| Literature DB >> 29920840 |
Yanhan Deng1, Zongzhe Li2, Juan Liu1, Zheng Wang3, Yanyan Cao2, Yong Mou1, Bohua Fu1, Biwen Mo4, Jianghong Wei4, Zhenshun Cheng5, Liman Luo6, Jingping Li7, Ying Shu7, Xiaomei Wang8, Guangwei Luo9, Shuo Yang9, Yingnan Wang10, Jing Zhu10, Jingping Yang11, Ming Wu11, Xuyan Xu12, Renying Ge12, Xueqin Chen13, Qingzhen Peng14, Guang Wei14, Yaqing Li15, Hua Yang16, Shirong Fang16, Xiaoju Zhang3, Weining Xiong1.
Abstract
Idiopathic pulmonary fibrosis (IPF) is a genetic heterogeneous disease with high mortality and poor prognosis. However, a large fraction of genetic cause remains unexplained, especially in sporadic IPF (∼80% IPF). By systemically reviewing related literature and potential pathogenic pathways, 92 potentially IPF-related genes were selected and sequenced in genomic DNAs from 253 sporadic IPF patients and 125 matched health controls using targeted massively parallel next-generation sequencing. The identified risk variants were confirmed by Sanger sequencing. We identified two pathogenic and 10 loss-of-function (LOF) candidate variants, accounting for 4.74% (12 out of 253) of all the IPF cases. In burden tests, rare missense variants in three genes (CSF3R, DSP, and LAMA3) were identified that have a statistically significant relationship with IPF. Four common SNPs (rs3737002, rs2296160, rs1800470, and rs35705950) were observed to be statistically associated with increased risk of IPF. In the cumulative risk model, high risk subjects had 3.47-fold (95%CI: 2.07-5.81, P = 2.34 × 10-6 ) risk of developing IPF compared with low risk subjects. We drafted a comprehensive map of genetic risks (including both rare and common candidate variants) in patients with IPF, which could provide insights to help in understanding mechanisms, providing genetic diagnosis, and predicting risk for IPF.Entities:
Keywords: common SNP; genetic factors; idiopathic pulmonary fibrosis; next-generation sequencing; risk stratification
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Year: 2018 PMID: 29920840 DOI: 10.1002/humu.23566
Source DB: PubMed Journal: Hum Mutat ISSN: 1059-7794 Impact factor: 4.878