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Daga S, Loberti L, Rollo G, Adamo L, Colavecchio OL, Brunelli G, Zguro K, Tripodi SA, Guarnieri A, Garosi G, D'Aurizio R, Ariani F, Tita R, Renieri A, Pinto AM. Slowly progressive autosomal dominant Alport Syndrome due to COL4A3 splicing variant. Eur J Hum Genet 2024:10.1038/s41431-024-01706-8. [PMID: 39424670 DOI: 10.1038/s41431-024-01706-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 08/17/2024] [Accepted: 09/25/2024] [Indexed: 10/21/2024] Open
Abstract
Alport syndrome is a rare genetic kidney disease caused by variants in the COL4A3/A4/A5 genes. It's characterised by progressive kidney failure, though therapies targeting Renin-Angiotensin System can delay its progression. Additionally, extrarenal manifestations may sometimes coexist. Recent advances in genetic analysis and the necessity to better clarify genotype-phenotype correlations in affected patients raises the importance of detecting even cryptic splicing variants, lying in both canonical and non-canonical splice sites variants such as last exonic nucleotide variants. These variants, often, do not cause an amino acid change but alter the snRNP proteins binding. We studied a big Italian family with Alport syndrome showing a clear dominant pattern of transmission with younger family members having only haematuria and older individuals presenting with End-Stage Kidney Failure (ESKF). Kidney biopsy showed the typical disease hallmarks. We deeply mined the data for SNV and CNV through exome sequencing on DNA from both peripheral blood samples and patients' podocytes-lineage cells. We identified an already reported synonymous variant, c.765G>A (p.(Thr255Thr)), in the last exonic nucleotide of exon 13 of the COL4A3 gene. Employing the patient's podocytes we demonstrated that this variant results in exon skipping leading to an in-frame deletion of 28 amino acids without leaky effect. According to the pattern of transmission, to the kidney biopsy and to the exome data analysis we provided further evidence that autosomal dominant Alport syndrome is a well-defined clinical entity. We also confirmed the pathogenicity of the synonymous COL4A3 variant for the first time demonstrating its role in a dominant pattern of transmission.
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Affiliation(s)
- Sergio Daga
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Lorenzo Loberti
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
| | - Giulia Rollo
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Loredaria Adamo
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | | | - Giulia Brunelli
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Institute of Informatics and Telematics, CNR, Pisa, Italy
| | - Kristina Zguro
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | | | - Andrea Guarnieri
- Department of Medical Sciences, Nephrology, Dialysis and Transplantation Unit, University Hospital of Siena, Siena, Italy
| | - Guido Garosi
- Department of Medical Sciences, Nephrology, Dialysis and Transplantation Unit, University Hospital of Siena, Siena, Italy
| | | | - Francesca Ariani
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
| | - Rossella Tita
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
| | - Alessandra Renieri
- Medical Genetics, University of Siena, Siena, Italy.
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy.
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy.
| | - Anna Maria Pinto
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy.
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Chu BB, Gu J, Chen Z, Morrison T, Candès E, He Z, Sabatti C. Second-order group knockoffs with applications to genome-wide association studies. Bioinformatics 2024; 40:btae580. [PMID: 39340798 PMCID: PMC11639161 DOI: 10.1093/bioinformatics/btae580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 08/15/2024] [Accepted: 09/24/2024] [Indexed: 09/30/2024] Open
Abstract
MOTIVATION Conditional testing via the knockoff framework allows one to identify-among a large number of possible explanatory variables-those that carry unique information about an outcome of interest and also provides a false discovery rate guarantee on the selection. This approach is particularly well suited to the analysis of genome-wide association studies (GWAS), which have the goal of identifying genetic variants that influence traits of medical relevance. RESULTS While conditional testing can be both more powerful and precise than traditional GWAS analysis methods, its vanilla implementation encounters a difficulty common to all multivariate analysis methods: it is challenging to distinguish among multiple, highly correlated regressors. This impasse can be overcome by shifting the object of inference from single variables to groups of correlated variables. To achieve this, it is necessary to construct "group knockoffs." While successful examples are already documented in the literature, this paper substantially expands the set of algorithms and software for group knockoffs. We focus in particular on second-order knockoffs, for which we describe correlation matrix approximations that are appropriate for GWAS data and that result in considerable computational savings. We illustrate the effectiveness of the proposed methods with simulations and with the analysis of albuminuria data from the UK Biobank. AVAILABILITY AND IMPLEMENTATION The described algorithms are implemented in an open-source Julia package Knockoffs.jl. R and Python wrappers are available as knockoffsr and knockoffspy packages.
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Affiliation(s)
- Benjamin B Chu
- Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA
| | - Jiaqi Gu
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94035, USA
| | - Zhaomeng Chen
- Department of Statistics, Stanford University, Stanford, CA, 94035, USA
| | - Tim Morrison
- Department of Statistics, Stanford University, Stanford, CA, 94035, USA
| | - Emmanuel Candès
- Department of Statistics, Stanford University, Stanford, CA, 94035, USA
- Department of Mathematics, Stanford University, Stanford, CA, 94035, USA
| | - Zihuai He
- Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94035, USA
- Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, 94035, USA
| | - Chiara Sabatti
- Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA
- Department of Statistics, Stanford University, Stanford, CA, 94035, USA
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Puapatanakul P, Miner JH. Alport syndrome and Alport kidney diseases - elucidating the disease spectrum. Curr Opin Nephrol Hypertens 2024; 33:283-290. [PMID: 38477333 PMCID: PMC10990029 DOI: 10.1097/mnh.0000000000000983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
PURPOSE OF REVIEW With the latest classification, variants in three collagen IV genes, COL4A3 , COL4A4 , and COL4A5 , represent the most prevalent genetic kidney disease in humans, exhibiting diverse, complex, and inconsistent clinical manifestations. This review breaks down the disease spectrum and genotype-phenotype correlations of kidney diseases linked to genetic variants in these genes and distinguishes "classic" Alport syndrome (AS) from the less severe nonsyndromic genetically related nephropathies that we suggest be called "Alport kidney diseases". RECENT FINDINGS Several research studies have focused on the genotype-phenotype correlation under the latest classification scheme of AS. The historic diagnoses of "benign familial hematuria" and "thin basement membrane nephropathy" linked to heterozygous variants in COL4A3 or COL4A4 are suggested to be obsolete, but instead classified as autosomal AS by recent expert consensus due to a significant risk of disease progression. SUMMARY The concept of Alport kidney disease extends beyond classic AS. Patients carrying pathogenic variants in any one of the COL4A3/A4/A5 genes can have variable phenotypes ranging from completely normal/clinically unrecognizable, hematuria without or with proteinuria, or progression to chronic kidney disease and kidney failure, depending on sex, genotype, and interplays of other genetic as well as environmental factors.
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Affiliation(s)
- Pongpratch Puapatanakul
- Division of Nephrology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Jeffrey H. Miner
- Division of Nephrology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
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Fountoglou A, Deltas C, Siomou E, Dounousi E. Genome-wide association studies reconstructing chronic kidney disease. Nephrol Dial Transplant 2024; 39:395-402. [PMID: 38124660 PMCID: PMC10899781 DOI: 10.1093/ndt/gfad209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Indexed: 12/23/2023] Open
Abstract
Chronic kidney disease (CKD) is a major health problem with an increasing epidemiological burden, and is the 16th leading cause of years of life lost worldwide. It is estimated that more than 10% of the population have a variable stage of CKD, while about 850 million people worldwide are affected. Nevertheless, public awareness remains low, clinical access is inappropriate in many circumstances and medication is still ineffective due to the lack of clear therapeutic targets. One of the main issues that drives these problems is the fact that CKD remains a clinical entity with significant causal ambiguity. Beyond diabetes mellitus and hypertension, which are the two major causes of kidney disease, there are still many gray areas in the diagnostic context of CKD. Genetics nowadays emerges as a promising field in nephrology. The role of genetic factors in CKD's causes and predisposition is well documented and thousands of genetic variants are well established to contribute to the high burden of disease. Next-generation sequencing is increasingly revealing old and new rare variants that cause Mendelian forms of chronic nephropathy while genome-wide association studies (GWAS) uncover common variants associated with CKD-defining traits in the general population. In this article we review how GWAS has revolutionized-and continues to revolutionize-the old concept of CKD. Furthermore, we present how the investigation of common genetic variants with previously unknown kidney significance has begun to expand our knowledge on disease understanding, providing valuable insights into disease mechanisms and perhaps paving the way for novel therapeutic targets.
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Affiliation(s)
- Anastasios Fountoglou
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Constantinos Deltas
- School of Medicine and biobank.cy Center of Excellence in Biobanking and Biomedical Research, University of Cyprus, Nicosia 2109, Cyprus
| | - Ekaterini Siomou
- Department of Pediatrics, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Evangelia Dounousi
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
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Thomasová D, Zelinová M, Libik M, Geryk J, Votýpka P, Rajnochová Bloudíčková S, Krejčí K, Reiterová J, Jančová E, Machová J, Kollárová M, Rychík I, Havrda M, Horáčková M, Putzová M, Šafránek R, Kollár M, Macek M. The most common founder pathogenic variant c.868G > A (p.Val290Met) in the NPHS2 gene in a representative adult Czech cohort with focal segmental glomerulosclerosis is associated with a milder disease and its underdiagnosis in childhood. Front Med (Lausanne) 2023; 10:1320054. [PMID: 38170106 PMCID: PMC10759319 DOI: 10.3389/fmed.2023.1320054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 11/24/2023] [Indexed: 01/05/2024] Open
Abstract
Background Genetic focal segmental glomerulosclerosis (FSGS) is caused by pathogenic variants in a broad spectrum of genes that have a variable representation based on subjects' ethnicity and/or age. The most frequently mutated autosomal recessive gene in FSGS is NPHS2. In this study, we analyzed the spectrum of NPHS2 variants and their associated phenotype in Czech adult FSGS patients. Methods A representative cohort of 234 adult patients with FSGS, derived from 225 families originating from all regions of Czechia, was analyzed by massively parallel sequencing. In this study, we focused on the comprehensive analysis of the NPHS2 gene. The histological classification of FSGS followed the Columbia classification. Results We detected seven (3%) cases bearing homozygous or compound heterozygous pathogenic NPHS2 variants. A single pathogenic variant c.868G > A (p.Val290Met) was found in the majority of NPHS2-positive cases (86%; 6 out of 7) in histologically confirmed instances of FSGS. Its allele frequency among unrelated NPHS2-associated FSGS patients was 50% (6/12), and Haplotype analysis predicted its origin to be a result of a founder effect. There is an identical V290M-related haplotype on all V290M alleles spanning a 0,7 Mb region flanking NPHS2 in Central European FSGS populations. The phenotype of the p.Val290Met NPHS2-associated FSGS demonstrated a later onset and a much milder course of the disease compared to other NPHS2 pathogenic variants associated with FSGS. The mean age of the FSGS diagnosis based on kidney biopsy evaluation was 31.2 ± 7.46 years. In 50% of all cases, the initial disease manifestation of proteinuria occurred only in adulthood, with 83% of these cases not presenting with edemas. One-third (33%) of the studied subjects progressed to ESRD (2 out of 6) at the mean age of 35.0 ± 2.82 years. Conclusions We identified the most prevalent pathogenic variant, p.Val290Met, in the NPHS2 gene among Czech adult FSGS patients, which has arisen due to a founder effect in Central Europe. The documented milder course of the disease associated with this variant leads to the underdiagnosis in childhood. We established the histopathological features of the NPHS2-associated adult FSGS cases based on the Columbia classification. This might improve patient stratification and optimize their treatment.
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Affiliation(s)
- Dana Thomasová
- Institute of Biology and Medical Genetics, University Hospital Motol and 2nd Faculty of Medicine, Charles University Prague, Prague, Czechia
| | - Michaela Zelinová
- Institute of Biology and Medical Genetics, University Hospital Motol and 2nd Faculty of Medicine, Charles University Prague, Prague, Czechia
| | - Malgorzata Libik
- Institute of Biology and Medical Genetics, University Hospital Motol and 2nd Faculty of Medicine, Charles University Prague, Prague, Czechia
| | - Jan Geryk
- Institute of Biology and Medical Genetics, University Hospital Motol and 2nd Faculty of Medicine, Charles University Prague, Prague, Czechia
| | - Pavel Votýpka
- Institute of Biology and Medical Genetics, University Hospital Motol and 2nd Faculty of Medicine, Charles University Prague, Prague, Czechia
| | | | - Karel Krejčí
- 3rd Department of Internal Medicine-Nephrology, Rheumatology and Endocrinology, University Hospital and Faculty of Medicine Palacký University Olomouc, Olomouc, Czechia
| | - Jana Reiterová
- Department of Nephrology, General University Hospital in Prague, First Faculty of Medicine, Charles University, Prague, Czechia
| | - Eva Jančová
- Department of Nephrology, General University Hospital in Prague, First Faculty of Medicine, Charles University, Prague, Czechia
| | - Jana Machová
- Department of Internal Medicine I, Faculty of Medicine in Pilsen, Charles University and Teaching Hospital, Pilsen, Czechia
- Biomedical Centre, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czechia
| | - Martina Kollárová
- Department of Internal Medicine, University Hospital Vinohrady and Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Ivan Rychík
- Department of Internal Medicine, University Hospital Vinohrady and Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Martin Havrda
- Department of Internal Medicine, University Hospital Vinohrady and Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Miroslava Horáčková
- Department of Internal Medicine, University Hospital Motol and 2nd Faculty of Medicine, Charles University, Prague, Czechia
| | - Martina Putzová
- Biopticka Laboratory, Pilsen, Czechia
- Faculty of Medicine in Plzeň - Charles University, Pilsen, Czechia
| | - Roman Šafránek
- Department of Nephrology, University Hospital Hradec Králové, Faculty of Medicine in Hradec Králové, Charles University, Hradec Králové, Czechia
| | - Marek Kollár
- Department of Pathology, Institute for Clinical and Experimental Medicine, Prague, Czechia
| | - Milan Macek
- Institute of Biology and Medical Genetics, University Hospital Motol and 2nd Faculty of Medicine, Charles University Prague, Prague, Czechia
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