Positional integration of lung adenocarcinoma susceptibility loci with primary human alveolar epithelial cell epigenomes

Author:

Yang Chenchen123,Stueve Theresa Ryan1234,Yan Chunli123,Rhie Suhn K123,Mullen Daniel J123,Luo Jiao25,Zhou Beiyun356,Borok Zea2356,Marconett Crystal N123,Offringa Ite A123

Affiliation:

1. Department of Surgery, University of Southern California, CA 90089, USA

2. Department of Biochemistry & Molecular Medicine, University of Southern California, CA 90089, USA

3. Norris Comprehensive Cancer Center, University of Southern California, CA 90089, USA

4. Department of Preventive Medicine, University of Southern California, CA 90089, USA

5. Department of Medicine, Division of Pulmonary & Critical Care & Sleep Medicine, University of Southern California, CA 90089, USA

6. Hastings Center for Pulmonary Research, Keck School of Medicine, University of Southern California, CA 90089, USA

Abstract

Aim: To identify functional lung adenocarcinoma (LUAD) risk SNPs. Materials & methods: Eighteen validated LUAD risk SNPs (p ≤ 5 × 10-8) and 930 SNPs in high linkage disequilibrium (r2 > 0.5) were integrated with epigenomic information from primary human alveolar epithelial cells. Enhancer-associated SNPs likely affecting transcription factor-binding sites were predicted. Three SNPs were functionally investigated using luciferase assays, expression quantitative trait loci and cancer-specific expression. Results: Forty-seven SNPs mapped to putative enhancers; 11 located to open chromatin. Of these, seven altered predicted transcription factor-binding motifs. Rs6942067 showed allele-specific luciferase expression and expression quantitative trait loci analysis indicates that it influences expression of DCBLD1, a gene that encodes an unknown membrane protein and is overexpressed in LUAD. Conclusion: Integration of candidate LUAD risk SNPS with epigenomic marks from normal alveolar epithelium identified numerous candidate functional LUAD risk SNPs including rs6942067, which appears to affect DCBLD1 expression. Data deposition: Data are provided in GEO record GSE84273.

Publisher

Future Medicine Ltd

Subject

Cancer Research,Genetics

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