissues of individuals with depression and obesity.

Results: We found a positive genetic correlation between DEP and BMI (rg = 0.19, P = 4.07 × 10-26), which was more evident in local genomic regions. Cross-trait meta-analyses identified 16 shared genetic loci, 5 of which were newly identified, and they had influence on both diseases in the same direction. MR analysis showed a bidirectional causal association between DEP and BMI, with comparable effect sizes estimated in both directions. Combined with gene expression information, we found that genetic correlations between DEP and BMI were enriched in 6 brain regions, predominantly in the nucleus accumbens and anterior cingulate cortex. Moreover, 6 specific cell types and 23 functional genes were found to have an impact on both DEP and BMI across the brain regions. Of which, NEGR1 was identified as the most significant functional gene and associated with DEP and BMI at the genome-wide significance level (P < 5 × 10-8). Compared with healthy controls, the expression levels of NEGR1 gene were significant lower in brain tissues of individuals with depression and obesity.

Conclusions: Our study reveals shared genetic basis underpinnings between DEP and BMI, including genetic correlations and common genes. These insights offer novel opportunities and avenues for future research into their comorbidities.

剖析抑郁症和体重指数之间的共同遗传结构。
背景:越来越多的证据支持抑郁症(DEP)与肥胖之间存在共病关系,但这种关联的遗传机制仍不清楚。我们的研究探讨了 DEP 与 BMI 的共同遗传结构和因果关系:我们在全基因组关联研究(GWAS)的基础上,利用双变量因果混合模型和连锁不平衡评分回归(LDSC),研究了 DEP(N > 130 万)和 BMI(N = 806 834)之间的多基因重叠和遗传相关性。通过双向孟德尔随机化(MR)探讨了因果关联。通过跨性状元分析确定了共同的风险位点。应用分层 LDSC 和多标记基因注释分析来研究不同组织类型、细胞类型和功能类别的单核苷酸多态性富集。最后,我们通过基于数据的孟德尔随机化总结(SMR)探索了共享功能基因,并进一步检测了抑郁症和肥胖症患者脑组织中的差异表达基因(DEG):结果:我们发现 DEP 与 BMI 之间存在正遗传相关性(rg = 0.19,P = 4.07 × 10-26),这种相关性在局部基因组区域更为明显。跨性状荟萃分析发现了16个共有遗传位点,其中5个是新发现的,它们对两种疾病的影响方向相同。磁共振分析表明,DEP与体重指数之间存在双向因果关系,两个方向的效应大小相当。结合基因表达信息,我们发现DEP和BMI之间的遗传相关性富集在6个脑区,主要集中在伏隔核和前扣带回皮层。此外,还发现 6 种特定细胞类型和 23 个功能基因对各脑区的 DEP 和 BMI 均有影响。其中,NEGR1 是最重要的功能基因,在全基因组显著性水平上与 DEP 和 BMI 相关(P -8)。与健康对照组相比,NEGR1基因在抑郁症和肥胖症患者脑组织中的表达水平显著降低:我们的研究揭示了 DEP 和 BMI 之间共同的遗传基础,包括遗传相关性和共同基因。结论:我们的研究揭示了 DEP 和 BMI 的共同遗传基础,包括遗传相关性和共同基因,为今后研究这两种疾病提供了新的机会和途径。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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