Alonso-González Aitana, Véliz-Flores Ibrahim, Tosco-Herrera Eva, González-Barbuzano Silvia, Mendoza-Alvarez Alejandro, Galván-Fernández Helena, Sastre Leandro, Fernández-Varas Beatriz, Corrales Almudena, Rubio-Rodríguez Luis A, Jáspez David, Lorenzo-Salazar José M, Molina-Molina Maria, Rodríguez-de-Castro Felipe, González-Montelongo Rafaela, Flores Carlos
Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Instituto de Investigación Sanitaria de Canarias (IISC), Santa Cruz de Tenerife, Spain.
Universidad de Santiago de Compostela, Santiago de Compostela, Spain.
Eur J Hum Genet. 2025 Jan 2. doi: 10.1038/s41431-024-01772-y.
Idiopathic pulmonary fibrosis (IPF) is a progressive, late-onset disease marked by lung scarring and irreversible loss of lung function. Genetic factors significantly contribute to both familial and sporadic cases, yet there are scarce evidence-based studies highlighting the benefits of integrating genetics into the management of IPF patients. In this study, we performed whole-exome sequencing and telomere length (TL) measurements on IPF patients and their relatives. We then identified rare deleterious variants using three virtual gene panels encompassing IPF or TL genes with varying levels of evidence supporting their potential relationship with the disease. We identified 10 candidate variants in well-established disease genes, and these results were validated using two automatic prioritization tools (Exomiser and Franklin). Pathogenic variants were found in two telomere-related genes (RTEL1 and NAF1), and both were associated with severe TL shortening. Our results suggest that this tiered virtual panel strategy is sufficiently robust and serves as a viable solution in clinical practice. It generates valuable genetic data which can be interpreted and validated with the expertise of a multidisciplinary team.
特发性肺纤维化(IPF)是一种进行性迟发性疾病,其特征为肺瘢痕形成和肺功能的不可逆丧失。遗传因素在家族性和散发性病例中均起着重要作用,但鲜有基于证据的研究强调将遗传学纳入IPF患者管理的益处。在本研究中,我们对IPF患者及其亲属进行了全外显子组测序和端粒长度(TL)测量。然后,我们使用三个虚拟基因panel,涵盖具有不同证据水平支持其与疾病潜在关系的IPF或TL基因,来识别罕见的有害变异。我们在已确立的疾病基因中鉴定出10个候选变异,并使用两种自动优先级排序工具(Exomiser和Franklin)对这些结果进行了验证。在两个端粒相关基因(RTEL1和NAF1)中发现了致病变异,且两者均与严重的TL缩短相关。我们的结果表明,这种分层虚拟panel策略足够强大,可作为临床实践中的可行解决方案。它生成了有价值的遗传数据,可由多学科团队的专业知识进行解读和验证。