Evidence map›Paper›PMID 39489835›Full record

ArticleScientific reports2024

Combining genetic and single-cell expression data reveals cell types and novel candidate genes for orofacial clefting.

Anna Siewert, Simone Hoeland, Elisabeth Mangold, Kerstin U Ludwig

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  3. Comprehensive analysis ofmedRxiv : the preprint server for health sciences · 2026
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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

4 authors.

Anna SiewertInstitute of Human Genetics, School of Medicine & University Hospital Bonn, University of Bonn, Bonn, Germany. anna.siewert@uni-bonn.de.
Simone HoelandInstitute of Human Genetics, School of Medicine & University Hospital Bonn, University of Bonn, Bonn, Germany.
Elisabeth MangoldInstitute of Human Genetics, School of Medicine & University Hospital Bonn, University of Bonn, Bonn, Germany.
Kerstin U LudwigInstitute of Human Genetics, School of Medicine & University Hospital Bonn, University of Bonn, Bonn, Germany. kerstin.ludwig@uni-bonn.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-syndromic cleft lip with/without cleft palate (nsCL/P) is one of the most common birth defects and has a multifactorial etiology. To date, over 45 loci harboring common risk variants have been identified. However, the effector genes at these loci, and the cell types that are affected by risk alleles, remain largely unknown. To address this, we combined genetic data from an nsCL/P genome-wide association study (GWAS) with single-cell RNA sequencing data obtained from the heads of unaffected human embryos. Using the recently developed single-cell disease relevance score (scDRS) approach, we identified two major cell types involved in nsCL/P development, namely the epithelium and the HAND2+ pharyngeal arches (PA). Combining scDRS with co-expression networks and differential gene expression analysis, we prioritized nsCL/P candidate genes, some of which were additionally supported by GWAS data (e.g., CTNND1, PRTG, RPL35A, RAB11FIP1, KRT19). Our results suggest that specific epithelial and PA sub-cell types are involved in nsCL/P development, and harbor a substantial fraction of the genetic risk for nsCL/P.

Indexed as

Cleft LipCleft PalateGenetic Predisposition to DiseaseGenome-Wide Association StudySingle-Cell AnalysisHumansPolymorphism, Single NucleotideCleft lipCleft palateCo-expression networksGWAShdWGCNAscRNA-seq

Identifiers

PMID39489835
PMCPMC11532359

What Socratic holds

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Registered trials

None linked

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 Socratic graph.