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Wang Y, Sams EI, Slaugh R, Crocker S, Hurtado EC, Tracy S, Hou YCC, Markovic C, Valle K, Tate V, Belhassan K, Appelbaum E, Akinwe T, Tzovenos RS, Cao Y, Neilson A, Liu Y, Jensen N, Ghasemi R, Lindsay T, Manuel J, Couteranis S, Kremitzki M, Ustanik J, Antonacci T, Ng JK, Emory A, Metz L, DeLuca T, Lyons KN, Sinnwell T, Thomeczek B, Wang K, Sisneros N, Muraleedharan M, Kethireddy A, Corbo M, Gowda H, King K, Gurnett CA, Dutcher SK, Gooch C, Li YE, Mitchell MW, Peterson KA, Horani A, Rosenfeld JA, Bi W, Stankiewicz P, Chao HT, Posey J, Grochowski CM, Dardas Z, Puffenberger E, Pearson CE, Kooy F, Annear D, Innes AM, Heinz M, Head R, Fulton R, Toutain S, Antonacci-Fulton L, Cui X, Mitra RD, Cole FS, Neidich J, Dickson PI, Milbrandt J, Turner TN. Whole-Genome Sequencing Reveals Individual and Cohort Level Insights into Chromosome 9p Syndromes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.03.28.25324850. [PMID: 40196253 PMCID: PMC11974940 DOI: 10.1101/2025.03.28.25324850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/09/2025]
Abstract
Previous genomic efforts on chromosome 9p deletion and duplication syndromes have utilized low resolution strategies (i.e., karyotypes, chromosome microarrays). We present the first large-scale whole-genome sequencing (WGS) study of 100 individuals from families with 9p-related syndromes including 85 unrelated probands through the 9P-ARCH (Advanced Research in Chromosomal Health: Genomic, Phenotypic, and Functional Aspects of 9p-Related syndromes) research network. We analyzed the genomic architecture of these syndromes, highlighting fundamental features and their commonalities and differences across individuals. This work includes a machine-learning model that predicts 9p deletion syndrome from gene copy number estimates using WGS data. Two Late Replicating Regions (LRR1 [a previously un-named human fragile site], LRR2) were identified that contain most structural variant breakpoints in 9p deletion syndrome pointing to replication-based issues in structural variant formation. Furthermore, we show the utility of using WGS information to obtain a comprehensive understanding of 9p-related variation in an individual with complex structural variation where chromothripsis is the likely mechanism. Genes on 9p were prioritized based on statistical assessment of human genomic variation. Furthermore, through application of spatial transcriptomics to embryonic mouse tissue we examined 9p-gene expression in craniofacial and brain development. Through these strategies, we identified 24 important genes for the majority (83%) of individuals with 9p deletion syndrome including AK3, BRD10, CD274, CDC37L1, DMRT1, DMRT2, DMRT3, DOCK8, GLIS3, JAK2, KANK1, KDM4C, PLPP6, PTPRD, PUM3, RANBP6, RCL1, RFX3, RIC1, SLC1A1, SMARCA2, UHRF2, VLDLR, and ZNG1A. Two genes (AK3, ZNG1A) are involved in mitochondrial function and testing of the mitochondrial genome revealed excess copy number in individuals with 9p deletion syndrome. This study presents the most comprehensive genomic analysis of 9p-related syndromes to date, with plans for further expansion through our 9P-ARCH research network.
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Affiliation(s)
- Yingxi Wang
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Eleanor I. Sams
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Rachel Slaugh
- Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Sandra Crocker
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Emily Cordova Hurtado
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Sophia Tracy
- Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ying-Chen Claire Hou
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Christopher Markovic
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Kostandin Valle
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Victoria Tate
- Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Khadija Belhassan
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Elizabeth Appelbaum
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Titilope Akinwe
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
- Washington University Pain Center, Dept. of Anesthesiology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Rodrigo Starosta Tzovenos
- Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Yang Cao
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Amber Neilson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Yu Liu
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Nathaniel Jensen
- Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Reza Ghasemi
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Tina Lindsay
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Juana Manuel
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Sophia Couteranis
- Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Milinn Kremitzki
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jack Ustanik
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Thomas Antonacci
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jeffrey K. Ng
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Andrew Emory
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Laura Metz
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Tracie DeLuca
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Katherine N. Lyons
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Toni Sinnwell
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Brianne Thomeczek
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | | | | | | | | | - Marco Corbo
- Medgenome Laboratory, Foster City, CA 94404, USA
| | - Harsha Gowda
- Medgenome Laboratory, Foster City, CA 94404, USA
| | - Katherine King
- Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Christina A. Gurnett
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Susan K. Dutcher
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Catherine Gooch
- Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Yang E. Li
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Neurosugery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | | | | | - Amjad Horani
- Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jill A. Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Baylor Genetics Laboratory, Baylor College of Medicine, Houston, TX 77030, USA
| | - Weimin Bi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Baylor Genetics Laboratory, Baylor College of Medicine, Houston, TX 77030, USA
| | - Pawel Stankiewicz
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Hsiao-Tuan Chao
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jennifer Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Christopher M. Grochowski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zain Dardas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | | | | | - Frank Kooy
- Department of Medical Genetics, University of Antwerp, Edegem, Belgium
| | - Dale Annear
- Department of Medical Genetics, University of Antwerp, Edegem, Belgium
| | - A. Micheil Innes
- Departments of Medical Genetics and Pediatrics, Alberta Children’s Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Michael Heinz
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Richard Head
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Robert Fulton
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | | | - 9P-ARCH
- 9P-ARCH Research Network - Advanced Research in Chromosomal Health: Genomic, Phenotypic, and Functional Aspects of 9p-Related syndromes
| | | | - Xiaoxia Cui
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Robi D. Mitra
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - F. Sessions Cole
- Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Julie Neidich
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Patricia I. Dickson
- Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jeffrey Milbrandt
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
- Needleman Center for Neurometabolism and Axonal Therapeutics, St. Louis, MO, USA
| | - Tychele N. Turner
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
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Awuah WA, Shah MH, Sanker V, Mannan KM, Ranganathan S, Nkrumah-Boateng PA, Frimpong M, Darko K, Tan JK, Abdul-Rahman T, Atallah O. Advances in chromosomal microarray analysis: Transforming neurology and neurosurgery. BRAIN & SPINE 2025; 5:104197. [PMID: 39990116 PMCID: PMC11847126 DOI: 10.1016/j.bas.2025.104197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2024] [Revised: 01/20/2025] [Accepted: 01/22/2025] [Indexed: 02/25/2025]
Abstract
Over the past two decades, genomics has transformed our understanding of various clinical conditions, with Chromosomal Microarray Analysis (CMA) standing out as a key technique. Offering unparalleled sensitivity, CMA detects submicroscopic chromosomal imbalances, enabling the examination of DNA for copy number variations, deletions, duplications, and other structural differences. In neurology, CMA has revolutionised diagnoses, personalised treatment plans, and patient outcomes. By identifying genetic anomalies linked to neurological conditions, CMA allows clinicians to tailor treatments based on individual genetic profiles, enhancing precision medicine. CMA's clinical utility spans numerous neurological conditions, providing crucial insights into neurodevelopmental disorders, CNS tumours, neurodegenerative diseases, cerebrovascular diseases, and epilepsy. In neurodevelopmental disorders, CMA aids in diagnosing autism and intellectual disabilities, facilitating early interventions that improve long-term outcomes. In epilepsy, CMA helps identify genetic causes of drug-resistant seizures, enabling more targeted therapies and reducing adverse reactions. CMA also aids in stratifying risk for cerebrovascular diseases, enabling preventive interventions that improve patient prognosis. Despite its potential, challenges remain, such as interpreting variants of uncertain significance (VOUS), the lack of standardised testing guidelines, and issues of cost and accessibility. Addressing these challenges will optimise CMA's impact, advancing personalised medicine and reshaping neurology. This review discusses CMA's pivotal role in bridging the gap between genomics and clinical practice, underscoring its potential to transform neurogenetics and ultimately improve patient care.
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Affiliation(s)
| | | | - Vivek Sanker
- Department of Neurosurgery, Trivandrum Medical College, India
- Department of Neurosurgery, Stanford University, CA, USA
| | | | - Sruthi Ranganathan
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | | | - Mabel Frimpong
- Bryn Mawr College, 101 N Merion Avenue, Bryn Mawr, PA, USA
| | - Kwadwo Darko
- Department of Neurosurgery, Korle Bu Teaching Hospital, Accra, Ghana
| | - Joecelyn Kirani Tan
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, United Kingdom
| | | | - Oday Atallah
- Department of Neurosurgery, Carl Von Ossietzky University Oldenburg, Oldenburg, Germany
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3
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Sandran NG, Badawi N, Gecz J, van Eyk CL. Cerebral palsy as a childhood-onset neurological disorder caused by both genetic and environmental factors. Semin Fetal Neonatal Med 2024; 29:101551. [PMID: 39523172 DOI: 10.1016/j.siny.2024.101551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
Cerebral palsy (CP) is a clinical term used to describe a spectrum of movement and posture disorders resulting from non-progressive disturbances in the developing fetal brain. The clinical diagnosis of CP does not include pathological or aetiological defining features, therefore both genetic and environmental causal pathways are encompassed under the CP diagnostic umbrella. In this review, we explore several genetic causal pathways, including both monogenic and polygenic risks, and present evidence supporting the multifactorial contributions to CP. Historically, CP has been associated with various risk factors such as pre-term birth, multiple gestation, intrauterine growth restriction (IUGR), maternal infection, and perinatal asphyxia. Thus, we also examine genetic predispositions that may contribute to these risk factors. Understanding the specific aetiology of CP enables more tailored treatments, especially with the increasing potential for early genetic testing.
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Affiliation(s)
- Nandini G Sandran
- Neurogenetics Research Program, Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australian Collaborative Cerebral Palsy Research Group, Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Nadia Badawi
- Children's Hospital Westmead Clinical School, University of Sydney, Sydney, Australia; Grace Centre for Newborn Intensive Care, The Children's Hospital Westmead, Sydney, Australia; Discipline of Child and Adolescent Health, Cerebral Palsy Alliance Research Institute, University of Sydney, Sydney, Australia
| | - Jozef Gecz
- Neurogenetics Research Program, Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australian Collaborative Cerebral Palsy Research Group, Robinson Research Institute, University of Adelaide, Adelaide, Australia; South Australian Health and Medical Research Institute, Adelaide, Australia.
| | - Clare L van Eyk
- Neurogenetics Research Program, Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australian Collaborative Cerebral Palsy Research Group, Robinson Research Institute, University of Adelaide, Adelaide, Australia
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4
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Yang J, Wang DF, Huang JH, Zhu QH, Luo LY, Lu R, Xie XL, Salehian-Dehkordi H, Esmailizadeh A, Liu GE, Li MH. Structural variant landscapes reveal convergent signatures of evolution in sheep and goats. Genome Biol 2024; 25:148. [PMID: 38845023 PMCID: PMC11155191 DOI: 10.1186/s13059-024-03288-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 05/21/2024] [Indexed: 06/10/2024] Open
Abstract
BACKGROUND Sheep and goats have undergone domestication and improvement to produce similar phenotypes, which have been greatly impacted by structural variants (SVs). Here, we report a high-quality chromosome-level reference genome of Asiatic mouflon, and implement a comprehensive analysis of SVs in 897 genomes of worldwide wild and domestic populations of sheep and goats to reveal genetic signatures underlying convergent evolution. RESULTS We characterize the SV landscapes in terms of genetic diversity, chromosomal distribution and their links with genes, QTLs and transposable elements, and examine their impacts on regulatory elements. We identify several novel SVs and annotate corresponding genes (e.g., BMPR1B, BMPR2, RALYL, COL21A1, and LRP1B) associated with important production traits such as fertility, meat and milk production, and wool/hair fineness. We detect signatures of selection involving the parallel evolution of orthologous SV-associated genes during domestication, local environmental adaptation, and improvement. In particular, we find that fecundity traits experienced convergent selection targeting the gene BMPR1B, with the DEL00067921 deletion explaining ~10.4% of the phenotypic variation observed in goats. CONCLUSIONS Our results provide new insights into the convergent evolution of SVs and serve as a rich resource for the future improvement of sheep, goats, and related livestock.
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Affiliation(s)
- Ji Yang
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Dong-Feng Wang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Jia-Hui Huang
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Qiang-Hui Zhu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Ling-Yun Luo
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Ran Lu
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Xing-Long Xie
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Hosein Salehian-Dehkordi
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, 76169-133, Iran
| | - George E Liu
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, MD, 20705, USA
| | - Meng-Hua Li
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
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5
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Kong W, Xu F, Wang S, Wei K, Wen G, Yu Y. Application of orthogonal sparse joint non-negative matrix factorization based on connectivity in Alzheimer's disease research. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:9923-9947. [PMID: 37322917 DOI: 10.3934/mbe.2023435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Based on the mining of micro- and macro-relationships of genetic variation and brain imaging data, imaging genetics has been widely applied in the early diagnosis of Alzheimer's disease (AD). However, effective integration of prior knowledge remains a barrier to determining the biological mechanism of AD. This paper proposes a new connectivity-based orthogonal sparse joint non-negative matrix factorization (OSJNMF-C) method based on integrating the structural magnetic resonance image, single nucleotide polymorphism and gene expression data of AD patients; the correlation information, sparseness, orthogonal constraint and brain connectivity information between the brain image data and genetic data are designed as constraints in the proposed algorithm, which efficiently improved the accuracy and convergence through multiple iterative experiments. Compared with the competitive algorithm, OSJNMF-C has significantly smaller related errors and objective function values than the competitive algorithm, showing its good anti-noise performance. From the biological point of view, we have identified some biomarkers and statistically significant relationship pairs of AD/mild cognitive impairment (MCI), such as rs75277622 and BCL7A, which may affect the function and structure of multiple brain regions. These findings will promote the prediction of AD/MCI.
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Affiliation(s)
- Wei Kong
- College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
| | - Feifan Xu
- College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
| | - Shuaiqun Wang
- College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
| | - Kai Wei
- Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Gen Wen
- Department of Orthopedic Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Yaling Yu
- Department of Orthopedic Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
- Institute of Microsurgery on Extremities, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
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6
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Friedman JM, van Essen P, van Karnebeek CDM. Cerebral palsy and related neuromotor disorders: Overview of genetic and genomic studies. Mol Genet Metab 2022; 137:399-419. [PMID: 34872807 DOI: 10.1016/j.ymgme.2021.11.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 10/31/2021] [Accepted: 11/02/2021] [Indexed: 12/14/2022]
Abstract
Cerebral palsy (CP) is a debilitating condition characterized by abnormal movement or posture, beginning early in development. Early family and twin studies and more recent genomic investigations clearly demonstrate that genetic factors of major effect contribute to the etiology of CP. Most copy number variants and small alterations of nucleotide sequence that cause CP arise as a result of de novo mutations, so studies that estimate heritability on basis of recurrence frequency within families substantially underestimate genetic contributions to the etiology. At least 4% of patients with typical CP have disease-causing CNVs, and at least 14% have disease-causing single nucleotide variants or indels. The rate of pathogenic genomic lesions is probably more than twice as high among patients who have atypical CP, i.e., neuromotor dysfunction with additional neurodevelopmental abnormalities or malformations, or with MRI findings and medical history that are not characteristic of a perinatal insult. Mutations of many different genetic loci can produce a CP-like phenotype. The importance of genetic variants of minor effect and of epigenetic modifications in producing a multifactorial predisposition to CP is less clear. Recognizing the specific cause of CP in an affected individual is essential to providing optimal clinical management. An etiological diagnosis provides families an "enhanced compass" that improves overall well-being, facilitates access to educational and social services, permits accurate genetic counseling, and, for a subset of patients such as those with underlying inherited metabolic disorders, may make precision therapy that targets the pathophysiology available. Trio exome sequencing with assessment of copy number or trio genome sequencing with bioinformatics analysis for single nucleotide variants, indels, and copy number variants is clinically indicated in the initial workup of CP patients, especially those with additional malformations or neurodevelopmental abnormalities.
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Affiliation(s)
- Jan M Friedman
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Peter van Essen
- Department of Pediatrics, Amalia Children's Hospital, Radboud Centre for Mitochondrial Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Clara D M van Karnebeek
- Department of Pediatrics, Amalia Children's Hospital, Radboud Centre for Mitochondrial Diseases, Radboud University Medical Center, Nijmegen, the Netherlands; Departments of Human Genetics and Pediatrics, Emma Children's Hospital, Amsterdam University Medical Centres, Amsterdam, the Netherlands; Department of Pediatrics, Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, Canada.
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7
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Zhang W, Wang H, Brandt DYC, Hu B, Sheng J, Wang M, Luo H, Li Y, Guo S, Sheng B, Zeng Q, Peng K, Zhao D, Jian S, Wu D, Wang J, Zhao G, Ren J, Shi W, van Esch JHM, Klingunga S, Nielsen R, Hong Y. The genetic architecture of phenotypic diversity in the Betta fish ( Betta splendens). SCIENCE ADVANCES 2022; 8:eabm4955. [PMID: 36129976 PMCID: PMC9491723 DOI: 10.1126/sciadv.abm4955] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 08/03/2022] [Indexed: 05/28/2023]
Abstract
The Betta fish displays a remarkable variety of phenotypes selected during domestication. However, the genetic basis underlying these traits remains largely unexplored. Here, we report a high-quality genome assembly and resequencing of 727 individuals representing diverse morphotypes of the Betta fish. We show that current breeds have a complex domestication history with extensive introgression with wild species. Using a genome-wide association study, we identify the genetic basis of multiple traits, including coloration patterns, the "Dumbo" phenotype with pectoral fin outgrowth, extraordinary enlargement of body size that we map to a major locus on chromosome 8, the sex determination locus that we map to dmrt1, and the long-fin phenotype that maps to the locus containing kcnj15. We also identify a polygenic signal related to aggression, involving multiple neural system-related genes such as esyt2, apbb2, and pank2. Our study provides a resource for developing the Betta fish as a genetic model for morphological and behavioral research in vertebrates.
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Affiliation(s)
- Wanchang Zhang
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Hongru Wang
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Débora Y. C. Brandt
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Beijuan Hu
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Junqing Sheng
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Mengnan Wang
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Haijiang Luo
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Yahui Li
- Department of Molecular, Cell and Systems Biology, University of California, Riverside, Riverside, CA 92521, USA
| | - Shujie Guo
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Bin Sheng
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Qi Zeng
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Kou Peng
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Daxian Zhao
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Shaoqing Jian
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Di Wu
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Junhua Wang
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Guang Zhao
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Jun Ren
- College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Wentian Shi
- Faculty of Philosophy, University of Tübingen, Tübingen 72074, Germany
| | - Joep H. M. van Esch
- Biology and Medical Laboratory Research, Rotterdam University of Applied Sciences, Rotterdam 3015, Netherlands
| | - Sirawut Klingunga
- Aquatic Molecular Genetics and Biotechnology Research Team, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
| | - Rasmus Nielsen
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720, USA
- Globe Institute, University of Copenhagen, Copenhagen DK-1165, Denmark
| | - Yijiang Hong
- School of Life Sciences, Nanchang University, Nanchang 330031, China
- Key Laboratory of Aquatic Resources and Utilization, Nanchang University, Nanchang 330031, China
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8
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Ribeiro MC, MacDonald JL. Vitamin D modulates cortical transcriptome and behavioral phenotypes in an Mecp2 heterozygous Rett syndrome mouse model. Neurobiol Dis 2022; 165:105636. [PMID: 35091041 PMCID: PMC8864637 DOI: 10.1016/j.nbd.2022.105636] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 01/19/2022] [Accepted: 01/21/2022] [Indexed: 12/14/2022] Open
Abstract
Rett syndrome (RTT) is an X-linked neurological disorder caused by mutations in the transcriptional regulator MECP2. Mecp2 loss-of-function leads to the disruption of many cellular pathways, including aberrant activation of the NF-κB pathway. Genetically attenuating the NF-κB pathway in Mecp2-null mice ameliorates hallmark phenotypes of RTT, including reduced dendritic complexity, raising the question of whether NF-κB pathway inhibitors could provide a therapeutic avenue for RTT. Vitamin D is a known inhibitor of NF-κB signaling; further, vitamin D deficiency is prevalent in RTT patients and male Mecp2-null mice. We previously demonstrated that vitamin D rescues the aberrant NF-κB activity and reduced neurite outgrowth of Mecp2-knockdown cortical neurons in vitro, and that dietary vitamin D supplementation rescues decreased dendritic complexity and soma size of neocortical projection neurons in both male hemizygous Mecp2-null and female heterozygous mice in vivo. Here, we have identified over 200 genes whose dysregulated expression in the Mecp2+/- cortex is modulated by dietary vitamin D. Genes normalized with vitamin D supplementation are involved in dendritic complexity, synapses, and neuronal projections, suggesting that the rescue of their expression could underpin the rescue of neuronal morphology. Further, there is a disruption in the homeostasis of the vitamin D synthesis pathway in Mecp2+/- mice, and motor and anxiety-like behavioral phenotypes in Mecp2+/- mice correlate with circulating vitamin D levels. Thus, our data indicate that vitamin D modulates RTT pathology and its supplementation could provide a simple and cost-effective partial therapeutic for RTT.
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Affiliation(s)
- Mayara C Ribeiro
- Department of Biology, Program in Neuroscience, Syracuse University, Syracuse, NY 13244, United States of America
| | - Jessica L MacDonald
- Department of Biology, Program in Neuroscience, Syracuse University, Syracuse, NY 13244, United States of America.
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9
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Zarei Ghobadi M, Emamzadeh R, Teymoori-Rad M, Mozhgani SH. Decoding pathogenesis factors involved in the progression of ATLL or HAM/TSP after infection by HTLV-1 through a systems virology study. Virol J 2021; 18:175. [PMID: 34446027 PMCID: PMC8393454 DOI: 10.1186/s12985-021-01643-8] [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: 07/12/2021] [Accepted: 08/18/2021] [Indexed: 12/28/2022] Open
Abstract
Background Human T-cell Leukemia Virus type-1 (HTLV-1) is a retrovirus that causes two diseases including Adult T-cell Leukemia/Lymphoma (ATLL cancer) and HTLV-1 Associated Myelopathy/Tropical Spastic Paraparesis (HAM/TSP, a neurodegenerative disease) after a long latency period as an asymptomatic carrier (AC). There are no obvious explanations about how each of the mentioned diseases develops in the AC carriers. Finding the discriminative molecular factors and pathways may clarify the destiny of the infection. Methods To shed light on the involved molecular players and activated pathways in each state, differentially co-expressed modules (DiffCoEx) algorithm was employed to identify the highly correlated genes which were co-expressed differently between normal and ACs, ACs and ATLL, as well as ACs and HAM/TSP samples. Through differential pathway analysis, the dysregulated pathways and the specific disease-genes-pathways were figured out. Moreover, the common genes between the member of DiffCoEx and differentially expressed genes were found and the specific genes in ATLL and HAM/TSP were introduced as possible biomarkers. Results The dysregulated genes in the ATLL were mostly enriched in immune and cancer-related pathways while the ones in the HAM/TSP were enriched in immune, inflammation, and neurological pathways. The differential pathway analysis clarified the differences between the gene players in the common activated pathways. Eventually, the final analysis revealed the involvement of specific dysregulated genes including KIRREL2, RAB36, and KANK1 in HAM/TSP as well as LTB4R2, HCN4, FZD9, GRIK5, CREB3L4, TACR2, FRMD1, LHB, FGF3, TEAD3, GRIN2D, GNRH2, PRLH, GPR156, and CRHR2 in ATLL. Conclusion The identified potential prognostic biomarkers and therapeutic targets are proposed as the most important platers in developing ATLL or HAM/TSP. Moreover, the proposed signaling network clarifies the differences between the functional players in the activated pathways in ACs, ATLL, and HAM/TSP. Supplementary Information The online version contains supplementary material available at 10.1186/s12985-021-01643-8.
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Affiliation(s)
- Mohadeseh Zarei Ghobadi
- Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran
| | - Rahman Emamzadeh
- Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran.
| | - Majid Teymoori-Rad
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Sayed-Hamidreza Mozhgani
- Department of Microbiology, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran.,Non‑Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
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Capkova Z, Capkova P, Srovnal J, Adamova K, Prochazka M, Hajduch M. Duplication of 9p24.3 in three unrelated patients and their phenotypes, considering affected genes, and similar recurrent variants. Mol Genet Genomic Med 2021; 9:e1592. [PMID: 33455084 PMCID: PMC8104183 DOI: 10.1002/mgg3.1592] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 11/22/2020] [Accepted: 12/15/2020] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Recent studies suggest that duplication of the 9p24.3 chromosomal locus, which includes the DOCK8 and KANK1 genes, is associated with autism spectrum disorders (ASD), intellectual disability/developmental delay (ID/DD), learning problems, language disorders, hyperactivity, and epilepsy. Correlation between this duplication and the carrier phenotype needs further discussion. METHODS In this study, three unrelated patients with ID/DD and ASD underwent SNP aCGH and MLPA testing. Similarities in the phenotypes of patients with 9p24.3, 15q11.2, and 16p11.2 duplications were also observed. RESULTS All patients with ID/DD and ASD carried the 9p24.3 duplication and showed intragenic duplication of DOCK8. Additionally, two patients had ADHD, one was hearing impaired and obese, and one had macrocephaly. Inheritance of the 9p24.3 duplication was confirmed in one patient and his sibling. In one patient KANK1 was duplicated along with DOCK8. Carriers of 9p24.3, 15q11.2, and 16p11.2 duplications showed several phenotypic similarities, with ID/DD more strongly associated with duplication of 9p24.3 than of 15q11.2 and 16p11.2. CONCLUSION We concluded that 9p24.3 is a likely cause of ASD and ID/DD, especially in cases of DOCK8 intragenic duplication. DOCK8 is a likely causative gene, and KANK1 aberrations a modulator, of the clinical phenotype observed. Other modulators were not excluded.
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Affiliation(s)
- Zuzana Capkova
- Department of Medical GeneticsUniversity Hospital OlomoucOlomoucCzech Republic
- Department of Medical GeneticsFaculty of Medicine and DentistryPalacký University OlomoucOlomoucCzech Republic
| | - Pavlina Capkova
- Department of Medical GeneticsUniversity Hospital OlomoucOlomoucCzech Republic
- Department of Medical GeneticsFaculty of Medicine and DentistryPalacký University OlomoucOlomoucCzech Republic
| | - Josef Srovnal
- Department of Medical GeneticsUniversity Hospital OlomoucOlomoucCzech Republic
- Institute of Molecular and Translational MedicineFaculty of Medicine and DentistryPalacký University OlomoucOlomoucCzech Republic
| | - Katerina Adamova
- Department of Medical GeneticsUniversity Hospital OlomoucOlomoucCzech Republic
- Department of Medical GeneticsFaculty of Medicine and DentistryPalacký University OlomoucOlomoucCzech Republic
| | - Martin Prochazka
- Department of Medical GeneticsUniversity Hospital OlomoucOlomoucCzech Republic
- Department of Medical GeneticsFaculty of Medicine and DentistryPalacký University OlomoucOlomoucCzech Republic
| | - Marian Hajduch
- Institute of Molecular and Translational MedicineFaculty of Medicine and DentistryPalacký University OlomoucOlomoucCzech Republic
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11
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López-Carrasco A, Martín-Vañó S, Burgos-Panadero R, Monferrer E, Berbegall AP, Fernández-Blanco B, Navarro S, Noguera R. Impact of extracellular matrix stiffness on genomic heterogeneity in MYCN-amplified neuroblastoma cell line. J Exp Clin Cancer Res 2020; 39:226. [PMID: 33109237 PMCID: PMC7592549 DOI: 10.1186/s13046-020-01729-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 10/07/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Increased tissue stiffness is a common feature of malignant solid tumors, often associated with metastasis and poor patient outcomes. Vitronectin, as an extracellular matrix anchorage glycoprotein related to a stiff matrix, is present in a particularly increased quantity and specific distribution in high-risk neuroblastoma. Furthermore, as cells can sense and transform the proprieties of the extracellular matrix into chemical signals through mechanotransduction, genotypic changes related to stiffness are possible. METHODS We applied high density SNPa and NGS techniques to in vivo and in vitro models (orthotropic xenograft vitronectin knock-out mice and 3D bioprinted hydrogels with different stiffness) using two representative neuroblastoma cell lines (the MYCN-amplified SK-N-BE(2) and the ALK-mutated SH-SY5Y), to discern how tumor genomics patterns and clonal heterogeneity of the two cell lines are affected. RESULTS We describe a remarkable subclonal selection of genomic aberrations in SK-N-BE(2) cells grown in knock-out vitronectin xenograft mice that also emerged when cultured for long times in stiff hydrogels. In particular, we detected an enlarged subclonal cell population with chromosome 9 aberrations in both models. Similar abnormalities were found in human high-risk neuroblastoma with MYCN amplification. The genomics of the SH-SY5Y cell line remained stable when cultured in both models. CONCLUSIONS Focus on heterogeneous intratumor segmental chromosome aberrations and mutations, as a mirror image of tumor microenvironment, is a vital area of future research.
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Affiliation(s)
- Amparo López-Carrasco
- Department of Pathology, Medical School, University of Valencia/INCLIVA, Valencia, Spain
- CIBERONC, Madrid, Spain
| | - Susana Martín-Vañó
- Department of Pathology, Medical School, University of Valencia/INCLIVA, Valencia, Spain
- CIBERONC, Madrid, Spain
| | - Rebeca Burgos-Panadero
- Department of Pathology, Medical School, University of Valencia/INCLIVA, Valencia, Spain
- CIBERONC, Madrid, Spain
| | - Ezequiel Monferrer
- Department of Pathology, Medical School, University of Valencia/INCLIVA, Valencia, Spain
- CIBERONC, Madrid, Spain
| | - Ana P Berbegall
- Department of Pathology, Medical School, University of Valencia/INCLIVA, Valencia, Spain
- CIBERONC, Madrid, Spain
| | | | - Samuel Navarro
- Department of Pathology, Medical School, University of Valencia/INCLIVA, Valencia, Spain
- CIBERONC, Madrid, Spain
| | - Rosa Noguera
- Department of Pathology, Medical School, University of Valencia/INCLIVA, Valencia, Spain.
- CIBERONC, Madrid, Spain.
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12
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Punjani N, Lamb DJ. Male infertility and genitourinary birth defects: there is more than meets the eye. Fertil Steril 2020; 114:209-218. [PMID: 32741459 PMCID: PMC10590568 DOI: 10.1016/j.fertnstert.2020.06.042] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 06/24/2020] [Accepted: 06/24/2020] [Indexed: 12/17/2022]
Abstract
Male factor infertility is a significant problem present in up to 50% of infertile couples. The relationship between male infertility and systemic disease is of significant interest, and emerging evidence suggests a relationship between male infertility and male genitourinary (GU) birth defects (cryptorchidism, hypospadias, ambiguous genitalia, and congenital anomalies of the kidney and urinary tract). Many of these birth defects are treated in isolation by busy urologists without acknowledgment that these may be related to more global syndromic conditions. Conversely, geneticists and nonurologists who treat variable systemic phenotypes may overlook GU defects, which are indeed related conditions. Many of these defects are attributed to copy number variants dosage-sensitive genes due to chromosome microdeletions or microduplications. These variants are responsible for disease phenotypes seen in the general population. The copy number variants described in this review are syndromic in some cases and responsible for both GU birth defects as well as other systemic phenotypes. This review highlights the emerging evidence between these birth defects, male infertility, and other systemic conditions.
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Affiliation(s)
- Nahid Punjani
- James Buchanan Brady Foundation Institute of Urology, Weill Cornell Medical College, New York, New York
| | - Dolores J Lamb
- James Buchanan Brady Foundation Institute of Urology, Weill Cornell Medical College, New York, New York; Englander Institute for Precision Medicine, Weill Cornell Medical College, New York, New York; Center for Reproductive Genomics, Weill Cornell Medical College, New York, New York.
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13
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Lekszas C, Nanda I, Vona B, Böck J, Ashrafzadeh F, Donyadideh N, Ebrahimzadeh F, Ahangari N, Maroofian R, Karimiani EG, Haaf T. Unbalanced segregation of a paternal t(9;11)(p24.3;p15.4) translocation causing familial Beckwith-Wiedemann syndrome: a case report. BMC Med Genomics 2019; 12:83. [PMID: 31174542 PMCID: PMC6555757 DOI: 10.1186/s12920-019-0539-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 05/28/2019] [Indexed: 01/29/2023] Open
Abstract
Background The vast majority of cases with Beckwith-Wiedemann syndrome (BWS) are caused by a molecular defect in the imprinted chromosome region 11p15.5. The underlying mechanisms include epimutations, uniparental disomy, copy number variations, and structural rearrangements. In addition, maternal loss-of-function mutations in CDKN1C are found. Despite growing knowledge on BWS pathogenesis, up to 20% of patients with BWS phenotype remain without molecular diagnosis. Case presentation Herein, we report an Iranian family with two females affected with BWS in different generations. Bisulfite pyrosequencing revealed hypermethylation of the H19/IGF2: intergenic differentially methylated region (IG DMR), also known as imprinting center 1 (IC1) and hypomethylation of the KCNQ1OT1: transcriptional start site (TSS) DMR (IC2). Array CGH demonstrated an 8 Mb duplication on chromosome 11p15.5p15.4 (205,827-8,150,933) and a 1 Mb deletion on chromosome 9p24.3 (209,020-1,288,114). Chromosome painting revealed that this duplication-deficiency in both patients is due to unbalanced segregation of a paternal reciprocal t(9;11)(p24.3;p15.4) translocation. Conclusions This is the first report of a paternally inherited unbalanced translocation between the chromosome 9 and 11 short arms underlying familial BWS. Copy number variations involving the 11p15.5 region are detected by the consensus diagnostic algorithm. However, in complex cases which do not only affect the BWS region itself, characterization of submicroscopic chromosome rearrangements can assist to estimate the recurrence risk and possible phenotypic outcomes.
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Affiliation(s)
- Caroline Lekszas
- Institute of Human Genetics, Julius Maximilians University Würzburg, Biozentrum, Am Hubland, 97074, Würzburg, Germany
| | - Indrajit Nanda
- Institute of Human Genetics, Julius Maximilians University Würzburg, Biozentrum, Am Hubland, 97074, Würzburg, Germany
| | - Barbara Vona
- Institute of Human Genetics, Julius Maximilians University Würzburg, Biozentrum, Am Hubland, 97074, Würzburg, Germany
| | - Julia Böck
- Institute of Human Genetics, Julius Maximilians University Würzburg, Biozentrum, Am Hubland, 97074, Würzburg, Germany
| | - Farah Ashrafzadeh
- Department of Pediatric Diseases, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Nahid Donyadideh
- Department of Pediatric Diseases, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Farnoosh Ebrahimzadeh
- Department of Internal Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Najmeh Ahangari
- Department of Modern Sciences and Technologies, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Reza Maroofian
- Molecular and Clinical Sciences Institute, St. George's University of London, Cranmer Terrace, London, UK
| | - Ehsan Ghayoor Karimiani
- Molecular and Clinical Sciences Institute, St. George's University of London, Cranmer Terrace, London, UK
| | - Thomas Haaf
- Institute of Human Genetics, Julius Maximilians University Würzburg, Biozentrum, Am Hubland, 97074, Würzburg, Germany.
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14
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Coltell O, Asensio EM, Sorlí JV, Barragán R, Fernández-Carrión R, Portolés O, Ortega-Azorín C, Martínez-LaCruz R, González JI, Zanón-Moreno V, Gimenez-Alba I, Fitó M, Ros E, Ordovas JM, Corella D. Genome-Wide Association Study (GWAS) on Bilirubin Concentrations in Subjects with Metabolic Syndrome: Sex-Specific GWAS Analysis and Gene-Diet Interactions in a Mediterranean Population. Nutrients 2019; 11:nu11010090. [PMID: 30621171 PMCID: PMC6356696 DOI: 10.3390/nu11010090] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 12/27/2018] [Accepted: 12/27/2018] [Indexed: 01/30/2023] Open
Abstract
Although, for decades, increased serum bilirubin concentrations were considered a threatening sign of underlying liver disease and had been associated with neonatal jaundice, data from recent years show that bilirubin is a powerful antioxidant and suggest that slightly increased serum bilirubin concentrations are protective against oxidative stress-related diseases, such as cardiovascular diseases. Therefore, a better understanding of the gene-diet interactions in determining serum bilirubin concentrations is needed. None of the previous genome-wide association studies (GWAS) on bilirubin concentrations has been stratified by sex. Therefore, considering the increasing interest in incorporating the gender perspective into nutritional genomics, our main aim was to carry out a GWAS on total serum bilirubin concentrations in a Mediterranean population with metabolic syndrome, stratified by sex. Our secondary aim was to explore, as a pilot study, the presence of gene-diet interactions at the GWAS level. We included 430 participants (188 men and 242 women, aged 55–75 years, and with metabolic syndrome) in the PREDIMED Plus-Valencia study. Global and sex-specific GWAS were undertaken to analyze associations and gene-diet interaction on total serum bilirubin. Adherence (low and high) to the Mediterranean diet (MedDiet) was analyzed as the dietary modulator. In the GWAS, we detected more than 55 SNPs associated with serum bilirubin at p < 5 × 10−8 (GWAS level). The top-ranked were four SNPs (rs4148325 (p = 9.25 × 10−24), rs4148324 (p = 9.48 × 10−24), rs6742078 (p = 1.29 × 10−23), rs887829 (p = 1.39 × 10−23), and the rs4148324 (p = 9.48 × 10−24)) in the UGT1A1 (UDP glucuronosyltransferase family 1 member A1) gene, which replicated previous findings revealing the UGT1A1 as the major locus. In the sex-specific GWAS, the top-ranked SNPs at the GWAS level were similar in men and women (the lead SNP was the rs4148324-UGT1A1 in both men (p = 4.77 × 10−11) and women (p = 2.15 × 10−14), which shows homogeneous genetic results for the major locus. There was more sex-specific heterogeneity for other minor genes associated at the suggestive level of GWAS significance (p < 1 × 10−5). We did not detect any gene-MedDiet interaction at p < 1 × 10−5 for the major genetic locus, but we detected some gene-MedDiet interactions with other genes at p < 1 × 10−5, and even at the GWAS level for the IL17B gene (p = 3.14 × 10−8). These interaction results, however, should be interpreted with caution due to our small sample size. In conclusion, our study provides new data, with a gender perspective, on genes associated with total serum bilirubin concentrations in men and women, and suggests possible additional modulations by adherence to MedDiet.
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Affiliation(s)
- Oscar Coltell
- Department of Computer Languages and Systems, Universitat Jaume I, 12071 Castellón, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Eva M Asensio
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
| | - José V Sorlí
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
| | - Rocio Barragán
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
| | - Rebeca Fernández-Carrión
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
| | - Olga Portolés
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
| | - Carolina Ortega-Azorín
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
| | - Raul Martínez-LaCruz
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
| | - José I González
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
| | - Vicente Zanón-Moreno
- Area of Health Sciences, Valencian International University, 46002 Valencia, Spain.
- Red Temática de Investigación Cooperativa OftaRed, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Ophthalmology Research Unit "Santiago Grisolia", Dr. Peset University Hospital, 46017 Valencia, Spain.
| | - Ignacio Gimenez-Alba
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Instituto Hospital del Mar de Investigaciones Médicas, 08003 Barcelona, Spain.
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Lipid Clinic, Endocrinology and Nutrition Service, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, 08036 Barcelona, Spain.
| | - Jose M Ordovas
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA 02111, USA.
- Department of Cardiovascular Epidemiology and Population Genetics, Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029 Madrid, Spain.
- IMDEA Alimentación, 28049 Madrid, Spain.
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
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