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Li MD, Liu Q, Shi X, Wang Y, Zhu Z, Guan Y, He J, Han H, Mao Y, Ma Y, Yuan W, Yao J, Yang Z. Integrative analysis of genetics, epigenetics and RNA expression data reveal three susceptibility loci for smoking behavior in Chinese Han population. Mol Psychiatry 2024:10.1038/s41380-024-02599-1. [PMID: 38789676 DOI: 10.1038/s41380-024-02599-1] [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: 08/31/2023] [Revised: 04/18/2024] [Accepted: 05/03/2024] [Indexed: 05/26/2024]
Abstract
Despite numerous studies demonstrate that genetics and epigenetics factors play important roles on smoking behavior, our understanding of their functional relevance and coordinated regulation remains largely unknown. Here we present a multiomics study on smoking behavior for Chinese smoker population with the goal of not only identifying smoking-associated functional variants but also deciphering the pathogenesis and mechanism underlying smoking behavior in this under-studied ethnic population. After whole-genome sequencing analysis of 1329 Chinese Han male samples in discovery phase and OpenArray analysis of 3744 samples in replication phase, we discovered that three novel variants located near FOXP1 (rs7635815), and between DGCR6 and PRODH (rs796774020), and in ARVCF (rs148582811) were significantly associated with smoking behavior. Subsequently cis-mQTL and cis-eQTL analysis indicated that these variants correlated significantly with the differential methylation regions (DMRs) or differential expressed genes (DEGs) located in the regions where these variants present. Finally, our in silico multiomics analysis revealed several hub genes, like DRD2, PTPRD, FOXP1, COMT, CTNNAP2, to be synergistic regulated each other in the etiology of smoking.
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Affiliation(s)
- Ming D Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Research Center for Air Pollution and Health, Zhejiang University, Hangzhou, China.
| | - Qiang Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaoqiang Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yan Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhouhai Zhu
- Joint Institute of Tobacco and Health, Kunming, Yunnan, China
| | - Ying Guan
- Joint Institute of Tobacco and Health, Kunming, Yunnan, China
| | - Jingmin He
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- College of Biological Sciences, Shanxi Agricultural University, Taigu, Shanxi, China
| | - Haijun Han
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ying Mao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yunlong Ma
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wenji Yuan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianhua Yao
- Joint Institute of Tobacco and Health, Kunming, Yunnan, China
| | - Zhongli Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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2
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de Wallau MB, Xavier AC, Moreno CA, Kim CA, Mendes EL, Ribeiro EM, Oliveira A, Félix TM, Fett-Conte AC, Bonadia LC, Correia-Costa GR, Monlleó IL, Gil-da-Silva-Lopes VL, Vieira TP. 22q11.2 Deletion Syndrome: Influence of Parental Origin on Clinical Heterogeneity. Genes (Basel) 2024; 15:518. [PMID: 38674452 PMCID: PMC11050591 DOI: 10.3390/genes15040518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/18/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024] Open
Abstract
22q11.2 deletion syndrome (22q11.2DS) shows significant clinical heterogeneity. This study aimed to explore the association between clinical heterogeneity in 22q11.2DS and the parental origin of the deletion. The parental origin of the deletion was determined for 61 individuals with 22q11.2DS by genotyping DNA microsatellite markers and single-nucleotide polymorphisms (SNPs). Among the 61 individuals, 29 (47.5%) had a maternal origin of the deletion, and 32 (52.5%) a paternal origin. Comparison of the frequency of the main clinical features between individuals with deletions of maternal or paternal origin showed no statistically significant difference. However, Truncus arteriosus, pulmonary atresia, seizures, and scoliosis were only found in patients with deletions of maternal origin. Also, a slight difference in the frequency of other clinical features between groups of maternal or paternal origin was noted, including congenital heart disease, endocrinological alterations, and genitourinary abnormalities, all of them more common in patients with deletions of maternal origin. Although parental origin of the deletion does not seem to contribute to the phenotypic variability of most clinical signs observed in 22q11.2DS, these findings suggest that patients with deletions of maternal origin could have a more severe phenotype. Further studies with larger samples focusing on these specific features could corroborate these findings.
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Affiliation(s)
- Melissa Bittencourt de Wallau
- Medical Genetics and Genomic Medicine, Department of Translational Medicine, School of Medical Sciences, State University of Campinas, Campinas 13083-887, São Paulo, Brazil; (M.B.d.W.); (C.A.M.); (L.C.B.); (G.R.C.-C.); (V.L.G.-d.-S.-L.)
| | | | - Carolina Araújo Moreno
- Medical Genetics and Genomic Medicine, Department of Translational Medicine, School of Medical Sciences, State University of Campinas, Campinas 13083-887, São Paulo, Brazil; (M.B.d.W.); (C.A.M.); (L.C.B.); (G.R.C.-C.); (V.L.G.-d.-S.-L.)
| | - Chong Ae Kim
- Instituto da Criança, Hospital de Clínicas, FMUSP, São Paulo 05403-000, São Paulo, Brazil;
| | - Elaine Lustosa Mendes
- Serviço de Genética do Hospital de Clínicas da UFPR, Curitiba 80060-900, Paraná, Brazil;
| | - Erlane Marques Ribeiro
- Serviço de Genética do Hospital Infantil Albert Sabin—HIAS, Fortaleza 60410-794, Ceará, Brazil;
| | - Amanda Oliveira
- Centro de Atenção aos Defeitos da Face—CADEFI, Recife 50060-293, Pernambuco, Brazil;
| | - Têmis Maria Félix
- Serviço de Genética Médica do Hospital de Clínicas de Porto Alegre—HCPA, Porto Alegre 90035-903, Rio Grande do Sul, Brazil;
| | - Agnes Cristina Fett-Conte
- Serviço de Genética da Faculdade de Medicina de São José do Rio Preto (FAMERP/FUNFARME), São José do Rio Preto 15090-000, São Paulo, Brazil;
| | - Luciana Cardoso Bonadia
- Medical Genetics and Genomic Medicine, Department of Translational Medicine, School of Medical Sciences, State University of Campinas, Campinas 13083-887, São Paulo, Brazil; (M.B.d.W.); (C.A.M.); (L.C.B.); (G.R.C.-C.); (V.L.G.-d.-S.-L.)
| | - Gabriela Roldão Correia-Costa
- Medical Genetics and Genomic Medicine, Department of Translational Medicine, School of Medical Sciences, State University of Campinas, Campinas 13083-887, São Paulo, Brazil; (M.B.d.W.); (C.A.M.); (L.C.B.); (G.R.C.-C.); (V.L.G.-d.-S.-L.)
| | - Isabella Lopes Monlleó
- Serviço de Genética Médica do Hospital Universitário Prof. Alberto Antunes (HUPAA), Faculdade de Medicina, Universidade Federal de Alagoas (UFAL), Maceió 57072-900, Alagoas, Brazil;
| | - Vera Lúcia Gil-da-Silva-Lopes
- Medical Genetics and Genomic Medicine, Department of Translational Medicine, School of Medical Sciences, State University of Campinas, Campinas 13083-887, São Paulo, Brazil; (M.B.d.W.); (C.A.M.); (L.C.B.); (G.R.C.-C.); (V.L.G.-d.-S.-L.)
| | - Társis Paiva Vieira
- Medical Genetics and Genomic Medicine, Department of Translational Medicine, School of Medical Sciences, State University of Campinas, Campinas 13083-887, São Paulo, Brazil; (M.B.d.W.); (C.A.M.); (L.C.B.); (G.R.C.-C.); (V.L.G.-d.-S.-L.)
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Mannstadt M, Cianferotti L, Gafni RI, Giusti F, Kemp EH, Koch CA, Roszko KL, Yao L, Guyatt GH, Thakker RV, Xia W, Brandi ML. Hypoparathyroidism: Genetics and Diagnosis. J Bone Miner Res 2022; 37:2615-2629. [PMID: 36375809 DOI: 10.1002/jbmr.4667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 07/22/2022] [Accepted: 07/31/2022] [Indexed: 01/05/2023]
Abstract
This narrative report summarizes diagnostic criteria for hypoparathyroidism and describes the clinical presentation and underlying genetic causes of the nonsurgical forms. We conducted a comprehensive literature search from January 2000 to January 2021 and included landmark articles before 2000, presenting a comprehensive update of these topics and suggesting a research agenda to improve diagnosis and, eventually, the prognosis of the disease. Hypoparathyroidism, which is characterized by insufficient secretion of parathyroid hormone (PTH) leading to hypocalcemia, is diagnosed on biochemical grounds. Low albumin-adjusted calcium or ionized calcium with concurrent inappropriately low serum PTH concentration are the hallmarks of the disease. In this review, we discuss the characteristics and pitfalls in measuring calcium and PTH. We also undertook a systematic review addressing the utility of measuring calcium and PTH within 24 hours after total thyroidectomy to predict long-term hypoparathyroidism. A summary of the findings is presented here; results of the detailed systematic review are published separately in this issue of JBMR. Several genetic disorders can present with hypoparathyroidism, either as an isolated disease or as part of a syndrome. A positive family history and, in the case of complex diseases, characteristic comorbidities raise the clinical suspicion of a genetic disorder. In addition to these disorders' phenotypic characteristics, which include autoimmune diseases, we discuss approaches for the genetic diagnosis. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Michael Mannstadt
- Endocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Luisella Cianferotti
- Bone Metabolic Diseases Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
| | - Rachel I Gafni
- National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Christian A Koch
- Department of Medicine/Endocrinology, Fox Chase Cancer Center, Philadelphia, PA, USA.,Department of Medicine/Endocrinology, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Kelly L Roszko
- National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD, USA
| | - Liam Yao
- Department of Health Research Methods, Evidence, and Impact, and Department of Medicine, McMaster University, Hamilton, Canada
| | - Gordon H Guyatt
- Department of Health Research Methods, Evidence, and Impact, and Department of Medicine, McMaster University, Hamilton, Canada
| | - Rajesh V Thakker
- Academic Endocrine Unit, Radcliffe Department of Medicine, University of Oxford, Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), Churchill Hospital, Headington, Oxford, UK.,Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Weibo Xia
- Department of Endocrinology, Peking Union Medical Collage Hospital, Beijing, China
| | - Maria-Luisa Brandi
- Fondazione Italiana sulla Ricerca sulle Malattie dell'Osso (F.I.R.M.O. Foundation), Florence, Italy
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4
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Jima DD, Skaar DA, Planchart A, Motsinger-Reif A, Cevik SE, Park SS, Cowley M, Wright F, House J, Liu A, Jirtle RL, Hoyo C. Genomic map of candidate human imprint control regions: the imprintome. Epigenetics 2022; 17:1920-1943. [PMID: 35786392 PMCID: PMC9665137 DOI: 10.1080/15592294.2022.2091815] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Imprinted genes – critical for growth, metabolism, and neuronal function – are expressed from one parental allele. Parent-of-origin-dependent CpG methylation regulates this expression at imprint control regions (ICRs). Since ICRs are established before tissue specification, these methylation marks are similar across cell types. Thus, they are attractive for investigating the developmental origins of adult diseases using accessible tissues, but remain unknown. We determined genome-wide candidate ICRs in humans by performing whole-genome bisulphite sequencing (WGBS) of DNA derived from the three germ layers and from gametes. We identified 1,488 hemi-methylated candidate ICRs, including 19 of 25 previously characterized ICRs (https://humanicr.org/). Gamete methylation approached 0% or 100% in 332 ICRs (178 paternally and 154 maternally methylated), supporting parent-of-origin-specific methylation, and 65% were in well-described CTCF-binding or DNaseI hypersensitive regions. This draft of the human imprintome will allow for the systematic determination of the role of early-acquired imprinting dysregulation in the pathogenesis of human diseases and developmental and behavioural disorders.
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Affiliation(s)
- Dereje D Jima
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA.,Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
| | - David A Skaar
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA.,Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA.,Toxicology Program, North Carolina State University, Raleigh, NC, USA
| | - Antonio Planchart
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA.,Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA.,Toxicology Program, North Carolina State University, Raleigh, NC, USA
| | - Alison Motsinger-Reif
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA.,Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA.,National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Sebnem E Cevik
- Toxicology Program, North Carolina State University, Raleigh, NC, USA
| | - Sarah S Park
- Toxicology Program, North Carolina State University, Raleigh, NC, USA.,Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Michael Cowley
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA.,Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA.,Toxicology Program, North Carolina State University, Raleigh, NC, USA
| | - Fred Wright
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA.,Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
| | - John House
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA.,Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA.,Toxicology Program, North Carolina State University, Raleigh, NC, USA.,National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Andy Liu
- Department of Neurology, Duke University, School of Medicine, Durham, NC, USA
| | - Randy L Jirtle
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA.,Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA.,Toxicology Program, North Carolina State University, Raleigh, NC, USA
| | - Cathrine Hoyo
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA.,Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA.,Toxicology Program, North Carolina State University, Raleigh, NC, USA
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Mosley TJ, Johnston HR, Cutler DJ, Zwick ME, Mulle JG. Sex-specific recombination patterns predict parent of origin for recurrent genomic disorders. BMC Med Genomics 2021; 14:154. [PMID: 34107974 PMCID: PMC8190997 DOI: 10.1186/s12920-021-00999-8] [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: 07/28/2020] [Accepted: 06/02/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Structural rearrangements of the genome, which generally occur during meiosis and result in large-scale (> 1 kb) copy number variants (CNV; deletions or duplications ≥ 1 kb), underlie genomic disorders. Recurrent pathogenic CNVs harbor similar breakpoints in multiple unrelated individuals and are primarily formed via non-allelic homologous recombination (NAHR). Several pathogenic NAHR-mediated recurrent CNV loci demonstrate biases for parental origin of de novo CNVs. However, the mechanism underlying these biases is not well understood. METHODS We performed a systematic, comprehensive literature search to curate parent of origin data for multiple pathogenic CNV loci. Using a regression framework, we assessed the relationship between parental CNV origin and the male to female recombination rate ratio. RESULTS We demonstrate significant association between sex-specific differences in meiotic recombination and parental origin biases at these loci (p = 1.07 × 10-14). CONCLUSIONS Our results suggest that parental origin of CNVs is largely influenced by sex-specific recombination rates and highlight the need to consider these differences when investigating mechanisms that cause structural variation.
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Affiliation(s)
- Trenell J Mosley
- Graduate Program in Genetics and Molecular Biology, Laney Graduate School, Emory University, 201 Dowman Drive, Atlanta, GA, 30322, USA
- Department of Human Genetics, Emory University School of Medicine, 615 Michael Street, Whitehead Building Suite 300, Atlanta, GA, 30322, USA
| | - H Richard Johnston
- Department of Human Genetics, Emory University School of Medicine, 615 Michael Street, Whitehead Building Suite 300, Atlanta, GA, 30322, USA
- Emory Integrated Computational Core, Emory University, 101 Woodruff Circle, Atlanta, GA, 30322, USA
| | - David J Cutler
- Department of Human Genetics, Emory University School of Medicine, 615 Michael Street, Whitehead Building Suite 300, Atlanta, GA, 30322, USA
| | - Michael E Zwick
- Department of Human Genetics, Emory University School of Medicine, 615 Michael Street, Whitehead Building Suite 300, Atlanta, GA, 30322, USA
- Department of Pediatrics, Emory University School of Medicine, 2015 Uppergate Drive, Atlanta, GA, 30322, USA
| | - Jennifer G Mulle
- Department of Human Genetics, Emory University School of Medicine, 615 Michael Street, Whitehead Building Suite 300, Atlanta, GA, 30322, USA.
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, USA.
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Spatiotemporal 22q11.21 Protein Network Implicates DGCR8-Dependent MicroRNA Biogenesis as a Risk for Late-Fetal Cortical Development in Psychiatric Diseases. Life (Basel) 2021; 11:life11060514. [PMID: 34073122 PMCID: PMC8227527 DOI: 10.3390/life11060514] [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: 05/14/2021] [Revised: 05/28/2021] [Accepted: 05/31/2021] [Indexed: 12/28/2022] Open
Abstract
The chromosome 22q11.21 copy number variant (CNV) is a vital risk factor that can be a genetic predisposition to neurodevelopmental disorders (NDD). As the 22q11.21 CNV affects multiple genes, causal disease genes and mechanisms affected are still poorly understood. Thus, we aimed to identify the most impactful 22q11.21 CNV genes and the potential impacted human brain regions, developmental stages and signaling pathways. We constructed the spatiotemporal dynamic networks of 22q11.21 CNV genes using the brain developmental transcriptome and physical protein–protein interactions. The affected brain regions, developmental stages, driver genes and pathways were subsequently investigated via integrated bioinformatics analysis. As a result, we first identified that 22q11.21 CNV genes affect the cortical area mainly during late fetal periods. Interestingly, we observed that connections between a driver gene, DGCR8, and its interacting partners, MECP2 and CUL3, also network hubs, only existed in the network of the late fetal period within the cortical region, suggesting their functional specificity during brain development. We also confirmed the physical interaction result between DGCR8 and CUL3 by liquid chromatography-tandem mass spectrometry. In conclusion, our results could suggest that the disruption of DGCR8-dependent microRNA biogenesis plays a vital role in NDD for late fetal cortical development.
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Manno GC, Segal GS, Yu A, Xu F, Ray JW, Cooney E, Britt AD, Jain SK, Goldblum RM, Robinson SS, Dong J. Genotypic and phenotypic variability of 22q11.2 microdeletions – an institutional experience. AIMS MOLECULAR SCIENCE 2021; 8:257-274. [PMID: 34938854 PMCID: PMC8691803 DOI: 10.3934/molsci.2021020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
<abstract>
<p>Patients with chromosome 22q11.2 deletion syndromes classically present with variable cardiac defects, parathyroid and thyroid gland hypoplasia, immunodeficiency and velopharyngeal insufficiency, developmental delay, intellectual disability, cognitive impairment, and psychiatric disorders. New technologies including chromosome microarray have identified smaller deletions in the 22q11.2 region. An increasing number of studies have reported patients presenting with various features harboring smaller 22q11.2 deletions, suggesting a need to better elucidate 22q11.2 deletions and their phenotypic contributions so that clinicians may better guide prognosis for families. We identified 16 pediatric patients at our institution harboring various 22q11.2 deletions detected by chromosomal microarray and report their clinical presentations. Findings include various neurodevelopmental delays with the most common one being attention deficit hyperactivity disorder (ADHD), one reported case of infant lethality, four cases of preterm birth, one case with dual diagnoses of 22q11.2 microdeletion and Down syndrome. We examined potential genotypic contributions of the deleted regions.</p>
</abstract>
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Affiliation(s)
- Gabrielle C. Manno
- School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Gabrielle S. Segal
- School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Alexander Yu
- School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Fangling Xu
- Department of Pathology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Joseph W. Ray
- Department of Pediatrics, University of Texas Medical Branch, Galveston, Texas, USA
| | - Erin Cooney
- Department of Pediatrics, University of Texas Medical Branch, Galveston, Texas, USA
| | - Allison D. Britt
- Department of Pediatrics, University of Texas Medical Branch, Galveston, Texas, USA
| | - Sunil K. Jain
- Department of Pediatrics, University of Texas Medical Branch, Galveston, Texas, USA
| | - Randall M. Goldblum
- Department of Pediatrics, University of Texas Medical Branch, Galveston, Texas, USA
| | - Sally S. Robinson
- Department of Pediatrics, University of Texas Medical Branch, Galveston, Texas, USA
| | - Jianli Dong
- Department of Pathology, University of Texas Medical Branch, Galveston, Texas, USA
- Correspondence:; Tel: 4097724866
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8
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Carmel M, Michaelovsky E, Weinberger R, Frisch A, Mekori-Domachevsky E, Gothelf D, Weizman A. Differential methylation of imprinting genes and MHC locus in 22q11.2 deletion syndrome-related schizophrenia spectrum disorders. World J Biol Psychiatry 2021; 22:46-57. [PMID: 32212948 DOI: 10.1080/15622975.2020.1747113] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
OBJECTIVES 22q11.2 deletion syndrome (DS) is the strongest known genetic risk for schizophrenia. Methylome screening was conducted to elucidate possible involvement of epigenetic alterations in the emergence of schizophrenia spectrum disorders (SZ-SD) in 22q11.2DS. METHODS Sixteen adult men with/without SZ-SD were recruited from a 22q11.2DS cohort and underwent genome-wide DNA methylation profile analysis. Differentially methylated probes (DMPs) and regions (DMRs) were analysed using the ChAMP software. RESULTS The DMPs (p-value <10-6) and DMRs (p-valueArea <0.01) were enriched in two gene sets, 'imprinting genes' and 'chr6p21', a region overlapping the MHC locus. Most of the identified imprinting genes are involved in neurodevelopment and located in clusters under imprinting control region (ICR) regulation, including PEG10, SGCE (7q21.3), GNAS, GNAS-AS1 (20q13.32) and SNHG14, SNURF-SNRPN, SNORD115 (15q11.2). The differentially methylated genes from the MHC locus included immune HLA-genes and non-immune genes, RNF39, PPP1R18 and NOTCH4, implicated in neurodevelopment and synaptic plasticity. The most significant DMR is located in MHC locus and covered the transcription regulator ZFP57 that is required for control and maintenance of gene imprinting at multiple ICRs. CONCLUSIONS The differential methylation in imprinting genes and in chr6p21-22 indicate the neurodevelopmental nature of 22q11.2DS-related SZ and the major role of MHC locus in the risk to develop SZ.
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Affiliation(s)
- Miri Carmel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Felsenstein Medical Research Center, Petach Tikva, Israel
| | - Elena Michaelovsky
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Felsenstein Medical Research Center, Petach Tikva, Israel
| | - Ronnie Weinberger
- The Behavioral Neurogenetics Center and Child Psychiatry Division, Sheba Medical Center, Ramat Gan, Israel
| | - Amos Frisch
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Felsenstein Medical Research Center, Petach Tikva, Israel
| | - Ehud Mekori-Domachevsky
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,The Behavioral Neurogenetics Center and Child Psychiatry Division, Sheba Medical Center, Ramat Gan, Israel
| | - Doron Gothelf
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,The Behavioral Neurogenetics Center and Child Psychiatry Division, Sheba Medical Center, Ramat Gan, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Abraham Weizman
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Felsenstein Medical Research Center, Petach Tikva, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.,Geha Mental Health Center, Petach Tikva, Israel
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9
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Consequences of 22q11.2 Microdeletion on the Genome, Individual and Population Levels. Genes (Basel) 2020; 11:genes11090977. [PMID: 32842603 PMCID: PMC7563277 DOI: 10.3390/genes11090977] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 08/17/2020] [Accepted: 08/19/2020] [Indexed: 12/27/2022] Open
Abstract
Chromosomal 22q11.2 deletion syndrome (22q11.2DS) (ORPHA: 567) caused by microdeletion in chromosome 22 is the most common chromosomal microdeletion disorder in humans. Despite the same change on the genome level, like in the case of monozygotic twins, phenotypes are expressed differently in 22q11.2 deletion individuals. The rest of the genome, as well as epigenome and environmental factors, are not without influence on the variability of phenotypes. The penetrance seems to be more genotype specific than deleted locus specific. The transcript levels of deleted genes are not usually reduced by 50% as assumed due to haploinsufficiency. 22q11.2DS is often an undiagnosed condition, as each patient may have a different set out of 180 possible clinical manifestations. Diverse dysmorphic traits are present in patients from different ethnicities, which makes diagnosis even more difficult. 22q11.2 deletion syndrome serves as an example of a genetic syndrome that is not easy to manage at all stages: diagnosis, consulting and dealing with.
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Du Q, de la Morena MT, van Oers NSC. The Genetics and Epigenetics of 22q11.2 Deletion Syndrome. Front Genet 2020; 10:1365. [PMID: 32117416 PMCID: PMC7016268 DOI: 10.3389/fgene.2019.01365] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 12/12/2019] [Indexed: 12/19/2022] Open
Abstract
Chromosome 22q11.2 deletion syndrome (22q11.2del) is a complex, multi-organ disorder noted for its varying severity and penetrance among those affected. The clinical problems comprise congenital malformations; cardiac problems including outflow tract defects, hypoplasia of the thymus, hypoparathyroidism, and/or dysmorphic facial features. Additional clinical issues that can appear over time are autoimmunity, renal insufficiency, developmental delay, malignancy and neurological manifestations such as schizophrenia. The majority of individuals with 22q11.2del have a 3 Mb deletion of DNA on chromosome 22, leading to a haploinsufficiency of ~106 genes, which comprise coding RNAs, noncoding RNAs, and pseudogenes. The consequent haploinsufficiency of many of the coding genes are well described, including the key roles of T-box Transcription Factor 1 (TBX1) and DiGeorge Critical Region 8 (DGCR8) in the clinical phenotypes. However, the haploinsufficiency of these genes alone cannot account for the tremendous variation in the severity and penetrance of the clinical complications among those affected. Recent RNA and DNA sequencing approaches are uncovering novel genetic and epigenetic differences among 22q11.2del patients that can influence disease severity. In this review, the role of coding and non-coding genes, including microRNAs (miRNA) and long noncoding RNAs (lncRNAs), will be discussed in relation to their bearing on 22q11.2del with an emphasis on TBX1.
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Affiliation(s)
- Qiumei Du
- Department of Immunology, The University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - M. Teresa de la Morena
- Department of Pediatrics, The University of Washington and Seattle Children’s Hospital, Seattle, WA, United States
| | - Nicolai S. C. van Oers
- Department of Immunology, The University of Texas Southwestern Medical Center, Dallas, TX, United States
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Gregoric Kumperscak H, Krgovic D, Drobnic Radobuljac M, Senica N, Zagorac A, Kokalj Vokac N. CNVs and Chromosomal Aneuploidy in Patients With Early-Onset Schizophrenia and Bipolar Disorder: Genotype-Phenotype Associations. Front Psychiatry 2020; 11:606372. [PMID: 33510659 PMCID: PMC7837028 DOI: 10.3389/fpsyt.2020.606372] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 12/07/2020] [Indexed: 11/17/2022] Open
Abstract
Introduction: Early-onset schizophrenia (EOS) and bipolar disorder (EOB) start before the age of 18 years and have a more severe clinical course, a worse prognosis, and a greater genetic loading compared to the late-onset forms. Copy number variations (CNVs) are an important genetic factor in the etiology of psychiatric disorders. Therefore, this study aimed to analyze CNVs in patients with EOS and EOB and to establish genotype-phenotype relationships for contiguous gene syndromes or genes affected by identified CNVs. Methods: Molecular karyotyping was performed in 45 patients, 38 with EOS and seven with EOB hospitalized between 2010 and 2017. The exclusion criteria were medical or neurological disorders or IQ under 70. Detected CNVs were analyzed according to the standards and guidelines of the American College of Medical Genetics. Result: Molecular karyotyping showed CNVs in four patients with EOS (encompassing the PAK2, ADAMTS3, and ADAMTSL1 genes, and the 16p11.2 microduplication syndrome) and in two patients with EOB (encompassing the ARHGAP11B and PRODH genes). In one patient with EOB, a chromosomal aneuploidy 47, XYY was found. Discussion: Our study is the first study of CNVs in EOS and EOB patients in Slovenia. Our findings support the association of the PAK2, ARHGAP11B, and PRODH genes with schizophrenia and/or bipolar disorder. To our knowledge, this is also the first report of a multiplication of the ADAMTSL1 gene and the smallest deletion of the PAK2 gene in a patient with EOS, and one of the few reports of the 47, XYY karyotype in a patient with EOB.
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Affiliation(s)
- Hojka Gregoric Kumperscak
- Department of Pediatrics, University Medical Center Maribor, Maribor, Slovenia.,Medical Faculty, University of Maribor, Maribor, Slovenia
| | - Danijela Krgovic
- Medical Faculty, University of Maribor, Maribor, Slovenia.,Laboratory of Medical Genetics, University Medical Center Maribor, Maribor, Slovenia
| | - Maja Drobnic Radobuljac
- Unit for Intensive Child and Adolescent Psychiatry, Center for Mental Health, University Psychiatric Clinic Ljubljana, Ljubljana, Slovenia.,Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Nina Senica
- Department of Pediatrics, University Medical Center Maribor, Maribor, Slovenia
| | - Andreja Zagorac
- Laboratory of Medical Genetics, University Medical Center Maribor, Maribor, Slovenia
| | - Nadja Kokalj Vokac
- Medical Faculty, University of Maribor, Maribor, Slovenia.,Laboratory of Medical Genetics, University Medical Center Maribor, Maribor, Slovenia
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Motahari Z, Moody SA, Maynard TM, LaMantia AS. In the line-up: deleted genes associated with DiGeorge/22q11.2 deletion syndrome: are they all suspects? J Neurodev Disord 2019; 11:7. [PMID: 31174463 PMCID: PMC6554986 DOI: 10.1186/s11689-019-9267-z] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 04/21/2019] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND 22q11.2 deletion syndrome (22q11DS), a copy number variation (CNV) disorder, occurs in approximately 1:4000 live births due to a heterozygous microdeletion at position 11.2 (proximal) on the q arm of human chromosome 22 (hChr22) (McDonald-McGinn and Sullivan, Medicine 90:1-18, 2011). This disorder was known as DiGeorge syndrome, Velo-cardio-facial syndrome (VCFS) or conotruncal anomaly face syndrome (CTAF) based upon diagnostic cardiovascular, pharyngeal, and craniofacial anomalies (McDonald-McGinn and Sullivan, Medicine 90:1-18, 2011; Burn et al., J Med Genet 30:822-4, 1993) before this phenotypic spectrum was associated with 22q11.2 CNVs. Subsequently, 22q11.2 deletion emerged as a major genomic lesion associated with vulnerability for several clinically defined behavioral deficits common to a number of neurodevelopmental disorders (Fernandez et al., Principles of Developmental Genetics, 2015; Robin and Shprintzen, J Pediatr 147:90-6, 2005; Schneider et al., Am J Psychiatry 171:627-39, 2014). RESULTS The mechanistic relationships between heterozygously deleted 22q11.2 genes and 22q11DS phenotypes are still unknown. We assembled a comprehensive "line-up" of the 36 protein coding loci in the 1.5 Mb minimal critical deleted region on hChr22q11.2, plus 20 protein coding loci in the distal 1.5 Mb that defines the 3 Mb typical 22q11DS deletion. We categorized candidates based upon apparent primary cell biological functions. We analyzed 41 of these genes that encode known proteins to determine whether haploinsufficiency of any single 22q11.2 gene-a one gene to one phenotype correspondence due to heterozygous deletion restricted to that locus-versus complex multigenic interactions can account for single or multiple 22q11DS phenotypes. CONCLUSIONS Our 22q11.2 functional genomic assessment does not support current theories of single gene haploinsufficiency for one or all 22q11DS phenotypes. Shared molecular functions, convergence on fundamental cell biological processes, and related consequences of individual 22q11.2 genes point to a matrix of multigenic interactions due to diminished 22q11.2 gene dosage. These interactions target fundamental cellular mechanisms essential for development, maturation, or homeostasis at subsets of 22q11DS phenotypic sites.
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Affiliation(s)
- Zahra Motahari
- The Institute for Neuroscience, and Department of Anatomy and Cell Biology, The George Washington University School of Medicine and Health Sciences, Washington DC, 20037 USA
| | - Sally Ann Moody
- The Institute for Neuroscience, and Department of Anatomy and Cell Biology, The George Washington University School of Medicine and Health Sciences, Washington DC, 20037 USA
| | - Thomas Michael Maynard
- The Institute for Neuroscience, and Department of Anatomy and Cell Biology, The George Washington University School of Medicine and Health Sciences, Washington DC, 20037 USA
| | - Anthony-Samuel LaMantia
- The Institute for Neuroscience, and Department of Anatomy and Cell Biology, The George Washington University School of Medicine and Health Sciences, Washington DC, 20037 USA
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Two approaches reveal a new paradigm of 'switchable or genetics-influenced allele-specific DNA methylation' with potential in human disease. Cell Discov 2017; 3:17038. [PMID: 29387450 PMCID: PMC5787696 DOI: 10.1038/celldisc.2017.38] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 08/29/2017] [Indexed: 12/11/2022] Open
Abstract
Imprinted genes are vulnerable to environmental influences during early embryonic development, thereby contributing to the onset of disease in adulthood. Monoallelic methylation at several germline imprints has been reported as DNMT1-dependent. However, which of these two epigenetic attributes, DNMT1-dependence or allelic methylation, renders imprinted genes susceptible to environmental stressors has not been determined. Herein, we developed a new approach, referred to as NORED, to identify 2468 DNMT1-dependent DNA methylation patterns in the mouse genome. We further developed an algorithm based on a genetic variation-independent approach (referred to as MethylMosaic) to detect 2487 regions with bimodal methylation patterns. Two approaches identified 207 regions, including known imprinted germline allele-specific methylation patterns (ASMs), that were both NORED and MethylMosaic regions. Examination of methylation in four independent mouse embryonic stem cell lines shows that two regions identified by both NORED and MethylMosaic (Hcn2 and Park7) did not display parent-of-origin-dependent allelic methylation. In these four F1 hybrid cell lines, genetic variation in Cast allele at Hcn2 locus introduces a transcription factor binding site for MTF-1 that may predispose Cast allelic hypomethylation in a reciprocal cross with either C57 or 129 strains. In contrast, each allele of Hcn2 ASM in J1 inbred cell line and Park7 ASM in four F1 hybrid cell lines seems to exhibit similar propensity to be either hypo- or hypermethylated, suggesting a ‘random, switchable’ ASM. Together with published results, our data on ASMs prompted us to propose a hypothesis of regional ‘autosomal chromosome inactivation (ACI)’ that may control a subset of autosomal genes. Therefore, our results open a new avenue to understand monoallelic methylation and provide a rich resource of candidate genes to examine in environmental and nutritional exposure models.
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Ersig AL, Starkweather AR. An Integrative Review of Biological Variants and Chronic Stress in Emerging Adults With Chronic Conditions. J Nurs Scholarsh 2017; 49:185-193. [PMID: 28166375 DOI: 10.1111/jnu.12281] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/09/2016] [Indexed: 11/26/2022]
Abstract
PURPOSE The purpose of this integrative review was to evaluate and synthesize studies that incorporated biological measures and examined their associations with chronic stress and anxiety in adolescents and emerging adults with chronic health conditions. DESIGN An integrative literature review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement to identify studies published between 2005 and 2015. METHODS Using key terms, three databases (PubMed/Medline, PsycInfo and the Cumulative Index to Nursing and Allied Health Literature) were searched by a research librarian. Additional publications with relevance to the topic were identified from citing and cited literature. The full text of 61 publications was reviewed. The final group of articles analyzed for this review included 36 peer-reviewed publications and meeting abstracts. FINDINGS Studies varied considerably in characteristics, theoretical frameworks, phenotypes of interest, and study measures. Few studies evaluated genomic variants; those that did often examined small samples and a limited number of biological factors. CONCLUSIONS Studies of chronic stress and anxiety in adolescents and emerging adults with chronic health conditions are currently limited in scope and impact. A more comprehensive approach will facilitate translation into practice to improve short- and long-term health outcomes. CLINICAL RELEVANCE Precision and genomic healthcare initiatives support the relevance of this work for nurses in all areas of clinical practice. Genomic testing is expanding to include individuals in all age groups, with and without diagnosed conditions. As psychological and behavioral phenotypes may influence self-management outcomes of adolescents and emerging adults with chronic health conditions, further research in this area is warranted.
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Affiliation(s)
- Anne L Ersig
- Gamma, Nurse Researcher, Center for Pediatric Nursing Research & Evidence Based Practice, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
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Rakonjac M, Cuturilo G, Stevanovic M, Jelicic L, Subotic M, Jovanovic I, Drakulic D. Differences in speech and language abilities between children with 22q11.2 deletion syndrome and children with phenotypic features of 22q11.2 deletion syndrome but without microdeletion. RESEARCH IN DEVELOPMENTAL DISABILITIES 2016; 55:322-329. [PMID: 27235769 DOI: 10.1016/j.ridd.2016.05.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2015] [Revised: 05/07/2016] [Accepted: 05/09/2016] [Indexed: 06/05/2023]
Abstract
BACKGROUND 22q11.2DS is the most common microdeletion syndrome in humans, usually associated with speech and language delay (SLD). Approximately 75% of children with 22q11.2 microdeletion have congenital heart malformations (CHM) which after infant open-heart surgery might lead to SLD. AIMS The purpose of this study was to determine whether factors associated with microdeletion contribute to SLD in children with 22q11.2DS. METHODS AND PROCEDURES We compared speech and language abilities of two groups of school-aged children: those with 22q11.2 microdeletion (E1) and those with the phenotype resembling 22q11.2DS but without the microdeletion (E2). An age-matched group of typically developing children was also tested. OUTCOMES AND RESULTS The obtained results revealed that children from group E1 have lower level of speech and language abilities compared to children from group E2 and control group. Additionally, mild to moderate SLD was detected in children from group E2 compared to children from the control group. CONCLUSIONS AND IMPLICATIONS The obtained results imply that both CHM after infant open-heart surgery and other factors associated with 22q11.2 microdeletion, contribute to SLD in patients with 22q11.2 microdeletion. Based on this, we could postulate that there is/are some potential candidate gene(s), located in the 22q11.2 region, whose function could be important for speech and language development.
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Affiliation(s)
- Marijana Rakonjac
- Institute for Experimental Phonetics and Speech Pathology, Jovanova 35, Belgrade, Serbia; Life Activities Advancement Center, Jovanova 35, Belgrade, Serbia.
| | - Goran Cuturilo
- Faculty of Medicine, University of Belgrade, Dr Subotica 8, 11000 Belgrade, Serbia; University Children's Hospital, Tirsova 10, 11000 Belgrade, Serbia.
| | - Milena Stevanovic
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Vojvode Stepe 444a, 11010 Belgrade, Serbia.
| | - Ljiljana Jelicic
- Institute for Experimental Phonetics and Speech Pathology, Jovanova 35, Belgrade, Serbia; Life Activities Advancement Center, Jovanova 35, Belgrade, Serbia.
| | - Misko Subotic
- Institute for Experimental Phonetics and Speech Pathology, Jovanova 35, Belgrade, Serbia; Life Activities Advancement Center, Jovanova 35, Belgrade, Serbia.
| | - Ida Jovanovic
- Faculty of Medicine, University of Belgrade, Dr Subotica 8, 11000 Belgrade, Serbia; University Children's Hospital, Tirsova 10, 11000 Belgrade, Serbia.
| | - Danijela Drakulic
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Vojvode Stepe 444a, 11010 Belgrade, Serbia.
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Conte F, Oti M, Dixon J, Carels CEL, Rubini M, Zhou H. Systematic analysis of copy number variants of a large cohort of orofacial cleft patients identifies candidate genes for orofacial clefts. Hum Genet 2015; 135:41-59. [PMID: 26561393 PMCID: PMC4698300 DOI: 10.1007/s00439-015-1606-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Accepted: 10/15/2015] [Indexed: 12/16/2022]
Abstract
Orofacial clefts (OFCs) represent a large fraction of human birth defects and are one of the most common phenotypes affected by large copy number variants (CNVs). Due to the limited number of CNV patients in individual centers, CNV analyses of a large number of OFC patients are challenging. The present study analyzed 249 genomic deletions and 226 duplications from a cohort of 312 OFC patients reported in two publicly accessible databases of chromosome imbalance and phenotype in humans, DECIPHER and ECARUCA. Genomic regions deleted or duplicated in multiple patients were identified, and genes in these overlapping CNVs were prioritized based on the number of genes encompassed by the region and gene expression in embryonic mouse palate. Our analyses of these overlapping CNVs identified two genes known to be causative for human OFCs, SATB2 and MEIS2, and 12 genes (DGCR6, FGF2, FRZB, LETM1, MAPK3, SPRY1, THBS1, TSHZ1, TTC28, TULP4, WHSC1, WHSC2) that are associated with OFC or orofacial development. Additionally, we report 34 deleted and 24 duplicated genes that have not previously been associated with OFCs but are associated with the BMP, MAPK and RAC1 pathways. Statistical analyses show that the high number of overlapping CNVs is not due to random occurrence. The identified genes are not located in highly variable genomic regions in healthy populations and are significantly enriched for genes that are involved in orofacial development. In summary, we report a CNV analysis pipeline of a large cohort of OFC patients and identify novel candidate OFC genes.
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Affiliation(s)
- Federica Conte
- Department of Molecular Developmental Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University, Nijmegen, The Netherlands.,Medical Genetic Unit, Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, Ferrara, Italy
| | - Martin Oti
- Department of Molecular Developmental Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University, Nijmegen, The Netherlands
| | - Jill Dixon
- Faculty of Medical and Human Sciences, University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT, UK
| | - Carine E L Carels
- Department of Orthodontics and Craniofacial Biology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Michele Rubini
- Medical Genetic Unit, Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, Ferrara, Italy.
| | - Huiqing Zhou
- Department of Molecular Developmental Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University, Nijmegen, The Netherlands. .,Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
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Guna A, Butcher NJ, Bassett AS. Comparative mapping of the 22q11.2 deletion region and the potential of simple model organisms. J Neurodev Disord 2015; 7:18. [PMID: 26137170 PMCID: PMC4487986 DOI: 10.1186/s11689-015-9113-x] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Accepted: 05/26/2015] [Indexed: 01/18/2023] Open
Abstract
Background 22q11.2 deletion syndrome (22q11.2DS) is the most common micro-deletion syndrome. The associated 22q11.2 deletion conveys the strongest known molecular risk for schizophrenia. Neurodevelopmental phenotypes, including intellectual disability, are also prominent though variable in severity. Other developmental features include congenital cardiac and craniofacial anomalies. Whereas existing mouse models have been helpful in determining the role of some genes overlapped by the hemizygous 22q11.2 deletion in phenotypic expression, much remains unknown. Simple model organisms remain largely unexploited in exploring these genotype-phenotype relationships. Methods We first developed a comprehensive map of the human 22q11.2 deletion region, delineating gene content, and brain expression. To identify putative orthologs, standard methods were used to interrogate the proteomes of the zebrafish (D. rerio), fruit fly (D. melanogaster), and worm (C. elegans), in addition to the mouse. Spatial locations of conserved homologues were mapped to examine syntenic relationships. We systematically cataloged available knockout and knockdown models of all conserved genes across these organisms, including a comprehensive review of associated phenotypes. Results There are 90 genes overlapped by the typical 2.5 Mb deletion 22q11.2 region. Of the 46 protein-coding genes, 41 (89.1 %) have documented expression in the human brain. Identified homologues in the zebrafish (n = 37, 80.4 %) were comparable to those in the mouse (n = 40, 86.9 %) and included some conserved gene cluster structures. There were 22 (47.8 %) putative homologues in the fruit fly and 17 (37.0 %) in the worm involving multiple chromosomes. Individual gene knockdown mutants were available for the simple model organisms, but not for mouse. Although phenotypic data were relatively limited for knockout and knockdown models of the 17 genes conserved across all species, there was some evidence for roles in neurodevelopmental phenotypes, including four of the six mitochondrial genes in the 22q11.2 deletion region. Conclusions Simple model organisms represent a powerful but underutilized means of investigating the molecular mechanisms underlying the elevated risk for neurodevelopmental disorders in 22q11.2DS. This comparative multi-species study provides novel resources and support for the potential utility of non-mouse models in expression studies and high-throughput drug screening. The approach has implications for other recurrent copy number variations associated with neurodevelopmental phenotypes. Electronic supplementary material The online version of this article (doi:10.1186/s11689-015-9113-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Alina Guna
- Clinical Genetics Research Program and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON Canada
| | - Nancy J Butcher
- Clinical Genetics Research Program and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON Canada ; Institute of Medical Science, University of Toronto, Toronto, ON Canada
| | - Anne S Bassett
- Clinical Genetics Research Program and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON Canada ; Institute of Medical Science, University of Toronto, Toronto, ON Canada ; Dalglish Family Hearts and Minds Clinic for Adults with 22q11.2 Deletion Syndrome, Division of Cardiology, Department of Medicine, Department of Psychiatry, and Toronto General Research Institute, University Health Network, Toronto, ON Canada ; Department of Psychiatry, University of Toronto, Toronto, ON Canada ; Centre for Addiction and Mental Health, 33 Russell Street, Room 1100, M5S 2S1 Toronto, ON Canada
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Zeitz MJ, Lerner PP, Ay F, Van Nostrand E, Heidmann JD, Noble WS, Hoffman AR. Implications of COMT long-range interactions on the phenotypic variability of 22q11.2 deletion syndrome. Nucleus 2013; 4:487-93. [PMID: 24448439 DOI: 10.4161/nucl.27364] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
22q11.2 deletion syndrome (22q11DS) results from a hemizygous microdeletion on chromosome 22 and is characterized by extensive phenotypic variability. Penetrance of signs, including congenital heart, craniofacial, and neurobehavioral abnormalities, varies widely and is not well correlated with genotype. The three-dimensional structure of the genome may help explain some of this variability. The physical interaction profile of a given gene locus with other genetic elements, such as enhancers and co-regulated genes, contributes to its regulation. Thus, it is possible that regulatory interactions with elements outside the deletion region are disrupted in the disease state and modulate the resulting spectrum of symptoms. COMT, a gene within the commonly deleted ~3 Mb region has been implicated as a contributor to the neurological features frequently found in 22q11DS patients. We used this locus as bait in a 4C-seq experiment to investigate genome-wide interaction profiles in B lymphocyte and fibroblast cell lines derived from both 22q11DS and unaffected individuals. All normal B lymphocyte lines displayed local, conserved chromatin looping interactions with regions that are lost in atypical and distal deletions, which may mediate similarities between typical, atypical, and distal 22q11 deletion phenotypes. There are also distinct clusterings of cis interactions based on disease state. We identified regions of differential trans interactions present in normal, and lost in deletion-carrying, B lymphocyte cell lines. This data suggests that hemizygous chromosomal deletions such as 22q11DS can have widespread effects on chromatin organization, and may contribute to the inherent phenotypic variability.
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Affiliation(s)
- Michael J Zeitz
- Veterans Affairs Palo Alto Health Care System; Stanford University Medical School; Palo Alto, CA USA; Department of Genome Sciences; University of Washington; Seattle, WA USA; Department of Genetics and Department of Developmental Biology; Stanford University Medical Center; Stanford, CA USA; Department of Computer Science and Engineering; University of Washington; Seattle, WA USA
| | - Paula P Lerner
- Veterans Affairs Palo Alto Health Care System; Stanford University Medical School; Palo Alto, CA USA
| | - Ferhat Ay
- Department of Genome Sciences; University of Washington; Seattle, WA USA
| | - Eric Van Nostrand
- Department of Genetics and Department of Developmental Biology; Stanford University Medical Center; Stanford, CA USA
| | - Julia D Heidmann
- Veterans Affairs Palo Alto Health Care System; Stanford University Medical School; Palo Alto, CA USA
| | - William S Noble
- Department of Genome Sciences; University of Washington; Seattle, WA USA; Department of Computer Science and Engineering; University of Washington; Seattle, WA USA
| | - Andrew R Hoffman
- Veterans Affairs Palo Alto Health Care System; Stanford University Medical School; Palo Alto, CA USA
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Squarcione C, Torti MC, Di Fabio F, Biondi M. 22q11 deletion syndrome: a review of the neuropsychiatric features and their neurobiological basis. Neuropsychiatr Dis Treat 2013; 9:1873-84. [PMID: 24353423 PMCID: PMC3862513 DOI: 10.2147/ndt.s52188] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
The 22q11.2 deletion syndrome (22q11DS) is caused by an autosomal dominant microdeletion of chromosome 22 at the long arm (q) 11.2 band. The 22q11DS is among the most clinically variable syndromes, with more than 180 features related with the deletion, and is associated with an increased risk of psychiatric disorders, accounting for up to 1%-2% of schizophrenia cases. In recent years, several genes located on chromosome 22q11 have been linked to schizophrenia, including those encoding catechol-O-methyltransferase and proline dehydrogenase, and the interaction between these and other candidate genes in the deleted region is an important area of research. It has been suggested that haploinsufficiency of some genes within the 22q11.2 region may contribute to the characteristic psychiatric phenotype and cognitive functioning of schizophrenia. Moreover, an extensive literature on neuroimaging shows reductions of the volumes of both gray and white matter, and these findings suggest that this reduction may be predictive of increased risk of prodromal psychotic symptoms in 22q11DS patients. Experimental and standardized cognitive assessments alongside neuroimaging may be important to identify one or more endophenotypes of schizophrenia, as well as a predictive prodrome that can be preventively treated during childhood and adolescence. In this review, we summarize recent data about the 22q11DS, in particular those addressing the neuropsychiatric and cognitive phenotypes associated with the deletion, underlining the recent advances in the studies about the genetic architecture of the syndrome.
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Affiliation(s)
- Chiara Squarcione
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Maria Chiara Torti
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Fabio Di Fabio
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Massimo Biondi
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
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