Evidence map›Paper›PMID 36769106›Full record

ArticleInternational journal of molecular sciences2023

Genetic Variant Overlap Analysis Identifies Established and Putative Genes Involved in Pulmonary Fibrosis.

Karlijn Groen, Joanne J van der Vis, Aernoud A van Batenburg, Karin M Kazemier, Jan C Grutters, Coline H M van Moorsel

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. A new variant in theERJ open research · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Karlijn GroenDepartment of Pulmonology, St. Antonius ILD Center of Excellence, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands.
Joanne J van der VisDepartment of Pulmonology, St. Antonius ILD Center of Excellence, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands.ORCID 0000-0002-6727-8416
Aernoud A van BatenburgDepartment of Pulmonology, St. Antonius ILD Center of Excellence, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands.
Karin M KazemierCenter of Translational Immunology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands.
Jan C GruttersDepartment of Pulmonology, St. Antonius ILD Center of Excellence, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands.
Coline H M van MoorselDepartment of Pulmonology, St. Antonius ILD Center of Excellence, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands.

Funding

St. Antonius Onderzoeksfonds NAZonMW Topspecialistische Zorg en Onderzoek 10070012010004ZonMW TopZorg St Antonius Care 842002001
6 · The paper itself

Abstract

In only around 40% of families with pulmonary fibrosis (PF) a suspected genetic cause can be found. Genetic overlap analysis of Whole Exome Sequencing (WES) data may be a powerful tool to discover new shared variants in novel genes for PF. As a proof of principle, we first selected unrelated PF patients for whom a genetic variant was detected (n = 125) in established PF genes and searched for overlapping variants. Second, we performed WES (n = 149) and identified novel potentially deleterious variants shared by at least two unrelated PF patients. These variants were genotyped in validation cohorts (n = 2748). In 125 unrelated patients, a potentially deleterious variant was detected in known PF genes of which 15 variants in six genes overlapped, involving 51 patients. Overlap analysis of WES data identified two novel variants of interest:

Indexed as

Pulmonary FibrosisExome SequencingGenotypeHumansgeneticsidiopathic pulmonary fibrosisTDP1telomeresTOM1L2

Identifiers

PMID36769106
PMCPMC9917193

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.