Evidence map›Paper›PMID 33969388›Full record

ArticleClinical chemistry2021

Whole-Transcriptome Analysis by RNA Sequencing for Genetic Diagnosis of Mendelian Skin Disorders in the Context of Consanguinity.

Leila Youssefian, Amir Hossein Saeidian, Fahimeh Palizban, Atefeh Bagherieh, Fahimeh Abdollahimajd, Soheila Sotoudeh, Nikoo Mozafari, Rahele A Farahani, Hamidreza Mahmoudi, Sadegh Babashah and 7 more

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in Clinical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Monogenic etiologies of persistent human papillomavirus infections: A comprehensive systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Pooled it
  2. RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease.Annals of clinical and translational neurology · 2026
    Article
  3. Article
  4. Splice modulation strategy applied to deep intronic variants inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
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  7. Impact of genome build on RNA-seq interpretation and diagnostics.medRxiv : the preprint server for health sciences · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Recalcitrant Cutaneous Warts in a Family with Inherited ICOS Deficiency.The Journal of investigative dermatology · 2022
    Article
  12. Article
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

17 authors at 11 institutions in 3 countries.

Leila YoussefianJefferson Institute of Molecular Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
Amir Hossein SaeidianJefferson Institute of Molecular Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
Fahimeh PalizbanLaboratory of Complex Biological Systems and Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
Atefeh BagheriehDepartment of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Fahimeh AbdollahimajdSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Soheila SotoudehDepartment of Dermatology, Children's Medical Center, Center of Excellence, Tehran University of Medical Sciences, Tehran, Iran.
Nikoo MozafariSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Rahele A FarahaniDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, United States of America.
Hamidreza MahmoudiDepartment of Dermatology, Razi Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Sadegh BabashahDepartment of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Masoud ZabihiKawsar Human Genetics Research Center, Tehran, Iran.
Sirous ZeinaliKawsar Human Genetics Research Center, Tehran, Iran.
Paolo FortinaCancer Genomics and Bioinformatics, Department of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA.
Julio C Salas-AlanisDystrophic Epidermolysis Bullosa Research Association, Mexico.
Andrew P SouthDepartment of Dermatology and Cutaneous Biology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
Hassan VahidnezhadJefferson Institute of Molecular Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
Jouni UittoJefferson Institute of Molecular Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
Thomas Jefferson University · USJefferson Institute · USKowsar Hospital · IRShahid Beheshti University of Medical Sciences · IRTarbiat Modares University · IRChildren's Medical Center · IRDystrophic Epidermolysis Bullosa Research Association of America · USMayo Clinic · USRazi Hospital · IRSapienza University of Rome · ITUniversity of Tehran · IR

Funding

X-Ray Crystallography and Macromolecular CharacterizationP30CA056036 · NCI · THOMAS JEFFERSON UNIVERSITY · PI Andrew Chapman · 1995 to 2026
$94.8M
Molecular and cellular basis of epidermodysplasia verruciformisR01AI143810 · NIAID · ROCKEFELLER UNIVERSITY · PI CASANOVA, JEAN-LAURENT, JOUANGUY, EMMANUELLE · 2020 to 2024
$2.0M
Ultrahigh Throughput Sequencing SystemS10OD025128 · OD · THOMAS JEFFERSON UNIVERSITY · PI FORTINA, PAOLO M · 2020 to 2020
$745k
NCI NIH HHS P30 CA056036NIAID NIH HHS R01 AI143810NIH HHS S10 OD025128
6 · The paper itself

Abstract

backgroundAmong the approximately 8000 Mendelian disorders, >1000 have cutaneous manifestations. In many of these conditions, the underlying mutated genes have been identified by DNA-based techniques which, however, can overlook certain types of mutations, such as exonic-synonymous and deep-intronic sequence variants. Whole-transcriptome sequencing by RNA sequencing (RNA-seq) can identify such mutations and provide information about their consequences.

methodsWe analyzed the whole transcriptome of 40 families with different types of Mendelian skin disorders with extensive genetic heterogeneity. The RNA-seq data were examined for variant detection and prioritization, pathogenicity confirmation, RNA expression profiling, and genome-wide homozygosity mapping in the case of consanguineous families. Among the families examined, RNA-seq was able to provide information complementary to DNA-based analyses for exonic and intronic sequence variants with aberrant splicing. In addition, we tested the possibility of using RNA-seq as the first-tier strategy for unbiased genome-wide mutation screening without information from DNA analysis.

resultsWe found pathogenic mutations in 35 families (88%) with RNA-seq in combination with other next-generation sequencing methods, and we successfully prioritized variants and found the culprit genes. In addition, as a novel concept, we propose a pipeline that increases the yield of variant calling from RNA-seq by concurrent use of genome and transcriptome references in parallel.

conclusionsOur results suggest that "clinical RNA-seq" could serve as a primary approach for mutation detection in inherited diseases, particularly in consanguineous families, provided that tissues and cells expressing the relevant genes are available for analysis.

Indexed as

Gene Expression ProfilingSkin DiseasesConsanguinityExome SequencingHigh-Throughput Nucleotide SequencingHumansSequence Analysis, RNAepidermolysis bullosafamilial consanguinityheritable skin diseasesmutation detectionRNA-seqwhole-transcriptome sequencing

Identifiers

PMID33969388
PMCPMC8167339
OpenAlexW3160394738

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.