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Sun W, Wang Z, Wen S, Huang A, Li H, Jiang L, Feng Q, Fan D, Tian Q, Han D, Liu X. Technical strategy for monozygotic twin discrimination by single-nucleotide variants. Int J Legal Med 2024; 138:767-779. [PMID: 38197923 DOI: 10.1007/s00414-023-03150-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 12/11/2023] [Indexed: 01/11/2024]
Abstract
Monozygotic (MZ) twins are theoretically genetically identical. Although they are revealed to accumulate mutations after the zygote splits, discriminating between twin genomes remains a formidable challenge in the field of forensic genetics. Single-nucleotide variants (SNVs) are responsible for a substantial portion of genetic variation, thus potentially serving as promising biomarkers for the identification of MZ twins. In this study, we sequenced the whole genome of a pair of female MZ twins when they were 27 and 33 years old to approximately 30 × coverage using peripheral blood on an Illumina NovaSeq 6000 Sequencing System. Potentially discordant SNVs supported by whole-genome sequencing were validated extensively by amplicon-based targeted deep sequencing and Sanger sequencing. In total, we found nine bona fide post-twinning SNVs, all of which were identified in the younger genomes and found in the older genomes. None of the SNVs occurred within coding exons, three of which were observed in introns, supported by whole-exome sequencing results. A double-blind test was employed, and the reliability of MZ twin discrimination by discordant SNVs was endorsed. All SNVs were successfully detected when input DNA amounts decreased to 0.25 ng, and reliable detection was limited to seven SNVs below 0.075 ng input. This comprehensive analysis confirms that SNVs could serve as cost-effective biomarkers for MZ twin discrimination.
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Affiliation(s)
- Weifen Sun
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Ziwei Wang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
- Department of Forensic Science, Medical School of Soochow University, Suzhou, 215123, China
| | - Shubo Wen
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
- Department of Forensic Science, Medical School of Soochow University, Suzhou, 215123, China
| | - Ao Huang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
- Department of Forensic Science, Medical School of Soochow University, Suzhou, 215123, China
| | - Hui Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
| | - Lei Jiang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
| | - Qi Feng
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Danlin Fan
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Qilin Tian
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Dingding Han
- Department of Clinical Laboratory, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200062, China
| | - Xiling Liu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China.
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Kim JY, Lee HY, Lee SY, Kim SY, Park JL, Lee SD. DNA methylome profiling of blood to identify individuals in a pair of monozygotic twins. Genes Genomics 2023; 45:1273-1279. [PMID: 37198375 PMCID: PMC10504115 DOI: 10.1007/s13258-023-01396-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 04/30/2023] [Indexed: 05/19/2023]
Abstract
BACKGROUND Short tandem repeat (STR) markers cannot be used to distinguish between genetically identical monozygotic (MZ) twins, causing problems in a case with an MZ twin as a suspect. Many studies have shown that in older MZ twins, there are significant differences in overall content and genomic distribution of methylation. OBJECTIVE In this study, we analyzed the DNA methylome profile of blood to identify recurrent differentially methylated CpG sites (DMCs) to discriminate between MZ twins. METHODS Blood samples were collected from 47 paired MZ twins. We performed the DNA methylation profiling using the HumanMethylation EPIC BeadChip platform and identified recurrent DMCs between MZ twins. Then, Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and motif enrichment analyses were performed to reveal the biological functions of recurrent DMCs. We collected DNA methylome data from the Gene Expression Omnibus (GEO) public database to verify the recurrent DMCs between MZ twins. RESULTS We identified recurrent DMCs between MZ twin samples and observed that they were enriched in immune-related genes. In addition, we verified our DMCs in a public dataset. CONCLUSION Our results suggest that the methylation level at recurrent DMCs between MZ twins may serve as a valuable biomarker for identification of individuals in a pair of MZ twins.
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Affiliation(s)
- Jae-Yoon Kim
- Personalized Genomic Medicine Research Center, Korea Research Institute of Bioscience & Biotechnology, Daejeon, 34141, Korea
| | - Hwan Young Lee
- Department of Forensic Medicine, Seoul National University College of Medicine, Seoul, 03080, Korea
- Institute of Forensic and Anthropological Science, Seoul National University College of Medicine, Seoul, 03080, Korea
| | - So-Yeon Lee
- Graduate School of New Drug Discovery and Development, Chungnam National University, Daejeon, 34134, Korea
| | - Seon-Young Kim
- Personalized Genomic Medicine Research Center, Korea Research Institute of Bioscience & Biotechnology, Daejeon, 34141, Korea
| | - Jong-Lyul Park
- Personalized Genomic Medicine Research Center, Korea Research Institute of Bioscience & Biotechnology, Daejeon, 34141, Korea.
- Aging Convergence Research Center, Korea Research Institute of Bioscience & Biotechnology, Daejeon, 34141, Korea.
| | - Soong Deok Lee
- Department of Forensic Medicine, Seoul National University College of Medicine, Seoul, 03080, Korea.
- Institute of Forensic and Anthropological Science, Seoul National University College of Medicine, Seoul, 03080, Korea.
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Fu G, Ma G, Dou S, Wang Q, Fu L, Zhang X, Lu C, Cong B, Li S. Feature selection with a genetic algorithm can help improve the distinguishing power of microbiota information in monozygotic twins' identification. Front Microbiol 2023; 14:1210638. [PMID: 37555059 PMCID: PMC10406218 DOI: 10.3389/fmicb.2023.1210638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 07/06/2023] [Indexed: 08/10/2023] Open
Abstract
INTRODUCTION Personal identification of monozygotic twins (MZT) has been challenging in forensic genetics. Previous research has demonstrated that microbial markers have potential value due to their specificity and long-term stability. However, those studies would use the complete information of detected microbial communities, and low-value species would limit the performance of previous models. METHODS To address this issue, we collected 80 saliva samples from 10 pairs of MZTs at four different time points and used 16s rRNA V3-V4 region sequencing to obtain microbiota information. The data formed 280 inner-individual (Self) or MZT sample pairs, divided into four groups based on the individual relationship and time interval, and then randomly divided into training and testing sets with an 8:2 ratio. We built 12 identification models based on the time interval ( ≤ 1 year or ≥ 2 months), data basis (Amplicon sequence variants, ASVs or Operational taxonomic unit, OTUs), and distance parameter selection (Jaccard distance, Bray-Curist distance, or Hellinger distance) and then improved their identification power through genetic algorithm processes. The best combination of databases with distance parameters was selected as the final model for the two types of time intervals. Bayes theory was introduced to provide a numerical indicator of the evidence's effectiveness in practical cases. RESULTS From the 80 saliva samples, 369 OTUs and 1130 ASVs were detected. After the feature selection process, ASV-Jaccard distance models were selected as the final models for the two types of time intervals. For short interval samples, the final model can completely distinguish MZT pairs from Self ones in both training and test sets. DISCUSSION Our findings support the microbiota solution to the challenging MZT identification problem and highlight the importance of feature selection in improving model performance.
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Affiliation(s)
- Guangping Fu
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, China
| | - Guanju Ma
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, China
| | - Shujie Dou
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, China
| | - Qian Wang
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, China
| | - Lihong Fu
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, China
| | - Xiaojing Zhang
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, China
| | - Chaolong Lu
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, China
| | - Bin Cong
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, China
- Hainan Tropical Forensic Medicine Academician Workstation, Haikou, China
| | - Shujin Li
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, China
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Kuzmin E, Taylor JS, Boone C. Retention of duplicated genes in evolution. Trends Genet 2022; 38:59-72. [PMID: 34294428 PMCID: PMC8678172 DOI: 10.1016/j.tig.2021.06.016] [Citation(s) in RCA: 67] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/22/2021] [Accepted: 06/24/2021] [Indexed: 01/03/2023]
Abstract
Gene duplication is a prevalent phenomenon across the tree of life. The processes that lead to the retention of duplicated genes are not well understood. Functional genomics approaches in model organisms, such as yeast, provide useful tools to test the mechanisms underlying retention with functional redundancy and divergence of duplicated genes, including fates associated with neofunctionalization, subfunctionalization, back-up compensation, and dosage amplification. Duplicated genes may also be retained as a consequence of structural and functional entanglement. Advances in human gene editing have enabled the interrogation of duplicated genes in the human genome, providing new tools to evaluate the relative contributions of each of these factors to duplicate gene retention and the evolution of genome structure.
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Affiliation(s)
- Elena Kuzmin
- Department of Biochemistry, Rosalind and Morris Goodman Cancer Research Centre, McGill University, 1160 Ave des Pins Ouest, Montreal, QC, Canada H3A 1A3.
| | - John S Taylor
- Department of Biology, University of Victoria, PO Box 1700, Station CSC, Victoria, BC, Canada V8W 2Y2
| | - Charles Boone
- Department of Molecular Genetics, Donnelly Centre, University of Toronto, 160 College Street, Toronto, ON, Canada M5S 3E1; RIKEN Center for Sustainable Resource Science, 2-1 Hirosawa, Wako, Saitama, Japan, 351-0198
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5
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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: 38] [Impact Index Per Article: 19.0] [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.
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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
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6
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Bukowska-Olech E, Gawliński P, Jakubiuk-Tomaszuk A, Jędrzejowska M, Obersztyn E, Piechota M, Bielska M, Jamsheer A. Clinical and molecular characterization of craniofrontonasal syndrome: new symptoms and novel pathogenic variants in the EFNB1 gene. Orphanet J Rare Dis 2021; 16:286. [PMID: 34174922 PMCID: PMC8236199 DOI: 10.1186/s13023-021-01914-1] [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: 04/25/2021] [Accepted: 06/13/2021] [Indexed: 12/03/2022] Open
Abstract
Background Craniofrontonasal syndrome (CFNS) is a rare X-linked disorder that results from pathogenic variants in the EFNB1 gene. The syndrome paradoxically presents with greater severity of the symptoms in heterozygous females than hemizygous males. Results We have recruited and screened a female cohort affected with CFNS. Our primary finding was the description of monozygotic twins, i.e., patients 5 and 6, discordant for the CFNS phenotype. Intriguingly, patient 5 presented classical CFNS gestalt, whereas patient 6 manifested only very subtle craniofacial features, not resembling CFNS. Besides, we have expanded the mutational spectrum of the EFNB1 gene through reporting four novel pathogenic variants—p.(Trp12*), p.(Cys64Phe), p.(Tyr73Metfs*86), p.(Glu210*). All those alterations were found applying either targeted NGS of a custom gene panel or PCR followed by Sanger sequencing and evaluated using in silico predictors. Lastly, we have also expanded the CFNS phenotypic spectrum by describing in patient 3 several novel features of the syndrome, such as bifid hallux, bicornuate uterus, and abnormal right ovary segmented into six parts. Conclusions We have described the unreported so far differences of the clinical phenotype in the monozygotic twin patients 5 and 6 harboring an identical p.(Glu210*) variant located in the EFNB1 gene. With our finding, we have pointed to an unusual phenomenon of mildly affected females with CFNS, who may not manifest features suggestive of the syndrome. Consequently, this study may be valuable for geneticists consulting patients with craniofacial disorders. Supplementary Information The online version contains supplementary material available at 10.1186/s13023-021-01914-1.
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Affiliation(s)
- Ewelina Bukowska-Olech
- Department of Medical Genetics, Poznan University of Medical Sciences, Rokietnicka 8 Street, 60-806, Poznan, Poland.
| | - Paweł Gawliński
- Department of Medical Genetics, Institute of Mother and Child, Warsaw, Poland
| | - Anna Jakubiuk-Tomaszuk
- Department of Pediatric Neurology and Rehabilitation, Medical University of Bialystok, Bialystok, Poland.,Medical Genetics Unit, Mastermed Medical Center, Bialystok, Poland
| | - Maria Jędrzejowska
- Department of Medical Genetics, The Children's Memorial Health Institute, Warsaw, Poland
| | - Ewa Obersztyn
- Department of Medical Genetics, Institute of Mother and Child, Warsaw, Poland
| | | | - Marta Bielska
- Department of Pediatrics, Hematology, Oncology and Diabetology, Medical University of Lodz, Lodz, Poland
| | - Aleksander Jamsheer
- Department of Medical Genetics, Poznan University of Medical Sciences, Rokietnicka 8 Street, 60-806, Poznan, Poland. .,Centers for Medical Genetics GENESIS, Poznan, Poland.
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7
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Piégu B, Arensburger P, Beauclair L, Chabault M, Raynaud E, Coustham V, Brard S, Guizard S, Burlot T, Le Bihan-Duval E, Bigot Y. Variations in genome size between wild and domesticated lineages of fowls belonging to the Gallus gallus species. Genomics 2020; 112:1660-1673. [DOI: 10.1016/j.ygeno.2019.10.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 08/05/2019] [Accepted: 10/07/2019] [Indexed: 11/26/2022]
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8
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da Silva Francisco Junior R, Dos Santos Ferreira C, Santos E Silva JC, Terra Machado D, Côrtes Martins Y, Ramos V, Simões Carnivali G, Garcia AB, Medina-Acosta E. Pervasive Inter-Individual Variation in Allele-Specific Expression in Monozygotic Twins. Front Genet 2019; 10:1178. [PMID: 31850058 PMCID: PMC6887657 DOI: 10.3389/fgene.2019.01178] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 10/24/2019] [Indexed: 01/19/2023] Open
Abstract
Despite being developed from one zygote, heterokaryotypic monozygotic (MZ) co-twins exhibit discordant karyotypes. Epigenomic studies in biological samples from heterokaryotypic MZ co-twins are of the most significant value for assessing the effects on gene- and allele-specific expression of an extranumerary chromosomal copy or structural chromosomal disparities in otherwise nearly identical germline genetic contributions. Here, we use RNA-Seq data from existing repositories to establish within-pair correlations for the breadth and magnitude of allele-specific expression (ASE) in heterokaryotypic MZ co-twins discordant for trisomy 21 and maternal 21q inheritance, as well as homokaryotypic co-twins. We show that there is a genome-wide disparity at ASE sites between the heterokaryotypic MZ co-twins. Although most of the disparity corresponds to changes in the magnitude of biallelic imbalance, ASE sites switching from either strictly monoallelic to biallelic imbalance or the reverse occur in few genes that are known or predicted to be imprinted, subject to X-chromosome inactivation or A-to-I(G) RNA edited. We also uncovered comparable ASE differences between homokaryotypic MZ twins. The extent of ASE discordance in MZ twins (2.7%) was about 10-fold lower than the expected between pairs of unrelated, non-twin males or females. The results indicate that the observed within-pair dissimilarities in breadth and magnitude of ASE sites in the heterokaryotypic MZ co-twins could not solely be attributable to the aneuploidy and the missing allelic heritability at 21q.
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Affiliation(s)
| | - Cristina Dos Santos Ferreira
- Laboratório de Biotecnologia, Núcleo de Diagnóstico e Investigação Molecular, Universidade Estadual do Norte Fluminense, Campos dos Goytacazes, Brazil
| | - Juan Carlo Santos E Silva
- Laboratório de Biotecnologia, Núcleo de Diagnóstico e Investigação Molecular, Universidade Estadual do Norte Fluminense, Campos dos Goytacazes, Brazil
| | - Douglas Terra Machado
- Laboratório de Biotecnologia, Núcleo de Diagnóstico e Investigação Molecular, Universidade Estadual do Norte Fluminense, Campos dos Goytacazes, Brazil
| | - Yasmmin Côrtes Martins
- Laboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Brazil
| | - Victor Ramos
- Department of Genetics, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil
| | - Gustavo Simões Carnivali
- Department of Computational Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Ana Beatriz Garcia
- Laboratório de Biotecnologia, Núcleo de Diagnóstico e Investigação Molecular, Universidade Estadual do Norte Fluminense, Campos dos Goytacazes, Brazil
| | - Enrique Medina-Acosta
- Laboratório de Biotecnologia, Núcleo de Diagnóstico e Investigação Molecular, Universidade Estadual do Norte Fluminense, Campos dos Goytacazes, Brazil
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9
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Saffari A, Arno M, Nasser E, Ronald A, Wong CCY, Schalkwyk LC, Mill J, Dudbridge F, Meaburn EL. RNA sequencing of identical twins discordant for autism reveals blood-based signatures implicating immune and transcriptional dysregulation. Mol Autism 2019; 10:38. [PMID: 31719968 PMCID: PMC6839145 DOI: 10.1186/s13229-019-0285-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 09/01/2019] [Indexed: 11/13/2022] Open
Abstract
Background A gap exists in our mechanistic understanding of how genetic and environmental risk factors converge at the molecular level to result in the emergence of autism symptoms. We compared blood-based gene expression signatures in identical twins concordant and discordant for autism spectrum condition (ASC) to differentiate genetic and environmentally driven transcription differences, and establish convergent evidence for biological mechanisms involved in ASC. Methods Genome-wide gene expression data were generated using RNA-seq on whole blood samples taken from 16 pairs of monozygotic (MZ) twins and seven twin pair members (39 individuals in total), who had been assessed for ASC and autism traits at age 12. Differential expression (DE) analyses were performed between (a) affected and unaffected subjects (N = 36) and (b) within discordant ASC MZ twin pairs (total N = 11) to identify environmental-driven DE. Gene set enrichment and pathway testing was performed on DE gene lists. Finally, an integrative analysis using DNA methylation data aimed to identify genes with consistent evidence for altered regulation in cis. Results In the discordant twin analysis, three genes showed evidence for DE at FDR < 10%: IGHG4, EVI2A and SNORD15B. In the case-control analysis, four DE genes were identified at FDR < 10% including IGHG4, PRR13P5, DEPDC1B, and ZNF501. We find enrichment for DE of genes curated in the SFARI human gene database. Pathways showing evidence of enrichment included those related to immune cell signalling and immune response, transcriptional control and cell cycle/proliferation. Integrative methylomic and transcriptomic analysis identified a number of genes showing suggestive evidence for cis dysregulation. Limitations Identical twins stably discordant for ASC are rare, and as such the sample size was limited and constrained to the use of peripheral blood tissue for transcriptomic and methylomic profiling. Given these primary limitations, we focused on transcript-level analysis. Conclusions Using a cohort of ASC discordant and concordant MZ twins, we add to the growing body of transcriptomic-based evidence for an immune-based component in the molecular aetiology of ASC. Whilst the sample size was limited, the study demonstrates the utility of the discordant MZ twin design combined with multi-omics integration for maximising the potential to identify disease-associated molecular signals.
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Affiliation(s)
- Ayden Saffari
- 1Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
- 2Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - Matt Arno
- 3Edinburgh Genomics, University of Edinburgh, Edinburgh, Scotland UK
- 4King's Genomics Centre, King's College London, London, UK
| | - Eric Nasser
- 4King's Genomics Centre, King's College London, London, UK
| | - Angelica Ronald
- 2Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - Chloe C Y Wong
- 5Social Genetic and Developmental Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | | | - Jonathan Mill
- 7University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Frank Dudbridge
- 1Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
- 8Department of Health Sciences, University of Leicester, Leicester, UK
| | - Emma L Meaburn
- 2Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
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10
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Zhang X, Abdellaoui A, Rucker J, de Jong S, Potash JB, Weissman MM, Shi J, Knowles JA, Pato C, Pato M, Sobell J, Smit JH, Hottenga JJ, de Geus EJ, Lewis CM, Buttenschøn HN, Craddock N, Jones I, Jones L, McGuffin P, Mors O, Owen MJ, Preisig M, Rietschel M, Rice JP, Rivera M, Uher R, Gejman PV, Sanders AR, Boomsma D, Penninx BWJH, Breen G, Levinson DF. Genome-wide Burden of Rare Short Deletions Is Enriched in Major Depressive Disorder in Four Cohorts. Biol Psychiatry 2019; 85:1065-1073. [PMID: 31003785 PMCID: PMC6750266 DOI: 10.1016/j.biopsych.2019.02.022] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 01/29/2019] [Accepted: 02/19/2019] [Indexed: 12/28/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is moderately heritable, with a high prevalence and a presumed high heterogeneity. Copy number variants (CNVs) could contribute to the heritable component of risk, but the two previous genome-wide association studies of rare CNVs did not report significant findings. METHODS In this meta-analysis of four cohorts (5780 patients and 6626 control subjects), we analyzed the association of MDD to 1) genome-wide burden of rare deletions and duplications, partitioned by length (<100 kb or >100 kb) and other characteristics, and 2) individual rare exonic CNVs and CNV regions. RESULTS Patients with MDD carried significantly more short deletions than control subjects (p = .0059) but not long deletions or short or long duplications. The confidence interval for long deletions overlapped with that for short deletions, but long deletions were 70% less frequent genome-wide, reducing the power to detect increased burden. The increased burden of short deletions was primarily in intergenic regions. Short deletions in cases were also modestly enriched for high-confidence enhancer regions. No individual CNV achieved thresholds for suggestive or significant association after genome-wide correction. p values < .01 were observed for 15q11.2 duplications (TUBGCP5, CYFIP1, NIPA1, and NIPA2), deletions in or near PRKN or MSR1, and exonic duplications of ATG5. CONCLUSIONS The increased burden of short deletions in patients with MDD suggests that rare CNVs increase the risk of MDD by disrupting regulatory regions. Results for longer deletions were less clear, but no large effects were observed for long multigenic CNVs (as seen in schizophrenia and autism). Further studies with larger sample sizes are warranted.
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Affiliation(s)
- Xianglong Zhang
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, USA.,Department of Genetics, Stanford University School of Medicine, USA
| | - Abdel Abdellaoui
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, the Netherlands.,Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - James Rucker
- The Institute of Psychiatry, King’s College London, UK
| | | | - James B. Potash
- Department of Psychiatry, Johns Hopkins University School of Medicine, USA
| | - Myrna M. Weissman
- Department of Psychiatry, Columbia University, and New York State Psychiatric Institute, USA
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, Biostatistics Branch, National Cancer Institute, USA
| | - James A. Knowles
- Department of Cell Biology, Downstate Medical Center College of Medicine, USA
| | - Carlos Pato
- Downstate Medical Center College of Medicine, USA
| | - Michele Pato
- Department of Psychiatry, Downstate Medical Center College of Medicine, USA
| | - Janet Sobell
- Department of Psychiatry and Behavioral Sciences, University of Southern California, USA
| | - Johannes H. Smit
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health and GGz inGeest, Amsterdam, the Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, the Netherlands
| | - Eco J.C. de Geus
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, the Netherlands
| | - Cathryn M Lewis
- MRC Social Genetic and Developmental Psychiatry Centre, King’s College London, London, UK.,Department of Medical & Molecular Genetics, King’s College London, London, UK
| | - Henriette N Buttenschøn
- Department of Clinical Medicine, Translational Neuropsychiatry Unit, Aarhus University, Aarhus, DK.,iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, DK
| | - Nick Craddock
- Department of Psychological Medicine, Cardiff University, Cardiff, UK
| | - Ian Jones
- Department of Psychological Medicine, Cardiff University, Cardiff, UK
| | - Lisa Jones
- Institute of Health and Society, University of Worcester, Worcester, UK
| | - Peter McGuffin
- MRC Social Genetic and Developmental Psychiatry Centre, King’s College London, London, UK
| | - Ole Mors
- Psychosis Research Unit, Aarhus University Hospital, Risskov, Aarhus, DK
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Martin Preisig
- Department of Psychiatry, University Hospital of Lausanne, Prilly, Switzerland
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
| | - John P Rice
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, USA
| | - Margarita Rivera
- MRC Social Genetic and Developmental Psychiatry Centre, King’s College London, London, UK.,Department of Biochemistry and Molecular Biology II, Institute of Neurosciences, Center for Biomedical Research, University of Granada, Granada
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Pablo V. Gejman
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Chicago, USA.,Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, USA
| | - Alan R. Sanders
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Chicago, USA.,Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, USA
| | - Dorret Boomsma
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, the Netherlands
| | - Brenda W. J. H. Penninx
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health and GGz inGeest, Amsterdam, the Netherlands
| | - Gerome Breen
- MRC Social Genetic and Developmental Psychiatry Centre, King’s College London, London, UK.,NIHR BRC for Mental Health, King’s College London, London, UK
| | - Douglas F. Levinson
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, USA
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11
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Xiao C, Pan C, Liu E, He H, Liu C, Huang Y, Yi S, Huang D. Differences of microRNA expression profiles between monozygotic twins' blood samples. Forensic Sci Int Genet 2019; 41:152-158. [PMID: 31132533 DOI: 10.1016/j.fsigen.2019.05.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 05/14/2019] [Accepted: 05/16/2019] [Indexed: 12/14/2022]
Abstract
Monozygotic (MZ) twins are widely regarded as genetically identical, and traditional DNA typing methods are insufficient in identifying MZ twins. So the discrimination of MZ twins become a forensic problem. MicroRNAs (miRNAs) are a class of small, endogenous, non-protein-coding RNA molecules of approximately 22 nucleotides in length, and exist extensively in a variety of eukaryotic cells. MiRNAs regulate gene expression and play fundamental roles in multiple biological processes, including cell differentiation, proliferation and apoptosis as well as aging and disease processes. The goal of this study is to explore the differential expression of miRNAs within MZ twin pairs, and aimed to find new biomarkers for distinguishing MZ twins. Thus, the miRNA expression profiles of seven pairs of healthy MZ twins of different sex and age were analyzed by miRNA microarray. A total of 545 miRNAs were found to be differentially expressed in these MZ twin pairs, and 2, 5, 22, 53 and 132 differentially expressed miRNAs were shared across six, five, four, three and two pairs of MZ twins respectively. These findings had been confirmed by real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) assays on select miRNAs, including miR-151a-3p, miR-3653-3p, miR-142-3p, miR-4325, miR-16-5p, let-7i-5p, miR-222-3p, miR-550b-3p, miR-4791 and miR-27a-3p. The results demonstrated that there are differences in the expression of miRNAs within MZ twin pairs, suggesting a role of miRNAs in identifying MZ twins.
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Affiliation(s)
- Chao Xiao
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Chao Pan
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Erliang Liu
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China; Tianjin Municipal Public Security Bureau Wuqing Branch, Tianjin, PR China
| | - Huayu He
- Xiaogan Municipal Public Security Bureau, Xiaogan, PR China
| | - Chunfeng Liu
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Yujie Huang
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Shaohua Yi
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Daixin Huang
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
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12
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Barnes‐Davis ME, Cortezzo DE. Two cases of atypical twinning: Phenotypically discordant monozygotic and conjoined twins. Clin Case Rep 2019; 7:920-925. [PMID: 31110715 PMCID: PMC6509934 DOI: 10.1002/ccr3.2113] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 03/01/2019] [Accepted: 03/03/2019] [Indexed: 12/13/2022] Open
Abstract
Atypical twinning highlights that complex mechanisms responsible for twinning are not fully understood and may give further insight into the mechanisms involved. To assume that phenotypic difference is the result of dizygotic twinning would be erroneous and could have significant implications in the care and counseling provided to these patients.
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Affiliation(s)
- Maria E. Barnes‐Davis
- Department of PediatricsUniversity of Cincinnati College of MedicineCincinnatiOhio
- Division of Neonatal and Pulmonary BiologyCincinnati Children’s Hospital Medical CenterCincinnatiOhio
| | - DonnaMaria E. Cortezzo
- Department of PediatricsUniversity of Cincinnati College of MedicineCincinnatiOhio
- Division of Neonatal and Pulmonary BiologyCincinnati Children’s Hospital Medical CenterCincinnatiOhio
- Department of AnesthesiologyUniversity of Cincinnati College of MedicineCincinnatiOhio
- Division of Pain and Palliative MedicineCincinnati Children’s Hospital Medical CenterCincinnatiOhio
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13
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Copy Number Variants and Exome Sequencing Analysis in Six Pairs of Chinese Monozygotic Twins Discordant for Congenital Heart Disease. Twin Res Hum Genet 2018; 20:521-532. [PMID: 29192580 PMCID: PMC5729853 DOI: 10.1017/thg.2017.57] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Congenital heart disease (CHD) is one of the most common birth defects. More than 200 susceptibility loci have been identified for CHDs, yet a large part of the genetic risk factors remain unexplained. Monozygotic (MZ) twins are thought to be completely genetically identical; however, discordant phenotypes have been found in MZ twins. Recent studies have demonstrated genetic differences between MZ twins. We aimed to test whether copy number variants (CNVs) and/or genetic mutation differences play a role in the etiology of CHDs by using single nucleotide polymorphism (SNP) genotyping arrays and whole exome sequencing of twin pairs discordant for CHDs. Our goal was to identify mutations present only in the affected twins, which could identify novel candidates for CHD susceptibility loci. We present a comprehensive analysis for the CNVs and genetic mutation results of the selected individuals but detected no consistent differences within the twin pairs. Our study confirms that chromosomal structure or genetic mutation differences do not seem to play a role in the MZ twins discordant for CHD.
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14
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Copy Number Variation Analysis of 100 Twin Pairs Enriched for Neurodevelopmental Disorders. Twin Res Hum Genet 2018; 21:1-11. [DOI: 10.1017/thg.2017.69] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Hundreds of penetrant risk loci have been identified across different neurodevelopmental disorders (NDDs), and these often involve rare (<1% frequency) copy number variations (CNVs), which can involve one or more genes. Monozygotic (MZ) twin pairs are long thought to share 100% of their genomic information. However, genetic differences in the form of postzygotic somatic variants have been reported recently both in typically developing (TD) and in clinically discordant MZ pairs. We sought to investigate the contribution of rare CNVs in 100 twin pairs enriched for NDD phenotypes with a particular focus on postzygotic CNVs in MZ pairs discordant for autism spectrum disorder (ASD) using the Illumina Infinium PsychArray. In our sample, no postzygotic de novo CNVs were found in 55 MZ twin pairs, including the 13 pairs discordant for ASD. We did detect a higher rate of CNVs overlapping genes involved in disorders of the nervous system, such as a rare deletion affecting HNRNPU, in MZ pairs discordant and concordant for ASD in comparison with TD pairs (p = .02). Our results are in concordance with earlier findings that postzygotic de novo CNV events are typically rare in genomic DNA derived from saliva or blood, and suggests that the discordance of NDDs in our sample of twins is not explained by discordant CNVs. Still, studies investigating postzygotic variation in MZ discordant twins using DNA from different tissues and single cells and higher resolution genomics are needed in the future.
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15
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Liu X, Zhao Z, Xu Q, Wang Z, Bian Y, Zhang S, Li C. Genome-wide copy number variation analysis in monozygotic twins. FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES 2017. [DOI: 10.1016/j.fsigss.2017.09.075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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16
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Vidaki A, Díez López C, Carnero-Montoro E, Ralf A, Ward K, Spector T, Bell JT, Kayser M. Epigenetic discrimination of identical twins from blood under the forensic scenario. Forensic Sci Int Genet 2017; 31:67-80. [DOI: 10.1016/j.fsigen.2017.07.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 07/15/2017] [Accepted: 07/28/2017] [Indexed: 12/11/2022]
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17
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Abstract
The Avera Twin Register (ATR) aims to study environmental and genetic influences on health and disease using a longitudinal repository of biological specimens, survey data, and health information provided by multiples and their family members. The ATR is located in Sioux Falls, South Dakota, which is a rural and frontier area in the Midwestern United States with a density of four people per square kilometer. The target area of the ATR is South Dakota and the four surrounding states: Minnesota, Iowa, North Dakota, and Nebraska. Enrollment of twins and higher-order multiples of all ages and their family members started on May 18, 2016. A description of the first 13 months of enrollment in this longitudinal register will be provided. The ATR will collect longitudinal data on lifestyle, including diet and activity levels, aging, complex traits, and diseases. Upon registration, all participants are genotyped on the Illumina Global Screening Array (GSA) and twins and higher order multiples receive information on their zygosity. The ATR aims to contribute to large international GWAS consortia and collaborates closely with the Netherlands Twin Register, allowing for the comparison of collected data and analyses of results. In addition, the ATR will address twin-specific questions.
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18
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Oluwole OA, Revay T, Mahboubi K, Favetta LA, King WA. Somatic Mosaicism in Bulls Estimated from Genome-Wide CNV Array and TSPY Gene Copy Numbers. Cytogenet Genome Res 2016; 149:176-181. [DOI: 10.1159/000448368] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/28/2016] [Indexed: 11/19/2022] Open
Abstract
Somatic mosaicism has become a focus in human research due to the implications of individual genetic variability in disease. Here, we assessed somatic copy number variations (CNVs) in Holstein bulls in 2 respects. We estimated genome-wide CNVs and assayed CNVs of the TSPY gene, the most variable bovine gene from the Y chromosome. Somatic tissues (blood, lung, heart, muscle, testis, and brain) of 4 bulls were arrayed on the Illumina Bovine SNP50k chip and qPCR tested for TSPY copy numbers. Our results showed extensive copy number divergence in tissues within the same animal as well as significant copy number alterations of TSPY. We detected a mean of 31 CNVs per animal among which 14 were of germline origin, as they were constantly present in all investigated tissues of the animal, while 18 were specific to 1 tissue. Thus, 57% of the total number of detected CNVs was the result of de novo somatic events. Further, TSPY copy number was found to vary significantly among tissues as well as among the same tissue type from different animals in a wide range from 7 to 224% of the calibrator. Our study shows significant autosomal and Y-chromosomal de novo somatic CNV in bulls.
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19
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Somatically acquired structural genetic differences: a longitudinal study of elderly Danish twins. Eur J Hum Genet 2016; 24:1506-10. [PMID: 27094753 DOI: 10.1038/ejhg.2016.34] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Revised: 02/26/2016] [Accepted: 03/18/2016] [Indexed: 11/08/2022] Open
Abstract
Structural genetic variants like copy number variants (CNVs) comprise a large part of human genetic variation and may be inherited as well as somatically acquired. Recent studies have reported the presence of somatically acquired structural variants in the human genome and it has been suggested that they may accumulate in elderly individuals. To further explore the presence and the age-related acquisition of somatic structural variants in the human genome, we investigated CNVs acquired over a period of 10 years in 86 elderly Danish twins as well as CNV discordances between co-twins of 18 monozygotic twin pairs. Furthermore, the presence of mosaic structural variants was explored. We identified four mosaic acquired uniparental disomy events on chromosome 4q and 14q in the follow-up samples from four individuals, and our study thereby supports the increasing prevalence of somatic mosaic variants with age.
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20
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One CNV Discordance in NRXN1 Observed Upon Genome-wide Screening in 38 Pairs of Adult Healthy Monozygotic Twins. Twin Res Hum Genet 2016; 19:97-103. [DOI: 10.1017/thg.2016.5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Monozygotic (MZ) twins stem from the same single fertilized egg and therefore share all their inherited genetic variation. This is one of the unequivocal facts on which genetic epidemiology and twin studies are based. To what extent this also implies that MZ twins share genotypes in adult tissues is not precisely established, but a common pragmatic assumption is that MZ twins are 100% genetically identical also in adult tissues. During the past decade, this view has been challenged by several reports, with observations of differences in post-zygotic copy number variations (CNVs) between members of the same MZ pair. In this study, we performed a systematic search for differences of CNVs within 38 adult MZ pairs who had been misclassified as dizygotic (DZ) twins by questionnaire-based assessment. Initial scoring by PennCNV suggested a total of 967 CNV discordances. The within-pair correlation in number of CNVs detected was strongly dependent on confidence score filtering and reached a plateau of r = 0.8 when restricting to CNVs detected with confidence score larger than 50. The top-ranked discordances were subsequently selected for validation by quantitative polymerase chain reaction (qPCR), from which one single ~120kb deletion in NRXN1 on chromosome 2 (bp 51017111–51136802) was validated. Despite involving an exon, no sign of cognitive/mental consequences was apparent in the affected twin pair, potentially reflecting limited or lack of expression of the transcripts containing this exon in nerve/brain.
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21
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McNamara HC, Kane SC, Craig JM, Short RV, Umstad MP. A review of the mechanisms and evidence for typical and atypical twinning. Am J Obstet Gynecol 2016; 214:172-191. [PMID: 26548710 DOI: 10.1016/j.ajog.2015.10.930] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Revised: 10/28/2015] [Accepted: 10/29/2015] [Indexed: 12/11/2022]
Abstract
The mechanisms responsible for twinning and disorders of twin gestations have been the subject of considerable interest by physicians and scientists, and cases of atypical twinning have called for a reexamination of the fundamental theories invoked to explain twin gestations. This article presents a review of the literature focusing on twinning and atypical twinning with an emphasis on the phenomena of chimeric twins, phenotypically discordant monozygotic twins, mirror-image twins, polar body twins, complete hydatidiform mole with a coexistent twin, vanishing twins, fetus papyraceus, fetus in fetu, superfetation, and superfecundation. The traditional models attributing monozygotic twinning to a fission event, and more recent models describing monozygotic twinning as a fusion event, are critically reviewed. Ethical restrictions on scientific experimentation with human embryos and the rarity of cases of atypical twinning have limited opportunities to elucidate the exact mechanisms by which these phenomena occur. Refinements in the modeling of early embryonic development in twin pregnancies may have significant clinical implications. The article includes a series of figures to illustrate the phenomena described.
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Affiliation(s)
- Helen C McNamara
- Department of Maternal-Fetal Medicine, Royal Womens Hospital, Melbourne, Victoria, Australia
| | - Stefan C Kane
- Department of Maternal-Fetal Medicine, Royal Womens Hospital, Melbourne, Victoria, Australia; Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Victoria, Australia
| | - Jeffrey M Craig
- Murdoch Childrens Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Roger V Short
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Mark P Umstad
- Department of Maternal-Fetal Medicine, Royal Womens Hospital, Melbourne, Victoria, Australia; Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Victoria, Australia.
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22
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Abstract
By definition, monozygotic (MZ) twins carry an identical set of genetic information. The observation of early post-twinning mutational events was shown to cause phenotypic discordance among MZ twin pairs. These mutational events comprise genomic alterations at different scales, ranging from single nucleotide changes to larger copy-number variations (CNVs) of varying sizes, as well as epigenetic changes. Here, we performed whole-exome sequencing (WES) in nine discordant MZ twins to identify somatic mutational events in the affected twin that might exert a dominant negative effect. Five of these MZ twin pairs were discordant for congenital heart defects (CHD), two for endocrine disorders, one for omphalocele, and one for congenital diaphragmatic hernia (CDH). Analysis of WES data from all nine MZ twin pairs using the de novo probability tool DeNovoGear detected only one apparent de novo variation in TMPRSS13 in one of the CHD-affected twins. Analysis of WES data from all nine MZ twin pairs by using standard filter criteria without the de novo probability tool DeNovoGear revealed a total of 6,657 variations in which both the twin pairs differed. After filtering for variations only present in the affected twins and absent in in-house controls, 722 variations remained. Visual inspection for read quality decreased this number to 12, present only in the affected twin. However, Sanger sequencing of the overall 13 variations failed to confirm the variation in the affected twin. These results suggest that somatic mutational events in coding regions do not seem to play a major role in the phenotypic expression of MZ discordant twin pairs.
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Somatic mosaicism for copy-neutral loss of heterozygosity and DNA copy number variations in the human genome. BMC Genomics 2015; 16:703. [PMID: 26376747 PMCID: PMC4573927 DOI: 10.1186/s12864-015-1916-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2015] [Accepted: 09/09/2015] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Somatic mosaicism denotes the presence of genetically distinct populations of somatic cells in one individual who has developed from a single fertilised oocyte. Mosaicism may result from a mutation that occurs during postzygotic development and is propagated to only a subset of the adult cells. Our aim was to investigate both somatic mosaicism for copy-neutral loss of heterozygosity (cn-LOH) events and DNA copy number variations (CNVs) in fully differentiated tissues. RESULTS We studied panels of tissue samples (11-12 tissues per individual) from four autopsy subjects using high-resolution Illumina HumanOmniExpress-12 BeadChips to reveal the presence of possible intra-individual tissue-specific cn-LOH and CNV patterns. We detected five mosaic cn-LOH regions >5 Mb in some tissue samples in three out of four individuals. We also detected three CNVs that affected only a portion of the tissues studied in one out of four individuals. These three somatic CNVs range from 123 to 796 kb and are also found in the general population. An attempt was made to explain the succession of genomic events that led to the observed somatic genetic mosaicism under the assumption that the specific mosaic patterns of CNV and cn-LOH changes reflect their formation during the postzygotic embryonic development of germinal layers and organ systems. CONCLUSIONS Our results give further support to the idea that somatic mosaicism for CNVs, and also cn-LOHs, is a common phenomenon in phenotypically normal humans. Thus, the examination of only a single tissue might not provide enough information to diagnose potentially deleterious CNVs within an individual. During routine CNV and cn-LOH analysis, DNA derived from a buccal swab can be used in addition to blood DNA to get information about the CNV/cn-LOH content in tissues of both mesodermal and ectodermal origin. Currently, the real frequency and possible phenotypic consequences of both CNVs and cn-LOHs that display somatic mosaicism remain largely unknown. To answer these questions, future studies should involve larger cohorts of individuals and a range of tissues.
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24
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Abstract
Discriminating individuals within a pair of monozygotic (MZ) twins using genetic markers remains unresolved. This inability causes problems in criminal or paternity cases involving MZ twins as suspects or alleged fathers. Our previous study showed DNA methylation differences in interspersed repeat sequences such as Alu and LINE-1 within pairs of newborn MZ twins. To further evaluate the possible value of LINE-1 DNA methylation for discriminating MZ twins, this study investigated the LINE-1 DNA methylation of a large number of twins. We collected blood samples and buccal cell samples from 119 pairs of MZ and 57 pairs of dizygotic (DZ) twins. Genomic DNA was extracted and LINE-1 methylation level was detected using bisulfite pyrosequencing. The mean methylation level of the three CpG sites in the blood sample among the 176 unrelated individuals was 76.60% and 70.08% in buccal samples. This difference was significant, indicating the tissue specificity of LINE-1 DNA methylation. Among 119 pairs of MZ twins, 15 pairs could be discriminated according to the difference of CpG methylation level between them, which accounted for 12.61% of total number of MZ pairs. As for DZ twins, 10 pairs had significant differences between two individuals, which accounted for 17.54% of the total 57 DZ pairs. In conclusion, there are global DNA methylation differences within some healthy concordant monozygotic (MZ) twin pairs. LINE-1 DNA methylation might be a potential marker for helping to discriminate individuals within MZ twin pairs, and the tissue specificity must be considered in practice.
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