| Literature DB >> 28968813 |
Cheng Wang1,2,3, Na Qin1,2, Meng Zhu1,2, Minjian Chen4, Kaipeng Xie1,2, Yang Cheng1,2, Juncheng Dai1,2, Jia Liu1,2, Yankai Xia4, Hongxia Ma1,2, Guangfu Jin1,2, Christopher I Amos5, Zhibin Hu1,2, Dongxin Lin6, Hongbing Shen1,2.
Abstract
Quantitative trait loci (QTLs) are widely used as instruments to infer causal risk factors of diseases based on the idea of mendelian randomization. Plasma metabolites can serve as risk factors of cancer, and the heritability of many circulating metabolites was high. We conducted a metabolome-wide association study (MWAS) to systematically investigate the effects of genetic variants on metabolites and lung cancer based on published genome-wide association study (GWASs) and metabolic-QTL (mQTL) study. Then we confirmed the results by subsequent genetic and metabolic validations and inferred the causal relationship between identified metabolites and lung cancer through genetic variant(s). We firstly identified six polyunsaturated fatty acids (PUFAs) represented by rs174548-linked haplotype were significantly associated with lung cancer risk in a Chinese GWAS (2311 cases and 3077 controls). Rs174548 was further confirmed to be associated with lung cancer in 13 821 Europeans and 18 471 Asians (ORmeta = 0.87, Pmeta = 1.76 × 10-15) and the effect was much stronger in females (Pinteraction = 6.00 × 10-4). We next validated rs174548-plasma PUFA association in 253 Chinese subjects (β = -0.57, P = 1.68 × 10-3). Rs174548 was also found associated with FADS1 (the major fatty acid desaturase of identified PUFAs) expression in liver tissues. Taken together, we found that rs174548 was associated with both PUFAs and lung cancer. Because rs174548 was the only mQTL variant of PUFAs reported by previous GWASs and explained a large proportion of heritability, we proposed that plasma PUFAs could be causally associated with lung cancer based on the idea of mendelian randomization. These findings provide a diet-related risk factor and may have important implications for prevention on lung cancer.Entities:
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Year: 2017 PMID: 28968813 PMCID: PMC6410942 DOI: 10.1093/carcin/bgx084
Source DB: PubMed Journal: Carcinogenesis ISSN: 0143-3334 Impact factor: 4.944