Department of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong, China.
Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong, China.
BMC Med. 2024 Oct 11;22(1):455. doi: 10.1186/s12916-024-03681-9.
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.
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.
We found a positive genetic correlation between DEP and BMI (r 0.19, P = 4.07 × 10), 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). Compared with healthy controls, the expression levels of NEGR1 gene were significant lower in brain tissues of individuals with depression and obesity.
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.
越来越多的证据支持抑郁(DEP)和肥胖之间的共病性,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 的多基因重叠和因果关联。
我们基于全基因组关联研究(GWAS),使用双变量因果混合模型和连锁不平衡评分回归(LDSC),调查了 DEP(N>130 万)和 BMI(N=806834)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)探索因果关联。通过跨特征荟萃分析确定常见风险位点。应用分层 LDSC 和多标记基因注释分析,研究组织类型、细胞类型和功能类别中单核苷酸多态性的富集情况。最后,我们通过基于汇总数据的孟德尔随机化(SMR)探索共享功能基因,并进一步检测抑郁和肥胖个体脑组织中的差异表达基因(DEG)。
我们发现 DEP 和 BMI 之间存在正遗传相关性(r 0.19,P=4.07×10),在局部基因组区域更为明显。跨特征荟萃分析确定了 16 个共享遗传位点,其中 5 个是新发现的,它们对两种疾病的影响方向相同。MR 分析表明,DEP 和 BMI 之间存在双向因果关联,两个方向估计的效应大小相当。结合基因表达信息,我们发现,DEP 和 BMI 之间的遗传相关性在 6 个脑区中富集,主要在伏隔核和前扣带皮层。此外,还发现 6 种特定的细胞类型和 23 个功能基因在整个脑区对 DEP 和 BMI 都有影响。其中,NEGR1 被确定为最显著的功能基因,在全基因组显著水平上与 DEP 和 BMI 相关(P<5×10)。与健康对照组相比,抑郁和肥胖个体脑组织中 NEGR1 基因的表达水平显著降低。
我们的研究揭示了 DEP 和 BMI 之间的共同遗传基础,包括遗传相关性和共同基因。这些发现为研究它们的共病性提供了新的机会和途径。