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Qian G, Yang N, Deng F, Zhang M, Pan X, Tan B, Liu L, Zhang X, Yao H, Dong X. SNV/Indel and CNV Analysis in Trio-WES for Intellectual and Developmental Disabilities: Diagnostic Yield & Cost-Effectiveness. Clin Genet 2025; 107:402-412. [PMID: 39829082 DOI: 10.1111/cge.14677] [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: 08/26/2024] [Revised: 11/29/2024] [Accepted: 12/07/2024] [Indexed: 01/22/2025]
Abstract
Intellectual and developmental disabilities (IDD) are clinically and genetically heterogeneous disorders of global concern. While whole exome sequencing (WES) is used to identify single nucleotide variants (SNVs) and small insertions/deletions (Indels) in IDD patients, its detection rate is limited. This study evaluated the value of integrating copy number variation (CNV) analysis into traditional SNV/Indel analysis based on trio-WES. One hundred eighty seven patients with IDD in 140 families from southwest China were incorporated into the study cohort. The overall diagnostic rate was 40.11% (75/187), with 33.16% (62/187) from SNV/Indel analysis and 6.95% (13/187) from CNV analysis. SNV/Indel analysis identified 52 variants in 42 genes, including 30 novel and 22 reported variants; CNV analysis identified 11 CNVs, comprising 1 repeat and 10 deletions, with sizes ranging from 1313 to 55 184 kb. 39.29% (55/140) families benefited from this study for their clinical diagnosis, treatment, and reproduction. Furthermore, our strategy, with an incremental cost-effectiveness ratio (ICER) of $2546.22/diagnosis, had demonstrated significant advantages in terms of cost-effectiveness and detection speed compared to previous methods. In general, by incorporating SNV/Indel and CNV analysis based on trio-WES, a robust, cost-effective, and time-saving approach for diagnosing IDD has been developed.
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Affiliation(s)
- Guanhua Qian
- Obstetrics and Gynecology Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Nanyan Yang
- Obstetrics and Gynecology Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Fang Deng
- Obstetrics and Gynecology Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Mingze Zhang
- Obstetrics and Gynecology Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xin Pan
- Obstetrics and Gynecology Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Bo Tan
- Obstetrics and Gynecology Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Liu
- Obstetrics and Gynecology Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xu Zhang
- Obstetrics and Gynecology Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hong Yao
- Obstetrics and Gynecology Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaojing Dong
- Obstetrics and Gynecology Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Kyriakidis I, Pelagiadis I, Katzilakis N, Stiakaki E. Approach to Macrodactyly: A Case Report and Diagnostic Algorithm for Syndromic and Isolated Forms. Pediatr Rep 2025; 17:32. [PMID: 40126231 PMCID: PMC11932304 DOI: 10.3390/pediatric17020032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2025] [Revised: 03/04/2025] [Accepted: 03/05/2025] [Indexed: 03/25/2025] Open
Abstract
BACKGROUND Macrodactyly (megalodactyly or digital gigantism) is a rare condition of overgrowth affecting one or more fingers or toes. METHODS We report a case of a 16-year-old Caucasian male with macrodactyly, lipomas, nevi, dysmorphic features, and autism. The clinical suspicion for a Proteus-like syndrome was high. RESULTS Targeted PIK3CA, AKT1, and PTEN sequencing for the affected tissue was negative. Subsequent genetic testing revealed a 16p11.2 duplication along with a heterozygous pathogenic variant in PRRT2 (not causally associated with digit malformation). CONCLUSIONS The clinical management of syndromic macrodactyly is well described by consensus guidelines, but isolated macrodactyly also needs pediatricians' attention and warrants a multidisciplinary approach. After reviewing the literature, a diagnostic algorithm for the approach and differential diagnosis of macrodactyly is provided. Phenotypes associated with PI3K/AKT/mTOR pathway mutations (including PIK3CA-related overgrowth spectrum PROS) are described. Late effects, follow-up schedules, and surveillance for cancer are discussed.
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Affiliation(s)
- Ioannis Kyriakidis
- Department of Pediatric Hematology-Oncology & Autologous Hematopoietic Stem Cell Transplantation Unit, University Hospital of Heraklion & Laboratory of Blood Diseases and Childhood Cancer Biology, School of Medicine, University of Crete, 71003 Heraklion, Greece
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Lan X, Tang X, Weng W, Xu W, Song X, Yang Y, Sun H, Ye H, Zhang H, Yu G, Wu S. Diagnostic Utility of Trio-Exome Sequencing for Children With Neurodevelopmental Disorders. JAMA Netw Open 2025; 8:e251807. [PMID: 40131272 PMCID: PMC11937947 DOI: 10.1001/jamanetworkopen.2025.1807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2024] [Accepted: 01/21/2025] [Indexed: 03/26/2025] Open
Abstract
Importance Copy number variants (CNVs) and single-nucleotide variations (SNVs) or insertions and deletions are key genetic contributors to neurodevelopmental disorders (NDDs). Traditionally, chromosome microarray and exome sequencing (ES) have been used to detect CNVs and single gene variants, respectively. Objective To identify genetic variants causing NDDs and evaluate the diagnostic yield and clinical utility of ES by simultaneously analyzing CNVs and SNVs in patients with NDDs and their biologic parents (trios). Design, Setting, and Participants This retrospective cohort study included pediatric patients with suspected NDDs who visited Shanghai Children's Hospital between January 1, 2018, and December 31, 2023. ES was used to investigate trios (trio-ES) including patients with NDDs who remained undiagnosed after phenotype identification and underwent gene panel testing, multiplex ligation-dependent probe amplification, or karyotyping. Comprehensive clinical and laboratory data were collected. Data were analyzed from July 2022 to December 2023. Exposure NDDs, characterized by global developmental delay or intellectual disability. Main Outcomes and Measures The study measured the overall diagnostic yield of SNVs and CNVs in the NDD cohort as well as within NDD syndromic subtypes. Results Of the 1106 patients with NDDs, 731 (66.1%) were male. The mean (SD) age of patients at diagnosis was 3.80 (2.82) years. The overall diagnostic yield of trio-ES was 46.1% (510 diagnoses among 1106 patients), with 149 CNVs (13.5%), 355 SNVs (32.1%), and 4 cases of uniparental disomy (0.4%). Codiagnosis of SNVs and CNVs occurred in 2 cases (0.2%). Among the trios, 812 candidate germline variants were identified, including 634 SNVs (78.1%), 174 CNVs (21.4%), and 4 cases of uniparental disomy (0.5%). Of these, 423 SNVs (66.7%) and 157 CNVs (90.2%) were diagnostic variants, while 211 SNVs (33.3%) and 17 CNVs (9.8%) were variants of uncertain significance. Sixteen CNVs smaller than 20 kilobase were detected using ES. Conclusions and Relevance In this cohort study, trio-ES, by simultaneously detecting SNVs and CNVs, achieved a diagnostic yield of 46.1%. Trio-ES may be particularly applicable for identifying small CNVs and recessive genetic diseases involving both SNVs and CNVs. These findings suggest that in clinical practice, simultaneously analyzing SNVs and CNVs using trio-ES data has a favorable genetic diagnostic yield for children with NDDs.
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Affiliation(s)
- Xiaoping Lan
- Department of Clinical Laboratory, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Institute of Pediatric Infection, Immunity, and Critical Care Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaojun Tang
- Department of Clinical Laboratory, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Institute of Pediatric Infection, Immunity, and Critical Care Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenhao Weng
- Department of Clinical Laboratory, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Institute of Pediatric Infection, Immunity, and Critical Care Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wuhen Xu
- Department of Clinical Laboratory, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Institute of Pediatric Infection, Immunity, and Critical Care Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaozhen Song
- Department of Clinical Laboratory, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Institute of Pediatric Infection, Immunity, and Critical Care Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongchen Yang
- Department of Clinical Laboratory, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Institute of Pediatric Infection, Immunity, and Critical Care Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Sun
- Shanghai Engineering Research Center for Big Data in Pediatric Precision Medicine, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Center for Biomedical Informatics, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Haiyun Ye
- Department of Ophthalmology, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hong Zhang
- Department of Clinical Laboratory, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Institute of Pediatric Infection, Immunity, and Critical Care Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guangjun Yu
- Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, Guangdong Province, China
| | - Shengnan Wu
- Department of Clinical Laboratory, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Institute of Pediatric Infection, Immunity, and Critical Care Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Pandey R, Brennan NF, Trachana K, Katsandres S, Bodamer O, Belmont J, Veenstra DL, Peng S. A meta-analysis of diagnostic yield and clinical utility of genome and exome sequencing in pediatric rare and undiagnosed genetic diseases. Genet Med 2025; 27:101398. [PMID: 40022598 DOI: 10.1016/j.gim.2025.101398] [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: 09/11/2024] [Revised: 02/19/2025] [Accepted: 02/20/2025] [Indexed: 03/03/2025] Open
Abstract
PURPOSE To systematically evaluate the diagnostic yield and clinical utility of genome sequencing (GS) and exome sequencing (ES; genome-wide sequencing [GWS]) in pediatric patients with rare and undiagnosed genetic diseases. METHODS We conducted a meta-analysis of studies published between 2011 and 2023. To address study heterogeneity, comparative analyses included within-cohort studies using random-effects models. RESULTS We identified 108 studies including 24,631 probands with diverse clinical indications. The pooled diagnostic yield among within-cohort studies (N = 13) for GWS was 34.2% (95% CI: 27.6-41.5; I2: 86%) vs 18.1% (95% CI: 13.1-24.6; I2: 89%) for non-GWS, with 2.4-times odds of diagnosis (95% CI: 1.40-4.04; P < .05). The pooled diagnostic yield among within-cohort studies (N = 3) for GS was 30.6% (95% CI: 18.6-45.9; I2: 79%) vs 23.2% (95% CI: 18.5-28.7; I2: 58%) for ES, with 1.7-times the odds of diagnosis (95% CI: 0.94-2.92; P = .13). In first-line testing, the diagnostic yield tended to be higher for GS than for ES across clinical subgroups. The pooled clinical utility among patients with a positive diagnosis was 58.7% (95% CI: 47.3-69.2; I2: 81%) for GS and 54.5% (95% CI: 40.7-67.6; I2: 87%) for ES. CONCLUSION GS appears to have a higher diagnostic yield than ES, with similar clinical utility per positive diagnosis.
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Affiliation(s)
- Rajshree Pandey
- Curta Inc, Seattle, WA; The CHOICE Institute, School of Pharmacy, University of Washington, Seattle, WA
| | | | | | | | - Olaf Bodamer
- Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA
| | | | - David L Veenstra
- Curta Inc, Seattle, WA; The CHOICE Institute, School of Pharmacy, University of Washington, Seattle, WA.
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Wu D, Chen R, Zhang J, Yan W, Chen M, Xia D, Li X, Dai Y, Chen Y, Li R. DNA copy number variations and craniofacial abnormalities in 1,457 children with neurodevelopmental disorders. Ital J Pediatr 2025; 51:9. [PMID: 39849549 PMCID: PMC11756179 DOI: 10.1186/s13052-025-01839-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 01/02/2025] [Indexed: 01/25/2025] Open
Abstract
BACKGROUND This study aimed to investigate deoxyribonucleic acid (DNA) copy number variations (CNVs) in children with neurodevelopmental disorders and their association with craniofacial abnormalities. METHODS A total of 1,457 children who visited the Child Health Department of our hospital for unexplained Neurodevelopmental disorders (NDDs) between November 2019 and December 2022 were enrolled. Peripheral venous blood samples (2 mL) were collected from the children and their parents for whole-exome sequencing. Positive results were verified through Sanger sequencing for locus and pedigree validation. Simultaneously, a specific sign-scoring scale was created to evaluate characteristics related to the developments of eyes, nose, ears, eyebrows, head, mouth, face, trunk, limbs, and reproductive, urinary, and cardiovascular systems. RESULTS A total of 536 children (36.78%, 536/1,457) were found to have genetic variations, with 379 (70.71%, 379/536) exhibiting pathogenic monogenic mutations. Furthermore, 157 children (29.29%, 157/536) harbored DNA copy number variants, encompassing microdeletions (68.15%, 107/157) and microduplications (31.85%, 50/157). Regarding the pathogenicity of CNVs, 91 (57.96%, 91/157) were identified as pathogenic, 28 (17.83%, 28/157) as variants of uncertain clinical significance (VOUS), and 38 (24.20%, 38/157) as benign according to the American College of Medical Genetics and Genomics (ACMG).Using a specific sign-scoring scale, the proportion of pathogenic CNVs in children graded 1 point or higher (64%, 58/91) was significantly higher than that of non-pathogenic CNVs (43%, 29/66) (P < 0.05). Furthermore, the proportion of microdeletions in children graded 1 point or higher (60.75%, 65/107) was significantly higher than those carrying microduplications (44%, 22/50) (P < 0.05). The proportion of pathogenic microdeletions in children graded 1 point or higher (73.43%,47/64) was significantly higher than those carrying pathogenic microduplications (40.74%, 11/27) (P < 0.05). CONCLUSION The positive rate of whole-exome sequencing for children with combined craniofacial abnormalities and NDDs exceeds the international average in our study cohort. Thus, whole-exome sequencing may be recommended for precise diagnosis of neurogenetic diseases in such cases.
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Affiliation(s)
- Dandan Wu
- Child Mental Health Deparment, Children's Hospital of Nanjing Medical University, NanjingJiangsu, 210008, China
| | - Ran Chen
- Child Healthcare Department, Children's Hospital of Nanjing Medical University, Jiangdong South No.8 Road, Nanjing, Jiangsu, 210008, China
| | - Jerry Zhang
- Basis International School Nanjing, Nanjing, Jiangsu, 210008, China
| | - Wu Yan
- Child Healthcare Department, Children's Hospital of Nanjing Medical University, Jiangdong South No.8 Road, Nanjing, Jiangsu, 210008, China
| | - Mengyin Chen
- Child Healthcare Department, Children's Hospital of Nanjing Medical University, Jiangdong South No.8 Road, Nanjing, Jiangsu, 210008, China
| | - Dongqing Xia
- Child Healthcare Department, Children's Hospital of Nanjing Medical University, Jiangdong South No.8 Road, Nanjing, Jiangsu, 210008, China
| | - Xiaonan Li
- Child Healthcare Department, Children's Hospital of Nanjing Medical University, Jiangdong South No.8 Road, Nanjing, Jiangsu, 210008, China
| | - Yanyan Dai
- Child Healthcare Department, Children's Hospital of Nanjing Medical University, Jiangdong South No.8 Road, Nanjing, Jiangsu, 210008, China
| | - Yinhua Chen
- Child Healthcare Department, Children's Hospital of Nanjing Medical University, Jiangdong South No.8 Road, Nanjing, Jiangsu, 210008, China.
| | - Rong Li
- Child Healthcare Department, Children's Hospital of Nanjing Medical University, Jiangdong South No.8 Road, Nanjing, Jiangsu, 210008, China.
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Akter H, Rahaman MA, Eshaque TB, Mohamed N, Islam A, Morshed M, Shahin Z, Muhaimin A, Foyzullah AM, Mim RA, Omar FB, Hasan MN, Satsangi D, Ahmed N, Al Saba A, Jahan N, Hossen MA, Mondol MA, Sakib AS, Kabir R, Jahan Chowdhury MS, Shams N, Afroz S, Kanta SI, Bhuiyan SJ, Biswas R, Hanif S, Tambi R, Nassir N, Rahman MM, Duan J, D Børglum A, Amin R, Basiruzzaman M, Kamruzzaman M, Sarker S, Woodbury-Smith M, Uddin KMF, Nabi AHMN, Uddin M. Genomic insights from a deeply phenotyped highly consanguineous neurodevelopmental disorders cohort. Genet Med 2025; 27:101282. [PMID: 39342494 DOI: 10.1016/j.gim.2024.101282] [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: 03/25/2024] [Revised: 09/19/2024] [Accepted: 09/19/2024] [Indexed: 10/01/2024] Open
Abstract
PURPOSE The genetic underpinning of neurodevelopmental disorders (NDDs) in diverse ethnic populations, especially those with high rates of consanguinity, remains largely unexplored. Here, we aim to elucidate genomic insight from 576 well-phenotyped and highly consanguineous (16%) NDD cohort. METHODS We used chromosomal microarray (CMA; N:247), exome sequencing (ES; N:127), combined CMA and ES (N:202), and long-read genome sequencing to identify genetic etiology. Deep clinical multivariate data were coupled with genomic variants for stratification analysis. RESULTS Genetic diagnosis rates were 17% with CMA, 29.92% with ES, and 37.13% with combined CMA and ES. Notably, children of consanguineous parents showed a significantly higher diagnostic yield (P < .01) compared to those from nonconsanguineous parents. Among the ES-identified pathogenic variants, 36.19% (38/105) were novel, implicating 35 unique genes. Long-read sequencing of seizure participants unresolved by combined test identified expanded FMR1 trinucleotide repeats. Additionally, we identified 2 recurrent X-linked variants in the G6PD in 3.65% (12/329) of NDD participants. These variants were absent in large-population control cohorts and cohort comprising neurodevelopmental and neuropsychiatric populations of European descendants, indicating a possible associated risk factor potentially resulting from ancient genetic drift. CONCLUSION This study unveils unique clinical and genomic insights from a consanguinity rich Bangladeshi NDD cohort.
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Affiliation(s)
- Hosneara Akter
- Genetics and Genomic Medicine Centre (GGMC), NeuroGen Healthcare, Dhaka, Bangladesh; Laboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
| | - Md Atikur Rahaman
- Genetics and Genomic Medicine Centre (GGMC), NeuroGen Healthcare, Dhaka, Bangladesh
| | | | - Nesrin Mohamed
- Center for Applied and Translational Genomics, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Health, Dubai, UAE
| | - Amirul Islam
- Genetics and Genomic Medicine Centre (GGMC), NeuroGen Healthcare, Dhaka, Bangladesh; GenomeArc Inc., Mississauga, ON, Canada
| | - Mehzabin Morshed
- Genetics and Genomic Medicine Centre (GGMC), NeuroGen Healthcare, Dhaka, Bangladesh
| | - Zaha Shahin
- Imperial College London, London, United Kingdom
| | - Al Muhaimin
- Genetics and Genomic Medicine Centre (GGMC), NeuroGen Healthcare, Dhaka, Bangladesh
| | - Arif Md Foyzullah
- Genetics and Genomic Medicine Centre (GGMC), NeuroGen Healthcare, Dhaka, Bangladesh
| | - Rabeya Akter Mim
- Genetics and Genomic Medicine Centre (GGMC), NeuroGen Healthcare, Dhaka, Bangladesh
| | - Farjana Binta Omar
- Genetics and Genomic Medicine Centre (GGMC), NeuroGen Healthcare, Dhaka, Bangladesh
| | - Md Nahid Hasan
- Genetics and Genomic Medicine Centre (GGMC), NeuroGen Healthcare, Dhaka, Bangladesh; GenomeArc Inc., Mississauga, ON, Canada
| | - Dharana Satsangi
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE
| | - Nahid Ahmed
- Genetics and Genomic Medicine Centre (GGMC), NeuroGen Healthcare, Dhaka, Bangladesh
| | - Abdullah Al Saba
- Laboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
| | - Nargis Jahan
- Centre for Precision Therapeutics (NPT), NeuroGen Healthcare, Dhaka, Bangladesh
| | - Md Arif Hossen
- Centre for Precision Therapeutics (NPT), NeuroGen Healthcare, Dhaka, Bangladesh
| | | | | | - Rezwana Kabir
- Centre for Precision Therapeutics (NPT), NeuroGen Healthcare, Dhaka, Bangladesh
| | | | - Nusrat Shams
- Centre for Precision Therapeutics (NPT), NeuroGen Healthcare, Dhaka, Bangladesh
| | - Shireen Afroz
- Bangladesh Shishu Hospital and Institute, Dhaka, Bangladesh
| | | | | | - Rabi Biswas
- Bangladesh Shishu Hospital and Institute, Dhaka, Bangladesh
| | - Shehzad Hanif
- Center for Applied and Translational Genomics, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Health, Dubai, UAE
| | - Richa Tambi
- Center for Applied and Translational Genomics, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Health, Dubai, UAE
| | - Nasna Nassir
- Center for Applied and Translational Genomics, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Health, Dubai, UAE; College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE
| | - Muhammad Mizanur Rahman
- Department of Paediatric Neurology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
| | - Jinjie Duan
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; Department of Biomedicine and the iSEQ Centre, Aarhus University, Aarhus, Denmark; Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; Department of Biomedicine and the iSEQ Centre, Aarhus University, Aarhus, Denmark; Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Robed Amin
- Ministry of Health and Family Welfare, Government of People Republic of Bangladesh, Dhaka, Bangaldesh
| | | | - Md Kamruzzaman
- Bangladesh Shishu Hospital and Institute, Dhaka, Bangladesh
| | - Shaoli Sarker
- Centre for Precision Therapeutics (NPT), NeuroGen Healthcare, Dhaka, Bangladesh; Bangladesh Shishu Hospital and Institute, Dhaka, Bangladesh
| | - Marc Woodbury-Smith
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - K M Furkan Uddin
- Genetics and Genomic Medicine Centre (GGMC), NeuroGen Healthcare, Dhaka, Bangladesh; Department of Biochemistry, Holy Family Red Crescent Medical College, Dhaka, Bangladesh
| | - A H M Nurun Nabi
- Laboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
| | - Mohammed Uddin
- Center for Applied and Translational Genomics, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Health, Dubai, UAE; GenomeArc Inc., Mississauga, ON, Canada; College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE.
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Alotibi RS, Al Eissa MM, Aloraini T, Nasser KK, Al Shammari MJ, Alqahtani AS. Copy Number Variants in 30 Saudi Pediatric Patients with Neurodevelopmental Disorders: From Unknown Significance to Diagnosis. SAUDI JOURNAL OF MEDICINE & MEDICAL SCIENCES 2024; 12:292-298. [PMID: 39539796 PMCID: PMC11556511 DOI: 10.4103/sjmms.sjmms_155_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 05/19/2024] [Accepted: 07/24/2024] [Indexed: 11/16/2024]
Abstract
Background Structural variants (SVs), such as copy number variants (CNVs), insertions, deletions, inversions, and translocations, contribute significantly to genetic diversity and disease etiology. CNVs, which involve the duplication or deletion of DNA segments, are particularly impactful on genes crucial for biological functions and disease processes. Objective To reassess unclassified SVs that may be underlying unresolved neurodevelopmental disorders among Saudi patients. Methodology In this retrospective study conducted at King Saud Medical City, Riyadh, Saudi Arabia, 30 probands with neurodevelopmental disorders and congenital malformations were examined using next-generation sequencing methods-exome sequencing, gene panels, or SNP arrays (the Illumina platform). Reclassification was aided by online tools such as VarSome and ClinVar, with pathogenicity assessments using the ClinGen CNV Pathogenicity Calculator based on American College of Medical Genetics and Genomics criteria for CNV loss and gain, and dosage sensitivity. Results A total of 31 CNVs were analyzed, of which 2 were reclassified: one as benign and the other as pathogenic. The pathogenic CNV, [3p13p12.3 (70411134_75249376) x1], included a deletion of the FOXP1 gene and was associated with an intellectual developmental disorder, language impairment, possible autistic features, psychomotor impairment, developmental regression, and epilepsy. Conclusion This study underscores the importance of continuously documenting and revisiting unclassified CNVs in accessible databases to enhance the diagnosis and understanding of complex genotype-phenotype relationships. Reclassifying these CNVs not only accelerates diagnostic processes but also enriches our insight into their significant roles in health and disease.
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Affiliation(s)
- Raniah Saleem Alotibi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Mariam M. Al Eissa
- Department of Molecular Genetics, Public Health Authority, Public Health Laboratory, Riyadh, Saudi Arabia
- Department of Medicine, Al Faisal University, Riyadh, Saudi Arabia
| | - Taghrid Aloraini
- Department of Laboratory Medicine, Division of Translational Pathology, King Abdulaziz Medical City, Riyadh, Saudi Arabia
- Department of Genetics, King Abdullah Specialized Children Hospital, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Khalidah Khalid Nasser
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, Centre for Artificial Intelligence in Precision Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Muneera J. Al Shammari
- Department of Pediatrics, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
| | - Amerh S. Alqahtani
- Department of Medical Genetics, King Saud Medical City, Riyadh, Saudi Arabia
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Aldosari AN, Aldosari TS. Comprehensive evaluation of the child with global developmental delays or intellectual disability. Clin Exp Pediatr 2024; 67:435-446. [PMID: 38810986 PMCID: PMC11374451 DOI: 10.3345/cep.2023.01697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 04/07/2024] [Indexed: 05/31/2024] Open
Abstract
Global developmental delay (GDD) and intellectual disability (ID) are relatively common neurodevelopmental disorders that significantly impact affected children, their families, and society. The etiology of GDD/ID is notably diverse, encompassing both genetic and acquired factors. Although the precise cause of most GDD/ID cases remains unclear, an estimated half of all cases can be attributed to genetic factors. Thus, a detailed medical history and comprehensive physical examination remain pivotal for guiding diagnostic investigations into the underlying causes of GDD/ID. Advancements in genetic testing have supplanted traditional methods such as karyotyping and fluorescence in situ hybridization with chromosomal micro arrays, which are now the primary genetic tests for children with idiopathic GDD/ID. Moreover, the evaluation of Fragile X and Rett syndrome should be an integral component of initial diagnostic assessments. In recent years, whole-exome sequencing and whole-genome sequ-encing have emerged as important diagnostic tools for evaluating children with GDD/ID and have substantially enhanced the diagnostic yield rates. Gene therapy has emerged as a promising avenue and is poised to become a cornerstone in addressing various genetic developmental and epilepsy disorders. Early intervention facilitated by a proficient multidisciplinary team can markedly enhance the prognosis and outcomes of GDD/ID, particularly when parents or caregivers are actively engaged in the interventional process. This review discusses risk factors and common underlying causes, explores recent evidence and recommendations for genetic evaluation, and offers management strategies for children with GDD/ID.
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Affiliation(s)
| | - T Saeed Aldosari
- Department of Special Education, Prince Sattam bin Abdulaziz University, Riyadh, Saudi Arabia
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Eissa MMA, Alotibi RS, Alqahtani AS, Aldriwesh MG, Alismail H, Asiri NY, Alabdulkareem YM. Breaking new ground: Exploring de novo chromosomal rearrangements in 1p36 microdeletion. Int J Health Sci (Qassim) 2024; 18:70-77. [PMID: 38974650 PMCID: PMC11226937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2024] Open
Abstract
Chromosomal structural variations (SVs) are linked to a wide range of phenotypes and arise due to disruptions during DNA replication, which can affect gene function within the SV regions. This case report details a patient diagnosed with neurodevelopmental delay. Detailed investigation through array comparative genomic hybridization revealed two pathogenic SVs on chromosome 1, which align with a 1p36 microdeletion, and a microduplication at 2p35.3, the latter being classified as a variant of unknown significance. The patient's clinical presentation is consistent with the 1p36 deletion syndrome, characterized by specific developmental delays and physical anomalies. Further genetic analysis suggests that these terminal rearrangements might stem from an unbalanced translocation between the short arms of chromosomes 1 and 2. This case underscores the complexity of interpreting multiple concurrent SVs and their cumulative effect on phenotype. Ongoing research into such chromosomal abnormalities will enhance our understanding of their clinical manifestations and guide more targeted therapeutic strategies.
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Affiliation(s)
- Mariam M. Al Eissa
- Department of Medicne, Medical School, AlFaisal University, Riyadh, Saudi Arabia
- Public Health Authority, Public Health Lab, Molecular Genetics Laboratory, Riyadh, Saudi Arabia
| | - Raniah S. Alotibi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Amerh S. Alqahtani
- Department of Medical Genetics, King Saud Medical City, Riyadh, Saudi Arabia
| | - Marwh G. Aldriwesh
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Hanan Alismail
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Nouf Y. Asiri
- Department of Anesthesia, College of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Yara M. Alabdulkareem
- Department of Basic Sciences, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
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Ranieri A, La Monica I, Di Iorio MR, Lombardo B, Pastore L. Genetic Alterations in a Large Population of Italian Patients Affected by Neurodevelopmental Disorders. Genes (Basel) 2024; 15:427. [PMID: 38674362 PMCID: PMC11050211 DOI: 10.3390/genes15040427] [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: 02/21/2024] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
Neurodevelopmental disorders are a group of complex multifactorial disorders characterized by cognitive impairment, communication deficits, abnormal behaviour, and/or motor skills resulting from abnormal neural development. Copy number variants (CNVs) are genetic alterations often associated with neurodevelopmental disorders. We evaluated the diagnostic efficacy of the array-comparative genomic hybridization (a-CGH) method and its relevance as a routine diagnostic test in patients with neurodevelopmental disorders for the identification of the molecular alterations underlying or contributing to the clinical manifestations. In the present study, we analysed 1800 subjects with neurodevelopmental disorders using a CGH microarray. We identified 208 (7%) pathogenetic CNVs, 2202 (78%) variants of uncertain significance (VOUS), and 504 (18%) benign CNVs in the 1800 patients analysed. Some alterations contain genes potentially related to neurodevelopmental disorders including CHRNA7, ANKS1B, ANKRD11, RBFOX1, ASTN2, GABRG3, SHANK2, KIF1A SETBP1, SNTG2, CTNNA2, TOP3B, CNTN4, CNTN5, and CNTN6. The identification of interesting significant genes related to neurological disorders with a-CGH is therefore an essential step in the diagnostic procedure, allowing a better understanding of both the pathophysiology of these disorders and the mechanisms underlying their clinical manifestations.
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Affiliation(s)
- Annaluisa Ranieri
- CEINGE-Biotecnologie Avanzate Franco Salvatore, via G. Salvatore 486, 80145 Naples, Italy; (A.R.); (I.L.M.); (M.R.D.I.); (L.P.)
| | - Ilaria La Monica
- CEINGE-Biotecnologie Avanzate Franco Salvatore, via G. Salvatore 486, 80145 Naples, Italy; (A.R.); (I.L.M.); (M.R.D.I.); (L.P.)
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, via Sergio Pansini 5, 80131 Naples, Italy
| | - Maria Rosaria Di Iorio
- CEINGE-Biotecnologie Avanzate Franco Salvatore, via G. Salvatore 486, 80145 Naples, Italy; (A.R.); (I.L.M.); (M.R.D.I.); (L.P.)
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, via Sergio Pansini 5, 80131 Naples, Italy
| | - Barbara Lombardo
- CEINGE-Biotecnologie Avanzate Franco Salvatore, via G. Salvatore 486, 80145 Naples, Italy; (A.R.); (I.L.M.); (M.R.D.I.); (L.P.)
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, via Sergio Pansini 5, 80131 Naples, Italy
| | - Lucio Pastore
- CEINGE-Biotecnologie Avanzate Franco Salvatore, via G. Salvatore 486, 80145 Naples, Italy; (A.R.); (I.L.M.); (M.R.D.I.); (L.P.)
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, via Sergio Pansini 5, 80131 Naples, Italy
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Wang Y, Yin F, Chai Y, Jin J, Zhang P, Tan Q, Chen Z. Prenatal diagnosis of fetuses with ultrasound anomalies by whole-exome sequencing in Luoyang city, China. Front Genet 2024; 14:1301439. [PMID: 38318287 PMCID: PMC10838985 DOI: 10.3389/fgene.2023.1301439] [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: 09/25/2023] [Accepted: 12/20/2023] [Indexed: 02/07/2024] Open
Abstract
Background: There is a great obstacle in prenatal diagnosis of fetal anomalies due to their considerable genetic and clinical heterogeneity. Whole-exome sequencing (WES) has been confirmed as a successful option for genetic diagnosis in pediatrics, but its clinical utility for prenatal diagnosis remains to be limited. Methods: A total of 60 fetuses with abnormal ultrasound findings underwent karyotyping or chromosomal microarray analysis (CMA), and those with negative results were further subjected to WES. The identified variants were classified as pathogenic or likely pathogenic (P/LP) and the variant of uncertain significance (VUS). Pregnancy outcomes were obtained through a telephone follow-up. Results: Twelve (20%, 12/60) fetuses were diagnosed to have chromosomal abnormalities using karyotyping or CMA. Of the remaining 48 cases that underwent WES, P/LP variants were identified in 14 cases (29.2%), giving an additional diagnostic yield of 23.3% (14/60). The most frequently affected organ referred for prenatal WES was the head or neck system (40%), followed by the skeletal system (39.1%). In terms of pathogenic genes, FGFR3 was the most common diagnostic gene in this cohort. For the first time, we discovered five P/LP variants involved in SEC24D, FIG4, CTNNA3, EPG5, and PKD2. In addition, we identified three VUSes that had been reported previously. Outcomes of pregnancy were available for 54 cases, of which 24 cases were terminated. Conclusion: The results confirmed that WES is a powerful tool in prenatal diagnosis, especially for fetuses with ultrasonographic anomalies that cannot be diagnosed using conventional prenatal methods. Additionally, newly identified variants will expand the phenotypic spectrum of monogenic disorders and greatly enrich the prenatal diagnostic database.
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Affiliation(s)
- Yanan Wang
- Department of Genetics and Prenatal Diagnosis, Luoyang Maternal and Child Health Hospital, Luoyang, China
| | - Fan Yin
- Puluo (Wuhan) Medical Biotechnology Co., LTD., Wuhan, China
| | - Yuqiong Chai
- Department of Genetics and Prenatal Diagnosis, Luoyang Maternal and Child Health Hospital, Luoyang, China
| | - Jiapei Jin
- Department of Genetics and Prenatal Diagnosis, Luoyang Maternal and Child Health Hospital, Luoyang, China
| | - Pai Zhang
- Department of Genetics and Prenatal Diagnosis, Luoyang Maternal and Child Health Hospital, Luoyang, China
| | - Qianqian Tan
- Puluo (Wuhan) Medical Biotechnology Co., LTD., Wuhan, China
| | - Zhigang Chen
- Puluo (Wuhan) Medical Biotechnology Co., LTD., Wuhan, China
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Al Eissa MM, Alotibi RS, Alhaddad B, Aloraini T, Samman MS, AlAsiri A, Abouelhoda M, AlQahtani AS. Reclassifying variations of unknown significance in diseases affecting Saudi Arabia's population reveal new associations. Front Genet 2023; 14:1250317. [PMID: 38028588 PMCID: PMC10646566 DOI: 10.3389/fgene.2023.1250317] [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: 06/29/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction: Physicians face diagnostic dilemmas upon reports indicating disease variants of unknown significance (VUS). The most puzzling cases are patients with rare diseases, where finding another matched genotype and phenotype to associate their results is challenging. This study aims to prove the value of updating patient files with new classifications, potentially leading to better assessment and prevention. Methodology: We recruited retrospective phenotypic and genotypic data from King Saud Medical City, Riyadh, Kingdom of Saudi Arabia. Between September 2020 and December 2021, 1,080 patients' genetic profiles were tested in a College of American Pathologists accredited laboratory. We excluded all confirmed pathogenic variants, likely pathogenic variants and copy number variations. Finally, we further reclassified 194 VUS using different local and global databases, employing in silico prediction to justify the phenotype-genotype association. Results: Of the 194 VUS, 90 remained VUS, and the other 104 were reclassified as follows: 16 pathogenic, 49 likely pathogenic, nine benign, and 30 likely benign. Moreover, most of these variants had never been observed in other local or international databases. Conclusion: Reclassifying the VUS adds value to understanding the causality of the phenotype if it has been reported in another family or population. The healthcare system should establish guidelines for re-evaluating VUS, and upgrading VUS should reflect on individual/family risks and management strategies.
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Affiliation(s)
- Mariam M. Al Eissa
- Public Health Authority, Public Health Lab, Molecular Genetics Laboratory, Riyadh, Saudi Arabia
- Medical School, AlFaisal University, Riyadh, Saudi Arabia
| | - Raniah S. Alotibi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia
| | - Bader Alhaddad
- Laboratory Medicine Department, King Fahd University Hospital, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
- Molecular Genetics Department, King Saud Medical City, Riyadh, Saudi Arabia
| | - Taghrid Aloraini
- Division of Translational Pathology, Department of Laboratory Medicine, King Abdulaziz Medical City, Riyadh, Saudi Arabia
- Department of Genetics, King Abdullah Specialized Children Hospital, King Abdulaziz Medical City, MNGHA, Riyadh, Saudi Arabia
| | - Manar S. Samman
- Department of Pathology and Clinical Laboratory Medicine Administration, King Fahad Medical City (KFMC), Riyadh, Saudi Arabia
| | - Abdulrahman AlAsiri
- Medical Genomics Research Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, Netherlands
| | - Mohamed Abouelhoda
- Chairman Computational Science Department at King Faisal Specialised Hospital and Research Center, KFSHRC, Riyadh, Saudi Arabia
| | - Amerh S. AlQahtani
- Medical Genetics Department, King Saud Medical City, Riyadh, Saudi Arabia
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