| Literature DB >> 35717579 |
Jian Sang1, Tongwu Zhang1, Jung Kim1, Mengying Li1, Angela C Pesatori2, Dario Consonni3, Lei Song4, Jia Liu4, Wei Zhao1, Phuc H Hoang1, Dave S Campbell5, James Feng1, Monica E D'Arcy1, Naoise Synnott1, Yingxi Chen1, Zeni Wu1, Bin Zhu1, Xiaohong R Yang1, Kevin M Brown1, Jiyeon Choi1, Jianxin Shi1, Maria Teresa Landi1.
Abstract
Although multiple common susceptibility loci for lung cancer (LC) have been identified by genome-wide association studies, they can explain only a small portion of heritability. The etiological contribution of rare deleterious variants (RDVs) to LC risk is not fully characterized and may account for part of the missing heritability. Here, we sequenced the whole exomes of 2777 participants from the Environment and Genetics in Lung cancer Etiology study, a homogenous population including 1461 LC cases and 1316 controls. In single-variant analyses, we identified a new RDV, rs77187983 [EHBP1, odds ratio (OR) = 3.13, 95% confidence interval (CI) = 1.34-7.30, P = 0.008] and replicated two previously reported RDVs, rs11571833 (BRCA2, OR = 2.18; 95% CI = 1.25-3.81, P = 0.006) and rs752672077 (MPZL2, OR = 3.70, 95% CI = 1.04-13.15, P = 0.044). In gene-based analyses, we confirmed BRCA2 (P = 0.007) and ATM (P = 0.014) associations with LC risk and identified TRIB3 (P = 0.009), involved in maintaining genome stability and DNA repair, as a new candidate susceptibility gene. Furthermore, cases were enriched with RDVs in homologous recombination repair [carrier frequency (CF) = 22.9% versus 19.5%, P = 0.017] and Fanconi anemia (CF = 12.5% versus 10.2%, P = 0.036) pathways. Our results were not significant after multiple testing corrections but were enriched in cases versus controls from large scale public biobank resources, including The Cancer Genome Atlas, FinnGen and UK Biobank. Our study identifies novel candidate genes and highlights the importance of RDVs in DNA repair-related genes for LC susceptibility. These findings improve our understanding of LC heritability and may contribute to the development of risk stratification and prevention strategies. Published by Oxford University Press 2022.Entities:
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Year: 2022 PMID: 35717579 PMCID: PMC9558843 DOI: 10.1093/hmg/ddac123
Source DB: PubMed Journal: Hum Mol Genet ISSN: 0964-6906 Impact factor: 5.121