Evidence map›Paper›PMID 38883202›Full record

ArticleJAMIA open2024

IDeRare: a lightweight and extensible open-source phenotype and exome analysis pipeline for germline rare disease diagnosis.

Ivan William Harsono, Yulia Ariani, Beben Benyamin, Fadilah Fadilah, Dwi Ari Pujianto, Cut Nurul Hafifah

Abstract read
In one paragraph

Article in JAMIA open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Ivan William HarsonoDoctoral Program in Biomedical Sciences, Faculty of Medicine, Universitas Indonesia, Jakarta 10430, Indonesia.ORCID https://orcid.org/0000-0001-9418-5445
Yulia ArianiDepartment of Medical Biology, Faculty of Medicine, Universitas Indonesia, Jakarta 10430, Indonesia.ORCID https://orcid.org/0000-0002-6640-8530
Beben BenyaminAustralian Centre for Precision Health, University of South Australia, Adelaide 5000, Australia.ORCID https://orcid.org/0000-0001-5608-2293
Fadilah FadilahDepartment of Medical Chemistry, Faculty of Medicine, Universitas Indonesia, Jakarta 10430, Indonesia.ORCID https://orcid.org/0000-0002-8120-3138
Dwi Ari PujiantoDepartment of Medical Biology, Faculty of Medicine, Universitas Indonesia, Jakarta 10430, Indonesia.ORCID https://orcid.org/0000-0002-7274-4151
Cut Nurul HafifahDepartment of Child Health, Dr Cipto Mangunkusumo Hospital, Faculty of Medicine, University of Indonesia, Jakarta 10430, Indonesia.ORCID https://orcid.org/0000-0001-6434-6586

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Diagnosing rare diseases is an arduous and challenging process in clinical settings, resulting in the late discovery of novel variants and referral loops. To help clinicians, we built IDeRare pipelines to accelerate phenotype-genotype analysis for patients with suspected rare diseases. Materials and Methods: IDeRare pipeline is separated into phenotype and genotype parts. The phenotype utilizes our handmade Python library, while the genotype part utilizes command line (bash) and Python script to combine bioinformatics executable and Docker image. Results: We described various implementations of IDeRare phenotype and genotype parts with real-world clinical and exome data using IDeRare, accelerating the terminology conversion process and giving insight on the diagnostic pathway based on disease linkage analysis until exome analysis and HTML-based reporting for clinicians. Conclusion: IDeRare is freely available under the BSD-3 license, obtainable via GitHub. The portability of IDeRare pipeline could be easily implemented for semi-technical users and extensible for advanced users.

Indexed as

genotypeopen-source softwarephenotyperare diseaseterminology

Identifiers

PMID38883202
PMCPMC11179852

What OpenQuestion holds

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Registered trials

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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.