Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
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.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1038/s41431-024-01772-y | DOI Listing |
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