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Huguet G, Renne T, Poulain C, Dubuc A, Kumar K, Kazem S, Engchuan W, Shanta O, Douard E, Proulx C, Jean-Louis M, Saci Z, Mollon J, Schultz LM, Knowles EEM, Cox SR, Porteous D, Davies G, Redmond P, Harris SE, Schumann G, Dumas G, Labbe A, Pausova Z, Paus T, Scherer SW, Sebat J, Almasy L, Glahn DC, Jacquemont S. Effects of gene dosage on cognitive ability: A function-based association study across brain and non-brain processes. CELL GENOMICS 2024; 4:100721. [PMID: 39667348 PMCID: PMC11701252 DOI: 10.1016/j.xgen.2024.100721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 07/30/2024] [Accepted: 11/13/2024] [Indexed: 12/14/2024]
Abstract
Copy-number variants (CNVs) that increase the risk for neurodevelopmental disorders also affect cognitive ability. However, such CNVs remain challenging to study due to their scarcity, limiting our understanding of gene-dosage-sensitive biological processes linked to cognitive ability. We performed a genome-wide association study (GWAS) in 258,292 individuals, which identified-for the first time-a duplication at 2q12.3 associated with higher cognitive performance. We developed a functional-burden analysis, which tested the association between cognition and CNVs disrupting 6,502 gene sets biologically defined across tissues, cell types, and ontologies. Among those, 864 gene sets were associated with cognition, and effect sizes of deletion and duplication were negatively correlated. The latter suggested that functions across all biological processes were sensitive to either deletions (e.g., subcortical regions, postsynaptic) or duplications (e.g., cerebral cortex, presynaptic). Associations between non-brain tissues and cognition were driven partly by constrained genes, which may shed light on medical comorbidities in neurodevelopmental disorders.
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Affiliation(s)
- Guillaume Huguet
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada.
| | - Thomas Renne
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada; Department of Biochemistry and Molecular Medicine, Université de Montréal, Montréal, QC, Canada
| | - Cécile Poulain
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada; Department of Biochemistry and Molecular Medicine, Université de Montréal, Montréal, QC, Canada
| | - Alma Dubuc
- École Normale Supérieure de Lyon, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
| | - Kuldeep Kumar
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada
| | - Sayeh Kazem
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada; Department of Biochemistry and Molecular Medicine, Université de Montréal, Montréal, QC, Canada
| | - Worrawat Engchuan
- The Hospital for Sick Children, Genetics and Genome Biology, Toronto, ON, Canada; The Hospital for Sick Children, The Centre for Applied Genomics, Toronto, ON, Canada
| | - Omar Shanta
- Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA
| | - Elise Douard
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada
| | - Catherine Proulx
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada
| | - Martineau Jean-Louis
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada
| | - Zohra Saci
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada
| | - Josephine Mollon
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Laura M Schultz
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Emma E M Knowles
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Simon R Cox
- Lothian Birth Cohorts, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - David Porteous
- Lothian Birth Cohorts, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh EH8 9JZ, UK; Medical Genetics Section, Centre for Genomic & Experimental Medicine, MRC Institute of Genetics & Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK; Generation Scotland, Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Gail Davies
- Lothian Birth Cohorts, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Paul Redmond
- Lothian Birth Cohorts, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Sarah E Harris
- Lothian Birth Cohorts, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Gunter Schumann
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Guillaume Dumas
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada; Mila - Quebec Artificial Intelligence Institute, Montréal, QC, Canada
| | - Aurélie Labbe
- Département de Sciences de la Décision, HEC Montreal, Montreal, QC, Canada
| | - Zdenka Pausova
- Research Institute of the Hospital for Sick Children, Toronto, ON, Canada; Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada; ECOGENE-21, Chicoutimi, QC, Canada
| | - Tomas Paus
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada; Department of Psychiatry and Addictology, Department of Neuroscience, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Stephen W Scherer
- The Hospital for Sick Children, Genetics and Genome Biology, Toronto, ON, Canada; The Hospital for Sick Children, The Centre for Applied Genomics, Toronto, ON, Canada; McLaughlin Centre and Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Jonathan Sebat
- University of California, San Diego, Department of Psychiatry, Department of Cellular & Molecular Medicine, Beyster Center of Psychiatric Genomics, San Diego, CA, USA
| | - Laura Almasy
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - David C Glahn
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Sébastien Jacquemont
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada; Department of Pediatrics, Université de Montréal, Montreal, QC, Canada.
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Tanabe H, Koshizuka Y, Tanaka K, Takahashi K, Ijiri M, Takahashi K, Ando K, Ueno N, Kashima S, Sarashina T, Moriichi K, Mitsube K, Mizukami Y, Fujiya M, Makita Y. High-resolution genetic analysis of whole APC gene deletions: a report of two cases and patient characteristics. Hum Genome Var 2024; 11:46. [PMID: 39632802 PMCID: PMC11618449 DOI: 10.1038/s41439-024-00301-z] [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: 11/04/2024] [Accepted: 11/09/2024] [Indexed: 12/07/2024] Open
Abstract
Familial adenomatous polyposis (FAP) is an autosomal dominant syndrome caused by germline variants in the APC gene, leading to the development of numerous colorectal polyps and significantly increases the risk of colorectal cancer. A diagnosis is typically made using colonoscopy, and genetic testing can assist in patient surveillance and carrier identification. Recent advances include the use of whole-genome array comparative genomic hybridization (a-CGH), which provides better resolution of genetic imbalances. We aimed to explore the specific features of FAP patients with whole APC gene deletions using high-resolution a-CGH and to compare patient characteristics. Two polyposis patients with whole APC deletions were identified, and the lost genetic sizes ranged from 0.3-1.1 Mb. Nervous abnormalities were a characteristic symptom in a patient with a 1.1 Mb loss. A patient with an approximately 0.3 Mb loss, which included the entire APC gene, presented a polyposis phenotype without intellectual disability. The comparison of genetic losses, with or without intellectual disability, revealed 7 genetic changes. Consequently, EPB41L4A is a candidate gene associated with the neurogenic phenotype.
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Affiliation(s)
- Hiroki Tanabe
- Oncology Center, Asahikawa Medical University Hospital, Asahikawa, Japan.
- Genetic Oncology Department, Asahikawa Medical University Hospital, Asahikawa, Japan.
- Department of Genetic Counseling, Asahikawa Medical University Hospital, Asahikawa, Japan.
- Division of Gastroenterology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan.
| | - Yasuyuki Koshizuka
- Department of Surgery, Asahikawa-Kosei general Hospital, Asahikawa, Japan
| | - Kazuyuki Tanaka
- Department of Gastroenterology, Asahikawa-Kosei General Hospital, Asahikawa, Japan
| | - Kenji Takahashi
- Genetic Oncology Department, Asahikawa Medical University Hospital, Asahikawa, Japan
- Division of Gastroenterology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Masami Ijiri
- Department of Gastroenterology, Japanese Red Cross Asahikawa Hospital, Asahikawa, Japan
| | - Keitaro Takahashi
- Division of Gastroenterology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Katsuyoshi Ando
- Genetic Oncology Department, Asahikawa Medical University Hospital, Asahikawa, Japan
- Division of Gastroenterology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Nobuhiro Ueno
- Division of Gastroenterology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Shin Kashima
- Division of Gastroenterology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Takeo Sarashina
- Oncology Center, Asahikawa Medical University Hospital, Asahikawa, Japan
| | - Kentaro Moriichi
- Division of Gastroenterology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Kenrokuro Mitsube
- Department of Obstetrics and Gynecology, Asahikawa-Kosei General Hospital, Asahikawa, Japan
| | - Yusuke Mizukami
- Department of Genetic Counseling, Asahikawa Medical University Hospital, Asahikawa, Japan
- Division of Gastroenterology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Mikihiro Fujiya
- Division of Gastroenterology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Yoshio Makita
- Department of Genetic Counseling, Asahikawa Medical University Hospital, Asahikawa, Japan
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Aishworiya R, Chin HL, Savulescu J. Should newborn genetic testing for autism be introduced? JOURNAL OF MEDICAL ETHICS 2024:jme-2024-110166. [PMID: 39626956 DOI: 10.1136/jme-2024-110166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 11/11/2024] [Indexed: 01/12/2025]
Abstract
This manuscript provides a review of the potential role of newborn genetic testing for autism, and whether the state has an inherent responsibility to facilitate and subsidise this. This is situated within the broader construct of benefits and limitations of genetic testing currently. Potential benefits of such presymptomatic genetic testing include facilitating earlier diagnosis and access to appropriate intervention which can improve the treatment outcome for the child and indirectly benefit caregivers and society by reducing the care needs of the child and adult in future. However, there are several limitations to newborn genetic testing including the variable penetrance of 'autism-risk' genes, marked phenotypic heterogeneity of autism, real-world limitations in access to treatment, potential psychological harm to caregivers and financial considerations. We hence argue for facilitation of diagnostic genetic testing instead, especially for parents who seek to have greater understanding of recurrence likelihoods, related to reproductive decision-making. Facilitation of such testing can be in the form of both financial subsidies and infrastructural elements including availability of testing facilities and trained healthcare personnel for individualised pregenetic and postgenetic test counselling.
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Affiliation(s)
- Ramkumar Aishworiya
- Division of Developmental and Behavioural Paediatrics, Department of Paediatrics, Khoo Teck Puat - National University Children's Medical Institute, National University Hospital, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Hui-Lin Chin
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Division of Genetics and Metabolism, Department of Paediatrics, Khoo Teck Puat - National University Children's Medical Institute, National University Hospital, Singapore
| | - Julian Savulescu
- Centre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Oxford Uehiro Centre for Practical Ethics, Faculty of Philosophy, University of Oxford, Oxford, UK
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Rodriguez-Gil JL, Nagy PL, Francke U. Optical genome mapping with genome sequencing identifies subtelomeric Xq28 deletion and inserted 7p22.3 duplication in a male with multisystem developmental disorder. Am J Med Genet A 2024; 194:e63814. [PMID: 39011850 DOI: 10.1002/ajmg.a.63814] [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: 11/01/2023] [Revised: 03/24/2024] [Accepted: 06/27/2024] [Indexed: 07/17/2024]
Abstract
We report a 17-year-old male with supravalvular stenosis, initial failure to thrive and delayed early development, short stature, acromelia, dysmorphic facial features, hypertelorism, macrocephaly, syringomyelia, hypertension, and anxiety disorder. Fluorescent in situ hybridization (FISH), chromosomal microarray analysis (CMA), and exome sequencing (ES) were nondiagnostic. Combined optical genome mapping (OGM) and genome sequencing (GS) showed a complex rearrangement including an X chromosome with a 22.5 kb deletion in band Xq28 replaced by a 61.4 kb insertion of duplicated chromosome 7p22.3 material. The deletion removes the distal 3' untranslated region (UTR) of FUNDC2, the entire CMC4 and MTCP1, and the first five exons of BRCC3. Transcriptome analysis revealed absent expression of CMC4 and MTCP1 and BRCC3 with normal transcript level of FUNDC2. The inserted duplication includes only one known gene: UNCX. Similar overlapping Xq28 deletions have been reported to be associated with Moyamoya disease (MMD), short stature, hypergonadotropic hypogonadism (HH), and facial dysmorphism. Although he has short stature, our patient does not have signs of Moyamoya arteriopathy or hypogonadism. The structurally abnormal X chromosome was present in his mother, but not in his unaffected brother, maternal uncle, or maternal grandparents. We propose that the combination of his absent Xq28 and duplicated 7p22.3 genomic material is responsible for his phenotype. This case highlights the potential of combined OGM and GS for detecting complex structural variants compared with standard of care genetic testing such as CMA and ES.
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Affiliation(s)
- Jorge L Rodriguez-Gil
- Department of Pediatrics, Division of Medical Genetics, Stanford University School of Medicine, Stanford, California, USA
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University, Stanford, California, USA
| | | | - Uta Francke
- Department of Pediatrics, Division of Medical Genetics, Stanford University School of Medicine, Stanford, California, USA
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55
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Zhao S, Li M, Chen WJ, Rennie BJ, Hsiao YY, Guan Y. Parental experiences and perspectives of healthcare providers' genetic testing recommendations for their children diagnosed with autism spectrum disorder in the United States. Autism Res 2024; 17:2471-2486. [PMID: 39533966 DOI: 10.1002/aur.3262] [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: 07/07/2024] [Accepted: 10/28/2024] [Indexed: 11/16/2024]
Abstract
Although genetic testing is recommended for all children diagnosed with autism spectrum disorder (ASD) in the United States, it remains unclear how many parents have received and followed these recommendations. This study aimed to assess parental experiences and perspectives of healthcare providers' genetic testing recommendations. A total of 1043 parents of children with ASD from Simons Foundation Powering Autism Research for Knowledge completed an online survey. Only about one-third of the parents (34.2%) reported that their children's providers had recommended genetic testing. Factors associated with whether parents received these recommendations included the type of healthcare providers diagnosing ASD, parents' knowledge of genetic testing, the age of their children's diagnosis, and the presence of certain co-occurring medical conditions in their children. Our study also revealed that most parents (76.9%) who received recommendations had pursued genetic testing for their children. Adherence to the recommendations was associated with the characteristics of the parents (i.e., age and employment status) and children (i.e., gender), and their trust in the information from providers. The findings highlight the critical role of healthcare providers in facilitating genetic testing among families of children with ASD. Healthcare providers are recommended to increase their competencies and practice in providing genetic testing recommendations for ASD, assist parents in navigating testing challenges, and support parents through the testing process.
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Affiliation(s)
- Shixi Zhao
- College of Population Health, University of New Mexico, Albuquerque, New Mexico, USA
| | - Ming Li
- Department of Health Sciences, Towson University, Towson, Maryland, USA
| | - Wei-Ju Chen
- Department of Psychology, The University of Texas Permian Basin, Odessa, Texas, USA
| | - Brandon J Rennie
- Department of Pediatrics, University of New Mexico, Albuquerque, New Mexico, USA
| | - Yu-Yu Hsiao
- Department of Individual, Family, & Community Education, University of New Mexico, Albuquerque, New Mexico, USA
| | - Yue Guan
- Department of Behavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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Jacobsmeyer AT, Buitrago-Mogollon TL, White B, Charles JR, Clarke-Pounder JP, Amador J, Carter LB. Improving genetic testing utilization in a tertiary care neonatal intensive care unit through quality improvement. Am J Med Genet A 2024; 194:e63834. [PMID: 39132941 DOI: 10.1002/ajmg.a.63834] [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: 05/13/2024] [Revised: 07/12/2024] [Accepted: 07/24/2024] [Indexed: 08/13/2024]
Abstract
There is an increasing recognition of the importance of diagnosing genetic conditions with an ever-growing list of genetic testing options. However, most providers do not have formal genetics training, which makes choosing the most appropriate test to order challenging. Our project sought to improve cytogenetic testing utilization in a tertiary care neonatal intensive care unit (NICU) through utilizing quality improvement techniques, specifically the Model for Improvement framework with rapid Plan-Do-Study-Act cycles. Our project utilized various interventions including the implementation of a NICU genetic testing algorithm. Interventions demonstrated improvement in all areas, specifically a 92% reduction in unnecessary cytogenetic testing with improvement in the diagnostic rate. Our work also resulted in a 59% decrease in charges with an estimated projected savings of $21,000 per year. Quality improvement can minimize redundancies and inefficiencies in genetic testing in a Level IV NICU in a large tertiary care children's hospital and result in substantial cost-savings.
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Affiliation(s)
- Andrew T Jacobsmeyer
- Division of Pediatric Hospital Medicine, Department of Pediatrics, Atrium Health Levine Children's Hospital, Charlotte, North Carolina, USA
| | - Talia L Buitrago-Mogollon
- Center for Advancing Pediatric Excellence, Atrium Health Levine Children's Hospital, Charlotte, North Carolina, USA
| | - Blanche White
- Center for Advancing Pediatric Excellence, Atrium Health Levine Children's Hospital, Charlotte, North Carolina, USA
| | - Jasmyne-Rian Charles
- Center for Advancing Pediatric Excellence, Atrium Health Levine Children's Hospital, Charlotte, North Carolina, USA
| | - Jessica P Clarke-Pounder
- Division of Neonatology, Department of Pediatrics, Atrium Health Levine Children's Hospital, Charlotte, North Carolina, USA
| | - Jodi Amador
- Division of Neonatology, Department of Pediatrics, Atrium Health Levine Children's Hospital, Charlotte, North Carolina, USA
| | - Lauren B Carter
- Division of Medical Genetics, Department of Pediatrics, Atrium Health Levine Children's Hospital, Charlotte, North Carolina, USA
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Quan Y, Luo Y, Li J, Wang T, Zhang P, Li Y. Clinical features and genetic analysis of 471 cases of fetal congenital heart disease. BMC Pregnancy Childbirth 2024; 24:780. [PMID: 39587524 PMCID: PMC11587643 DOI: 10.1186/s12884-024-06978-y] [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: 03/21/2024] [Accepted: 11/11/2024] [Indexed: 11/27/2024] Open
Abstract
BACKGROUND Congenital heart disease (CHD) is a heterogeneous collection of structural abnormalities of the heart or great vessels that are present at birth. These birth defects are one of the leading causes of infant mortality and morbidity worldwide. The etiology and pathogenesis of CHD are unclear and largely considered to be multifactorial in nature. Since the chromosomal profile of CHD has not been analyzed in a large sample size, we aimed to summarize the clinical features, cytogenetics findings, and pregnancy outcomes of CHD to provide a clinical reference for prenatal diagnosis. METHODS Among 21,152 pregnant women, 471 (2.23%) showed fetal CHD on cordocentesis or amniocentesis. The number of cases showing simple CHD, simple CHD with concomitant extracardiac structural abnormalities, complex CHD, and complex CHD with concomitant extracardiac structural abnormalities was 128, 124, 89, and 130, respectively. For prenatal genetic diagnosis, karyotyping was performed with single-nucleotide polymorphism array(SNP-array)-based chromosomal microarrays, fluorescence in situ hybridization (FISH), copy number variation sequencing (CNV-seq), and BACs-on-Beads™ (BoBs) analyses. The results of ultrasonography examinations, genetic analyses, and pregnancy outcomes were recorded in detail. RESULTS Ventricular septal defects (VSDs) were observed in 245 (52.02%) cases of fetal CHD. Among the 471 cases of CHD, 258 (54.78%) showed other ultrasound abnormalities. The most common ultrasound abnormalities were abnormalities of the central nervous system. The 471 cases included 93 (19.75%) cases showing chromosomal abnormalities, and the incidence of these abnormalities increased with advanced maternal age or the presence of other ultrasound abnormalities. In eight cases, karyotype analysis showed normal results while SNP-array or CNV-seq results were abnormal. Among the 453 cases that were followed up, 166 (36.64%) involved pregnancy termination, 273 (60.26%) involved live births, 7 (1.55%) involved fetal death in utero, and 7 (1.55%) involved neonatal death after birth. CONCLUSIONS Fetuses with CHD showed higher rates of chromosomal abnormalities. In cases diagnosed with fetal CHD during fetal ultrasonic examination, the mothers should undergo a careful and comprehensive fetal ultrasound scan as well as prenatal genetic testing, including karyotype analysis and SNP-array or CNV-sequencing. The prognosis for simple fetal CHD is good, while the prognosis for complex fetal CHD and extracardiac anomalies is poor.
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Affiliation(s)
- Yulu Quan
- Department of Obstetrics and Gynecology, The Eighth Medical Center of the General Hospital of PLA, Beijing, China
- Department of Reproductive and Genetics, Hebei General Hospital, Shijiazhuang, Hebei Province, China
| | - Yan Luo
- Department of Reproductive and Genetics, Hebei General Hospital, Shijiazhuang, Hebei Province, China
| | - Juan Li
- Department of Reproductive and Genetics, Hebei General Hospital, Shijiazhuang, Hebei Province, China
| | - Tao Wang
- Department of Reproductive Endocrinology, The Second People's Hospital of Liaocheng, Liaocheng, Shandong Province, China
| | - Pingping Zhang
- Department of Reproductive and Genetics, Hebei General Hospital, Shijiazhuang, Hebei Province, China.
| | - Yali Li
- Department of Reproductive and Genetics, Hebei General Hospital, Shijiazhuang, Hebei Province, China.
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Imai Y, Kusano K, Aiba T, Ako J, Asano Y, Harada-Shiba M, Kataoka M, Kosho T, Kubo T, Matsumura T, Minamino T, Minatoya K, Morita H, Nishigaki M, Nomura S, Ogino H, Ohno S, Takamura M, Tanaka T, Tsujita K, Uchida T, Yamagishi H, Ebana Y, Fujita K, Ida K, Inoue S, Ito K, Kuramoto Y, Maeda J, Matsunaga K, Neki R, Sugiura K, Tada H, Tsuji A, Yamada T, Yamaguchi T, Yamamoto E, Kimura A, Kuwahara K, Maemura K, Minamino T, Morisaki H, Tokunaga K. JCS/JCC/JSPCCS 2024 Guideline on Genetic Testing and Counseling in Cardiovascular Disease. Circ J 2024; 88:2022-2099. [PMID: 39343605 DOI: 10.1253/circj.cj-23-0926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/01/2024]
Affiliation(s)
- Yasushi Imai
- Division of Clinical Pharmacology and Division of Cardiovascular Medicine, Jichi Medical University
| | - Kengo Kusano
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
| | - Takeshi Aiba
- Department of Clinical Laboratory Medicine and Genetics, National Cerebral and Cardiovascular Center
| | - Junya Ako
- Department of Cardiovascular Medicine, Kitasato University School of Medicine
| | - Yoshihiro Asano
- Department of Genomic Medicine, National Cerebral and Cardiovascular Center
| | | | - Masaharu Kataoka
- The Second Department of Internal Medicine, University of Occupational and Environmental Health
| | - Tomoki Kosho
- Department of Medical Genetics, Shinshu University School of Medicine
| | - Toru Kubo
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
| | - Takayoshi Matsumura
- Division of Human Genetics, Center for Molecular Medicine, Jichi Medical University
| | - Tetsuo Minamino
- Department of Cardiorenal and Cerebrovascular Medicine, Faculty of Medicine, Kagawa University
| | - Kenji Minatoya
- Department of Cardiovascular Surgery, Graduate School of Medicine, Kyoto University
| | - Hiroyuki Morita
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Masakazu Nishigaki
- Department of Genetic Counseling, International University of Health and Welfare
| | - Seitaro Nomura
- Department of Frontier Cardiovascular Science, Graduate School of Medicine, The University of Tokyo
| | | | - Seiko Ohno
- Medical Genome Center, National Cerebral and Cardiovascular Center
| | - Masayuki Takamura
- Department of Cardiovascular Medicine, Kanazawa University Graduate School of Medical Sciences
| | - Toshihiro Tanaka
- Department of Human Genetics and Disease Diversity, Tokyo Medical and Dental University
| | - Kenichi Tsujita
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University
| | - Tetsuro Uchida
- Department of Surgery II (Division of Cardiovascular, Thoracic and Pediatric Surgery), Yamagata University Faculty of Medicine
| | | | - Yusuke Ebana
- Life Science and Bioethics Research Center, Tokyo Medical and Dental University Hospital
| | - Kanna Fujita
- Department of Cardiovascular Medicine, The University of Tokyo Hospital
- Department of Computational Diagnostic Radiology and Preventive Medicine, Graduate School of Medicine, The University of Tokyo
| | - Kazufumi Ida
- Division of Counseling for Medical Genetics, National Cerebral and Cardiovascular Center
| | - Shunsuke Inoue
- Department of Cardiovascular Medicine, The University of Tokyo Hospital
| | - Kaoru Ito
- Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences
| | - Yuki Kuramoto
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
| | - Jun Maeda
- Department of Cardiology, Tokyo Metropolitan Children's Medical Center
| | - Keiji Matsunaga
- Department of Cardiorenal and Cerebrovascular Medicine, Faculty of Medicine, Kagawa University
| | - Reiko Neki
- Division of Counseling for Medical Genetics, Department of Obstetrics and Gynecology, National Cerebral and Cardiovascular Center
| | - Kenta Sugiura
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
| | - Hayato Tada
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kanazawa University
| | - Akihiro Tsuji
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
| | | | | | | | - Akinori Kimura
- Institutional Research Office, Tokyo Medical and Dental University
| | - Koichiro Kuwahara
- Department of Cardiovascular Medicine, Shinshu University School of Medicine
| | - Koji Maemura
- Department of Cardiovascular Medicine, Nagasaki University Graduate School of Biomedical Sciences
| | - Tohru Minamino
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine
| | | | - Katsushi Tokunaga
- Genome Medical Science Project, National Center for Global Health and Medicine
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Dwivedi R, Kaushik M, Tripathi M, Dada R, Tiwari P. Unraveling the genetic basis of epilepsy: Recent advances and implications for diagnosis and treatment. Brain Res 2024; 1843:149120. [PMID: 39032529 DOI: 10.1016/j.brainres.2024.149120] [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: 05/20/2024] [Revised: 07/05/2024] [Accepted: 07/08/2024] [Indexed: 07/23/2024]
Abstract
Epilepsy, affecting approximately 1% of the global population, manifests as recurring seizures and is heavily influenced by genetic factors. Recent advancements in genetic technologies have revolutionized our understanding of epilepsy's genetic landscape. Key studies, such as the discovery of mutations in ion channels (e.g., SCN1A and SCN2A), neurotransmitter receptors (e.g., GABRA1), and synaptic proteins (e.g., SYNGAP1, KCNQ2), have illuminated critical pathways underlying epilepsy susceptibility and pathogenesis. Genome-wide association studies (GWAS) have identified specific genetic variations linked to epilepsy risk, such as variants near SCN1A and PCDH7, enhancing diagnostic accuracy and enabling personalized treatment strategies. Moreover, epigenetic mechanisms, including DNA methylation (e.g., MBD5), histone modifications (e.g., HDACs), and non-coding RNAs (e.g., miR-134), play pivotal roles in altering gene expression and synaptic plasticity, contributing to epileptogenesis. These discoveries offer promising avenues for therapeutic interventions aimed at improving outcomes for epilepsy patients. Genetic testing has become essential in clinical practice, facilitating precise diagnosis and tailored management approaches based on individual genetic profiles. Furthermore, insights into epigenetic regulation suggest novel therapeutic targets for developing more effective epilepsy treatments. In summary, this review highlights significant progress in understanding the genetic and epigenetic foundations of epilepsy. By integrating findings from key studies and specifying genes involved in epigenetic modifications, we underscore the potential for advanced therapeutic strategies in this complex neurological disorder, emphasizing the importance of personalized medicine approaches in epilepsy management.
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Affiliation(s)
- Rekha Dwivedi
- Department of Neurology, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India
| | - Meenakshi Kaushik
- Department of Anatomy, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India
| | - Manjari Tripathi
- Department of Neurology, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India
| | - Rima Dada
- Department of Anatomy, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India
| | - Prabhakar Tiwari
- Department of Anatomy, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India.
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60
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Li C, Wang Y, Zeng C, Huang B, Chen Y, Xue C, Liu L, Rong S, Lin Y. Trio-whole exome sequencing reveals the importance of de novo variants in children with intellectual disability and developmental delay. Sci Rep 2024; 14:27590. [PMID: 39528574 PMCID: PMC11555314 DOI: 10.1038/s41598-024-79431-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 11/08/2024] [Indexed: 11/16/2024] Open
Abstract
Understanding the genetic basis of developmental delay (DD) and intellectual disability (ID) remains a considerable clinical challenge. This study evaluated the clinical application of trio whole exome sequencing (WES) in children diagnosed with DD/ID. The study comprised 173 children with unexplained DD/ID. The participants underwent trio-WES and their demographic, clinical, and genetic characteristics were evaluated. Based on their clinical features, the participants were classified into two groups for further analysis: a syndromic DD/ID group and a non-syndromic DD/ID group. The genetic diagnostic yield of the 173 children diagnosed with DD/ID was 49.7% (86/173). This included 58 pathogenic or likely pathogenic single nucleotide variants (SNVs) in 41 genes identified across 54 individuals (31.2%) through trio-WES. Among these, 22 SNVs had not been previously reported. Additionally, 30 copy number variations (CNVs) were detected in 36 individuals (20.8%). The diagnostic yield in the syndromic DD/ID group was higher than that in the non-syndromic DD/ID group (57.8% vs. 47.2%, P < 0.001). Within the syndromic DD/ID subgroup, the diagnostic yield of the DD/ID with epilepsy subgroup (83.9%) was significantly higher than those of the other subgroups (P < 0.001). Based on the analysis of the individuals' clinical phenotypes, the individuals with facial dysmorphism shown a higher diagnostic yield (68.2%, P < 0.001). The diagnostic yield of SNVs was higher in the individuals with DD/ID accompanied by epilepsy, whereas the diagnostic yield of CNVs was higher in the DD/ID without epilepsy group. Similarly, the diagnostic yield of de novo SNVs was higher in the DD/ID with epilepsy group, while the diagnostic yield of de novo CNVs was higher in the DD/ID without epilepsy group (all P < 0.001). Trio-WES is a crucial tool for the genetic diagnosis of DD/ID, demonstrating a diagnostic yield of up to 49.7%. De novo variants in autosomal dominant genes are significant contributors to DD/ID, particularly in non-consanguineous families.
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Affiliation(s)
- Chengyan Li
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, No. 57, Renmin Avenue (South), Xiashan, Zhanjiang, 524000, Guangdong Province, People's Republic of China
| | - You Wang
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, No. 57, Renmin Avenue (South), Xiashan, Zhanjiang, 524000, Guangdong Province, People's Republic of China
| | - Cizheng Zeng
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, No. 57, Renmin Avenue (South), Xiashan, Zhanjiang, 524000, Guangdong Province, People's Republic of China
| | - Binglong Huang
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, No. 57, Renmin Avenue (South), Xiashan, Zhanjiang, 524000, Guangdong Province, People's Republic of China
| | - Yinhui Chen
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, No. 57, Renmin Avenue (South), Xiashan, Zhanjiang, 524000, Guangdong Province, People's Republic of China
| | - Chupeng Xue
- Department of Pediatrics, Shantou Central Hospital, ShanTou, 515000, Guangdong Province, People's Republic of China
| | - Ling Liu
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, No. 57, Renmin Avenue (South), Xiashan, Zhanjiang, 524000, Guangdong Province, People's Republic of China
| | - Shiwen Rong
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, No. 57, Renmin Avenue (South), Xiashan, Zhanjiang, 524000, Guangdong Province, People's Republic of China
| | - Yongwen Lin
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, No. 57, Renmin Avenue (South), Xiashan, Zhanjiang, 524000, Guangdong Province, People's Republic of China.
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Sagi-Dain L, Levy M, Matar R, Kahana S, Agmon-Fishman I, Klein C, Gurevitch M, Basel-Salmon L, Maya I. Exploring the human genomic landscape: patterns of common homozygosity regions in a large middle eastern cohort. Hum Mol Genet 2024; 33:1908-1915. [PMID: 39222050 DOI: 10.1093/hmg/ddae123] [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: 04/18/2024] [Revised: 08/05/2024] [Accepted: 08/12/2024] [Indexed: 09/04/2024] Open
Abstract
Regions of Homozygosity (ROH) typically reflect normal demographic history of a human population, but may also relate to cryptic consanguinity, and, additionally, have been associated with specific medical conditions. The objective of this study was to investigate the location, size, and prevalence of common ROH segments in a Middle Eastern cohort. This retrospective study included 13 483 samples collected from all Chromosomal Microarray analyses (CMA) performed using Single Nucleotide Polymorphism (SNP) arrays at the genetic clinical laboratory of Rabin Medical Center between 2017-2023 (primary data set). An additional replication cohort including 100 842 samples from another SNP array platform, obtained from Maccabi Health Organization, was analyzed. Common ROH locations were defined as those ROH locations involving 1% or more of the samples. A total of 66 710 ROH segments, involving 13 035 samples (96.7%) were identified in the primary data set. Of the 4069 cytogenetic ROH locations, 68 were identified as common. The prevalence of non-common ROH was relatively high in affected individuals, and for acrocentric chromosomes, chromosomes associated with common trisomies, and non-imprinted chromosomes. In addition, differences in common ROH locations were observed between the primary and the replication cohorts. Our findings highlight the need for population-specific guidelines in determining ROH reporting cutoffs, considering factors such as population-specific prevalence and testing platform differences. Future research with larger, varied cohorts is essential to advance understanding of ROH's associations with medical conditions and to improve clinical practices accordingly.
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Affiliation(s)
- Lena Sagi-Dain
- Genetics Institute, Carmel Medical Center, affiliated to the Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Michal Levy
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
| | - Reut Matar
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
| | - Sarit Kahana
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
| | - Ifaat Agmon-Fishman
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
| | - Cochava Klein
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
| | - Merav Gurevitch
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
| | - Lina Basel-Salmon
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
- School of Medicine, Faculty of Medical and Health sciences, Tel Aviv University, Tel Aviv 6997801, Israel
- Pediatric Genetics Unit, Schneider Children's Medical Center of Israel, Petah Tikva 4920235, Israel
| | - Idit Maya
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
- School of Medicine, Faculty of Medical and Health sciences, Tel Aviv University, Tel Aviv 6997801, Israel
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Vos N, Kleinendorst L, van der Laan L, van Uhm J, Jansen PR, van Eeghen AM, Maas SM, Mannens MMAM, van Haelst MM. Evaluation of 100 Dutch cases with 16p11.2 deletion and duplication syndromes; from clinical manifestations towards personalized treatment options. Eur J Hum Genet 2024; 32:1387-1401. [PMID: 38605127 DOI: 10.1038/s41431-024-01601-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 03/03/2024] [Accepted: 03/20/2024] [Indexed: 04/13/2024] Open
Abstract
The 16p11.2 deletion syndrome is a clinically heterogeneous disorder, characterized by developmental delay, intellectual disability, hyperphagia, obesity, macrocephaly and psychiatric problems. Cases with 16p11.2 duplication syndrome have similar neurodevelopmental problems, but typically show a partial 'mirror phenotype' with underweight and microcephaly. Various copy number variants (CNVs) of the chromosomal 16p11.2 region have been described. Most is known about the 'typical' 16p11.2 BP4-BP5 (29.6-30.2 Mb; ~600 kb) deletions and duplications, but there are also several published cohorts with more distal 16p11.2 BP2-BP3 CNVs (28.8-29.0 Mb; ~220 kb), who exhibit clinical overlap. We assessed 100 cases with various pathogenic 16p11.2 CNVs and compared their clinical characteristics to provide more clear genotype-phenotype correlations and raise awareness of the different 16p11.2 CNVs. Neurodevelopmental and weight issues were reported in the majority of cases. Cases with distal 16p11.2 BP2-BP3 deletion showed the most severe obesity phenotype (73.7% obesity, mean BMI SDS 3.2). In addition to the more well defined typical 16p11.2 BP4-BP5 and distal 16p11.2 BP2-BP3 CNVs, we describe the clinical features of five cases with other, overlapping, 16p11.2 CNVs in more detail. Interestingly, four cases had a second genetic diagnosis and 18 cases an additional gene variant of uncertain significance, that could potentially help explain the cases' phenotypes. In conclusion, we provide an overview of our Dutch cohort of cases with various pathogenic 16p11.2 CNVs and relevant second genetic findings, that can aid in adequately recognizing, diagnosing and counseling of individuals with 16p11.2 CNVs, and describe the personalized medicine for cases with these conditions.
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Affiliation(s)
- Niels Vos
- Amsterdam UMC, University of Amsterdam, Department of Human Genetics, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development research institute, Amsterdam, The Netherlands
| | - Lotte Kleinendorst
- Amsterdam UMC, University of Amsterdam, Department of Human Genetics, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development research institute, Amsterdam, The Netherlands
- Amsterdam UMC, University of Amsterdam, Emma Center for Personalized Medicine, Meibergdreef 9, Amsterdam, The Netherlands
| | - Liselot van der Laan
- Amsterdam UMC, University of Amsterdam, Department of Human Genetics, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development research institute, Amsterdam, The Netherlands
| | - Jorrit van Uhm
- Amsterdam UMC, University of Amsterdam, Department of Human Genetics, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development research institute, Amsterdam, The Netherlands
| | - Philip R Jansen
- Amsterdam UMC, University of Amsterdam, Department of Human Genetics, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development research institute, Amsterdam, The Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, VU University, Amsterdam, the Netherlands
| | - Agnies M van Eeghen
- Emma Children's Hospital, University of Amsterdam, Amsterdam, The Netherlands
| | - Saskia M Maas
- Amsterdam UMC, University of Amsterdam, Department of Human Genetics, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development research institute, Amsterdam, The Netherlands
| | - Marcel M A M Mannens
- Amsterdam UMC, University of Amsterdam, Department of Human Genetics, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development research institute, Amsterdam, The Netherlands
| | - Mieke M van Haelst
- Amsterdam UMC, University of Amsterdam, Department of Human Genetics, Meibergdreef 9, Amsterdam, The Netherlands.
- Amsterdam Reproduction and Development research institute, Amsterdam, The Netherlands.
- Amsterdam UMC, University of Amsterdam, Emma Center for Personalized Medicine, Meibergdreef 9, Amsterdam, The Netherlands.
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63
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Mazzonetto PC, Villela D, Krepischi ACV, Pierry PM, Bonaldi A, Almeida LGD, Paula MG, Bürger MC, de Oliveira AG, Fonseca GGG, Giugliani R, Riegel-Giugliani M, Bertola D, Yamamoto GL, Passos-Bueno MR, Campos GDS, Machado ACD, Mazzeu JF, Perrone E, Zechi-Ceide RM, Kokitsu-Nakata NM, Vieira TP, Steiner CE, Gil-da-Silva-Lopes VL, Vieira DKR, Boy R, de Pina-Neto JM, Scapulatempo-Neto C, Milanezi F, Rosenberg C. Low-pass whole genome sequencing as a cost-effective alternative to chromosomal microarray analysis for low- and middle-income countries. Am J Med Genet A 2024; 194:e63802. [PMID: 38924610 DOI: 10.1002/ajmg.a.63802] [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: 04/08/2024] [Revised: 06/10/2024] [Accepted: 06/14/2024] [Indexed: 06/28/2024]
Abstract
Low-pass whole genome sequencing (LP-WGS) has been applied as alternative method to detect copy number variants (CNVs) in the clinical setting. Compared with chromosomal microarray analysis (CMA), the sequencing-based approach provides a similar resolution of CNV detection at a lower cost. In this study, we assessed the efficiency and reliability of LP-WGS as a more affordable alternative to CMA. A total of 1363 patients with unexplained neurodevelopmental delay/intellectual disability, autism spectrum disorders, and/or multiple congenital anomalies were enrolled. Those patients were referred from 15 nonprofit organizations and university centers located in different states in Brazil. The analysis of LP-WGS at 1x coverage (>50kb) revealed a positive testing result in 22% of the cases (304/1363), in which 219 and 85 correspond to pathogenic/likely pathogenic (P/LP) CNVs and variants of uncertain significance (VUS), respectively. The 16% (219/1363) diagnostic yield observed in our cohort is comparable to the 15%-20% reported for CMA in the literature. The use of commercial software, as demonstrated in this study, simplifies the implementation of the test in clinical settings. Particularly for countries like Brazil, where the cost of CMA presents a substantial barrier to most of the population, LP-WGS emerges as a cost-effective alternative for investigating copy number changes in cytogenetics.
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Affiliation(s)
- Patricia C Mazzonetto
- The Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil
- Diagnósticos da América S.A., DASA, São Paulo, Brazil
| | | | - Ana C V Krepischi
- The Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil
| | | | | | | | | | | | | | | | - Roberto Giugliani
- Diagnósticos da América S.A., DASA, São Paulo, Brazil
- Casa dos Raros - House of Rares, Centro de Atenção Integral e Treinamento em Doenças Raras, Porto Alegre, Brazil
- INAGEMP, Instituto Nacional de Genética Médica Populacional, Porto Alegre, Brazil
| | - Mariluce Riegel-Giugliani
- Casa dos Raros - House of Rares, Centro de Atenção Integral e Treinamento em Doenças Raras, Porto Alegre, Brazil
- INAGEMP, Instituto Nacional de Genética Médica Populacional, Porto Alegre, Brazil
| | - Débora Bertola
- Instituto da Criança, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Guilherme Lopes Yamamoto
- Diagnósticos da América S.A., DASA, São Paulo, Brazil
- Instituto da Criança, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Maria Rita Passos-Bueno
- The Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil
| | - Gabriele da Silva Campos
- The Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil
| | - Ana Claudia Dantas Machado
- The Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil
| | - Juliana F Mazzeu
- Faculdade de Medicina, Universidade de Brasília, Brasília, Brazil
| | - Eduardo Perrone
- Departamento de Morfologia e Genética, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Roseli M Zechi-Ceide
- Department of Clinical Genetics and Molecular Biology, Hospital for Rehabilitation of Craniofacial Anomalies, University of São Paulo, São Paulo, Brazil
| | - Nancy M Kokitsu-Nakata
- Department of Clinical Genetics and Molecular Biology, Hospital for Rehabilitation of Craniofacial Anomalies, University of São Paulo, São Paulo, Brazil
| | - Társis Paiva Vieira
- Department of Translational Medicine - Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas, São Paulo, Brazil
| | - Carlos Eduardo Steiner
- Department of Translational Medicine - Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas, São Paulo, Brazil
| | - Vera Lúcia Gil-da-Silva-Lopes
- Department of Translational Medicine - Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas, São Paulo, Brazil
| | - Daniela Koeller Rodrigues Vieira
- Municipal Secretary of Health of Angra dos Reis, Rio de Janeiro, Brazil
- National Institute of Women, Children and Adolescents Health Fernandes Figueira/Oswaldo Cruz Foundation (IFF/FIOCRUZ), Rio de Janeiro, Brazil
| | - Raquel Boy
- State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | | | | | - Carla Rosenberg
- The Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil
- Diagnósticos da América S.A., DASA, São Paulo, Brazil
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64
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Postma JK, Harrison MA, Kutcher S, Webster RJ, Cloutier M, Bourque DK, Yu AC, Carter MT. The diagnostic yield of genetic and metabolic investigations in syndromic and nonsyndromic patients with autism spectrum disorder, global developmental delay, or intellectual disability from a dedicated neurodevelopmental disorders genetics clinic. Am J Med Genet A 2024; 194:e63791. [PMID: 39031819 DOI: 10.1002/ajmg.a.63791] [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: 03/06/2024] [Revised: 05/01/2024] [Accepted: 06/05/2024] [Indexed: 07/22/2024]
Abstract
First-tier genetic investigations for patients with neurodevelopmental disorders (NDDs) may include chromosomal microarray, Fragile X testing, and screening for inherited metabolic diseases, but most remain undiagnosed upon completion of testing. Here, we report the diagnostic yields of genetic testing for 537 patients with at least one of autism spectrum disorder, global developmental delay, and/or intellectual disability. Patients were assessed in a single neurodevelopmental genetics clinic, and each underwent a standardized history and physical examination. Each patient was characterized as syndromic or nonsyndromic based on clinical features. Our results demonstrate that multigene sequencing (with an NDD gene panel or exome) had a higher diagnostic yield (8%; 95% confidence interval [CI]: 5%, 13%) than chromosomal microarray and Fragile X testing combined (4%; 95% CI: 3%, 7%). Biochemical screening for inherited metabolic diseases had a diagnostic yield of zero. The diagnostic yield of genetic testing was significantly higher for syndromic patients than for nonsyndromic patients (odds ratio [OR] 3.09; 95% CI: 1.46, 6.83) and higher for female patients than for male (OR 3.21; 95% CI: 1.52, 6.82). These results add to the growing evidence supporting a comprehensive genetic evaluation that includes both copy number analysis and sequencing of known NDD genes for patients with NDDs.
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Affiliation(s)
| | | | | | | | | | - Danielle K Bourque
- Division of Metabolics and Newborn Screening, Department of Pediatrics, CHEO, Ottawa, Ontario, Canada
| | - Andrea C Yu
- Division of Metabolics and Newborn Screening, Department of Pediatrics, CHEO, Ottawa, Ontario, Canada
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Garrido-Torres N, Marqués Rodríguez R, Alemany-Navarro M, Sánchez-García J, García-Cerro S, Ayuso MI, González-Meneses A, Martinez-Mir A, Ruiz-Veguilla M, Crespo-Facorro B. Exploring genetic testing requests, genetic alterations and clinical associations in a cohort of children with autism spectrum disorder. Eur Child Adolesc Psychiatry 2024; 33:3829-3840. [PMID: 38587680 PMCID: PMC11588872 DOI: 10.1007/s00787-024-02413-x] [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: 11/18/2023] [Accepted: 03/10/2024] [Indexed: 04/09/2024]
Abstract
Several studies show great heterogeneity in the type of genetic test requested and in the clinicopathological characteristics of patients with ASD. The following study aims, firstly, to explore the factors that might influence professionals' decisions about the appropriateness of requesting genetic testing for their patients with ASD and, secondly, to determine the prevalence of genetic alterations in a representative sample of children with a diagnosis of ASD. Methods: We studied the clinical factors associated with the request for genetic testing in a sample of 440 children with ASD and the clinical factors of present genetic alterations. Even though the main guidelines recommend genetic testing all children with an ASD diagnosis, only 56% of children with an ASD diagnosis were genetically tested. The prevalence of genetic alterations was 17.5%. These alterations were more often associated with intellectual disability and dysmorphic features. There are no objective data to explicitly justify the request for genetic testing, nor are there objective data to justify requesting one genetic study versus multiple studies. Remarkably, only 28% of males were genetically tested with the recommended tests (fragile X and CMA). Children with dysmorphic features and organic comorbidities were more likely to be genetic tested than those without. Previous diagnosis of ASD (family history of ASD) and attendance at specialist services were also associated with Genetically tested Autism Spectrum Disorder GTASD. Our findings emphasize the importance of establishing algorithms to facilitate targeted genetic consultation for individuals with ASD who are likely to benefit, considering clinical phenotypes, efficiency, ethics, and benefits.
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Affiliation(s)
- Nathalia Garrido-Torres
- Instituto de Biomedicina de Sevilla, Seville, Spain
- University of Seville, Seville, Spain
- CIBERSAM, ISCIII (Spanish Network for Research in Mental Health), Seville, Spain
- Hospital Universitario Virgen del Rocío, Seville, Spain
| | | | - María Alemany-Navarro
- Instituto de Biomedicina de Sevilla, Seville, Spain
- CIBERSAM, ISCIII (Spanish Network for Research in Mental Health), Seville, Spain
| | - Javier Sánchez-García
- Instituto de Biomedicina de Sevilla, Seville, Spain
- University of Seville, Seville, Spain
- Hospital Universitario Virgen del Rocío, Seville, Spain
- Department of Maternofetal Medicine, Genetics and Reproduction, Seville, Spain
- Spanish National Research Council (CSIC), Seville, Spain
- Center for Biomedical Network Research on Rare Diseases (CIBERER), Seville, Spain
| | - Susana García-Cerro
- Instituto de Biomedicina de Sevilla, Seville, Spain
- CIBERSAM, ISCIII (Spanish Network for Research in Mental Health), Seville, Spain
| | - María Irene Ayuso
- Instituto de Biomedicina de Sevilla, Seville, Spain
- CIBERSAM, ISCIII (Spanish Network for Research in Mental Health), Seville, Spain
| | | | - Amalia Martinez-Mir
- Instituto de Biomedicina de Sevilla, Seville, Spain
- University of Seville, Seville, Spain
- Hospital Universitario Virgen del Rocío, Seville, Spain
- Spanish National Research Council (CSIC), Seville, Spain
| | - Miguel Ruiz-Veguilla
- Instituto de Biomedicina de Sevilla, Seville, Spain
- University of Seville, Seville, Spain
- CIBERSAM, ISCIII (Spanish Network for Research in Mental Health), Seville, Spain
- Hospital Universitario Virgen del Rocío, Seville, Spain
| | - Benedicto Crespo-Facorro
- Instituto de Biomedicina de Sevilla, Seville, Spain.
- University of Seville, Seville, Spain.
- CIBERSAM, ISCIII (Spanish Network for Research in Mental Health), Seville, Spain.
- Hospital Universitario Virgen del Rocío, Seville, Spain.
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66
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Srivastava S, Cole JJ, Cohen JS, Chopra M, Smith HS, Deardorff MA, Pedapati E, Corner B, Anixt JS, Jeste S, Sahin M, Gurnett CA, Campbell CA. Survey of the Landscape of Society Practice Guidelines for Genetic Testing of Neurodevelopmental Disorders. Ann Neurol 2024; 96:900-913. [PMID: 39319594 PMCID: PMC11496025 DOI: 10.1002/ana.27045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 07/09/2024] [Accepted: 07/15/2024] [Indexed: 09/26/2024]
Abstract
Genetic testing of patients with neurodevelopmental disabilities (NDDs) is critical for diagnosis, medical management, and access to precision therapies. Because genetic testing approaches evolve rapidly, professional society practice guidelines serve an essential role in guiding clinical care; however, several challenges exist regarding the creation and equitable implementation of these guidelines. In this scoping review, we assessed the current state of United States professional societies' guidelines pertaining to genetic testing for unexplained global developmental delay, intellectual disability, autism spectrum disorder, and cerebral palsy. We describe several identified shortcomings and argue the need for a unified, frequently updated, and easily-accessible cross-specialty society guideline. ANN NEUROL 2024;96:900-913.
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Affiliation(s)
- Siddharth Srivastava
- Department of Neurology, Rosamund Stone Zander Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School
| | | | - Julie S. Cohen
- Department of Neurology and Developmental Medicine, Kennedy Krieger Institute; Department of Neurology, Johns Hopkins School of Medicine
| | - Maya Chopra
- Department of Neurology, Rosamund Stone Zander Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School
| | - Hadley Stevens Smith
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute
| | - Matthew A. Deardorff
- Department of Pathology and Pediatrics, Keck School of Medicine of USC, Children’s Hospital Los Angeles
| | - Ernest Pedapati
- Department of Psychiatry and Behavioral Neuroscience, Cincinnati Children’s Hospital
| | - Brian Corner
- Department of Pediatrics and Genetics, Vanderbilt University Medical Center
| | - Julia S. Anixt
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati Children’s Hospital
| | - Shafali Jeste
- Department of Neurology, Keck School of Medicine of USC, Children’s Hospital Los Angeles
| | - Mustafa Sahin
- Department of Neurology, Rosamund Stone Zander Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School
| | | | - Colleen A. Campbell
- Department of Internal Medicine, University of Iowa, Carver College of Medicine
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Yin L, Wang J, Zhang B, Wang W, Yu B. Postnatal Outcomes of Fetal Variants of Unknown Significance in Prenatal Chromosomal Microarray Analysis: A Single-Center Study. Fetal Diagn Ther 2024:1-8. [PMID: 39427638 DOI: 10.1159/000542147] [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: 05/28/2024] [Accepted: 10/11/2024] [Indexed: 10/22/2024]
Abstract
INTRODUCTION Chromosomal microarray analysis (CMA) can identify clinically significant microdeletions and microduplications, providing valuable insights into the genetic basis of various disorders. Our study was to evaluate clinical management and prognosis of fetuses with prenatal variants of unknown significance (VOUS) and determine diagnostic approaches for subsequent pregnancies. METHODS This study included 2,953 fetuses undergoing CMA at the Prenatal Diagnostic Center of Changzhou Maternal and Child Health Care Hospital from January 2018 to December 2022, identifying 162 cases with VOUS. Parent-of-origin testing determined the origin of copy number variations. Prenatal genetic counseling was provided, and outcomes were followed for 3-36 months post-birth. RESULTS All 162 VOUS cases received prenatal genetic counseling. Among these, 123 continued the pregnancy; 22 chose termination, and 17 were lost to follow-up. Of the continuations, 116 delivered at term and 7 preterm. Post-birth follow-up showed 5/123 live-born fetuses developed relevant clinical phenotypes. Parent-of-origin testing in 21 cases identified 18 hereditary and 3 de novo variants. Additionally, five subsequent pregnancies were monitored, with two undergoing amniocentesis and three receiving low-risk noninvasive prenatal testing, all with positive outcomes. CONCLUSION VOUS, occurring in approximately 5% of cases, require comprehensive prenatal genetic counseling and show generally favorable outcomes. Despite low association with adverse clinical phenotypes, the importance of postnatal follow-up and regular report updates is emphasized to detect potential clinical associations early.
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Affiliation(s)
- Lizhong Yin
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center of Nanjing Medical University, Changzhou, China
| | - Jing Wang
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center of Nanjing Medical University, Changzhou, China
| | - Bin Zhang
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center of Nanjing Medical University, Changzhou, China
| | - Wenli Wang
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center of Nanjing Medical University, Changzhou, China
| | - Bin Yu
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center of Nanjing Medical University, Changzhou, China
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68
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Copeland H, Low KJ, Wynn SL, Ahmed A, Arthur V, Balasubramanian M, Bennett K, Berg J, Bertoli M, Bryson L, Bucknall C, Campbell J, Chandler K, Chauhan J, Clarkson A, Coles R, Conti H, Costello P, Coupar T, Craig A, Dean J, Dillon A, Dixit A, Drew K, Eason J, Forzano F, Foulds N, Gardham A, Ghali N, Green A, Hanna W, Harrison R, Hegarty M, Higgs J, Holder M, Irving R, Jain V, Johnson K, Jolley R, Jones WD, Jones G, Joss S, Kalinauskiene R, Kanani F, Kavanagh K, Khan M, Khan N, Kivuva E, Lahiri N, Lakhani N, Lampe A, Lynch SA, Mansour S, Marsden A, Massey H, McKee S, Mohammed S, Naik S, Nesarajah M, Newbury-Ecob R, Osborne F, Parker MJ, Patterson J, Pottinger C, Prapa M, Prescott K, Quinn S, Radley JA, Robart S, Ross A, Rosti G, Sansbury FH, Sarkar A, Searle C, Shannon N, Shears D, Smithson S, Stewart H, Suri M, Tadros S, Theobald R, Thomas R, Tsoulaki O, Vasudevan P, Rodriguez MV, Vittery E, Whyte S, Woods E, Wright T, Zocche D, Firth HV, Wright CF, the DDD Study 28. Large-scale evaluation of outcomes after a genetic diagnosis in children with severe developmental disorders. GENETICS IN MEDICINE OPEN 2024; 2:101864. [PMID: 39822267 PMCID: PMC11736166 DOI: 10.1016/j.gimo.2024.101864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 06/19/2024] [Accepted: 06/20/2024] [Indexed: 01/19/2025]
Abstract
Purpose We sought to evaluate outcomes for clinical management after a genetic diagnosis from the Deciphering Developmental Disorders study. Methods Individuals in the Deciphering Developmental Disorders study who had a pathogenic/likely pathogenic genotype in the DECIPHER database were selected for inclusion (n = 5010). Clinical notes from regional clinical genetics services notes were reviewed to assess predefined clinical outcomes relating to interventions, prenatal choices, and information provision. Results Outcomes were recorded for 4237 diagnosed probands (85% of those eligible) from all 24 recruiting centers across the United Kingdom and Ireland. Clinical management was reported to have changed in 28% of affected individuals. Where individual-level interventions were recorded, additional diagnostic or screening tests were started in 903 (21%) probands through referral to a range of different clinical specialties, and stopped or avoided in a further 26 (0.6%). Disease-specific treatment was started in 85 (2%) probands, including seizure-control medications and dietary supplements, and contra-indicated medications were stopped or avoided in a further 20 (0.5%). The option of prenatal/preimplantation genetic testing was discussed with 1204 (28%) families, despite the relatively advanced age of the parents at the time of diagnosis. Importantly, condition-specific information or literature was given to 3214 (76%) families, and 880 (21%) were involved in family support groups. In the most common condition (KBG syndrome; 79 [2%] probands), clinical interventions only partially reflected the temporal development of phenotypes, highlighting the importance of consensus management guidelines and patient support groups. Conclusion Our results underscore the importance of achieving a clinico-molecular diagnosis to ensure timely onward referral of patients, enabling appropriate care and anticipatory surveillance, and for accessing relevant patient support groups.
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Affiliation(s)
- Harriet Copeland
- Peninsula Clinical Genetics, Clinical Genetics, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom
| | - Karen J. Low
- Bristol Regional Clinical Genetics Service, Level B, St Michael’s Hospital, Bristol, United Kingdom
- Centre for Academic Child Health, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Sarah L. Wynn
- Unique (Rare Chromosome Disorder Support Group), Oxted, Surrey, United Kingdom
| | - Ayesha Ahmed
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Victoria Arthur
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
| | - Meena Balasubramanian
- Sheffield Clinical Genomics Service, Sheffield Children’s NHS Foundation Trust, Sheffield, United Kingdom
| | - Katya Bennett
- Liverpool Centre for Genomic Medicine, Liverpool Women’s Hospital, Liverpool, United Kingdom
| | - Jonathan Berg
- Clinical Genetics, Human Genetics Unit, Ninewells Hospital, Dundee, United Kingdom
| | - Marta Bertoli
- Northern Genetics Service, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Genetic Medicine, International Centre for Life, Newcastle upon Tyne, United Kingdom
| | - Lisa Bryson
- West of Scotland Centre for Genomic Medicine, Laboratory Medicine Building, Queen Elizabeth University Hospital, Glasgow, United Kingdom
| | - Catrin Bucknall
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Jamie Campbell
- North of Scotland Regional Genetics Service, Clinical Genetics Centre, Ashgrove House, Aberdeen Royal Infirmary, Foresterhill, Aberdeen, United Kingdom
| | - Kate Chandler
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
| | - Jaynee Chauhan
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital, Leeds, United Kingdom
| | - Amy Clarkson
- Northern Genetics Service, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Genetic Medicine, International Centre for Life, Newcastle upon Tyne, United Kingdom
| | - Rachel Coles
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Northwick Park Hospital, Harrow, United Kingdom
| | - Hector Conti
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Philandra Costello
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, United Kingdom
| | - Tessa Coupar
- Clinical Genetics, Human Genetics Unit, Ninewells Hospital, Dundee, United Kingdom
| | - Amy Craig
- South West Thames Centre for Genomics, St. George's University Hospital, Tooting, London, United Kingdom
| | - John Dean
- North of Scotland Regional Genetics Service, Clinical Genetics Centre, Ashgrove House, Aberdeen Royal Infirmary, Foresterhill, Aberdeen, United Kingdom
| | - Amy Dillon
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
| | - Abhijit Dixit
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Kathryn Drew
- West Midlands Regional Genetics Service, Department of Clinical Genetics, Birmingham Women’s Hospital, Edgbaston, United Kingdom
| | - Jacqueline Eason
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Francesca Forzano
- Department of Clinical Genetics, Guy's Hospital, London, United Kingdom
| | - Nicola Foulds
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, United Kingdom
| | - Alice Gardham
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Northwick Park Hospital, Harrow, United Kingdom
| | - Neeti Ghali
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Northwick Park Hospital, Harrow, United Kingdom
| | - Andrew Green
- Department of Clinical Genetics, Children’s Health Ireland, Crumlin, Ireland
| | - William Hanna
- Northern Ireland Regional Genetics Service, Medical Genetics Department, Belfast City Hospital, Belfast, United Kingdom
| | - Rachel Harrison
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Mairead Hegarty
- Northern Ireland Regional Genetics Service, Medical Genetics Department, Belfast City Hospital, Belfast, United Kingdom
| | - Jenny Higgs
- Liverpool Centre for Genomic Medicine, Liverpool Women’s Hospital, Liverpool, United Kingdom
| | - Muriel Holder
- Department of Clinical Genetics, Guy's Hospital, London, United Kingdom
| | - Rachel Irving
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Vani Jain
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Katie Johnson
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Rachel Jolley
- West Midlands Regional Genetics Service, Department of Clinical Genetics, Birmingham Women’s Hospital, Edgbaston, United Kingdom
| | - Wendy D. Jones
- North East Thames Regional Genetics Service, Clinical Genetics Unit, Great Ormond Street Hospital NHS Trust, London, United Kingdom
| | - Gabriela Jones
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Shelagh Joss
- West of Scotland Centre for Genomic Medicine, Laboratory Medicine Building, Queen Elizabeth University Hospital, Glasgow, United Kingdom
| | | | - Farah Kanani
- Sheffield Clinical Genomics Service, Sheffield Children’s NHS Foundation Trust, Sheffield, United Kingdom
| | - Karl Kavanagh
- Department of Clinical Genetics, Children’s Health Ireland, Crumlin, Ireland
| | - Mahmudur Khan
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Northwick Park Hospital, Harrow, United Kingdom
| | - Naz Khan
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
| | - Emma Kivuva
- Peninsula Clinical Genetics, Clinical Genetics, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom
| | - Nayana Lahiri
- South West Thames Centre for Genomics, St. George's University Hospital, Tooting, London, United Kingdom
| | - Neeta Lakhani
- Leicestershire, Northamptonshire and Rutland Genomic Medicine Service, Leicester Royal Infirmary, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom
| | - Anne Lampe
- South East Scotland Clinical Genetics Service, Western General Hospital, Edinburgh, United Kingdom
| | - Sally Ann Lynch
- Department of Clinical Genetics, Children’s Health Ireland, Crumlin, Ireland
| | - Sahar Mansour
- South West Thames Centre for Genomics, St. George's University Hospital, Tooting, London, United Kingdom
| | - Alice Marsden
- Liverpool Centre for Genomic Medicine, Liverpool Women’s Hospital, Liverpool, United Kingdom
| | - Hannah Massey
- North of Scotland Regional Genetics Service, Clinical Genetics Centre, Ashgrove House, Aberdeen Royal Infirmary, Foresterhill, Aberdeen, United Kingdom
| | - Shane McKee
- Northern Ireland Regional Genetics Service, Medical Genetics Department, Belfast City Hospital, Belfast, United Kingdom
| | - Shehla Mohammed
- Department of Clinical Genetics, Guy's Hospital, London, United Kingdom
| | - Swati Naik
- West Midlands Regional Genetics Service, Department of Clinical Genetics, Birmingham Women’s Hospital, Edgbaston, United Kingdom
| | - Mithushanaa Nesarajah
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
| | - Ruth Newbury-Ecob
- Bristol Regional Clinical Genetics Service, Level B, St Michael’s Hospital, Bristol, United Kingdom
| | - Fiona Osborne
- South East Scotland Clinical Genetics Service, Western General Hospital, Edinburgh, United Kingdom
| | - Michael J. Parker
- Sheffield Clinical Genomics Service, Sheffield Children’s NHS Foundation Trust, Sheffield, United Kingdom
| | - Jenny Patterson
- West of Scotland Centre for Genomic Medicine, Laboratory Medicine Building, Queen Elizabeth University Hospital, Glasgow, United Kingdom
| | - Caroline Pottinger
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Matina Prapa
- East Anglian Medical Genetics Service, Clinical Genetics, Addenbrooke’s Treatment Centre, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - Katrina Prescott
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital, Leeds, United Kingdom
| | - Shauna Quinn
- Department of Clinical Genetics, Children’s Health Ireland, Crumlin, Ireland
| | - Jessica A. Radley
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Northwick Park Hospital, Harrow, United Kingdom
| | - Sarah Robart
- North East Thames Regional Genetics Service, Clinical Genetics Unit, Great Ormond Street Hospital NHS Trust, London, United Kingdom
| | - Alison Ross
- North of Scotland Regional Genetics Service, Clinical Genetics Centre, Ashgrove House, Aberdeen Royal Infirmary, Foresterhill, Aberdeen, United Kingdom
| | - Giulia Rosti
- Department of Clinical Genetics, Guy's Hospital, London, United Kingdom
| | - Francis H. Sansbury
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Ajoy Sarkar
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Claire Searle
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Nora Shannon
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Debbie Shears
- Oxford Centre for Genomic Medicine, Department of Clinical Genetics, Churchill Hospital, Headington, Oxford, United Kingdom
| | - Sarah Smithson
- Bristol Regional Clinical Genetics Service, Level B, St Michael’s Hospital, Bristol, United Kingdom
| | - Helen Stewart
- Oxford Centre for Genomic Medicine, Department of Clinical Genetics, Churchill Hospital, Headington, Oxford, United Kingdom
| | - Mohnish Suri
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Shereen Tadros
- North East Thames Regional Genetics Service, Clinical Genetics Unit, Great Ormond Street Hospital NHS Trust, London, United Kingdom
| | - Rachel Theobald
- Northern Genetics Service, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Genetic Medicine, International Centre for Life, Newcastle upon Tyne, United Kingdom
| | - Rhian Thomas
- South West Thames Centre for Genomics, St. George's University Hospital, Tooting, London, United Kingdom
| | - Olga Tsoulaki
- Sheffield Clinical Genomics Service, Sheffield Children’s NHS Foundation Trust, Sheffield, United Kingdom
| | - Pradeep Vasudevan
- Leicestershire, Northamptonshire and Rutland Genomic Medicine Service, Leicester Royal Infirmary, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom
| | | | - Emma Vittery
- Northern Genetics Service, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Genetic Medicine, International Centre for Life, Newcastle upon Tyne, United Kingdom
| | - Sinead Whyte
- North East Thames Regional Genetics Service, Clinical Genetics Unit, Great Ormond Street Hospital NHS Trust, London, United Kingdom
| | - Emily Woods
- Sheffield Clinical Genomics Service, Sheffield Children’s NHS Foundation Trust, Sheffield, United Kingdom
| | - Thomas Wright
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
| | - David Zocche
- Oxford Centre for Genomic Medicine, Department of Clinical Genetics, Churchill Hospital, Headington, Oxford, United Kingdom
| | - Helen V. Firth
- East Anglian Medical Genetics Service, Clinical Genetics, Addenbrooke’s Treatment Centre, Addenbrooke’s Hospital, Cambridge, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Caroline F. Wright
- Department of Clinical and Biomedical Sciences, Medical School, University of Exeter, St Luke’s Campus, Exeter, United Kingdom
| | - the DDD Study28
- Peninsula Clinical Genetics, Clinical Genetics, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom
- Bristol Regional Clinical Genetics Service, Level B, St Michael’s Hospital, Bristol, United Kingdom
- Centre for Academic Child Health, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Unique (Rare Chromosome Disorder Support Group), Oxted, Surrey, United Kingdom
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
- Sheffield Clinical Genomics Service, Sheffield Children’s NHS Foundation Trust, Sheffield, United Kingdom
- Liverpool Centre for Genomic Medicine, Liverpool Women’s Hospital, Liverpool, United Kingdom
- Clinical Genetics, Human Genetics Unit, Ninewells Hospital, Dundee, United Kingdom
- Northern Genetics Service, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Genetic Medicine, International Centre for Life, Newcastle upon Tyne, United Kingdom
- West of Scotland Centre for Genomic Medicine, Laboratory Medicine Building, Queen Elizabeth University Hospital, Glasgow, United Kingdom
- North of Scotland Regional Genetics Service, Clinical Genetics Centre, Ashgrove House, Aberdeen Royal Infirmary, Foresterhill, Aberdeen, United Kingdom
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital, Leeds, United Kingdom
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Northwick Park Hospital, Harrow, United Kingdom
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, United Kingdom
- South West Thames Centre for Genomics, St. George's University Hospital, Tooting, London, United Kingdom
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
- West Midlands Regional Genetics Service, Department of Clinical Genetics, Birmingham Women’s Hospital, Edgbaston, United Kingdom
- Department of Clinical Genetics, Guy's Hospital, London, United Kingdom
- Department of Clinical Genetics, Children’s Health Ireland, Crumlin, Ireland
- Northern Ireland Regional Genetics Service, Medical Genetics Department, Belfast City Hospital, Belfast, United Kingdom
- North East Thames Regional Genetics Service, Clinical Genetics Unit, Great Ormond Street Hospital NHS Trust, London, United Kingdom
- Leicestershire, Northamptonshire and Rutland Genomic Medicine Service, Leicester Royal Infirmary, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom
- South East Scotland Clinical Genetics Service, Western General Hospital, Edinburgh, United Kingdom
- East Anglian Medical Genetics Service, Clinical Genetics, Addenbrooke’s Treatment Centre, Addenbrooke’s Hospital, Cambridge, United Kingdom
- Oxford Centre for Genomic Medicine, Department of Clinical Genetics, Churchill Hospital, Headington, Oxford, United Kingdom
- Department of Clinical and Biomedical Sciences, Medical School, University of Exeter, St Luke’s Campus, Exeter, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
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69
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Sun H, Zhang G, Li N, Bu X. Molecular diagnosis of patients with syndromic short stature identified by trio whole-exome sequencing. Front Genet 2024; 15:1399186. [PMID: 39415983 PMCID: PMC11479978 DOI: 10.3389/fgene.2024.1399186] [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: 03/11/2024] [Accepted: 09/16/2024] [Indexed: 10/19/2024] Open
Abstract
Background Short stature is a complex disorder with phenotypic and genetic heterogeneity. This study aimed to investigate clinical phenotypes and molecular basis of a cohort of patients with short stature. Methods Trio whole-exome sequencing (Trio-WES) was performed to explore the genetic aetiology and obtain a molecular diagnosis in twenty Chinese probands with syndromic and isolated short stature. Results Of the twenty probands, six (6/20, 30%) patients with syndromic short stature obtained a molecular diagnosis. One novel COMP pathogenic variant c.1359delC, p.N453fs*62 and one LZTR1 likely pathogenic variant c.509G>A, p.R170Q were identified in a patient with short stature and skeletal dysplasia. One novel de novo NAA15 pathogenic variant c.63T>G, p.Y21X and one novel de novo KMT2A pathogenic variant c.3516T>A, p.N1172K was identified in two probands with short stature, intellectual disability and abnormal behaviours, respectively. One patient with short stature, cataract, and muscle weakness had a de novo POLG pathogenic variant c.2863 T>C, p.Y955H. One PHEX pathogenic variant c.1104G>A, p.W368X was identified in a patient with short stature and rickets. Maternal uniparental disomy 7 (mUPD7) was pathogenic in a patient with pre and postnatal growth retardation, wide forehead, triangular face, micrognathia and clinodactyly. Thirteen patients with isolated short stature had negative results. Conclusion Trio-WES is an important strategy for identifying genetic variants and UPD in patients with syndromic short stature, in which dual genetic variants are existent in some individuals. It is important to differentiate between syndromic and isolated short stature. Genetic testing has a high yield for syndromic patients but low for isolated patients.
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Affiliation(s)
- Huihui Sun
- Department of Paediatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Geng Zhang
- Beijing Chigene Translational Medical Research Center Company, Beijing, China
| | - Na Li
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Xiangfang Bu
- Department of Paediatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
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70
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Pande S, Majethia P, Nair K, Rao LP, Mascarenhas S, Kaur N, do Rosario MC, Neethukrishna K, Chaurasia A, Hunakunti B, Jadhav N, Xavier S, Kumar J, Bhat V, Bhavani GS, Narayanan DL, Yatheesha BL, Patil SJ, Nampoothiri S, Kamath N, Aroor S, Bhat Y R, Lewis LE, Sharma S, Bajaj S, Sankhyan N, Siddiqui S, Nayak SS, Bielas S, Girisha KM, Shukla A. De novo variants underlying monogenic syndromes with intellectual disability in a neurodevelopmental cohort from India. Eur J Hum Genet 2024; 32:1291-1298. [PMID: 38114583 PMCID: PMC7616498 DOI: 10.1038/s41431-023-01513-7] [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: 06/29/2023] [Revised: 09/21/2023] [Accepted: 11/27/2023] [Indexed: 12/21/2023] Open
Abstract
The contribution of de novo variants as a cause of intellectual disability (ID) is well established in several cohorts reported from the developed world. However, the genetic landscape as well as the appropriate testing strategies for identification of de novo variants of these disorders remain largely unknown in low-and middle-income countries like India. In this study, we delineate the clinical and genotypic spectrum of 54 families (55 individuals) with syndromic ID harboring rare de novo variants. We also emphasize on the effectiveness of singleton exome sequencing as a valuable tool for diagnosing these disorders in resource limited settings. Overall, 46 distinct disorders were identified encompassing 46 genes with 51 single-nucleotide variants and/or indels and two copy-number variants. Pathogenic variants were identified in CREBBP, TSC2, KMT2D, MECP2, IDS, NIPBL, NSD1, RIT1, SOX10, BRWD3, FOXG1, BCL11A, KDM6B, KDM5C, SETD5, QRICH1, DCX, SMARCD1, ASXL1, ASXL3, AKT3, FBN2, TCF12, WASF1, BRAF, SMARCA4, SMARCA2, TUBG1, KMT2A, CTNNB1, DLG4, MEIS2, GATAD2B, FBXW7, ANKRD11, ARID1B, DYNC1H1, HIVEP2, NEXMIF, ZBTB18, SETD1B, DYRK1A, SRCAP, CASK, L1CAM, and KRAS. Twenty-four of these monogenic disorders have not been previously reported in the Indian population. Notably, 39 out of 53 (74%) disease-causing variants are novel. These variants were identified in the genes mainly encoding transcriptional and chromatin regulators, serine threonine kinases, lysosomal enzymes, molecular motors, synaptic proteins, neuronal migration machinery, adhesion molecules, structural proteins and signaling molecules.
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Affiliation(s)
- Shruti Pande
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Purvi Majethia
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Karthik Nair
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Lakshmi Priya Rao
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Selinda Mascarenhas
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Namanpreet Kaur
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Michelle C do Rosario
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Kausthubham Neethukrishna
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Ankur Chaurasia
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, United Kingdom
| | - Bhagesh Hunakunti
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Nalesh Jadhav
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Sruthy Xavier
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Jeevan Kumar
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Vivekananda Bhat
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Gandham SriLakshmi Bhavani
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Dhanya Lakshmi Narayanan
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - B L Yatheesha
- Dheemahi Child Neurology and Development Center, Shivamogga, India
| | - Siddaramappa J Patil
- Division of Medical Genetics, Mazumdar Shaw Medical Center, Narayana Hrudayalaya Hospitals, Bangalore, India
| | - Sheela Nampoothiri
- Department of Pediatric Genetics, Amrita Institute of Medical Sciences & Research Centre, Cochin, India
| | - Nutan Kamath
- Department of Paediatrics, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India
| | - Shrikiran Aroor
- Department of Paediatrics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Ramesh Bhat Y
- Department of Paediatrics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Leslie E Lewis
- Department of Paediatrics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Suvasini Sharma
- Neurology Division, Department of Pediatrics, Lady Hardinge Medical College and Associated Kalawati Saran Children's Hospital, New Delhi, India
| | | | - Naveen Sankhyan
- Pediatric Neurology Unit, Department of Pediatrics, Advanced Pediatrics Centre, Postgraduate Institute of Medical Education & Research, Chandigarh, India
| | - Shahyan Siddiqui
- Department of Neuro and Vascular Interventional Radiology, Yashoda Hospitals, Secunderabad, Hyderabad, India
| | - Shalini S Nayak
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Stephanie Bielas
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, United States of America
| | - Katta Mohan Girisha
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
- Suma Genomics Private Limited, Manipal Center for Biotherapeutics Research, Manipal Academy of Higher Education, Manipal, India
- Department of Genetics, College of Medicine & Health Sciences, Sultan Qaboos University, Muscat, Oman
| | - Anju Shukla
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India.
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Atique Tacla M, de Mello Copelli M, Pairet E, Monlleó IL, Ribeiro EM, Lustosa Mendes E, Helaers R, Vieira TP, Vikkula M, Gil-da-Silva-Lopes VL. Molecular investigation in individuals with orofacial clefts and microphthalmia-anophthalmia-coloboma spectrum. Eur J Hum Genet 2024; 32:1257-1266. [PMID: 37932364 PMCID: PMC11499658 DOI: 10.1038/s41431-023-01488-5] [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: 03/03/2023] [Revised: 09/29/2023] [Accepted: 10/18/2023] [Indexed: 11/08/2023] Open
Abstract
This study describes genomic findings among individuals with both orofacial clefts (OC) and microphthalmia/anophthalmia/coloboma (MAC) recorded in the Brazilian Database on Craniofacial Anomalies (BDCA). Chromosomal microarray analysis (CMA) and Whole Exome Sequencing (WES) were performed in 17 individuals with OC-MAC. Clinical interpretation of molecular findings was based on data available at the BDCA and on re-examination. No copy number variants (CNVs) classified as likely pathogenic or pathogenic were detected by CMA. WES allowed a conclusive diagnosis in six individuals (35.29%), two of them with variants in the CHD7 gene, and the others with variants in the TFAP2A, POMT1, PTPN11, and TP63 genes with the following syndromes: CHARGE, CHD7-spectrum, Branchiooculofacial, POMT1-spectrum, LEOPARD, and ADULT. Variants of uncertain significance (VUS) possibly associated to the phenotypes were found in six other individuals. Among the individuals with VUSes, three individuals presented variants in genes associated to defects of cilia structure and/or function, including DYNC2H1, KIAA0586, WDR34, INTU, RPGRIP1L, KIF7, and LMNA. These results show that WES was the most effective molecular approach for OC-MAC in this cohort. This study also reinforces the genetic heterogeneity of OC-MAC, and the importance of genes related to ciliopathies in this phenotype.
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Affiliation(s)
- Milena Atique Tacla
- Department of Translational Medicine, Area of Medical Genetics and Genomic Medicine, University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Matheus de Mello Copelli
- Department of Translational Medicine, Area of Medical Genetics and Genomic Medicine, University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Eleonore Pairet
- Human Molecular Genetics, de Duve Institute, Université Catholique de Louvain, Brussels, Belgium
| | - Isabella Lopes Monlleó
- Clinical Genetics Service, University Hospital, Medical Genetics Sector, Faculty of Medicine, Federal University of Alagoas - UFAL, Maceió, AL, Brazil
| | | | | | - Raphaël Helaers
- Human Molecular Genetics, de Duve Institute, Université Catholique de Louvain, Brussels, Belgium
| | - Tarsis Paiva Vieira
- Department of Translational Medicine, Area of Medical Genetics and Genomic Medicine, University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Miikka Vikkula
- Human Molecular Genetics, de Duve Institute, Université Catholique de Louvain, Brussels, Belgium
| | - Vera Lúcia Gil-da-Silva-Lopes
- Department of Translational Medicine, Area of Medical Genetics and Genomic Medicine, University of Campinas (UNICAMP), Campinas, SP, Brazil.
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72
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Lee E, Orton K, Langton M, Irving J, Evans K. Clinical validation of an abbreviated karyotype analysis protocol for fertility evaluation. Pathology 2024; 56:874-881. [PMID: 39060196 DOI: 10.1016/j.pathol.2024.04.010] [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: 10/12/2023] [Revised: 03/20/2024] [Accepted: 04/24/2024] [Indexed: 07/28/2024]
Abstract
Conventional G-banded karyotype is an essential tool for detecting chromosomal variants in patients undergoing fertility evaluation. In Australia, 15 cells are traditionally analysed or counted, to enhance detection of mosaic chromosomal variants. However, this protocol is not backed by clinical evidence. This study aims to assess the test performance of an abbreviated 5-cell karyotype analysis protocol in adult patients undergoing fertility evaluation. A retrospective review of 53,293 blood karyotype tests, performed between 2019 and 2023, was conducted on a patient cohort primarily referred by reproductive endocrinology specialists. There were 513 variants reported in this cohort. Low level mosaic variants, where the variant was observed in less than 40% of cells, were reported in 13 cases, or one in 4,100 patients. Due to reduced sensitivity for low level mosaic variants, a 5-cell protocol is estimated to have a test sensitivity of 97.3% and a negative predictive value of 99.97%. A decision-making flowchart is proposed and we show that additional chromosome analysis and/or counts would be triggered in fewer than one in 10 cases using a 5-cell protocol, whilst remaining appropriate for detecting clinically significant mosaicism. A 5-cell karyotype analysis protocol therefore maintains analytical and clinical validity in adult patients undergoing fertility-related blood karyotyping. Future research is recommended to validate these findings across laboratories and to explore their application to other clinical contexts.
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Affiliation(s)
- Eric Lee
- Cytogenetics Department, Virtus Diagnostics, Milton, Qld, Australia; Molecular Genetics Department, Virtus Diagnostics, Revesby, NSW, Australia.
| | - Kaylee Orton
- Molecular Genetics Department, Virtus Diagnostics, Revesby, NSW, Australia
| | - Meg Langton
- Cytogenetics Department, Virtus Diagnostics, Milton, Qld, Australia
| | - Jodi Irving
- Cytogenetics Department, Virtus Diagnostics, Milton, Qld, Australia
| | - Ken Evans
- Cytogenetics Department, Virtus Diagnostics, Milton, Qld, Australia
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73
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Vaseghi P, Habibi L, Neidich JA, Cao Y, Fattahi N, Rashidi-Nezhad R, Salehnezhad T, Dalili H, Rahimi Sharbaf F, Zarkesh MR, Malekian M, Mokhberdezfuli M, Mehrtash A, Ardeshirdavani A, Kariminejad R, Ghorbansabagh V, Sadeghimoghadam P, Naddaf A, Esmaeilnia Shirvany T, Mosayebi Z, Sahebdel B, Golshahi F, Shirazi M, Shamel S, Moeini R, Heidari A, Daneshmand MA, Ghasemi R, Akrami SM, Rashidi-Nezhad A. Towards solving the genetic diagnosis odyssey in Iranian patients with congenital anomalies. Eur J Hum Genet 2024; 32:1238-1249. [PMID: 38278869 PMCID: PMC11499880 DOI: 10.1038/s41431-024-01533-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 11/23/2023] [Accepted: 12/12/2023] [Indexed: 01/28/2024] Open
Abstract
Understanding the underlying causes of congenital anomalies (CAs) can be a complex diagnostic journey. We aimed to assess the efficiency of exome sequencing (ES) and chromosomal microarray analysis (CMA) in patients with CAs among a population with a high fraction of consanguineous marriage. Depending on the patient's symptoms and family history, karyotype/Quantitative Fluorescence- Polymerase Chain Reaction (QF-PCR) (n = 84), CMA (n = 81), ES (n = 79) or combined CMA and ES (n = 24) were performed on 168 probands (66 prenatal and 102 postnatal) with CAs. Twelve (14.28%) probands were diagnosed by karyotype/QF-PCR and seven (8.64%) others were diagnosed by CMA. ES findings were conclusive in 39 (49.36%) families, and 61.90% of them were novel variants. Also, 64.28% of these variants were identified in genes that follow recessive inheritance in CAs. The diagnostic rate (DR) of ES was significantly higher than that of CMA in children from consanguineous families (P = 0·0001). The highest DR by CMA was obtained in the non-consanguineous postnatal subgroup and by ES in the consanguineous prenatal subgroup. In a population that is highly consanguineous, our results suggest that ES may have a higher diagnostic yield than CMA and should be considered as the first-tier test in the evaluation of patients with congenital anomalies.
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Affiliation(s)
- Parisa Vaseghi
- Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Department of Photo Healing and Regeneration, Medical Laser Research Center, Yara Institute, ACECR, Tehran, Iran
| | - Laleh Habibi
- Ronash Medical Genetics Laboratory, Tehran, Iran
| | - Julie A Neidich
- Department of Pathology & Immunology, Division of Laboratory & Genomic Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Yang Cao
- Department of Pathology & Immunology, Division of Laboratory & Genomic Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Neda Fattahi
- Ronash Medical Genetics Laboratory, Tehran, Iran
| | | | | | - Hossein Dalili
- Breastfeeding Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Department of Pediatrics, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Rahimi Sharbaf
- Department of Obstetrics and Gynecology, School of Medicine, Yas Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Reza Zarkesh
- Department of Neonatology, Yas Hospital Complex, Tehran university of medical sciences, Tehran, Iran
| | | | - Mahdieh Mokhberdezfuli
- Ronash Medical Genetics Laboratory, Tehran, Iran
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | | | - Vafa Ghorbansabagh
- Department of Pediatrics, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Maternal, Fetal and Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Parvane Sadeghimoghadam
- Department of Pediatrics, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Maternal, Fetal and Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Naddaf
- Department of Pediatrics, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Maternal, Fetal and Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Tahereh Esmaeilnia Shirvany
- Department of Pediatrics, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Maternal, Fetal and Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ziba Mosayebi
- Department of Pediatrics, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Maternal, Fetal and Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Behrokh Sahebdel
- Department of Obstetrics and Gynecology, School of Medicine, Yas Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Golshahi
- Department of Obstetrics and Gynecology, School of Medicine, Yas Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahboobeh Shirazi
- Department of Obstetrics and Gynecology, School of Medicine, Yas Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Shirin Shamel
- Department of Neonatology, Yas Hospital Complex, Tehran university of medical sciences, Tehran, Iran
| | - Roksana Moeini
- Department of Neonatology, Yas Hospital Complex, Tehran university of medical sciences, Tehran, Iran
| | | | | | - Reza Ghasemi
- Department of Pathology & Immunology, Division of Laboratory & Genomic Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Seyed Mohammad Akrami
- Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| | - Ali Rashidi-Nezhad
- Maternal, Fetal and Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
- Genetics Ward, Yas Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
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74
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Ferrante L, Ortman C. Genetic principles related to neurocutaneous disorders. Semin Pediatr Neurol 2024; 51:101150. [PMID: 39389652 DOI: 10.1016/j.spen.2024.101150] [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: 08/09/2024] [Revised: 09/02/2024] [Accepted: 09/03/2024] [Indexed: 10/12/2024]
Abstract
A detailed understanding of genetics is critical to the diagnosis, management, and prognostication of neurocutaneous disorders. Inheritance patterns can provide a key to the identification of different neurocutaneous disorders. Autosomal dominant disorders, like neurofibromatosis type 1 and tuberous sclerosis complex, affect males and females equally and are typically seen in every generation of a pedigree due to pathogenic changes to one copy of a gene on a somatic chromosome. Autosomal recessive disorders, such as ataxia-telangiectasia, affect males and females equally but typically skip generations on pedigrees as there needs to be a pathogenic variant of the gene on each of the pair of somatic chromosomes. X-linked disorders such as incontinentia pigmenti and Fabry disease primarily affect males or affect them more severely, but in the case of incontinentia pigmenti, the condition is lethal in males and only females are noted to be affected. The pathogenic variant that is disease causing is on the X sex chromosome, of which females have two and males have one. Somatic mosaic disorders like Sturge Weber syndrome are due to pathogenic variants only in a subset of cells post-fertilization and are not present in gametes, and so are not passed on to the next generation. Conditions that are a result of germline mosaicism are usually identified as autosomal dominant conditions that have not been present in the family prior to a single child being affected, with suspicion strengthening if siblings are diagnosed with the same condition. Regardless of the suspected inheritance pattern, it is essential to consider the ethical implications of genetic testing, including family planning, discovery of consanguinity, disclosure to other potentially affected family members, and diagnostic uncertainty.
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Affiliation(s)
- Leah Ferrante
- The University of Texas at Austin, Dell Medical School, Department of Neurology, 1601 Trinity Street, Building B, Austin, TX 78712, USA; Dell Children's Medical Center, 4910 Mueller Blvd. Suite 300 Austin, TX 78723, USA.
| | - Chelsey Ortman
- The University of Texas at Austin, Dell Medical School, Department of Neurology, 1601 Trinity Street, Building B, Austin, TX 78712, USA; Dell Children's Medical Center, 4910 Mueller Blvd. Suite 300 Austin, TX 78723, USA.
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75
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Calame DG. Optimizing genetic testing strategies for congenital anomalies in Iran. Eur J Hum Genet 2024; 32:1204-1205. [PMID: 38448559 PMCID: PMC11500169 DOI: 10.1038/s41431-024-01578-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 02/21/2024] [Indexed: 03/08/2024] Open
Affiliation(s)
- Daniel G Calame
- Section of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
- Texas Children's Hospital, Houston, TX, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
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76
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Yang M, Kim JA, Jo HS, Park JH, Ahn SY, Sung SI, Park WS, Cho HW, Kim JM, Park MH, Park HY, Jang JH, Chang YS. Diagnostic Utility of Whole Genome Sequencing After Negative Karyotyping/Chromosomal Microarray in Infants Born With Multiple Congenital Anomalies. J Korean Med Sci 2024; 39:e250. [PMID: 39315442 PMCID: PMC11419962 DOI: 10.3346/jkms.2024.39.e250] [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: 03/27/2024] [Accepted: 07/14/2024] [Indexed: 09/25/2024] Open
Abstract
BACKGROUND Achieving a definitive genetic diagnosis of unexplained multiple congenital anomalies (MCAs) in neonatal intensive care units (NICUs) infants is challenging because of the limited diagnostic capabilities of conventional genetic tests. Although the implementation of whole genome sequencing (WGS) has commenced for diagnosing MCAs, due to constraints in resources and faculty, many NICUs continue to utilize chromosomal microarray (CMA) and/or karyotyping as the initial diagnostic approach. We aimed to evaluate the diagnostic efficacy of WGS in infants with MCAs who have received negative results from karyotyping and/or CMA. METHODS In this prospective study, we enrolled 80 infants with MCAs who were admitted to a NICU at a single center and had received negative results from CMA and/or karyotyping. The phenotypic characteristics were classified according to the International Classification of Diseases and the Human Phenotype Ontology. We assessed the diagnostic yield of trio-WGS in infants with normal chromosomal result and explored the process of diagnosing by analyzing both phenotype and genotype. Also, we compared the phenotype and clinical outcomes between the groups diagnosed with WGS and the undiagnosed group. RESULTS The diagnostic yield of WGS was 26% (21/80), of which 76% were novel variants. There was a higher diagnostic yield in cases of craniofacial abnormalities, including those of the eye and ear, and a lower diagnostic yield in cases of gastrointestinal and genitourinary abnormalities. In addition, higher rates of rehabilitation therapy and gastrostomy were observed in WGS-diagnosed infants than in undiagnosed infants. CONCLUSION This prospective cohort study assessed the usefulness of trio-WGS following chromosomal analysis for diagnosing MCAs in the NICU and revealed improvements in the diagnostic yield and clinical utility of WGS.
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Affiliation(s)
- Misun Yang
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Cell and Gene Therapy Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jee Ah Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Heui Seung Jo
- Department of Pediatrics, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Jong-Ho Park
- Clinical Genomics Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - So Yoon Ahn
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Cell and Gene Therapy Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Se In Sung
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Cell and Gene Therapy Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Soon Park
- Department of Pediatrics, CHA Gangnam Medical Center, CHA University, Seoul, Korea
| | - Hye-Won Cho
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Korea
| | - Jeong-Min Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Korea
| | - Mi-Hyun Park
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Korea
| | | | - Ja-Hyun Jang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
| | - Yun Sil Chang
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Cell and Gene Therapy Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Korea.
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77
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Nawaz K, Alifah N, Hussain T, Hameed H, Ali H, Hamayun S, Mir A, Wahab A, Naeem M, Zakria M, Pakki E, Hasan N. From genes to therapy: A comprehensive exploration of congenital heart disease through the lens of genetics and emerging technologies. Curr Probl Cardiol 2024; 49:102726. [PMID: 38944223 DOI: 10.1016/j.cpcardiol.2024.102726] [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: 06/20/2024] [Accepted: 06/26/2024] [Indexed: 07/01/2024]
Abstract
Congenital heart disease (CHD) affects approximately 1 % of live births worldwide, making it the most common congenital anomaly in newborns. Recent advancements in genetics and genomics have significantly deepened our understanding of the genetics of CHDs. While the majority of CHD etiology remains unclear, evidence consistently indicates that genetics play a significant role in its development. CHD etiology holds promise for enhancing diagnosis and developing novel therapies to improve patient outcomes. In this review, we explore the contributions of both monogenic and polygenic factors of CHDs and highlight the transformative impact of emerging technologies on these fields. We also summarized the state-of-the-art techniques, including targeted next-generation sequencing (NGS), whole genome and whole exome sequencing (WGS, WES), single-cell RNA sequencing (scRNA-seq), human induced pluripotent stem cells (hiPSCs) and others, that have revolutionized our understanding of cardiovascular disease genetics both from diagnosis perspective and from disease mechanism perspective in children and young adults. These molecular diagnostic techniques have identified new genes and chromosomal regions involved in syndromic and non-syndromic CHD, enabling a more defined explanation of the underlying pathogenetic mechanisms. As our knowledge and technologies continue to evolve, they promise to enhance clinical outcomes and reduce the CHD burden worldwide.
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Affiliation(s)
- Khalid Nawaz
- Department of Medical Laboratory Technology, Khyber Medical University, Peshawar, 25100, Khyber Pakhtunkhwa, Pakistan
| | - Nur Alifah
- Faculty of Pharmacy, Universitas Hasanuddin, Jl. Perintis Kemerdekaan Km 10, Makassar, 90245, Republic of Indonesia
| | - Talib Hussain
- Women Dental College, Khyber Medical University, Abbottabad, 22080, Khyber Pakhtunkhwa, Pakistan
| | - Hamza Hameed
- Department of Cardiology, Pakistan Institute of Medical Sciences (PIMS), Islamabad, 04485, Punjab, Pakistan
| | - Haider Ali
- Department of Pharmacy, Kohat University of Science and Technology, Kohat, 26000, Khyber Pakhtunkhwa, Pakistan
| | - Shah Hamayun
- Department of Cardiology, Pakistan Institute of Medical Sciences (PIMS), Islamabad, 04485, Punjab, Pakistan
| | - Awal Mir
- Department of Medical Laboratory Technology, Khyber Medical University, Peshawar, 25100, Khyber Pakhtunkhwa, Pakistan
| | - Abdul Wahab
- Department of Pharmacy, Kohat University of Science and Technology, Kohat, 26000, Khyber Pakhtunkhwa, Pakistan
| | - Muhammad Naeem
- Department of Biological Sciences, National University of Medical Sciences (NUMS), Rawalpindi, Punjab, Pakistan
| | - Mohammad Zakria
- Advanced Center for Genomic Technologies, Khyber Medical University, Peshawar, 25100, Khyber Pakhtunkhwa, Pakistan
| | - Ermina Pakki
- Faculty of Pharmacy, Universitas Hasanuddin, Jl. Perintis Kemerdekaan Km 10, Makassar, 90245, Republic of Indonesia
| | - Nurhasni Hasan
- Faculty of Pharmacy, Universitas Hasanuddin, Jl. Perintis Kemerdekaan Km 10, Makassar, 90245, Republic of Indonesia.
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78
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Hamvas A, Chaudhari BP, Nogee LM. Genetic testing for diffuse lung diseases in children. Pediatr Pulmonol 2024; 59:2286-2297. [PMID: 37191361 DOI: 10.1002/ppul.26447] [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: 12/12/2022] [Revised: 04/04/2023] [Accepted: 04/23/2023] [Indexed: 05/17/2023]
Abstract
Newly developing genomic technologies are an increasingly important part of clinical care and thus, it is not only important to understand the technologies and their limitations, but to also interpret the findings in an actionable fashion. Clinical geneticists and genetic counselors are now an integral part of the clinical team and are able to bridge the complexities of this rapidly changing science between the bedside clinicians and patients. This manuscript reviews the terminology, the current technology, some of the known genetic disorders that result in lung disease, and indications for genetic testing with associated caveats. Because this field is evolving quickly, we also provide links to websites that provide continuously updated information important for integrating genomic technology results into clinical decision-making.
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Affiliation(s)
- Aaron Hamvas
- Department of Pediatrics, Division of Neonatology, Ann and Robert H. Lurie Children's Hospital of Chicago and Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Bimal P Chaudhari
- Divisions of Genetics and Genomic Medicine, Neonatology, Nationwide Children's Hospital, The Ohio State University College of Medicine, Columbus, Ohio, USA
| | - Lawrence M Nogee
- Department of Pediatrics, Eudowood Neonatal Pulmonary Division, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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79
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Eliav T, Kuruppu D, Sanchez-Lara PA, Grand K, Schweiger B, Allen-Sharpley M. A Reversible Etiology of Progressive Motor Decline in a Previously Healthy Child. Pediatrics 2024; 154:e2023064093. [PMID: 39091240 DOI: 10.1542/peds.2023-064093] [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: 09/07/2023] [Revised: 06/14/2024] [Accepted: 06/17/2024] [Indexed: 08/04/2024] Open
Abstract
We describe the clinical presentation and evaluation of a 10-year-old boy who presented to our medical center with years of progressive proximal muscle weakness, muscle atrophy, and weight loss. In addition to a myopathic phenotype, he was found to have tachycardia, tremor, and learning difficulties. Electromyography revealed chronic myopathic changes and laboratory screening was notable for undetectable thyroid stimulating hormone. Follow-up testing revealed elevated thyroid peroxidase antibodies and thyroid stimulating immunoglobulins. Ultrasound examination revealed an enlarged heterogeneous thyroid gland. Four weeks after treatment with atenolol and methimazole, his strength and cognition began to improve. This case highlights the importance of evaluating for potentially reversible toxic-metabolic etiologies in children presenting with any progressive neurologic symptoms.
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Affiliation(s)
- Tal Eliav
- Department of Pediatrics, Guerin Children's at Cedars-Sinai Medical Center, Los Angeles, California
| | - Deandra Kuruppu
- Department of Pediatrics, Guerin Children's at Cedars-Sinai Medical Center, Los Angeles, California
| | - Pedro A Sanchez-Lara
- Department of Pediatrics, Guerin Children's at Cedars-Sinai Medical Center, Los Angeles, California
| | - Katheryn Grand
- Department of Pediatrics, Guerin Children's at Cedars-Sinai Medical Center, Los Angeles, California
| | - Bahareh Schweiger
- Department of Pediatrics, Guerin Children's at Cedars-Sinai Medical Center, Los Angeles, California
| | - Michelle Allen-Sharpley
- Department of Pediatrics, Guerin Children's at Cedars-Sinai Medical Center, Los Angeles, California
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80
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Zheng Y, Zhong Z, Zhao Y, Zhang J, Yang L, Zhao J. Comparative analysis of the application with the combination of CMA and karyotype in routine and late amniocentesis. Arch Gynecol Obstet 2024; 310:1555-1562. [PMID: 38955819 DOI: 10.1007/s00404-024-07602-2] [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: 01/31/2024] [Accepted: 06/12/2024] [Indexed: 07/04/2024]
Abstract
PURPOSE This is a retrospective comparative study. We aimed to analyze the results of karyotype and chromosomal microarray analysis (CMA) of amniotic fluid across different gestational weeks and evaluate the clinical value in prenatal diagnosis, particularly in the late pregnancies. METHODS Samples from 580 pregnant women of 18-23 weeks of gestation (mid-gestation group) and 196 pregnant women of 24-32 weeks of gestation (late group) were performed both standard G-band karyotype analysis and CMA. RESULTS Among the 580 pregnant women in the routine group, the most common indications were positive Down's screening (213/580, 36.7%), followed by advanced maternal age (196/580, 33.8%); while fetal structural anomalies on ultrasonography were the top reason for amniocentesis in the late group (56/196, 28.6%). In the routine group, the total detection rate was 12.1% (70/580), of which 4.1% (24/580) were identified by karyotype analysis and 11.2% (65/580) by CMA. The total detection rate was 15.3% (30/196) in the late group, of which 5.1% (10/196) were detected by karyotype analysis, and 14.3% (28/196) by CMA. CONCLUSION Karyotype analysis and CMA are complementary in detecting chromosomal abnormalities. Amniotic cavity puncture in the karyotype analysis in 18-23 weeks of gestation and 24-32 weeks of gestation is safe and effective, more obvious effect on the latter.
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Affiliation(s)
- Yanmei Zheng
- Department of Obstetrics, Center for Reproductive Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Zhejiang University, Hangzhou, 310014, Zhejiang, China
| | - Zixing Zhong
- Department of Obstetrics, Center for Reproductive Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Zhejiang University, Hangzhou, 310014, Zhejiang, China
| | - Yiqi Zhao
- Department of Obstetrics, Center for Reproductive Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Zhejiang University, Hangzhou, 310014, Zhejiang, China
| | - Jing Zhang
- Department of Obstetrics, Center for Reproductive Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Zhejiang University, Hangzhou, 310014, Zhejiang, China
| | - Liwei Yang
- Department of Obstetrics, Center for Reproductive Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Zhejiang University, Hangzhou, 310014, Zhejiang, China
| | - Jue Zhao
- Department of Obstetrics, Center for Reproductive Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Zhejiang University, Hangzhou, 310014, Zhejiang, China.
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81
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Panigrahi I, Rao S, Verma Kumar S, Kumari D, Kaur P. Intellectual Disability and Blended Phenotypes: Insights from a Centre in North India. Case Rep Genet 2024; 2024:6009569. [PMID: 39263390 PMCID: PMC11390182 DOI: 10.1155/2024/6009569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 04/27/2024] [Accepted: 06/25/2024] [Indexed: 09/13/2024] Open
Abstract
Intellectual disability (ID) is seen in around 2.5% of global population and can vary from mild to severe and profound ID. There can be multiple affected family members if it is inherited, though many autosomal dominant ID cases would be due to de novo mutations are very less likely to recur in families. A confirmatory diagnosis is facilitated by genetic testing like chromosomal microarray and next generation sequencing. We describe here our cohort of 15 patients: children and adolescents with ID diagnosed by using sequencing technologies and parental segregation studies. Most of the variants identified were de novo variants and consistent with sporadic occurrence, and blended phenotypes were identified. Appropriate genetic counseling was performed and options for prenatal diagnosis were discussed. Thus, advanced sequencing technologies enable identification of likely causative de novo variants associated with intellectual disability and dysmorphism.
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Affiliation(s)
| | - Sudha Rao
- Dhitiomics Technologies Private Ltd., Bangalore, India
| | | | - Divya Kumari
- Department of Pediatrics APC PGIMER, Chandigarh, India
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82
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Pynaker C, McCoy J, Halliday J, Lewis S, Amor DJ, Walker SP, Hui L. Perinatal outcomes after a prenatal diagnosis of a fetal copy number variant: a retrospective population-based cohort study. BMC Pediatr 2024; 24:536. [PMID: 39174956 PMCID: PMC11340052 DOI: 10.1186/s12887-024-05012-6] [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: 02/07/2024] [Accepted: 08/13/2024] [Indexed: 08/24/2024] Open
Abstract
BACKGROUND There are no established guidelines for the follow up of infants born after a prenatal diagnosis of a genomic copy number variant (CNV), despite their increased risk of developmental issues. The aims of this study were (i) to determine the perinatal outcomes of fetuses diagnosed with and without a CNV, and (ii) to establish a population-based paediatric cohort for long term developmental follow up. METHODS An Australian state-wide research database was screened for pregnant individuals who had a prenatal chromosomal microarray (CMA) between 2013-2019 inclusive. Following linkage to laboratory records and clinical referrer details, hospital records were manually reviewed for study eligibility. Eligible participants were mother-child pairs where the pregnancy resulted in a livebirth, the mother was able to provide informed consent in English (did not require a translator) and the mother was the primary caregiver for the child at hospital discharge after birth. Research invitations were sent by registered post at an average of six years after the prenatal diagnostic test. Statistical analysis was performed in Stata17. RESULTS Of 1832 prenatal records examined, 1364 (74.5%) mother-child pairs were eligible for recruitment into the follow up cohort. Of the 468 ineligible, 282 (60.3%) had 'no live pregnancy outcome' (209 terminations of pregnancy (TOP) and 73 miscarriages, stillbirths, and infant deaths), 157 (33.5%) required a translator, and 29 (6.2%) were excluded for other reasons. TOP rates varied by the type of fetal CNV detected: 49.3% (109/221) for pathogenic CNVs, 18.2% (58/319) for variants of uncertain significance and 3.3% (42/1292) where no clinically significant CNV was reported on CMA. Almost 77% of invitation letters were successfully delivered (1047/1364), and the subsequent participation rate in the follow up cohort was 19.2% (201/1047). CONCLUSIONS This study provides Australia's first population-based data on perinatal outcomes following prenatal diagnostic testing with CMA. The relatively high rates of pregnancy loss for those with a prenatal diagnosis of a CNV presented a challenge for establishing a paediatric cohort to examine long term outcomes. Recruiting a mother-child cohort via prenatal ascertainment is a complex and resource-intensive process, but an important step in understanding the impact of a CNV diagnosis in pregnancy and beyond. TRIAL REGISTRATION ACTRN12620000446965p; Registered on April 6, 2020.
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Affiliation(s)
- Cecilia Pynaker
- Reproductive Epidemiology Group, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Jacqui McCoy
- Reproductive Epidemiology Group, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Jane Halliday
- Reproductive Epidemiology Group, Murdoch Children's Research Institute, Parkville, VIC, Australia
- Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia
| | - Sharon Lewis
- Reproductive Epidemiology Group, Murdoch Children's Research Institute, Parkville, VIC, Australia
- Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia
| | - David J Amor
- Reproductive Epidemiology Group, Murdoch Children's Research Institute, Parkville, VIC, Australia
- Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia
- Neurodisability and Rehabilitation Group, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Susan P Walker
- Department of Obstetrics, Gynaecology and Newborn Health, University of Melbourne, Parkville, VIC, Australia
- Mercy Hospital for Women, Heidelberg, VIC, Australia
| | - Lisa Hui
- Reproductive Epidemiology Group, Murdoch Children's Research Institute, Parkville, VIC, Australia.
- Department of Obstetrics, Gynaecology and Newborn Health, University of Melbourne, Parkville, VIC, Australia.
- Mercy Hospital for Women, Heidelberg, VIC, Australia.
- Northern Health, Melbourne, VIC, Australia.
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83
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Mierau SB, Thom RP, Ravichandran CT, Nagy A, Rice C, Macenski C, Keary CJ, Palumbo ML, McDougle CJ, Neumeyer AM. Genetic Testing History in Adults with Autism Spectrum Disorder. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.18.24312179. [PMID: 39228695 PMCID: PMC11370500 DOI: 10.1101/2024.08.18.24312179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/05/2024]
Abstract
Background & Objectives Many genes have been identified in autism spectrum disorder (ASD). Yet little is known about how many adults with ASD receive recommended genetic testing and their outcomes. We investigated the percentage of adults with ASD who received genetic testing using recommended methods in our ASD specialty clinic and the percentage with positive findings. Methods Potentially eligible adults were identified through search of our health system data repository and ASD diagnoses confirmed using review of relevant medical records by consensus of psychiatrists specializing in ASD. Patients were included (N=630) who had at least one visit with a qualifying clinician between 5/1/2010 and 12/15/2020 and demographic data available. Data were collected through manual retrospective review of the electronic health record. Results Only 41% of the adults with ASD (261/630) had a history of genetic testing documented in the medical record. Genetic testing was declined by patients or families for 11% (72) of records and not recorded in 47% (297). Mean (SD; range) age for the 261 adults with testing documented was 28.5 (5.3; 22-58) years. Sixty-seven (26%) were identified as female, 14 (6%) as Asian, 8 (3%) as Black or African American, 226 (89%) as White, 6 (2%) as other race, and 2 (1%) as Hispanic. 189 (73%) had intellectual disability. Ninety-one percent (236) had the genetic testing method recorded. Only 54% (95% CI: 46%, 61%) of patients had testing using a recommended method (chromosomal array, autism/intellectual disability sequencing panel, or exome sequencing). Few adults had received testing with sequencing technologies. A genetic cause of ASD was found in 28% (95% CI: 19%, 39%) of the 121 adults with results from ASD-related genetic testing recorded. Conclusions Genetic testing can offer clinical and research insights. Yet it is underutilized in this population of adults with ASD. Nearly half of the adults in our sample lacked documentation of genetic testing. Thus, the percentage of adults with confirmed ASD who had any recommended genetic testing may be even lower than reported. Adults with ASD may benefit from having their genetic testing history reviewed in the clinic and the latest genetic testing performed.
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Affiliation(s)
- Susanna B Mierau
- Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of Cognitive and Behavioral Neurology, Brigham & Women's Hospital, Boston, MA, USA
| | - Robyn P Thom
- Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Caitlin T Ravichandran
- Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, USA
- Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Amanda Nagy
- Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Cashel Rice
- Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, USA
| | - Christina Macenski
- Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Christopher J Keary
- Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Michelle L Palumbo
- Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Christopher J McDougle
- Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Ann M Neumeyer
- Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, USA
- Harvard Medical School, Boston, MA, USA
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Pereira SSS, Pinto IP, Santos VCDP, Silva RC, Costa EOA, da Cruz AS, da Cruz AD, da Silva CC, Minasi LB. Analysis of parental origin of de novo pathogenic CNVs in patients with intellectual disability. Genet Mol Biol 2024; 47:e20230313. [PMID: 39136576 PMCID: PMC11320663 DOI: 10.1590/1678-4685-gmb-2023-0313] [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: 11/01/2023] [Accepted: 06/25/2024] [Indexed: 08/16/2024] Open
Abstract
Chromosomal Microarray Analysis (CMA) has increased the comprehension of the mechanisms of copy number variation (CNV) formation, classification of these rearrangements, type of recurrence, and its origin, and has also been a powerful approach to identifying CNVs in individuals with intellectual disability. The aim of this study was to establish the parental origin of de novo pathogenic CNV in a cohort of patients with intellectual disability from the public health system of Goiás-Brazil. CMA was done in 76 trios and we identified 15 de novo pathogenic CNVs in 12 patients with intellectual disability. In a total of 15 de novo pathogenic CNV, 60% were derived from the maternal germline and 40% from the paternal germline. CNV flanked by low copy repeats (LCR) were identified in 46.7% and most of them were of maternal origin. No significant association was observed between paternal age and the mutation rate of de novo CNVs. The presence of high-identity LCRs increases the occurrence of CNV formation mediated by non-allelic homologous recombination and the majority of paternal CNVs are non-recurrent. The mechanism of formation of these CNV may have been by microhomology-mediated break-induced replication or non-homologous end joining.
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Affiliation(s)
- Samara Socorro Silva Pereira
- Pontifícia Universidade Católica de Goiás, Escola de Ciências Médicas e da Vida, Programa de Pós-Graduação em Genética, Núcleo de Pesquisa Replicon, Goiânia, GO, Brazil
- Universidade Federal de Goiás, Programa de Pós-Graduação em Genética e Biologia Molecular, Goiânia, GO, Brazil
| | - Irene Plaza Pinto
- Pontifícia Universidade Católica de Goiás, Escola de Ciências Médicas e da Vida, Programa de Pós-Graduação em Genética, Núcleo de Pesquisa Replicon, Goiânia, GO, Brazil
| | - Victor Cortázio do Prado Santos
- Pontifícia Universidade Católica de Goiás, Escola de Ciências Médicas e da Vida, Programa de Pós-Graduação em Genética, Núcleo de Pesquisa Replicon, Goiânia, GO, Brazil
- Universidade Federal de Goiás, Programa de Pós-Graduação em Genética e Biologia Molecular, Goiânia, GO, Brazil
| | - Rafael Carneiro Silva
- Pontifícia Universidade Católica de Goiás, Escola de Ciências Médicas e da Vida, Programa de Pós-Graduação em Genética, Núcleo de Pesquisa Replicon, Goiânia, GO, Brazil
| | - Emília Oliveira Alves Costa
- Pontifícia Universidade Católica de Goiás, Escola de Ciências Médicas e da Vida, Programa de Pós-Graduação em Genética, Núcleo de Pesquisa Replicon, Goiânia, GO, Brazil
| | - Alex Silva da Cruz
- Pontifícia Universidade Católica de Goiás, Escola de Ciências Médicas e da Vida, Programa de Pós-Graduação em Genética, Núcleo de Pesquisa Replicon, Goiânia, GO, Brazil
| | - Aparecido Divino da Cruz
- Pontifícia Universidade Católica de Goiás, Escola de Ciências Médicas e da Vida, Programa de Pós-Graduação em Genética, Núcleo de Pesquisa Replicon, Goiânia, GO, Brazil
- Secretaria Estadual de Saúde de Goiás, Centro Estadual de Reabilitação e Readaptação Dr. Henrique Santillo, Goiânia, GO, Brazil
- Universidade Federal de Goiás, Programa de Pós-Graduação em Genética e Biologia Molecular, Goiânia, GO, Brazil
| | - Cláudio Carlos da Silva
- Pontifícia Universidade Católica de Goiás, Escola de Ciências Médicas e da Vida, Programa de Pós-Graduação em Genética, Núcleo de Pesquisa Replicon, Goiânia, GO, Brazil
- Secretaria Estadual de Saúde de Goiás, Centro Estadual de Reabilitação e Readaptação Dr. Henrique Santillo, Goiânia, GO, Brazil
| | - Lysa Bernardes Minasi
- Pontifícia Universidade Católica de Goiás, Escola de Ciências Médicas e da Vida, Programa de Pós-Graduação em Genética, Núcleo de Pesquisa Replicon, Goiânia, GO, Brazil
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Boughalem A, Ciorna-Monferrato V, Sloboda N, Guegan A, Page F, Zimmer S, Benazra M, Kleinfinger P, Lohmann L, Valduga M, Receveur A, Martin F, Trost D. Optical genome mapping identifies a homozygous deletion in the non-coding region of the SCN9A gene in individuals from the same family with congenital insensitivity to pain. Front Genet 2024; 15:1375770. [PMID: 39156962 PMCID: PMC11327051 DOI: 10.3389/fgene.2024.1375770] [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: 02/01/2024] [Accepted: 07/18/2024] [Indexed: 08/20/2024] Open
Abstract
We report an index patient with complete insensitivity to pain and a history of painless fractures, joint hypermobility, and behavioral problems. The index patient descends from a family with notable cases among his maternal relatives, including his aunt and his mother's first cousin, both of whom suffer from congenital insensitivity to pain. The patient had normal results for prior genetic testing: fragile-X syndrome testing, chromosomal microarray analysis, and exome sequencing. Optical genome mapping detected a homozygous deletion affecting the noncoding 5' untranslated region (UTR) and the first non-coding exon of the SCN9A gene in all affected family members, compatible with recessive disease transmission. Pathogenic homozygous loss-of-function variants in the SCN9A gene are associated with impaired pain sensation in humans. Optical genome mapping can thus detect pathogenic structural variants in patients without molecular etiology by standard diagnostic procedures and is a more accessible diagnostic tool than short-read or long-read whole-genome sequencing.
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Affiliation(s)
- Aïcha Boughalem
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Viorica Ciorna-Monferrato
- Génétique Médicale et Oncogénétique, Hôpital Femme Mère Enfant, CHR Metz-Thionville, site de Mercy, 1, Allée du Château, Metz Cedex, France
| | - Natacha Sloboda
- Génétique Médicale et Oncogénétique, Hôpital Femme Mère Enfant, CHR Metz-Thionville, site de Mercy, 1, Allée du Château, Metz Cedex, France
| | - Amélie Guegan
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - François Page
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Sophie Zimmer
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Marion Benazra
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Pascale Kleinfinger
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Laurence Lohmann
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Mylène Valduga
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Aline Receveur
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Fernando Martin
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
| | - Detlef Trost
- Department of Human Genetics, Laboratoire CERBA SA, Saint Ouen L’aumône, France
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Lewis SA, Ruttenberg A, Iyiyol T, Kong N, Jin SC, Kruer MC. Potential clinical applications of advanced genomic analysis in cerebral palsy. EBioMedicine 2024; 106:105229. [PMID: 38970919 PMCID: PMC11282942 DOI: 10.1016/j.ebiom.2024.105229] [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: 02/15/2024] [Revised: 04/26/2024] [Accepted: 06/20/2024] [Indexed: 07/08/2024] Open
Abstract
Cerebral palsy (CP) has historically been attributed to acquired insults, but emerging research suggests that genetic variations are also important causes of CP. While microarray and whole-exome sequencing based studies have been the primary methods for establishing new CP-gene relationships and providing a genetic etiology for individual patients, the cause of their condition remains unknown for many patients with CP. Recent advancements in genomic technologies offer additional opportunities to uncover variations in human genomes, transcriptomes, and epigenomes that have previously escaped detection. In this review, we outline the use of these state-of-the-art technologies to address the molecular diagnostic challenges experienced by individuals with CP. We also explore the importance of identifying a molecular etiology whenever possible, given the potential for genomic medicine to provide opportunities to treat patients with CP in new and more precise ways.
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Affiliation(s)
- Sara A Lewis
- Pediatric Movement Disorders Program, Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, AZ, United States; Departments of Child Health, Neurology, and Cellular & Molecular Medicine and Program in Genetics, University of Arizona College of Medicine, Phoenix, AZ, United States
| | - Andrew Ruttenberg
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States
| | - Tuğçe Iyiyol
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States
| | - Nahyun Kong
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States
| | - Sheng Chih Jin
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States; Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, United States.
| | - Michael C Kruer
- Pediatric Movement Disorders Program, Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, AZ, United States; Departments of Child Health, Neurology, and Cellular & Molecular Medicine and Program in Genetics, University of Arizona College of Medicine, Phoenix, AZ, United States; Programs in Neuroscience and Molecular & Cellular Biology, School of Life Sciences, Arizona State University, Tempe, AZ, United States.
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87
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Chengyan L, Chupeng X, You W, Yinhui C, Binglong H, Dang A, Ling L, Chuan T. Identification of genetic causes in children with unexplained epilepsy based on trio-whole exome sequencing. Clin Genet 2024; 106:140-149. [PMID: 38468460 DOI: 10.1111/cge.14519] [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: 11/03/2023] [Revised: 02/25/2024] [Accepted: 02/26/2024] [Indexed: 03/13/2024]
Abstract
Genotype and clinical phenotype analyses of 128 children were performed based on whole exome sequencing (WES), providing a reference for the provision of genetic counseling and the precise diagnosis and treatment of epilepsy. A total of 128 children with unexplained epilepsy were included in this study, and all their clinical data were analyzed. The children's treatments, epilepsy control, and neurodevelopmental levels were regularly followed up every 3 months. The genetic diagnostic yield of the 128 children with epilepsy is 50.8%, with an SNV diagnostic yield of 39.8% and a CNV diagnostic yield of 12.5%. Among the 128 children with epilepsy, 57.0% had onset of epilepsy in infancy, 25.8% have more than two clinical seizure forms, 62.5% require two or more anti-epileptic drug treatments, and 72.7% of the children have varying degrees of psychomotor development retardation. There are significant differences between ages of onset, neurodevelopmental levels and the presence of drug resistance in the genetic diagnostic yield (all p < 0.05). The 52 pathogenic/likely pathogenic SNVs involve 31 genes, with genes encoding ion channels having the largest number of mutations (30.8%). There were 16 cases of pathogenic/possibly pathogenic CNVs, among which the main proportions of CNVs were located in chromosome 15 and chromosome 16. Trio-WES is an essential tool for the genetic diagnosis of unexplained epilepsy, with a genetic diagnostic yield of up to 50.8%. Early genetic testing can provide an initiate appropriate therapies and accurate molecular diagnosis.
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Affiliation(s)
- Li Chengyan
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, People's Republic of China
| | - Xue Chupeng
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, People's Republic of China
- Department of Pediatrics, Shantou Central Hospital, Shantou, People's Republic of China
| | - Wang You
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, People's Republic of China
| | - Chen Yinhui
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, People's Republic of China
| | - Huang Binglong
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, People's Republic of China
| | - Ao Dang
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, People's Republic of China
| | - Liu Ling
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, People's Republic of China
| | - Tian Chuan
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, People's Republic of China
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Poch A, Dougherty MP, Roman RA, Chorich L, Hawkins Z, Kim SH, Kim HG, Layman LC. Prevalence of pathogenic variants and digenic disease in patients diagnosed with normosmic hypogonadotropic hypogonadism/Kallmann Syndrome. Mol Cell Endocrinol 2024; 589:112224. [PMID: 38593951 DOI: 10.1016/j.mce.2024.112224] [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: 02/02/2024] [Revised: 03/26/2024] [Accepted: 03/29/2024] [Indexed: 04/11/2024]
Abstract
BACKGROUND Hypogonadotropic hypogonadism (HH) is due to impaired gonadotropin releasing hormone (GnRH) action resulting in absent puberty and infertility. At least 44 genes have been identified to possess genetic variants in 40-50% of nHH/KS, and 2-20% have presumed digenic disease, but not all variants have been characterized in vitro. HYPOTHESIS The prevalence of pathogenic (P)/likely pathogenic (LP) variants in monogenic and digenic nHH/KS is lower than reported. DESIGN Cross-sectional study. SETTING University Research Laboratory. SUBJECTS 158 patients with nHH/KS. METHODS Exome sequencing (ES) was performed and variants were filtered for 44 known genes using Varsome and confirmed by Sanger Sequencing. MAIN OUTCOME MEASURES P/LP variants in nHH/KS genes. RESULTS ES resulted in >370,000 variants, from which variants in 44 genes were filtered. Thirty-one confirmed P/LP variants in 10 genes (ANOS1, CHD7, DUSP6, FGFR1, HS6ST1, KISS1, PROKR2, SEMA3A, SEMA3E, TACR3), sufficient to cause disease, were identified in 30/158 (19%) patients. Only 2/158 (1.2%) patients had digenic variant combinations: a male with hemizygous ANOS1 and heterozygous TACR3 variants and a male with heterozygous SEMA3A and SEMA3E variants. Two patients (1.2%) had compound heterozygous GNRHR (autosomal recessive) variants-one P and one variant of uncertain significance (VUS). Five patients (3.2%) had heterozygous P/LP variants in either GNRHR or TACR3 (both autosomal recessive), but no second variant. CONCLUSION Our prevalence of P/LP variants in nHH/KS was 19%, and digenicity was observed in 1.2%. These findings are less than those previously reported, and probably represent a more accurate estimation since VUS are not included.
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Affiliation(s)
- Alexandra Poch
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia at Augusta University, Augusta, GA, USA.
| | - Michael P Dougherty
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia at Augusta University, Augusta, GA, USA
| | - Robert A Roman
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia at Augusta University, Augusta, GA, USA
| | - Lynn Chorich
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia at Augusta University, Augusta, GA, USA
| | - Zoe Hawkins
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia at Augusta University, Augusta, GA, USA
| | - Soo-Hyun Kim
- Molecular and Clinical Sciences Research Institute, St. George's, University of London, Cranmer Terrace, London, SW17 0RE, United Kingdom
| | - Hyung-Goo Kim
- Neurological Disorders Research Center, Qatar Biomedical Research Center, Hamad Bin Khalifa University, Doha, Qatar; College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Lawrence C Layman
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia at Augusta University, Augusta, GA, USA; Department of Neuroscience and Regenerative Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA; Department of Physiology, Medical College of Georgia at Augusta University, Augusta, GA, USA
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89
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Yanes T, Nathan V, Wallingford C, Faragher R, Nankervis K, Jacobs C, Vassos M, Boyle F, Carroll A, Smith S, McInerney-Leo A. Australasian genetic counselors' attitudes toward disability and prenatal testing: Findings from a cross-sectional survey. J Genet Couns 2024; 33:822-833. [PMID: 37735951 DOI: 10.1002/jgc4.1788] [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: 02/07/2023] [Revised: 08/27/2023] [Accepted: 08/29/2023] [Indexed: 09/23/2023]
Abstract
Diagnostic genetic testing and non-invasive prenatal testing (NIPT) for conditions associated with disability are becoming increasingly available to consumers. This genetic information can be used in the disability setting to inform factors such as prognosis, management, and reproductive decision-making. Genetic counselors (GCs) play an important role in the provision of genetic testing and NIPT, and their attitudes toward disability can influence how genetic information is communicated and shape patients' responses. This study aimed to evaluate and describe Australasian GCs' experience with and attitudes toward disabilities to identify potential biases and training needs. A cross-sectional survey was distributed to 400 GCs registered with the Human Genetics Society of Australasia. Of the 106 respondents (participation rate: 26%), a significantly greater proportion were more comfortable interacting with individuals with physical disability as compared to intellectual disability (p < 0.001). GCs with personal experiences with disabilities reported significantly greater comfort interacting with people with intellectual disability than those without experience (p = 0.012). Qualitative analysis revealed discomfort was less reflective of bias than inexperience and apprehension about communicating disrespectfully. GCs believed people with disabilities experience discrimination and that having a disability could make a person stronger, wiser, and more motivated. Most GCs viewed prenatal testing for disabilities positively as it allowed for decisions regarding continuing the pregnancy and/or provided opportunity to prepare. Challenges identified for prenatal counseling included negative societal attitudes and the low visibility of disability. GCs felt that 'personal beliefs' was the primary factor influencing the decision to terminate a pregnancy affected by disability. These findings highlight important education and training needs for GCs to improve preparedness and comfort when communicating with people with a disability.
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Affiliation(s)
- Tatiane Yanes
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Vaishnavi Nathan
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
- Graduate School of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Courtney Wallingford
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Rhonda Faragher
- School of Education, The University of Queensland, Brisbane, Queensland, Australia
| | - Karen Nankervis
- School of Education, The University of Queensland, Brisbane, Queensland, Australia
| | - Chris Jacobs
- Graduate School of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Maria Vassos
- School of Education, The University of Queensland, Brisbane, Queensland, Australia
| | - Fran Boyle
- Institute for Social Science Research, The University of Queensland, Queensland, Australia
| | - Annemaree Carroll
- School of Education, The University of Queensland, Brisbane, Queensland, Australia
| | - Simon Smith
- Institute for Social Science Research, The University of Queensland, Queensland, Australia
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Queensland, Australia
- ARC Centre of Excellence for the Digital Child, The University of Queensland, Brisbane, Queensland, Australia
| | - Aideen McInerney-Leo
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
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90
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Furley K, Hunter MF, Fahey M, Williams K. Diagnostic findings and yield of investigations for children with developmental regression. Am J Med Genet A 2024; 194:e63607. [PMID: 38536866 DOI: 10.1002/ajmg.a.63607] [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: 02/28/2024] [Revised: 03/11/2024] [Accepted: 03/13/2024] [Indexed: 07/05/2024]
Abstract
Childhood conditions that feature developmental regression are poorly understood. Phenotype-genotype characterization and diagnostic yield data are needed to inform clinical decision-making. The aim of this study was to report the conditions featuring developmental regression and assess diagnostic yields of investigations. A retrospective chart review of children presenting with developmental regression to a tertiary pediatric genetic clinic between 2018 and 2021 was performed. Of 99 children, 30% (n = 30) had intellectual disability (ID), 21% (n = 21) were autistic, 39% (n = 39) were autistic with ID, and 9% (n = 9) did not have ID or autism. Thirty-two percent (n = 32) of children received a new diagnosis, including eight molecular findings not previously reported to feature developmental regression. Of the children investigated, exome sequencing (ES) provided the highest diagnostic yield (51.1%, n = 24/47), highest (63.6%, n = 14/22) for children with ID, 50% for autistic children with ID (n = 6/12) and children without autism or ID (n = 3/6), and 14.3% (n = 1/7) for autistic children without ID. We highlight the conditions that feature developmental regression and report on novel phenotypic expansions. The high diagnostic yield of ES, regardless of autism or ID diagnosis, indicates the presence of developmental regression as an opportunity to identify the cause, including for genetic differences not previously reported to include regression.
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Affiliation(s)
- Kirsten Furley
- Department of Paediatrics, Monash University, Melbourne, Australia
- Monash Children's Hospital, Melbourne, Australia
| | - Matthew F Hunter
- Department of Paediatrics, Monash University, Melbourne, Australia
- Monash Genetics, Monash Health, Melbourne, Australia
| | - Michael Fahey
- Department of Paediatrics, Monash University, Melbourne, Australia
- Monash Children's Hospital, Melbourne, Australia
- Neurology, Monash Health, Melbourne, Australia
| | - Katrina Williams
- Department of Paediatrics, Monash University, Melbourne, Australia
- Monash Children's Hospital, Melbourne, Australia
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91
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D'Souza EE, Findley TO, Hu R, Khazal ZSH, Signorello R, Dash C, D'Gama AM, Feldman HA, Agrawal PB, Wojcik MH, Morton SU. Genomic testing and molecular diagnosis among infants with congenital heart disease in the neonatal intensive care unit. J Perinatol 2024; 44:1196-1202. [PMID: 38499751 PMCID: PMC11300151 DOI: 10.1038/s41372-024-01935-1] [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: 01/02/2024] [Revised: 03/07/2024] [Accepted: 03/11/2024] [Indexed: 03/20/2024]
Abstract
OBJECTIVE To evaluate patterns of genetic testing among infants with CHD at a tertiary care center. STUDY DESIGN We conducted a retrospective observational cohort study of infants in the NICU with suspicion of a genetic disorder. 1075 of 7112 infants admitted to BCH had genetic evaluation including 329 with CHD and 746 without CHD. 284 of 525 infants with CHD admitted to CMHH had genetic evaluation. Patterns of testing and diagnoses were compared. RESULTS The rate of diagnosis after testing was similar for infants with or without CHD (38% [121/318] vs. 36% [246/676], p = 0.14). In a multiple logistic regression, atrioventricular septal defects were most high associated with genetic diagnosis (odds ratio 29.99, 95% confidence interval 2.69-334.12, p < 0.001). CONCLUSIONS Infants with suspicion of a genetic disorder with CHD had similar rates of molecular diagnosis as those without CHD. These results support a role for genetic testing among NICU infants with CHD.
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Affiliation(s)
- Erica E D'Souza
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Tina O Findley
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston and Children's Memorial Hermann Hospital, Houston, TX, 77030, USA
| | - Rachel Hu
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Zahra S H Khazal
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Rachel Signorello
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Camille Dash
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Alissa M D'Gama
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, 02115, USA
| | - Henry A Feldman
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, 02115, USA
| | - Pankaj B Agrawal
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, 02115, USA
- The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, 02115, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, 02115, USA
- Division of Neonatology, Department of Pediatrics, University of Miami Miller School of Medicine and Holtz Children's Hospital, Jackson Health System, Miami, FL, USA
| | - Monica H Wojcik
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, 02115, USA
- The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, 02115, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Sarah U Morton
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA.
- Department of Pediatrics, Harvard Medical School, Boston, MA, 02115, USA.
- The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, 02115, USA.
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, 02115, USA.
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92
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O’Donovan CJ, Tan LT, Abidin MAZ, Roderick MR, Grammatikos A, Bernatoniene J. Diagnosis of Chronic Granulomatous Disease: Strengths and Challenges in the Genomic Era. J Clin Med 2024; 13:4435. [PMID: 39124702 PMCID: PMC11313294 DOI: 10.3390/jcm13154435] [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: 06/27/2024] [Revised: 07/17/2024] [Accepted: 07/24/2024] [Indexed: 08/12/2024] Open
Abstract
Chronic granulomatous disease (CGD) is a group of rare primary inborn errors of immunity characterised by a defect in the phagocyte respiratory burst, which leads to severe and life-threatening infective and inflammatory complications. Despite recent advances in our understanding of the genetic and molecular pathophysiology of X-linked and autosomal recessive CGD, and growth in the availability of functional and genetic testing, there remain significant barriers to early and accurate diagnosis. In the current review, we provide an up-to-date summary of CGD pathophysiology, underpinning current methods of diagnostic testing for CGD and closely related disorders. We present an overview of the benefits of early diagnosis and when to suspect and test for CGD. We discuss current and historical methods for functional testing of NADPH oxidase activity, as well as assays for measuring protein expression of NADPH oxidase subunits. Lastly, we focus on genetic and genomic methods employed to diagnose CGD, including gene-targeted panels, comprehensive genomic testing and ancillary methods. Throughout, we highlight general limitations of testing, and caveats specific to interpretation of results in the context of CGD and related disorders, and provide an outlook for newborn screening and the future.
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Affiliation(s)
- Conor J. O’Donovan
- Department of Paediatric Immunology and Infectious Diseases, Bristol Royal Hospital for Children, University Hospitals Bristol and Weston NHS Foundation Trust, Upper Maudlin Street, Bristol BS2 8BJ, UK
- School of Cellular and Molecular Medicine, University of Bristol, University Walk, Bristol BS8 1TD, UK
| | - Lay Teng Tan
- Department of Paediatric Immunology and Infectious Diseases, Bristol Royal Hospital for Children, University Hospitals Bristol and Weston NHS Foundation Trust, Upper Maudlin Street, Bristol BS2 8BJ, UK
- Department of Paediatrics, University Malaya Medical Center, Lembah Pantai, Kuala Lumpur 59100, Malaysia
| | - Mohd A. Z. Abidin
- Department of Paediatric Immunology and Infectious Diseases, Bristol Royal Hospital for Children, University Hospitals Bristol and Weston NHS Foundation Trust, Upper Maudlin Street, Bristol BS2 8BJ, UK
- Department of Paediatrics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Malaysia
| | - Marion R. Roderick
- Department of Paediatric Immunology and Infectious Diseases, Bristol Royal Hospital for Children, University Hospitals Bristol and Weston NHS Foundation Trust, Upper Maudlin Street, Bristol BS2 8BJ, UK
- School of Cellular and Molecular Medicine, University of Bristol, University Walk, Bristol BS8 1TD, UK
| | - Alexandros Grammatikos
- Department of Immunology, Southmead Hospital, North Bristol NHS Trust, Bristol BS10 5NB, UK
| | - Jolanta Bernatoniene
- Department of Paediatric Immunology and Infectious Diseases, Bristol Royal Hospital for Children, University Hospitals Bristol and Weston NHS Foundation Trust, Upper Maudlin Street, Bristol BS2 8BJ, UK
- School of Cellular and Molecular Medicine, University of Bristol, University Walk, Bristol BS8 1TD, UK
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93
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Zaks N, Mahjani B, Reichenberg A, Birnbaum R. CLINICAL AND COGNITIVE PHENOTYPING OF COPY NUMBER VARIANTS PATHOGENIC FOR NEURODEVELOPMENTAL DISORDERS FROM A MULTI-ANCESTRY BIOBANK. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.16.24310489. [PMID: 39072027 PMCID: PMC11275656 DOI: 10.1101/2024.07.16.24310489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Background Rare copy number variants (CNVs) are pathogenic for neurodevelopmental disorders (NDDs) and effect neurocognitive impairment. In aggregate, NDD CNVs may present in up to 2% of population cohorts with implications for neuropsychiatric disease risk and cognitive health. However, analyses of NDD CNVs in biobanks or population cohorts have been hindered by limited clinical or cognitive phenotypes, and a lack of ancestral diversity. In the current proof-of-concept study, NDD CNV carriers were recontacted from BioMe, a multi-ancestry biobank derived from the Mount Sinai healthcare system, to enable 'deep phenotyping' beyond electronic health record outcomes. Methods From BioMe biobank, 892 adult participants were recontacted, including 335 harboring NDD CNVs, 217 with schizophrenia and 340 neurotypical controls as comparators. Clinical and cognitive assessments were administered to each recruited participant. Results Seventy-three participants completed study assessments (mean age=48.8 years; 66% female; 36% African, 26% European, 34% Hispanic), or 8% of the recontacted subset, including 30 NDD CNV carriers across 15 loci. Among NDD CNV carriers, assessments indicated 40% with mood and anxiety disorders, 30% with learning disorders, and 13% with a history of special education. NDD CNV carriers were significantly cognitively impaired compared to controls on digit span backwards (Beta=-1.76, FDR=0.04) and digit span sequencing (Beta=-2.01, FDR=0.04). Conclusions Feasibility of "recall-by-genotype" from a multi-ancestry biobank was established for NDD CNV carriers, along with comparator groups. The current study corroborated past reports of NDD CNVs effects of cognitive impairment, while elucidating clinical phenotypes for recalled individuals. Future "recall-by-genotype" studies may further facilitate clinical characterization of disease-relevant genomic variants.
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Affiliation(s)
- Nina Zaks
- Department of Child and Adolescent Psychiatry, NYU Langone Health
| | - Behrang Mahjani
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai
| | - Abraham Reichenberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai
| | - Rebecca Birnbaum
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai
- Department of Genetic and Genomics Sciences, Icahn School of Medicine at Mount Sinai
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94
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Arroyo-Ruiz R, Urbano-Ruiz C, García-Berrocal MB, Marcos-Vadillo E, Isidoro-García M, Martín-Alonso MM, Bajo-Delgado AF, Prieto-Matos P, López-Siguero JP. Clinical and Genetic Characterization of a Cohort of Small-for-Gestational-Age Patients: Cost-Effectiveness of Whole-Exome Sequencing and Effectiveness of Treatment with GH. J Clin Med 2024; 13:4006. [PMID: 39064046 PMCID: PMC11277664 DOI: 10.3390/jcm13144006] [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: 06/11/2024] [Revised: 07/02/2024] [Accepted: 07/04/2024] [Indexed: 07/28/2024] Open
Abstract
Background/Objectives: Develop a clinical and genetic characterization, in a group of small-for-gestational-age (SGA) patients who did not experience catch-up growth Methods: In an ambispective cohort study with (SGA) patients. These patients received one treatment with growth hormone (GH) over 14 years. This study analyzes their response to treatment and conducts a genetic analysis in order to identify cases with specific phenotypic and auxological characteristics, defined as presenting two or more dysmorphic traits and/or a stature below -3 SDS (standard deviation score). Whole-exome sequencing (WES) was performed on selected patients. Results: Forty-four SGA patients were examined, with an average age of 6.4 (2.49) years and an initial size of -3.3 SDS. The pubertal growth was 24.1 (5.2) cm in boys and 14.7 (4.3) cm in girls. WES in 11 SGA patients revealed conclusive genetic variants in eight, including two pathogenic ACAN variants, one 15q26.2-q26.3 deletion, and four variants of uncertain significance in other genes. Conclusions: Treatment with GH in SGA patients was shown to be effective, with a similar response in the group with positive genetic results and in the group who did not undergo a genetic study. Genetic testing based on auxological and clinical criteria proved highly cost-effective.
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Affiliation(s)
- Ramón Arroyo-Ruiz
- Pediatrics Department, Reference Unit for Rare Diseases DiERCyL, University Hospital of Salamanca, 37007 Salamanca, Spain
- Biomedical Research Institute of Salamanca IBSAL, 37007 Salamanca, Spain
| | - Cristina Urbano-Ruiz
- Pediatrics Department, Reference Unit for Rare Diseases DiERCyL, University Hospital of Salamanca, 37007 Salamanca, Spain
| | - María Belén García-Berrocal
- Biomedical Research Institute of Salamanca IBSAL, 37007 Salamanca, Spain
- Clinical Biochemistry Department, Reference Unit for Rare Diseases DiERCyL, University Hospital of Salamanca, 37007 Salamanca, Spain
| | - Elena Marcos-Vadillo
- Biomedical Research Institute of Salamanca IBSAL, 37007 Salamanca, Spain
- Clinical Biochemistry Department, Reference Unit for Rare Diseases DiERCyL, University Hospital of Salamanca, 37007 Salamanca, Spain
| | - María Isidoro-García
- Biomedical Research Institute of Salamanca IBSAL, 37007 Salamanca, Spain
- Clinical Biochemistry Department, Reference Unit for Rare Diseases DiERCyL, University Hospital of Salamanca, 37007 Salamanca, Spain
- Department of Medicine, University of Salamanca, 37008 Salamanca, Spain
| | - M Montserrat Martín-Alonso
- Biomedical Research Institute of Salamanca IBSAL, 37007 Salamanca, Spain
- Pediatrics Department, Endocrinolgy Unit, University Hospital of Salamanca, 37007 Salamanca, Spain
| | - Ana Fe Bajo-Delgado
- Pediatrics Department, Endocrinolgy Unit, University Hospital of Salamanca, 37007 Salamanca, Spain
| | - Pablo Prieto-Matos
- Pediatrics Department, Reference Unit for Rare Diseases DiERCyL, University Hospital of Salamanca, 37007 Salamanca, Spain
- Biomedical Research Institute of Salamanca IBSAL, 37007 Salamanca, Spain
- Department of Biomedical and Diagnostic Sciences, University of Salamanca, 37008 Salamanca, Spain
| | - Juan Pedro López-Siguero
- Department of Pediatric Endocrinology, University Hospital of Málaga, 29010 Málaga, Spain
- Biomedical Research Institute of Málaga IBIMA, 29590 Málaga, Spain
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95
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Bengur ET, Heeley J. Genetics and Primary Care: Raising Awareness and Enhancing Cooperation. MISSOURI MEDICINE 2024; 121:277-283. [PMID: 39575065 PMCID: PMC11578565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/24/2024]
Abstract
The rapid evolution of the field of genetics in the past several years has opened new opportunities for diagnosis of treatment of genetic disorders. However, the limited availability of medical geneticists has led to difficulty in meeting this evolving need. Integrating awareness of genetic disorders and genetic screening into primary care may facilitate early diagnosis, while strategic support and cooperative care between primary care physicians and geneticists can improve long term management.
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Affiliation(s)
- Ecenur Tuc Bengur
- Department of Pediatrics, Division of Genetics and Genomic Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Jennifer Heeley
- Department of Pediatrics, Division of Genetics and Genomic Medicine, Washington University School of Medicine, St. Louis, Missouri
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96
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Burghel GJ, Ellingford JM, Wright R, Bradford L, Miller J, Watt C, Edgerley J, Naeem F, Banka S. Systematic reanalysis of copy number losses of uncertain clinical significance. J Med Genet 2024; 61:621-625. [PMID: 38604752 DOI: 10.1136/jmg-2023-109559] [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: 10/12/2023] [Accepted: 03/28/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Reanalysis of exome/genome data improves diagnostic yield. However, the value of reanalysis of clinical array comparative genomic hybridisation (aCGH) data has never been investigated. Case-by-case reanalysis can be challenging in busy diagnostic laboratories. METHODS AND RESULTS We harmonised historical postnatal clinical aCGH results from ~16 000 patients tested via our diagnostic laboratory over ~7 years with current clinical guidance. This led to identification of 37 009 copy number losses (CNLs) including 33 857 benign, 2173 of uncertain significance and 979 pathogenic. We found benign CNLs to be significantly less likely to encompass haploinsufficient genes compared with the pathogenic or CNLs of uncertain significance in our database. Based on this observation, we developed a reanalysis pipeline using up-to-date disease association data and haploinsufficiency scores and shortlisted 207 CNLs of uncertain significance encompassing at least one autosomal dominant disease-gene associated with haploinsufficiency or loss-of-function mechanism. Clinical scientist reviews led to reclassification of 15 CNLs of uncertain significance as pathogenic or likely pathogenic. This was ~0.7% of the starting cohort of 2173 CNLs of uncertain significance and 7.2% of 207 shortlisted CNLs. The reclassified CNLs included first cases of CNV-mediated disease for some genes where all previously described cases involved only point variants. Interestingly, some CNLs could not be reclassified because the phenotypes of patients with CNLs seemed distinct from the known clinical features resulting from point variants, thus raising questions about accepted underlying disease mechanisms. CONCLUSIONS Reanalysis of clinical aCGH data increases diagnostic yield.
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Affiliation(s)
- George J Burghel
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Jamie M Ellingford
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Ronnie Wright
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Lauren Bradford
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jake Miller
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Christopher Watt
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jonathan Edgerley
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Farah Naeem
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Siddharth Banka
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
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Harrington CN, Morales A, Bernstein JA, Calderwood L. Implications of Provider Specialty, Test Type, and Demographic Factors on Genetic Testing Outcomes for Patients with Autism Spectrum Disorder. J Autism Dev Disord 2024:10.1007/s10803-024-06423-1. [PMID: 38858309 DOI: 10.1007/s10803-024-06423-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/23/2024] [Indexed: 06/12/2024]
Abstract
A minority of patients with autism spectrum disorder (ASD) are offered genetic testing by their providers or referred for genetics evaluation despite published guidelines and consensus statements supporting genetics-informed care for this population. This study aimed to investigate the ordering habits of providers of different specialties and to additionally assess the diagnostic utility of genetic testing by test type, patient sex, and race and ethnicity. We retrospectively analyzed data associated with orders for the indication of ASD from a large clinical laboratory over 6 years (2017-2022). Geneticists and neurologists were more likely than other specialists to order exome sequencing and neurodevelopmental (NDD) panel testing while other providers were more likely to order chromosomal microarray (CMA) and Fragile X testing. Exome had the highest diagnostic yield (24.5%), followed by NDD panel (6.4%), CMA (6.2%), and Fragile X testing (0.4%). Females were 1.4x (95% CI: 1.2-1.7) more likely than males to receive a genetic diagnosis. However, for Fragile X, males had a higher diagnostic yield than females (0.4% vs 0.2%). Our findings highlight the need to enable non-genetics providers to order comprehensive genetic testing or promote referral to genetics following negative CMA and/or Fragile X testing. Our data supports that ASD testing should include exome, CMA, and other clinically indicated tests, as first-tier tests, with the consideration of panel testing, in cases where exome sequencing is not an option. Lastly, our study helps to inform expectations for genetic testing yield by test type and patient presentation.
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Affiliation(s)
- Caitlin N Harrington
- Department of Pediatrics, Division of Medical Genetics, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Medicine Children's Health, Stanford, CA, USA.
| | - Ana Morales
- Translational Health Sciences Program, School of Medicine and Health Sciences, The George Washington University, Washington, DC, USA
| | - Jonathan A Bernstein
- Department of Pediatrics, Division of Medical Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Medicine Children's Health, Stanford, CA, USA
| | - Laurel Calderwood
- Department of Pediatrics, Division of Medical Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Medicine Children's Health, Stanford, CA, USA
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98
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Pagnamenta AT, Yu J, Walker S, Noble AJ, Lord J, Dutta P, Hashim M, Camps C, Green H, Devaiah S, Nashef L, Parr J, Fratter C, Ibnouf Hussein R, Lindsay SJ, Lalloo F, Banos-Pinero B, Evans D, Mallin L, Waite A, Evans J, Newman A, Allen Z, Perez-Becerril C, Ryan G, Hart R, Taylor J, Bedenham T, Clement E, Blair E, Hay E, Forzano F, Higgs J, Canham N, Majumdar A, McEntagart M, Lahiri N, Stewart H, Smithson S, Calpena E, Jackson A, Banka S, Titheradge H, McGowan R, Rankin J, Shaw-Smith C, Evans DG, Burghel GJ, Smith MJ, Anderson E, Madhu R, Firth H, Ellard S, Brennan P, Anderson C, Taupin D, Rogers MT, Cook JA, Durkie M, East JE, Fowler D, Wilson L, Igbokwe R, Gardham A, Tomlinson I, Baralle D, Uhlig HH, Taylor JC. The impact of inversions across 33,924 families with rare disease from a national genome sequencing project. Am J Hum Genet 2024; 111:1140-1164. [PMID: 38776926 PMCID: PMC11179413 DOI: 10.1016/j.ajhg.2024.04.018] [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: 11/12/2023] [Revised: 04/25/2024] [Accepted: 04/25/2024] [Indexed: 05/25/2024] Open
Abstract
Detection of structural variants (SVs) is currently biased toward those that alter copy number. The relative contribution of inversions toward genetic disease is unclear. In this study, we analyzed genome sequencing data for 33,924 families with rare disease from the 100,000 Genomes Project. From a database hosting >500 million SVs, we focused on 351 genes where haploinsufficiency is a confirmed disease mechanism and identified 47 ultra-rare rearrangements that included an inversion (24 bp to 36.4 Mb, 20/47 de novo). Validation utilized a number of orthogonal approaches, including retrospective exome analysis. RNA-seq data supported the respective diagnoses for six participants. Phenotypic blending was apparent in four probands. Diagnostic odysseys were a common theme (>50 years for one individual), and targeted analysis for the specific gene had already been performed for 30% of these individuals but with no findings. We provide formal confirmation of a European founder origin for an intragenic MSH2 inversion. For two individuals with complex SVs involving the MECP2 mutational hotspot, ambiguous SV structures were resolved using long-read sequencing, influencing clinical interpretation. A de novo inversion of HOXD11-13 was uncovered in a family with Kantaputra-type mesomelic dysplasia. Lastly, a complex translocation disrupting APC and involving nine rearranged segments confirmed a clinical diagnosis for three family members and resolved a conundrum for a sibling with a single polyp. Overall, inversions play a small but notable role in rare disease, likely explaining the etiology in around 1/750 families across heterogeneous clinical cohorts.
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Affiliation(s)
- Alistair T Pagnamenta
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK.
| | - Jing Yu
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK; Novo Nordisk Oxford Research Centre, Oxford, UK
| | | | - Alexandra J Noble
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford, UK
| | - Jenny Lord
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK; Sheffield Institute for Translational Neuroscience, The University of Sheffield, Sheffield, UK
| | - Prasun Dutta
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Mona Hashim
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Carme Camps
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Hannah Green
- Oxford Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Smrithi Devaiah
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Lina Nashef
- Department of Neurology, King's College Hospital, London, UK
| | - Jason Parr
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Carl Fratter
- Oxford Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Rana Ibnouf Hussein
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Sarah J Lindsay
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Fiona Lalloo
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Benito Banos-Pinero
- Oxford Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - David Evans
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Lucy Mallin
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Adrian Waite
- Bristol Genetics Laboratory, North Bristol NHS Trust, Bristol, UK
| | - Julie Evans
- Bristol Genetics Laboratory, North Bristol NHS Trust, Bristol, UK
| | - Andrew Newman
- The All Wales Medical Genomics Service, University Hospital of Wales, Cardiff, UK
| | - Zoe Allen
- North Thames Rare and Inherited Disease Laboratory, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Cristina Perez-Becerril
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Gavin Ryan
- West Midlands Regional Genetics Laboratory, Central and South Genomic Laboratory Hub, Birmingham, UK
| | - Rachel Hart
- Liverpool Centre for Genomic Medicine, Liverpool Women's NHS Foundation Trust, Liverpool, UK
| | - John Taylor
- Oxford Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Tina Bedenham
- Oxford Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Emma Clement
- North East Thames Regional Genetic Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Ed Blair
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Eleanor Hay
- North East Thames Regional Genetic Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Francesca Forzano
- Clinical Genetics Department, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Jenny Higgs
- Liverpool Centre for Genomic Medicine, Liverpool Women's NHS Foundation Trust, Liverpool, UK
| | - Natalie Canham
- Liverpool Centre for Genomic Medicine, Liverpool Women's NHS Foundation Trust, Liverpool, UK
| | - Anirban Majumdar
- Department of Paediatric Neurology, Bristol Children's Hospital, Bristol, UK
| | - Meriel McEntagart
- SW Thames Centre for Genomic Medicine, University of London & St George's University Hospitals NHS Foundation Trust, St George's, London, UK
| | - Nayana Lahiri
- SW Thames Centre for Genomic Medicine, University of London & St George's University Hospitals NHS Foundation Trust, St George's, London, UK
| | - Helen Stewart
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Sarah Smithson
- Department of Clinical Genetics, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Eduardo Calpena
- Clinical Genetics Group, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; Grupo de Investigación en Biomedicina Molecular, Celular y Genómica, Unidad CIBERER (CB06/07/1030), Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain
| | - Adam Jackson
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK; Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Siddharth Banka
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK; Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Hannah Titheradge
- Department of Clinical Genetics, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Ruth McGowan
- West of Scotland Centre for Genomic Medicine, Glasgow, UK
| | - Julia Rankin
- Department of Clinical Genetics, Royal Devon University Healthcare NHS Trust, Exeter, UK
| | - Charles Shaw-Smith
- Department of Clinical Genetics, Royal Devon University Healthcare NHS Trust, Exeter, UK
| | - D Gareth Evans
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK; Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - George J Burghel
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Miriam J Smith
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Emily Anderson
- Liverpool Centre for Genomic Medicine, Liverpool Women's NHS Foundation Trust, Liverpool, UK
| | - Rajesh Madhu
- Paediatric Neurosciences Department, Alder Hey Children's Hospital NHS Foundation Trust, Liverpool, UK
| | - Helen Firth
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Sian Ellard
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Paul Brennan
- Institute of Genetic Medicine, Newcastle University, International Centre for Life, Newcastle University, Newcastle, UK
| | - Claire Anderson
- Canberra Clinical Genomics, Canberra Health Services and The Australian National University, Canberra, ACT, Australia
| | - Doug Taupin
- Cancer Research, Canberra Hospital, Canberra, ACT, Australia
| | - Mark T Rogers
- The All Wales Medical Genomics Service, University Hospital of Wales, Cardiff, UK
| | - Jackie A Cook
- Department of Clinical Genetics, Sheffield Children's NHS Foundation Trust, Sheffield, UK
| | - Miranda Durkie
- Sheffield Diagnostic Genetics Service, Sheffield Children's NHS Foundation Trust, North East and Yorkshire Genomic Laboratory Hub, Sheffield, UK
| | - James E East
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford, UK
| | - Darren Fowler
- Department of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Louise Wilson
- North East Thames Regional Genetic Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Rebecca Igbokwe
- Department of Clinical Genetics, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Alice Gardham
- North East Thames Regional Genetic Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Ian Tomlinson
- Department of Oncology, University of Oxford, Oxford, UK
| | - Diana Baralle
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Holm H Uhlig
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK; Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford, UK
| | - Jenny C Taylor
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK.
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99
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Moradi B, Bahrami A, Vafaei SM, Sharifpour S, Shariatinia F, Rezvanimehr A, Rashidi-Nezhad A, Fathi M, Yaghoobpoor S, Ghorani H. Diagnostic and prognostic role of soft ultrasound markers in prenatal detection and assessment of foetal abnormalities. PRZEGLAD MENOPAUZALNY = MENOPAUSE REVIEW 2024; 23:94-108. [PMID: 39391522 PMCID: PMC11462147 DOI: 10.5114/pm.2024.141092] [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: 03/26/2024] [Accepted: 05/18/2024] [Indexed: 10/12/2024]
Abstract
Various soft markers can be detected in the ultrasonography of foetuses, which can be related to chromosomal abnormalities and increases the risk of abnormalities, or they can be considered as normal variations that can disappear due to the pregnancy progress. There are different tools to detect chromosomal abnormalities like conventional karyotyping, chromosomal microarray analysis (CMA), single nucleotide polymorphism (SNP) array, non-invasive prenatal test (NIPT), and non-invasive prenatal screening (NIPS). Therefore, in the present study, we aim to assess the accuracy of ultrasonic soft markers in the diagnosis of chromosomal abnormalities such as chromosomal structural abnormalities, aneuploidy, and triploidy, especially Trisomy 21 and Trisomy 18. A systemic literature search was performed using PubMed, Scopus, Google Scholar, and Web of Science. We gathered all articles published before August 2023. We selected English studies such as retrospective and cross-sectional ones that assessed the relationship between ultrasonic soft markers and foetal chromosomal abnormalities. A total of 10 articles with 18,580 cases were included in our systematic review article that assessed the foetal abnormalities and aneuploidies by using conventional karyotyping, SNP array, CMA, and NIPT (or NIPS). Trisomy 21, Trisomy 18, and chromosomal structural abnormalities were the most common abnormalities related to ultrasonic soft markers by karyotyping; however, Trisomy 13, 47, XXY, 45, X, and mosaic chromosomal abnormalities were other abnormalities detected. Results by CMA showed Trisomy 21 and Trisomy 18 as the most common abnormalities in the foetuses also with ultrasonic soft markers, and other abnormalities were pathogenic copy-number variations, Turner (XO), polyploidy, 22q11.2deletion, and Trisomy13, respectively. It was discovered that there is a greater possibility of having pathogenic copy number variations (CNVs) in the groups with multiple ultrasonic soft markers, while foetuses with ultrasonic soft markers have a decreased prevalence of CMA abnormality compared to those who had significant abnormalities or abnormal nuchal translucency. Trisomy 21 was the only abnormality found by NIPT in the groups with 1 and 2 soft markers, while groups with multiple soft markers were all normal. By using SNP array, it was identified that the rate of chromosomal abnormalities such as aneuploidy and triploidy, LOH, and CNVs was lower in the group with a single ultrasonic soft marker compared to the group with structural abnormalities in multiple systems. Trisomy 21, Trisomy 18, and chromosomal structural abnormalities were the most common chromosomal abnormalities that ultrasound soft markers could diagnose. Therefore, it is recommended to employ soft markers besides CMA, SNP array, and NIPS (or NIPT) for greater accuracy in detecting foetus abnormalities.
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Affiliation(s)
- Behnaz Moradi
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, Iran
| | - Ashkan Bahrami
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, Iran
- Faculty of Medicine, Kashan University of Medical Science, Kashan, Iran
| | - Seyedeh Maryam Vafaei
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, Iran
- School of medicine, Islamic Azad University, Tehran Medical Branch, Tehran, Iran
| | | | - Fatemeh Shariatinia
- Maternal-fetal medicine Research Center, Department of Obstetrics and Gynecology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ali Rezvanimehr
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, Iran
- Faculty of Medicine, Islamic Azad University, Tehran Medical Sciences Branch, Tehran, Iran
| | - Ali Rashidi-Nezhad
- Maternal, Fetal and Neonatal Research Center, Family Health Institute, Tehran University of Medical Sciences, Tehran, Iran
- Ronash Medical Laboratory, Tehran, Iran
| | - Mobina Fathi
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, Iran
- Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Shirin Yaghoobpoor
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, Iran
- Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hamed Ghorani
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, Iran
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100
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Maden Bedel F, Balasar Ö, Şimşek A, Tokgöz H, Çaksen H. Could the 14q23.2 microdeletion or AKAP5 haploinsufficiency be a potential cause of intellectual disability? Psychiatr Genet 2024; 34:71-73. [PMID: 38690958 DOI: 10.1097/ypg.0000000000000368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
Intellectual disability is characterized by impairment in at least two of the following areas: social skills, communication skills, self-care tasks, and academic skills. These impairments are evaluated in relation to the expected standards based on the individual's age and cultural levels. Additionally, intellectual disability is typically defined by a measurable level of intellectual functioning, represented by an intelligence quotients core of 70 or below. Autism spectrum disorder is a developmental disability resulting from differences in the brain, often characterized by problems in social communication and interaction, and limited or repetitive behaviors or interests. Hereditary spherocytosis is a disease characterized by anemia, jaundice, and splenomegaly as a result of increased tendency to hemolysis with morphological transformation of erythrocytes from biconcave disc-shaped cells with central pallor to spherocytes lacking central pallor due to hereditary injury of cellular membrane proteins. An 11-year-old female patient was referred to Pediatric Genetics Subdivision due to the presence of growth retardation and a diagnosis of hereditary spherocytosis. Since she also had dysmorphic facial features, such as frontal bossing, broad and prominent forehead, tubular nasal structure, and thin vermillion, genetic tests were performed. Chromosomal microarray analysis revealed a 2.5 Mb deletion in the 14q23.2q23.3 region. Deletion was also identified in the same region in her father, who had the same phenotypic characteristics, including hereditary spherocytosis and learning difficulties. We propose that the PLEKHG3 and AKAP5 genes, which are located in this region, may contribute to the development of intellectual disability.
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Affiliation(s)
- Fayize Maden Bedel
- Department of Pediatric Genetics, Faculty of Medicine, Necmettin Erbakan University
| | | | - Ayşe Şimşek
- Department of Pediatric Hematology, Konya City Hospital
| | - Hüseyin Tokgöz
- Department of Pediatric Hematology, Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey
| | - Hüseyin Çaksen
- Department of Pediatric Genetics, Faculty of Medicine, Necmettin Erbakan University
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