Evidence map›Paper›PMID 33743207›Full record

ArticleAmerican journal of human genetics2021

Spectrum of splicing variants in disease genes and the ability of RNA analysis to reduce uncertainty in clinical interpretation.

Rebecca Truty, Karen Ouyang, Susan Rojahn, Sarah Garcia, Alexandre Colavin, Barbara Hamlington, Mary Freivogel, Robert L Nussbaum, Keith Nykamp, Swaroop Aradhya

Abstract read
In one paragraph

Article in American journal of human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

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  13. Assessing the Functional Significance of Novel and Rare Variants of theInternational journal of molecular sciences · 2025
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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

10 authors.

Rebecca TrutyInvitae, 1400 16th St, San Francisco, CA 94103, USA.
Karen OuyangInvitae, 1400 16th St, San Francisco, CA 94103, USA.
Susan RojahnInvitae, 1400 16th St, San Francisco, CA 94103, USA.
Sarah GarciaInvitae, 1400 16th St, San Francisco, CA 94103, USA.
Alexandre ColavinInvitae, 1400 16th St, San Francisco, CA 94103, USA.
Barbara HamlingtonInvitae, 1400 16th St, San Francisco, CA 94103, USA.
Mary FreivogelInvitae, 1400 16th St, San Francisco, CA 94103, USA.
Robert L NussbaumInvitae, 1400 16th St, San Francisco, CA 94103, USA.
Keith NykampInvitae, 1400 16th St, San Francisco, CA 94103, USA.
Swaroop AradhyaInvitae, 1400 16th St, San Francisco, CA 94103, USA. Electronic address: swaroop.aradhya@invitae.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexities of gene expression pose challenges for the clinical interpretation of splicing variants. To better understand splicing variants and their contribution to hereditary disease, we evaluated their prevalence, clinical classifications, and associations with diseases, inheritance, and functional characteristics in a 689,321-person clinical cohort and two large public datasets. In the clinical cohort, splicing variants represented 13% of all variants classified as pathogenic (P), likely pathogenic (LP), or variants of uncertain significance (VUSs). Most splicing variants were outside essential splice sites and were classified as VUSs. Among all individuals tested, 5.4% had a splicing VUS. If RNA analysis were to contribute supporting evidence to variant interpretation, we estimated that splicing VUSs would be reclassified in 1.7% of individuals in our cohort. This would result in a clinically significant result (i.e., P/LP) in 0.1% of individuals overall because most reclassifications would change VUSs to likely benign. In ClinVar, splicing VUSs were 4.8% of reported variants and could benefit from RNA analysis. In the Genome Aggregation Database (gnomAD), splicing variants comprised 9.4% of variants in protein-coding genes; most were rare, precluding unambiguous classification as benign. Splicing variants were depleted in genes associated with dominant inheritance and haploinsufficiency, although some genes had rare variants at essential splice sites or had common splicing variants that were most likely compatible with normal gene function. Overall, we describe the contribution of splicing variants to hereditary disease, the potential utility of RNA analysis for reclassifying splicing VUSs, and how natural variation may confound clinical interpretation of splicing variants.

Indexed as

Diagnostic Techniques and ProceduresSequence Analysis, RNAUncertaintyAlternative SplicingCohort StudiesComputer SimulationDiseaseHigh-Throughput Nucleotide SequencingHumansRNARNA Splice SitesRNARNA Splice Sitesfunctional studiesgene panelgenetic testingin silico predictionnext-generation sequencingRNA analysissplice sitesplicingvariant classificationvariants of uncertain significance

Identifiers

PMID33743207
PMCPMC8059334

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LicenceCC BY-NC-ND
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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.