1
|
Namba T, Huttner WB. What Makes Us Human: Insights from the Evolution and Development of the Human Neocortex. Annu Rev Cell Dev Biol 2024; 40:427-452. [PMID: 39356810 DOI: 10.1146/annurev-cellbio-112122-032521] [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] [Indexed: 10/04/2024]
Abstract
"What makes us human?" is a central question of many research fields, notably anthropology. In this review, we focus on the development of the human neocortex, the part of the brain with a key role in cognition, to gain neurobiological insight toward answering this question. We first discuss cortical stem and progenitor cells and human-specific genes that affect their behavior. We thus aim to understand the molecular foundation of the expansion of the neocortex that occurred in the course of human evolution, as this expansion is generally thought to provide a basis for our unique cognitive abilities. We then review the emerging evidence pointing to differences in the development of the neocortex between present-day humans and Neanderthals, our closest relatives. Finally, we discuss human-specific genes that have been implicated in neuronal circuitry and offer a perspective for future studies addressing the question of what makes us human.
Collapse
Affiliation(s)
- Takashi Namba
- Neuroscience Center, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Wieland B Huttner
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany;
| |
Collapse
|
2
|
Jadhav B, Garg P, van Vugt JJFA, Ibanez K, Gagliardi D, Lee W, Shadrina M, Mokveld T, Dolzhenko E, Martin-Trujillo A, Gies SJ, Altman G, Rocca C, Barbosa M, Jain M, Lahiri N, Lachlan K, Houlden H, Paten B, Veldink J, Tucci A, Sharp AJ. A phenome-wide association study of methylated GC-rich repeats identifies a GCC repeat expansion in AFF3 associated with intellectual disability. Nat Genet 2024:10.1038/s41588-024-01917-1. [PMID: 39313615 DOI: 10.1038/s41588-024-01917-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 08/20/2024] [Indexed: 09/25/2024]
Abstract
GC-rich tandem repeat expansions (TREs) are often associated with DNA methylation, gene silencing and folate-sensitive fragile sites, and underlie several congenital and late-onset disorders. Through a combination of DNA-methylation profiling and tandem repeat genotyping, we identified 24 methylated TREs and investigated their effects on human traits using phenome-wide association studies in 168,641 individuals from the UK Biobank, identifying 156 significant TRE-trait associations involving 17 different TREs. Of these, a GCC expansion in the promoter of AFF3 was associated with a 2.4-fold reduced probability of completing secondary education, an effect size comparable to several recurrent pathogenic microdeletions. In a cohort of 6,371 probands with neurodevelopmental problems of suspected genetic etiology, we observed a significant enrichment of AFF3 expansions compared with controls. With a population prevalence that is at least fivefold higher than the TRE that causes fragile X syndrome, AFF3 expansions represent a major cause of neurodevelopmental delay.
Collapse
Affiliation(s)
- Bharati Jadhav
- Department of Genetics and Genomic Sciences and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Paras Garg
- Department of Genetics and Genomic Sciences and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joke J F A van Vugt
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Kristina Ibanez
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Delia Gagliardi
- William Harvey Research Institute, Queen Mary University of London, London, UK
- Department of Neuromuscular Diseases, Institute of Neurology, University College London, London, UK
| | - William Lee
- Department of Genetics and Genomic Sciences and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mariya Shadrina
- Department of Genetics and Genomic Sciences and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | - Alejandro Martin-Trujillo
- Department of Genetics and Genomic Sciences and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Scott J Gies
- Department of Genetics and Genomic Sciences and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gabrielle Altman
- Department of Genetics and Genomic Sciences and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Clarissa Rocca
- Department of Neuromuscular Diseases, Institute of Neurology, University College London, London, UK
| | - Mafalda Barbosa
- Department of Genetics and Genomic Sciences and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Miten Jain
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
- Northeastern University, Boston, MA, USA
| | - Nayana Lahiri
- SW Thames Centre for Genomics, St George's University of London & St George's University Hospitals NHS, London, UK
| | - Katherine Lachlan
- Wessex Clinical Genetics Service, University Hospital Southampton NHS Trust and Department of Human Genetics and Genomic Medicine, Southampton University, Southampton, UK
| | - Henry Houlden
- Department of Neuromuscular Diseases, Institute of Neurology, University College London, London, UK
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Jan Veldink
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Arianna Tucci
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Andrew J Sharp
- Department of Genetics and Genomic Sciences and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| |
Collapse
|
3
|
Okumura H, Hayashi Y, Arioka Y, Kushima I, Mori D, Ozaki N. Generation of induced pluripotent stem cells from a schizophrenia patient with heterozygous 1q21.1 deletion. Stem Cell Res 2024; 81:103555. [PMID: 39288675 DOI: 10.1016/j.scr.2024.103555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 09/08/2024] [Accepted: 09/09/2024] [Indexed: 09/19/2024] Open
Abstract
1q21.1 deletion has been identified as a risk factor related to not only mental disorders such as schizophrenia, but also congenital heart defects. However, at human cellular and molecular levels, it is still not known how this variant affects brain and heart development and contributes to the onset of these diseases. Here, we generated induced pluripotent stem cells (iPSCs) from a patient with 1q21.1 deletion. The iPSCs expressed stemness markers and exhibited the ability to differentiate into three germ layers in vitro. These iPSCs will be useful tools to understand the pathophysiology of mental disorders and heart defects in humans.
Collapse
Affiliation(s)
- Hiroki Okumura
- Pathophysiology of Mental Disorders, Nagoya University Graduate School of Medicine, Nagoya, Japan; Department of Hospital Pharmacy, Nagoya University Hospital, Nagoya, Japan
| | - Yu Hayashi
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuko Arioka
- Pathophysiology of Mental Disorders, Nagoya University Graduate School of Medicine, Nagoya, Japan; Center for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, Japan.
| | - Itaru Kushima
- Pathophysiology of Mental Disorders, Nagoya University Graduate School of Medicine, Nagoya, Japan; Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan; Medical Genomics Center, Nagoya University Hospital, Nagoya, Japan
| | - Daisuke Mori
- Pathophysiology of Mental Disorders, Nagoya University Graduate School of Medicine, Nagoya, Japan; Brain and Mind Research Center, Nagoya University, Nagoya, Japan
| | - Norio Ozaki
- Pathophysiology of Mental Disorders, Nagoya University Graduate School of Medicine, Nagoya, Japan; Institute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Japan
| |
Collapse
|
4
|
Liu L, Lei T, Guo F, Ma C, Zhen L, Zhang L, Li D. Prenatal diagnosis of the recurrent 1q21.1 microdeletions in fetuses with ultrasound anomalies and review of the literature. Front Genet 2024; 15:1448341. [PMID: 39268082 PMCID: PMC11390663 DOI: 10.3389/fgene.2024.1448341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Accepted: 08/13/2024] [Indexed: 09/15/2024] Open
Abstract
Objective The recurrent 1q21.1 microdeletion syndrome is an autosomal dominant disorder and is characterized by dysmorphic facial features, microcephaly, developmental delay, and congenital defects. However, most studies on the distal deletions in the 1q21.1 region were diagnosed postnatally. This study aimed to provide a better understanding of the ultrasound and molecular findings of fetuses with recurrent 1q21.1 microdeletions in prenatal diagnosis. Methods In this retrospective study, we reported 21 cases with the recurrent 1q21.1 microdeletion syndrome diagnosed at our prenatal diagnostic center from January 2016 to January 2023. The clinical data were reviewed for these cases, including the maternal demographics, indications for invasive testing, ultrasound findings, CMA results, and pregnancy outcomes. Results In the study, a total of 21 cases with recurrent 1q21.1 microdeletions were diagnosed prenatally by CMA. Fifteen cases were described with ultrasound indications, and the most common findings are as follows: increased nuchal translucency (NT) (26.7%), intrauterine growth retardation (IUGR) (26.7%), congenital heart defects (CHD) (20%), and congenital anomalies of the kidney and urinary tract (CAKUT) (13.3%). All the cases with the distal 1q21.1 deletions contain the common minimal region (located between BP3 and BP4) and eight OMIM genes. Parental studies to determine the inheritance of the deletion were performed for eight cases, and half of the cases were inherited from one of the parents. Pregnancy outcomes were available for nine cases; eight (88.9%) pregnancies were determined to be terminated and one (11.1%) was full-term delivery. Conclusion To our knowledge, this is the largest study to find that fetuses with recurrent 1q21.1 microdeletions were closely associated with increased NT, CHD, IUGR, and CAKUT. In addition, ours is the first study to report that cerebral ventriculomegaly might be associated with recurrent 1q21.1 microdeletions. More comprehensive studies are needed for a better understanding of the prenatal phenotype-genotype relationship of the recurrent 1q21.1 microdeletion syndrome in future.
Collapse
Affiliation(s)
- Lei Liu
- Department of Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Tingying Lei
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Fei Guo
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Chunling Ma
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Southern Medical University, Guangzhou, China
| | - Li Zhen
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Lina Zhang
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Dongzhi Li
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| |
Collapse
|
5
|
Azidane S, Gallego X, Durham L, Cáceres M, Guney E, Pérez-Cano L. Identification of novel driver risk genes in CNV loci associated with neurodevelopmental disorders. HGG ADVANCES 2024; 5:100316. [PMID: 38850022 PMCID: PMC11264174 DOI: 10.1016/j.xhgg.2024.100316] [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: 02/02/2024] [Revised: 06/03/2024] [Accepted: 06/03/2024] [Indexed: 06/09/2024] Open
Abstract
Copy-number variants (CNVs) are genome-wide structural variations involving the duplication or deletion of large nucleotide sequences. While these types of variations can be commonly found in humans, large and rare CNVs are known to contribute to the development of various neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD). Nevertheless, given that these NDD-risk CNVs cover broad regions of the genome, it is particularly challenging to pinpoint the critical gene(s) responsible for the manifestation of the phenotype. In this study, we performed a meta-analysis of CNV data from 11,614 affected individuals with NDDs and 4,031 control individuals from SFARI database to identify 41 NDD-risk CNV loci, including 24 novel regions. We also found evidence for dosage-sensitive genes within these regions being significantly enriched for known NDD-risk genes and pathways. In addition, a significant proportion of these genes was found to (1) converge in protein-protein interaction networks, (2) be among most expressed genes in the brain across all developmental stages, and (3) be hit by deletions that are significantly over-transmitted to individuals with ASD within multiplex ASD families from the iHART cohort. Finally, we conducted a burden analysis using 4,281 NDD cases from Decipher and iHART cohorts, and 2,504 neurotypical control individuals from 1000 Genomes and iHART, which resulted in the validation of the association of 162 dosage-sensitive genes driving risk for NDDs, including 22 novel NDD-risk genes. Importantly, most NDD-risk CNV loci entail multiple NDD-risk genes in agreement with a polygenic model associated with the majority of NDD cases.
Collapse
Affiliation(s)
- Sara Azidane
- STALICLA Discovery and Data Science Unit, World Trade Center, Moll de Barcelona, Edif Este, 08039 Barcelona, Spain; Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain
| | - Xavier Gallego
- STALICLA Discovery and Data Science Unit, World Trade Center, Moll de Barcelona, Edif Este, 08039 Barcelona, Spain
| | - Lynn Durham
- STALICLA Discovery and Data Science Unit, World Trade Center, Moll de Barcelona, Edif Este, 08039 Barcelona, Spain
| | - Mario Cáceres
- Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain; ICREA, 08010 Barcelona, Spain; Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute, Barcelona, Spain
| | - Emre Guney
- STALICLA Discovery and Data Science Unit, World Trade Center, Moll de Barcelona, Edif Este, 08039 Barcelona, Spain
| | - Laura Pérez-Cano
- STALICLA Discovery and Data Science Unit, World Trade Center, Moll de Barcelona, Edif Este, 08039 Barcelona, Spain.
| |
Collapse
|
6
|
Abedini SS, Akhavantabasi S, Liang Y, Heng JIT, Alizadehsani R, Dehzangi I, Bauer DC, Alinejad-Rokny H. A critical review of the impact of candidate copy number variants on autism spectrum disorder. MUTATION RESEARCH. REVIEWS IN MUTATION RESEARCH 2024; 794:108509. [PMID: 38977176 DOI: 10.1016/j.mrrev.2024.108509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 04/14/2024] [Accepted: 07/02/2024] [Indexed: 07/10/2024]
Abstract
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder (NDD) influenced by genetic, epigenetic, and environmental factors. Recent advancements in genomic analysis have shed light on numerous genes associated with ASD, highlighting the significant role of both common and rare genetic mutations, as well as copy number variations (CNVs), single nucleotide polymorphisms (SNPs) and unique de novo variants. These genetic variations disrupt neurodevelopmental pathways, contributing to the disorder's complexity. Notably, CNVs are present in 10 %-20 % of individuals with autism, with 3 %-7 % detectable through cytogenetic methods. While the role of submicroscopic CNVs in ASD has been recently studied, their association with genomic loci and genes has not been thoroughly explored. In this review, we focus on 47 CNV regions linked to ASD, encompassing 1632 genes, including protein-coding genes and long non-coding RNAs (lncRNAs), of which 659 show significant brain expression. Using a list of ASD-associated genes from SFARI, we detect 17 regions harboring at least one known ASD-related protein-coding gene. Of the remaining 30 regions, we identify 24 regions containing at least one protein-coding gene with brain-enriched expression and a nervous system phenotype in mouse mutants, and one lncRNA with both brain-enriched expression and upregulation in iPSC to neuron differentiation. This review not only expands our understanding of the genetic diversity associated with ASD but also underscores the potential of lncRNAs in contributing to its etiology. Additionally, the discovered CNVs will be a valuable resource for future diagnostic, therapeutic, and research endeavors aimed at prioritizing genetic variations in ASD.
Collapse
Affiliation(s)
- Seyedeh Sedigheh Abedini
- UNSW BioMedical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW 2052, Australia; School of Biotechnology & Biomolecular Sciences, UNSW Sydney, Sydney, NSW 2052, Australia
| | - Shiva Akhavantabasi
- Department of Molecular Biology and Genetics, Yeni Yuzyil University, Istanbul, Turkey; Ghiaseddin Jamshid Kashani University, Andisheh University Town, Danesh Blvd, 3441356611, Abyek, Qazvin, Iran
| | - Yuheng Liang
- UNSW BioMedical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW 2052, Australia
| | - Julian Ik-Tsen Heng
- Curtin Health Innovation Research Institute, Curtin University, Bentley 6845, Australia
| | - Roohallah Alizadehsani
- Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Victoria, Australia
| | - Iman Dehzangi
- Center for Computational and Integrative Biology, Rutgers University, Camden, NJ 08102, USA; Department of Computer Science, Rutgers University, Camden, NJ 08102, USA
| | - Denis C Bauer
- Transformational Bioinformatics, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, Australia; Applied BioSciences, Faculty of Science and Engineering, Macquarie University, Macquarie Park, Australia
| | - Hamid Alinejad-Rokny
- UNSW BioMedical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW 2052, Australia; Tyree Institute of Health Engineering (IHealthE), UNSW Sydney, Sydney, NSW 2052, Australia.
| |
Collapse
|
7
|
Sha Z, Sun KY, Jung B, Barzilay R, Moore TM, Almasy L, Forsyth JK, Prem S, Gandal MJ, Seidlitz J, Glessner JT, Alexander-Bloch AF. The copy number variant architecture of psychopathology and cognitive development in the ABCD ® study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.14.24307376. [PMID: 38798629 PMCID: PMC11118651 DOI: 10.1101/2024.05.14.24307376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Importance Childhood is a crucial developmental phase for mental health and cognitive function, both of which are commonly affected in patients with psychiatric disorders. This neurodevelopmental trajectory is shaped by a complex interplay of genetic and environmental factors. While common genetic variants account for a large proportion of inherited genetic risk, rare genetic variations, particularly copy number variants (CNVs), play a significant role in the genetic architecture of neurodevelopmental disorders. Despite their importance, the relevance of CNVs to child psychopathology and cognitive function in the general population remains underexplored. Objective Investigating CNV associations with dimensions of child psychopathology and cognitive functions. Design Setting and Participants ABCD® study focuses on a cohort of over 11,875 youth aged 9 to 10, recruited from 21 sites in the US, aiming to investigate the role of various factors, including brain, environment, and genetic factors, in the etiology of mental and physical health from middle childhood through early adulthood. Data analysis occurred from April 2023 to April 2024. Main Outcomes and Measures In this study, we utilized PennCNV and QuantiSNP algorithms to identify duplications and deletions larger than 50Kb across a cohort of 11,088 individuals from the Adolescent Brain Cognitive Development® study. CNVs meeting quality control standards were subjected to a genome-wide association scan to identify regions associated with quantitative measures of broad psychiatric symptom domains and cognitive outcomes. Additionally, a CNV risk score, reflecting the aggregated burden of genetic intolerance to inactivation and dosage sensitivity, was calculated to assess its impact on variability in overall and dimensional child psychiatric and cognitive phenotypes. Results In a final sample of 8,564 individuals (mean age=9.9 years, 4,532 males) passing quality control, we identified 4,111 individuals carrying 5,760 autosomal CNVs. Our results revealed significant associations between specific CNVs and our phenotypes of interest, psychopathology and cognitive function. For instance, a duplication at 10q26.3 was associated with overall psychopathology, and somatic complaints in particular. Additionally, deletions at 1q12.1, along with duplications at 14q11.2 and 10q26.3, were linked to overall cognitive function, with particular contributions from fluid intelligence (14q11.2), working memory (10q26.3), and reading ability (14q11.2). Moreover, individuals carrying CNVs previously associated with neurodevelopmental disorders exhibited greater impairment in social functioning and cognitive performance across multiple domains, in particular working memory. Notably, a higher deletion CNV risk score was significantly correlated with increased overall psychopathology (especially in dimensions of social functioning, thought disorder, and attention) as well as cognitive impairment across various domains. Conclusions and Relevance In summary, our findings shed light on the contributions of CNVs to interindividual variability in complex traits related to neurocognitive development and child psychopathology.
Collapse
Affiliation(s)
- Zhiqiang Sha
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Kevin Y. Sun
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Benjamin Jung
- Section on Neurobehavioral and Clinical Research, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ran Barzilay
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Tyler M. Moore
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Laura Almasy
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Smrithi Prem
- Department of Neuroscience and Cell Biology, Rutgers Robert Wood Johnson Medical School, Piscataway, NJ, USA
- Graduate Program in Neuroscience, Rutgers University, Piscataway, NJ, USA
| | - Michael J. Gandal
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jakob Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Joseph T. Glessner
- Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Aaron F. Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| |
Collapse
|
8
|
Alfayyadh MM, Maksemous N, Sutherland HG, Lea RA, Griffiths LR. Unravelling the Genetic Landscape of Hemiplegic Migraine: Exploring Innovative Strategies and Emerging Approaches. Genes (Basel) 2024; 15:443. [PMID: 38674378 PMCID: PMC11049430 DOI: 10.3390/genes15040443] [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: 03/12/2024] [Accepted: 03/25/2024] [Indexed: 04/28/2024] Open
Abstract
Migraine is a severe, debilitating neurovascular disorder. Hemiplegic migraine (HM) is a rare and debilitating neurological condition with a strong genetic basis. Sequencing technologies have improved the diagnosis and our understanding of the molecular pathophysiology of HM. Linkage analysis and sequencing studies in HM families have identified pathogenic variants in ion channels and related genes, including CACNA1A, ATP1A2, and SCN1A, that cause HM. However, approximately 75% of HM patients are negative for these mutations, indicating there are other genes involved in disease causation. In this review, we explored our current understanding of the genetics of HM. The evidence presented herein summarises the current knowledge of the genetics of HM, which can be expanded further to explain the remaining heritability of this debilitating condition. Innovative bioinformatics and computational strategies to cover the entire genetic spectrum of HM are also discussed in this review.
Collapse
Affiliation(s)
| | | | | | | | - Lyn R. Griffiths
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia; (M.M.A.); (N.M.); (H.G.S.); (R.A.L.)
| |
Collapse
|
9
|
Kopal J, Kumar K, Shafighi K, Saltoun K, Modenato C, Moreau CA, Huguet G, Jean-Louis M, Martin CO, Saci Z, Younis N, Douard E, Jizi K, Beauchamp-Chatel A, Kushan L, Silva AI, van den Bree MBM, Linden DEJ, Owen MJ, Hall J, Lippé S, Draganski B, Sønderby IE, Andreassen OA, Glahn DC, Thompson PM, Bearden CE, Zatorre R, Jacquemont S, Bzdok D. Using rare genetic mutations to revisit structural brain asymmetry. Nat Commun 2024; 15:2639. [PMID: 38531844 PMCID: PMC10966068 DOI: 10.1038/s41467-024-46784-w] [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: 05/22/2023] [Accepted: 03/11/2024] [Indexed: 03/28/2024] Open
Abstract
Asymmetry between the left and right hemisphere is a key feature of brain organization. Hemispheric functional specialization underlies some of the most advanced human-defining cognitive operations, such as articulated language, perspective taking, or rapid detection of facial cues. Yet, genetic investigations into brain asymmetry have mostly relied on common variants, which typically exert small effects on brain-related phenotypes. Here, we leverage rare genomic deletions and duplications to study how genetic alterations reverberate in human brain and behavior. We designed a pattern-learning approach to dissect the impact of eight high-effect-size copy number variations (CNVs) on brain asymmetry in a multi-site cohort of 552 CNV carriers and 290 non-carriers. Isolated multivariate brain asymmetry patterns spotlighted regions typically thought to subserve lateralized functions, including language, hearing, as well as visual, face and word recognition. Planum temporale asymmetry emerged as especially susceptible to deletions and duplications of specific gene sets. Targeted analysis of common variants through genome-wide association study (GWAS) consolidated partly diverging genetic influences on the right versus left planum temporale structure. In conclusion, our gene-brain-behavior data fusion highlights the consequences of genetically controlled brain lateralization on uniquely human cognitive capacities.
Collapse
Affiliation(s)
- Jakub Kopal
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Kuldeep Kumar
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Kimia Shafighi
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Karin Saltoun
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Claudia Modenato
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Clara A Moreau
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Guillaume Huguet
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | | | | | - Zohra Saci
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Nadine Younis
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Elise Douard
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Khadije Jizi
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Alexis Beauchamp-Chatel
- Institut universitaire en santé mentale de Montréal, University of Montréal, Montréal, Canada
- Department of Psychiatry, University of Montreal, Montréal, Canada
| | - Leila Kushan
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Ana I Silva
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Marianne B M van den Bree
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, UK
| | - David E J Linden
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, UK
| | - Michael J Owen
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Jeremy Hall
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Sarah Lippé
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Bogdan Draganski
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
- Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Ida E Sønderby
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Robert Zatorre
- International Laboratory for Brain, Music and Sound Research, Montreal, QC, Canada
- TheNeuro - Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Sébastien Jacquemont
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
- Department of Pediatrics, University of Montréal, Montréal, Quebec, Canada
| | - Danilo Bzdok
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada.
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada.
- TheNeuro - Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre, Faculty of Medicine, McGill University, Montreal, QC, Canada.
| |
Collapse
|
10
|
Bourgois A, Bizaoui V, Colson C, Vincent-Devulder A, Molin A, Gérard M, Gruchy N. Phenotypic and genotypic characterization of 1q21.1 copy number variants: A report of 34 new individuals and literature review. Am J Med Genet A 2024; 194:e63457. [PMID: 37881147 DOI: 10.1002/ajmg.a.63457] [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: 08/16/2022] [Revised: 09/01/2023] [Accepted: 10/12/2023] [Indexed: 10/27/2023]
Abstract
Recurrent 1q21.1 copy number variants (CNVs) have been associated with a wide spectrum of clinical features, ranging from normal phenotype to moderate intellectual disability, with congenital anomalies and dysmorphic features. They are often inherited from unaffected parents and the pathogenicity is difficult to assess. We describe the phenotypic and genotypic data for 34 probands carrying CNVs in the 1q21.1 chromosome region (24 duplications, 8 deletions and 2 triplications). We also reviewed 89 duplications, 114 deletions and 5 triplications described in the literature, at variable 1q21.1 locations. We aimed to identify the most highly associated clinical features to determine the phenotypic expression in affected individuals. Developmental delay or learning disabilities and neuropsychiatric disorders were common in patients with deletions, duplications and triplications of 1q21.1. Mild dysmorphic features common in these CNVs include a prominent forehead, widely spaced eyes and a broad nose. The CNVs were mostly inherited from apparently unaffected parents. Almost half of the CNVs were distal, overlapping with a common minimal region of 1.2 Mb. We delineated the clinical implications of 1q21.1 CNVs and confirmed that these CNVs are likely pathogenic, although subject to incomplete penetrance and variable expressivity. Long-term follow-up should be performed to each newly diagnosed case, and prenatal genetic counseling cautiously discussed, as it remains difficult to predict the phenotype in the event of an antenatal diagnosis.
Collapse
Affiliation(s)
- Alexia Bourgois
- Normandy University, UNICAEN, Caen University Hospital, Department of Genetics, UR 7450 BioTARGen, FHU G4 Genomics, Caen, France
| | | | - Cindy Colson
- CHU Lille, University of Lille, EA7364, Lille, France
| | - Aline Vincent-Devulder
- Normandy University, UNICAEN, Caen University Hospital, Department of Genetics, UR 7450 BioTARGen, FHU G4 Genomics, Caen, France
| | - Arnaud Molin
- Normandy University, UNICAEN, Caen University Hospital, Department of Genetics, UR 7450 BioTARGen, FHU G4 Genomics, Caen, France
| | - Marion Gérard
- Normandy University, UNICAEN, Caen University Hospital, Department of Genetics, UR 7450 BioTARGen, FHU G4 Genomics, Caen, France
| | - Nicolas Gruchy
- Normandy University, UNICAEN, Caen University Hospital, Department of Genetics, UR 7450 BioTARGen, FHU G4 Genomics, Caen, France
| |
Collapse
|
11
|
Kang H, Chen Y, Wang L, Gao C, Li X, Hu Y. Pathogenic recurrent copy number variants in 7,078 pregnancies via chromosomal microarray analysis. J Perinat Med 2024; 52:171-180. [PMID: 38081620 DOI: 10.1515/jpm-2022-0580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 09/30/2023] [Indexed: 02/09/2024]
Abstract
OBJECTIVES To investigate the incidence of pathogenic recurrent CNVs in fetuses with different referral indications and review the intrauterine phenotypic features of each CNV. METHODS A total of 7,078 amniotic fluid samples were collected for chromosome microarray analysis (CMA) and cases carrying pathogenic recurrent CNVs were further studied. RESULTS The highest incidence of pathogenic recurrent CNVs was 2.25 % in fetal ultrasound anomalies (FUA) group. Moreover, regardless of other indications, pregnant women with advanced maternal age have a lower incidence compared with whom less than 35 years old (p<0.05). In total 1.17 % (83/7,078) samples carried pathogenic recurrent CNVs: 20 cases with 22q11.2 recurrent region (12 microdeletion and eight microduplication), 11 with 1q21.1 (five microdeletion and six microduplication) and 16p13.11 (four microdeletion and seven microduplication), 10 with 15q11.2 recurrent microdeletion, seven with Xp22.31 recurrent microdeletion and 16p11.2 (three microdeletion and four microduplication), four with 7q11.23 (two microdeletion and two microduplication), three with 17p11.2 (three microdeletion), 17p12 (two microdeletion and one microduplication) and 17q12 (two microdeletion and one microduplication). The rest ones were rare in this study. CONCLUSIONS Pathogenic recurrent CNVs are more likely to be identified in FUA group. Pregnant women with advanced maternal age have a lower incidence of pathogenic recurrent CNVs. The profile of pathogenic recurrent CNVs between prenatal and postnatal is different, especially in 22q11.2, 1q21.1, 15q13.3 recurrent region and 15q11.2 deletion.
Collapse
Affiliation(s)
- Han Kang
- Prenatal Diagnosis Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| | - Yifei Chen
- Prenatal Diagnosis Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| | - Lingxi Wang
- Prenatal Diagnosis Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| | - Chonglan Gao
- Prenatal Diagnosis Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| | - Xingyu Li
- Prenatal Diagnosis Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| | - Yu Hu
- Prenatal Diagnosis Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| |
Collapse
|
12
|
Nappi F. In-Depth Genomic Analysis: The New Challenge in Congenital Heart Disease. Int J Mol Sci 2024; 25:1734. [PMID: 38339013 PMCID: PMC10855915 DOI: 10.3390/ijms25031734] [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: 01/02/2024] [Revised: 01/25/2024] [Accepted: 01/27/2024] [Indexed: 02/12/2024] Open
Abstract
The use of next-generation sequencing has provided new insights into the causes and mechanisms of congenital heart disease (CHD). Examinations of the whole exome sequence have detected detrimental gene variations modifying single or contiguous nucleotides, which are characterised as pathogenic based on statistical assessments of families and correlations with congenital heart disease, elevated expression during heart development, and reductions in harmful protein-coding mutations in the general population. Patients with CHD and extracardiac abnormalities are enriched for gene classes meeting these criteria, supporting a common set of pathways in the organogenesis of CHDs. Single-cell transcriptomics data have revealed the expression of genes associated with CHD in specific cell types, and emerging evidence suggests that genetic mutations disrupt multicellular genes essential for cardiogenesis. Metrics and units are being tracked in whole-genome sequencing studies.
Collapse
Affiliation(s)
- Francesco Nappi
- Department of Cardiac Surgery, Centre Cardiologique du Nord, 93200 Saint-Denis, France
| |
Collapse
|
13
|
Fox JC, Dutta R, Nihalani BR, Ponte A, Talsness DM, VanderVeen DK, Steiner RD, Freedman SF. Identification of pathogenic genetic variants in patients with acquired early-onset bilateral cataracts using next-generation sequencing. J AAPOS 2024; 28:103808. [PMID: 38216115 DOI: 10.1016/j.jaapos.2023.11.011] [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: 08/03/2023] [Revised: 11/03/2023] [Accepted: 11/06/2023] [Indexed: 01/14/2024]
Abstract
BACKGROUND Acquired early-onset bilateral cataracts can result from systemic etiologies or genetic disorders. METHODS In this observational study, we analyzed individuals 18 months to 35 years of age with acquired bilateral cataracts via a next-generation sequencing panel of 66 genes to identify disease-causing genetic variants. RESULTS Of 347 patients enrolled, 313 (90.2%) were <19 years (median, 8 years). We identified 74 pathogenic or likely pathogenic variants in 69 patients. Of the variants, we observed 64 single nucleotide variants (SNV) in 24 genes and 10 copy number variants (CNV) of varying size and genomic location. SNVs in crystallin genes were most common, accounting for 27.0% of all variants (20 of 74). Of those, recurrent variants included known cataract-causing variants CRYBA1 c.215+1G>A, observed in 3 patients, and CRYBA1 c.272_274delGAG, CRYBB2 c.463C>T and c.562C>T, and CRYAA c.62G>A, each observed in 2 patients. In 5 patients, we identified CNV deletions ranging from 1.32-2.41 Mb in size associated with 1q21.1 microdeletion syndrome. Biallelic variants in CYP27A1 were identified in two siblings, one as part of targeted follow-up family testing, who were subsequently diagnosed with cerebrotendinous xanthomatosis, a rare but treatable autosomal recessive disease that often presents with acquired early-onset bilateral cataracts. CONCLUSIONS This study demonstrates the utility of genetic testing in individuals with acquired early-onset bilateral cataracts to help clarify etiology. Identification of causative genetic variants can inform patient management and facilitate genetic counseling by identifying genetic conditions with risk of recurrence in families.
Collapse
Affiliation(s)
- Jamie C Fox
- PreventionGenetics, Exact Sciences, Marshfield, Wisconsin.
| | - Rana Dutta
- Mirum Pharmaceuticals, Inc., Foster City, California
| | - Bharti R Nihalani
- Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Amy Ponte
- Sanofi, Inc., Cambridge, Massachusetts
| | | | | | - Robert D Steiner
- PreventionGenetics, Exact Sciences, Marshfield, Wisconsin; University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Sharon F Freedman
- Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina
| |
Collapse
|
14
|
Jadhav B, Garg P, van Vugt JJFA, Ibanez K, Gagliardi D, Lee W, Shadrina M, Mokveld T, Dolzhenko E, Martin-Trujillo A, Gies SL, Rocca C, Barbosa M, Jain M, Lahiri N, Lachlan K, Houlden H, Paten B, Veldink J, Tucci A, Sharp AJ. A phenome-wide association study of methylated GC-rich repeats identifies a GCC repeat expansion in AFF3 as a significant cause of intellectual disability. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.03.23289461. [PMID: 37205357 PMCID: PMC10187445 DOI: 10.1101/2023.05.03.23289461] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
GC-rich tandem repeat expansions (TREs) are often associated with DNA methylation, gene silencing and folate-sensitive fragile sites and underlie several congenital and late-onset disorders. Through a combination of DNA methylation profiling and tandem repeat genotyping, we identified 24 methylated TREs and investigated their effects on human traits using PheWAS in 168,641 individuals from the UK Biobank, identifying 156 significant TRE:trait associations involving 17 different TREs. Of these, a GCC expansion in the promoter of AFF3 was linked with a 2.4-fold reduced probability of completing secondary education, an effect size comparable to several recurrent pathogenic microdeletions. In a cohort of 6,371 probands with neurodevelopmental problems of suspected genetic etiology, we observed a significant enrichment of AFF3 expansions compared to controls. With a population prevalence that is at least 5-fold higher than the TRE that causes fragile X syndrome, AFF3 expansions represent a significant cause of neurodevelopmental delay.
Collapse
|
15
|
Levy M, Shohat M, Kahana S, Matar R, Klein K, Fishman IA, Gurevitch M, Basel-Salmon L, Maya I. Proximal 1q21 duplication: A syndrome or a susceptibility locus? Am J Med Genet A 2023; 191:2551-2557. [PMID: 37357910 DOI: 10.1002/ajmg.a.63333] [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: 03/31/2023] [Revised: 06/07/2023] [Accepted: 06/09/2023] [Indexed: 06/27/2023]
Abstract
Proximal 1q21 microduplication is an incomplete penetrance and variable expressivity syndrome. This study reports 28 new cases and summarizes data on phenotype, gender, and parental origin. Data on isolated proximal 1q21.1 microduplications (g. chr1:145,394,956-145,762,959 GRCh37/hg19) was retrieved in postnatal and prenatal "clinical cases" group, and prenatal "control group." The "clinical cases" cases included cases where chromosomal microarray (CMA) was performed due to congenital anomalies, autism spectrum disorder, seizures, and developmental delay/intellectual disability. The "control group" cases consisted of fetal CMA performed upon parental request despite normal nuchal translucency and anatomical second trimester fetal scans. We analyzed a local database of 27,990 cases and another cohort of 80,000 cases (including both indicated and non-indicated cases) for population frequency analysis. A total of 62 heterozygous cases were found, including 28 index cases and 34 family members. Among the index cases, 13 (9 males, 4 females) were identified in the "clinical cases" group, of which 10 had developmental abnormalities. Parental origin was tested in 9/13 cases, and all were found to be maternally inherited. In the "control group," which comprised non-affected cases, of 15 cases (10 males, 5 females), only 5/11 were maternally inherited. Four cases with clinical follow-up showed no reported neurodevelopmental abnormalities. No de-novo cases were detected, and the population frequency in both cohorts was 1:1000. Proximal 1q21.1 microduplication is a recurrent copy number variant, associated with neurodevelopmental abnormalities. It has a greater impact on males inheriting it from their mothers than females from their fathers.
Collapse
Affiliation(s)
- Michal Levy
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Mordechai Shohat
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Maccabi Genetic Institute & Bioinformatics Unit, Sheba Cancer Research Center, Ramat Gan, Israel
| | - Sarit Kahana
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
| | - Reut Matar
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
| | - Kochav Klein
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
| | - Ifat Agmon Fishman
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
| | - Merav Gurevitch
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
| | - Lina Basel-Salmon
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Felsenstein Medical Research Center, Tel Aviv University, Tel Aviv, Israel
| | - Idit Maya
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| |
Collapse
|
16
|
Landis BJ, Helvaty LR, Geddes GC, Lin JI, Yatsenko SA, Lo CW, Border WL, Wechsler SB, Murali CN, Azamian MS, Lalani SR, Hinton RB, Garg V, McBride KL, Hodge JC, Ware SM. A Multicenter Analysis of Abnormal Chromosomal Microarray Findings in Congenital Heart Disease. J Am Heart Assoc 2023; 12:e029340. [PMID: 37681527 PMCID: PMC10547279 DOI: 10.1161/jaha.123.029340] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 05/24/2023] [Indexed: 09/09/2023]
Abstract
Background Chromosomal microarray analysis (CMA) provides an opportunity to understand genetic causes of congenital heart disease (CHD). The methods for describing cardiac phenotypes in patients with CMA abnormalities have been inconsistent, which may complicate clinical interpretation of abnormal testing results and hinder a more complete understanding of genotype-phenotype relationships. Methods and Results Patients with CHD and abnormal clinical CMA were accrued from 9 pediatric cardiac centers. Highly detailed cardiac phenotypes were systematically classified and analyzed for their association with CMA abnormality. Hierarchical classification of each patient into 1 CHD category facilitated broad analyses. Inclusive classification allowing multiple CHD types per patient provided sensitive descriptions. In 1363 registry patients, 28% had genomic disorders with well-recognized CHD association, 67% had clinically reported copy number variants (CNVs) with rare or no prior CHD association, and 5% had regions of homozygosity without CNV. Hierarchical classification identified expected CHD categories in genomic disorders, as well as uncharacteristic CHDs. Inclusive phenotyping provided sensitive descriptions of patients with multiple CHD types, which occurred commonly. Among CNVs with rare or no prior CHD association, submicroscopic CNVs were enriched for more complex types of CHD compared with large CNVs. The submicroscopic CNVs that contained a curated CHD gene were enriched for left ventricular obstruction or septal defects, whereas CNVs containing a single gene were enriched for conotruncal defects. Neuronal-related pathways were over-represented in single-gene CNVs, including top candidate causative genes NRXN3, ADCY2, and HCN1. Conclusions Intensive cardiac phenotyping in multisite registry data identifies genotype-phenotype associations in CHD patients with abnormal CMA.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | - Chaya N. Murali
- Baylor College of MedicineHoustonTX
- Texas Children’s HospitalHoustonTX
| | | | - Seema R. Lalani
- Baylor College of MedicineHoustonTX
- Texas Children’s HospitalHoustonTX
| | | | - Vidu Garg
- Nationwide Children’s HospitalThe Ohio State UniversityColumbusOH
| | - Kim L. McBride
- Nationwide Children’s HospitalThe Ohio State UniversityColumbusOH
- University of CalgaryCalgaryCanada
| | | | | |
Collapse
|
17
|
Yue F, Yang X, Jiang Y, Li S, Liu R, Zhang H. Prenatal phenotypes and pregnancy outcomes of fetuses with recurrent 1q21.1 microdeletions and microduplications. Front Med (Lausanne) 2023; 10:1207891. [PMID: 37692779 PMCID: PMC10484100 DOI: 10.3389/fmed.2023.1207891] [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: 04/18/2023] [Accepted: 07/19/2023] [Indexed: 09/12/2023] Open
Abstract
Objective Chromosomal 1q21.1 deletions and duplications are genomic disorders that are usually diagnosed postnatally. However, the genotype-phenotype correlations of 1q21.1 copy number variants (CNVs) during the prenatal period are still not clear. This study aimed to provide a systematic summary of prenatal phenotypes for such genomic disorders. Methods In total, 26 prenatal amniotic fluid samples diagnosed with 1q21.1 microdeletions/microduplications were obtained from pregnant women who opted for invasive prenatal testing. Karyotypic analysis and chromosomal microarray analysis (CMA) were performed for all cases simultaneously. The pregnancy outcomes and health conditions after birth in all cases were followed up. Meanwhile, prenatal cases with 1q21.1 microdeletions or microduplications in the literature were retrospectively collected. Results In total, 11 pregnancies (11/8,252, 0.13%) with 1q21.1 microdeletions and 15 (15/8,252, 0.18%) with 1q21.1 microduplications were identified. Among these 1q21.1 CNVs, 4 cases covered the thrombocytopenia-absent radius (TAR) region, 16 cases covered the 1q21.1 recurrent microdeletion/microduplication region, and 6 cases covered all regions mentioned above. The prenatal abnormal ultrasound findings were recorded in four participants with 1q21.1 deletions and seven participants with 1q21.1 duplications. Finally, three cases with 1q21.1 deletions and five with 1q21.1 duplications terminated their pregnancies. Conclusion In the prenatal setting, 1q21.1 microdeletions were associated with increased nuchal translucency (NT), anomalies of the urinary system, and cardiovascular abnormalities, while 1q21.1 microduplications were correlated with cardiovascular malformations, nasal bone dysplasia, and increased NT. In addition, cerebral ventriculomegaly might be correlated with 1q21.1 microduplications. Considering the variable expressivity and incomplete penetrance of 1q21.1 CNVs, long-term follow-up after birth should be carried out in these cases.
Collapse
Affiliation(s)
- Fagui Yue
- Center for Reproductive Medicine and Center for Prenatal Diagnosis, First Hospital, Jilin University, Changchun, China
- Jilin Engineering Research Center for Reproductive Medicine and Genetics, Jilin University, Changchun, China
| | - Xiao Yang
- Center for Reproductive Medicine and Center for Prenatal Diagnosis, First Hospital, Jilin University, Changchun, China
- Jilin Engineering Research Center for Reproductive Medicine and Genetics, Jilin University, Changchun, China
| | - Yuting Jiang
- Center for Reproductive Medicine and Center for Prenatal Diagnosis, First Hospital, Jilin University, Changchun, China
- Jilin Engineering Research Center for Reproductive Medicine and Genetics, Jilin University, Changchun, China
| | - Shibo Li
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Ruizhi Liu
- Center for Reproductive Medicine and Center for Prenatal Diagnosis, First Hospital, Jilin University, Changchun, China
- Jilin Engineering Research Center for Reproductive Medicine and Genetics, Jilin University, Changchun, China
| | - Hongguo Zhang
- Center for Reproductive Medicine and Center for Prenatal Diagnosis, First Hospital, Jilin University, Changchun, China
- Jilin Engineering Research Center for Reproductive Medicine and Genetics, Jilin University, Changchun, China
| |
Collapse
|
18
|
Guo N, Xue H, Liang B, Huang H, Cai M, Xu L. Genetic and ultrasonographic analyses of fetuses with 1q21.1q21.2 microdeletion/microduplication: a retrospective study. BMC Med Genomics 2023; 16:197. [PMID: 37612587 PMCID: PMC10463642 DOI: 10.1186/s12920-023-01618-4] [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: 12/02/2022] [Accepted: 07/29/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND 1q21.1q21.2 microdeletions/microduplications are rare and incompletely penetrant genetic mutations, and only a few reports regarding their prenatal diagnosis are currently available. Here, we analyzed the ultrasonographic phenotypic characteristics of fetuses with these mutations to improve the understanding, diagnosis, and screening of these mutations during gestation. METHODS We retrospectively analyzed 8700 cases of pregnant women who underwent invasive prenatal screening by karyotyping and chromosomal microarray analysis (CMA) between November 2016 and November 2021. RESULTS CMA revealed copy number changes in the 1q21.1q21.2 region of eleven fetuses, of which five had microdeletions and six had microduplications. These eleven fetuses exhibited variable ultrasonographic phenotypes. Of the five fetuses with the microdeletion, one exhibited a right-dominant heart, permanent right umbilical vein, and mild tricuspid regurgitation, another showed thickened nuchal translucency, and the remaining three had normal ultrasound phenotypes. Two of the six cases with 1q21.1q21.2 microduplication had structural malformations; one of them had a bilateral subependymal cyst, neck mass, and enlarged cardiothoracic ratio, while the other had right ventricular hypoplasia. Of the remaining four cases, two exhibited nasal bone dysplasia, one showed measurement slower than that during menopause and mild tricuspid regurgitation, and another did not show any notable abnormality in ultrasound examination. Among the eleven cases of 1q21.1q21.2 microdeletion/microduplication, only the parents of two fetuses underwent pedigree verification. The parents of these two fetuses with 1q21.1q21.2 microdeletion syndrome chose to continue the pregnancy, and all aspects of postnatal follow-up were normal. The parents of the other nine fetuses refused pedigree verification; of these cases, four cases terminated, and five cases continued the pregnancies. The five continued pregnancies were followed up after birth; no abnormalities were found. CONCLUSIONS Fetuses with 1q21.1q21.2 microdeletion/microduplication show different ultrasound characteristics and may have congenital heart disease, thickened nuchal translucency, and nasal bone dysplasia or show no notable abnormalities in an ultrasound examination. Our study highlights that CMA as a powerful diagnostic tool for these diseases can provide an accurate genetic diagnosis, while improving prenatal diagnosis standards.
Collapse
Affiliation(s)
- Nan Guo
- Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Huili Xue
- Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Bin Liang
- Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Hailong Huang
- Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
| | - Meiying Cai
- Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
| | - Liangpu Xu
- Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
| |
Collapse
|
19
|
Nguyen AV, Soto JM, Gonzalez SM, Murillo J, Trumble ER, Shan FY, Huang JH. H3G34-Mutant Gliomas-A Review of Molecular Pathogenesis and Therapeutic Options. Biomedicines 2023; 11:2002. [PMID: 37509641 PMCID: PMC10377039 DOI: 10.3390/biomedicines11072002] [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: 06/18/2023] [Revised: 07/11/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
The 2021 World Health Organization Classification of Tumors of the Central Nervous System reflected advances in understanding of the roles of oncohistones in gliomagenesis with the introduction of the H3.3-G34R/V mutant glioma to the already recognized H3-K27M altered glioma, which represent the diagnoses of pediatric-type diffuse hemispheric glioma and diffuse midline glioma, respectively. Despite advances in research regarding these disease entities, the prognosis remains poor. While many studies and clinical trials focus on H3-K27M-altered-glioma patients, those with H3.3-G34R/V mutant gliomas represent a particularly understudied population. Thus, we sought to review the current knowledge regarding the molecular mechanisms underpinning the gliomagenesis of H3.3-G34R/V mutant gliomas and the diagnosis, treatment, long-term outcomes, and possible future therapeutics.
Collapse
Affiliation(s)
- Anthony V Nguyen
- Department of Neurosurgery, Baylor Scott and White Medical Center, Temple, TX 76508, USA
| | - Jose M Soto
- Department of Neurosurgery, Baylor Scott and White Medical Center, Temple, TX 76508, USA
| | - Sarah-Marie Gonzalez
- Department of Neurosurgery, Baylor Scott and White Medical Center, Temple, TX 76508, USA
| | - Jennifer Murillo
- Department of Neurosurgery, Baylor Scott and White Medical Center, Temple, TX 76508, USA
- Department of Neurology, Baylor Scott and White Medical Center, Temple, TX 76508, USA
| | - Eric R Trumble
- Department of Neurosurgery, Baylor Scott and White Medical Center, Temple, TX 76508, USA
| | - Frank Y Shan
- Department of Neurosurgery, Baylor Scott and White Medical Center, Temple, TX 76508, USA
- Department of Pathology, Baylor Scott and White Medical Center, Temple, TX 76508, USA
| | - Jason H Huang
- Department of Neurosurgery, Baylor Scott and White Medical Center, Temple, TX 76508, USA
- Department of Surgery, Texas A&M University College of Medicine, Temple, TX 76508, USA
| |
Collapse
|
20
|
Koh HY, Smith L, Wiltrout KN, Podury A, Chourasia N, D’Gama AM, Park M, Knight D, Sexton EL, Koh JJ, Oby B, Pinsky R, Shao DD, French CE, Shao W, Rockowitz S, Sliz P, Zhang B, Mahida S, Moufawad El Achkar C, Yuskaitis CJ, Olson HE, Sheidley BR, Poduri AH. Utility of Exome Sequencing for Diagnosis in Unexplained Pediatric-Onset Epilepsy. JAMA Netw Open 2023; 6:e2324380. [PMID: 37471090 PMCID: PMC10359957 DOI: 10.1001/jamanetworkopen.2023.24380] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/31/2023] [Indexed: 07/21/2023] Open
Abstract
Importance Genomic advances inform our understanding of epilepsy and can be translated to patients as precision diagnoses that influence clinical treatment, prognosis, and counseling. Objective To delineate the genetic landscape of pediatric epilepsy and clinical utility of genetic diagnoses for patients with epilepsy. Design, Setting, and Participants This cohort study used phenotypic data from medical records and treating clinicians at a pediatric hospital to identify patients with unexplained pediatric-onset epilepsy. Exome sequencing was performed for 522 patients and available biological parents, and sequencing data were analyzed for single nucleotide variants (SNVs) and copy number variants (CNVs). Variant pathogenicity was assessed, patients were provided with their diagnostic results, and clinical utility was evaluated. Patients were enrolled from August 2018 to October 2021, and data were analyzed through December 2022. Exposures Phenotypic features associated with diagnostic genetic results. Main Outcomes and Measures Main outcomes included diagnostic yield and clinical utility. Diagnostic findings included variants curated as pathogenic, likely pathogenic (PLP), or diagnostic variants of uncertain significance (VUS) with clinical features consistent with the involved gene's associated phenotype. The proportion of the cohort with diagnostic findings, the genes involved, and their clinical utility, defined as impact on clinical treatment, prognosis, or surveillance, are reported. Results A total of 522 children (269 [51.5%] male; mean [SD] age at seizure onset, 1.2 [1.4] years) were enrolled, including 142 children (27%) with developmental epileptic encephalopathy and 263 children (50.4%) with intellectual disability. Of these, 100 participants (19.2%) had identifiable genetic explanations for their seizures: 89 participants had SNVs (87 germline, 2 somatic mosaic) involving 69 genes, and 11 participants had CNVs. The likelihood of identifying a genetic diagnosis was highest in patients with intellectual disability (adjusted odds ratio [aOR], 2.44; 95% CI, 1.40-4.26), early onset seizures (aOR, 0.93; 95% CI, 0.88-0.98), and motor impairment (aOR, 2.19; 95% CI 1.34-3.58). Among 43 patients with apparently de novo variants, 2 were subsequently determined to have asymptomatic parents harboring mosaic variants. Of 71 patients who received diagnostic results and were followed clinically, 29 (41%) had documented clinical utility resulting from their genetic diagnoses. Conclusions and Relevance These findings suggest that pediatric-onset epilepsy is genetically heterogeneous and that some patients with previously unexplained pediatric-onset epilepsy had genetic diagnoses with direct clinical implications.
Collapse
Affiliation(s)
- Hyun Yong Koh
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
- The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Boston, Massachusetts
| | - Lacey Smith
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
| | - Kimberly N. Wiltrout
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | | | - Nitish Chourasia
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Pediatrics and Neurology, University of Tennessee Health Science Center, Memphis
| | - Alissa M. D’Gama
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Division of Newborn Medicine, Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
| | - Meredith Park
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
| | - Devon Knight
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
| | - Emma L. Sexton
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
| | - Julia J. Koh
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
| | - Brandon Oby
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
| | - Rebecca Pinsky
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
| | - Diane D. Shao
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | - Courtney E. French
- Research Computing, Department of Information Technology, Boston Children’s Hospital, Boston, Massachusetts
| | - Wanqing Shao
- Research Computing, Department of Information Technology, Boston Children’s Hospital, Boston, Massachusetts
| | - Shira Rockowitz
- The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Boston, Massachusetts
- Research Computing, Department of Information Technology, Boston Children’s Hospital, Boston, Massachusetts
| | - Piotr Sliz
- The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Boston, Massachusetts
- Research Computing, Department of Information Technology, Boston Children’s Hospital, Boston, Massachusetts
- Division of Molecular Medicine, Boston Children’s Hospital, Boston, Massachusetts
| | - Bo Zhang
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- Biostatistics and Research Design Center, Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital, Boston, Massachusetts
| | - Sonal Mahida
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
| | - Christelle Moufawad El Achkar
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
- Biostatistics and Research Design Center, Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital, Boston, Massachusetts
| | - Christopher J. Yuskaitis
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | - Heather E. Olson
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | - Beth Rosen Sheidley
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
| | - Annapurna H. Poduri
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| |
Collapse
|
21
|
Ahram DF, Lim TY, Ke J, Jin G, Verbitsky M, Bodria M, Kil BH, Chatterjee D, Piva SE, Marasa M, Zhang JY, Cocchi E, Caridi G, Gucev Z, Lozanovski VJ, Pisani I, Izzi C, Savoldi G, Gnutti B, Capone VP, Morello W, Guarino S, Esposito P, Lambert S, Radhakrishnan J, Appel GB, Uy NS, Rao MK, Canetta PA, Bomback AS, Nestor JG, Hays T, Cohen DJ, Finale C, van Wijk JA, La Scola C, Baraldi O, Tondolo F, Di Renzo D, Jamry-Dziurla A, Pezzutto A, Manca V, Mitrotti A, Santoro D, Conti G, Martino M, Giordano M, Gesualdo L, Zibar L, Masnata G, Bonomini M, Alberti D, La Manna G, Caliskan Y, Ranghino A, Marzuillo P, Kiryluk K, Krzemień G, Miklaszewska M, Lin F, Montini G, Scolari F, Fiaccadori E, Arapović A, Saraga M, McKiernan J, Alam S, Zaniew M, Szczepańska M, Szmigielska A, Sikora P, Drożdż D, Mizerska-Wasiak M, Mane S, Lifton RP, Tasic V, Latos-Bielenska A, Gharavi AG, Ghiggeri GM, Materna-Kiryluk A, Westland R, Sanna-Cherchi S. Rare Single Nucleotide and Copy Number Variants and the Etiology of Congenital Obstructive Uropathy: Implications for Genetic Diagnosis. J Am Soc Nephrol 2023; 34:1105-1119. [PMID: 36995132 PMCID: PMC10278788 DOI: 10.1681/asn.0000000000000132] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 01/18/2023] [Indexed: 03/31/2023] Open
Abstract
SIGNIFICANCE STATEMENT Congenital obstructive uropathy (COU) is a prevalent human developmental defect with highly heterogeneous clinical presentations and outcomes. Genetics may refine diagnosis, prognosis, and treatment, but the genomic architecture of COU is largely unknown. Comprehensive genomic screening study of 733 cases with three distinct COU subphenotypes revealed disease etiology in 10.0% of them. We detected no significant differences in the overall diagnostic yield among COU subphenotypes, with characteristic variable expressivity of several mutant genes. Our findings therefore may legitimize a genetic first diagnostic approach for COU, especially when burdening clinical and imaging characterization is not complete or available. BACKGROUND Congenital obstructive uropathy (COU) is a common cause of developmental defects of the urinary tract, with heterogeneous clinical presentation and outcome. Genetic analysis has the potential to elucidate the underlying diagnosis and help risk stratification. METHODS We performed a comprehensive genomic screen of 733 independent COU cases, which consisted of individuals with ureteropelvic junction obstruction ( n =321), ureterovesical junction obstruction/congenital megaureter ( n =178), and COU not otherwise specified (COU-NOS; n =234). RESULTS We identified pathogenic single nucleotide variants (SNVs) in 53 (7.2%) cases and genomic disorders (GDs) in 23 (3.1%) cases. We detected no significant differences in the overall diagnostic yield between COU sub-phenotypes, and pathogenic SNVs in several genes were associated to any of the three categories. Hence, although COU may appear phenotypically heterogeneous, COU phenotypes are likely to share common molecular bases. On the other hand, mutations in TNXB were more often identified in COU-NOS cases, demonstrating the diagnostic challenge in discriminating COU from hydronephrosis secondary to vesicoureteral reflux, particularly when diagnostic imaging is incomplete. Pathogenic SNVs in only six genes were found in more than one individual, supporting high genetic heterogeneity. Finally, convergence between data on SNVs and GDs suggest MYH11 as a dosage-sensitive gene possibly correlating with severity of COU. CONCLUSIONS We established a genomic diagnosis in 10.0% of COU individuals. The findings underscore the urgent need to identify novel genetic susceptibility factors to COU to better define the natural history of the remaining 90% of cases without a molecular diagnosis.
Collapse
Affiliation(s)
- Dina F. Ahram
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Tze Y. Lim
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Juntao Ke
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Gina Jin
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Miguel Verbitsky
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Monica Bodria
- Division of Nephrology and Renal Transplantation, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Byum Hee Kil
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Debanjana Chatterjee
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Stacy E. Piva
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Maddalena Marasa
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Jun Y. Zhang
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Enrico Cocchi
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Gianluca Caridi
- Division of Nephrology and Renal Transplantation, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Laboratory on Molecular Nephrology, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Zoran Gucev
- Medical Faculty of Skopje, University Children's Hospital, Skopje, Macedonia
| | - Vladimir J. Lozanovski
- Medical Faculty of Skopje, University Children's Hospital, Skopje, Macedonia
- Department of General, Visceral and Transplant Surgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Isabella Pisani
- Unità Operativa Nefrologia, Azienda Ospedaliero-Universitaria di Parma, Dipartimento di Medicina e Chirurgia, Università di Parma, Parma, Italy
| | - Claudia Izzi
- Division of Nephrology, Department of Obstetrics and Gynecology, ASST Spedali Civili of Brescia, Brescia, Italy
| | | | - Barbara Gnutti
- Medical Genetics Laboratory, ASST-Spedali Civili, Brescia, Italy
| | - Valentina P. Capone
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
- Pediatric Nephrology, Dialysis and Transplant Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - William Morello
- Pediatric Nephrology, Dialysis and Transplant Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Stefano Guarino
- Department of Woman and Child and of General and Specialized Surgery, Università degli Studi della Campania “Luigi Vanvitelli,” Naples, Italy
| | - Pasquale Esposito
- Department of Internal Medicine, University of Genoa, Genova, Italy
- Unit of Nephrology, IRCCS San Martino Polyclinic Hospital, Genoa, Italy
| | - Sarah Lambert
- Yale School of Medicine/Yale New Haven Health System, New Haven, Connecticut
| | - Jai Radhakrishnan
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Gerald B. Appel
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Natalie S. Uy
- Division of Pediatric Nephrology, Department of Pediatric, NewYork-Presbyterian Morgan Stanley Children's Hospital, Columbia University Irving Medical Center, New York, New York
| | - Maya K. Rao
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Pietro A. Canetta
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Andrew S. Bomback
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Jordan G. Nestor
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Thomas Hays
- Department of Pediatrics, Division of Neonatology, Columbia University, New York, New York
| | - David J. Cohen
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Carolina Finale
- Nephrology, Dialysis and Renal Transplantation Unit, Azienda Ospedaliera Universitaria Ospedali Riuniti Umberto I, Lancisi, Salesi of Ancona, Ancona, Italy
| | - Joanna A.E. van Wijk
- Department of Pediatric Nephrology, Emma Children's Hospital, University of Amsterdam, Amsterdam, The Netherlands
| | - Claudio La Scola
- Nephrology and Dialysis Unit, Department of Pediatrics, Azienda Ospedaliero Universitaria Sant'Orsola-Malpighi, Bologna, Italy
| | - Olga Baraldi
- Nephrology, Dialysis and Renal Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Francesco Tondolo
- Nephrology, Dialysis and Renal Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Dacia Di Renzo
- “Spirito Santo” Hospital of Pescara, Pediatric Surgery of “G. d'Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Anna Jamry-Dziurla
- Polish Registry of Congenital Malformations, Chair and Department of Medical Genetics, University of Medical Sciences, Poznan, Poland
| | - Alessandro Pezzutto
- Nephrology and Dialysis Unit, Department of Medicine, SS Annunziata Hospital, “G. d'Annunzio” University, Chieti, Italy
| | - Valeria Manca
- Department of Pediatric Urology, Azienda Ospedaliera Brotzu, Cagliari, Italy
| | - Adele Mitrotti
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
- Section of Nephrology, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
| | - Domenico Santoro
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Giovanni Conti
- Department of Pediatric Nephrology, Azienda Ospedaliera Universitaria “G. Martino,” Messina, Italy
| | - Marida Martino
- Pediatric Nephrology and Dialysis Unit, Pediatric Hospital “Giovanni XXIII,” Bari, Italy
| | - Mario Giordano
- Pediatric Nephrology and Dialysis Unit, Pediatric Hospital “Giovanni XXIII,” Bari, Italy
| | - Loreto Gesualdo
- Section of Nephrology, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
| | - Lada Zibar
- Department of Nephrology, University Hospital Merkur, Zagreb, Croatia
- Faculty of Medicine, University Josip Juraj Strossmayer in Osijek, Osijek, Croatia
| | - Giuseppe Masnata
- Department of Pediatric Urology, Azienda Ospedaliera Brotzu, Cagliari, Italy
| | - Mario Bonomini
- Nephrology and Dialysis Unit, Department of Medicine, SS Annunziata Hospital, “G. d'Annunzio” University, Chieti, Italy
| | | | - Gaetano La Manna
- IRCCS Azienda Ospedaliera di Bologna, Nephrology, Dialysis and Kidney Transplant Unit, St. Orsola University Hospital, Bologna, Italy
| | - Yasar Caliskan
- Division of Nephrology, Saint Louis University School of Medicine, Saint Louis, Missouri
| | - Andrea Ranghino
- Nephrology, Dialysis and Renal Transplantation Unit, Azienda Ospedaliera Universitaria Ospedali Riuniti Umberto I, Lancisi, Salesi of Ancona, Ancona, Italy
| | - Pierluigi Marzuillo
- Department of Woman and Child and of General and Specialized Surgery, Università degli Studi della Campania “Luigi Vanvitelli,” Naples, Italy
| | - Krzysztof Kiryluk
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Grażyna Krzemień
- Department of Pediatrics and Nephrology, Medical University of Warsaw, Warsaw, Poland
| | - Monika Miklaszewska
- Department of Pediatric Nephrology and Hypertension, Jagiellonian University Medical College, Krakow, Poland
| | - Fangming Lin
- Division of Pediatric Nephrology, Department of Pediatric, NewYork-Presbyterian Morgan Stanley Children's Hospital, Columbia University Irving Medical Center, New York, New York
| | - Giovanni Montini
- Pediatric Nephrology, Dialysis and Transplant Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, Giuliana and Bernardo Caprotti Chair of Pediatrics, University of Milano, Milano, Italy
| | - Francesco Scolari
- Division of Nephrology and Dialysis, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia and ASST Spedali Civili of Brescia, Brescia, Italy
| | - Enrico Fiaccadori
- Unità Operativa Nefrologia, Azienda Ospedaliero-Universitaria di Parma, Dipartimento di Medicina e Chirurgia, Università di Parma, Parma, Italy
| | - Adela Arapović
- Department of Pediatrics, University Hospital of Split, Split, Croatia
- School of Medicine, University of Split, Split, Croatia
| | - Marijan Saraga
- Department of Pediatrics, University Hospital of Split, Split, Croatia
- School of Medicine, University of Split, Split, Croatia
| | - James McKiernan
- Department of Urology, Columbia University Irving Medical Center, New York, New York
| | - Shumyle Alam
- Department of Urology, Columbia University Irving Medical Center, New York, New York
- Division of Pediatric Urology, MUSC Health-University Medical Center, Charleston, South Carolina
| | - Marcin Zaniew
- Department of Pediatrics, University of Zielona Góra, Zielona Góra, Poland
| | - Maria Szczepańska
- Department of Pediatrics, FMS in Zabrze, Medical University of Silesia, Katowice, Poland
| | - Agnieszka Szmigielska
- Department of Pediatrics and Nephrology, Medical University of Warsaw, Warsaw, Poland
| | - Przemysław Sikora
- Department of Pediatric Nephrology, Medical University of Lublin, Lublin, Poland
| | - Dorota Drożdż
- Department of Pediatric Nephrology and Hypertension, Jagiellonian University Medical College, Krakow, Poland
| | | | - Shrikant Mane
- Yale Center for Mendelian Genomics (YCMG), New Haven, Connecticut
| | | | - Velibor Tasic
- Medical Faculty of Skopje, University Children's Hospital, Skopje, Macedonia
| | - Anna Latos-Bielenska
- Polish Registry of Congenital Malformations, Chair and Department of Medical Genetics, University of Medical Sciences, Poznan, Poland
| | - Ali G. Gharavi
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | - Gian Marco Ghiggeri
- Division of Nephrology and Renal Transplantation, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Laboratory on Molecular Nephrology, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Anna Materna-Kiryluk
- Polish Registry of Congenital Malformations, Chair and Department of Medical Genetics, University of Medical Sciences, Poznan, Poland
| | - Rik Westland
- Department of Pediatric Nephrology, Emma Children's Hospital, University of Amsterdam, Amsterdam, The Netherlands
| | - Simone Sanna-Cherchi
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| |
Collapse
|
22
|
McSweeney C, Chen M, Dong F, Sebastian A, Reynolds DJ, Mott J, Pei Z, Zou J, Shi Y, Mao Y. Transcriptomic Analyses of Brains of RBM8A Conditional Knockout Mice at Different Developmental Stages Reveal Conserved Signaling Pathways Contributing to Neurodevelopmental Diseases. Int J Mol Sci 2023; 24:4600. [PMID: 36902031 PMCID: PMC10003467 DOI: 10.3390/ijms24054600] [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: 12/31/2022] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 03/03/2023] Open
Abstract
RNA-binding motif 8A (RBM8A) is a core component of the exon junction complex (EJC) that binds pre-mRNAs and regulates their splicing, transport, translation, and nonsense-mediated decay (NMD). Dysfunction in the core proteins has been linked to several detriments in brain development and neuropsychiatric diseases. To understand the functional role of Rbm8a in brain development, we have generated brain-specific Rbm8a knockout mice and used next-generation RNA-sequencing to identify differentially expressed genes (DEGs) in mice with heterozygous, conditional knockout (cKO) of Rbm8a in the brain at postnatal day 17 (P17) and at embryonic day 12. Additionally, we analyzed enriched gene clusters and signaling pathways within the DEGs. At the P17 time point, between the control and cKO mice, about 251 significant DEGs were identified. At E12, only 25 DEGs were identified in the hindbrain samples. Bioinformatics analyses have revealed many signaling pathways related to the central nervous system (CNS). When E12 and P17 results were compared, three DEGs, Spp1, Gpnmb, and Top2a, appeared to peak at different developmental time points in the Rbm8a cKO mice. Enrichment analyses suggested altered activity in pathways affecting cellular proliferation, differentiation, and survival. The results support the hypothesis that loss of Rbm8a causes decreased cellular proliferation, increased apoptosis, and early differentiation of neuronal subtypes, which may lead ultimately to an altered neuronal subtype composition in the brain.
Collapse
Affiliation(s)
- Colleen McSweeney
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Miranda Chen
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Fengping Dong
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Aswathy Sebastian
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Derrick James Reynolds
- Department of Microbiology & Molecular Genetics, School of Medicine, University of California, Irvine, CA 92697, USA
| | - Jennifer Mott
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Zifei Pei
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Jizhong Zou
- Systems Biology Center, National Heart, Lung, and Blood Institute, NIH, Bethesda, Rockville, MD 20892, USA
| | - Yongsheng Shi
- Department of Microbiology & Molecular Genetics, School of Medicine, University of California, Irvine, CA 92697, USA
| | - Yingwei Mao
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
| |
Collapse
|
23
|
Vanderhaeghen P, Polleux F. Developmental mechanisms underlying the evolution of human cortical circuits. Nat Rev Neurosci 2023; 24:213-232. [PMID: 36792753 PMCID: PMC10064077 DOI: 10.1038/s41583-023-00675-z] [Citation(s) in RCA: 43] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/10/2023] [Indexed: 02/17/2023]
Abstract
The brain of modern humans has evolved remarkable computational abilities that enable higher cognitive functions. These capacities are tightly linked to an increase in the size and connectivity of the cerebral cortex, which is thought to have resulted from evolutionary changes in the mechanisms of cortical development. Convergent progress in evolutionary genomics, developmental biology and neuroscience has recently enabled the identification of genomic changes that act as human-specific modifiers of cortical development. These modifiers influence most aspects of corticogenesis, from the timing and complexity of cortical neurogenesis to synaptogenesis and the assembly of cortical circuits. Mutations of human-specific genetic modifiers of corticogenesis have started to be linked to neurodevelopmental disorders, providing evidence for their physiological relevance and suggesting potential relationships between the evolution of the human brain and its sensitivity to specific diseases.
Collapse
Affiliation(s)
- Pierre Vanderhaeghen
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium.
- Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
| | - Franck Polleux
- Department of Neuroscience, Columbia University Medical Center, New York, NY, USA.
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
| |
Collapse
|
24
|
Hu H, Geng Z, Zhang S, Xu Y, Wang Q, Chen S, Zhang B, Sun K, Lu Y. Rare copy number variation analysis identifies disease-related variants in atrioventricular septal defect patients. Front Genet 2023; 14:1075349. [PMID: 36816019 PMCID: PMC9936062 DOI: 10.3389/fgene.2023.1075349] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/25/2023] [Indexed: 02/05/2023] Open
Abstract
Atrioventricular septal defect (AVSD) is a deleterious subtype of congenital heart diseases (CHD) characterized by atrioventricular canal defect. The pathogenic genetic changes of AVSD remain elusive, particularly for copy number variation (CNV), a large segment variation of the genome, which is one of the major forms of genetic variants resulting in congenital heart diseases. In the present study, we recruited 150 AVSD cases and 100 healthy subjects as controls for whole exome sequencing (WES). We identified total 4255 rare CNVs using exon Hidden Markov model (XHMM) and screened rare CNVs by eliminating common CNVs based on controls and Database of Genomic Variants (DGV). Each patient contained at least 9 CNVs, and the CNV burden was prominently presented in chromosomes 19,22,21&16. Small CNVs (<500 kb) were frequently observed. By leveraging gene-based burden test, we further identified 20 candidate AVSD-risk genes. Among them, DYRK1A, OBSCN and TTN were presented in the core disease network of CHD and highly and dynamically expressed in the heart during the development, which indicated they possessed the high potency to be AVSD-susceptible genes. These findings not only provided a roadmap for finally unveiling the genetic cause of AVSD, but also provided more resources and proofs for clinical genetics.
Collapse
Affiliation(s)
- Huan Hu
- Department of Pediatric Cardiology, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zilong Geng
- Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
| | - Shasha Zhang
- Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuejuan Xu
- Department of Pediatric Cardiology, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qingjie Wang
- Department of Pediatric Cardiology, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Sun Chen
- Department of Pediatric Cardiology, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bing Zhang
- Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China,*Correspondence: Bing Zhang, ; Kun Sun, ; Yanan Lu,
| | - Kun Sun
- Department of Pediatric Cardiology, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,*Correspondence: Bing Zhang, ; Kun Sun, ; Yanan Lu,
| | - Yanan Lu
- Department of Pediatric Cardiology, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,*Correspondence: Bing Zhang, ; Kun Sun, ; Yanan Lu,
| |
Collapse
|
25
|
Kariminejad A, Ghaderi-Sohi S, Gholami S, Najafi K, Kariminejad R, Hennekam RCM. 5p13 microduplication in a malformed fetus and his unaffected father. Am J Med Genet A 2023; 191:370-377. [PMID: 36322476 DOI: 10.1002/ajmg.a.63030] [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: 02/19/2022] [Revised: 08/09/2022] [Accepted: 09/24/2022] [Indexed: 11/06/2022]
Abstract
The 5p13 microduplication syndrome is a contiguous gene syndrome characterized by developmental delay intellectual disability, hypotonia, unusual facies with marked variability, mild limb anomalies, and in some cases brain malformations. The duplication ranges in size from 0.25 to 1.08 Mb and encompasses five genes (NIPBL, SLC1A3, CPLANE1, NUP155, and WDR70), of which NIPBL has been suggested to be the main dose sensitive gene. All patients with duplication of the complete NIPBL gene reported thus far have been de novo. Here, we report a 25-week-old male fetus with hypertelorism, wide and depressed nasal bridge, depressed nasal tip, low-set ears, clenched hands, flexion contracture of elbows, knees, and left wrist, and bilateral clubfeet, bowing and shortening of long bones and brain malformation of dorsal part of callosal body. The fetus had a 667 kb gain at 5p13.2 encompassing SLC1A3, NIPBL and exons 22-52 of CPLANE1. The microduplication was inherited from the healthy father, in whom no indication for mosaicism was detected. The family demonstrates that incomplete penetrance of 5p13 microduplication syndrome may occur which is important in genetic counseling of families with this entity.
Collapse
Affiliation(s)
| | | | - Soheila Gholami
- Kariminejad-Najmabadi Pathology and Genetics Center, Tehran, Iran
| | - Kimia Najafi
- Kariminejad-Najmabadi Pathology and Genetics Center, Tehran, Iran
| | | | - Raoul C M Hennekam
- Department of Pediatrics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
26
|
The Genetics of Intellectual Disability. Brain Sci 2023; 13:brainsci13020231. [PMID: 36831774 PMCID: PMC9953898 DOI: 10.3390/brainsci13020231] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/23/2022] [Accepted: 01/16/2023] [Indexed: 02/03/2023] Open
Abstract
Intellectual disability (ID) has a prevalence of ~2-3% in the general population, having a large societal impact. The underlying cause of ID is largely of genetic origin; however, identifying this genetic cause has in the past often led to long diagnostic Odysseys. Over the past decades, improvements in genetic diagnostic technologies and strategies have led to these causes being more and more detectable: from cytogenetic analysis in 1959, we moved in the first decade of the 21st century from genomic microarrays with a diagnostic yield of ~20% to next-generation sequencing platforms with a yield of up to 60%. In this review, we discuss these various developments, as well as their associated challenges and implications for the field of ID, which highlight the revolutionizing shift in clinical practice from a phenotype-first into genotype-first approach.
Collapse
|
27
|
Duński E, Pękowska A. Keeping the balance: Trade-offs between human brain evolution, autism, and schizophrenia. Front Genet 2022; 13:1009390. [DOI: 10.3389/fgene.2022.1009390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 10/12/2022] [Indexed: 11/22/2022] Open
Abstract
The unique qualities of the human brain are a product of a complex evolutionary process. Evolution, famously described by François Jacob as a “tinkerer,” builds upon existing genetic elements by modifying and repurposing them for new functions. Genetic changes in DNA may lead to the emergence of new genes or cause altered gene expression patterns. Both gene and regulatory element mutations may lead to new functions. Yet, this process may lead to side-effects. An evolutionary trade-off occurs when an otherwise beneficial change, which is important for evolutionary success and is under strong positive selection, concurrently results in a detrimental change in another trait. Pleiotropy occurs when a gene affects multiple traits. Antagonistic pleiotropy is a phenomenon whereby a genetic variant leads to an increase in fitness at one life-stage or in a specific environment, but simultaneously decreases fitness in another respect. Therefore, it is conceivable that the molecular underpinnings of evolution of highly complex traits, including brain size or cognitive ability, under certain conditions could result in deleterious effects, which would increase the susceptibility to psychiatric or neurodevelopmental diseases. Here, we discuss possible trade-offs and antagonistic pleiotropies between evolutionary change in a gene sequence, dosage or activity and the susceptibility of individuals to autism spectrum disorders and schizophrenia. We present current knowledge about genes and alterations in gene regulatory landscapes, which have likely played a role in establishing human-specific traits and have been implicated in those diseases.
Collapse
|
28
|
Martin H, Rupkey J, Asthana S, Yoon J, Patel S, Mott J, Pei Z, Mao Y. Diverse Roles of the Exon Junction Complex Factors in the Cell Cycle, Cancer, and Neurodevelopmental Disorders-Potential for Therapeutic Targeting. Int J Mol Sci 2022; 23:ijms231810375. [PMID: 36142288 PMCID: PMC9499366 DOI: 10.3390/ijms231810375] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/01/2022] [Accepted: 09/05/2022] [Indexed: 12/04/2022] Open
Abstract
The exon junction complex (EJC) plays a crucial role in regulating gene expression at the levels of alternative splicing, translation, mRNA localization, and nonsense-mediated decay (NMD). The EJC is comprised of three core proteins: RNA-binding motif 8A (RBM8A), Mago homolog (MAGOH), eukaryotic initiation factor 4A3 (eIF4A3), and a peripheral EJC factor, metastatic lymph node 51 (MLN51), in addition to other peripheral factors whose structural integration is activity-dependent. The physiological and mechanistic roles of the EJC in contribution to molecular, cellular, and organismal level function continue to be explored for potential insights into genetic or pathological dysfunction. The EJC’s specific role in the cell cycle and its implications in cancer and neurodevelopmental disorders prompt enhanced investigation of the EJC as a potential target for these diseases. In this review, we highlight the current understanding of the EJC’s position in the cell cycle, its relation to cancer and developmental diseases, and potential avenues for therapeutic targeting.
Collapse
Affiliation(s)
- Hannah Martin
- Department of Biology, Pennsylvania State University, University Park, State College, PA 16802, USA
| | - Julian Rupkey
- Department of Biology, Pennsylvania State University, University Park, State College, PA 16802, USA
| | - Shravan Asthana
- Department of Biology, Pennsylvania State University, University Park, State College, PA 16802, USA
- Feinberg School of Medicine, Northwestern University, 303 East Superior Street, Chicago, IL 60611, USA
| | - Joy Yoon
- Department of Biology, Pennsylvania State University, University Park, State College, PA 16802, USA
| | - Shray Patel
- Department of Biology, Pennsylvania State University, University Park, State College, PA 16802, USA
| | - Jennifer Mott
- Department of Biology, Pennsylvania State University, University Park, State College, PA 16802, USA
| | - Zifei Pei
- Department of Biology, Pennsylvania State University, University Park, State College, PA 16802, USA
| | - Yingwei Mao
- Department of Biology, Pennsylvania State University, University Park, State College, PA 16802, USA
- Correspondence:
| |
Collapse
|
29
|
Leitão F, Grangeia A, Pinto J, Passas A, Dória S. Clinical Findings on Chromosome 1 Copy Number Variations. Neuropediatrics 2022; 53:265-273. [PMID: 35835157 DOI: 10.1055/s-0042-1754162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Copy number variants (CNVs) are a major contribution to genome variability, and the presence of CNVs on chromosome 1 is a known cause of morbidity. The main objective of this study was to contribute to chromosome 1 disease map, through the analysis of patients with chromosome 1 CNVs.A cross-sectional study was performed using the array comparative genomic hybridization database of the Genetic Department of the Faculty of Medicine. Patients with pathogenic (P) or likely pathogenic (LP) CNVs on chromosome 1 were selected for the study. Clinical information was collected for all patients. Databases and related literature were used for genotype-phenotype correlation.From a total of 2,516 patients included in the database we identified 24 patients (0.95%) with P (9 patients) or LP (15 patients) CNVs on chromosome 1. These CNVs account for 6.1% (24/392 CNVs) of the total P/LP CNVs in the database. Most common CNVs found were in the 1q21.1-1q21.2 region.This study reinforces the association between chromosome 1 CNV and neurodevelopmental disorders and craniofacial dysmorphisms. Additionally, it also strengthened the idea that CNVs interpretation is not always a linear task due to the broad spectrum of variants that can be identified between benign and clearly pathogenic CNVs.
Collapse
Affiliation(s)
- Filipa Leitão
- Department of Pathology, Genetics Service, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Ana Grangeia
- Department of Pathology, Genetics Service, Faculty of Medicine, University of Porto, Porto, Portugal.,Medical Genetics Service, Centro Hospitalar Universitário de São João, Porto, Portugal.,I3S-Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal
| | - Joel Pinto
- Department of Pathology, Genetics Service, Faculty of Medicine, University of Porto, Porto, Portugal.,I3S-Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal
| | - Armanda Passas
- Neurodevelopment Unit- UNIA, Centro Hospitalar Vila Nova de Gaia/Espinho - CHVNG, Vila Nova de Gaia, Portugal
| | - Sofia Dória
- Department of Pathology, Genetics Service, Faculty of Medicine, University of Porto, Porto, Portugal.,I3S-Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal
| |
Collapse
|
30
|
Bhatt AB, Lantin-Hermoso MR, Daniels CJ, Jaquiss R, Landis BJ, Marino BS, Rathod RH, Vincent RN, Keller BB, Villafane J. Isolated Coarctation of the Aorta: Current Concepts and Perspectives. Front Cardiovasc Med 2022; 9:817866. [PMID: 35694677 PMCID: PMC9174545 DOI: 10.3389/fcvm.2022.817866] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 03/21/2022] [Indexed: 12/02/2022] Open
Abstract
Current management of isolated CoA, localized narrowing of the aortic arch in the absence of other congenital heart disease, is a success story with improved prenatal diagnosis, high survival and improved understanding of long-term complication. Isolated CoA has heterogenous presentations, complex etiologic mechanisms, and progressive pathophysiologic changes that influence outcome. End-to-end or extended end-to-end anastomosis are the favored surgical approaches for isolated CoA in infants and transcatheter intervention is favored for children and adults. Primary stent placement is the procedure of choice in larger children and adults. Most adults with treated isolated CoA thrive, have normal daily activities, and undergo successful childbirth. Fetal echocardiography is the cornerstone of prenatal counseling and genetic testing is recommended. Advanced 3D imaging identifies aortic complications and myocardial dysfunction and guides individualized therapies including re-intervention. Adult CHD program enrollment is recommended. Longer follow-up data are needed to determine the frequency and severity of aneurysm formation, myocardial dysfunction, and whether childhood lifestyle modifications reduce late-onset complications.
Collapse
Affiliation(s)
- Ami B. Bhatt
- Departments of Internal Medicine and Pediatrics and Division of Cardiology, Harvard Medical School, Boston, MA, United States
| | - Maria R. Lantin-Hermoso
- Section of Cardiology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States
| | - Curt J. Daniels
- Departments of Pediatrics and Internal Medicine, The Ohio State University Medical Center, Columbus, OH, United States
| | - Robert Jaquiss
- Department of Cardiovascular and Thoracic Surgery and Department of Pediatrics, UT Southwestern Medical Center, Dallas, TX, United States
| | - Benjamin John Landis
- Department of Pediatrics and Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Bradley S. Marino
- Department of Pediatric Cardiology, Cleveland Clinic Children's, Cleveland, OH, United States
| | - Rahul H. Rathod
- Department of Pediatrics, Harvard Medical School, Boston, MA, United States
| | - Robert N. Vincent
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
| | - Bradley B. Keller
- Cincinnati Children's Heart Institute and the Department of Pediatrics, University of Cincinnati, Cincinnati, OH, United States
| | - Juan Villafane
- Cincinnati Children's Heart Institute and the Department of Pediatrics, University of Cincinnati, Cincinnati, OH, United States
| |
Collapse
|
31
|
Zhou H, Cheng K, Li Y, Fu F, Li R, Zhang Y, Yang X, Jing X, Li F, Han J, Pan M, Zhen L, Li D, Liao C. The Genetic and Clinical Outcomes in Fetuses With Isolated Fetal Growth Restriction: A Chinese Single-Center Retrospective Study. Front Genet 2022; 13:856522. [PMID: 35571012 PMCID: PMC9096609 DOI: 10.3389/fgene.2022.856522] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 03/25/2022] [Indexed: 11/13/2022] Open
Abstract
Objective: To evaluate the utility of a chromosomal microarray (CMA) in fetuses with isolated fetal growth restriction (FGR) and explore risk factors for the prediction of chromosomal aberration and perinatal adverse outcomes. Method: This study included 271 fetuses of estimated fetal weight less than the 3rd percentile without other structural malformation. Early-onset and late-onset FGR were defined as gestational weeks less than 32 weeks and more than 32 weeks respectively. These patients underwent quantitative fluorescent polymerase chain reaction (QF-PCR) and CMA as the first-line genetic detection strategy. Chromosomal anomalies were compared after stratified analysis by the early-onset and the late-onset FGR, including the absence or presence of ultrasound soft markers, abnormal amniotic fluid, abnormal umbilical Doppler, and gestational disorders. The follow-up time was within 1 year after birth. Logistic regression was used to seek risk predictors of chromosomal aberration and perinatal adverse outcomes for isolated FGR. Results: The CMA identified clinically significant variants in 18/271 (6.6%) fetuses, and variants of unknown significance (VOUS) in 15/271 (5.5%) fetuses. Stratified analysis showed that there was a higher incidence of clinically significant variants in fetuses with the early-onset FGR compared with late-onset FGR (8.7%, 17/195 vs. 1.3%, 1/76, p < 0.05). Regression analysis showed that early gestational age (GA) at diagnosis of FGR was the major risk factor for chromosomal aberration (OR = 0.846). By variable regression analysis, early GA at diagnosis and decreased estimated fetal weight (EFW) percentile of suspicion of FGR, asymmetrical FGR, abnormal amniotic fluid, and severe preeclampsia could all increase the risk of adverse outcomes of isolated FGR including intra-uterine fetal death (IUFD), termination of pregnancy (TOP), and preterm birth in pregnancies with FGR. Conclusion: This study emphasized the value of microarrays for unbalanced genomic variants in fetuses with isolated FGR, especially since the gestational age of nullipara was less than 32 weeks. Perinatal adverse outcomes of isolated FGR were influenced by multiple factors including GA and estimated fetal weight (EFW) percentile of suspicion of FGR, asymmetrical FGR, abnormal amniotic fluid, and severe preeclampsia.
Collapse
Affiliation(s)
- Hang Zhou
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Ken Cheng
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Yingsi Li
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Fang Fu
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Ru Li
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Yongling Zhang
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Xin Yang
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Xiangyi Jing
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Fucheng Li
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Jin Han
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Min Pan
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Li Zhen
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Dongzhi Li
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Can Liao
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| |
Collapse
|
32
|
Wen X, Xing H, Qi K, Wang H, Li X, Zhu J, Chen W, Cui L, Zhang J, Qi H. Analysis of 17 Prenatal Cases with the Chromosomal 1q21.1 Copy Number Variation. DISEASE MARKERS 2022; 2022:5487452. [PMID: 37284664 PMCID: PMC10241571 DOI: 10.1155/2022/5487452] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 04/12/2022] [Indexed: 10/10/2023]
Abstract
Copy number variations (CNVs) at the chromosomal 1q21.1 region represent a group of hot-spot recurrent rearrangements in human genome, which have been detected in hundreds of patients with variable clinical manifestations. Yet, report of such CNVs in prenatal scenario was relatively scattered. In this study, 17 prenatal cases involving the 1q21.1 microdeletion or duplication were recruited. The clinical survey and imaging examination were performed; and genetic detection with karyotyping and CNV analysis using chromosomal microarray (CMA) or CNVseq were subsequently carried out. These cases were all positive with 1q21.1 CNV, yet presented with exceedingly various clinical and utrasonographic indications. Among them, 12 pregnancies carried 1q21.1 deletions, while the other 5 carried 1q21.1 duplications, all of which were within the previously defined breaking point (BP) regions. According to the verification results, 9 CNVs were de novo, 7 were familial, and the other 1 was not certain. We summarized the clinical information of these cases, and the size and distribution of CNVs, and attempted to analyze the association between these two aspects. The findings in our study may provide important basis for the prenatal diagnosis and genetic counseling on such conditions in the future.
Collapse
Affiliation(s)
- Xiaohui Wen
- Prenatal Diagnosis Center, Haidian Maternal and Child Health Care Hospital, Beijing, China
| | - Huanxia Xing
- Prenatal Diagnosis Center, Langfang Maternal and Child Health Care Hospital, Langfang, Hebei, China
| | - Keyan Qi
- Prenatal Diagnosis Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Hao Wang
- Prenatal Diagnosis Center, Hangzhou Women's Hospital, Hangzhou, Zhejiang, China
- Department of Cell Biology and Medical Genetics, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xiaojun Li
- Prenatal Diagnosis Center, Haidian Maternal and Child Health Care Hospital, Beijing, China
| | - Jianjiang Zhu
- Prenatal Diagnosis Center, Haidian Maternal and Child Health Care Hospital, Beijing, China
| | - Wenqi Chen
- Prenatal Diagnosis Center, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, Hebei, China
| | - Limin Cui
- Prenatal Diagnosis Center, Langfang Maternal and Child Health Care Hospital, Langfang, Hebei, China
| | - Jing Zhang
- Prenatal Diagnosis Center, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, Hebei, China
| | - Hong Qi
- Prenatal Diagnosis Center, Haidian Maternal and Child Health Care Hospital, Beijing, China
| |
Collapse
|
33
|
Malwade S, Gasthaus J, Bellardita C, Andelic M, Moric B, Korshunova I, Kiehn O, Vasistha NA, Khodosevich K. Identification of Vulnerable Interneuron Subtypes in 15q13.3 Microdeletion Syndrome Using Single-Cell Transcriptomics. Biol Psychiatry 2022; 91:727-739. [PMID: 34838304 DOI: 10.1016/j.biopsych.2021.09.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 09/10/2021] [Accepted: 09/14/2021] [Indexed: 11/02/2022]
Abstract
BACKGROUND A number of rare copy number variants (CNVs) have been linked to neurodevelopmental disorders. However, because CNVs encompass many genes, it is often difficult to identify the mechanisms that lead to developmental perturbations. METHODS We used 15q13.3 microdeletion to propose and validate a novel strategy to predict the impact of CNV genes on brain development that could further guide functional studies. We analyzed single-cell transcriptomics datasets containing cortical interneurons to identify their developmental vulnerability to 15q13.3 microdeletion, which was validated in mouse models. RESULTS We found that Klf13-but not other 15q13.3 genes-is expressed by precursors and neuroblasts in the medial and caudal ganglionic eminences during development, with a peak of expression at embryonic day (E)13.5 and E18.5, respectively. In contrast, in the adult mouse brain, Klf13 expression is negligible. Using Df(h15q13.3)/+ and Klf13+/- embryos, we observed a precursor subtype-specific impairment in proliferation in the medial ganglionic eminence and caudal ganglionic eminence at E13.5 and E17.5, respectively, corresponding to vulnerability predicted by Klf13 expression patterns. Finally, Klf13+/- mice showed a layer-specific decrease in parvalbumin and somatostatin cortical interneurons accompanied by changes in locomotor and anxiety-related behavior. CONCLUSIONS We show that the impact of 15q13.3 microdeletion on precursor proliferation is grounded in a reduction in Klf13 expression. The lack of Klf13 in Df(h15q13.3)/+ cortex might be the major reason for perturbed density of cortical interneurons. Thus, the behavioral defects seen in 15q13.3 microdeletion could stem from a developmental perturbation owing to selective vulnerability of cortical interneurons during sensitive stages of their development.
Collapse
Affiliation(s)
- Susmita Malwade
- Biotech Research and Innovation Center (BRIC), Copenhagen Biocenter, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Janina Gasthaus
- Biotech Research and Innovation Center (BRIC), Copenhagen Biocenter, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Carmelo Bellardita
- Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Matej Andelic
- Biotech Research and Innovation Center (BRIC), Copenhagen Biocenter, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Borna Moric
- Biotech Research and Innovation Center (BRIC), Copenhagen Biocenter, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Irina Korshunova
- Biotech Research and Innovation Center (BRIC), Copenhagen Biocenter, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ole Kiehn
- Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Navneet A Vasistha
- Biotech Research and Innovation Center (BRIC), Copenhagen Biocenter, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Konstantin Khodosevich
- Biotech Research and Innovation Center (BRIC), Copenhagen Biocenter, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| |
Collapse
|
34
|
Auwerx C, Lepamets M, Sadler MC, Patxot M, Stojanov M, Baud D, Mägi R, Porcu E, Reymond A, Kutalik Z. The individual and global impact of copy-number variants on complex human traits. Am J Hum Genet 2022; 109:647-668. [PMID: 35240056 PMCID: PMC9069145 DOI: 10.1016/j.ajhg.2022.02.010] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 02/09/2022] [Indexed: 12/25/2022] Open
Abstract
The impact of copy-number variations (CNVs) on complex human traits remains understudied. We called CNVs in 331,522 UK Biobank participants and performed genome-wide association studies (GWASs) between the copy number of CNV-proxy probes and 57 continuous traits, revealing 131 signals spanning 47 phenotypes. Our analysis recapitulated well-known associations (e.g., 1q21 and height), revealed the pleiotropy of recurrent CNVs (e.g., 26 and 16 traits for 16p11.2-BP4-BP5 and 22q11.21, respectively), and suggested gene functionalities (e.g., MARF1 in female reproduction). Forty-eight CNV signals (38%) overlapped with single-nucleotide polymorphism (SNP)-GWASs signals for the same trait. For instance, deletion of PDZK1, which encodes a urate transporter scaffold protein, decreased serum urate levels, while deletion of RHD, which encodes the Rhesus blood group D antigen, associated with hematological traits. Other signals overlapped Mendelian disorder regions, suggesting variable expressivity and broad impact of these loci, as illustrated by signals mapping to Rotor syndrome (SLCO1B1/3), renal cysts and diabetes syndrome (HNF1B), or Charcot-Marie-Tooth (PMP22) loci. Total CNV burden negatively impacted 35 traits, leading to increased adiposity, liver/kidney damage, and decreased intelligence and physical capacity. Thirty traits remained burden associated after correcting for CNV-GWAS signals, pointing to a polygenic CNV architecture. The burden negatively correlated with socio-economic indicators, parental lifespan, and age (survivorship proxy), suggesting a contribution to decreased longevity. Together, our results showcase how studying CNVs can expand biological insights, emphasizing the critical role of this mutational class in shaping human traits and arguing in favor of a continuum between Mendelian and complex diseases.
Collapse
Affiliation(s)
- Chiara Auwerx
- Center for Integrative Genomics, University of Lausanne, Lausanne 1015, Switzerland; Department of Computational Biology, University of Lausanne, Lausanne 1015, Switzerland; Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland; University Center for Primary Care and Public Health, Lausanne 1010, Switzerland
| | - Maarja Lepamets
- Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia; Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Marie C Sadler
- Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland; University Center for Primary Care and Public Health, Lausanne 1010, Switzerland
| | - Marion Patxot
- Department of Computational Biology, University of Lausanne, Lausanne 1015, Switzerland
| | - Miloš Stojanov
- Materno-fetal and Obstetrics Research Unit, Department Woman-Mother-Child, CHUV, Lausanne 1011, Switzerland
| | - David Baud
- Materno-fetal and Obstetrics Research Unit, Department Woman-Mother-Child, CHUV, Lausanne 1011, Switzerland
| | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Eleonora Porcu
- Center for Integrative Genomics, University of Lausanne, Lausanne 1015, Switzerland; Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland; University Center for Primary Care and Public Health, Lausanne 1010, Switzerland
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, Lausanne 1015, Switzerland.
| | - Zoltán Kutalik
- Department of Computational Biology, University of Lausanne, Lausanne 1015, Switzerland; Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland; University Center for Primary Care and Public Health, Lausanne 1010, Switzerland.
| |
Collapse
|
35
|
The Physiological Roles of the Exon Junction Complex in Development and Diseases. Cells 2022; 11:cells11071192. [PMID: 35406756 PMCID: PMC8997533 DOI: 10.3390/cells11071192] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/19/2022] [Accepted: 03/24/2022] [Indexed: 01/12/2023] Open
Abstract
The exon junction complex (EJC) becomes an increasingly important regulator of early gene expression in the central nervous system (CNS) and other tissues. The EJC is comprised of three core proteins: RNA-binding motif 8A (RBM8A), Mago homolog (MAGOH), eukaryotic initiation factor 4A3 (EIF4A3), and a peripheral EJC factor, metastatic lymph node 51 (MLN51), together with various auxiliary factors. The EJC is assembled specifically at exon-exon junctions on mRNAs, hence the name of the complex. The EJC regulates multiple levels of gene expression, from splicing to translation and mRNA degradation. The functional roles of the EJC have been established as crucial to the normal progress of embryonic and neurological development, with wide ranging implications on molecular, cellular, and organism level function. Dysfunction of the EJC has been implicated in multiple developmental and neurological diseases. In this review, we discuss recent progress on the EJC’s physiological roles.
Collapse
|
36
|
Romano C. Genetics and Clinical Neuroscience in Intellectual Disability. Brain Sci 2022; 12:brainsci12030338. [PMID: 35326293 PMCID: PMC8946658 DOI: 10.3390/brainsci12030338] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 02/22/2022] [Accepted: 02/28/2022] [Indexed: 11/16/2022] Open
Abstract
This editorial summarizes the main information leading to a Special Issue on intellectual disability [...]
Collapse
Affiliation(s)
- Corrado Romano
- Research Unit of Rare Diseases and Neurodevelopmental Disorders, Oasi Research Institute-IRCCS, 94018 Troina, Italy;
- Section of Medical Biochemistry, Department of Biomedical and Biotechnological Sciences, University of Catania, 95131 Catania, Italy
| |
Collapse
|
37
|
Qiao J, Yuan J, Hu W, Li Q, Fang H, Xu Y, Dai Y. Combined diagnosis of QF-PCR and CNV-Seq in fetal chromosomal abnormalities: A new perspective on prenatal diagnosis. J Clin Lab Anal 2022; 36:e24311. [PMID: 35195919 PMCID: PMC8993611 DOI: 10.1002/jcla.24311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 01/18/2022] [Accepted: 02/16/2022] [Indexed: 11/06/2022] Open
Abstract
Objective This study aimed to evaluate the effect of QF‐PCR and CNV‐seq in diagnosing prenatal fetal chromosomal aberrations, explore the advantages and necessity of multimethod joint diagnosis. Methods We chose pregnant women with the indication of fetal chromosome examination in our hospital last year, collected 657 cases of amniotic fluid for QF‐PCR and CNV‐seq analyzes. Results While detecting aneuploidy, the coincidence rate of QF‐PCR and CNV‐seq was 100% (56/56). For all 46 chromosomes, 523 cases (79.60%, 523/657) coincided precisely, 128 cases (19.48%, 128/657) showed abnormality with CNV‐seq, 8 cases (1.22%, 8/657) revealed abnormality by QF‐PCR. In serological Down's syndrome screening, 328 cases showed a high risk of trisomy 21, of which CNV‐seq and QF‐PCR were consistent in 4 cases (1.22%, 4/328), CNV‐seq found 87 cases of CNVs in 78 samples except for chromosomal aneuploidy abnormalities, among these, 18 cases (20.69%, 18/87) were polymorphic, 7 cases (8.05%, 7/87) might cause disease, 13 cases (14.94%, 13/87) caused disease explicitly, 21 cases (24.14%, 21/87) were possibly benign, 17 cases (19.54%, 17/87) were explicitly benign, and the classification of 11 cases (12.64%, 11/87) was unclear. Conclusion QF‐PCR and CNV‐seq were highly consistent in diagnosing chromosomal aneuploidy. The high risk of serological Down's screening might not only due to the aneuploidy of chromosomes 21, 18, and NTD, but also the microdeletion or microduplication of all 46 chromosomes. So using CNV‐seq combined with QF‐PCR could effectively reduce the risk of missed diagnosis.
Collapse
Affiliation(s)
- Jinping Qiao
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Jing Yuan
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Wenjun Hu
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Qin Li
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Huiqin Fang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yuanhong Xu
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yaqian Dai
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| |
Collapse
|
38
|
Metabolic effects of the schizophrenia-associated 3q29 deletion. Transl Psychiatry 2022; 12:66. [PMID: 35177588 PMCID: PMC8854723 DOI: 10.1038/s41398-022-01824-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 01/14/2022] [Accepted: 01/21/2022] [Indexed: 11/09/2022] Open
Abstract
The 1.6 Mb 3q29 deletion is associated with developmental and psychiatric phenotypes, including a 40-fold increased risk for schizophrenia. Reduced birth weight and a high prevalence of feeding disorders in patients suggest underlying metabolic dysregulation. We investigated 3q29 deletion-induced metabolic changes using our previously generated heterozygous B6.Del16+/Bdh1-Tfrc mouse model. Animals were provided either standard chow (STD) or high-fat diet (HFD). Growth curves were performed on HFD mice to assess weight change (n = 30-50/group). Indirect calorimetry and untargeted metabolomics were performed on STD and HFD mice to evaluate metabolic phenotypes (n = 8-14/group). A behavioral battery was performed on STD and HFD mice to assess behavior change after the HFD challenge (n = 5-13/group). We found that B6.Del16+/Bdh1-Tfrc animals preferentially use dietary lipids as an energy source. Untargeted metabolomics of liver tissue showed a strong sex-dependent effect of the 3q29 deletion on fat metabolism. A HFD partially rescued the 3q29 deletion-associated weight deficit in females, but not males. Untargeted metabolomics of liver tissue after HFD revealed persistent fat metabolism alterations in females. The HFD did not affect B6.Del16+/Bdh1-Tfrc behavioral phenotypes, suggesting that 3q29 deletion-associated metabolic and behavioral outcomes are uncoupled. Our data suggest that dietary interventions to improve weight phenotypes in 3q29 deletion syndrome patients are unlikely to exacerbate behavioral manifestations. Our study also highlights the importance of assessing sex in metabolic studies and suggests that mechanisms underlying 3q29 deletion-associated metabolic phenotypes are sex-specific.
Collapse
|
39
|
Array comparative genomic hybridisation results of non-syndromic children with the conotruncal heart anomaly. Cardiol Young 2022; 32:301-306. [PMID: 35045913 DOI: 10.1017/s104795112100473x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
UNLABELLED The study aimed to show the chromosomal copy number variations responsible for the aetiology in patients with isolated conotruncal heart anomaly by array comparative genomic hybridisation and identify candidate genes causing conotruncal heart disease. A total of 37 patients, 17 male, and 20 female, with isolated conotruncal heart anomalies, were included in the study. No findings indicated any syndrome in terms of dysmorphology in the patients. RESULTS Copy number variations were detected in the array comparative genomic hybridisation analysis of five (13.5%) of 37 patients included in the study. Three candidate genes (PRDM16, HIST1H1E, GJA5) found in these deletion and duplication regions may be associated with the conotruncal cardiac anomaly. CONCLUSION CHDs can be encountered as the first and sometimes the single finding of many genetic disorders in children. It is thought that genetic tests, especially array comparative genomic hybridisation, may be beneficial for children with CHD since the diagnosis of genetic diseases in these patients as early as possible will help to prevent or reduce complications that may develop in the future. Also, it would be possible to detect candidate genes responsible for conotruncal cardiac anomalies with array comparative genomic hybridisation.
Collapse
|
40
|
Using induced pluripotent stem cells to investigate human neuronal phenotypes in 1q21.1 deletion and duplication syndrome. Mol Psychiatry 2022; 27:819-830. [PMID: 34112971 PMCID: PMC9054650 DOI: 10.1038/s41380-021-01182-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 05/17/2021] [Accepted: 05/27/2021] [Indexed: 01/08/2023]
Abstract
Copy Number Variation (CNV) at the 1q21.1 locus is associated with a range of neurodevelopmental and psychiatric disorders in humans, including abnormalities in head size and motor deficits. Yet, the functional consequences of these CNVs (both deletion and duplication) on neuronal development remain unknown. To determine the impact of CNV at the 1q21.1 locus on neuronal development, we generated induced pluripotent stem cells from individuals harbouring 1q21.1 deletion or duplication and differentiated them into functional cortical neurons. We show that neurons with 1q21.1 deletion or duplication display reciprocal phenotype with respect to proliferation, differentiation potential, neuronal maturation, synaptic density and functional activity. Deletion of the 1q21.1 locus was also associated with an increased expression of lower cortical layer markers. This difference was conserved in the mouse model of 1q21.1 deletion, which displayed altered corticogenesis. Importantly, we show that neurons with 1q21.1 deletion and duplication are associated with differential expression of calcium channels and demonstrate that physiological deficits in neurons with 1q21.1 deletion or duplication can be pharmacologically modulated by targeting Ca2+ channel activity. These findings provide biological insight into the neuropathological mechanism underlying 1q21.1 associated brain disorder and indicate a potential target for therapeutic interventions.
Collapse
|
41
|
Morton SU, Quiat D, Seidman JG, Seidman CE. Genomic frontiers in congenital heart disease. Nat Rev Cardiol 2022; 19:26-42. [PMID: 34272501 PMCID: PMC9236191 DOI: 10.1038/s41569-021-00587-4] [Citation(s) in RCA: 93] [Impact Index Per Article: 46.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/07/2021] [Indexed: 02/06/2023]
Abstract
The application of next-generation sequencing to study congenital heart disease (CHD) is increasingly providing new insights into the causes and mechanisms of this prevalent birth anomaly. Whole-exome sequencing analysis identifies damaging gene variants altering single or contiguous nucleotides that are assigned pathogenicity based on statistical analyses of families and cohorts with CHD, high expression in the developing heart and depletion of damaging protein-coding variants in the general population. Gene classes fulfilling these criteria are enriched in patients with CHD and extracardiac abnormalities, evidencing shared pathways in organogenesis. Developmental single-cell transcriptomic data demonstrate the expression of CHD-associated genes in particular cell lineages, and emerging insights indicate that genetic variants perturb multicellular interactions that are crucial for cardiogenesis. Whole-genome sequencing analyses extend these observations, identifying non-coding variants that influence the expression of genes associated with CHD and contribute to the estimated ~55% of unexplained cases of CHD. These approaches combined with the assessment of common and mosaic genetic variants have provided a more complete knowledge of the causes and mechanisms of CHD. Such advances provide knowledge to inform the clinical care of patients with CHD or other birth defects and deepen our understanding of the complexity of human development. In this Review, we highlight known and candidate CHD-associated human genes and discuss how the integration of advances in developmental biology research can provide new insights into the genetic contributions to CHD.
Collapse
Affiliation(s)
- Sarah U. Morton
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Boston, MA, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA, USA.,Department of Genetics, Harvard Medical School, Boston, MA, USA.,These authors contributed equally: Sarah U. Morton, Daniel Quiat
| | - Daniel Quiat
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA.,Department of Genetics, Harvard Medical School, Boston, MA, USA.,Department of Cardiology, Boston Children’s Hospital, Boston, MA, USA.,These authors contributed equally: Sarah U. Morton, Daniel Quiat
| | | | - Christine E. Seidman
- Department of Genetics, Harvard Medical School, Boston, MA, USA.,Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA.,Howard Hughes Medical Institute, Harvard University, Boston, MA, USA.,
| |
Collapse
|
42
|
Sønderby IE, Ching CRK, Thomopoulos SI, van der Meer D, Sun D, Villalon‐Reina JE, Agartz I, Amunts K, Arango C, Armstrong NJ, Ayesa‐Arriola R, Bakker G, Bassett AS, Boomsma DI, Bülow R, Butcher NJ, Calhoun VD, Caspers S, Chow EWC, Cichon S, Ciufolini S, Craig MC, Crespo‐Facorro B, Cunningham AC, Dale AM, Dazzan P, de Zubicaray GI, Djurovic S, Doherty JL, Donohoe G, Draganski B, Durdle CA, Ehrlich S, Emanuel BS, Espeseth T, Fisher SE, Ge T, Glahn DC, Grabe HJ, Gur RE, Gutman BA, Haavik J, Håberg AK, Hansen LA, Hashimoto R, Hibar DP, Holmes AJ, Hottenga J, Hulshoff Pol HE, Jalbrzikowski M, Knowles EEM, Kushan L, Linden DEJ, Liu J, Lundervold AJ, Martin‐Brevet S, Martínez K, Mather KA, Mathias SR, McDonald‐McGinn DM, McRae AF, Medland SE, Moberget T, Modenato C, Monereo Sánchez J, Moreau CA, Mühleisen TW, Paus T, Pausova Z, Prieto C, Ragothaman A, Reinbold CS, Reis Marques T, Repetto GM, Reymond A, Roalf DR, Rodriguez‐Herreros B, Rucker JJ, Sachdev PS, Schmitt JE, Schofield PR, Silva AI, Stefansson H, Stein DJ, Tamnes CK, Tordesillas‐Gutiérrez D, Ulfarsson MO, Vajdi A, van 't Ent D, van den Bree MBM, Vassos E, Vázquez‐Bourgon J, Vila‐Rodriguez F, Walters GB, Wen W, Westlye LT, Wittfeld K, Zackai EH, Stefánsson K, Jacquemont S, Thompson PM, Bearden CE, Andreassen OA. Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs. Hum Brain Mapp 2022; 43:300-328. [PMID: 33615640 PMCID: PMC8675420 DOI: 10.1002/hbm.25354] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 01/07/2021] [Accepted: 01/13/2021] [Indexed: 01/21/2023] Open
Abstract
The Enhancing NeuroImaging Genetics through Meta-Analysis copy number variant (ENIGMA-CNV) and 22q11.2 Deletion Syndrome Working Groups (22q-ENIGMA WGs) were created to gain insight into the involvement of genetic factors in human brain development and related cognitive, psychiatric and behavioral manifestations. To that end, the ENIGMA-CNV WG has collated CNV and magnetic resonance imaging (MRI) data from ~49,000 individuals across 38 global research sites, yielding one of the largest studies to date on the effects of CNVs on brain structures in the general population. The 22q-ENIGMA WG includes 12 international research centers that assessed over 533 individuals with a confirmed 22q11.2 deletion syndrome, 40 with 22q11.2 duplications, and 333 typically developing controls, creating the largest-ever 22q11.2 CNV neuroimaging data set. In this review, we outline the ENIGMA infrastructure and procedures for multi-site analysis of CNVs and MRI data. So far, ENIGMA has identified effects of the 22q11.2, 16p11.2 distal, 15q11.2, and 1q21.1 distal CNVs on subcortical and cortical brain structures. Each CNV is associated with differences in cognitive, neurodevelopmental and neuropsychiatric traits, with characteristic patterns of brain structural abnormalities. Evidence of gene-dosage effects on distinct brain regions also emerged, providing further insight into genotype-phenotype relationships. Taken together, these results offer a more comprehensive picture of molecular mechanisms involved in typical and atypical brain development. This "genotype-first" approach also contributes to our understanding of the etiopathogenesis of brain disorders. Finally, we outline future directions to better understand effects of CNVs on brain structure and behavior.
Collapse
Affiliation(s)
- Ida E. Sønderby
- Department of Medical GeneticsOslo University HospitalOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
| | - Christopher R. K. Ching
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Sophia I. Thomopoulos
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life SciencesMaastricht UniversityMaastrichtThe Netherlands
| | - Daqiang Sun
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and PsychologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
- Department of Mental HealthVeterans Affairs Greater Los Angeles Healthcare System, Los AngelesCaliforniaUSA
| | - Julio E. Villalon‐Reina
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Ingrid Agartz
- NORMENT, Institute of Clinical PsychiatryUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Katrin Amunts
- Institute of Neuroscience and Medicine (INM‐1)Research Centre JülichJülichGermany
- Cecile and Oskar Vogt Institute for Brain Research, Medical FacultyUniversity Hospital Düsseldorf, Heinrich‐Heine‐University DüsseldorfDüsseldorfGermany
| | - Celso Arango
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañon, IsSGM, Universidad Complutense, School of MedicineMadridSpain
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
| | | | - Rosa Ayesa‐Arriola
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Department of PsychiatryMarqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute (IDIVAL)SantanderSpain
| | - Geor Bakker
- Department of Psychiatry and NeuropsychologyMaastricht UniversityMaastrichtThe Netherlands
- Department of Radiology and Nuclear MedicineVU University Medical CenterAmsterdamThe Netherlands
| | - Anne S. Bassett
- Clinical Genetics Research ProgramCentre for Addiction and Mental HealthTorontoOntarioCanada
- Dalglish Family 22q Clinic for Adults with 22q11.2 Deletion Syndrome, Toronto General HospitalUniversity Health NetworkTorontoOntarioCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Dorret I. Boomsma
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam Public Health (APH) Research InstituteAmsterdam UMCAmsterdamThe Netherlands
| | - Robin Bülow
- Institute of Diagnostic Radiology and NeuroradiologyUniversity Medicine GreifswaldGreifswaldGermany
| | - Nancy J. Butcher
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
- Child Health Evaluative SciencesThe Hospital for Sick Children Research InstituteTorontoOntarioCanada
| | - Vince D. Calhoun
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)Georgia State, Georgia Tech, EmoryAtlantaGeorgiaUSA
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM‐1)Research Centre JülichJülichGermany
- Institute for Anatomy IMedical Faculty & University Hospital Düsseldorf, University of DüsseldorfDüsseldorfGermany
| | - Eva W. C. Chow
- Clinical Genetics Research ProgramCentre for Addiction and Mental HealthTorontoOntarioCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Sven Cichon
- Institute of Neuroscience and Medicine (INM‐1)Research Centre JülichJülichGermany
- Institute of Medical Genetics and PathologyUniversity Hospital BaselBaselSwitzerland
- Department of BiomedicineUniversity of BaselBaselSwitzerland
| | - Simone Ciufolini
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
| | - Michael C. Craig
- Department of Forensic and Neurodevelopmental SciencesThe Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's CollegeLondonUnited Kingdom
| | | | - Adam C. Cunningham
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical NeurosciencesCardiff UniversityCardiffUnited Kingdom
| | - Anders M. Dale
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
- Department RadiologyUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Paola Dazzan
- Department of Psychological MedicineInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
| | - Greig I. de Zubicaray
- Faculty of HealthQueensland University of Technology (QUT)BrisbaneQueenslandAustralia
| | - Srdjan Djurovic
- Department of Medical GeneticsOslo University HospitalOsloNorway
- NORMENT, Department of Clinical ScienceUniversity of BergenBergenNorway
| | - Joanne L. Doherty
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical NeurosciencesCardiff UniversityCardiffUnited Kingdom
- Cardiff University Brain Research Imaging Centre (CUBRIC)CardiffUnited Kingdom
| | - Gary Donohoe
- Center for Neuroimaging, Genetics and GenomicsSchool of Psychology, NUI GalwayGalwayIreland
| | - Bogdan Draganski
- LREN, Centre for Research in Neuroscience, Department of NeuroscienceUniversity Hospital Lausanne and University LausanneLausanneSwitzerland
- Neurology DepartmentMax‐Planck Institute for Human Brain and Cognitive SciencesLeipzigGermany
| | - Courtney A. Durdle
- MIND Institute and Department of Psychiatry and Behavioral SciencesUniversity of California DavisDavisCaliforniaUSA
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental NeurosciencesFaculty of Medicine, TU DresdenDresdenGermany
| | - Beverly S. Emanuel
- Department of PediatricsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Thomas Espeseth
- Department of PsychologyUniversity of OsloOsloNorway
- Department of PsychologyBjørknes CollegeOsloNorway
| | - Simon E. Fisher
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics UnitCenter for Genomic Medicine, Massachusetts General HospitalBostonMassachusettsUSA
- Department of Psychiatry, Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - David C. Glahn
- Tommy Fuss Center for Neuropsychiatric Disease ResearchBoston Children's HospitalBostonMassachusettsUSA
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA
| | - Hans J. Grabe
- German Center for Neurodegenerative Diseases (DZNE)Site Rostock/GreifswaldGreifswaldGermany
- Department of Psychiatry and PsychotherapyUniversity Medicine GreifswaldGreifswaldGermany
| | - Raquel E. Gur
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Youth Suicide Prevention, Intervention and Research CenterChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Boris A. Gutman
- Medical Imaging Research Center, Department of Biomedical EngineeringIllinois Institute of TechnologyChicagoIllinoisUSA
| | - Jan Haavik
- Department of BiomedicineUniversity of BergenBergenNorway
- Division of PsychiatryHaukeland University HospitalBergenNorway
| | - Asta K. Håberg
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health SciencesNorwegian University of Science and TechnologyTrondheimNorway
- Department of Radiology and Nuclear MedicineSt. Olavs HospitalTrondheimNorway
| | - Laura A. Hansen
- Department of Psychiatry and Biobehavioral SciencesUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Ryota Hashimoto
- Department of Pathology of Mental DiseasesNational Institute of Mental Health, National Center of Neurology and PsychiatryTokyoJapan
- Department of PsychiatryOsaka University Graduate School of MedicineOsakaJapan
| | - Derrek P. Hibar
- Personalized Healthcare AnalyticsGenentech, Inc.South San FranciscoCaliforniaUSA
| | - Avram J. Holmes
- Department of PsychologyYale UniversityNew HavenConnecticutUSA
- Department of PsychiatryYale UniversityNew HavenConnecticutUSA
| | - Jouke‐Jan Hottenga
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Hilleke E. Hulshoff Pol
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | | | - Emma E. M. Knowles
- Department of Psychiatry, Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Department of PsychiatryBoston Children's HospitalBostonMassachusettsUSA
| | - Leila Kushan
- Semel Institute for Neuroscience and Human BehaviorUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - David E. J. Linden
- School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
- Neuroscience and Mental Health Research InstituteCardiff UniversityCardiffUnited Kingdom
| | - Jingyu Liu
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)Georgia State, Georgia Tech, EmoryAtlantaGeorgiaUSA
- Computer ScienceGeorgia State UniversityAtlantaGeorgiaUSA
| | - Astri J. Lundervold
- Department of Biological and Medical PsychologyUniversity of BergenBergenNorway
| | - Sandra Martin‐Brevet
- LREN, Centre for Research in Neuroscience, Department of NeuroscienceUniversity Hospital Lausanne and University LausanneLausanneSwitzerland
| | - Kenia Martínez
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañon, IsSGM, Universidad Complutense, School of MedicineMadridSpain
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Facultad de PsicologíaUniversidad Autónoma de MadridMadridSpain
| | - Karen A. Mather
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
| | - Samuel R. Mathias
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA
- Department of PsychiatryBoston Children's HospitalBostonMassachusettsUSA
| | - Donna M. McDonald‐McGinn
- Department of PediatricsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Division of Human GeneticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Division of Human Genetics and 22q and You CenterChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Allan F. McRae
- Institute for Molecular BioscienceThe University of QueenslandBrisbaneQueenslandAustralia
| | - Sarah E. Medland
- Psychiatric GeneticsQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | - Torgeir Moberget
- Department of Psychology, Faculty of Social SciencesUniversity of OsloOsloNorway
| | - Claudia Modenato
- LREN, Centre for Research in Neuroscience, Department of NeuroscienceUniversity Hospital Lausanne and University LausanneLausanneSwitzerland
- University of LausanneLausanneSwitzerland
| | - Jennifer Monereo Sánchez
- School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
- Faculty of Health, Medicine and Life SciencesMaastricht UniversityMaastrichtThe Netherlands
- Department of Radiology and Nuclear MedicineMaastricht University Medical CenterMaastrichtThe Netherlands
| | - Clara A. Moreau
- Sainte Justine Hospital Research CenterUniversity of Montreal, MontrealQCCanada
| | - Thomas W. Mühleisen
- Institute of Neuroscience and Medicine (INM‐1)Research Centre JülichJülichGermany
- Cecile and Oskar Vogt Institute for Brain Research, Medical FacultyUniversity Hospital Düsseldorf, Heinrich‐Heine‐University DüsseldorfDüsseldorfGermany
- Department of BiomedicineUniversity of BaselBaselSwitzerland
| | - Tomas Paus
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
- Departments of Psychology and PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Zdenka Pausova
- Translational Medicine, The Hospital for Sick ChildrenTorontoOntarioCanada
| | - Carlos Prieto
- Bioinformatics Service, NucleusUniversity of SalamancaSalamancaSpain
| | | | - Céline S. Reinbold
- Department of BiomedicineUniversity of BaselBaselSwitzerland
- Centre for Lifespan Changes in Brain and Cognition, Department of PsychologyUniversity of OsloOsloNorway
| | - Tiago Reis Marques
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences (LMS), Hammersmith HospitalImperial College LondonLondonUnited Kingdom
| | - Gabriela M. Repetto
- Center for Genetics and GenomicsFacultad de Medicina, Clinica Alemana Universidad del DesarrolloSantiagoChile
| | - Alexandre Reymond
- Center for Integrative GenomicsUniversity of LausanneLausanneSwitzerland
| | - David R. Roalf
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - James J. Rucker
- Department of Psychological MedicineInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Neuropsychiatric InstituteThe Prince of Wales HospitalSydneyNew South WalesAustralia
| | - James E. Schmitt
- Department of Radiology and PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Peter R. Schofield
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of Medical SciencesUNSW SydneySydneyNew South WalesAustralia
| | - Ana I. Silva
- Neuroscience and Mental Health Research InstituteCardiff UniversityCardiffUnited Kingdom
- School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life SciencesMaastricht UniversityMaastrichtThe Netherlands
| | | | - Dan J. Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
| | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
| | - Diana Tordesillas‐Gutiérrez
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Neuroimaging Unit, Technological FacilitiesValdecilla Biomedical Research Institute (IDIVAL), SantanderSpain
| | - Magnus O. Ulfarsson
- Population Genomics, deCODE genetics/AmgenReykjavikIceland
- Faculty of Electrical and Computer EngineeringUniversity of Iceland, ReykjavikIceland
| | - Ariana Vajdi
- Semel Institute for Neuroscience and Human BehaviorUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Dennis van 't Ent
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Marianne B. M. van den Bree
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical NeurosciencesCardiff UniversityCardiffUnited Kingdom
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUnited Kingdom
| | - Javier Vázquez‐Bourgon
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Department of PsychiatryMarqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute (IDIVAL)SantanderSpain
- School of MedicineUniversity of CantabriaSantanderSpain
| | - Fidel Vila‐Rodriguez
- Department of PsychiatryThe University of British ColumbiaVancouverBritish ColumbiaCanada
| | - G. Bragi Walters
- Population Genomics, deCODE genetics/AmgenReykjavikIceland
- Faculty of MedicineUniversity of IcelandReykjavikIceland
| | - Wei Wen
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Lars T. Westlye
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
- NORMENT, Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE)Site Rostock/GreifswaldGreifswaldGermany
- Department of Psychiatry and PsychotherapyUniversity Medicine GreifswaldGreifswaldGermany
| | - Elaine H. Zackai
- Department of PediatricsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Division of Human GeneticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Kári Stefánsson
- Population Genomics, deCODE genetics/AmgenReykjavikIceland
- Faculty of MedicineUniversity of IcelandReykjavikIceland
| | - Sebastien Jacquemont
- Sainte Justine Hospital Research CenterUniversity of Montreal, MontrealQCCanada
- Department of PediatricsUniversity of Montreal, MontrealQCCanada
| | - Paul M. Thompson
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Carrie E. Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and PsychologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
- Center for Neurobehavioral GeneticsUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
| |
Collapse
|
43
|
Rosenberg AGW, Pater MRA, Pellikaan K, Davidse K, Kattentidt-Mouravieva AA, Kersseboom R, Bos-Roubos AG, van Eeghen A, Veen JMC, van der Meulen JJ, van Aalst-van Wieringen N, Hoekstra FME, van der Lely AJ, de Graaff LCG. What Every Internist-Endocrinologist Should Know about Rare Genetic Syndromes in Order to Prevent Needless Diagnostics, Missed Diagnoses and Medical Complications: Five Years of 'Internal Medicine for Rare Genetic Syndromes'. J Clin Med 2021; 10:jcm10225457. [PMID: 34830739 PMCID: PMC8622899 DOI: 10.3390/jcm10225457] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/11/2021] [Accepted: 11/17/2021] [Indexed: 02/06/2023] Open
Abstract
Patients with complex rare genetic syndromes (CRGS) have combined medical problems affecting multiple organ systems. Pediatric multidisciplinary (MD) care has improved life expectancy, however, transfer to internal medicine is hindered by the lack of adequate MD care for adults. We have launched an MD outpatient clinic providing syndrome-specific care for adults with CRGS, which, to our knowledge, is the first one worldwide in the field of internal medicine. Between 2015 and 2020, we have treated 720 adults with over 60 syndromes. Eighty-nine percent of the syndromes were associated with endocrine problems. We describe case series of missed diagnoses and patients who had undergone extensive diagnostic testing for symptoms that could actually be explained by their syndrome. Based on our experiences and review of the literature, we provide an algorithm for the clinical approach of health problems in CRGS adults. We conclude that missed diagnoses and needless invasive tests seem common in CRGS adults. Due to the increased life expectancy, an increasing number of patients with CRGS will transfer to adult endocrinology. Internist-endocrinologists (in training) should be aware of their special needs and medical pitfalls of CRGS will help prevent the burden of unnecessary diagnostics and under- and overtreatment.
Collapse
Affiliation(s)
- Anna G. W. Rosenberg
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands; (A.G.W.R.); (M.R.A.P.); (K.P.); (K.D.); (F.M.E.H.); (A.J.v.d.L.)
- Dutch Center of Reference for Prader-Willi Syndrome, 3015 GD Rotterdam, The Netherlands
| | - Minke R. A. Pater
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands; (A.G.W.R.); (M.R.A.P.); (K.P.); (K.D.); (F.M.E.H.); (A.J.v.d.L.)
| | - Karlijn Pellikaan
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands; (A.G.W.R.); (M.R.A.P.); (K.P.); (K.D.); (F.M.E.H.); (A.J.v.d.L.)
- Dutch Center of Reference for Prader-Willi Syndrome, 3015 GD Rotterdam, The Netherlands
| | - Kirsten Davidse
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands; (A.G.W.R.); (M.R.A.P.); (K.P.); (K.D.); (F.M.E.H.); (A.J.v.d.L.)
- Dutch Center of Reference for Prader-Willi Syndrome, 3015 GD Rotterdam, The Netherlands
| | | | - Rogier Kersseboom
- Stichting Zuidwester, 3241 LB Middelharnis, The Netherlands; (A.A.K.-M.); (R.K.)
| | - Anja G. Bos-Roubos
- Center of Excellence for Neuropsychiatry, Vincent van Gogh, 5803 DN Venray, The Netherlands;
| | - Agnies van Eeghen
- ‘s Heeren Loo, Care Group, 3818 LA Amersfoort, The Netherlands;
- Department of Pediatrics, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands
- Academic Center for Growth Disorders, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - José M. C. Veen
- ‘s Heeren Loo, Care Providing Agency, 6733 SC Wekerom, The Netherlands; (J.M.C.V.); (J.J.v.d.M.)
| | - Jiske J. van der Meulen
- ‘s Heeren Loo, Care Providing Agency, 6733 SC Wekerom, The Netherlands; (J.M.C.V.); (J.J.v.d.M.)
| | - Nina van Aalst-van Wieringen
- Department of Physical Therapy, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands;
| | - Franciska M. E. Hoekstra
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands; (A.G.W.R.); (M.R.A.P.); (K.P.); (K.D.); (F.M.E.H.); (A.J.v.d.L.)
- Department of Internal Medicine, Reinier de Graaf Hospital, 2625 AD Delft, The Netherlands
| | - Aart J. van der Lely
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands; (A.G.W.R.); (M.R.A.P.); (K.P.); (K.D.); (F.M.E.H.); (A.J.v.d.L.)
| | - Laura C. G. de Graaff
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands; (A.G.W.R.); (M.R.A.P.); (K.P.); (K.D.); (F.M.E.H.); (A.J.v.d.L.)
- Dutch Center of Reference for Prader-Willi Syndrome, 3015 GD Rotterdam, The Netherlands
- Academic Center for Growth Disorders, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
- ENCORE—Dutch Center of Reference for Neurodevelopmental Disorders, 3015 GD Rotterdam, The Netherlands
- Dutch Center of Reference for Turner Syndrome, 3015 GD Rotterdam, The Netherlands
- Dutch Center of Reference for Disorders of Sex Development, 3015 GD Rotterdam, The Netherlands
- Correspondence:
| |
Collapse
|
44
|
Bui TA, Shatto J, Cuppens T, Droit A, Bolduc FV. Phenotypic Trade-Offs: Deciphering the Impact of Neurodiversity on Drug Development in Fragile X Syndrome. Front Psychiatry 2021; 12:730987. [PMID: 34733188 PMCID: PMC8558248 DOI: 10.3389/fpsyt.2021.730987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 09/20/2021] [Indexed: 11/24/2022] Open
Abstract
Fragile X syndrome (FXS) is the most common single-gene cause of intellectual disability and autism spectrum disorder. Individuals with FXS present with a wide range of severity in multiple phenotypes including cognitive delay, behavioral challenges, sleep issues, epilepsy, and anxiety. These symptoms are also shared by many individuals with other neurodevelopmental disorders (NDDs). Since the discovery of the FXS gene, FMR1, FXS has been the focus of intense preclinical investigation and is placed at the forefront of clinical trials in the field of NDDs. So far, most studies have aimed to translate the rescue of specific phenotypes in animal models, for example, learning, or improving general cognitive or behavioral functioning in individuals with FXS. Trial design, selection of outcome measures, and interpretation of results of recent trials have shown limitations in this type of approach. We propose a new paradigm in which all phenotypes involved in individuals with FXS would be considered and, more importantly, the possible interactions between these phenotypes. This approach would be implemented both at the baseline, meaning when entering a trial or when studying a patient population, and also after the intervention when the study subjects have been exposed to the investigational product. This approach would allow us to further understand potential trade-offs underlying the varying effects of the treatment on different individuals in clinical trials, and to connect the results to individual genetic differences. To better understand the interplay between different phenotypes, we emphasize the need for preclinical studies to investigate various interrelated biological and behavioral outcomes when assessing a specific treatment. In this paper, we present how such a conceptual shift in preclinical design could shed new light on clinical trial results. Future clinical studies should take into account the rich neurodiversity of individuals with FXS specifically and NDDs in general, and incorporate the idea of trade-offs in their designs.
Collapse
Affiliation(s)
- Truong An Bui
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
| | - Julie Shatto
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
| | - Tania Cuppens
- Centre de Recherche du CHU de Québec-Université Laval et Département de Médecine Moléculaire de l'Université Laval, Laval, QC, Canada
| | - Arnaud Droit
- Centre de Recherche du CHU de Québec-Université Laval et Département de Médecine Moléculaire de l'Université Laval, Laval, QC, Canada
| | - François V. Bolduc
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| |
Collapse
|
45
|
Zhu L, Su X. Case Report: Neuroblastoma Breakpoint Family Genes Associate With 1q21 Copy Number Variation Disorders. Front Genet 2021; 12:728816. [PMID: 34646304 PMCID: PMC8504801 DOI: 10.3389/fgene.2021.728816] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 08/26/2021] [Indexed: 11/30/2022] Open
Abstract
Microduplications and reciprocal microdeletions of chromosome 1q21. 1 and/or 1q21.2 have been linked to variable clinical features, but the underlying pathogenic gene(s) remain unclear. Here we report that distinct microduplications were detected on chromosome 1q21.2 (GRCh37/hg19) in a mother (255 kb in size) and her newborn daughter (443 kb in size), while the same paternal locus was wild-type. Although the two microduplications largely overlap in genomic sequence (183 kb overlapping), the mother showed no clinical phenotype while the daughter presented with several features that are commonly observed on 1q21 microduplication or microdeletion patients, including developmental delay, craniofacial dysmorphism, congenital heart disease and sensorineural hearing loss. NBPF15 and NBPF16, two involved genes that are exclusively duplicated in the proband, may be the cause of the clinical manifestations. This study supports an association between NBPF genes and 1q21 copy number variation disorders.
Collapse
Affiliation(s)
- Lijuan Zhu
- Children's Hospital of Fudan University Anhui Hospital, Hefei, China
| | - Xiaoji Su
- Children's Hospital of Fudan University Anhui Hospital, Hefei, China
| |
Collapse
|
46
|
Carollo A, Bonassi A, Lim M, Gabrieli G, Setoh P, Dimitriou D, Aryadoust V, Esposito G. Developmental disabilities across the world: A scientometric review from 1936 to 2020. RESEARCH IN DEVELOPMENTAL DISABILITIES 2021; 117:104031. [PMID: 34333315 DOI: 10.1016/j.ridd.2021.104031] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 06/07/2021] [Accepted: 07/12/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Developmental disabilities have been largely studied in the past years. Their etiological mechanisms have been underpinned to the interactions between genetic and environmental factors. These factors show variability across the world. Thus, it is important to understand where the set of knowledge obtained on developmental disabilities originates from and whether it is generalizable to low- and middle-income countries. AIMS This study aims to understand the origins of the available literature on developmental disabilities, keeping a focus on parenting, and identify the main trend of research. METHODS AND PROCEDURE A sample of 11,315 publications from 1936 to 2020 were collected from Scopus and a graphical country analysis was conducted. Furthermore, a qualitative approach enabled the clustering of references by keywords into four main areas: "Expression of the disorder", "Physiological Factors", "How it is studied" and "Environmental factors". For each area, a document co-citation analysis (DCA) on CiteSpace software was performed. OUTCOMES AND RESULTS Results highlight the leading role of North America in the study of developmental disabilities. Trends in the literature and the documents' scientific relevance are discussed in details. CONCLUSIONS AND IMPLICATIONS Results demand for investigation in different socio-economical settings to generalize our knowledge. What this paper adds? The current paper tries to provide insight into the origins of the literature on developmental disabilities with a focus on parenting, together with an analysis of the trends of research in the field. The paper consisted of a multi-disciplinary and multi-method review. In fact, the review tried to integrate the analysis of the relation between developmental disabilities with a closer look at the scientific contributions to the field across the world. Specifically, the paper integrates a total of 11,315 papers published on almost a century of research (from 1936 to 2020). An initial qualitative analysis on keywords was combined to a subsequent quantitative approach in order to maximize the comprehension of the impact of almost a century of scientific contributions. Specifically, documents were studied with temporal and structural metrics on a scientometric approach. This allowed the exploration of patterns within the literature available on Scopus in a quantitative way. This method not only assessed the importance of single documents within the network. As a matter of fact, the document co-citation analysis used on CiteSpace software provided insight into the relations existing between multiple documents in the field of research. As a result, the leading role of North America in the literature of developmental disabilities and parenting emerged. This was accompanied by the review of the main trends of research within the existing literature.
Collapse
Affiliation(s)
- Alessandro Carollo
- Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy
| | - Andrea Bonassi
- Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy; Mobile and Social Computing Lab, Bruno Kessler Foundation, Trento, Italy
| | - Mengyu Lim
- Psychology Program, School of Social Sciences, Nanyang Technological University, Singapore, Singapore
| | - Giulio Gabrieli
- Psychology Program, School of Social Sciences, Nanyang Technological University, Singapore, Singapore
| | - Peipei Setoh
- Psychology Program, School of Social Sciences, Nanyang Technological University, Singapore, Singapore
| | - Dagmara Dimitriou
- Sleep Research and Education Laboratory, UCL Institute of Education, London, United Kingdom
| | - Vahid Aryadoust
- National Institute of Education, Nanyang Technological University, Singapore, Singapore
| | - Gianluca Esposito
- Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy; Psychology Program, School of Social Sciences, Nanyang Technological University, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
| |
Collapse
|
47
|
Duerinckx S, Désir J, Perazzolo C, Badoer C, Jacquemin V, Soblet J, Maystadt I, Tunca Y, Blaumeiser B, Ceulemans B, Courtens W, Debray F, Destree A, Devriendt K, Jansen A, Keymolen K, Lederer D, Loeys B, Meuwissen M, Moortgat S, Mortier G, Nassogne M, Sekhara T, Van Coster R, Van Den Ende J, Van der Aa N, Van Esch H, Vanakker O, Verhelst H, Vilain C, Weckhuysen S, Passemard S, Verloes A, Aeby A, Deconinck N, Van Bogaert P, Pirson I, Abramowicz M. Phenotypes and genotypes in non-consanguineous and consanguineous primary microcephaly: High incidence of epilepsy. Mol Genet Genomic Med 2021; 9:e1768. [PMID: 34402213 PMCID: PMC8457702 DOI: 10.1002/mgg3.1768] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 05/06/2021] [Accepted: 07/03/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Primary microcephaly (PM) is defined as a significant reduction in occipitofrontal circumference (OFC) of prenatal onset. Clinical and genetic heterogeneity of PM represents a diagnostic challenge. METHODS We performed detailed phenotypic and genomic analyses in a large cohort (n = 169) of patients referred for PM and could establish a molecular diagnosis in 38 patients. RESULTS Pathogenic variants in ASPM and WDR62 were the most frequent causes in non-consanguineous patients in our cohort. In consanguineous patients, microarray and targeted gene panel analyses reached a diagnostic yield of 67%, which contrasts with a much lower rate in non-consanguineous patients (9%). Our series includes 11 novel pathogenic variants and we identify novel candidate genes including IGF2BP3 and DNAH2. We confirm the progression of microcephaly over time in affected children. Epilepsy was an important associated feature in our PM cohort, affecting 34% of patients with a molecular confirmation of the PM diagnosis, with various degrees of severity and seizure types. CONCLUSION Our findings will help to prioritize genomic investigations, accelerate molecular diagnoses, and improve the management of PM patients.
Collapse
Affiliation(s)
- Sarah Duerinckx
- Institut de Recherche Interdisciplinaire en Biologie Humaine et moléculaireUniversité Libre de BruxellesBrusselsBelgium
| | - Julie Désir
- Centre de Génétique HumaineInstitut de Pathologie et de GénétiqueGosseliesBelgium
| | - Camille Perazzolo
- Institut de Recherche Interdisciplinaire en Biologie Humaine et moléculaireUniversité Libre de BruxellesBrusselsBelgium
| | - Cindy Badoer
- Department of GeneticsHôpital ErasmeULB Center of Human GeneticsUniversité Libre de BruxellesBrusselsBelgium
| | - Valérie Jacquemin
- Institut de Recherche Interdisciplinaire en Biologie Humaine et moléculaireUniversité Libre de BruxellesBrusselsBelgium
| | - Julie Soblet
- Department of GeneticsHôpital ErasmeULB Center of Human GeneticsUniversité Libre de BruxellesBrusselsBelgium
- Hôpital Universitaire des Enfants Reine Fabiola (HUDERF)Université Libre de BruxellesBrusselsBelgium
| | - Isabelle Maystadt
- Centre de Génétique HumaineInstitut de Pathologie et de GénétiqueGosseliesBelgium
| | - Yusuf Tunca
- Department of Medical GeneticsGülhane Faculty of Medicine & Gülhane Training and Research HospitalUniversity of Health Sciences TurkeyAnkaraTurkey
| | | | | | | | | | - Anne Destree
- Centre de Génétique HumaineInstitut de Pathologie et de GénétiqueGosseliesBelgium
| | | | - Anna Jansen
- Universitair Ziekenhuis Brussel (UZ Brussel)Centrum Medische GeneticaUniversiteit Brussel (VUB)BrusselsBelgium
| | - Kathelijn Keymolen
- Universitair Ziekenhuis Brussel (UZ Brussel)Centrum Medische GeneticaUniversiteit Brussel (VUB)BrusselsBelgium
| | - Damien Lederer
- Centre de Génétique HumaineInstitut de Pathologie et de GénétiqueGosseliesBelgium
| | - Bart Loeys
- University and University Hospital of AntwerpAntwerpBelgium
| | | | - Stéphanie Moortgat
- Centre de Génétique HumaineInstitut de Pathologie et de GénétiqueGosseliesBelgium
| | - Geert Mortier
- University and University Hospital of AntwerpAntwerpBelgium
| | | | | | | | | | | | - Hilde Van Esch
- Center for Human GeneticsUniversity Hospitals LeuvenLeuvenBelgium
| | | | | | - Catheline Vilain
- Department of GeneticsHôpital ErasmeULB Center of Human GeneticsUniversité Libre de BruxellesBrusselsBelgium
- Hôpital Universitaire des Enfants Reine Fabiola (HUDERF)Université Libre de BruxellesBrusselsBelgium
| | | | | | - Alain Verloes
- Department of GeneticsAPHPRobert Debré University HospitalParisFrance
| | - Alec Aeby
- Hôpital Universitaire des Enfants Reine Fabiola (HUDERF)Université Libre de BruxellesBrusselsBelgium
| | - Nicolas Deconinck
- Hôpital Universitaire des Enfants Reine Fabiola (HUDERF)Université Libre de BruxellesBrusselsBelgium
| | | | - Isabelle Pirson
- Institut de Recherche Interdisciplinaire en Biologie Humaine et moléculaireUniversité Libre de BruxellesBrusselsBelgium
| | - Marc Abramowicz
- Institut de Recherche Interdisciplinaire en Biologie Humaine et moléculaireUniversité Libre de BruxellesBrusselsBelgium
- Department of Genetic Medicine and DevelopmentUniversity of GenevaGenèveSwitzerland
| |
Collapse
|
48
|
Yasuhara J, Garg V. Genetics of congenital heart disease: a narrative review of recent advances and clinical implications. Transl Pediatr 2021; 10:2366-2386. [PMID: 34733677 PMCID: PMC8506053 DOI: 10.21037/tp-21-297] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 08/20/2021] [Indexed: 12/23/2022] Open
Abstract
Congenital heart disease (CHD) is the most common human birth defect and remains a leading cause of mortality in childhood. Although advances in clinical management have improved the survival of children with CHD, adult survivors commonly experience cardiac and non-cardiac comorbidities, which affect quality of life and prognosis. Therefore, the elucidation of genetic etiologies of CHD not only has important clinical implications for genetic counseling of patients and families but may also impact clinical outcomes by identifying at-risk patients. Recent advancements in genetic technologies, including massively parallel sequencing, have allowed for the discovery of new genetic etiologies for CHD. Although variant prioritization and interpretation of pathogenicity remain challenges in the field of CHD genomics, advances in single-cell genomics and functional genomics using cellular and animal models of CHD have the potential to provide novel insights into the underlying mechanisms of CHD and its associated morbidities. In this review, we provide an updated summary of the established genetic contributors to CHD and discuss recent advances in our understanding of the genetic architecture of CHD along with current challenges with the interpretation of genetic variation. Furthermore, we highlight the clinical implications of genetic findings to predict and potentially improve clinical outcomes in patients with CHD.
Collapse
Affiliation(s)
- Jun Yasuhara
- Center for Cardiovascular Research, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA.,Heart Center, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Vidu Garg
- Center for Cardiovascular Research, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA.,Heart Center, Nationwide Children's Hospital, Columbus, Ohio, USA.,Department of Pediatrics, The Ohio State University, Columbus, Ohio, USA.,Department of Molecular Genetics, The Ohio State University, Columbus, Ohio, USA
| |
Collapse
|
49
|
Wu X, Li Y, Su L, Xie X, Cai M, Lin N, Huang H, Lin Y, Xu L. Chromosomal Microarray Analysis for the Fetuses with Aortic Arch Abnormalities and Normal Karyotype. Mol Diagn Ther 2021; 24:611-619. [PMID: 32651932 PMCID: PMC7497298 DOI: 10.1007/s40291-020-00474-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background Aortic arch abnormalities (AAA) are abnormal embryologic developments of the aorta and its branches. Their outcomes often depend on their association with other congenital diseases and genetic testing results. Objective This study aimed to evaluate the yield of chromosomal microarray analysis (CMA) in fetuses with different patterns of AAA and normal karyotype. Methods Data from 158 pregnancies referred for prenatal CMA testing due to fetal AAA were obtained between April 2016 and April 2019. Fetuses with isolated AAA, AAA accompanied by soft ultrasound markers, and AAA with other ultrasound malformations were classified into groups A, B, and C, respectively. Cases with detectable karyotype aberrations were excluded from the study. Results Twenty cases (12.7%) of submicroscopic anomalies were detected in 158 cases with normal karyotype, comprising 16 cases (10.1%) of clinically significant variants, two cases (1.3%) of variants of unknown significance, and two variants (1.3%) that were likely benign. Microdeletion of 22q11.2 accounted for 25% (4/16) of the clinically significant variants. The overall incremental yields by CMA in group A, group B, and group C were 1.8%, 2.3%, and 24.1%, respectively. Except for double aortic arch, the incremental yield of clinical significant findings for each type of AAA in group C was much higher than that in group A and group B. In group A, a clinically significant variant was only detected in one fetus with right aortic arch (RAA) (1.8%, 1/57). Conclusions In addition to 22q11.2 microdeletion, many other clinically significant submicroscopic variants are present in fetuses with AAA, especially in fetuses with other ultrasound malformations. Although CMA is always recommended in the presence of any malformation in many countries, our results suggest insufficient evidence to recommend CMA in fetuses with isolated AAA, except for isolated RAA.
Collapse
Affiliation(s)
- Xiaoqing Wu
- Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Ying Li
- Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Linjuan Su
- Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Xiaorui Xie
- Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Meiying Cai
- Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Na Lin
- Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Hailong Huang
- Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Yuan Lin
- Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Liangpu Xu
- Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, Fujian, China.
| |
Collapse
|
50
|
Modenato C, Kumar K, Moreau C, Martin-Brevet S, Huguet G, Schramm C, Jean-Louis M, Martin CO, Younis N, Tamer P, Douard E, Thébault-Dagher F, Côté V, Charlebois AR, Deguire F, Maillard AM, Rodriguez-Herreros B, Pain A, Richetin S, Melie-Garcia L, Kushan L, Silva AI, van den Bree MBM, Linden DEJ, Owen MJ, Hall J, Lippé S, Chakravarty M, Bzdok D, Bearden CE, Draganski B, Jacquemont S. Effects of eight neuropsychiatric copy number variants on human brain structure. Transl Psychiatry 2021; 11:399. [PMID: 34285187 PMCID: PMC8292542 DOI: 10.1038/s41398-021-01490-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 06/03/2021] [Accepted: 06/16/2021] [Indexed: 02/07/2023] Open
Abstract
Many copy number variants (CNVs) confer risk for the same range of neurodevelopmental symptoms and psychiatric conditions including autism and schizophrenia. Yet, to date neuroimaging studies have typically been carried out one mutation at a time, showing that CNVs have large effects on brain anatomy. Here, we aimed to characterize and quantify the distinct brain morphometry effects and latent dimensions across 8 neuropsychiatric CNVs. We analyzed T1-weighted MRI data from clinically and non-clinically ascertained CNV carriers (deletion/duplication) at the 1q21.1 (n = 39/28), 16p11.2 (n = 87/78), 22q11.2 (n = 75/30), and 15q11.2 (n = 72/76) loci as well as 1296 non-carriers (controls). Case-control contrasts of all examined genomic loci demonstrated effects on brain anatomy, with deletions and duplications showing mirror effects at the global and regional levels. Although CNVs mainly showed distinct brain patterns, principal component analysis (PCA) loaded subsets of CNVs on two latent brain dimensions, which explained 32 and 29% of the variance of the 8 Cohen's d maps. The cingulate gyrus, insula, supplementary motor cortex, and cerebellum were identified by PCA and multi-view pattern learning as top regions contributing to latent dimension shared across subsets of CNVs. The large proportion of distinct CNV effects on brain morphology may explain the small neuroimaging effect sizes reported in polygenic psychiatric conditions. Nevertheless, latent gene brain morphology dimensions will help subgroup the rapidly expanding landscape of neuropsychiatric variants and dissect the heterogeneity of idiopathic conditions.
Collapse
Affiliation(s)
- Claudia Modenato
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Kuldeep Kumar
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Clara Moreau
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Sandra Martin-Brevet
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Guillaume Huguet
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Catherine Schramm
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Martineau Jean-Louis
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | | | - Nadine Younis
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Petra Tamer
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Elise Douard
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | | | - Valérie Côté
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | | | - Florence Deguire
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Anne M Maillard
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Borja Rodriguez-Herreros
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Aurèlie Pain
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Sonia Richetin
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Lester Melie-Garcia
- Applied Signal Processing Group (ASPG), Swiss Federal Institute Lausanne (EPFL), Lausanne, Switzerland
| | - Leila Kushan
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Ana I Silva
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Marianne B M van den Bree
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - David E J Linden
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Jeremy Hall
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - Sarah Lippé
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | | | - Danilo Bzdok
- Department of Biomedical Engineering, McConnell Brain Imaging Centre; Montreal Neurological Institute, McGill University, Montréal, QC, Canada
- Mila - Quebec Artificial Intelligence Institute, Montréal, QC, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Bogdan Draganski
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
- Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Sébastien Jacquemont
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada.
| |
Collapse
|