Cited by 21Genomics and Rare DiseasesRetinal Development and DisordersGenetic and Kidney Cyst Diseases

A comprehensive WGS-based pipeline for the identification of new candidate genes in inherited retinal dystrophies

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González-del Pozo, María, Fernández-Suárez, Elena, Bravo-Gil, Nereida, Méndez-Vidal, Cristina, Martín-Sánchez, Marta, Rodríguez-de la Rúa, Enrique, Ramos-Jiménez, Manuel, Morillo-Sánchez, María José +2 more·2022·npj Genomic Medicine

Abstract

To enhance the use of Whole Genome Sequencing (WGS) in clinical practice, it is still necessary to standardize data analysis pipelines. Herein, we aimed to define a WGS-based algorithm for the accurate interpretation of variants in inherited retinal dystrophies (IRD). This study comprised 429 phenotyped individuals divided into three cohorts. A comparison of 14 pathogenicity predictors, and the re-definition of its cutoffs, were performed using panel-sequencing curated data from 209 genetically diagnosed individuals with IRD (training cohort). The optimal tool combinations, previously validated in 50 additional IRD individuals, were also tested in patients with hereditary cancer (n = 109), and with neurological diseases (n = 47) to evaluate the translational value of this approach (validation cohort). Then, our workflow was applied for the WGS-data analysis of 14 individuals from genetically undiagnosed IRD families (discovery cohort). The statistical analysis showed that the optimal filtering combination included CADDv1.6, MAPP, Grantham, and SIFT tools. Our pipeline allowed the identification of one homozygous variant in the candidate gene CFAP20 (c.337 C > T; p.Arg113Trp), a conserved ciliary gene, which was abundantly expressed in human retina and was located in the photoreceptors layer. Although further studies are needed, we propose CFAP20 as a candidate gene for autosomal recessive retinitis pigmentosa. Moreover, we offer a translational strategy for accurate WGS-data prioritization, which is essential for the advancement of personalized medicine.

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  • González-del Pozo et al. identified CFAP20 as a putative cause of autosomal recessive RP from a cohort of 14 whole genome sequences from genetically undiagnosed IRD patients.

    “González-del Pozo et al.72 identified CFAP20 as a putative cause of autosomal recessive RP from a cohort of 14 whole genome sequences from genetically undiagnosed IRD patients”

    From The inner junction protein CFAP20 functions in motile and non-motile cilia and is critical for vision (2022) · cites this paper as [72]

    The Introduction and Discussion identify CFAP20 as a candidate cause of autosomal recessive retinitis pigmentosa, and the Methods (Subjects and previous NGS studies; page unavailable) confirm that all 14 discovery-cohort individuals underwent WGS. But only nine were affected; the other five were unaffected family members, so the claim inaccurately describes all 14 sequences as coming from genetically undiagnosed IRD patients. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • One individual with homozygous p.(Arg113Trp) CFAP20 variants segregated with disease.

    “this study identified one individual with homozygous p.(Arg113Trp) CFAP20 variants that segregated with disease.”

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Authors
González-del Pozo, M., Fernández-Suárez, E., Bravo-Gil, N., Méndez-Vidal, C., Martín-Sánchez, M., Rodríguez-de la Rúa, E., Ramos-Jiménez, M., Morillo-Sánchez, M. J., Borrego, S., & Antiñolo, G.
Affiliations
  • Consejo Superior de Investigaciones Científicas (ES)
  • Hospital Universitario Virgen Macarena (ES)
  • Centre for Biomedical Network Research on Rare Diseases (ES)
Corresponding author
  • Borrego, Salud
  • Antiñolo, Guillermo
Venue
npj Genomic Medicine
Published
2022-03-04
Volume
7
Issue
1
Pages
17-17
ISSN
2056-7944 (ISSN-L)
OpenAlex
W4214907201
Cited by
21
References
97
Citations by year
2026: 3 · 2025: 8 · 2024: 4 · 2023: 4 · 2022: 2
FWCI
2.71
Type
journal article
Language
en
Open access
Locations
  • npj Genomic Medicine (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RISalud Institutional Health Repository of Andalucía (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • idUS (Universidad de Sevilla) (submittedVersion, cc-by-nc-nd)
Funders
  • European Commission
  • Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía (RH-0118-2020, CTS-1664)
  • Ministerio de Economía y Competitividad (FI19/00091, PI18-00612, 00612)
  • Instituto de Salud Carlos III (PI21/00244, FI19/00091, PI18/00612)
  • European Regional Development Fund
  • European Social Fund
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Retinal Development and Disorders
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and Kidney Cyst Diseases
Keywords
inherited retinal disease, variant pathogenicity prediction, variant filtering, CADD, MAPP, SIFT, autosomal recessive retinitis pigmentosa, candidate gene identification, ciliary genes, photoreceptors, hereditary cancer, neurological disorders

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