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Roht L, Laidre P, Tooming M, Tõnisson N, Nõukas M, Nurm M, Estonian Biobank Research Team, Roomere H, Rekker K, Toome K, Fjodorova O, Murumets Ü, Šamarina U, Pajusalu S, Aaspõllu A, Salumäe L, Muhu K, Soplepmann J, Õunap K, Kahre T. The Prevalence and Molecular Landscape of Lynch Syndrome in the Affected and General Population. Cancers (Basel) 2023; 15:3663. [PMID: 37509324 PMCID: PMC10377710 DOI: 10.3390/cancers15143663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/07/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Lynch syndrome (LS) is the most frequent genetically pre-disposed colorectal cancer (CRC) syndrome, accounting for 2-3% of all CRC cases. In Estonia, ~1000 new cases are diagnosed each year. This retroactive and prospective study aimed to estimate the prevalence of LS and describe disease-causing variants in mismatch repair (MMR) genes in a diagnostic setting and in the Estonian general population. METHODS LS data for the diagnostic cohort were gathered from 2012 to 2022 and data for the general population were acquired from the Estonian Biobank (EstBB). Furthermore, we conducted a pilot study to estimate the improvement of LS diagnostic yield by raising the age limit to >50 years for immunohistochemistry analysis of MMR genes. RESULTS We estimated LS live birth prevalence between 1930 and 2003 in Estonia at 1:8638 (95% CI: 1: 9859-7588). During the study period, we gathered 181 LS individuals. We saw almost a six-fold increase in case prevalence, probably deriving from better health awareness, improved diagnostic possibilities and the implementation of MMR IHC testing in a broader age group. CONCLUSION The most common genes affected in the diagnostic and EstBB cohorts were MLH1 and PMS2 genes, respectively. The LS diagnosis mean age was 44.8 years for index cases and 36.8 years (p = 0.003) for family members. In the MMR IHC pilot study, 29% had LS.
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Affiliation(s)
- Laura Roht
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, 50406 Tartu, Estonia
- Department of Clinical Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
| | - Piret Laidre
- Department of Clinical Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
| | - Mikk Tooming
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, 50406 Tartu, Estonia
- Department of Laboratory Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
| | - Neeme Tõnisson
- Department of Clinical Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
- Estonian Biobank, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - Margit Nõukas
- Estonian Biobank, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, 51010 Tartu, Estonia
| | - Miriam Nurm
- Estonian Biobank, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | | | - Hanno Roomere
- Department of Laboratory Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
| | - Kadri Rekker
- Department of Laboratory Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
| | - Kadri Toome
- Department of Laboratory Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
| | - Olga Fjodorova
- Department of Laboratory Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
| | - Ülle Murumets
- Department of Laboratory Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
| | - Ustina Šamarina
- Department of Laboratory Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
| | - Sander Pajusalu
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, 50406 Tartu, Estonia
- Department of Clinical Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
- Department of Laboratory Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
| | | | - Liis Salumäe
- Pathology Service, Tartu University Hospital, 50406 Tartu, Estonia
| | - Kristina Muhu
- Estonian Unemployment Insurance Fund, 10142 Tallinn, Estonia
| | - Jaan Soplepmann
- Department of Surgical and Gynecological Oncology, Surgery Clinic, Tartu University Hospital, 50406 Tartu, Estonia
- Department of Hematology and Oncology, Institute of Clinical Medicine, University of Tartu, 50406 Tartu, Estonia
| | - Katrin Õunap
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, 50406 Tartu, Estonia
- Department of Clinical Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
| | - Tiina Kahre
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, 50406 Tartu, Estonia
- Department of Laboratory Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, 50406 Tartu, Estonia
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Lee B, Lee SY, Han DH, Park HD. Interpretation of SLC3A1 and SLC7A9 variants in cystinuria patients: The significance of the PM3 criterion and protein stability. Urolithiasis 2023; 51:94. [PMID: 37439839 PMCID: PMC10345071 DOI: 10.1007/s00240-023-01466-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 06/27/2023] [Indexed: 07/14/2023]
Abstract
Cystinuria is a genetic disorder caused by defects in the b0,+ transporter system, which is composed of rBAT and b0,+AT coded by SLC3A1 and SLC7A9, respectively. Variants in SLC3A1 and SLC7A9 follow autosomal recessive inheritance and autosomal dominant inheritance with reduced penetrance, respectively, which complicates the interpretation of cystinuria-related variants. Here, we report seven different SLC3A1 variants and six different SLC7A9 variants. Among these variants were two novel variants previously not reported: SLC3A1 c.223C > T and SLC7A9 c.404A > G. In silico analysis using REVEL correlated well with the functional loss upon SLC7A9 variants with scores of 0.8560-0.9200 and 0.4970-0.5239 for severe and mild decrease in transport activity, respectively. In addition, DynaMut2 was able to predict a decreased protein expression level resulting from the SLC7A9 variant c.313G > A with a ΔΔGStability -2.93 kcal/mol. Our study adds to the literature as additional cases of a variant allow applying the PM3 criterion with higher strength level. In addition, we suggest the clinical utility of REVEL and DynaMut2 in interpreting SLC3A1 and SLC7A9 variants. While a decreased protein expression level is not embraced in the current variant interpretation guidelines, we believe in silico protein stability predicting tools could serve as evidence of protein function loss.
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Affiliation(s)
- Beomki Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
| | - Soo-Youn Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Deok Hyun Han
- Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea.
| | - Hyung-Doo Park
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea.
- Department of Medical Device Management and Research, SAIHST, Sungkyunkwan University, Seoul, 06355, Korea.
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Mohamed FE, Ghattas MA, Almansoori TM, Tabouni M, Baydoun I, Kizhakkedath P, John A, Alblooshi H, Shaukat Q, Al-Jasmi F. Novel compound heterozygous variants (c.971delA/c.542C > T) in SLC1A4 causes spastic tetraplegia, thin corpus callosum, and progressive microcephaly: a case report and mutational analysis. Front Pediatr 2023; 11:1183574. [PMID: 37502193 PMCID: PMC10369183 DOI: 10.3389/fped.2023.1183574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 06/26/2023] [Indexed: 07/29/2023] Open
Abstract
Spastic tetraplegia, thin corpus callosum, and progressive microcephaly (SPATCCM) are linked to SLC1A4 genetic variants since the first reported case in 2015. SLC1A4 encodes for the neutral amino acid transporter ASCT1 which is involved in the transportation of serine between astrocytes and neurons. Although most of the reported cases are of Ashkenazi Jewish ancestry, SPATCCM has also been reported in Irish, Italian, Czech, Palestinian, and Pakistani ethnicities. Herein, we report two Pakistani male siblings from a non-consanguineous marriage presented with global developmental delay associated with spastic quadriplegia, microcephaly, and infantile spasm. Since infancy, both siblings suffered from microcephaly with brain MRI demonstrating generalized atrophy of the frontal, temporal, and parietal lobes with a prominence of the subarachnoid spaces, widening of the Sylvian fissures, and enlargement of the ventricular system not compatible with the chronological age of both patients associated with thinning of the corpus callosum. Whole-exome sequencing of both affected brothers revealed novel compound heterozygous variants in the SLC1A4 gene (NM_003038) segregating from their parents. The maternal c.971delA (p.N324Tfs*29) deletion variant disturbs the transcript reading frame leading to the generation of a premature stop codon and its subsequent degradation by nonsense-mediated mRNA decay as detected through expression analysis. The paternal c.542C > T (p.S181F) missense variant was predicted deleterious via multiple in silico prediction tools as the amino acid substitution is speculated to affect the overall ASCT1 structural confirmation due to the loss of an H-bond at the core of the protein at this position which might affect its function as concluded from the simulation analysis. The presented cases expand the genetic and clinical spectrum of ASCT1 deficiency and support the importance of including SLC1A4 gene screening in infants with unexplained global neurodevelopmental delay regardless of ethnicity.
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Affiliation(s)
- Feda E. Mohamed
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Mohammad A. Ghattas
- College of Pharmacy, Al Ain University, Al Ain, United Arab Emirates
- AAU Health and Biomedical Research Center, Al Ain University, Abu Dhabi, United Arab Emirates
| | - Taleb M. Almansoori
- Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Mohammed Tabouni
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Ibrahim Baydoun
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Praseetha Kizhakkedath
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Anne John
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Hiba Alblooshi
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Qudsia Shaukat
- Department of Pediatrics, Tawam Hospital, Al Ain, United Arab Emirates
| | - Fatma Al-Jasmi
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
- Department of Pediatrics, Tawam Hospital, Al Ain, United Arab Emirates
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Boga I, Ozemri Sag S, Duman N, Ozdemir SY, Ergoren MC, Dalci K, Mujde C, Parsak CK, Rencuzogullari C, Sonmezler O, Yalav O, Alemdar A, Aliyeva L, Bozkurt O, Cetintas S, Cubukcu E, Deligonul A, Dogan B, Ornek Erguzeloglu C, Evrensel T, Gokgoz S, Senol K, Tolunay S, Akyurek E, Basgoz N, Gökçe N, Dundar B, Ozturk F, Taskin D, Demirtas M, Cag M, Diker O, Olgun P, Tug Bozdogan S, Dundar M, Bisgin A, Temel SG. A Multicenter Study of Genotype Variation/Demographic Patterns in 2475 Individuals Including 1444 Cases With Breast Cancer in Turkey. Eur J Breast Health 2023; 19:235-252. [PMID: 37415649 PMCID: PMC10320635 DOI: 10.4274/ejbh.galenos.2023.2023-2-5] [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: 03/29/2023] [Accepted: 05/30/2023] [Indexed: 07/08/2023]
Abstract
Objective Breast cancer (BC) is the most common cancer type in women and may be inherited, mostly in an autosomal dominant pattern. The clinical diagnosis of BC relies on the published diagnostic criteria, and analysis of two genes, BRCA1 and BRCA2, which are strongly associated with BC, are included in these criteria. The aim of this study was to compare BC index cases with non-BC individuals in terms of genotype and diagnostic features to investigate the genotype/demographic information association. Materials and Methods Mutational analyses for the BRCA1/BRCA2 genes was performed in 2475 individuals between 2013-2022 from collaborative centers across Turkey, of whom 1444 with BC were designated as index cases. Results Overall, mutations were identified in 17% (421/2475), while the percentage of mutation carriers in cases of BC was similar, 16.6% (239/1444). BRCA1/BRCA2 gene mutations were detected in 17.8% (131/737) of familial cases and 12% (78/549) of sporadic cases. Mutations in BRCA1 were found in 4.9%, whereas 12% were in BRCA2 (p<0.05). Meta-analyses were performed to compare these results with other studies of Mediterranean-region populations. Conclusion Patients with BRCA2 mutations were significantly more common than those with BRCA1 mutations. In sporadic cases, there was a lower proportion with BRCA1/BRCA2 variants, as expected, and these results were consistent with the data of Mediterranean-region populations. However, the present study, because of the large sample size, revealed more robust findings than previous studies. These findings may be helpful in facilitating the clinical management of BC for both familial and non-familial cases.
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Affiliation(s)
- Ibrahim Boga
- Cukurova University AGENTEM (Adana Genetic Diseases Diagnosis and Treatment Center), Adana, Turkey
- Department of Medical Genetics, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Sebnem Ozemri Sag
- Department of Medical Genetics and Genetic Diseases Diagnosis Center, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Nilgun Duman
- Department of Medical Genetics, Bezmialem Vakif University, Dragos Hospital, Istanbul, Turkey
| | - Sevda Yesim Ozdemir
- Department of Medical Genetics, Uskudar University Faculty of Medicine, Istanbul, Turkey
| | - Mahmut Cerkez Ergoren
- Department of Medical Genetics, Near East University Faculty of Medicine, Nicosia, Cyprus
- Near East University, DESAM Institute, Nicosia, Cyprus
| | - Kubilay Dalci
- Department of General Surgery, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Cem Mujde
- Cukurova University AGENTEM (Adana Genetic Diseases Diagnosis and Treatment Center), Adana, Turkey
| | - Cem Kaan Parsak
- Department of General Surgery, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Cagla Rencuzogullari
- Cukurova University AGENTEM (Adana Genetic Diseases Diagnosis and Treatment Center), Adana, Turkey
| | - Ozge Sonmezler
- Cukurova University AGENTEM (Adana Genetic Diseases Diagnosis and Treatment Center), Adana, Turkey
| | - Orcun Yalav
- Department of General Surgery, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Adem Alemdar
- Department of Translational Medicine, Bursa Uludag University Institute of Health Sciences, Bursa, Turkey
| | - Lamiya Aliyeva
- Department of Medical Genetics and Genetic Diseases Diagnosis Center, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Ozlem Bozkurt
- Department of Medical Pathology, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Sibel Cetintas
- Department of Radiation Oncology, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Erdem Cubukcu
- Department of Medical Oncology, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Adem Deligonul
- Department of Medical Oncology, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Berkcan Dogan
- Department of Medical Genetics and Genetic Diseases Diagnosis Center, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
- Department of Translational Medicine, Bursa Uludag University Institute of Health Sciences, Bursa, Turkey
| | - Cemre Ornek Erguzeloglu
- Department of Translational Medicine, Bursa Uludag University Institute of Health Sciences, Bursa, Turkey
| | - Turkkan Evrensel
- Department of Translational Medicine, Bursa Uludag University Institute of Health Sciences, Bursa, Turkey
- Department of Medical Oncology, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Sehsuvar Gokgoz
- Department of General Surgery, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Kazim Senol
- Department of General Surgery, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Sahsine Tolunay
- Department of Medical Pathology, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Esra Akyurek
- Department of Medical Genetics, Erciyes University Faculty of Medicine, Kayseri, Turkey
| | - Neslihan Basgoz
- Department of Medical Genetics, Erciyes University Faculty of Medicine, Kayseri, Turkey
| | - Nuriye Gökçe
- Department of Medical Genetics, Erciyes University Faculty of Medicine, Kayseri, Turkey
| | - Bilge Dundar
- Department of Medical Genetics, Erciyes University Faculty of Medicine, Kayseri, Turkey
- Department of Pathology, University of Iowa Carver College of Medicine, Iowa City, United States of America
| | - Figen Ozturk
- Department of Pathology, Erciyes University Faculty of Medicine, Kayseri, Turkey
| | - Duygu Taskin
- Department of Medical Genetics, Erciyes University Faculty of Medicine, Kayseri, Turkey
| | | | - Murat Cag
- Department of Vascular Surgery and Transplantation, Strasbourg University Nouvel Hospital, Strasbourg, France
| | - Omer Diker
- Department of Medical Oncology, Near East University Faculty of Medicine, Nicosia, Cyprus
| | - Polat Olgun
- Department of Medical Oncology, Near East University Faculty of Medicine, Nicosia, Cyprus
| | - Sevcan Tug Bozdogan
- Cukurova University AGENTEM (Adana Genetic Diseases Diagnosis and Treatment Center), Adana, Turkey
- Department of Medical Genetics, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Munis Dundar
- Department of Medical Genetics, Erciyes University Faculty of Medicine, Kayseri, Turkey
| | - Atil Bisgin
- Cukurova University AGENTEM (Adana Genetic Diseases Diagnosis and Treatment Center), Adana, Turkey
- Department of Medical Genetics, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Sehime Gulsun Temel
- Department of Medical Genetics and Genetic Diseases Diagnosis Center, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
- Department of Translational Medicine, Bursa Uludag University Institute of Health Sciences, Bursa, Turkey
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Öztürk AP, Yavas Abali Z, Aslanger AD, Bas F, Toksoy G, Karaman V, Bagirova G, Poyrazoglu S, Uyguner ZO, Darendeliler F. Phenotype-Genotype Correlations of GH1 Gene Variants in Patients with Isolated Growth Hormone Deficiency or Multiple Pituitary Hormone Deficiency. Horm Res Paediatr 2023; 97:126-133. [PMID: 37315542 PMCID: PMC11126197 DOI: 10.1159/000531113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/03/2023] [Indexed: 06/16/2023] Open
Abstract
INTRODUCTION Genetic forms of growth hormone deficiency (GHD) may occur as isolated GHD (IGHD) or as a component of multiple pituitary hormone deficiency (MPHD). This study aimed to present the clinical and molecular characteristics of patients with IGHD/MPHD due to the GH1 gene variants. METHODS A gene panel accommodating 25 genes associated with MPHD and short stature was used to search for small sequence variants. Multiplex ligation-dependent probe amplification was performed in patients with normal panel results to investigate gross deletion/duplications. Segregation in the family was performed by Sanger sequencing. RESULTS The GH1 gene variants were detected in 5 patients from four unrelated families. One patient had IGHD IA due to homozygous whole GH1 gene deletion and one had IGHD IB due to novel homozygous c.162C>G/p.(Tyr54*) variant. Two patients from a family had previously reported heterozygous c.291+1G>A/p.(?) variant in which clinical and genetic characteristics were compatible with IGHD II accompanying MPHD. One patient had clinical and laboratory characteristics of IGHD II with MPHD but the heterozygous c.468 C>T/p.(R160W) variant had conflicting results about the relationship with the phenotype. CONCLUSION Expanding our knowledge of the spectrum of GH1 gene variants by apprehending clinical and molecular data of more cases, helps to identify the genotype-phenotype correlation of IGHD/MPHD and the GH1 gene variants. These patients must be regularly followed up for the occurrence of additional pituitary hormone deficiencies.
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Affiliation(s)
- Ayşe Pınar Öztürk
- Department of Pediatric Endocrinology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Zehra Yavas Abali
- Institute of Health Sciences, Istanbul University, Istanbul, Turkey,
- Department of Pediatric Endocrinology, Pendik Research and Training Hospital, Marmara University, Istanbul, Turkey,
- Department of Medical Genetics, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey,
| | - Ayça Dilruba Aslanger
- Department of Medical Genetics, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Firdevs Bas
- Department of Pediatric Endocrinology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Güven Toksoy
- Department of Medical Genetics, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Volkan Karaman
- Department of Medical Genetics, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Gulandam Bagirova
- Department of Medical Genetics, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Sukran Poyrazoglu
- Department of Pediatric Endocrinology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Zehra Oya Uyguner
- Department of Medical Genetics, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Feyza Darendeliler
- Department of Pediatric Endocrinology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
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Apte M, Kumar A. Correlation of mutated gene and signalling pathways in ASD. IBRO Neurosci Rep 2023; 14:384-392. [PMID: 37101819 PMCID: PMC10123338 DOI: 10.1016/j.ibneur.2023.03.011] [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: 01/02/2023] [Accepted: 03/23/2023] [Indexed: 03/29/2023] Open
Abstract
Autism is a complicated spectrum of neurodevelopmental illnesses characterized by repetitive and constrained behaviors and interests, as well as social interaction and communication difficulties that are first shown in infancy. More than 18 million Indians, according to the National Health Portal of India, and 1 in 160 children worldwide, according to the WHO, are diagnosed with autism spectrum disorders. This review aims to discuss the complex genetic architecture that underlies autism and summarizes the role of proteins likely to play in the development of autism. We also consider how genetic mutations can affect convergent signaling pathways and hinder the development of brain circuitry and the role of cognition development and theory of mind with Cognition-behavior therapy benefits in autism.
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Affiliation(s)
- Madhavi Apte
- Quality Assurance and Pharmacognosy and Phytochemistry, SVKM’s Dr. Bhanuben Nanavati College of Pharmacy, Vile Parle, 400056 Mumbai, India
| | - Aayush Kumar
- Quality Assurance, SVKM’s Dr. Bhanuben Nanavati College of Pharmacy, Vile Parle, 400056 Mumbai, India
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Wang Z, Zhao G, Li B, Fang Z, Chen Q, Wang X, Luo T, Wang Y, Zhou Q, Li K, Xia L, Zhang Y, Zhou X, Pan H, Zhao Y, Wang Y, Wang L, Guo J, Tang B, Xia K, Li J. Performance Comparison of Computational Methods for the Prediction of the Function and Pathogenicity of Non-coding Variants. GENOMICS, PROTEOMICS & BIOINFORMATICS 2023; 21:649-661. [PMID: 35272052 PMCID: PMC10787016 DOI: 10.1016/j.gpb.2022.02.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 12/28/2021] [Accepted: 02/27/2022] [Indexed: 06/14/2023]
Abstract
Non-coding variants in the human genome significantly influence human traits and complex diseases via their regulation and modification effects. Hence, an increasing number of computational methods are developed to predict the effects of variants in human non-coding sequences. However, it is difficult for inexperienced users to select appropriate computational methods from dozens of available methods. To solve this issue, we assessed 12 performance metrics of 24 methods on four independent non-coding variant benchmark datasets: (1) rare germline variants from clinical relevant sequence variants (ClinVar), (2) rare somatic variants from Catalogue Of Somatic Mutations In Cancer (COSMIC), (3) common regulatory variants from curated expression quantitative trait locus (eQTL) data, and (4) disease-associated common variants from curated genome-wide association studies (GWAS). All 24 tested methods performed differently under various conditions, indicating varying strengths and weaknesses under different scenarios. Importantly, the performance of existing methods was acceptable for rare germline variants from ClinVar with the area under the receiver operating characteristic curve (AUROC) of 0.4481-0.8033 and poor for rare somatic variants from COSMIC (AUROC = 0.4984-0.7131), common regulatory variants from curated eQTL data (AUROC = 0.4837-0.6472), and disease-associated common variants from curated GWAS (AUROC = 0.4766-0.5188). We also compared the prediction performance of 24 methods for non-coding de novo mutations in autism spectrum disorder, and found that the combined annotation-dependent depletion (CADD) and context-dependent tolerance score (CDTS) methods showed better performance. Summarily, we assessed the performance of 24 computational methods under diverse scenarios, providing preliminary advice for proper tool selection and guiding the development of new techniques in interpreting non-coding variants.
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Affiliation(s)
- Zheng Wang
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Guihu Zhao
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, China; Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Bin Li
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, China; Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Zhenghuan Fang
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, China
| | - Qian Chen
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Xiaomeng Wang
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, China
| | - Tengfei Luo
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, China
| | - Yijing Wang
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, China
| | - Qiao Zhou
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Kuokuo Li
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, China
| | - Lu Xia
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, China
| | - Yi Zhang
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Xun Zhou
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Hongxu Pan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yuwen Zhao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yige Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Lin Wang
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, China; Reproductive Medicine Center, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Jifeng Guo
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, China; Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Beisha Tang
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, China; Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Kun Xia
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, China
| | - Jinchen Li
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, China; Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China; Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, China.
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Petzold F, Billot K, Chen X, Henry C, Filhol E, Martin Y, Avramescu M, Douillet M, Morinière V, Krug P, Jeanpierre C, Tory K, Boyer O, Burgun A, Servais A, Salomon R, Benmerah A, Heidet L, Garcelon N, Antignac C, Zaidan M, Saunier S. The genetic landscape and clinical spectrum of nephronophthisis and related ciliopathies. Kidney Int 2023:S0085-2538(23)00377-0. [PMID: 37230223 DOI: 10.1016/j.kint.2023.05.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 04/26/2023] [Accepted: 05/05/2023] [Indexed: 05/27/2023]
Abstract
Nephronophthisis (NPH) is an autosomal-recessive ciliopathy representing one of the most frequent causes of kidney failure in childhood characterized by a broad clinical and genetic heterogeneity. Applied to one of the worldwide largest cohorts of patients with NPH, genetic analysis encompassing targeted and whole exome sequencing identified disease-causing variants in 600 patients from 496 families with a detection rate of 71%. Of 788 pathogenic variants, 40 known ciliopathy genes were identified. However, the majority of patients (53%) bore biallelic pathogenic variants in NPHP1. NPH-causing gene alterations affected all ciliary modules defined by structural and/or functional subdomains. Seventy six percent of these patients had progressed to kidney failure, of which 18% had an infantile form (under five years) and harbored variants affecting the Inversin compartment or intraflagellar transport complex A. Forty eight percent of patients showed a juvenile (5-15 years) and 34% a late-onset disease (over 15 years), the latter mostly carrying variants belonging to the Transition Zone module. Furthermore, while more than 85% of patients with an infantile form presented with extra-kidney manifestations, it only concerned half of juvenile and late onset cases. Eye involvement represented a predominant feature, followed by cerebellar hypoplasia and other brain abnormalities, liver and skeletal defects. The phenotypic variability were in a large part associated with mutation types, genes and corresponding ciliary modules with hypomorphic variants in ciliary genes playing a role in early steps of ciliogenesis associated with juvenile-to-late onset NPH forms. Thus, our data confirm a considerable proportion of late-onset NPH suggesting an underdiagnosis in adult chronic kidney disease.
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Affiliation(s)
- Friederike Petzold
- Laboratory of Hereditary Kidney Diseases, Université de Paris, Imagine Institute, INSERM UMR 1163, Paris, France; Division of Nephrology, Department of Endocrinology, Nephrology, and Rheumatology, University Hospital Leipzig, Leipzig, Germany
| | - Katy Billot
- Laboratory of Hereditary Kidney Diseases, Université de Paris, Imagine Institute, INSERM UMR 1163, Paris, France
| | - Xiaoyi Chen
- Université de Paris, Imagine Institute, Data Science Platform, INSERM UMR 1163, Paris, France; Centre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université de Paris, Paris, France
| | - Charline Henry
- Laboratory of Hereditary Kidney Diseases, Université de Paris, Imagine Institute, INSERM UMR 1163, Paris, France
| | - Emilie Filhol
- Laboratory of Hereditary Kidney Diseases, Université de Paris, Imagine Institute, INSERM UMR 1163, Paris, France
| | - Yoann Martin
- Laboratory of Hereditary Kidney Diseases, Université de Paris, Imagine Institute, INSERM UMR 1163, Paris, France
| | - Marina Avramescu
- Laboratory of Hereditary Kidney Diseases, Université de Paris, Imagine Institute, INSERM UMR 1163, Paris, France; Department of Pediatry, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Maxime Douillet
- Université de Paris, Imagine Institute, Data Science Platform, INSERM UMR 1163, Paris, France; Centre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université de Paris, Paris, France
| | - Vincent Morinière
- APHP, Génétique moléculaire, Hôpital universitaire Necker-Enfants malades, Paris, France
| | - Pauline Krug
- Laboratory of Hereditary Kidney Diseases, Université de Paris, Imagine Institute, INSERM UMR 1163, Paris, France; Department of Pediatry, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Cécile Jeanpierre
- Laboratory of Hereditary Kidney Diseases, Université de Paris, Imagine Institute, INSERM UMR 1163, Paris, France
| | - Kalman Tory
- Ist Department of Pediatrics, Semmelweis University, 1083 Budapest, Hungary
| | - Olivia Boyer
- Department of Pediatry, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France; Nephrology and Transplantation Department, Centre de référence des Maladies Rénales Héréditaires de l'Enfant et de l'Adulte, Necker Hospital, APHP, Université de Paris, France
| | - Anita Burgun
- Centre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université de Paris, Paris, France; Hôpital Necker-Enfants Malades, Department of Medical Informatics, AP-HP, Paris, France; PaRis Artificial Intelligence Research InstitutE (PRAIRIE), France
| | - Aude Servais
- Nephrology and Transplantation Department, Centre de référence des Maladies Rénales Héréditaires de l'Enfant et de l'Adulte, Necker Hospital, APHP, Université de Paris, France
| | - Remi Salomon
- Laboratory of Hereditary Kidney Diseases, Université de Paris, Imagine Institute, INSERM UMR 1163, Paris, France; Department of Pediatry, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France; Université de Paris, Paris, France
| | - Alexandre Benmerah
- Laboratory of Hereditary Kidney Diseases, Université de Paris, Imagine Institute, INSERM UMR 1163, Paris, France
| | - Laurence Heidet
- Laboratory of Hereditary Kidney Diseases, Université de Paris, Imagine Institute, INSERM UMR 1163, Paris, France; Department of Pediatry, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France; Nephrology and Transplantation Department, Centre de référence des Maladies Rénales Héréditaires de l'Enfant et de l'Adulte, Necker Hospital, APHP, Université de Paris, France
| | - Nicolas Garcelon
- Université de Paris, Imagine Institute, Data Science Platform, INSERM UMR 1163, Paris, France; Centre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université de Paris, Paris, France
| | - Corinne Antignac
- Laboratory of Hereditary Kidney Diseases, Université de Paris, Imagine Institute, INSERM UMR 1163, Paris, France
| | - Mohamad Zaidan
- Assistance Publique des Hôpitaux de Paris (AP-HP), Université Paris-Saclay, Hôpital de Bicêtre, Service de Néphrologie et Transplantation, Le Kremlin-Bicêtre, France; Centre de Compétence Maladies Rares « Syndrome Néphrotique Idiopathique », Hôpital de Bicêtre, Le Kremlin-Bicêtre, France
| | - Sophie Saunier
- Laboratory of Hereditary Kidney Diseases, Université de Paris, Imagine Institute, INSERM UMR 1163, Paris, France.
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Pohl GM, Göz M, Gaertner A, Brodehl A, Cimen T, Saguner AM, Schulze-Bahr E, Walhorn V, Anselmetti D, Milting H. Cardiomyopathy related desmocollin-2 prodomain variants affect the intracellular cadherin transport and processing. Front Cardiovasc Med 2023; 10:1127261. [PMID: 37273868 PMCID: PMC10235514 DOI: 10.3389/fcvm.2023.1127261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 05/02/2023] [Indexed: 06/06/2023] Open
Abstract
Background Arrhythmogenic cardiomyopathy can be caused by genetic variants in desmosomal cadherins. Since cardiac desmosomal cadherins are crucial for cell-cell-adhesion, their correct localization at the plasma membrane is essential. Methods Nine desmocollin-2 variants at five positions from various public genetic databases (p.D30N, p.V52A/I, p.G77V/D/S, p.V79G, p.I96V/T) and three additional conserved positions (p.C32, p.C57, p.F71) within the prodomain were investigated in vitro using confocal microscopy. Model variants (p.C32A/S, p.V52G/L, p.C57A/S, p.F71Y/A/S, p.V79A/I/L, p.I96l/A) were generated to investigate the impact of specific amino acids. Results We revealed that all analyzed positions in the prodomain are critical for the intracellular transport. However, the variants p.D30N, p.V52A/I and p.I96V listed in genetic databases do not disturb the intracellular transport revealing that the loss of these canonical sequences may be compensated. Conclusion As disease-related homozygous truncating desmocollin-2 variants lacking the transmembrane domain are not localized at the plasma membrane, we predict that some of the investigated prodomain variants may be relevant in the context of arrhythmogenic cardiomyopathy due to disturbed intracellular transport.
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Affiliation(s)
- Greta Marie Pohl
- Erich & Hanna Klessmann-Institute for Cardiovascular Research and Development & Clinic for Thoracic and Cardiovascular Surgery, Heart- and Diabetes Center NRW, D-32545 Bad Oeynhausen, University Hospital of the Ruhr-University Bochum, Bad Oeynhausen, Germany
| | - Manuel Göz
- Experimental Biophysics and Applied Nanoscience, Faculty of Physics, University of Bielefeld, NRW, Bielefeld, Germany
| | - Anna Gaertner
- Erich & Hanna Klessmann-Institute for Cardiovascular Research and Development & Clinic for Thoracic and Cardiovascular Surgery, Heart- and Diabetes Center NRW, D-32545 Bad Oeynhausen, University Hospital of the Ruhr-University Bochum, Bad Oeynhausen, Germany
| | - Andreas Brodehl
- Erich & Hanna Klessmann-Institute for Cardiovascular Research and Development & Clinic for Thoracic and Cardiovascular Surgery, Heart- and Diabetes Center NRW, D-32545 Bad Oeynhausen, University Hospital of the Ruhr-University Bochum, Bad Oeynhausen, Germany
| | - Tolga Cimen
- Department of Cardiology, University Heart Center Zurich, University Hospital Zurich, Zürich, Switzerland
| | - Ardan M. Saguner
- Department of Cardiology, University Heart Center Zurich, University Hospital Zurich, Zürich, Switzerland
| | - Eric Schulze-Bahr
- Department of Cardiovascular Medicine, Institute for Genetics of Heart Diseases (IfGH), University Hospital Münster, Münster, Germany
| | - Volker Walhorn
- Experimental Biophysics and Applied Nanoscience, Faculty of Physics, University of Bielefeld, NRW, Bielefeld, Germany
| | - Dario Anselmetti
- Experimental Biophysics and Applied Nanoscience, Faculty of Physics, University of Bielefeld, NRW, Bielefeld, Germany
| | - Hendrik Milting
- Erich & Hanna Klessmann-Institute for Cardiovascular Research and Development & Clinic for Thoracic and Cardiovascular Surgery, Heart- and Diabetes Center NRW, D-32545 Bad Oeynhausen, University Hospital of the Ruhr-University Bochum, Bad Oeynhausen, Germany
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Beers BJ, Similuk MN, Ghosh R, Seifert BA, Jamal L, Kamen M, Setzer MR, Jodarski C, Duncan R, Hunt D, Mixer M, Cao W, Bi W, Veltri D, Karlins E, Zhang L, Li Z, Oler AJ, Jevtich K, Yu Y, Hullfish H, Bielekova B, Frischmeyer-Guerrerio P, Dang Do A, Huryn LA, Olivier KN, Su HC, Lyons JJ, Zerbe CS, Rao VK, Keller MD, Freeman AF, Holland SM, Franco LM, Walkiewicz MA, Yan J. Chromosomal microarray analysis supplements exome sequencing to diagnose children with suspected inborn errors of immunity. Front Immunol 2023; 14:1172004. [PMID: 37215141 PMCID: PMC10196392 DOI: 10.3389/fimmu.2023.1172004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 04/04/2023] [Indexed: 05/24/2023] Open
Abstract
Purpose Though copy number variants (CNVs) have been suggested to play a significant role in inborn errors of immunity (IEI), the precise nature of this role remains largely unexplored. We sought to determine the diagnostic contribution of CNVs using genome-wide chromosomal microarray analysis (CMA) in children with IEI. Methods We performed exome sequencing (ES) and CMA for 332 unrelated pediatric probands referred for evaluation of IEI. The analysis included primary, secondary, and incidental findings. Results Of the 332 probands, 134 (40.4%) received molecular diagnoses. Of these, 116/134 (86.6%) were diagnosed by ES alone. An additional 15/134 (11.2%) were diagnosed by CMA alone, including two likely de novo changes. Three (2.2%) participants had diagnostic molecular findings from both ES and CMA, including two compound heterozygotes and one participant with two distinct diagnoses. Half of the participants with CMA contribution to diagnosis had CNVs in at least one non-immune gene, highlighting the clinical complexity of these cases. Overall, CMA contributed to 18/134 diagnoses (13.4%), increasing the overall diagnostic yield by 15.5% beyond ES alone. Conclusion Pairing ES and CMA can provide a comprehensive evaluation to clarify the complex factors that contribute to both immune and non-immune phenotypes. Such a combined approach to genetic testing helps untangle complex phenotypes, not only by clarifying the differential diagnosis, but in some cases by identifying multiple diagnoses contributing to the overall clinical presentation.
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Affiliation(s)
- Breanna J. Beers
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Morgan N. Similuk
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Rajarshi Ghosh
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Bryce A. Seifert
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Leila Jamal
- National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - Michael Kamen
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Michael R. Setzer
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Colleen Jodarski
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Rylee Duncan
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Devin Hunt
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Madison Mixer
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Wenjia Cao
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Weimin Bi
- Baylor Genetics, Houston, TX, United States
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
| | - Daniel Veltri
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Eric Karlins
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Lingwen Zhang
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Zhiwen Li
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Andrew J. Oler
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Kathleen Jevtich
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Yunting Yu
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Haley Hullfish
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Bibiana Bielekova
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Pamela Frischmeyer-Guerrerio
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - An Dang Do
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, United States
| | - Laryssa A. Huryn
- National Eye Institute, National Institutes of Health, Bethesda, MD, United States
| | - Kenneth N. Olivier
- Division of Pulmonary Diseases and Critical Care Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Helen C. Su
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Jonathan J. Lyons
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Christa S. Zerbe
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - V. Koneti Rao
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Michael D. Keller
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Alexandra F. Freeman
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Steven M. Holland
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Luis M. Franco
- National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Magdalena A. Walkiewicz
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Jia Yan
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
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Bermúdez-Jiménez FJ, Carriel V, Santos-Mateo JJ, Fernández A, García-Hernández S, Ramos KA, Piqueras-Flores J, Cabrera-Romero E, Barriales-Villa R, de la Higuera Romero L, Alcalá López JE, Gimeno Blanes JR, Sánchez-Porras D, Campos F, Alaminos M, Oyonarte-Ramírez JM, Álvarez M, Tercedor L, Brodehl A, Jiménez-Jáimez J. ROD2 domain filamin C missense mutations exhibit a distinctive cardiac phenotype with restrictive/hypertrophic cardiomyopathy and saw-tooth myocardium. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2023; 76:301-311. [PMID: 35952944 DOI: 10.1016/j.rec.2022.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 07/28/2022] [Indexed: 04/29/2023]
Abstract
INTRODUCTION AND OBJECTIVES Missense mutations in the filamin C (FLNC) gene have been reported as cause of inherited cardiomyopathy. Knowledge of the pathogenicity and genotype-phenotype correlation remains scarce. Our aim was to describe a distinctive cardiac phenotype related to rare missense FLNC variants in the ROD2 domain. METHODS We recruited 21 unrelated families genetically evaluated because of hypertrophic cardiomyopathy (HCM)/restrictive cardiomyopathy (RCM) phenotype carrying rare missense variants in the ROD2 domain of FLNC (FLNC-mRod2). Carriers underwent advanced cardiac imaging and genetic cascade screening. Myocardial tissue from 3 explanted hearts of a missense FLNC carrier was histologically analyzed and compared with an FLNC-truncating variant heart sample and a healthy control. Plasmids independently containing 3 FLNC missense variants were transfected and analyzed using confocal microscopy. RESULTS Eleven families (52%) with 20 assessed individuals (37 [23.7-52.7]) years showed 15 cases with a cardiac phenotype consisting of an overlap of HCM-RCM and left ventricular hypertrabeculation (saw-tooth appearance). During a median follow-up of 6.49 years, they presented with advanced heart failure: 16 (80%) diastolic dysfunction, 3 heart transplants, 3 heart failure deaths) and absence of cardiac conduction disturbances or skeletal myopathy. A total of 6 families had moderate genotype-phenotype segregation, and the remaining were de novo variants. Differential extracellular matrix remodeling and FLNC distribution among cardiomyocytes were confirmed on histology. HT1080 and H9c2 cells did not reveal cytoplasmic aggregation of mutant FLNC. CONCLUSIONS FLNC-mRod2 variants show a high prevalence of an overlapped phenotype comprising RCM, HCM and deep hypertrabeculation with saw-tooth appearance and distinctive cardiac histopathological remodeling.
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Affiliation(s)
- Francisco José Bermúdez-Jiménez
- Servicio de Cardiología, Hospital Universitario Virgen de las Nieves, Instituto de Investigación Biosanitaria ibsGRANADA, Granada, Spain; Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
| | - Víctor Carriel
- Departamento de Histología, Grupo de Ingeniería Tisular, Universidad de Granada, Instituto de Investigación Biosanitaria ibsGRANADA, Granada, Spain
| | - Juan José Santos-Mateo
- Servicio de Cardiología, Hospital Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca Murcia (IMIB), Murcia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart (ERN-Guard Heart), Amsterdam, Netherlands
| | - Adrián Fernández
- Servicio de Cardiología, Hospital Universitario Fundación Favaloro, Buenos Aires, Argentina
| | - Soledad García-Hernández
- Health in Code SL, Cardiología y Departamento Científico, Instituto de Investigación Biomédica de A Coruña (INIBIC), A Coruña, Spain
| | - Karina Analía Ramos
- Servicio de Cardiología, Hospital Centenario, Facultad de Ciencias Médicas, Universidad de Rosario, Argentina
| | - Jesús Piqueras-Flores
- Servicio de Cardiología, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain
| | - Eva Cabrera-Romero
- Servicio de Cardiología, Hospital Universitario Puerta de Hierro-Majadahonda, Majadahonda, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Roberto Barriales-Villa
- Complexo Hospitalario Universitario A Coruña, Instituto de Investigación Biomédica de A Coruña (INIBIC), A Coruña, Spain
| | - Luis de la Higuera Romero
- Health in Code SL, Cardiología y Departamento Científico, Instituto de Investigación Biomédica de A Coruña (INIBIC), A Coruña, Spain
| | - Juan Emilio Alcalá López
- Servicio de Cardiología, Hospital Universitario Virgen de las Nieves, Instituto de Investigación Biosanitaria ibsGRANADA, Granada, Spain
| | - Juan Ramón Gimeno Blanes
- Servicio de Cardiología, Hospital Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca Murcia (IMIB), Murcia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart (ERN-Guard Heart), Amsterdam, Netherlands
| | - David Sánchez-Porras
- Departamento de Histología, Grupo de Ingeniería Tisular, Universidad de Granada, Instituto de Investigación Biosanitaria ibsGRANADA, Granada, Spain
| | - Fernando Campos
- Departamento de Histología, Grupo de Ingeniería Tisular, Universidad de Granada, Instituto de Investigación Biosanitaria ibsGRANADA, Granada, Spain
| | - Miguel Alaminos
- Departamento de Histología, Grupo de Ingeniería Tisular, Universidad de Granada, Instituto de Investigación Biosanitaria ibsGRANADA, Granada, Spain
| | - José Manuel Oyonarte-Ramírez
- Servicio de Cardiología, Hospital Universitario Virgen de las Nieves, Instituto de Investigación Biosanitaria ibsGRANADA, Granada, Spain
| | - Miguel Álvarez
- Servicio de Cardiología, Hospital Universitario Virgen de las Nieves, Instituto de Investigación Biosanitaria ibsGRANADA, Granada, Spain
| | - Luis Tercedor
- Servicio de Cardiología, Hospital Universitario Virgen de las Nieves, Instituto de Investigación Biosanitaria ibsGRANADA, Granada, Spain
| | - Andreas Brodehl
- Erich and Hanna Klessmann Institute for Cardiovascular Research & Development (EHKI), Heart and Diabetes Center NRW, University Hospital of the Ruhr-University Bochum, Bad Oeynhausen, Germany
| | - Juan Jiménez-Jáimez
- Servicio de Cardiología, Hospital Universitario Virgen de las Nieves, Instituto de Investigación Biosanitaria ibsGRANADA, Granada, Spain.
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Guo Y, Luo L, Zhu J, Li C. Multi-Omics Research Strategies for Psoriasis and Atopic Dermatitis. Int J Mol Sci 2023; 24:ijms24098018. [PMID: 37175722 PMCID: PMC10178671 DOI: 10.3390/ijms24098018] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/08/2023] [Accepted: 04/22/2023] [Indexed: 05/15/2023] Open
Abstract
Psoriasis and atopic dermatitis (AD) are multifactorial and heterogeneous inflammatory skin diseases, while years of research have yielded no cure, and the costs associated with caring for people suffering from psoriasis and AD are a huge burden on society. Integrating several omics datasets will enable coordinate-based simultaneous analysis of hundreds of genes, RNAs, chromatins, proteins, and metabolites in particular cells, revealing networks of links between various molecular levels. In this review, we discuss the latest developments in the fields of genomes, transcriptomics, proteomics, and metabolomics and discuss how they were used to identify biomarkers and understand the main pathogenic mechanisms underlying these diseases. Finally, we outline strategies for achieving multi-omics integration and how integrative omics and systems biology can advance our knowledge of, and ability to treat, psoriasis and AD.
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Affiliation(s)
- Youming Guo
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing 210042, China
| | - Lingling Luo
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing 210042, China
| | - Jing Zhu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing 210042, China
| | - Chengrang Li
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing 210042, China
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Luppino F, Adzhubei IA, Cassa CA, Toth-Petroczy A. DeMAG predicts the effects of variants in clinically actionable genes by integrating structural and evolutionary epistatic features. Nat Commun 2023; 14:2230. [PMID: 37076482 PMCID: PMC10115847 DOI: 10.1038/s41467-023-37661-z] [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: 04/25/2022] [Accepted: 03/27/2023] [Indexed: 04/21/2023] Open
Abstract
Despite the increasing use of genomic sequencing in clinical practice, the interpretation of rare genetic variants remains challenging even in well-studied disease genes, resulting in many patients with Variants of Uncertain Significance (VUSs). Computational Variant Effect Predictors (VEPs) provide valuable evidence in variant assessment, but they are prone to misclassifying benign variants, contributing to false positives. Here, we develop Deciphering Mutations in Actionable Genes (DeMAG), a supervised classifier for missense variants trained using extensive diagnostic data available in 59 actionable disease genes (American College of Medical Genetics and Genomics Secondary Findings v2.0, ACMG SF v2.0). DeMAG improves performance over existing VEPs by reaching balanced specificity (82%) and sensitivity (94%) on clinical data, and includes a novel epistatic feature, the 'partners score', which leverages evolutionary and structural partnerships of residues. The 'partners score' provides a general framework for modeling epistatic interactions, integrating both clinical and functional information. We provide our tool and predictions for all missense variants in 316 clinically actionable disease genes (demag.org) to facilitate the interpretation of variants and improve clinical decision-making.
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Affiliation(s)
- Federica Luppino
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307, Dresden, Germany
- Center for Systems Biology Dresden, 01307, Dresden, Germany
| | - Ivan A Adzhubei
- Brigham and Women's Hospital Division of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
| | - Christopher A Cassa
- Brigham and Women's Hospital Division of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
| | - Agnes Toth-Petroczy
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307, Dresden, Germany.
- Center for Systems Biology Dresden, 01307, Dresden, Germany.
- Cluster of Excellence Physics of Life, TU Dresden, 01062, Dresden, Germany.
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114
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Pál M, Nagy D, Neller A, Farkas K, Leprán-Török D, Nagy N, Füstös D, Nagy R, Németh A, Szilvássy J, Rovó L, Kiss JG, Széll M. Genetic Etiology of Nonsyndromic Hearing Loss in Hungarian Patients. Int J Mol Sci 2023; 24:ijms24087401. [PMID: 37108562 PMCID: PMC10138659 DOI: 10.3390/ijms24087401] [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: 03/01/2023] [Revised: 04/04/2023] [Accepted: 04/10/2023] [Indexed: 04/29/2023] Open
Abstract
Hearing loss is the most prevalent sensory disorder worldwide. The majority of congenital nonsyndromic hearing loss (NSHL) cases are caused by hereditary factors. Previously, the majority of NSHL studies focused on the GJB2 gene; however, with the availability of next-generation sequencing (NGS) methods, the number of novel variants associated with NSHL has increased. The purpose of this study was to design effective genetic screening for a Hungarian population based on a pilot study with 139 NSHL patients. A stepwise, comprehensive genetic approach was developed, including bidirectional capillary sequencing, multiplex ligation-dependent probe amplification (MLPA), and an NGS panel of 108 hearing loss genes. With our results, a genetic diagnosis was possible for 92 patients. Sanger sequencing and MLPA identified the genetic background of 50% of these diagnosed cases, and the NGS panel identified another 16%. The vast majority (92%) of the diagnosed cases showed autosomal recessive inheritance and 76% were attributed to GJB2. The implementation of this stepwise analysis markedly increased our diagnostic yield and proved to be cost-effective as well.
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Affiliation(s)
- Margit Pál
- Department of Medical Genetics, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary
- ELKH-SZTE Functional Clinical Genetics Research Group, Eötvös Loránd Research Network, 6720 Szeged, Hungary
| | - Dóra Nagy
- Department of Medical Genetics, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary
- Institute of Medical Genetics, Kepler University Hospital Med Campus IV, Johannes Kepler University Linz, 4020 Linz, Austria
| | - Alexandra Neller
- Department of Medical Genetics, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary
- ELKH-SZTE Functional Clinical Genetics Research Group, Eötvös Loránd Research Network, 6720 Szeged, Hungary
| | - Katalin Farkas
- Department of Medical Genetics, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary
| | - Dóra Leprán-Török
- Department of Medical Genetics, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary
| | - Nikoletta Nagy
- Department of Medical Genetics, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary
- ELKH-SZTE Functional Clinical Genetics Research Group, Eötvös Loránd Research Network, 6720 Szeged, Hungary
| | - Dalma Füstös
- Department of Medical Genetics, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary
| | - Roland Nagy
- Department of Oto-Rhino-Laryngology and Head-Neck Surgery, Albert Szent-Györgyi Medical School, University of Szeged, 6720 Szeged, Hungary
| | - Adrienne Németh
- Department of Oto-Rhino-Laryngology and Head-Neck Surgery, University of Pécs, 7621 Pécs, Hungary
| | - Judit Szilvássy
- Department of Otorhinolaryngology and Head-Neck Surgery, University of Debrecen, 4032 Debrecen, Hungary
| | - László Rovó
- Department of Oto-Rhino-Laryngology and Head-Neck Surgery, Albert Szent-Györgyi Medical School, University of Szeged, 6720 Szeged, Hungary
| | - József Géza Kiss
- Department of Oto-Rhino-Laryngology and Head-Neck Surgery, Albert Szent-Györgyi Medical School, University of Szeged, 6720 Szeged, Hungary
| | - Márta Széll
- Department of Medical Genetics, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary
- ELKH-SZTE Functional Clinical Genetics Research Group, Eötvös Loránd Research Network, 6720 Szeged, Hungary
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115
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Geberhiwot T, Wasserstein M, Wanninayake S, Bolton SC, Dardis A, Lehman A, Lidove O, Dawson C, Giugliani R, Imrie J, Hopkin J, Green J, de Vicente Corbeira D, Madathil S, Mengel E, Ezgü F, Pettazzoni M, Sjouke B, Hollak C, Vanier MT, McGovern M, Schuchman E. Consensus clinical management guidelines for acid sphingomyelinase deficiency (Niemann-Pick disease types A, B and A/B). Orphanet J Rare Dis 2023; 18:85. [PMID: 37069638 PMCID: PMC10108815 DOI: 10.1186/s13023-023-02686-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 04/02/2023] [Indexed: 04/19/2023] Open
Abstract
BACKGROUND Acid Sphingomyelinase Deficiency (ASMD) is a rare autosomal recessive disorder caused by mutations in the SMPD1 gene. This rarity contributes to misdiagnosis, delayed diagnosis and barriers to good care. There are no published national or international consensus guidelines for the diagnosis and management of patients with ASMD. For these reasons, we have developed clinical guidelines that defines standard of care for ASMD patients. METHODS The information contained in these guidelines was obtained through a systematic literature review and the experiences of the authors in their care of patients with ASMD. We adopted the Appraisal of Guidelines for Research and Evaluation (AGREE II) system as method of choice for the guideline development process. RESULTS The clinical spectrum of ASMD, although a continuum, varies substantially with subtypes ranging from a fatal infantile neurovisceral disorder to an adult-onset chronic visceral disease. We produced 39 conclusive statements and scored them according to level of evidence, strengths of recommendations and expert opinions. In addition, these guidelines have identified knowledge gaps that must be filled by future research. CONCLUSION These guidelines can inform care providers, care funders, patients and their carers about best clinical practice and leads to a step change in the quality of care for patients with ASMD with or without enzyme replacement therapy (ERT).
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Affiliation(s)
- Tarekegn Geberhiwot
- University Hospital Birmingham NHS Foundation Trust, Birmingham, UK.
- Institute of Metabolism and System Research, University of Birmingham, Birmingham, UK.
| | - Melissa Wasserstein
- Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | | | - Andrea Dardis
- Regional Coordinator Centre for Rare Disease, AMC Hospital of Udine, Udine, Italy
| | - Anna Lehman
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6T 1Z2, Canada
| | - Olivier Lidove
- Department of Internal Medicine, Hôpital de La Croix Saint Simon, Paris, France
| | - Charlotte Dawson
- University Hospital Birmingham NHS Foundation Trust, Birmingham, UK
| | - Roberto Giugliani
- BioDiscovery and DR BRASIL Research Group, HCPA, Department of Genetics and PPGBM, UFRGS, INAGEMP, DASA, and Casa Dos Raros, Porto Alegre, Brazil
| | - Jackie Imrie
- International Niemann-Pick Disease Registry, Newcastle, UK
| | - Justin Hopkin
- National Niemann-Pick Disease Foundation, Fort Atkinson, WI, USA
| | - James Green
- International Niemann-Pick Disease Registry, Newcastle, UK
| | | | - Shyam Madathil
- Department of Respiratory Medicine, University Hospital Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Birmingham, UK
| | - Eugen Mengel
- Institute of Clinical Science in LSD, SphinCS, Hochheim, Germany
| | - Fatih Ezgü
- Division of Pediatric Metabolism and Division of Pediatric Genetics, Department of Pediatrics, Gazi University Faculty of Medicine, 06560, Ankara, Turkey
| | - Magali Pettazzoni
- Biochemistry and Molecular Biology and Reference Center for Inherited Metabolic Disorders, Hospices Civils de Lyon, 59 Boulevard Pinel, 69677, Bron Cedex, France
| | - Barbara Sjouke
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, Academic Medical Center, University of Amsterdam, F5-169, P.O. Box 22660, 1100 DD, Amsterdam, The Netherlands
| | - Carla Hollak
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, Academic Medical Center, University of Amsterdam, F5-169, P.O. Box 22660, 1100 DD, Amsterdam, The Netherlands
| | | | | | - Edward Schuchman
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, Room 14-20A, New York, NY, 10029, USA
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116
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Han J, Joo K, Kim US, Woo SJ, Lee EK, Lee JY, Park TK, Kim SJ, Byeon SH. Voretigene Neparvovec for the Treatment of RPE65-associated Retinal Dystrophy: Consensus and Recommendations from the Korea RPE65-IRD Consensus Paper Committee. KOREAN JOURNAL OF OPHTHALMOLOGY 2023; 37:166-186. [PMID: 36950921 PMCID: PMC10151174 DOI: 10.3341/kjo.2023.0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/12/2023] [Accepted: 03/15/2023] [Indexed: 03/24/2023] Open
Abstract
Mutations in the RPE65 gene, associated with Leber congenital amaurosis, early-onset severe retinal dystrophy, and retinitis pigmentosa, gained growing attention since gene therapy for patients with RPE65-associated retinal dystrophy is available in clinical practice. RPE65 gene accounts for a very small proportion of patients with inherited retinal degeneration, especially Asian patients. Because RPE65-associated retinal dystrophy shares common clinical characteristics, such as early-onset severe nyctalopia, nystagmus, low vision, and progressive visual field constriction, with retinitis pigmentosa by other genetic mutations, appropriate genetic testing is essential to make a correct diagnosis. Also, fundus abnormalities can be minimal in early childhood, and the phenotype is highly variable depending on the type of mutations in RPE65-associated retinal dystrophy, which makes a diagnostic difficulty. The aim of this paper is to review the epidemiology of RPE65-associated retinal dystrophy, mutation spectrum, genetic diagnosis, clinical characteristics, and voretigene neparvovec, a gene therapy product for the treatment of RPE65-related retinal dystrophy.
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Affiliation(s)
- Jinu Han
- Institute of Vision Research, Department of Ophthalmology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul,
Korea
| | - Kwangsic Joo
- Department of Ophthalmology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam,
Korea
| | - Ungsoo Samuel Kim
- Department of Ophthalmology, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong,
Korea
| | - Se Joon Woo
- Department of Ophthalmology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam,
Korea
| | - Eun Kyoung Lee
- Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul,
Korea
| | - Joo Yong Lee
- Department of Ophthalmology, Asan Medical Center, University of Ulsan College of Medicine, Seoul,
Korea
| | - Tae Kwann Park
- Department of Ophthalmology, Soonchunhyang University Bucheon Hospital, Bucheon,
Korea
| | - Sang Jin Kim
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul,
Korea
| | - Suk Ho Byeon
- Institute of Vision Research, Department of Ophthalmology, Severance Hospital, Yonsei University College of Medicine, Seoul,
Korea
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117
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Seyerle AA, Laurie CA, Coombes BJ, Jain D, Conomos MP, Brody J, Chen MH, Gogarten SM, Beutel KM, Gupta N, Heckbert SR, Jackson RD, Johnson AD, Ko D, Manson JE, McKnight B, Metcalf GA, Morrison AC, Reiner AP, Sofer T, Tang W, Wiggins KL, Boerwinkle E, de Andrade M, Gabriel SB, Gibbs RA, Laurie CC, Psaty BM, Vasan RS, Rice K, Kooperberg C, Pankow JS, Smith NL, Pankratz N. Whole Genome Analysis of Venous Thromboembolism: the Trans-Omics for Precision Medicine Program. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2023; 16:e003532. [PMID: 36960714 PMCID: PMC10151032 DOI: 10.1161/circgen.121.003532] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 01/04/2023] [Indexed: 03/25/2023]
Abstract
BACKGROUND Risk for venous thromboembolism has a strong genetic component. Whole genome sequencing from the TOPMed program (Trans-Omics for Precision Medicine) allowed us to look for new associations, particularly rare variants missed by standard genome-wide association studies. METHODS The 3793 cases and 7834 controls (11.6% of cases were individuals of African, Hispanic/Latino, or Asian ancestry) were analyzed using a single variant approach and an aggregate gene-based approach using our primary filter (included only loss-of-function and missense variants predicted to be deleterious) and our secondary filter (included all missense variants). RESULTS Single variant analyses identified associations at 5 known loci. Aggregate gene-based analyses identified only PROC (odds ratio, 6.2 for carriers of rare variants; P=7.4×10-14) when using our primary filter. Employing our secondary variant filter led to a smaller effect size at PROC (odds ratio, 3.8; P=1.6×10-14), while excluding variants found only in rare isoforms led to a larger one (odds ratio, 7.5). Different filtering strategies improved the signal for 2 other known genes: PROS1 became significant (minimum P=1.8×10-6 with the secondary filter), while SERPINC1 did not (minimum P=4.4×10-5 with minor allele frequency <0.0005). Results were largely the same when restricting the analyses to include only unprovoked cases; however, one novel gene, MS4A1, became significant (P=4.4×10-7 using all missense variants with minor allele frequency <0.0005). CONCLUSIONS Here, we have demonstrated the importance of using multiple variant filtering strategies, as we detected additional genes when filtering variants based on their predicted deleteriousness, frequency, and presence on the most expressed isoforms. Our primary analyses did not identify new candidate loci; thus larger follow-up studies are needed to replicate the novel MS4A1 locus and to identify additional rare variation associated with venous thromboembolism.
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Affiliation(s)
- Amanda A. Seyerle
- Division of Pharmaceutical Outcomes & Policy, Eshelman School of Pharmacy, Univ of North Carolina at Chapel Hill, Chapel Hill, NC
- Carolina Health Informatics Program, Univ of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | | | - Deepti Jain
- Dept of Biostatistics, Univ of Washington, Seattle, WA
| | | | - Jennifer Brody
- Cardiovascular Health Rsrch Unit, Univ of Washington, Seattle, WA
| | - Ming-Huei Chen
- NHLB’s The Framingham Heart Study, Population Sciences Branch, Division of Intramural Rsrch, National Heart, Lung, and Blood Inst, Framingham, MA
| | | | - Kathleen M. Beutel
- Dept of Laboratory Medicine & Pathology, School of Medicine, Univ of Minnesota, Minneapolis, MN
| | | | - Susan R. Heckbert
- Cardiovascular Health Rsrch Unit, Univ of Washington, Seattle, WA
- Dept of Epidemiology, Univ of Washington, Seattle, WA
| | - Rebecca D. Jackson
- Division of Endocrinology, Diabetes & Metabolism, Ohio State Univ, Columbus, OH
| | - Andrew D. Johnson
- NHLB’s The Framingham Heart Study, Population Sciences Branch, Division of Intramural Rsrch, National Heart, Lung, and Blood Inst, Framingham, MA
| | - Darae Ko
- Cardiovascular Medicine Section, Boston Univ School of Medicine
| | - JoAnn E. Manson
- Dept of Epidemiology, TH Chan School of Public Health, Harvard Univ, Boston, MA
| | | | | | - Alanna C. Morrison
- Human Genetics Ctr, Dept of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, Univ of Texas Health Science Ctr at Houston, Houston, TX
| | | | - Tamar Sofer
- Division of Sleep & Circadian Disorders, Brigham and Women’s Hospital
- Dept of Medicine, Harvard Medical School, Boston, MA
| | - Weihong Tang
- Division of Epidemiology & Community Health, Univ of Minnesota, Minneapolis, MN
| | - Kerri L. Wiggins
- Cardiovascular Health Rsrch Unit, Univ of Washington, Seattle, WA
| | | | - Eric Boerwinkle
- Human Genetics Ctr, Dept of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, Univ of Texas Health Science Ctr at Houston, Houston, TX
| | | | | | | | | | - Bruce M. Psaty
- Cardiovascular Health Rsrch Unit, Univ of Washington, Seattle, WA
- Dept of Epidemiology, Univ of Washington, Seattle, WA
- Depts of Medicine & Health Services, Univ of Washington, Seattle, WA
- Kaiser Permanente Washington Health Rsrch Inst, Seattle, WA
| | | | - Ken Rice
- Dept of Biostatistics, Univ of Washington, Seattle, WA
| | | | - James S. Pankow
- Division of Epidemiology & Community Health, Univ of Minnesota, Minneapolis, MN
| | - Nicholas L. Smith
- Cardiovascular Health Rsrch Unit, Univ of Washington, Seattle, WA
- Dept of Epidemiology, Univ of Washington, Seattle, WA
- Seattle Epidemiologic Rsrch & Information Ctr, VA Office of Rsrch & Development, Seattle, WA
| | - Nathan Pankratz
- Dept of Laboratory Medicine & Pathology, School of Medicine, Univ of Minnesota, Minneapolis, MN
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118
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Wang G, Vasquez KM. Dynamic alternative DNA structures in biology and disease. Nat Rev Genet 2023; 24:211-234. [PMID: 36316397 DOI: 10.1038/s41576-022-00539-9] [Citation(s) in RCA: 55] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/27/2022] [Indexed: 11/06/2022]
Abstract
Repetitive elements in the human genome, once considered 'junk DNA', are now known to adopt more than a dozen alternative (that is, non-B) DNA structures, such as self-annealed hairpins, left-handed Z-DNA, three-stranded triplexes (H-DNA) or four-stranded guanine quadruplex structures (G4 DNA). These dynamic conformations can act as functional genomic elements involved in DNA replication and transcription, chromatin organization and genome stability. In addition, recent studies have revealed a role for these alternative structures in triggering error-generating DNA repair processes, thereby actively enabling genome plasticity. As a driving force for genetic variation, non-B DNA structures thus contribute to both disease aetiology and evolution.
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Affiliation(s)
- Guliang Wang
- Division of Pharmacology and Toxicology, College of Pharmacy, The University of Texas at Austin, Dell Paediatric Research Institute, Austin, TX, USA
| | - Karen M Vasquez
- Division of Pharmacology and Toxicology, College of Pharmacy, The University of Texas at Austin, Dell Paediatric Research Institute, Austin, TX, USA.
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119
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How does precursor RNA structure influence RNA processing and gene expression? Biosci Rep 2023; 43:232489. [PMID: 36689327 PMCID: PMC9977717 DOI: 10.1042/bsr20220149] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 01/17/2023] [Accepted: 01/23/2023] [Indexed: 01/24/2023] Open
Abstract
RNA is a fundamental biomolecule that has many purposes within cells. Due to its single-stranded and flexible nature, RNA naturally folds into complex and dynamic structures. Recent technological and computational advances have produced an explosion of RNA structural data. Many RNA structures have regulatory and functional properties. Studying the structure of nascent RNAs is particularly challenging due to their low abundance and long length, but their structures are important because they can influence RNA processing. Precursor RNA processing is a nexus of pathways that determines mature isoform composition and that controls gene expression. In this review, we examine what is known about human nascent RNA structure and the influence of RNA structure on processing of precursor RNAs. These known structures provide examples of how other nascent RNAs may be structured and show how novel RNA structures may influence RNA processing including splicing and polyadenylation. RNA structures can be targeted therapeutically to treat disease.
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120
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Alvarez-Mora MI, Rodríguez-Revenga L, Jodar M, Potrony M, Sanchez A, Badenas C, Oriola J, Villanueva-Cañas JL, Muñoz E, Valldeoriola F, Cámara A, Compta Y, Carreño M, Martí MJ, Sánchez-Valle R, Madrigal I. Implementation of Exome Sequencing in Clinical Practice for Neurological Disorders. Genes (Basel) 2023; 14:genes14040813. [PMID: 37107571 PMCID: PMC10137364 DOI: 10.3390/genes14040813] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/21/2023] [Accepted: 03/25/2023] [Indexed: 03/30/2023] Open
Abstract
Neurological disorders (ND) are diseases that affect the brain and the central and autonomic nervous systems, such as neurodevelopmental disorders, cerebellar ataxias, Parkinson’s disease, or epilepsies. Nowadays, recommendations of the American College of Medical Genetics and Genomics strongly recommend applying next generation sequencing (NGS) as a first-line test in patients with these disorders. Whole exome sequencing (WES) is widely regarded as the current technology of choice for diagnosing monogenic ND. The introduction of NGS allows for rapid and inexpensive large-scale genomic analysis and has led to enormous progress in deciphering monogenic forms of various genetic diseases. The simultaneous analysis of several potentially mutated genes improves the diagnostic process, making it faster and more efficient. The main aim of this report is to discuss the impact and advantages of the implementation of WES into the clinical diagnosis and management of ND. Therefore, we have performed a retrospective evaluation of WES application in 209 cases referred to the Department of Biochemistry and Molecular Genetics of the Hospital Clinic of Barcelona for WES sequencing derived from neurologists or clinical geneticists. In addition, we have further discussed some important facts regarding classification criteria for pathogenicity of rare variants, variants of unknown significance, deleterious variants, different clinical phenotypes, or frequency of actionable secondary findings. Different studies have shown that WES implementation establish diagnostic rate around 32% in ND and the continuous molecular diagnosis is essential to solve the remaining cases.
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121
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Alkhamis FA, Alabdali MM, Alsulaiman AA, Alamri AS, Alali R, Akhtar MS, Alsalman SA, Cyrus C, Albakr AI, Alduhalan AS, Gandla D, Al-Romaih K, Abouelhoda M, Loza BL, Keating B, Al-Ali AK. Whole-exome sequencing analyses in a Saudi Ischemic Stroke Cohort reveal association signals, and shows polygenic risk scores are related to Modified Rankin Scale Risk. Funct Integr Genomics 2023; 23:102. [PMID: 36973604 PMCID: PMC10042957 DOI: 10.1007/s10142-023-01039-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/22/2023] [Accepted: 03/23/2023] [Indexed: 03/29/2023]
Abstract
Ischemic stroke represents a significant societal burden across the globe. Rare high penetrant monogenic variants and less pathogenic common single nucleotide polymorphisms (SNPs) have been described as being associated with risk of diseases. Genetic studies in Saudi Arabian patients offer a greater opportunity to detect rare high penetrant mutations enriched in these consanguineous populations. We performed whole exome sequencing on 387 ischemic stroke subjects from Saudi Arabian hospital networks with up to 20,230 controls from the Saudi Human Genome Project and performed gene burden analyses of variants in 177 a priori loci derived from knowledge-driven curation of monogenic and genome-wide association studies of stroke. Using gene-burden analyses, we observed significant associations in numerous loci under autosomal dominant and/or recessive modelling. Stroke subjects with modified Rankin Scale (mRSs) above 3 were found to carry greater cumulative polygenic risk score (PRS) from rare variants in stroke genes (standardized PRS mean > 0) compared to the population average (standardized PRS mean = 0). However, patients with mRS of 3 or lower had lower cumulative genetic risk from rare variants in stroke genes (OR (95%CI) = 1.79 (1.29-2.49), p = 0.0005), with the means of standardized PRS at or lower than 0. In conclusion, gene burden testing in Saudi stroke populations reveals a number of statistically significant signals under different disease inheritance models. However, interestingly, stroke subjects with mRS of 3 or lower had lower cumulative genetic risk from rare variants in stroke genes and therefore, determining the potential mRS cutoffs to use for clinical significance may allow risk stratification of this population.
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Affiliation(s)
- Fahad A Alkhamis
- Department of Neurology, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia
| | - Majed M Alabdali
- Department of Neurology, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia
| | - Abdulla A Alsulaiman
- Department of Neurology, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia
| | - Abdullah S Alamri
- Department of Neurology, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia
| | - Rudaynah Alali
- Department of Internal Medicine, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia
| | - Mohammed S Akhtar
- Department of Clinical Biochemistry, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia
| | - Sadiq A Alsalman
- Department of Neurology, King Fahd Hospital, Alhafof, Saudi Arabia
| | - Cyril Cyrus
- Department of Clinical Biochemistry, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia
| | - Aishah I Albakr
- Department of Neurology, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia
| | - Anas S Alduhalan
- Department of Neurology, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia
| | - Divya Gandla
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | | | | | - Bao-Li Loza
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Brendan Keating
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Amein K Al-Ali
- Department of Clinical Biochemistry, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.
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Mueller BL, Liberman MJ, Kolpashchikov DM. OWL2: a molecular beacon-based nanostructure for highly selective detection of single-nucleotide variations in folded nucleic acids. NANOSCALE 2023; 15:5735-5742. [PMID: 36880268 DOI: 10.1039/d2nr05590b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Hybridization probes have been used in the detection of specific nucleic acids for the last 50 years. Despite the extensive efforts and the great significance, the challenges of the commonly used probes include (1) low selectivity in detecting single nucleotide variations (SNV) at low (e.g. room or 37 °C) temperatures; (2) low affinity in binding folded nucleic acids, and (3) the cost of fluorescent probes. Here we introduce a multicomponent hybridization probe, called OWL2 sensor, which addresses all three issues. The OWL2 sensor uses two analyte binding arms to tightly bind and unwind folded analytes, and two sequence-specific strands that bind both the analyte and a universal molecular beacon (UMB) probe to form fluorescent 'OWL' structure. The OWL2 sensor was able to differentiate single base mismatches in folded analytes in the temperature range of 5-38 °C. The design is cost-efficient since the same UMB probe can be used for detecting any analyte sequence.
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Affiliation(s)
- Brittany L Mueller
- Chemistry Department, University of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816, USA.
| | - Mark J Liberman
- Chemistry Department, University of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816, USA.
| | - Dmitry M Kolpashchikov
- Chemistry Department, University of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816, USA.
- Burnett School of Biomedical Sciences, University of Central Florida, Orlando, Florida, USA
- National Center for Forensic Science, University of Central Florida, Orlando, FL, USA
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Dohr KA, Tokic S, Gastager-Ehgartner M, Stojakovic T, Dumic M, Plecko B, Dumic KK. Two Single Nucleotide Deletions in the ABCD1 Gene Causing Distinct Phenotypes of X-Linked Adrenoleukodystrophy. Int J Mol Sci 2023; 24:ijms24065957. [PMID: 36983033 PMCID: PMC10051867 DOI: 10.3390/ijms24065957] [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: 12/31/2022] [Revised: 03/02/2023] [Accepted: 03/06/2023] [Indexed: 03/30/2023] Open
Abstract
X-linked adrenoleukodystrophy (X-ALD) is a rare inborn error of the peroxisomal metabolism caused by pathologic variants in the ATP-binding cassette transporter type D, member 1 (ABCD1) gene located on the X-chromosome. ABCD1 protein, also known as adrenoleukodystrophy protein, is responsible for transport of the very long chain fatty acids (VLCFA) from cytoplasm into the peroxisomes. Therefore, altered function or lack of the ABCD1 protein leads to accumulation of VLCFA in various tissues and blood plasma leading to either rapidly progressive leukodystrophy (cerebral ALD), progressive adrenomyeloneuropathy (AMN), or isolated primary adrenal insufficiency (Addison's disease). We report two distinct single nucleotide deletions in the ABCD1 gene, c.253delC [p.Arg85Glyfs*18] in exon 1, leading to both cerebral ALD and to AMN phenotype in one family, and c.1275delA [p.Phe426Leufs*15] in exon 4, leading to AMN and primary adrenal insufficiency in a second family. For the latter variant, we demonstrate reduced mRNA expression and a complete absence of the ABCD1 protein in PBMC. Distinct mRNA and protein expression in the index patient and heterozygous carriers does not associate with VLCFA concentration in plasma, which is in line with the absence of genotype-phenotype correlation in X-ALD.
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Affiliation(s)
- Katrin A Dohr
- Research Unit of Analytical Mass Spectrometry, Cell Biology and Biochemistry of Inborn Errors of Metabolism, Department of Paediatrics and Adolescent Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Silvija Tokic
- Research Unit of Analytical Mass Spectrometry, Cell Biology and Biochemistry of Inborn Errors of Metabolism, Department of Paediatrics and Adolescent Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Magdalena Gastager-Ehgartner
- Research Unit of Analytical Mass Spectrometry, Cell Biology and Biochemistry of Inborn Errors of Metabolism, Department of Paediatrics and Adolescent Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Tatjana Stojakovic
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, University Hospital Graz, 8036 Graz, Austria
| | - Miroslav Dumic
- Department of Paediatric Endocrinology and Diabetes, Clinical Hospital Centre Zagreb, 10000 Zagreb, Croatia
| | - Barbara Plecko
- Division of General Paediatrics, Department of Paediatrics and Adolescent Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Katja K Dumic
- Department of Paediatric Endocrinology and Diabetes, Clinical Hospital Centre Zagreb, 10000 Zagreb, Croatia
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124
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Ben Rhouma B, Kley M, Kallabi F, Kacem FH, Kammoun T, Safi W, Keskes L, Mnif M, Odermatt A, Belguith N. Molecular mechanisms underlying the defects of two novel mutations in the HSD17B3 gene found in the Tunisian population. J Steroid Biochem Mol Biol 2023; 227:106235. [PMID: 36563763 DOI: 10.1016/j.jsbmb.2022.106235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 12/18/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
17β-hydroxysteroid dehydrogenase type 3 (17β-HSD3) converts Δ4-androstene-3,17-dione (androstenedione) to testosterone. It is expressed almost exclusively in the testes and is essential for appropriate male sexual development. More than 70 mutations in the HSD17B3 gene that cause 17β-HSD3 deficiency and result in 46,XY Disorders of Sex Development (46,XY DSD) have been reported. This study describes three novel Tunisian cases with mutations in HSD17B3. The first patient is homozygous for the previously reported mutation p.C206X. The inheritance of this mutation seemed to be independent of consanguineous marriage, which can be explained by its high frequency in the Tunisian population. The second patient has a novel splice site mutation in intron 6 at position c.490 -6 T > C. A splicing assay revealed a complete omission of exon 7 in the resulting HSD17B3 mRNA transcript. Skipping of exon 7 in HSD17B3 is predicted to cause a frame shift in exon 8 that affects the catalytic site and results in a truncation in exon 9, leading to an inactive enzyme. The third patient is homozygous for the novel missense mutation p.K202M, representing the first mutation identified in the catalytic tetrad of 17β-HSD3. Site-directed mutagenesis and enzyme activity measurements revealed a completely abolished 17β-HSD3 activity of the p.K202M mutant, despite unaffected protein expression, compared to the wild-type enzyme. Furthermore, the present study emphasizes the importance of genetic counselling, detabooization of 46,XY DSD, and a sensitization of the Tunisian population for the risks of consanguineous marriage.
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Affiliation(s)
- Bochra Ben Rhouma
- Human Molecular Genetics Laboratory, Faculty of Medicine, 3029 Sfax, Tunisia; Higher Institute of Nursing, M. Ali Street, 4000 Gabes, Tunisia.
| | - Manuel Kley
- Division of Molecular and Systems Toxicology, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel, Switzerland; Swiss Centre for Applied Human Toxicology and Department of Pharmaceutical Sciences, University of Basel, Missionsstrasse 64, 4055 Basel, Switzerland.
| | - Fakhri Kallabi
- Human Molecular Genetics Laboratory, Faculty of Medicine, 3029 Sfax, Tunisia.
| | - Faten Hadj Kacem
- Department of Endocrinology, Hedi Chaker Hospital, 3029 Sfax, Tunisia.
| | - Thouraya Kammoun
- Department of Pediatrics, Hedi Chaker Hospital, 3029 Sfax, Tunisia.
| | - Wajdi Safi
- Department of Endocrinology, Hedi Chaker Hospital, 3029 Sfax, Tunisia.
| | - Leila Keskes
- Human Molecular Genetics Laboratory, Faculty of Medicine, 3029 Sfax, Tunisia.
| | - Mouna Mnif
- Department of Endocrinology, Hedi Chaker Hospital, 3029 Sfax, Tunisia.
| | - Alex Odermatt
- Division of Molecular and Systems Toxicology, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel, Switzerland; Swiss Centre for Applied Human Toxicology and Department of Pharmaceutical Sciences, University of Basel, Missionsstrasse 64, 4055 Basel, Switzerland.
| | - Neila Belguith
- Human Molecular Genetics Laboratory, Faculty of Medicine, 3029 Sfax, Tunisia; Department of Congenital and Hereditary Diseases, 1010 Charles Nicolles Hospital, Tunis, Tunisia.
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125
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Dawood M, Akay G, Mitani T, Marafi D, Fatih JM, Gezdirici A, Najmabadi H, Kahrizi K, Punetha J, Grochowski CM, Du H, Jolly A, Li H, Coban-Akdemir Z, Sedlazeck FJ, Hunter JV, Jhangiani SN, Muzny D, Pehlivan D, Posey JE, Carvalho CM, Gibbs RA, Lupski JR. A biallelic frameshift indel in PPP1R35 as a cause of primary microcephaly. Am J Med Genet A 2023; 191:794-804. [PMID: 36598158 PMCID: PMC9928800 DOI: 10.1002/ajmg.a.63080] [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: 06/21/2022] [Revised: 11/05/2022] [Accepted: 12/01/2022] [Indexed: 01/05/2023]
Abstract
Protein phosphatase 1 regulatory subunit 35 (PPP1R35) encodes a centrosomal protein required for recruiting microtubule-binding elongation machinery. Several proteins in this centriole biogenesis pathway correspond to established primary microcephaly (MCPH) genes, and multiple model organism studies hypothesize PPP1R35 as a candidate MCPH gene. Here, using exome sequencing (ES) and family-based rare variant analyses, we report a homozygous, frameshifting indel deleting the canonical stop codon in the last exon of PPP1R35 [Chr7: c.753_*3delGGAAGCGTAGACCinsCG (p.Trp251Cysfs*22)]; the variant allele maps in a 3.7 Mb block of absence of heterozygosity (AOH) in a proband with severe MCPH (-4.3 SD at birth, -6.1 SD by 42 months), pachygyria, and global developmental delay from a consanguineous Turkish kindred. Droplet digital PCR (ddPCR) confirmed mutant mRNA expression in fibroblasts. In silico prediction of the translation of mutant PPP1R35 is expected to be elongated by 18 amino acids before encountering a downstream stop codon. This complex indel allele is absent in public databases (ClinVar, gnomAD, ARIC, 1000 genomes) and our in-house database of 14,000+ exomes including 1800+ Turkish exomes supporting predicted pathogenicity. Comprehensive literature searches for PPP1R35 variants yielded two probands affected with severe microcephaly (-15 SD and -12 SD) with the same homozygous indel from a single, consanguineous, Iranian family from a cohort of 404 predominantly Iranian families. The lack of heterozygous cases in two large cohorts representative of the genetic background of these two families decreased our suspicion of a founder allele and supports the contention of a recurrent mutation. We propose two potential secondary structure mutagenesis models for the origin of this variant allele mediated by hairpin formation between complementary GC rich segments flanking the stop codon via secondary structure mutagenesis.
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Affiliation(s)
- Moez Dawood
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, 77030, USA
- Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Gulsen Akay
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Tadahiro Mitani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Dana Marafi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
- Department of Pediatrics, Faculty of Medicine, Kuwait University, P.O. Box 24923, 13110 Safat, Kuwait
| | - Jawid M. Fatih
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Alper Gezdirici
- Department of Medical Genetics, Basaksehir Cam and Sakura City Hospital, Istanbul 34480, Turkey
| | - Hossein Najmabadi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Kimia Kahrizi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Jaya Punetha
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | | | - Haowei Du
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Angad Jolly
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
- Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, 77030, USA
| | - He Li
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Zeynep Coban-Akdemir
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Fritz J. Sedlazeck
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Jill V. Hunter
- Department of Radiology, Baylor College of Medicine, Houston, Texas, 77030, USA
- E.B. Singleton Department of Pediatric Radiology, Texas Children’s Hospital, Houston, Texas, 77030, USA
- Section of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Shalini N. Jhangiani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Donna Muzny
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Davut Pehlivan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
- Section of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, 77030, USA
- Texas Children’s Hospital, Houston, Texas, 77030, USA
| | - Jennifer E. Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Claudia M.B. Carvalho
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
- Pacific Northwest Research Institute, Seattle, WA, 98122, USA
| | - Richard A. Gibbs
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - James R. Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, 77030, USA
- Texas Children’s Hospital, Houston, Texas, 77030, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, 77030
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126
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Georget M, Pisan E. [Next Generation Sequencing (NGS) for beginners]. Rev Mal Respir 2023; 40:345-358. [PMID: 36863993 DOI: 10.1016/j.rmr.2023.01.026] [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: 10/05/2022] [Accepted: 01/17/2023] [Indexed: 03/04/2023]
Abstract
Genetic diagnoses have progressed through the development of Next Generation Sequencing (NGS), which enables improved patient care and more precise genetic counseling. NGS techniques analyze DNA regions of interest in view accurately determining the relevant nucleotide sequence. Different kinds of analysis apply NGS : multigene panel testing, Whole Exome Sequencing (WES) and Whole Genome Sequencing (WGS). While regions of interest depend on the type of analysis (multigene panels testing studies the exons of genes implicated in a particular phenotype, WES studies all exons of all genes, and WGS studies all exons and introns), the technical protocol remains similar. Clinical/biological interpretation is based on a body of evidence allowing categorization of variants into five groups (from benign to pathogenic) in accordance with an international classification, which takes into account segregation criteria (variant detected in affected relatives, but absent in healthy relatives), matching phenotype, databases, scientific literature, prediction scores and data drawn from functional studies. Clinical/biological interaction and expertise are essential during this interpretative step. Pathogenic and probably pathogenic variants are returned to the clinician. Variants of unknown significance can likewise be returned, if they are liable to be reclassified through further analysis as pathogenic or benign. Variant classifications may change, as new data emerge suggesting or ruling out pathogenicity.
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Affiliation(s)
- M Georget
- Sorbonne université, département de génétique médicale, hôpital Pitié-Salpêtrière, AP-HP, Paris 75013, France.
| | - E Pisan
- Sorbonne université, département de génétique médicale, hôpital Pitié-Salpêtrière, AP-HP, Paris 75013, France.
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127
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Cannon S, Williams M, Gunning AC, Wright CF. Evaluation of in silico pathogenicity prediction tools for the classification of small in-frame indels. BMC Med Genomics 2023; 16:36. [PMID: 36855133 PMCID: PMC9972633 DOI: 10.1186/s12920-023-01454-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 02/09/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND The use of in silico pathogenicity predictions as evidence when interpreting genetic variants is widely accepted as part of standard variant classification guidelines. Although numerous algorithms have been developed and evaluated for classifying missense variants, in-frame insertions/deletions (indels) have been much less well studied. METHODS We created a dataset of 3964 small (< 100 bp) indels predicted to result in in-frame amino acid insertions or deletions using data from gnomAD v3.1 (minor allele frequency of 1-5%), ClinVar and the Deciphering Developmental Disorders (DDD) study. We used this dataset to evaluate the performance of nine pathogenicity predictor tools: CADD, CAPICE, FATHMM-indel, MutPred-Indel, MutationTaster2021, PROVEAN, SIFT-indel, VEST-indel and VVP. RESULTS Our dataset consisted of 2224 benign/likely benign and 1740 pathogenic/likely pathogenic variants from gnomAD (n = 809), ClinVar (n = 2882) and, DDD (n = 273). We were able to generate scores across all tools for 91% of the variants, with areas under the ROC curve (AUC) of 0.81-0.96 based on the published recommended thresholds. To avoid biases caused by inclusion of our dataset in the tools' training data, we also evaluated just DDD variants not present in either gnomAD or ClinVar (70 pathogenic and 81 benign). Using this subset, the AUC of all tools decreased substantially to 0.64-0.87. Several of the tools performed similarly however, VEST-indel had the highest AUCs of 0.93 (full dataset) and 0.87 (DDD subset). CONCLUSIONS Algorithms designed for predicting the pathogenicity of in-frame indels perform well enough to aid clinical variant classification in a similar manner to missense prediction tools.
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Affiliation(s)
- S Cannon
- Department of Clinical and Biomedical Sciences (Medical School), Faculty of Health and Life Sciences, University of Exeter, Research, Innovation, Learning and Development Building, Royal Devon and Exeter Hospital, Barrack Road, Exeter, EX2 5DW, UK
| | - M Williams
- Department of Clinical and Biomedical Sciences (Medical School), Faculty of Health and Life Sciences, University of Exeter, Research, Innovation, Learning and Development Building, Royal Devon and Exeter Hospital, Barrack Road, Exeter, EX2 5DW, UK
| | - A C Gunning
- Department of Clinical and Biomedical Sciences (Medical School), Faculty of Health and Life Sciences, University of Exeter, Research, Innovation, Learning and Development Building, Royal Devon and Exeter Hospital, Barrack Road, Exeter, EX2 5DW, UK
| | - C F Wright
- Department of Clinical and Biomedical Sciences (Medical School), Faculty of Health and Life Sciences, University of Exeter, Research, Innovation, Learning and Development Building, Royal Devon and Exeter Hospital, Barrack Road, Exeter, EX2 5DW, UK.
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128
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Geck RC, Powell NR, Dunham MJ. Functional interpretation, cataloging, and analysis of 1,341 glucose-6-phosphate dehydrogenase variants. Am J Hum Genet 2023; 110:228-239. [PMID: 36681081 PMCID: PMC9943724 DOI: 10.1016/j.ajhg.2023.01.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 01/03/2023] [Indexed: 01/22/2023] Open
Abstract
Glucose-6-phosphate dehydrogenase (G6PD) deficiency affects over 500 million individuals who can experience anemia in response to oxidative stressors such as certain foods and drugs. Recently, the World Health Organization (WHO) called for revisiting G6PD variant classification as a priority to implement genetic medicine in low- and middle-income countries. Toward this goal, we sought to collect reports of G6PD variants and provide interpretations. We identified 1,341 G6PD variants in population and clinical databases. Using the ACMG standards and guidelines for the interpretation of sequence variants, we provided interpretations for 268 variants, including 186 variants that were not reported or of uncertain significance in ClinVar, bringing the total number of variants with non-conflicting interpretations to 400. For 414 variants with functional or clinical data, we analyzed associations between activity, stability, and current classification systems, including the new 2022 WHO classification. We corroborated known challenges with classification systems, including phenotypic variation, emphasizing the importance of comparing variant effects across individuals and studies. Biobank data made available by All of Us illustrate the benefit of large-scale sequencing and phenotyping by adding additional support connecting variants to G6PD-deficient anemia. By leveraging available data and interpretation guidelines, we created a repository for information on G6PD variants and nearly doubled the number of variants with clinical interpretations. These tools enable better interpretation of G6PD variants for the implementation of genetic medicine.
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Affiliation(s)
- Renee C Geck
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Nicholas R Powell
- Division of Clinical Pharmacology, Department of Medicine, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
| | - Maitreya J Dunham
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
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129
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Majtan T, Kožich V, Kruger WD. Recent therapeutic approaches to cystathionine beta-synthase-deficient homocystinuria. Br J Pharmacol 2023; 180:264-278. [PMID: 36417581 PMCID: PMC9822868 DOI: 10.1111/bph.15991] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 11/09/2022] [Accepted: 11/14/2022] [Indexed: 11/27/2022] Open
Abstract
Cystathionine beta-synthase (CBS)-deficient homocystinuria (HCU) is the most common inborn error of sulfur amino acid metabolism. The pyridoxine non-responsive form of the disease manifests itself by massively increasing plasma and tissue concentrations of homocysteine, a toxic intermediate of methionine metabolism that is thought to be the major cause of clinical complications including skeletal deformities, connective tissue defects, thromboembolism and cognitive impairment. The current standard of care involves significant dietary interventions that, despite being effective, often adversely affect quality of life of HCU patients, leading to poor adherence to therapy and inadequate biochemical control with clinical complications. In recent years, the unmet need for better therapeutic options has resulted in development of novel enzyme and gene therapies and exploration of pharmacological approaches to rescue CBS folding defects caused by missense pathogenic mutations. Here, we review scientific evidence and current state of affairs in development of recent approaches to treat HCU.
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Affiliation(s)
- Tomas Majtan
- Department of Pharmacology, University of Fribourg, Faculty of Science and Medicine, Fribourg, 1700, Switzerland
| | - Viktor Kožich
- Department of Pediatrics and Inherited Metabolic Disorders, Charles University-First Faculty of Medicine, Prague, 12808, Czech Republic
- Department of Pediatrics and Inherited Metabolic Disorders, General University Hospital in Prague, Prague, 12808, Czech Republic
| | - Warren D. Kruger
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA
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130
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Richardson C, Kelsh RN, J. Richardson R. New advances in CRISPR/Cas-mediated precise gene-editing techniques. Dis Model Mech 2023; 16:dmm049874. [PMID: 36847161 PMCID: PMC10003097 DOI: 10.1242/dmm.049874] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023] Open
Abstract
Over the past decade, CRISPR/Cas-based gene editing has become a powerful tool for generating mutations in a variety of model organisms, from Escherichia coli to zebrafish, rodents and large mammals. CRISPR/Cas-based gene editing effectively generates insertions or deletions (indels), which allow for rapid gene disruption. However, a large proportion of human genetic diseases are caused by single-base-pair substitutions, which result in more subtle alterations to protein function, and which require more complex and precise editing to recreate in model systems. Precise genome editing (PGE) methods, however, typically have efficiencies of less than a tenth of those that generate less-specific indels, and so there has been a great deal of effort to improve PGE efficiency. Such optimisations include optimal guide RNA and mutation-bearing donor DNA template design, modulation of DNA repair pathways that underpin how edits result from Cas-induced cuts, and the development of Cas9 fusion proteins that introduce edits via alternative mechanisms. In this Review, we provide an overview of the recent progress in optimising PGE methods and their potential for generating models of human genetic disease.
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Affiliation(s)
- Chris Richardson
- School of Physiology, Pharmacology and Neuroscience, Faculty of Biomedical Sciences, University of Bristol, Bristol BS8 1TD, UK
| | - Robert N. Kelsh
- Department of Life Sciences, University of Bath, Bath BA2 7AY, UK
| | - Rebecca J. Richardson
- School of Physiology, Pharmacology and Neuroscience, Faculty of Biomedical Sciences, University of Bristol, Bristol BS8 1TD, UK
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Sieliwonczyk E, Vandendriessche B, Claes C, Mayeur E, Alaerts M, Holmgren P, Canter Cremers T, Snyders D, Loeys B, Schepers D. Improved selection of zebrafish CRISPR editing by early next-generation sequencing based genotyping. Sci Rep 2023; 13:1491. [PMID: 36707549 PMCID: PMC9883431 DOI: 10.1038/s41598-023-27503-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 01/03/2023] [Indexed: 01/28/2023] Open
Abstract
Despite numerous prior attempts to improve knock-in (KI) efficiency, the introduction of precise base pair substitutions by the CRISPR-Cas9 technique in zebrafish remains challenging. In our efforts to generate KI zebrafish models of human CACNA1C mutations, we have tested the effect of several CRISPR determinants on KI efficiency across two sites in a single gene and developed a novel method for early selection to ameliorate KI efficiency. We identified optimal KI conditions for Cas9 protein and non-target asymmetric PAM-distal single stranded deoxynucleotide repair templates at both cacna1c sites. An effect of distance to the cut site on the KI efficiency was only observed for a single repair template conformation at one of the two sites. By combining minimally invasive early genotyping with the zebrafish embryo genotyper (ZEG) device and next-generation sequencing, we were able to obtain an almost 17-fold increase in somatic editing efficiency. The added benefit of the early selection procedure was particularly evident for alleles with lower somatic editing efficiencies. We further explored the potential of the ZEG selection procedure for the improvement of germline transmission by demonstrating germline transmission events in three groups of pre-selected embryos.
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Affiliation(s)
- Ewa Sieliwonczyk
- Faculty of Medicine and Health Sciences, Center for Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium.
| | - Bert Vandendriessche
- Faculty of Medicine and Health Sciences, Center for Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - Charlotte Claes
- Faculty of Medicine and Health Sciences, Center for Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - Evy Mayeur
- Experimental Neurobiology Unit, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Maaike Alaerts
- Faculty of Medicine and Health Sciences, Center for Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - Philip Holmgren
- Faculty of Medicine and Health Sciences, Center for Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - Tycho Canter Cremers
- Faculty of Medicine and Health Sciences, Center for Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - Dirk Snyders
- Experimental Neurobiology Unit, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Bart Loeys
- Faculty of Medicine and Health Sciences, Center for Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium.,Department of Clinical Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Dorien Schepers
- Faculty of Medicine and Health Sciences, Center for Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium.,Experimental Neurobiology Unit, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
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Li Z, Gao E, Zhou J, Han W, Xu X, Gao X. Applications of deep learning in understanding gene regulation. CELL REPORTS METHODS 2023; 3:100384. [PMID: 36814848 PMCID: PMC9939384 DOI: 10.1016/j.crmeth.2022.100384] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Gene regulation is a central topic in cell biology. Advances in omics technologies and the accumulation of omics data have provided better opportunities for gene regulation studies than ever before. For this reason deep learning, as a data-driven predictive modeling approach, has been successfully applied to this field during the past decade. In this article, we aim to give a brief yet comprehensive overview of representative deep-learning methods for gene regulation. Specifically, we discuss and compare the design principles and datasets used by each method, creating a reference for researchers who wish to replicate or improve existing methods. We also discuss the common problems of existing approaches and prospectively introduce the emerging deep-learning paradigms that will potentially alleviate them. We hope that this article will provide a rich and up-to-date resource and shed light on future research directions in this area.
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Affiliation(s)
- Zhongxiao Li
- Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
- KAUST Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
| | - Elva Gao
- The KAUST School, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
| | - Juexiao Zhou
- Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
- KAUST Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
| | - Wenkai Han
- Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
- KAUST Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
| | - Xiaopeng Xu
- Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
- KAUST Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
| | - Xin Gao
- Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
- KAUST Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
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Protasova MS, Andreeva TV, Klyushnikov SA, Illarioshkin SN, Rogaev EI. Genetic Variant in GRM1 Underlies Congenital Cerebellar Ataxia with No Obvious Intellectual Disability. Int J Mol Sci 2023; 24:ijms24021551. [PMID: 36675067 PMCID: PMC9865416 DOI: 10.3390/ijms24021551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/29/2022] [Accepted: 01/03/2023] [Indexed: 01/15/2023] Open
Abstract
Metabotropic glutamate receptor 1 (mGluR1) plays a crucial role in slow excitatory postsynaptic conductance, synapse formation, synaptic plasticity, and motor control. The GRM1 gene is expressed mainly in the brain, with the highest expression in the cerebellum. Mutations in the GRM1 gene have previously been known to cause autosomal recessive and autosomal dominant spinocerebellar ataxias. In this study, whole-exome sequencing of a patient from a family of Azerbaijani origin with a diagnosis of congenital cerebellar ataxia was performed, and a new homozygous missense mutation in the GRM1 gene was identified. The mutation leads to the homozygous amino acid substitution of p.Thr824Arg in an evolutionarily highly conserved region encoding the transmembrane domain 7, which is critical for ligand binding and modulating of receptor activity. This is the first report in which a mutation has been identified in the last transmembrane domain of the mGluR1, causing a congenital autosomal recessive form of cerebellar ataxia with no obvious intellectual disability. Additionally, we summarized all known presumable pathogenic genetic variants in the GRM1 gene to date. We demonstrated that multiple rare variants in the GRM1 underlie a broad diversity of clinical neurological and behavioral phenotypes depending on the nature and protein topology of the mutation.
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Affiliation(s)
- Maria S. Protasova
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991 Moscow, Russia
| | - Tatiana V. Andreeva
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991 Moscow, Russia
- Center for Genetics and Life Science, Department of Genetics, Sirius University of Science and Technology, 354340 Sochi, Russia
- Centre for Genetics and Genetic Technologies, Department of Genetics, Faculty of Biology, Lomonosov Moscow State University, 119192 Moscow, Russia
- Correspondence: (T.V.A.); (E.I.R.)
| | | | | | - Evgeny I. Rogaev
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991 Moscow, Russia
- Center for Genetics and Life Science, Department of Genetics, Sirius University of Science and Technology, 354340 Sochi, Russia
- Department of Psychiatry, UMass Chan Medical School, Shrewsbury, MA 01545, USA
- Correspondence: (T.V.A.); (E.I.R.)
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Aledo P, Aledo JC. Proteome-Wide Structural Computations Provide Insights into Empirical Amino Acid Substitution Matrices. Int J Mol Sci 2023; 24:ijms24010796. [PMID: 36614247 PMCID: PMC9821064 DOI: 10.3390/ijms24010796] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/24/2022] [Accepted: 12/29/2022] [Indexed: 01/04/2023] Open
Abstract
The relative contribution of mutation and selection to the amino acid substitution rates observed in empirical matrices is unclear. Herein, we present a neutral continuous fitness-stability model, inspired by the Arrhenius law (qij=aije-ΔΔGij). The model postulates that the rate of amino acid substitution (i→j) is determined by the product of a pre-exponential factor, which is influenced by the genetic code structure, and an exponential term reflecting the relative fitness of the amino acid substitutions. To assess the validity of our model, we computed changes in stability of 14,094 proteins, for which 137,073,638 in silico mutants were analyzed. These site-specific data were summarized into a 20 square matrix, whose entries, ΔΔGij, were obtained after averaging through all the sites in all the proteins. We found a significant positive correlation between these energy values and the disease-causing potential of each substitution, suggesting that the exponential term accurately summarizes the fitness effect. A remarkable observation was that amino acids that were highly destabilizing when acting as the source, tended to have little effect when acting as the destination, and vice versa (source → destination). The Arrhenius model accurately reproduced the pattern of substitution rates collected in the empirical matrices, suggesting a relevant role for the genetic code structure and a tuning role for purifying selection exerted via protein stability.
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135
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Öz Tunçer G, Sanri A, Aydin S, Hergüner ÖM, Özgün N, Kömür M, İçağasioğlu DF, Toker RT, Yilmaz S, Arslan EA, Güngör M, Kutluk G, Erol İ, Mert GG, Polat BG, Aksoy A. Clinical and Genetic Spectrum of Myotonia Congenita in Turkish Children. J Neuromuscul Dis 2023; 10:915-924. [PMID: 37355912 PMCID: PMC10578252 DOI: 10.3233/jnd-230046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/02/2023] [Indexed: 06/26/2023]
Abstract
BACKGROUND Myotonia congenita is the most common form of nondystrophic myotonia and is caused by Mendelian inherited mutations in the CLCN1 gene encoding the voltage-gated chloride channel of skeletal muscle. OBJECTIVE The study aimed to describe the clinical and genetic spectrum of Myotonia congenita in a large pediatric cohort. METHODS Demographic, genetic, and clinical data of the patients aged under 18 years at time of first clinical attendance from 11 centers in different geographical regions of Türkiye were retrospectively investigated. RESULTS Fifty-four patients (mean age:15.2 years (±5.5), 76% males, with 85% Becker, 15% Thomsen form) from 40 families were included. Consanguineous marriage rate was 67%. 70.5% of patients had a family member with Myotonia congenita. The mean age of disease onset was 5.7 (±4.9) years. Overall 23 different mutations (2/23 were novel) were detected in 52 patients, and large exon deletions were identified in two siblings. Thomsen and Becker forms were observed concomitantly in one family. Carbamazepine (46.3%), mexiletine (27.8%), phenytoin (9.3%) were preferred for treatment. CONCLUSIONS The clinical and genetic heterogeneity, as well as the limited response to current treatment options, constitutes an ongoing challenge. In our cohort, recessive Myotonia congenita was more frequent and novel mutations will contribute to the literature.
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Affiliation(s)
- Gökçen Öz Tunçer
- Division of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Ondokuz Mayıs University, Samsun, Türkiye
| | - Aslıhan Sanri
- Department of Pediatric Genetics, University of Health Sciences, Samsun Training and Research Hospital, Samsun, Türkiye
| | - Seren Aydin
- Division of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Ondokuz Mayıs University, Samsun, Türkiye
| | - Özlem M. Hergüner
- Division of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Çukurova University, Adana, Türkiye
| | - Nezir Özgün
- Division of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Artuklu University, Mardin, Türkiye
| | - Mustafa Kömür
- Division of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Mersin University, Mersin, Türkiye
| | - Dilara F. İçağasioğlu
- Division of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Bezmialem Vakıf University, İstanbul, Türkiye
| | - Rabia Tütüncü Toker
- Department of Pediatric Neurology, University of Health Sciences, Bursa City Hospital, Bursa, Türkiye
| | - Sanem Yilmaz
- Division of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Ege University, İzmir, Türkiye
| | - Elif Acar Arslan
- Division of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Karadeniz Technical University, Trabzon, Türkiye
| | - Mesut Güngör
- Division of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Kocaeli University, Kocaeli, Türkiye
| | - Gültekin Kutluk
- Department of Pediatric Neurolgy, University of Health Sciences, Antalya Training and Research Hospital, Antalya, Türkiye
| | - İlknur Erol
- Division of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Başkent University, Adana, Türkiye
| | - Gülen Gül Mert
- Division of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Çukurova University, Adana, Türkiye
| | - Burçin Gönüllü Polat
- Division of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Mersin University, Mersin, Türkiye
| | - Ayşe Aksoy
- Division of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Ondokuz Mayıs University, Samsun, Türkiye
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Klaewkla M, Prousoontorn J, Charoenwongpaiboon T. A theoretical study on binding and stabilization of galactose and novel galactose analogues to the human α-galactosidase A variant causing Fabry disease. Biophys Chem 2023; 292:106915. [PMID: 36334502 DOI: 10.1016/j.bpc.2022.106915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 10/15/2022] [Accepted: 10/23/2022] [Indexed: 12/14/2022]
Abstract
α-galactosidase A (α-Gal A) catalyzes the hydrolysis of terminal α-galactosyl moieties from globotriaosylceramide, and mutations in this enzyme lead to the lipid metabolism disorder "Fabry disease". Mutation in α-Gal A possibly causes the protein misfolding, which reduces catalytic activity and stability of the enzyme. A recent study demonstrated that the binding of galactose on the α-Gal A catalytic site significantly increases its stability. Herein, the effect of mutation on secondary structure, structural energy, and galactose affinity of α-Gal A (wild type and A143T variant) was investigated using molecular dynamics simulations and free energy calculations based on MM/GBSA method. The results showed that A143T mutation caused the formation of unusual H-bonds that induced the change in secondary structure and binding affinities toward galactose. The amino acid residues involved in galactose binding were identified. The molecular binding mechanism obtained from this study could be helpful for optimizations and designs of new galactose analogs as pharmacological chaperones against Fabry disease.
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Trofimiuk-Müldner M, Domagała B, Sokołowski G, Skalniak A, Hubalewska-Dydejczyk A. AIP gene germline variants in adult Polish patients with apparently sporadic pituitary macroadenomas. Front Endocrinol (Lausanne) 2023; 14:1098367. [PMID: 36843582 PMCID: PMC9950257 DOI: 10.3389/fendo.2023.1098367] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/23/2023] [Indexed: 02/12/2023] Open
Abstract
INTRODUCTION Up to 5% of all pituitary tumors are hereditary e.g. due to MEN1 or aryl hydrocarbon receptor-interacting protein (AIP) genes mutations. OBJECTIVES The study was aimed at the assessment of the frequency and characteristics of AIP-mutation related tumors in patients with apparently sporadic pituitary macroadenomas in the Polish population. MATERIALS AND METHODS The study included 131 patients (57 males, 74 females; median age 42 years) diagnosed with pituitary macroadenomas, and with a negative family history of familial isolated pituitary adenoma (FIPA) or multiple endocrine neoplasia type 1 (MEN1) syndromes. Sanger sequencing was used for the assessment of AIP gene variants. The study was approved by the Ethics Board of JUMC. RESULTS AIP variants were identified in five of the 131 included subjects (3.8%): one diagnosed with Cushing's disease, two with acromegaly, and two with non-secreting adenomas. Patients harboring hereditary AIP gene alterations did not differ from the rest of the study group in median age at diagnosis (41.0 vs. 42.5 years, P=0.8), median largest tumor diameter (25 vs. 24 mm, P=0.6), gender distribution (60.0% vs. 56.3% females, P=0.8), secreting tumor frequency (60.0% vs. 67.5%, P=0.7), or acromegaly diagnosis frequency (40.0% vs.37.3%, P=0.9). CONCLUSIONS In our series of apparently sporadic pituitary macroadenomas, AIP gene variant carriers did not differ substantially from patients with negative genetic testing. A risk factor-centred approach to AIP genetic screening may result in missing germline variants. Considering the clinical impact of such genetic variants and their relatively low penetrance, it is, however, doubtful if general genetic screening benefits the whole cohort of pituitary macroadenoma patients and their families.
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Affiliation(s)
- Małgorzata Trofimiuk-Müldner
- Chair and Department of Endocrinology, Jagiellonian University Medical College, Kraków, Poland
- *Correspondence: Małgorzata Trofimiuk-Müldner,
| | - Bartosz Domagała
- Department of Endocrinology, Endocrine Oncology and Nuclear Medicine, University Hospital in Kraków, Kraków, Poland
| | - Grzegorz Sokołowski
- Chair and Department of Endocrinology, Jagiellonian University Medical College, Kraków, Poland
| | - Anna Skalniak
- Chair and Department of Endocrinology, Jagiellonian University Medical College, Kraków, Poland
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Data-driven historical characterization of epilepsy-associated genes. Eur J Paediatr Neurol 2023; 42:82-87. [PMID: 36586220 DOI: 10.1016/j.ejpn.2022.12.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 10/11/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
Many epilepsy-associated genes have been identified over the last three decades, revealing a remarkable molecular heterogeneity with the shared outcome of recurrent seizures. Information about the genetic landscape of epilepsies is scattered throughout the literature and answering the simple question of how many genes are associated with epilepsy is not straightforward. Here, we present a computationally driven analytical review of epilepsy-associated genes using the complete scientific literature in PubMed. Based on our search criteria, we identified a total of 738 epilepsy-associated genes. We further classified these genes into two Tiers. A broad gene list of 738 epilepsy-associated genes (Tier 2) and a narrow gene list composed of 143 epilepsy-associated genes (Tier 1). Our search criteria do not reflect the degree of association. The average yearly number of identified epilepsy-associated genes between 1992 and 2021 was 4.8. However, most of these genes were only identified in the last decade (2010-2019). Ion channels represent the largest class of epilepsy-associated genes. For many of these, both gain- and loss-of-function effects have been associated with epilepsy in recent years. We identify 28 genes frequently reported with heterogenous variant effects which should be considered for variant interpretation. Overall, our study provides an updated and manually curated list of epilepsy-related genes together with additional annotations and classifications reflecting the current genetic landscape of epilepsy.
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Alimohamed MZ, Boven LG, van Dijk KK, Vos YJ, Hoedemaekers YM, van der Zwaag PA, Sijmons RH, Jongbloed JD, Sikkema-Raddatz B, Westers H. SEPT–GD: A decision tree to prioritise potential RNA splice variants in cardiomyopathy genes for functional splicing assays in diagnostics. Gene 2023; 851:146984. [DOI: 10.1016/j.gene.2022.146984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 08/09/2022] [Accepted: 10/13/2022] [Indexed: 11/06/2022]
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140
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Wen XL, Wang YZ, Zhang XL, Tu JQ, Zhang ZJ, Liu XX, Lu HY, Hao GP, Wang XH, Yang LH, Zhang RJ. Compound heterozygous p.L483P and p.S310G mutations in GBA1 cause type 1 adult Gaucher disease: A case report. World J Clin Cases 2022; 10:13426-13434. [PMID: 36683633 PMCID: PMC9851016 DOI: 10.12998/wjcc.v10.i36.13426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 10/20/2022] [Accepted: 11/30/2022] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Gaucher disease (GD) is caused by a GBA1 gene mutation that leads to decreased acid β-glucosidase activity [glucocerebrosidase (GCase)]. This study aimed to identify and characterise compound heterozygous mutations in GBA1 in a patient with type 1 GD.
CASE SUMMARY Here, we report a rare adult-onset type 1 GD in a 46-year-old female patient with clinical manifestations of giant spleen, thrombocytopenia, and bone pain, diagnosed by enzymatic and genetic testing. Enzymology and whole exome sequencing revealed heterozygous missense mutations in exon 10 c.1448T>C (p.L483P) and exon 7 c.928A>G (p.S310G) of GBA1. The latter was first reported in patients with GD. Structural modelling showed that p.S310G and p.L483P were distant from the GCase active site. The p.S310G mutation in domain 1 may decrease stability between the α2 and α3 helices of GBA1. The p.L483P mutation in domain 2 reduced the van der Waals force of the side chain and disrupted the C-terminal β-sheet. The patient was treated with imiglucerase replacement therapy, and her condition was stable.
CONCLUSION The p.L483P/p.S310G novel compound heterozygous mutation underlies type 1 GD and likely affects GCase protein function. This is the first description of p.S310G being associated with mild type 1 GD in the context of a coinherited p.L483P mutation.
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Affiliation(s)
- Xiao-Ling Wen
- Department of Hematology, The First People’s Hospital of Yibin, Yibin 644000, Sichuan Province, China
- Department of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - Yao-Zi Wang
- Department of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - Xia-Lin Zhang
- Department of Hematology, The Third Hospital of Shanxi Medical University, The Shanxi Bethune Hospital, The Shanxi Academy of Medical Sciences, The Tongji Shanxi Hospital, The Shanxi Medical University, Taiyuan 030032, Shanxi Province, China
| | - Jia-Qiang Tu
- Department of Hematology, The First People’s Hospital of Yibin, Yibin 644000, Sichuan Province, China
| | - Zhi-Juan Zhang
- Department of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - Xia-Xia Liu
- Department of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - Hai-Yan Lu
- Department of Hematology, The Children’s Hospital of Shanxi, Taiyuan 030006, Shanxi Province, China
| | - Guo-Ping Hao
- Department of Hematology, The Children’s Hospital of Shanxi, Taiyuan 030006, Shanxi Province, China
| | - Xiao-Huan Wang
- Department of Hematology, The Children’s Hospital of Shanxi, Taiyuan 030006, Shanxi Province, China
| | - Lin-Hua Yang
- Department of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - Rui-Juan Zhang
- Department of Hematology, The Third Hospital of Shanxi Medical University, The Shanxi Bethune Hospital, The Shanxi Academy of Medical Sciences, The Tongji Shanxi Hospital, The Shanxi Medical University, Taiyuan 030032, Shanxi Province, China
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Halfmeyer I, Bartolomaeus T, Popp B, Radtke M, Helms T, Hentschel J, Popp D, Jamra RA. Approach to Cohort-Wide Re-Analysis of Exome Data in 1000 Individuals with Neurodevelopmental Disorders. Genes (Basel) 2022; 14:genes14010030. [PMID: 36672771 PMCID: PMC9858523 DOI: 10.3390/genes14010030] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/02/2022] [Accepted: 12/19/2022] [Indexed: 12/25/2022] Open
Abstract
The re-analysis of nondiagnostic exome sequencing (ES) has the potential to increase diagnostic yields in individuals with rare diseases, but its implementation in the daily routines of laboratories is limited due to restricted capacities. Here, we describe a systematic approach to re-analyse the ES data of a cohort consisting of 1040 diagnostic and nondiagnostic samples. We applied a strict filter cascade to reveal the most promising single-nucleotide variants (SNVs) of the whole cohort, which led to an average of 0.77 variants per individual that had to be manually evaluated. This variant set revealed seven novel diagnoses (0.8% of all nondiagnostic cases) and two secondary findings. Thirteen additional variants were identified by a scientific approach prior to this re-analysis and were also present in this variant set. This resulted in a total increase in the diagnostic yield of 2.3%. The filter cascade was optimised during the course of the study and finally resulted in sensitivity of 85%. After applying the filter cascade, our re-analysis took 20 h and enabled a workflow that can be used repeatedly. This work is intended to provide a practical recommendation for other laboratories wishing to introduce a resource-efficient re-analysis strategy into their clinical routine.
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Affiliation(s)
- Insa Halfmeyer
- Institute of Human Genetics, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Tobias Bartolomaeus
- Institute of Human Genetics, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Bernt Popp
- Institute of Human Genetics, University of Leipzig Medical Center, 04103 Leipzig, Germany
- Center of Functional Genomics, Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Hessische Straße 4A, 10115 Berlin, Germany
| | - Maximilian Radtke
- Institute of Human Genetics, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Tobias Helms
- Limbus Medical Technologies GmbH, Neuer Markt 9/10, 18055 Rostock, Germany
| | - Julia Hentschel
- Institute of Human Genetics, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Denny Popp
- Institute of Human Genetics, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Rami Abou Jamra
- Institute of Human Genetics, University of Leipzig Medical Center, 04103 Leipzig, Germany
- Correspondence:
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142
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Al Anazi AH, Ammar AS, Al-Hajj M, Cyrus C, Aljaafari D, Khoda I, Abdelfatah AK, Alsulaiman AA, Alanazi F, Alanazi R, Gandla D, Lad H, Barayan S, Keating BJ, Al-Ali AK. Whole-exome sequencing of a Saudi epilepsy cohort reveals association signals in known and potentially novel loci. Hum Genomics 2022; 16:71. [PMID: 36539902 PMCID: PMC9764464 DOI: 10.1186/s40246-022-00444-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Epilepsy, a serious chronic neurological condition effecting up to 100 million people globally, has clear genetic underpinnings including common and rare variants. In Saudi Arabia, the prevalence of epilepsy is high and caused mainly by perinatal and genetic factors. No whole-exome sequencing (WES) studies have been performed to date in Saudi Arabian epilepsy cohorts. This offers a unique opportunity for the discovery of rare genetic variants impacting this disease as there is a high rate of consanguinity among large tribal pedigrees. RESULTS We performed WES on 144 individuals diagnosed with epilepsy, to interrogate known epilepsy-related genes for known and functional novel variants. We also used an American College of Medical Genetics (ACMG) guideline-based variant prioritization approach in an attempt to discover putative causative variants. We identified 32 potentially causative pathogenic variants across 30 different genes in 44/144 (30%) of these Saudi epilepsy individuals. We also identified 232 variants of unknown significance (VUS) across 101 different genes in 133/144 (92%) subjects. Strong enrichment of variants of likely pathogenicity was observed in previously described epilepsy-associated loci, and a number of putative pathogenic variants in novel loci are also observed. CONCLUSION Several putative pathogenic variants in known epilepsy-related loci were identified for the first time in our population, in addition to several potential new loci which may be prioritized for further investigation.
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Affiliation(s)
- Abdulrahman H. Al Anazi
- grid.411975.f0000 0004 0607 035XDepartment of Neurosurgery, King Fahd Hospital of the University, Alkhobar, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Ahmed S. Ammar
- grid.411975.f0000 0004 0607 035XDepartment of Neurosurgery, King Fahd Hospital of the University, Alkhobar, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Mahmoud Al-Hajj
- grid.415296.d0000 0004 0607 1539Department of Neurosurgery, King Fahd Hospital, Alhafof, Saudi Arabia
| | - Cyril Cyrus
- grid.411975.f0000 0004 0607 035XDepartment of Clinical Biochemistry, College of Medicine, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, 31441 Dammam, Saudi Arabia
| | - Danah Aljaafari
- grid.411975.f0000 0004 0607 035XDepartment of Neurology, King Fahd Hospital of the University, Alkhobar, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Iname Khoda
- grid.411975.f0000 0004 0607 035XDepartment of Neurology, King Fahd Hospital of the University, Alkhobar, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Ahmed K. Abdelfatah
- grid.411975.f0000 0004 0607 035XDepartment of Neurosurgery, King Fahd Hospital of the University, Alkhobar, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Abdullah A. Alsulaiman
- grid.411975.f0000 0004 0607 035XDepartment of Neurology, King Fahd Hospital of the University, Alkhobar, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Firas Alanazi
- grid.411975.f0000 0004 0607 035XDepartment of Neurosurgery, King Fahd Hospital of the University, Alkhobar, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Rawan Alanazi
- grid.411975.f0000 0004 0607 035XDepartment of Neurosurgery, King Fahd Hospital of the University, Alkhobar, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Divya Gandla
- grid.25879.310000 0004 1936 8972Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA USA
| | - Hetal Lad
- grid.25879.310000 0004 1936 8972Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA USA
| | - Samar Barayan
- grid.411975.f0000 0004 0607 035XDepartment of Neurosurgery, King Fahd Hospital of the University, Alkhobar, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Brendan J. Keating
- grid.25879.310000 0004 1936 8972Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA USA
| | - Amein K. Al-Ali
- grid.411975.f0000 0004 0607 035XDepartment of Clinical Biochemistry, College of Medicine, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, 31441 Dammam, Saudi Arabia
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143
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Tarozzi M, Baiardi S, Sala C, Bartoletti-Stella A, Parchi P, Capellari S, Castellani G. Genomic, transcriptomic and RNA editing analysis of human MM1 and VV2 sporadic Creutzfeldt-Jakob disease. Acta Neuropathol Commun 2022; 10:181. [PMID: 36517866 PMCID: PMC9749175 DOI: 10.1186/s40478-022-01483-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 11/20/2022] [Indexed: 12/15/2022] Open
Abstract
Creutzfeldt-Jakob disease (CJD) is characterized by a broad phenotypic spectrum regarding symptoms, progression, and molecular features. Current sporadic CJD (sCJD) classification recognizes six main clinical-pathological phenotypes. This work investigates the molecular basis of the phenotypic heterogeneity of prion diseases through a multi-omics analysis of the two most common sCJD subtypes: MM1 and VV2. We performed DNA target sequencing on 118 genes on a cohort of 48 CJD patients and full exome RNA sequencing on post-mortem frontal cortex tissue on a subset of this cohort. DNA target sequencing identified multiple potential genetic contributors to the disease onset and phenotype, both in terms of coding, damaging-predicted variants, and enriched groups of SNPs in the whole cohort and the two subtypes. The results highlight a different functional impairment, with VV2 associated with higher impairment of the pathways related to dopamine secretion, regulation of calcium release and GABA signaling, showing some similarities with Parkinson's disease both on a genomic and a transcriptomic level. MM1 showed a gene expression profile with several traits shared with different neurodegenerative, without an apparent distinctive characteristic or similarities with a specific disease. In addition, integrating genomic and transcriptomic data led to the discovery of several sites of ADAR-mediated RNA editing events, confirming and expanding previous findings in animal models. On the transcriptomic level, this work represents the first application of RNA sequencing on CJD human brain samples. Here, a good clusterization of the transcriptomic profiles of the two subtypes was achieved, together with the finding of several differently impaired pathways between the two subtypes. The results add to the understanding of the molecular features associated with sporadic CJD and its most common subtypes, revealing strain-specific genetic signatures and functional similarities between VV2 and Parkinson's disease and providing preliminary evidence of RNA editing modifications in human sCJD.
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Affiliation(s)
- Martina Tarozzi
- grid.6292.f0000 0004 1757 1758Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40139 Bologna, Italy
| | - Simone Baiardi
- grid.6292.f0000 0004 1757 1758Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40139 Bologna, Italy ,grid.492077.fProgramma di Neuropatologia delle Malattie, Neurodegenerative, IRCCS Istituto delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy
| | - Claudia Sala
- grid.6292.f0000 0004 1757 1758Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40139 Bologna, Italy
| | - Anna Bartoletti-Stella
- grid.6292.f0000 0004 1757 1758Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40139 Bologna, Italy
| | - Piero Parchi
- grid.492077.fProgramma di Neuropatologia delle Malattie, Neurodegenerative, IRCCS Istituto delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy ,grid.6292.f0000 0004 1757 1758Department of Biomedical and Neuromotor Sciences, University of Bologna, 40139 Bologna, Italy
| | - Sabina Capellari
- grid.492077.fProgramma di Neuropatologia delle Malattie, Neurodegenerative, IRCCS Istituto delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy ,grid.6292.f0000 0004 1757 1758Department of Biomedical and Neuromotor Sciences, University of Bologna, 40139 Bologna, Italy
| | - Gastone Castellani
- grid.6292.f0000 0004 1757 1758Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40139 Bologna, Italy
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144
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Soudyab M, Shariati M, Esfehani RJ, Shalaei N, Vafadar S, Nouri V, Zech M, Winkelmann J, Shoeibi A, Sadr-Nabavi A. Whole-Exome Sequencing Study of Consanguineous Parkinson's Disease Families and Related Phenotypes: Report of Twelve Novel Variants. J Mol Neurosci 2022; 72:2486-2496. [PMID: 36520381 DOI: 10.1007/s12031-022-02085-9] [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: 08/23/2022] [Accepted: 11/15/2022] [Indexed: 12/23/2022]
Abstract
Parkinson's disease (PD) is a common progressive neurodegenerative disorder with motor and nonmotor symptoms. Recent studies demonstrate various susceptibility loci and candidate genes for familial forms of the disease. However, the genetic basis of the familial form of early-onset PD (EOPD) is not widely studied in the Iranian population. Therefore, the present study aimed to investigate the possible causative genetic variants responsible for developing EOPD among Iranian patients. Iranian patients with a clinical diagnosis of Parkinson's disease were evaluated, and 12 consanguineous families with at least two affected individuals with early-onset PD (EOPD) were chosen to enroll in the present study. An expert neurologist group examined these families. Whole-exome sequencing (WES) was performed on PD patients, and the possible causative genetic variants related to the development of PD were reported. Exome sequencing (WES) was performed on every PD patient and revealed that patients had novel genetic variants in PRKN, PARK7, and PINK1 genes. All the genetic variants were in homozygous status and none of these variants were previously reported in the literature. Moreover, these genetic variants were "pathogenic" based on bioinformatic studies and according to the American College of Medical Genetics (ACMG). The present research revealed some novel variants for EOPD among the Iranian population. Further functional studies are warranted to confirm the pathogenicity of these novel variants and establish their clinical application for the early diagnosis of EOPD.
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Affiliation(s)
- Mohammad Soudyab
- Department of Medical Genetics and Molecular Medicine, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.,Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohammad Shariati
- Department of Neurology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.,Academic Center for Education, Culture, and Research (ACECR)-Khorasan Razavi, Mashhad, Iran
| | | | - Neda Shalaei
- Department of Neurology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Shabnam Vafadar
- Department of Neurology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Vahid Nouri
- Academic Center for Education, Culture, and Research (ACECR)-Khorasan Razavi, Mashhad, Iran
| | - Michael Zech
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany.,Institut Für Humangenetik, Technische Universität München, Munich, Germany
| | - Julianne Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany.,Institut Für Humangenetik, Technische Universität München, Munich, Germany.,Lehrstuhl Für Neurogenetik, Technische Universität München, Munich, Germany.,Munich Cluster for Systems Neurology, SyNergy, Munich, Germany
| | - Ali Shoeibi
- Department of Neurology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Ariane Sadr-Nabavi
- Department of Medical Genetics and Molecular Medicine, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. .,Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. .,Department of Neurology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. .,Academic Center for Education, Culture, and Research (ACECR)-Khorasan Razavi, Mashhad, Iran. .,Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany. .,Institut Für Humangenetik, Technische Universität München, Munich, Germany.
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145
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Pitfalls of whole exome sequencing in undefined clinical conditions with a suspected genetic etiology. Genes Genomics 2022; 45:637-655. [PMID: 36454368 DOI: 10.1007/s13258-022-01341-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 10/26/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND Whole-Exome Sequencing (WES) is a valuable tool for the molecular diagnosis of patients with a suspected genetic condition. In complex and heterogeneous diseases, the interpretation of WES variants is more challenging given the absence of diagnostic handles and other reported cases with overlapping clinical presentations. OBJECTIVE To describe candidate variants emerging from trio-WES and possibly associated with the clinical phenotype in clinically heterogeneous conditions. METHODS We performed WES in ten patients from eight families, selected because of the lack of a clear clinical diagnosis or suspicion, the presence of multiple clinical signs, and the negative results of traditional genetic tests. RESULTS Although we identified ten candidate variants, reaching the diagnosis of these cases is challenging, given the complexity and the rarity of these syndromes and because affected genes are already associated with known genetic diseases only partially recapitulating patients' phenotypes. However, the identification of these variants could shed light into the definition of new genotype-phenotype correlations. Here, we describe the clinical and molecular data of these cases with the aim of favoring the match with other similar cases and, hopefully, confirm our diagnostic hypotheses. CONCLUSION This study emphasizes the major limitations associated with WES data interpretation, but also highlights its clinical utility in unraveling novel genotype-phenotype correlations in complex and heterogeneous undefined clinical conditions with a suspected genetic etiology.
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146
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Gil-Martínez J, Bernardo-Seisdedos G, Mato JM, Millet O. The use of pharmacological chaperones in rare diseases caused by reduced protein stability. Proteomics 2022; 22:e2200222. [PMID: 36205620 DOI: 10.1002/pmic.202200222] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/26/2022] [Accepted: 09/29/2022] [Indexed: 11/05/2022]
Abstract
Rare diseases are most often caused by inherited genetic disorders that, after translation, will result in a protein with altered function. Decreased protein stability is the most frequent mechanism associated with a congenital pathogenic missense mutation and it implies the destabilization of the folded conformation in favour of unfolded or misfolded states. In the cellular context and when experimental data is available, a mutant protein with altered thermodynamic stability often also results in impaired homeostasis, with the deleterious accumulation of protein aggregates, metabolites and/or metabolic by-products. In the last decades, a significant effort has enabled the characterization of rare diseases associated to protein stability defects and triggered the development of innovative therapeutic intervention lines, say, the use of pharmacological chaperones to correct the intracellular impaired homeostasis. Here, we review the current knowledge on rare diseases caused by reduced protein stability, paying special attention to the thermodynamic aspects of the protein destabilization, also focusing on some examples where pharmacological chaperones are being tested.
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Affiliation(s)
- Jon Gil-Martínez
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bizkaia, Spain
| | | | - José M Mato
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bizkaia, Spain.,CIBERehd, Instituto de Salud Carlos III, Madrid, Spain
| | - Oscar Millet
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bizkaia, Spain.,ATLAS Molecular Pharma, Bizkaia, Spain.,CIBERehd, Instituto de Salud Carlos III, Madrid, Spain
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147
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Senaratne TN, Saitta SC. Evaluating Genetic Disorders in the Neonate: The Role of Exome Sequencing in the NICU. Neoreviews 2022; 23:e829-e840. [PMID: 36450644 DOI: 10.1542/neo.23-12-e829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
With recent advances in the technologies used for genetic diagnosis as well as our understanding of the genetic basis of disease, a growing list of options is available for providers when caring for a newborn with features suggesting an underlying genetic etiology. The choice of the most appropriate genetic test for a specific situation includes clinical considerations such as the phenotypic features and type of genetic abnormality suspected, as well as practical considerations such as cost and turnaround time. In this review, we discuss clinical exome sequencing in the context of genetic evaluation of newborns, including technical considerations, variant interpretation, and incidental/secondary findings. Strengths and limitations of exome sequencing are discussed and compared with those of other commonly known tests such as karyotype analysis, fluorescence in situ hybridization, chromosomal microarray, and sequencing panels, along with integration of results from prenatal testing if available. We also review future directions including genome sequencing and other emerging technologies that are starting to be used in clinical settings.
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Affiliation(s)
- T Niroshi Senaratne
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Sulagna C Saitta
- Division of Clinical Genetics, Department of Pediatrics, Division of Reproductive Genetics, Department of Obstetrics and Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, CA
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148
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Yau TTL, Yu SCY, Cheng JY, Kwok JSS, Ma RCW. GCK-MODY in pregnancy: A pregnant woman with diabetes and a small-for-gestational-age fetus. Clin Case Rep 2022; 10:e6629. [PMID: 36483860 PMCID: PMC9723257 DOI: 10.1002/ccr3.6629] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 10/23/2022] [Accepted: 11/08/2022] [Indexed: 12/12/2022] Open
Abstract
Glucokinase-maturity-onset diabetes of the young (GCK-MODY) is often misdiagnosed as other forms of diabetes. A 42-year-old pregnant lady with pre-existing diabetes was treated with insulin during first trimester. Fetal growth restriction was noted since mid-second trimester. Genetic testing suggested the diagnosis of GCK-MODY.
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Affiliation(s)
- Tiffany Tse Ling Yau
- Department of Medicine and TherapeuticsThe Chinese University of Hong Kong, Prince of Wales HospitalShatinHong Kong
| | - Stephanie Cheuk Yin Yu
- Department of Chemical PathologyThe Chinese University of Hong Kong, Prince of Wales HospitalShatinHong Kong
| | - Jenny Yeuk‐Ki Cheng
- Department of Chemical PathologyThe Chinese University of Hong Kong, Prince of Wales HospitalShatinHong Kong
| | - Jeffrey Sung Shing Kwok
- Department of Chemical PathologyThe Chinese University of Hong Kong, Prince of Wales HospitalShatinHong Kong
| | - Ronald Ching Wan Ma
- Department of Medicine and TherapeuticsThe Chinese University of Hong Kong, Prince of Wales HospitalShatinHong Kong
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health SciencesThe Chinese University of Hong KongShatinHong Kong
- Chinese University of Hong Kong‐Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision MedicineThe Chinese University of Hong KongShatinHong Kong
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149
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Tabet D, Parikh V, Mali P, Roth FP, Claussnitzer M. Scalable Functional Assays for the Interpretation of Human Genetic Variation. Annu Rev Genet 2022; 56:441-465. [PMID: 36055970 DOI: 10.1146/annurev-genet-072920-032107] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Scalable sequence-function studies have enabled the systematic analysis and cataloging of hundreds of thousands of coding and noncoding genetic variants in the human genome. This has improved clinical variant interpretation and provided insights into the molecular, biophysical, and cellular effects of genetic variants at an astonishing scale and resolution across the spectrum of allele frequencies. In this review, we explore current applications and prospects for the field and outline the principles underlying scalable functional assay design, with a focus on the study of single-nucleotide coding and noncoding variants.
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Affiliation(s)
- Daniel Tabet
- Donnelly Centre, Department of Molecular Genetics, and Department of Computer Science, University of Toronto, Toronto, Ontario, Canada;
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
| | - Victoria Parikh
- Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Prashant Mali
- Department of Bioengineering, University of California, San Diego, California, USA
| | - Frederick P Roth
- Donnelly Centre, Department of Molecular Genetics, and Department of Computer Science, University of Toronto, Toronto, Ontario, Canada;
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
| | - Melina Claussnitzer
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Center for Genomic Medicine and Endocrine Division, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Harvard University, Boston, Massachusetts, USA;
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150
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El Mazouni D, Gros P. Cryo-EM structures of peripherin-2 and ROM1 suggest multiple roles in photoreceptor membrane morphogenesis. SCIENCE ADVANCES 2022; 8:eadd3677. [PMID: 36351012 PMCID: PMC9645710 DOI: 10.1126/sciadv.add3677] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 09/19/2022] [Indexed: 06/16/2023]
Abstract
Mammalian peripherin-2 (PRPH2) and rod outer segment membrane protein 1 (ROM1) are retina-specific tetraspanins that partake in the constant renewal of stacked membrane discs of photoreceptor cells that enable vision. Here, we present single-particle cryo-electron microscopy structures of solubilized PRPH2-ROM1 heterodimers and higher-order oligomers. High-risk PRPH2 and ROM1 mutations causing blindness map to the protein-dimer interface. Cysteine bridges connect dimers forming positive-curved oligomers, whereas negative-curved oligomers were observed occasionally. Hexamers and octamers exhibit a secondary micelle that envelopes four carboxyl-terminal helices, supporting a potential role in membrane remodeling. Together, the data indicate multiple structures for PRPH2-ROM1 in creating and maintaining compartmentalization of photoreceptor cells.
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Affiliation(s)
- Dounia El Mazouni
- Structural Biochemistry, Bijvoet Centre for Biomolecular Research, Department of Chemistry, Faculty of Science, Utrecht University, Netherlands
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