Paper · 41523913
RNA-Seq of Cultured Peripheral Blood Lymphocytes Improves Identification of Cryptic Splicing Defects in Rare Disease Diagnostics.
Ren J and 16 others. Hum Mutat, 2026. Cited by 0 papers, by iCite.
11 sourcespapers-2026-11-12-0.1.0
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ConductScience Library. RNA-Seq of Cultured Peripheral Blood Lymphocytes Improves Identification of Cryptic Splicing Defects in Rare Disease Diagnostics. Papers, record 41523913. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/41523913
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- RNA-Seq of Cultured Peripheral Blood Lymphocytes Improves Identification of Cryptic Splicing Defects in Rare Disease Diagnostics.
- PubMed
Topics8
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Rare Diseases | Major topic |
| Lymphocytes | Major topic |
| RNA Splicing | Major topic |
| RNA-Seq | Major topic |
| Humans | |
| Female | |
| Exome Sequencing | |
| Male |
Source PubMed
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Trials0
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None in this release.
Comments and corrections0
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None in this release.
References43
The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.
| Order | PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|---|
| 1 | 37,924,330 | Diagnostic Outcomes of Concurrent DNA and RNA Sequencing in Individuals Undergoing Hereditary Cancer Testing. | JAMA Oncol | 2024 | https://conductscience.org/library/papers/37924330 | PubMed |
| 2 | 39,252,027 | Identification of diagnostic candidates in Mendelian disorders using an RNA sequencing-centric approach. | Genome Med | 2024 | https://conductscience.org/library/papers/39252027 | PubMed |
| 3 | 31,659,324 | The impact of nonsense-mediated mRNA decay on genetic disease, gene editing and cancer immunotherapy. | Nat Genet | 2019 | https://conductscience.org/library/papers/31659324 | PubMed |
| 4 | 35,121,647 | RNA splicing analysis contributes to reclassifying variants of uncertain significance and improves the diagnosis of monogenic disorders. | J Med Genet | 2022 | https://conductscience.org/library/papers/35121647 | PubMed |
| 5 | 25,516,281 | Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. | Genome Biol | 2014 | https://conductscience.org/library/papers/25516281 | PubMed |
| 6 | 31,160,820 | Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts. | Nat Med | 2019 | https://conductscience.org/library/papers/31160820 | PubMed |
| 7 | 30,423,086 | fastp: an ultra-fast all-in-one FASTQ preprocessor. | Bioinformatics | 2018 | https://conductscience.org/library/papers/30423086 | PubMed |
| 8 | 30,287,922 | Secondary findings from clinical genomic sequencing: prevalence, patient perspectives, family history assessment, and health-care costs from a multisite study. | Genet Med | 2019 | https://conductscience.org/library/papers/30287922 | PubMed |
| 9 | 28,424,332 | Improving genetic diagnosis in Mendelian disease with transcriptome sequencing. | Sci Transl Med | 2017 | https://conductscience.org/library/papers/28424332 | PubMed |
| 10 | 29,485,237 | Recent progress in Lynch syndrome and other familial colorectal cancer syndromes. | CA Cancer J Clin | 2018 | https://conductscience.org/library/papers/29485237 | PubMed |
1 to 10 of 43
See all 43 referencesCited by2
The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 0 citations.
| PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|
| 42,953,568 | Integrating multi-omics with machine learning: from genomic variant functional annotation to pharmacogenomics and biomarker discovery. | Front Pharmacol | 2026 | https://conductscience.org/library/papers/42953568 | PubMed |
| 41,523,913 | RNA-Seq of Cultured Peripheral Blood Lymphocytes Improves Identification of Cryptic Splicing Defects in Rare Disease Diagnostics. | Hum Mutat | 2026 | https://conductscience.org/library/papers/41523913 | PubMed |
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None in this release.
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Data dates
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- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- iCiteCC BY 4.0
- NCBI GenePublic domain (US government)
- NIH RePORTER's grant and paper linksPublic domain
- Open TargetsCC0 1.0
- PMC's ID filePublic domain (US government)
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- ClinicalTrials.govnone stated
- HGNCCC0: https://www.genenames.org/about/license/
- iCiteCC BY 4.0
- NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
- Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
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