Evidence map›Paper›PMID 42888231›Full record

ArticleNature communications2026

cPRIME enables endogenous mapping of genetic variant effects at RNA level.

Ghanem El Kassem, Constanze Westphal, Marvin Doebel, Jasmine Hillmer, Tanja Seifert, Michael Boettcher

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Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ghanem El Kassem *Institute of Molecular Medicine, Section for Molecular Medicine of Signal Transduction, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle, Germany.
Constanze Westphal *Institute of Molecular Medicine, Section for Molecular Medicine of Signal Transduction, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle, Germany.
Marvin Doebel *Institute of Molecular Medicine, Section for Molecular Medicine of Signal Transduction, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle, Germany.ORCID http://orcid.org/0000-0002-8024-2178
Jasmine Hillmer *Institute of Molecular Medicine, Section for Molecular Medicine of Signal Transduction, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle, Germany.
Tanja SeifertInstitute of Molecular Medicine, Section for Molecular Medicine of Signal Transduction, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle, Germany.
Michael BoettcherInstitute of Molecular Medicine, Section for Molecular Medicine of Signal Transduction, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle, Germany. michael.boettcher@medizin.uni-halle.de.ORCID http://orcid.org/0000-0003-0986-4465

Funding

Deutsche Krebshilfe (German Cancer Aid) 70115298
6 · The paper itself

Abstract

Understanding the functional consequences of genetic variants, particularly those classified as variants of uncertain significance (VUS), is a major challenge in genomics. While variant effects at protein level are well recognized, roles in post-transcriptional regulation are increasingly appreciated. Here, we introduce cPRIME (prime editing with cDNA readout), a scalable method for assessing variant effects at RNA level. cPRIME employs prime editing to insert genetic variants into endogenous genomic loci, followed by the quantification of changes in variant frequencies at RNA (cDNA) and genomic DNA (gDNA) level. We demonstrate its effectiveness across diverse karyotypes and genomic loci and reveal that synonymous marker edits - frequently used in prime editing screens - can themselves alter RNA processing and thereby confound the interpretation of variant effects. Taken together, cPRIME provides a platform for studying the post-transcriptional consequences of genetic variants in their genomic context and establishes a framework for the functional interpretation of RNA-altering variants in cancer and other diseases.

Indexed as

Genetic VariationRNADNA, ComplementaryGenomicsHumansDNA, ComplementaryRNA

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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.