Evidence map›Paper›PMID 29372369›Full record

ReviewJournal of inherited metabolic disease2018

"Transcriptomics": molecular diagnosis of inborn errors of metabolism via RNA-sequencing.

Laura S Kremer, Saskia B Wortmann, Holger Prokisch

Abstract readReview
In one paragraph

Review in Journal of inherited metabolic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
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  5. Impact of genome build on RNA-seq interpretation and diagnostics.medRxiv : the preprint server for health sciences · 2024
    Article
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  9. Review
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  14. Mitochondrial Disorders.Deutsches Arzteblatt international · 2021
    Review
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  16. Article
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  18. Review
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  20. [Application of RNA sequencing in clinical diagnosis of Mendelian disease].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2020
    Review
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

3 authors.

Laura S KremerInstitute of Human Genetics, Technische Universität München, Trogerstrasse 32, 81675, Munich, Germany.
Saskia B WortmannInstitute of Human Genetics, Helmholtz Zentrum München, Munich, Germany.
Holger ProkischInstitute of Human Genetics, Technische Universität München, Trogerstrasse 32, 81675, Munich, Germany. prokisch@helmholtz-muenchen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exome wide sequencing techniques have revolutionized molecular diagnostics in patients with suspected inborn errors of metabolism or neuromuscular disorders. However, the diagnostic yield of 25-60% still leaves a large fraction of individuals without a diagnosis. This indicates a causative role for non-exonic regulatory variants not covered by whole exome sequencing. Here we review how systematic RNA-sequencing analysis (RNA-seq, "transcriptomics") lead to a molecular diagnosis in 10-35% of patients in whom whole exome sequencing failed to do so. Importantly, RNA-sequencing based discoveries cannot only guide molecular diagnosis but might also unravel therapeutic intervention points such as antisense oligonucleotide treatment for splicing defects as recently reported for spinal muscular atrophy.

Indexed as

TranscriptomeExome SequencingGenetic TestingGenomicsHumansMetabolism, Inborn ErrorsMolecular Diagnostic TechniquesSequence Analysis, RNA

Identifiers

PMID29372369
PMCPMC5959960

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.