Expanding the Genomic Spectrum of NHLRC2-Associated FINCA Disease: Integrated Bioinformatic Characterization of a Novel Deep Intronic Variant Predicted to Activate a Pseudoexon
Abstract
1. Introduction
2. Results
2.1. Phenotype-Driven Clinical Evaluation
2.2. Molecular Findings
2.3. Genomic and Splicing Analysis of the Deep Intronic NHLRC2 Variant
3. Discussion
4. Materials and Methods
4.1. Clinical Data and Ethical Approval
4.2. Whole-Genome Sequencing, Segregation Analysis, and Variant Classification
4.3. Genomic Context and Splicing Prediction
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| ACMG/AMP | American College of Medical Genetics and Genomics/Association |
| DNA | Deoxyribonucleic acid |
| FINCA | Fibrosis, neuro-degeneration, cerebral angiomatosis syndrome |
| GATK | Genome Analysis Toolkit |
| GDB | The Russian Genetic Diversity Database |
| gnomAD | Genome Aggregation Database |
| GRCh38 | Genome Reference Consortium Human Build 38 |
| GTEx | Genotype-Tissue Expression portal |
| MANE | Matched annotation from NCBI and EMBL-EBI |
| mRNA | Messenger ribonucleic acid |
| OMIM | Online Mendelian Inheritance in Man |
| PBMC | Peripheral blood mononuclear cell |
| PCR | Polymerase chain reaction |
| RNA-seq | Ribonucleic acid sequencing |
| RT-PCR | Reverse transcription polymerase chain reaction |
| TPM | Transcripts per million |
| WGS | Whole-genome sequencing |
References
- Uusimaa, J.; Kaarteenaho, R.; Paakkola, T.; Tuominen, H.; Karjalainen, M.K.; Nadaf, J.; Varilo, T.; Uusi-Mäkelä, M.; Suo-Palosaari, M.; Pietilä, I.; et al. NHLRC2 Variants Identified in Patients with Fibrosis, Neurodegeneration, and Cerebral Angiomatosis (FINCA): Characterisation of a Novel Cerebropulmonary Disease. Acta Neuropathol. 2018, 135, 727–742. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Tallgren, A.; Kager, L.; O’Grady, G.; Tuominen, H.; Körkkö, J.; Kuismin, O.; Feucht, M.; Wilson, C.; Behunova, J.; England, E.; et al. Novel Patients with NHLRC2 Variants Expand the Phenotypic Spectrum of FINCA Disease. Front. Neurosci. 2023, 17, 1123327. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Nishi, K.; Iwaihara, Y.; Tsunoda, T.; Doi, K.; Sakata, T.; Shirasawa, S.; Ishikura, S. ROS-Induced Cleavage of NHLRC2 by Caspase-8 Leads to Apoptotic Cell Death in the HCT116 Human Colon Cancer Cell Line. Cell Death Dis. 2017, 8, 3218. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Haney, M.S.; Bohlen, C.J.; Morgens, D.W.; Ousey, J.A.; Barkal, A.A.; Tsui, C.K.; Ego, B.K.; Levin, R.; Kamber, R.A.; Collins, H.; et al. Identification of Phagocytosis Regulators Using Magnetic Genome-Wide CRISPR Screens. Nat. Genet. 2018, 50, 1716–1727. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sczakiel, H.L.; Zhao, M.; Wollert-Wulf, B.; Danyel, M.; Ehmke, N.; Stoltenburg, C.; Damseh, N.; Al-Ashhab, M.; Balci, T.B.; Osmond, M.; et al. Broadening the Phenotypic and Molecular Spectrum of FINCA Syndrome: Biallelic NHLRC2 Variants in 15 Novel Individuals. Eur. J. Hum. Genet. 2023, 31, 905–917. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Souche, E.; Beltran, S.; Brosens, E.; Belmont, J.W.; Fossum, M.; Riess, O.; Gilissen, C.; Ardeshirdavani, A.; Houge, G.; Van Gijn, M.; et al. Recommendations for Whole Genome Sequencing in Diagnostics for Rare Diseases. Eur. J. Hum. Genet. 2022, 30, 1017–1021. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kent, W.J.; Sugnet, C.W.; Furey, T.S.; Roskin, K.M.; Pringle, T.H.; Zahler, A.M.; Haussler, D. The human genome browser at UCSC. Genome Res. 2002, 12, 996–1006. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Jaganathan, K.; Kyriazopoulou Panagiotopoulou, S.; McRae, J.F.; Darbandi, S.F.; Knowles, D.; Li, Y.I.; Kosmicki, J.A.; Arbelaez, J.; Cui, W.; Schwartz, G.B.; et al. Predicting Splicing from Primary Sequence with Deep Learning. Cell 2019, 176, 535–548.e24. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zeng, T.; Li, Y.I. Predicting RNA Splicing from DNA Sequence Using Pangolin. Genome Biol. 2022, 23, 103. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ahmad, S.; Jose da Costa Gonzales, L.; Bowler-Barnett, E.H.; Rice, D.L.; Kim, M.; Wijerathne, S.; Luciani, A.; Kandasaamy, S.; Luo, J.; Watkins, X.; et al. The UniProt Website API: Facilitating Programmatic Access to Protein Knowledge. Nucleic Acids Res. 2025, 53, W547–W553. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yeo, G.; Burge, C.B. Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals. J. Comput. Biol. 2004, 11, 377–394. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Avsec, Ž.; Latysheva, N.; Cheng, J.; Novati, G.; Taylor, K.R.; Ward, T.; Bycroft, C.; Nicolaisen, L.; Arvaniti, E.; Pan, J.; et al. Advancing regulatory variant effect prediction with AlphaGenome. Nature 2026, 649, 1206–1218. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- The GTEx Consortium; Aguet, F.; Anand, S.; Ardlie, K.G.; Gabriel, S.; Getz, G.A.; Graubert, A.; Hadley, K.; Handsaker, R.E.; Huang, K.H.; et al. The GTEx Consortium Atlas of Genetic Regulatory Effects across Human Tissues. Science 2020, 369, 1318–1330. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rapp, C.K.; Van Dijck, I.; Laugwitz, L.; Boon, M.; Briassoulis, G.; Ilia, S.; Kammer, B.; Reu, S.; Hornung, S.; Buchert, R.; et al. Expanding the Phenotypic Spectrum of FINCA (Fibrosis, Neurodegeneration, and Cerebral Angiomatosis) Syndrome beyond Infancy. Clin. Genet. 2021, 100, 453–461. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Brodsky, N.N.; Boyarchuk, O.; Kovalchuk, T.; Hariyan, T.; Rice, A.; Ji, W.; Khokha, M.; Lakhani, S.; Lucas, C.L. Novel Compound Heterozygous Variants in NHLRC2 in a Patient with FINCA Syndrome. J. Hum. Genet. 2020, 65, 911–915. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Badura-Stronka, M.; Śmigiel, R.; Rutkowska, K.; Szymańska, K.; Hirschfeld, A.S.; Monkiewicz, M.; Kosińska, J.; Wolańska, E.; Rydzanicz, M.; Latos-Bieleńska, A.; et al. FINCA syndrome—Defining neurobehavioral phenotype in survivors into late childhood. Mol. Genet. Genom. Med. 2022, 10, e1899. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Petersen, U.S.S.; Doktor, T.K.; Andresen, B.S. Pseudoexon Activation in Disease by Non-splice Site Deep Intronic Sequence Variation—Wild Type Pseudoexons Constitute High-risk Sites in the Human Genome. Hum. Mutat. 2022, 43, 103–127. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ellingford, J.M.; Ahn, J.W.; Bagnall, R.D.; Baralle, D.; Barton, S.; Campbell, C.; Downes, K.; Ellard, S.; Duff-Farrier, C.; FitzPatrick, D.R.; et al. Recommendations for Clinical Interpretation of Variants Found in Non-Coding Regions of the Genome. Genome Med. 2022, 14, 73. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Chen, S.; Zhou, Y.; Chen, Y.; Gu, J. Fastp: An Ultra-Fast All-in-One FASTQ Preprocessor. Bioinformatics 2018, 34, i884–i890. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Schneider, V.A.; Graves-Lindsay, T.; Howe, K.; Bouk, N.; Chen, H.-C.; Kitts, P.A.; Murphy, T.D.; Pruitt, K.D.; Thibaud-Nissen, F.; Albracht, D.; et al. Evaluation of GRCh38 and de Novo Haploid Genome Assemblies Demonstrates the Enduring Quality of the Reference Assembly. Genome Res. 2017, 27, 849–864. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Li, H. Minimap2: Pairwise Alignment for Nucleotide Sequences. Bioinformatics 2018, 34, 3094–3100. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- McKenna, A.; Hanna, M.; Banks, E.; Sivachenko, A.; Cibulskis, K.; Kernytsky, A.; Garimella, K.; Altshuler, D.; Gabriel, S.; Daly, M.; et al. The Genome Analysis Toolkit: A MapReduce Framework for Analyzing next-Generation DNA Sequencing Data. Genome Res. 2010, 20, 1297–1303. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Chen, S.; Francioli, L.C.; Goodrich, J.K.; Collins, R.L.; Kanai, M.; Wang, Q.; Alföldi, J.; Watts, N.A.; Vittal, C.; Gauthier, L.D.; et al. A Genomic Mutational Constraint Map Using Variation in 76,156 Human Genomes. Nature 2024, 625, 92–100, Erratum in Nature 2024, 626, E1. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Database of Population Frequencies of Genetic Variants of the Population of the Russian Federation. Federal Medical-Biological Agency of Russia. Available online: https://gdbpop.nir.cspfmba.ru/ (accessed on 12 November 2025).
- Landrum, M.J.; Lee, J.M.; Benson, M.; Brown, G.; Chao, C.; Chitipiralla, S.; Gu, B.; Hart, J.; Hoffman, D.; Hoover, J.; et al. ClinVar: Public Archive of Interpretations of Clinically Relevant Variants. Nucleic Acids Res. 2016, 44, D862–D868. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Amberger, J.S.; Bocchini, C.A.; Schiettecatte, F.; Scott, A.F.; Hamosh, A. OMIM.Org: Online Mendelian Inheritance in Man (OMIM®), an Online Catalog of Human Genes and Genetic Disorders. Nucleic Acids Res. 2015, 43, D789–D798. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Richards, S.; Aziz, N.; Bale, S.; Bick, D.; Das, S.; Gastier-Foster, J.; Grody, W.W.; Hegde, M.; Lyon, E.; Spector, E.; et al. Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet. Med. 2015, 17, 405–424. [Google Scholar] [CrossRef] [Scilit] [PubMed]




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Rozhkova, A.V.; Esibov, A.A.; Borkovskaia, A.N.; Rutkovskaya, E.A.; Groznova, O.S.; Sagaydak, O.V.; Doroshchuk, N.A.; Krupinova, J.A.; Mityaeva, O.N.; Woroncow, M.; et al. Expanding the Genomic Spectrum of NHLRC2-Associated FINCA Disease: Integrated Bioinformatic Characterization of a Novel Deep Intronic Variant Predicted to Activate a Pseudoexon. Int. J. Mol. Sci. 2026, 27, 7555. https://doi.org/10.3390/ijms27177555
Rozhkova AV, Esibov AA, Borkovskaia AN, Rutkovskaya EA, Groznova OS, Sagaydak OV, Doroshchuk NA, Krupinova JA, Mityaeva ON, Woroncow M, et al. Expanding the Genomic Spectrum of NHLRC2-Associated FINCA Disease: Integrated Bioinformatic Characterization of a Novel Deep Intronic Variant Predicted to Activate a Pseudoexon. International Journal of Molecular Sciences. 2026; 27(17):7555. https://doi.org/10.3390/ijms27177555
Chicago/Turabian StyleRozhkova, Anastasiia V., Anton A. Esibov, Aleksandra N. Borkovskaia, Ekaterina A. Rutkovskaya, Olga S. Groznova, Olesya V. Sagaydak, Natalya A. Doroshchuk, Julia A. Krupinova, Olga N. Mityaeva, Mary Woroncow, and et al. 2026. "Expanding the Genomic Spectrum of NHLRC2-Associated FINCA Disease: Integrated Bioinformatic Characterization of a Novel Deep Intronic Variant Predicted to Activate a Pseudoexon" International Journal of Molecular Sciences 27, no. 17: 7555. https://doi.org/10.3390/ijms27177555
APA StyleRozhkova, A. V., Esibov, A. A., Borkovskaia, A. N., Rutkovskaya, E. A., Groznova, O. S., Sagaydak, O. V., Doroshchuk, N. A., Krupinova, J. A., Mityaeva, O. N., Woroncow, M., Bogdanov, V. P., & Volchkov, P. Y. (2026). Expanding the Genomic Spectrum of NHLRC2-Associated FINCA Disease: Integrated Bioinformatic Characterization of a Novel Deep Intronic Variant Predicted to Activate a Pseudoexon. International Journal of Molecular Sciences, 27(17), 7555. https://doi.org/10.3390/ijms27177555

