Department of Epidemiology & Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, 310058, China.
Department of Pathology, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, China.
Eur J Hum Genet. 2018 Jun;26(6):838-847. doi: 10.1038/s41431-018-0108-4. Epub 2018 Feb 23.
Although numbers of genome-wide association studies (GWAS) have been performed for serum lipid levels, limited heritability has been explained. Studies showed that combining data from GWAS and expression quantitative trait loci (eQTLs) signals can both enhance the discovery of trait-associated SNPs and gain a better understanding of the mechanism. We performed an annotation-based, multistage genome-wide screening for serum-lipid-level-associated loci in totally 6863 Han Chinese. A serum high-density lipoprotein cholesterol (HDL-C) associated variant rs1880118 (hg19 chr7:g. 6435220G>C) was replicated (P = 1.4E-10). rs1880118 was associated with DAGLB (diacylglycerol lipase, beta) expression levels in subcutaneous adipose tissue (P = 5.9E-42) and explained 47.7% of the expression variance. After the replication, an active segment covering variants tagged by rs1880118 near 5' of DAGLB was annotated using histone modification and transcription factor binding signals. The luciferase report assay revealed that the segment containing the minor alleles showed increased transcriptional activity compared with segment contains the major alleles, which was consistent with the eQTL analyses. The expression-trait association tests indicated the association between the DAGLB and serum HDL-C levels using gene-based approaches called "TWAS" (P = 3.0E-8), "SMR" (P = 1.1E-4), and "Sherlock" (P = 1.6E-6). To summarize, we identified a novel HDL-C-associated variant which explained nearly half of the expression variance of DAGLB. Integrated analyses established a genotype-gene-phenotype three-way association and expanded our knowledge of DAGLB in lipid metabolism.
尽管已经进行了许多针对血清脂质水平的全基因组关联研究(GWAS),但仍有有限的遗传性可以解释。研究表明,结合 GWAS 和表达数量性状基因座(eQTLs)信号的数据可以增强与特征相关的 SNP 的发现,并更好地理解机制。我们在总共 6863 名汉族人中进行了基于注释的、多阶段的全基因组血清脂质水平相关基因座筛查。与血清高密度脂蛋白胆固醇(HDL-C)相关的变体 rs1880118(hg19 chr7:g.6435220G>C)得到了复制(P=1.4E-10)。rs1880118与皮下脂肪组织中的 DAGLB(二酰基甘油脂肪酶,β)表达水平相关(P=5.9E-42),并解释了 47.7%的表达方差。复制后,使用组蛋白修饰和转录因子结合信号对 DAGLB 附近的 rs1880118 标记的变体进行注释。荧光素酶报告测定表明,与主要等位基因相比,包含次要等位基因的片段显示出增加的转录活性,这与 eQTL 分析一致。使用称为“TWAS”(P=3.0E-8)、“SMR”(P=1.1E-4)和“Sherlock”(P=1.6E-6)的基于基因的方法进行的表达-特征关联测试表明 DAGLB 与血清 HDL-C 水平之间存在关联。总的来说,我们鉴定了一个新的 HDL-C 相关变体,它解释了 DAGLB 表达变异的近一半。综合分析建立了基因型-基因-表型的三向关联,并扩展了我们对 DAGLB 在脂质代谢中的知识。