Literature DB >> 29394417

Association Analysis Identifies New Risk Loci for Coal Workers' Pneumoconiosis in Han Chinese Men.

Ting Wang1, Yan Li2, Meng Zhu3, Wenxi Yao2, Hongyan Wu1, Xiaoming Ji2, Zhibin Hu3, Hongbing Shen3, Xiangshan Fan1, Chunhui Ni2.   

Abstract

Coal worker's pneumoconiosis (CWP) is a debilitating and progressive occupational lung disease resulted from long-term inhalation of airborne silica-containing coal mine dust. Both environmental factors and genetic variations contribute to CWP. Our previous genome-wide association study (GWAS) revealed a tiny fraction of variants with the top associations in Chinese Han population. To identify novel susceptibility loci of CWP, functional variants with suboptimal associations in the GWAS scan were further studied here. Imputation was firstly performed to access the associations between ungenotyped variants and CWP risk, and suboptimal associations with p < 1.0 × 10-3 were annotated with genotype-tissue expression (GTEx) and dbNSFP. Further, expression quantitative trait loci (eQTL) and nonsynonymous variants were validated within an independent cohort with 703 CWP cases and 705 exposed controls. Comprehensively functional annotations were performed for identified single nucleotide polymorphism (SNPs) based on multiple bioinformatics databases and websites. We found 4 CWP risk-associated eQTL SNPs, including rs10797062 at 1q23.2 (p = 6.91 × 10-4, OR = 1.28), rs1667614 at 2q13.1 (p = 1.48 × 10-4, OR = 0.53), rs2540438 at 2q33.1 (p = 2.13 × 10-3, OR = 1.33), and rs2274554 at 13q31.1 (p = 9.01 × 10-5, OR = 1.35). Based on the results from GTEx, the identified variants were significantly associated with host genes in lung tissues: rs10797062-ATP1A4 (p = 8.60 × 10-11), rs1667614-FNBP1P1 (p = 1.00 × 10-20), rs2540438-ALS2CR12 (p = 1.90 × 10-7), and rs2274554-RBM26 (p = 5.00 × 10-6). Joint effect analysis showed the risk of CWP was significantly increased with the number of risk variant alleles in an allele-dosage manner (ptrend = 2.20 × 10-12). Enrichment pathway analysis suggested coexpressed genes of ATP1A4, FNBP1P1, and RBM26 were enriched in Ubiquitin mediated proteolysis pathway simultaneously. These results may provide a deeper understanding of the genetic predisposition of CWP.

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Year:  2018        PMID: 29394417     DOI: 10.1093/toxsci/kfy017

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  5 in total

1.  Associations of VDR gene polymorphisms with risk of coal workers' pneumoconiosis in Chinese Han population.

Authors:  Xi Yang; Meiting Qin; Shanshan Cui; Qi Zhang
Journal:  Toxicol Res (Camb)       Date:  2020-06-17       Impact factor: 3.524

2.  Functional variant of the carboxypeptidase M (CPM) gene may affect silica-related pneumoconiosis susceptibility by its expression: a multistage case-control study.

Authors:  Minjie Chu; Shuangshuang Wu; Wei Wang; Yuhui Yu; Mingjiong Zhang; Lingli Sang; Tian Tian; Yihua Lu; Weiwei Yuan; Qiqing Huang; Min Yi; Yuexia Gao; Jing Xiao; Yulong Lian; Xun Zhuang; Zuo-Feng Zhang; Jianqing Wu
Journal:  Occup Environ Med       Date:  2019-01-23       Impact factor: 4.402

3.  Identification of Genetic Susceptibility Factors Associated with Canine Gastric Dilatation-Volvulus.

Authors:  Ignazio S Piras; Nieves Perdigones; Victoria Zismann; Natalia Briones; Salvatore Facista; José Luis Rivera; Elizabeth Rozanski; Cheryl A London; William P D Hendricks
Journal:  Genes (Basel)       Date:  2020-11-05       Impact factor: 4.096

4.  Associations of SMAD4 rs10502913 and NLRP3 rs1539019 Polymorphisms with Risk of Coal Workers' Pneumoconiosis Susceptibility in Chinese Han Population.

Authors:  Hai Zhao; Yaqiong Huang; Hao Wang; Juan Zhao; Shanshan Tian; Haixia Bai; Mufang Guo; Caiping Dong; Yongliang Shi; Xia Li; Chengjun Zhu; Tao Feng; Xia Ma; Zhifei Hou
Journal:  Pharmgenomics Pers Med       Date:  2022-03-04

Review 5.  Recent Progress in Polymer-Containing Soft Matters for Safe Mining of Coal.

Authors:  Hetang Wang; Yunhe Du; Deming Wang; Botao Qin
Journal:  Polymers (Basel)       Date:  2019-10-17       Impact factor: 4.329

  5 in total

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