| Literature DB >> 30590402 |
Juncheng Dai1,2, Zhihua Li1,3, Christopher I Amos4, Rayjean J Hung5,6, Adonina Tardon7, Angeline S Andrew8, Chu Chen9, David C Christiani10,11, Demetrios Albanes12, Erik H F M van der Heijden13, Eric J Duell14, Gad Rennert15, James D Mckay16, Jian-Min Yuan17, John K Field18, Jonas Manjer19,20, Kjell Grankvist21, Loic Le Marchand22, M Dawn Teare23, Matthew B Schabath24, Melinda C Aldrich25, Ming-Sound Tsao26, Philip Lazarus27, Stephen Lam28, Stig E Bojesen29,30,31, Susanne Arnold32, Xifeng Wu33, Aage Haugen34, Vladimir Janout35, Mikael Johansson36, Yonathan Brhane5,6, Ana Fernandez-Somoano7, Lambertus A Kiemeney13, Michael P A Davies18, Shanbeh Zienolddiny34, Zhibin Hu1,2, Hongbing Shen1,2.
Abstract
DNase I hypersensitive sites (DHS) are abundant in regulatory elements, such as promoter, enhancer and transcription factor binding sites. Many studies have revealed that disease-associated variants were concentrated in DHS-related regions. However, limited studies are available on the roles of DHS-related variants in lung cancer. In this study, we performed a large-scale case-control study with 20 871 lung cancer cases and 15 971 controls to evaluate the associations between regulatory genetic variants in DHS and lung cancer susceptibility. The expression quantitative trait loci (eQTL) analysis and pathway-enrichment analysis were performed to identify the possible target genes and pathways. In addition, we performed motif-based analysis to explore the lung-cancer-related motifs using sequence kernel association test. Two novel variants, rs186332 in 20q13.3 (C>T, odds ratio [OR] = 1.17, 95% confidence interval [95% CI]: 1.10-1.24, P = 8.45 × 10-7) and rs4839323 in 1p13.2 (T>C, OR = 0.92, 95% CI: 0.89-0.95, P = 1.02 × 10-6) showed significant association with lung cancer risk. The eQTL analysis suggested that these two SNPs might regulate the expression of MRGBP and SLC16A1, respectively. What's more, the expression of both MRGBP and SLC16A1 was aberrantly elevated in lung tumor tissues. The motif-based analysis identified 10 motifs related to the risk of lung cancer (P < 1.71 × 10-4). Our findings suggested that variants in DHS might modify lung cancer susceptibility through regulating the expression of surrounding genes. This study provided us a deeper insight into the roles of DHS-related genetic variants for lung cancer.Entities:
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Year: 2019 PMID: 30590402 PMCID: PMC6783905 DOI: 10.1093/carcin/bgy187
Source DB: PubMed Journal: Carcinogenesis ISSN: 0143-3334 Impact factor: 4.944