1
|
Baskar D, Vengalil S, Polavarapu K, Preethish-Kumar V, Arunachal G, Sukrutha R, Bardhan M, Huddar A, Unnikrishnan G, Kulkarni GB, Chickabasaviah YT, Kumar RS, Nalini A, Nashi S. Phenotypic Heterogeneity in ORAI-1-Associated Congenital Myopathy. Glob Med Genet 2024; 11:297-303. [PMID: 39238562 PMCID: PMC11377103 DOI: 10.1055/s-0044-1790245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/07/2024] Open
Abstract
Introduction ORAI-1 is a plasma membrane calcium release-activated calcium channel that plays a crucial role in the excitation-contraction of skeletal muscles. Loss-of-function mutations of ORAI-1 cause severe combined immunodeficiency, nonprogressive muscle hypotonia, and anhidrotic ectodermal dysplasia. Autosomal dominant gain-of-function mutation causes Stormorken's syndrome, which includes tubular aggregate myopathy along with bleeding diathesis. Methods This is a description of a genetically confirmed case of ORAI-1-associated myopathy with clinical, histopathological, and imaging characteristics and a detailed literature review. Results We report an 18-year-old woman who presented with 2-and-a-half year history of slowly progressive proximal lower limb weakness and ophthalmoparesis. Her serum creatine kinase levels were normal. Magnetic resonance imaging of the muscle showed predominant fatty infiltration of the glutei and quadriceps femoris. Histopathological analysis of muscle biopsy was suggestive of congenital fiber-type disproportion (CFTD). Clinical exome sequencing showed novel homozygous nonsense pathogenic variant NC_000012.12 (NM_032790.3): c.205G > T (p.Glu69Ter) in ORAI-1 gene. Conclusion This report expands the phenotypic spectrum of ORAI-1-related myopathy to include congenital myopathy-CFTD with ophthalmoparesis, a novel manifestation.
Collapse
Affiliation(s)
- Dipti Baskar
- Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Seena Vengalil
- Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Kiran Polavarapu
- Division of Neurology, Children's Hospital of Eastern Ontario Research Institute, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - Veeramani Preethish-Kumar
- Department of Neurology, Morriston Hospital, Swansea Bay University Health Board, Swansea, United Kingdom
| | - Gautham Arunachal
- Department of Human Genetics, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Ramya Sukrutha
- Department of Human Genetics, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Mainak Bardhan
- Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Akshata Huddar
- Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Gopikrishnan Unnikrishnan
- Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Girish Baburao Kulkarni
- Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Yasha T Chickabasaviah
- Department of Neuropathology, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Rashmi Santhosh Kumar
- Department of Neuropathology, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Atchayaram Nalini
- Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Saraswati Nashi
- Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| |
Collapse
|
2
|
Wang Y, Ju R, Jiang J, Mao L, Li X, Deng M. Concomitant presence of a novel ARPP21 variant and CNVs in Chinese familial amyotrophic lateral sclerosis-frontotemporal dementia patients. Neurol Sci 2024:10.1007/s10072-024-07759-3. [PMID: 39271636 DOI: 10.1007/s10072-024-07759-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Accepted: 09/03/2024] [Indexed: 09/15/2024]
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disorder marked by the degeneration of motor neurons and progressive muscle weakness. Heredity plays an important part in the pathogenesis of ALS. Recently, with the emergence of the oligogenic pathogenic mechanism in ALS and the ongoing discovery of new mutated genes and genomic variants, there is an emerging need for larger-scale and more comprehensive genetic screenings in higher resolution. In this study, we performed whole-genome sequencing (WGS) on 34 familial ALS probands lacking the most common disease-causing mutations to explore the genetic landscape of Chinese ALS patients further. Among them, we identified a novel ARPP21 c.1231G > A (p.Glu411Lys) variant and two copy number variations (CNVs) affecting the PFN1 and RBCK1 genes in a patient with ALS-frontotemporal dementia (FTD). This marks the first report of an ARPP21 variant in Chinese ALS-FTD patients, providing fresh evidence for the association between ARPP21 and ALS. Our findings also underscore the potential role of CNVs in ALS-FTD, suggesting that the cumulative effect of multiple rare variants may contribute to disease onset. Furthermore, compared to the averages in our cohort and the reported Chinese ALS population, this patient displayed a shorter survival time and more rapid disease progression, suggesting the possibility of an oligogenic mechanism in disease pathogenesis. Further research will contribute to a deeper understanding of the rare mutations and their interactions, thus advancing our understanding of the genetic mechanisms underlying ALS and ALS-FTD.
Collapse
Affiliation(s)
- Yiying Wang
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, 100191, China
| | - Runqing Ju
- The Affiliated High School of Peking University Dalton Academy, Beijing, 100190, China
| | - Jingsi Jiang
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, 100191, China
| | - Le Mao
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, 100191, China
| | - Xiaogang Li
- Department of Neurology, Peking University Third Hospital, Beijing, 100191, China
| | - Min Deng
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, 100191, China.
| |
Collapse
|
3
|
Lin YJ, Menon AS, Hu Z, Brenner SE. Variant Impact Predictor database (VIPdb), version 2: trends from three decades of genetic variant impact predictors. Hum Genomics 2024; 18:90. [PMID: 39198917 PMCID: PMC11360829 DOI: 10.1186/s40246-024-00663-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Accepted: 08/19/2024] [Indexed: 09/01/2024] Open
Abstract
BACKGROUND Variant interpretation is essential for identifying patients' disease-causing genetic variants amongst the millions detected in their genomes. Hundreds of Variant Impact Predictors (VIPs), also known as Variant Effect Predictors (VEPs), have been developed for this purpose, with a variety of methodologies and goals. To facilitate the exploration of available VIP options, we have created the Variant Impact Predictor database (VIPdb). RESULTS The Variant Impact Predictor database (VIPdb) version 2 presents a collection of VIPs developed over the past three decades, summarizing their characteristics, ClinGen calibrated scores, CAGI assessment results, publication details, access information, and citation patterns. We previously summarized 217 VIPs and their features in VIPdb in 2019. Building upon this foundation, we identified and categorized an additional 190 VIPs, resulting in a total of 407 VIPs in VIPdb version 2. The majority of the VIPs have the capacity to predict the impacts of single nucleotide variants and nonsynonymous variants. More VIPs tailored to predict the impacts of insertions and deletions have been developed since the 2010s. In contrast, relatively few VIPs are dedicated to the prediction of splicing, structural, synonymous, and regulatory variants. The increasing rate of citations to VIPs reflects the ongoing growth in their use, and the evolving trends in citations reveal development in the field and individual methods. CONCLUSIONS VIPdb version 2 summarizes 407 VIPs and their features, potentially facilitating VIP exploration for various variant interpretation applications. VIPdb is available at https://genomeinterpretation.org/vipdb.
Collapse
Affiliation(s)
- Yu-Jen Lin
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA
- Center for Computational Biology, University of California, Berkeley, CA, 94720, USA
| | - Arul S Menon
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA
- College of Computing, Data Science, and Society, University of California, Berkeley, CA, 94720, USA
| | - Zhiqiang Hu
- Department of Plant and Microbial Biology, University of California, 111 Koshland Hall #3102, Berkeley, CA, 94720-3102, USA
- Illumina, Foster City, CA, 94404, USA
| | - Steven E Brenner
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA.
- Center for Computational Biology, University of California, Berkeley, CA, 94720, USA.
- College of Computing, Data Science, and Society, University of California, Berkeley, CA, 94720, USA.
- Department of Plant and Microbial Biology, University of California, 111 Koshland Hall #3102, Berkeley, CA, 94720-3102, USA.
| |
Collapse
|
4
|
Banks E, Francis V, Lin SJ, Kharfallah F, Fonov V, Lévesque M, Han C, Kulasekaran G, Tuznik M, Bayati A, Al-Khater R, Alkuraya FS, Argyriou L, Babaei M, Bahlo M, Bakhshoodeh B, Barr E, Bartik L, Bassiony M, Bertrand M, Braun D, Buchert R, Budetta M, Cadieux-Dion M, Calame DG, Cope H, Cushing D, Efthymiou S, Elmaksoud MA, El Said HG, Froukh T, Gill HK, Gleeson JG, Gogoll L, Goh ESY, Gowda VK, Haack TB, Hashem MO, Hauser S, Hoffman TL, Hogue JS, Hosokawa A, Houlden H, Huang K, Huynh S, Karimiani EG, Kaulfuß S, Korenke GC, Kritzer A, Lee H, Lupski JR, Marco EJ, McWalter K, Minassian A, Minassian BA, Murphy D, Neira-Fresneda J, Northrup H, Nyaga DM, Oehl-Jaschkowitz B, Osmond M, Person R, Pehlivan D, Petree C, Sadleir LG, Saunders C, Schoels L, Shashi V, Spillmann RC, Srinivasan VM, Torbati PN, Tos T, Zaki MS, Zhou D, Zweier C, Trempe JF, Durcan TM, Gan-Or Z, Avoli M, Alves C, Varshney GK, Maroofian R, Rudko DA, McPherson PS. Loss of symmetric cell division of apical neural progenitors drives DENND5A-related developmental and epileptic encephalopathy. Nat Commun 2024; 15:7239. [PMID: 39174524 PMCID: PMC11341845 DOI: 10.1038/s41467-024-51310-z] [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: 08/09/2023] [Accepted: 07/23/2024] [Indexed: 08/24/2024] Open
Abstract
Developmental and epileptic encephalopathies (DEEs) feature altered brain development, developmental delay and seizures, with seizures exacerbating developmental delay. Here we identify a cohort with biallelic variants in DENND5A, encoding a membrane trafficking protein, and develop animal models with phenotypes like the human syndrome. We demonstrate that DENND5A interacts with Pals1/MUPP1, components of the Crumbs apical polarity complex required for symmetrical division of neural progenitor cells. Human induced pluripotent stem cells lacking DENND5A fail to undergo symmetric cell division with an inherent propensity to differentiate into neurons. These phenotypes result from misalignment of the mitotic spindle in apical neural progenitors. Cells lacking DENND5A orient away from the proliferative apical domain surrounding the ventricles, biasing daughter cells towards a more fate-committed state, ultimately shortening the period of neurogenesis. This study provides a mechanism for DENND5A-related DEE that may be generalizable to other developmental conditions and provides variant-specific clinical information for physicians and families.
Collapse
Affiliation(s)
- Emily Banks
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada
| | - Vincent Francis
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada
| | - Sheng-Jia Lin
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Fares Kharfallah
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada
| | - Vladimir Fonov
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada
| | - Maxime Lévesque
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada
| | - Chanshuai Han
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada
| | - Gopinath Kulasekaran
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada
| | - Marius Tuznik
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada
| | - Armin Bayati
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada
| | | | - Fowzan S Alkuraya
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Loukas Argyriou
- Institute of Human Genetics, University Medical Center, Göttingen, Germany
| | - Meisam Babaei
- Department of Pediatrics, North Khorasan University of Medical Sciences, Bojnurd, Iran
| | - Melanie Bahlo
- Walter and Eliza Hall Institute for Medical Research, Parkville, VIC, Australia
| | | | - Eileen Barr
- Department of Human Genetics, Emory University, Atlanta, GA, USA
| | - Lauren Bartik
- University of Missouri-Kansas City, School of Medicine, Kansas City, MO, USA
- Department of Pediatrics, Division of Clinical Genetics, Children's Mercy Hospital, Kansas City, MO, USA
| | | | - Miriam Bertrand
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Dominique Braun
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Rebecca Buchert
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Mauro Budetta
- Paediatric and Child Neurology Unit, Cava de' Tirreni AOU S. Giovanni di Dio e Ruggiero d'Aragona Hospital, Salerno, Italy
| | - Maxime Cadieux-Dion
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital, Kansas City, MO, USA
| | - Daniel G Calame
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Texas Children's Hospital, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Heidi Cope
- Division of Medical Genetics, Department of Pediatrics, Duke University Medical Center, Durham, NC, USA
| | - Donna Cushing
- Laboratory Medicine and Genetics, Trillium Health Partners, Mississauga, ON, Canada
| | - Stephanie Efthymiou
- Department of Neuromuscular Diseases, University College London (UCL) Queen Square Institute of Neurology, London, UK
| | - Marwa Abd Elmaksoud
- Neurology Unit, Department of Pediatrics, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
| | - Huda G El Said
- Neurology Unit, Department of Pediatrics, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
| | - Tawfiq Froukh
- Department of Biotechnology and Genetic Engineering, Philadelphia University, Amman, Jordan
| | - Harinder K Gill
- Provincial Medical Genetics Program at BC Women's Health Centre, Vancouver, BC, Canada
| | - Joseph G Gleeson
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | - Laura Gogoll
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Elaine S-Y Goh
- Laboratory Medicine and Genetics, Trillium Health Partners, Mississauga, ON, Canada
| | - Vykuntaraju K Gowda
- Department of Pediatric Neurology, Indira Gandhi Institute of Child Health, Bangalore, India
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Mais O Hashem
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Stefan Hauser
- German Center of Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Center for Neurology and Hertie Institute for Clinical Brain Research, University Tübingen, Tübingen, 72076, Germany
| | - Trevor L Hoffman
- Department of Regional Genetics, Southern California Kaiser Permanente Medical Group, Anaheim, CA, USA
| | | | - Akimoto Hosokawa
- Department of Paediatrics and Child Health, University of Otago, Wellington, New Zealand
| | - Henry Houlden
- Department of Neuromuscular Diseases, University College London (UCL) Queen Square Institute of Neurology, London, UK
| | - Kevin Huang
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Stephanie Huynh
- Provincial Medical Genetics Program at BC Women's Health Centre, Vancouver, BC, Canada
| | - Ehsan G Karimiani
- Molecular and Clinical Sciences Institute, St. George's, University of London, Cranmer Terrace, London, UK
- Department of Medical Genetics, Next Generation Genetic Polyclinic, Mashhad, Iran
| | - Silke Kaulfuß
- Institute of Human Genetics, University Medical Center, Göttingen, Germany
| | - G Christoph Korenke
- Department of Neuropediatrics, University Children's Hospital, Klinikum Oldenburg, Oldenburg, Germany
| | - Amy Kritzer
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Hane Lee
- 3billion Inc, Seoul, South Korea
| | - James R Lupski
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Texas Children's Hospital, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | | | | | - Arakel Minassian
- Centre for Applied Genomics, Genetics, and Genome Biology, Hospital for Sick Children, Toronto, ON, Canada
| | - Berge A Minassian
- Department of Pediatrics and Neurology, UT Southwestern Medical Center, Dallas, TX, USA
| | - David Murphy
- Department of Clinical and Movement Neurosciences, University College London (UCL) Queen Square Institute of Neurology, London, UK
| | | | - Hope Northrup
- Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston (UTHealth) and Children's Memorial Hermann Hospital, Houston, TX, USA
| | - Denis M Nyaga
- Department of Paediatrics and Child Health, University of Otago, Wellington, New Zealand
| | | | - Matthew Osmond
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada
| | | | - Davut Pehlivan
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Texas Children's Hospital, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Cassidy Petree
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Lynette G Sadleir
- Department of Paediatrics and Child Health, University of Otago, Wellington, New Zealand
| | - Carol Saunders
- University of Missouri-Kansas City, School of Medicine, Kansas City, MO, USA
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital, Kansas City, MO, USA
- Center for Pediatric Genomic Medicine Children's Mercy, Kansas City, MO, USA
| | - Ludger Schoels
- German Center of Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Center for Neurology and Hertie Institute for Clinical Brain Research, University Tübingen, Tübingen, 72076, Germany
| | - Vandana Shashi
- Division of Medical Genetics, Department of Pediatrics, Duke University Medical Center, Durham, NC, USA
| | - Rebecca C Spillmann
- Division of Medical Genetics, Department of Pediatrics, Duke University Medical Center, Durham, NC, USA
| | | | - Paria N Torbati
- Department of Medical Genetics, Next Generation Genetic Polyclinic, Mashhad, Iran
| | - Tulay Tos
- Department of Medical Genetics, University of Health Sciences, Zubeyde Hanim Research and Training Hospital of Women's Health and Diseases, Ankara, Turkey
| | - Maha S Zaki
- Human Genetics and Genome Research Institute, Clinical Genetics Department, National Research Centre, Cairo, Egypt
| | - Dihong Zhou
- University of Missouri-Kansas City, School of Medicine, Kansas City, MO, USA
- Department of Pediatrics, Division of Clinical Genetics, Children's Mercy Hospital, Kansas City, MO, USA
| | - Christiane Zweier
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Jean-François Trempe
- Department of Pharmacology & Therapeutics and Centre de Recherche en Biologie Structurale, McGill University, Montréal, QC, Canada
| | - Thomas M Durcan
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada
| | - Ziv Gan-Or
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada
- Department of Human Genetics, McGill University, Montréal, QC, Canada
| | - Massimo Avoli
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada
| | - Cesar Alves
- Division of Neuroradiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Gaurav K Varshney
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Reza Maroofian
- Department of Neuromuscular Diseases, University College London (UCL) Queen Square Institute of Neurology, London, UK
| | - David A Rudko
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada
- McConnell Brain Imaging Centre, the Neuro, Montréal, QC, Canada
- Department of Biomedical Engineering, McGill University, Montréal, QC, Canada
| | - Peter S McPherson
- Department of Neurology and Neurosurgery, the Neuro, McGill University, Montréal, QC, Canada.
| |
Collapse
|
5
|
Agha Gholizadeh M, Behjati F, Ghasemi Firouzabadi S, Heidari E, Razmara E, Almadani N, Sharifi Zarchi A, Garshasbi M. Novel splicing variant and gonadal mosaicism in DYRK1A gene identified by whole-genome sequencing in multiplex autism spectrum disorder families. Neurogenetics 2024:10.1007/s10048-024-00768-6. [PMID: 38976082 DOI: 10.1007/s10048-024-00768-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Accepted: 06/25/2024] [Indexed: 07/09/2024]
Abstract
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with considerable genetic heterogeneity. The disorder is clinically diagnosed based on DSM-5 criteria, featuring deficits in social communication and interaction, along with restricted and repetitive behaviours. Here, we performed whole-genome sequencing (WGS) on four individuals with ASD from two multiplex families (MPX), where more than one individual is affected, to identify potential single nucleotide variants (SNVs) and structural variants (SVs) in coding and non-coding regions. A rigorous bioinformatics pipeline was employed for variant detection, followed by segregation analysis. Our investigation revealed an unreported splicing variant in the DYRK1A gene (c.-77 + 2T > C; IVS1 + 2T > C; NM_001396.5), in heterozygote form in two affected children in one of the families (family B), which was absent in the healthy parents and siblings. This finding suggests the presence of gonadal mosaicism in one of the parents, representing the first documented instance of such inheritance for a variant in the DYRK1A gene associated with ASD. Furthermore, we identified a 50 bp deletion in intron 9 of the DLG2 gene in two affected patients from the same family, confirmed by PCR and Sanger sequencing. In Family A, we identified potential candidate variants associated with ASD shared by the two patients. These findings enhance our understanding of the genetic landscape of ASD, particularly in MPX families, and highlight the utility of WGS in uncovering novel genetic contributions to neurodevelopmental disorders.
Collapse
Affiliation(s)
- Mehdi Agha Gholizadeh
- Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Jalah-Al Ahmad Hwy, Tehran, 14117-1316, Iran
| | - Farkhondeh Behjati
- Genetics Research Centre, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | | | - Erfan Heidari
- Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Jalah-Al Ahmad Hwy, Tehran, 14117-1316, Iran
| | - Ehsan Razmara
- Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Jalah-Al Ahmad Hwy, Tehran, 14117-1316, Iran
| | - Navid Almadani
- Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
| | - Ali Sharifi Zarchi
- Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
| | - Masoud Garshasbi
- Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Jalah-Al Ahmad Hwy, Tehran, 14117-1316, Iran.
| |
Collapse
|
6
|
Leon-Apodaca AV, Kumar M, del Castillo A, Conroy GC, Lamont RW, Ogbourne S, Cairns KM, Borburgh L, Behrendorff L, Subramanian S, Szpiech ZA. Genomic Consequences of Isolation and Inbreeding in an Island Dingo Population. Genome Biol Evol 2024; 16:evae130. [PMID: 38913571 PMCID: PMC11221432 DOI: 10.1093/gbe/evae130] [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: 10/12/2023] [Revised: 05/29/2024] [Accepted: 06/03/2024] [Indexed: 06/26/2024] Open
Abstract
Dingoes come from an ancient canid lineage that originated in East Asia around 8,000 to 11,000 years BP. As Australia's largest terrestrial predator, dingoes play an important ecological role. A small, protected population exists on a world heritage listed offshore island, K'gari (formerly Fraser Island). Concern regarding the persistence of dingoes on K'gari has risen due to their low genetic diversity and elevated inbreeding levels. However, whole-genome sequence data is lacking from this population. Here, we include five new whole-genome sequences of K'gari dingoes. We analyze a total of 18 whole-genome sequences of dingoes sampled from mainland Australia and K'gari to assess the genomic consequences of their demographic histories. Long (>1 Mb) runs of homozygosity (ROHs)-indicators of inbreeding-are elevated in all sampled dingoes. However, K'gari dingoes showed significantly higher levels of very long ROH (>5 Mb), providing genomic evidence for small population size, isolation, inbreeding, and a strong founder effect. Our results suggest that, despite current levels of inbreeding, the K'gari population is purging strongly deleterious mutations, which, in the absence of further reductions in population size, may facilitate the persistence of small populations despite low genetic diversity and isolation. However, there may be little to no purging of mildly deleterious alleles, which may have important long-term consequences, and should be considered by conservation and management programs.
Collapse
Affiliation(s)
- Ana V Leon-Apodaca
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Manoharan Kumar
- School of Science, Technology & Engineering, University of the Sunshine Coast, 1 Moreton Parade, Petrie, Queensland, Australia
| | - Andres del Castillo
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Gabriel C Conroy
- School of Science, Technology & Engineering, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
- Centre for Bioinnovation, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Robert W Lamont
- School of Science, Technology & Engineering, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
- Centre for Bioinnovation, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Steven Ogbourne
- Centre for Bioinnovation, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Kylie M Cairns
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Australia, Sydney, NSW 2052, Australia
- Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, UNSW Australia, Sydney, NSW 2052, Australia
| | - Liz Borburgh
- School of Science, Technology & Engineering, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Linda Behrendorff
- Queensland Parks and Wildlife Service, Department of Environment & Science, K’gari, Australia
| | - Sankar Subramanian
- School of Science, Technology & Engineering, University of the Sunshine Coast, 1 Moreton Parade, Petrie, Queensland, Australia
- Centre for Bioinnovation, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Zachary A Szpiech
- Department of Biology, Pennsylvania State University, University Park, PA, USA
- Institute for Computational and Data Sciences, Pennsylvania State University, University Park, PA, USA
| |
Collapse
|
7
|
Bazgir A, Agha Gholizadeh M, Kahani SM, Tavasoli AR, Garshasbi M. Identification of a Novel Homozygous GLS Gene Variant Associated with Developmental and Epileptic Encephalopathy (DEE) Type 71. Neurogenetics 2024; 25:225-232. [PMID: 38622440 DOI: 10.1007/s10048-024-00753-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 03/06/2024] [Indexed: 04/17/2024]
Abstract
Developmental and epileptic encephalopathy (DEEs) (OMIM#618,328) is characterized by seizures, hypotonia, and brain abnormalities, often arising from mutations in genes crucial for brain function. Among these genes, GLS stands out due to its vital role in the central nervous system (CNS), with homozygous variants potentially causing DEE type 71. Using Whole Exome Sequencing (WES) on a patient exhibiting symptoms of epileptic encephalopathy, we identified a novel homozygous variant, NM_014905.5:c.1849G > T; p.(Asp617Tyr), in the GLS gene. The 5-year-old patient, born to consanguineous parents, presented with developmental delay, encephalopathy, frequent seizures, and hypotonia. Sanger sequencing further validated the GLS gene variant in both the patient and his family. Furthermore, our bioinformatics analysis indicated that this missense variant could lead to alteration of splicing, resulting in the activation of a cryptic donor site and potentially causing loss of protein function. Our finding highlights the pathogenic significance of the GLS gene, particularly in the context of brain disorders, specifically DEE71.
Collapse
Affiliation(s)
- Afsaneh Bazgir
- Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
- PardisGene Company, Tehran, Iran
| | - Mehdi Agha Gholizadeh
- Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
- PardisGene Company, Tehran, Iran
| | - Seyyed Mohammad Kahani
- Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
- PardisGene Company, Tehran, Iran
| | - Ali Reza Tavasoli
- Division of Pediatric Neurology, Myelin Disorders Clinic, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Neurology Division, Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Masoud Garshasbi
- Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
- Department of Medical Genetics, DeNA Laboratory, Tehran, Iran.
| |
Collapse
|
8
|
Lin YJ, Menon AS, Hu Z, Brenner SE. Variant Impact Predictor database (VIPdb), version 2: Trends from 25 years of genetic variant impact predictors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.25.600283. [PMID: 38979289 PMCID: PMC11230257 DOI: 10.1101/2024.06.25.600283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Background Variant interpretation is essential for identifying patients' disease-causing genetic variants amongst the millions detected in their genomes. Hundreds of Variant Impact Predictors (VIPs), also known as Variant Effect Predictors (VEPs), have been developed for this purpose, with a variety of methodologies and goals. To facilitate the exploration of available VIP options, we have created the Variant Impact Predictor database (VIPdb). Results The Variant Impact Predictor database (VIPdb) version 2 presents a collection of VIPs developed over the past 25 years, summarizing their characteristics, ClinGen calibrated scores, CAGI assessment results, publication details, access information, and citation patterns. We previously summarized 217 VIPs and their features in VIPdb in 2019. Building upon this foundation, we identified and categorized an additional 186 VIPs, resulting in a total of 403 VIPs in VIPdb version 2. The majority of the VIPs have the capacity to predict the impacts of single nucleotide variants and nonsynonymous variants. More VIPs tailored to predict the impacts of insertions and deletions have been developed since the 2010s. In contrast, relatively few VIPs are dedicated to the prediction of splicing, structural, synonymous, and regulatory variants. The increasing rate of citations to VIPs reflects the ongoing growth in their use, and the evolving trends in citations reveal development in the field and individual methods. Conclusions VIPdb version 2 summarizes 403 VIPs and their features, potentially facilitating VIP exploration for various variant interpretation applications. Availability VIPdb version 2 is available at https://genomeinterpretation.org/vipdb.
Collapse
Affiliation(s)
- Yu-Jen Lin
- Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA
- Center for Computational Biology, University of California, Berkeley, California 94720, USA
| | - Arul S. Menon
- Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA
- College of Computing, Data Science, and Society, University of California, Berkeley, California 94720, USA
| | - Zhiqiang Hu
- Department of Plant and Microbial Biology, University of California, Berkeley, California 94720, USA
- Currently at: Illumina, Foster City, California 94404, USA
| | - Steven E. Brenner
- Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA
- Center for Computational Biology, University of California, Berkeley, California 94720, USA
- College of Computing, Data Science, and Society, University of California, Berkeley, California 94720, USA
- Department of Plant and Microbial Biology, University of California, Berkeley, California 94720, USA
| |
Collapse
|
9
|
Liu HK, Hao HL, You H, Feng F, Qi XH, Huang XY, Hou B, Tian CG, Wang H, Yang HM, Wang J, Wu R, Fang H, Zhou JN, Zhang JG, Zhang ZX. A Cysteinyl-tRNA Synthetase Mutation Causes Novel Autosomal-Dominant Inheritance of a Parkinsonism/Spinocerebellar-Ataxia Complex. Neurosci Bull 2024:10.1007/s12264-024-01231-0. [PMID: 38869703 DOI: 10.1007/s12264-024-01231-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 12/22/2023] [Indexed: 06/14/2024] Open
Abstract
This study aimed to identify possible pathogenic genes in a 90-member family with a rare combination of multiple neurodegenerative disease phenotypes, which has not been depicted by the known neurodegenerative disease. We performed physical and neurological examinations with International Rating Scales to assess signs of ataxia, Parkinsonism, and cognitive function, as well as brain magnetic resonance imaging scans with seven sequences. We searched for co-segregations of abnormal repeat-expansion loci, pathogenic variants in known spinocerebellar ataxia-related genes, and novel rare mutations via whole-genome sequencing and linkage analysis. A rare co-segregating missense mutation in the CARS gene was validated by Sanger sequencing and the aminoacylation activity of mutant CARS was measured by spectrophotometric assay. This pedigree presented novel late-onset core characteristics including cerebellar ataxia, Parkinsonism, and pyramidal signs in all nine affected members. Brain magnetic resonance imaging showed cerebellar/pons atrophy, pontine-midline linear hyperintensity, decreased rCBF in the bilateral basal ganglia and cerebellar dentate nucleus, and hypo-intensities of the cerebellar dentate nuclei, basal ganglia, mesencephalic red nuclei, and substantia nigra, all of which suggested neurodegeneration. Whole-genome sequencing identified a novel pathogenic heterozygous mutation (E795V) in the CARS gene, meanwhile, exhibited none of the known repeat-expansions or point mutations in pathogenic genes. Remarkably, this CARS mutation causes a 20% decrease in aminoacylation activity to charge tRNACys with L-cysteine in protein synthesis compared with that of the wild type. All family members carrying a heterozygous mutation CARS (E795V) had the same clinical manifestations and neuropathological changes of Parkinsonism and spinocerebellar-ataxia. These findings identify novel pathogenesis of Parkinsonism-spinocerebellar ataxia and provide insights into its genetic architecture.
Collapse
Affiliation(s)
- Han-Kui Liu
- BGI Genomics and BGI Research, Shenzhen, 518083, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Clin Lab, BGI Genomics, Shijiazhuang, 050011, China
| | - Hong-Lin Hao
- Department of Neurology, Clinical Epidemiology Unit, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Hui You
- Department of Neurology, Clinical Epidemiology Unit, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Feng Feng
- Department of Neurology, Clinical Epidemiology Unit, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Xiu-Hong Qi
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China
| | | | - Bo Hou
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | | | - Han Wang
- Department of Neurology, Clinical Epidemiology Unit, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | | | - Jian Wang
- BGI Genomics and BGI Research, Shenzhen, 518083, China
| | - Rui Wu
- Department of Pathology, Beijing Key Laboratory of Biomarker Research and Transformation for Neurodegenerative Diseases, Peking University Third Hospital, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Hui Fang
- Anhui Provincial Children's Hospital, Children's Hospital of Fudan University, Hefei, 230051, China
| | - Jiang-Ning Zhou
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China
- Institute of Brain Science, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Jian-Guo Zhang
- BGI Genomics and BGI Research, Shenzhen, 518083, China.
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Clin Lab, BGI Genomics, Shijiazhuang, 050011, China.
| | - Zhen-Xin Zhang
- Department of Neurology, Clinical Epidemiology Unit, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| |
Collapse
|
10
|
Winter PS, Ramseier ML, Navia AW, Saksena S, Strouf H, Senhaji N, DenAdel A, Mirza M, An HH, Bilal L, Dennis P, Leahy CS, Shigemori K, Galves-Reyes J, Zhang Y, Powers F, Mulugeta N, Gupta AJ, Calistri N, Van Scoyk A, Jones K, Liu H, Stevenson KE, Ren S, Luskin MR, Couturier CP, Amini AP, Raghavan S, Kimmerling RJ, Stevens MM, Crawford L, Weinstock DM, Manalis SR, Shalek AK, Murakami MA. Mutation and cell state compatibility is required and targetable in Ph+ acute lymphoblastic leukemia minimal residual disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.06.597767. [PMID: 38915726 PMCID: PMC11195125 DOI: 10.1101/2024.06.06.597767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Efforts to cure BCR::ABL1 B cell acute lymphoblastic leukemia (Ph+ ALL) solely through inhibition of ABL1 kinase activity have thus far been insufficient despite the availability of tyrosine kinase inhibitors (TKIs) with broad activity against resistance mutants. The mechanisms that drive persistence within minimal residual disease (MRD) remain poorly understood and therefore untargeted. Utilizing 13 patient-derived xenograft (PDX) models and clinical trial specimens of Ph+ ALL, we examined how genetic and transcriptional features co-evolve to drive progression during prolonged TKI response. Our work reveals a landscape of cooperative mutational and transcriptional escape mechanisms that differ from those causing resistance to first generation TKIs. By analyzing MRD during remission, we show that the same resistance mutation can either increase or decrease cellular fitness depending on transcriptional state. We further demonstrate that directly targeting transcriptional state-associated vulnerabilities at MRD can overcome BCR::ABL1 independence, suggesting a new paradigm for rationally eradicating MRD prior to relapse. Finally, we illustrate how cell mass measurements of leukemia cells can be used to rapidly monitor dominant transcriptional features of Ph+ ALL to help rationally guide therapeutic selection from low-input samples.
Collapse
Affiliation(s)
- Peter S. Winter
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
- Institute for Medical Engineering & Science, MIT, Cambridge, MA, USA
- Department of Chemistry, MIT, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Michelle L. Ramseier
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
- Institute for Medical Engineering & Science, MIT, Cambridge, MA, USA
- Department of Chemistry, MIT, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Andrew W. Navia
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
- Institute for Medical Engineering & Science, MIT, Cambridge, MA, USA
- Department of Chemistry, MIT, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Sachit Saksena
- Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
- Computational and Systems Biology Program, MIT, Cambridge, MA, USA
| | - Haley Strouf
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
| | - Nezha Senhaji
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Alan DenAdel
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
- Department of Biostatistics, Brown University, Providence, RI, USA
| | - Mahnoor Mirza
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
| | - Hyun Hwan An
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Laura Bilal
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
| | - Peter Dennis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Catharine S. Leahy
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kay Shigemori
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Jennyfer Galves-Reyes
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
- Institute for Medical Engineering & Science, MIT, Cambridge, MA, USA
- Department of Chemistry, MIT, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Ye Zhang
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
- Department of Biological Engineering, MIT, Cambridge, MA, USA
| | - Foster Powers
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Nolawit Mulugeta
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
- Institute for Medical Engineering & Science, MIT, Cambridge, MA, USA
- Department of Chemistry, MIT, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | | | - Nicholas Calistri
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
| | - Alex Van Scoyk
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kristen Jones
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Huiyun Liu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Siyang Ren
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA USA
| | - Marlise R. Luskin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Charles P. Couturier
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
- Institute for Medical Engineering & Science, MIT, Cambridge, MA, USA
- Department of Chemistry, MIT, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | | | - Srivatsan Raghavan
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | | | - Mark M. Stevens
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
| | - Lorin Crawford
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
- Department of Biostatistics, Brown University, Providence, RI, USA
- Microsoft Research, Cambridge, MA, USA
| | - David M. Weinstock
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Current Address: Merck and Co., Rahway, NJ, USA
| | - Scott R. Manalis
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, MIT, Cambridge, MA, USA
| | - Alex K. Shalek
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
- Institute for Medical Engineering & Science, MIT, Cambridge, MA, USA
- Department of Chemistry, MIT, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Mark A. Murakami
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| |
Collapse
|
11
|
Wang XG, Shen MM, Lu J, Dou TC, Ma M, Guo J, Wang KH, Qu L. Genome-wide association analysis of eggshell color of an F2 generation population reveals candidate genes in chickens. Animal 2024; 18:101167. [PMID: 38762993 DOI: 10.1016/j.animal.2024.101167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 04/11/2024] [Accepted: 04/12/2024] [Indexed: 05/21/2024] Open
Abstract
Eggshell color is an important visual characteristic that affects consumer preferences for eggs. Eggshell color, which has moderate to high heritability, can be effectively enhanced through molecular marker selection. Various studies have been conducted on eggshell color at specific time points. However, few longitudinal data are available on eggshell color. Therefore, the objective of this study was to investigate eggshell color using the Commission International de L'Eclairage L*a*b* system with multiple measurements at different ages (age at the first egg and at 32, 36, 40, 44, 48, 52, 56, 60, 66, and 72 weeks) within the same individuals from an F2 resource population produced by crossing White Leghorn and Dongxiang Blue chicken. Using an Affymetrix 600 single nucleotide polymorphism (SNP) array, we estimated the genetic parameters of the eggshell color trait, performed genome-wide association studies (GWASs), and screened for the potential candidate genes. The results showed that pink-shelled eggs displayed a significant negative correlation between L* values and both a* and b* values. Genetic heritability based on SNPs showed that the heritability of L*, a*, and b* values ranged from 0.32 to 0.82 for pink-shelled eggs, indicating a moderate to high level of genetic control. The genetic correlations at each time point were mostly above 0.5. The major-effect regions affecting the pink eggshell color were identified in the 10.3-13.0 Mb interval on Gallus gallus chromosome 20, and candidate genes were selected, including SLC35C2, PCIF1, and SLC12A5. Minor effect polygenic regions were identified on chromosomes 1, 6, 9, 12, and 15, revealing 11 candidate genes, including MTMR3 and SLC35E4. Members of the solute carrier family play an important role in influencing eggshell color. Overall, our findings provide valuable insights into the phenotypic and genetic aspects underlying the variation in eggshell color. Using GWAS analysis, we identified multiple quantitative trait loci (QTLs) for pink eggshell color, including a major QTL on chromosome 20. Genetic variants associated with eggshell color may be used in genomic breeding programs.
Collapse
Affiliation(s)
- X G Wang
- Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - M M Shen
- Jiangsu Key Laboratory of Sericultural and Animal Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang 212100, China
| | - J Lu
- Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - T C Dou
- Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - M Ma
- Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - J Guo
- Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - K H Wang
- Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - L Qu
- Jiangsu Institute of Poultry Science, Yangzhou 225125, China.
| |
Collapse
|
12
|
Banerjee A, Datta Kanjilal S, Biswas T, Ghoshal A, Sarkar S. Congenital myasthenic syndrome: a tale of two siblings. Int J Neurosci 2024; 134:253-255. [PMID: 36018836 DOI: 10.1080/00207454.2022.2100774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/29/2022] [Accepted: 06/30/2022] [Indexed: 10/15/2022]
Abstract
Congenital myasthenic syndromes are a group of rare neuromuscular junction disorders. Traditional anticholinesterase inhibitors may not help in congenital myasthenic syndromes and in some variants may actually cause deterioration of symptoms. In this report, we describe a rare case of congenital myasthenic syndrome with heterozygous mutations in CHRNE gene (c.128A > T; heterozygous; exon 11) and COLQ gene (c.1201T > A; heterozygous; exon 16), which did not show improvement on neostigmine test but responded to treatment with oral salbutamol.
Collapse
Affiliation(s)
- Ahitagni Banerjee
- Department of Pediatrics, Institute of Post Graduate Medical Education and Research, Kolkata, India
| | - Sumana Datta Kanjilal
- Department of Pediatrics, Institute of Post Graduate Medical Education and Research, Kolkata, India
| | - Tamoghna Biswas
- Department of Pediatrics, Institute of Post Graduate Medical Education and Research, Kolkata, India
| | - Arnab Ghoshal
- Department of Pediatrics, Institute of Post Graduate Medical Education and Research, Kolkata, India
| | - Sumit Sarkar
- Department of Pediatrics, Institute of Post Graduate Medical Education and Research, Kolkata, India
| |
Collapse
|
13
|
Wang H, Guan L, Ma X, Wang Y, Wang J, Zhang P, Deng M. Whole-Genome Sequencing Identified a Novel Mutation in the N-Terminal Domain of KIF5A in Chinese Patients with Familial Amyotrophic Lateral Sclerosis. Genes (Basel) 2024; 15:680. [PMID: 38927616 PMCID: PMC11203265 DOI: 10.3390/genes15060680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/28/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disorder characterized by progressive damage to both upper and lower motor neurons. Genetic factors are known to play a crucial role in ALS, as genetic studies not only advance our comprehension of disease mechanisms but also help unravel the complex phenotypes exhibited by patients. To gain further insights into the genetic landscape of ALS in the Chinese population and explore genotype-phenotype correlations among individuals, we conducted whole-genome sequencing to screen genes in 34 Chinese familial ALS (FALS) probands lacking the most common ALS-associated genes. Within this cohort, we identified a rare heterozygous missense mutation in the N-terminal domain of KIF5A (c.86A>G) in one of the probands. This finding is significant as mutations in the KIF5A gene have been implicated in ALS in European cohorts since 2018, predominantly characterized by C-terminal mutations. Analysis of the clinical phenotype within this familial lineage revealed a delayed onset of symptoms, an extended survival duration, and initial manifestations in both upper limbs. These observations underscore the clinical heterogeneity observed in ALS patients harboring KIF5A mutations. In conclusion, our study contributes to the growing body of evidence linking KIF5A to ALS and enhances our understanding of the intricate genetic landscape of this disease.
Collapse
Affiliation(s)
- Hui Wang
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China (J.W.)
| | - Liping Guan
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 1550 Copenhagen, Denmark
| | - Xiaojuan Ma
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China (J.W.)
| | - Yiying Wang
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China (J.W.)
| | - Jinhao Wang
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China (J.W.)
| | - Peipei Zhang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Min Deng
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China (J.W.)
| |
Collapse
|
14
|
Eken JA, Koning MT, Kupcova K, Sepúlveda Yáñez JH, de Groen RA, Quinten E, Janssen J, van Bergen CA, Vermaat JS, Cleven A, Navarrete MA, Ylstra B, de Jong D, Havranek O, Jumaa H, Veelken H. Antigen-independent, autonomous B cell receptor signaling drives activated B cell DLBCL. J Exp Med 2024; 221:e20230941. [PMID: 38512136 PMCID: PMC10959178 DOI: 10.1084/jem.20230941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 01/29/2024] [Accepted: 03/04/2024] [Indexed: 03/22/2024] Open
Abstract
Diffuse large B cell lymphoma of activated B cell type (ABC-DLBCL), a major cell-of-origin DLBCL subtype, is characterized by chronic active B cell receptor (BCR) signaling and NF-κB activation, which can be explained by activating mutations of the BCR signaling cascade in a minority of cases. We demonstrate that autonomous BCR signaling, akin to its essential pathogenetic role in chronic lymphocytic leukemia (CLL), can explain chronic active BCR signaling in ABC-DLBCL. 13 of 18 tested DLBCL-derived BCR, including 12 cases selected for expression of IgM, induced spontaneous calcium flux and increased phosphorylation of the BCR signaling cascade in murine triple knockout pre-B cells without antigenic stimulation or external BCR crosslinking. Autonomous BCR signaling was associated with IgM isotype, dependent on somatic BCR mutations and individual HCDR3 sequences, and largely restricted to non-GCB DLBCL. Autonomous BCR signaling represents a novel immunological oncogenic driver mechanism in DLBCL originating from individual BCR sequences and adds a new dimension to currently proposed genetics- and transcriptomics-based DLBCL classifications.
Collapse
Affiliation(s)
- Janneke A. Eken
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - Marvyn T. Koning
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - Kristyna Kupcova
- BIOCEV, First Faculty of Medicine, Charles University, Prague, Czech Republic
- First Department of Internal Medicine—Hematology, General University Hospital and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Julieta H. Sepúlveda Yáñez
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
- School of Medicine, Universidad de Magallanes, Punta Arenas, Chile
| | - Ruben A.L. de Groen
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - Edwin Quinten
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - Jurriaan Janssen
- Department of Pathology, Amsterdam University Medical Center, Amsterdam, Netherlands
| | | | - Joost S.P. Vermaat
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - Arjen Cleven
- Department of Pathology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Bauke Ylstra
- Department of Pathology, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Daphne de Jong
- Department of Pathology, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Ondrej Havranek
- BIOCEV, First Faculty of Medicine, Charles University, Prague, Czech Republic
- First Department of Internal Medicine—Hematology, General University Hospital and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Hassan Jumaa
- Institute of Immunology, University of Ulm, Ulm, Germany
| | - Hendrik Veelken
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| |
Collapse
|
15
|
Ma X, Ying F, Li Z, Bai L, Wang M, Zhu D, Liu D, Wen J, Zhao G, Liu R. New insights into the genetic loci related to egg weight and age at first egg traits in broiler breeder. Poult Sci 2024; 103:103613. [PMID: 38492250 PMCID: PMC10959720 DOI: 10.1016/j.psj.2024.103613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/29/2024] [Accepted: 02/29/2024] [Indexed: 03/18/2024] Open
Abstract
Egg weight (EW) and age at first egg (AFE) are economically important traits in breeder chicken production. The genetic basis of these traits, however, is far from understood, especially for broiler breeders. In this study, genetic parameter estimation, genome-wide association analysis, meta-analysis, and selective sweep analysis were carried out to identify genetic loci associated with EW and AFE in 6,842 broiler breeders. The study found that the heritability of EW ranged from 0.42 to 0.44, while the heritability of AFE was estimated at 0.33 in the maternal line. Meta-analysis and selective sweep analysis identified two colocalized regions on GGA4 that significantly influenced EW at 32 wk (EW32W) and at 43 wk (EW43W) with both paternal and maternal lines. The genes AR, YIPF6, and STARD8 were located within the significant region (GGA4: 366.86-575.50 kb), potentially affecting EW through the regulation of follicle development, cell proliferation, and lipid transfer etc. The promising genes LCORL and NCAPG were positioned within the significant region (GGA4:75.35-75.42 Mb), potentially influencing EW through pleiotropic effects on growth and development. Additionally, 3 significant regions were associated with AFE on chromosomes GGA7, GGA19, and GGA27. All of these factors affected the AFE by influencing ovarian development. In our study, the genomic information from both paternal and maternal lines was used to identify genetic regions associated with EW and AFE. Two genomic regions and eight genes were identified as the most likely candidates affecting EW and AFE. These findings contribute to a better understanding of the genetic basis of egg production traits in broiler breeders and provide new insights into future technology development.
Collapse
Affiliation(s)
- Xiaochun Ma
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Fan Ying
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan 528515, China
| | - Zhengda Li
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Lu Bai
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Mengjie Wang
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Dan Zhu
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan 528515, China
| | - Dawei Liu
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan 528515, China
| | - Jie Wen
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Guiping Zhao
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ranran Liu
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| |
Collapse
|
16
|
Vieira JIG, Braga LG, Chud TCS, Ferreira PH, Guimarães SEF, Martins MF, do Carmo Panetto JC, Machado MA, Silva DBDS, Bonafé CM, Magalhães AFB, da Silva MVGB, Verardo LL. Resequencing of Brazilian locally adapted cattle breeds revealed variants in candidate genes and transcription factors for meat fatty acid profile. J Anim Breed Genet 2024. [PMID: 38686591 DOI: 10.1111/jbg.12869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 04/15/2024] [Accepted: 04/19/2024] [Indexed: 05/02/2024]
Abstract
The beef cattle industry has experienced a shift driven by a market demand for healthier meat, cost efficiency and environmental sustainability in recent years. Consequently, there has been a growing focus on the fatty acids content and functions of meat in cattle breeding programmes. Besides, a deeper understanding of the biological mechanisms influencing the expression of different phenotypes related to fatty acid profiles is crucial. In this study, we aimed to identify Single-Nucleotide Variants (SNV) and Insertion/Deletion (InDels) DNA variants in candidate genes related to fatty acid profiles described in genomic, transcriptomic and proteomic studies conducted in beef cattle breeds. Utilizing whole-genome re-sequencing data from Brazilian locally adapted bovine breeds, namely Caracu and Pantaneiro, we identified SNVs and InDels associated with 23,947 genes. From these, we identified 318 candidate genes related to fatty acid profiles that contain variants. Subsequently, we select only genes with SNVs and InDels in their promoter, 5' UTR and coding region. Through the gene-biological process network, approximately 19 genes were highlighted. Furthermore, considering the studied trait and a literature review, we selected the main transcription factors (TF). Functional analysis via gene-TF network allowed us to identify the 30 most likely candidate genes for meat fatty acid profile in cattle. LIPE, MFSD2A and SREBF1 genes were highlighted in networks due to their biological importance. Further dissection of these genes revealed 15 new variants found in promoter regions of Caracu and Pantaneiro sequences. The gene networks facilitated a better functional understanding of genes and TF, enabling the identification of variants potentially related to the expression of candidate genes for meat fatty acid profiles in cattle.
Collapse
Affiliation(s)
| | - Larissa Graciano Braga
- Departamento de Engenharia e Ciências Exatas, Universidade Estadual Paulista, São Paulo, Brazil
| | | | | | | | | | | | | | | | | | | | | | - Lucas Lima Verardo
- Universidade Federal dos Vales Do Jequitinhonha e Mucuri, Diamantina, Minas Gerais, Brazil
| |
Collapse
|
17
|
Larkin J, Marais R, Porta N, Gonzalez de Castro D, Parsons L, Messiou C, Stamp G, Thompson L, Edmonds K, Sarker S, Banerji J, Lorigan P, Evans TRJ, Corrie P, Marshall E, Middleton MR, Nathan P, Nicholson S, Ottensmeier C, Plummer R, Bliss J, Valpione S, Turajlic S. Nilotinib in KIT-driven advanced melanoma: Results from the phase II single-arm NICAM trial. Cell Rep Med 2024; 5:101435. [PMID: 38417447 PMCID: PMC10982988 DOI: 10.1016/j.xcrm.2024.101435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 12/01/2023] [Accepted: 01/26/2024] [Indexed: 03/01/2024]
Abstract
Mucosal (MM) and acral melanomas (AM) are rare melanoma subtypes of unmet clinical need; 15%-20% harbor KIT mutations potentially targeted by small-molecule inhibitors, but none yet approved in melanoma. This multicenter, single-arm Phase II trial (NICAM) investigates nilotinib safety and activity in KIT mutated metastatic MM and AM. KIT mutations are identified in 39/219 screened patients (18%); of 29/39 treated, 26 are evaluable for primary analysis. Six patients were alive and progression free at 6 months (local radiology review, 25%); 5/26 (19%) had objective response at 12 weeks; median OS was 7.7 months; ddPCR assay correctly identifies KIT alterations in circulating tumor DNA (ctDNA) in 16/17 patients. Nilotinib is active in KIT-mutant AM and MM, comparable to other KIT inhibitors, with demonstrable activity in nonhotspot KIT mutations, supporting broadening of KIT evaluation in AM and MM. Our results endorse further investigations of nilotinib for the treatment of KIT-mutated melanoma. This clinical trial was registered with ISRCTN (ISRCTN39058880) and EudraCT (2009-012945-49).
Collapse
Affiliation(s)
- James Larkin
- Skin and Renal Units, The Royal Marsden Hospital NHS Foundation Trust, London, UK; Melanoma and Kidney Cancer Team, The Institute of Cancer Research, London, UK
| | - Richard Marais
- Cancer Research UK Manchester Institute, The University of Manchester, Manchester, UK
| | - Nuria Porta
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK
| | - David Gonzalez de Castro
- Molecular Diagnostics, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK
| | - Lisa Parsons
- University of Edinburgh, Edinburgh, UK; PDD - Thermo Fisher Scientific, Bend, Oregon, USA
| | - Christina Messiou
- Department of Radiology, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Gordon Stamp
- Department of Histopathology, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Lisa Thompson
- Centre for Molecular Pathology, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Kim Edmonds
- Skin and Renal Units, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Sarah Sarker
- Skin and Renal Units, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Jane Banerji
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK
| | - Paul Lorigan
- Division of Cancer Sciences, Unviersity of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| | | | - Pippa Corrie
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Ernest Marshall
- The Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, UK
| | | | - Paul Nathan
- Mount Vernon Cancer Centre, East & North Herts NHS Trust, Northwood, UK
| | - Steve Nicholson
- University Hospitals of Leicester NHS Foundation Trust, Leicester, UK
| | | | - Ruth Plummer
- Newcastle University and Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK
| | - Judith Bliss
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK
| | - Sara Valpione
- Cancer Research UK Manchester Institute, The University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK.
| | - Samra Turajlic
- Skin and Renal Units, The Royal Marsden Hospital NHS Foundation Trust, London, UK; Melanoma and Kidney Cancer Team, The Institute of Cancer Research, London, UK; Cancer Dynamics Laboratory, The Francis Crick Institute, London, UK.
| |
Collapse
|
18
|
Leon-Apodaca AV, Kumar M, del Castillo A, Conroy GC, Lamont RW, Ogbourne S, Cairns KM, Borburgh L, Behrendorff L, Subramanian S, Szpiech ZA. Genomic consequences of isolation and inbreeding in an island dingo population. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.09.15.557950. [PMID: 37745583 PMCID: PMC10516007 DOI: 10.1101/2023.09.15.557950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Dingoes come from an ancient canid lineage that originated in East Asia around 8000-11,000 years BP. As Australia's largest terrestrial predator, dingoes play an important ecological role. A small, protected population exists on a world heritage listed offshore island, K'gari (formerly Fraser Island). Concern regarding the persistence of dingoes on K'gari has risen due to their low genetic diversity and elevated inbreeding levels. However, whole-genome sequencing data is lacking from this population. Here, we include five new whole-genome sequences of K'gari dingoes. We analyze a total of 18 whole genome sequences of dingoes sampled from mainland Australia and K'gari to assess the genomic consequences of their demographic histories. Long (>1 Mb) runs of homozygosity (ROH) - indicators of inbreeding - are elevated in all sampled dingoes. However, K'gari dingoes showed significantly higher levels of very long ROH (>5 Mb), providing genomic evidence for small population size, isolation, inbreeding, and a strong founder effect. Our results suggest that, despite current levels of inbreeding, the K'gari population is purging strongly deleterious mutations, which, in the absence of further reductions in population size, may facilitate the persistence of small populations despite low genetic diversity and isolation. However, there may be little to no purging of mildly deleterious alleles, which may have important long-term consequences, and should be considered by conservation and management programs.
Collapse
Affiliation(s)
| | - Manoharan Kumar
- School of Science, Technology & Engineering, University of the Sunshine Coast, 1 Moreton Parade, Petrie, Queensland, Australia
| | | | - Gabriel C. Conroy
- School of Science, Technology & Engineering, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
- Centre for Bioinnovation, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Robert W Lamont
- School of Science, Technology & Engineering, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
- Centre for Bioinnovation, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Steven Ogbourne
- Centre for Bioinnovation, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Kylie M. Cairns
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Australia, Sydney NSW 2052, Australia
- Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, UNSW Australia, Sydney NSW 2052, Australia
| | - Liz Borburgh
- School of Science, Technology & Engineering, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Linda Behrendorff
- Queensland Parks and Wildlife Service, Department of Environment & Science, K’gari, Australia
| | - Sankar Subramanian
- School of Science, Technology & Engineering, University of the Sunshine Coast, 1 Moreton Parade, Petrie, Queensland, Australia
- Centre for Bioinnovation, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Zachary A. Szpiech
- Department of Biology, Pennsylvania State University, PA, USA
- Institute for Computational and Data Sciences, Pennsylvania State University, PA, USA
| |
Collapse
|
19
|
Kim KH, Migliozzi S, Koo H, Hong JH, Park SM, Kim S, Kwon HJ, Ha S, Garofano L, Oh YT, D'Angelo F, Kim CI, Kim S, Lee JY, Kim J, Hong J, Jang EH, Mathon B, Di Stefano AL, Bielle F, Laurenge A, Nesvizhskii AI, Hur EM, Yin J, Shi B, Kim Y, Moon KS, Kwon JT, Lee SH, Lee SH, Gwak HS, Lasorella A, Yoo H, Sanson M, Sa JK, Park CK, Nam DH, Iavarone A, Park JB. Integrated proteogenomic characterization of glioblastoma evolution. Cancer Cell 2024; 42:358-377.e8. [PMID: 38215747 PMCID: PMC10939876 DOI: 10.1016/j.ccell.2023.12.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 07/11/2023] [Accepted: 12/14/2023] [Indexed: 01/14/2024]
Abstract
The evolutionary trajectory of glioblastoma (GBM) is a multifaceted biological process that extends beyond genetic alterations alone. Here, we perform an integrative proteogenomic analysis of 123 longitudinal glioblastoma pairs and identify a highly proliferative cellular state at diagnosis and replacement by activation of neuronal transition and synaptogenic pathways in recurrent tumors. Proteomic and phosphoproteomic analyses reveal that the molecular transition to neuronal state at recurrence is marked by post-translational activation of the wingless-related integration site (WNT)/ planar cell polarity (PCP) signaling pathway and BRAF protein kinase. Consistently, multi-omic analysis of patient-derived xenograft (PDX) models mirror similar patterns of evolutionary trajectory. Inhibition of B-raf proto-oncogene (BRAF) kinase impairs both neuronal transition and migration capability of recurrent tumor cells, phenotypic hallmarks of post-therapy progression. Combinatorial treatment of temozolomide (TMZ) with BRAF inhibitor, vemurafenib, significantly extends the survival of PDX models. This study provides comprehensive insights into the biological mechanisms of glioblastoma evolution and treatment resistance, highlighting promising therapeutic strategies for clinical intervention.
Collapse
Affiliation(s)
- Kyung-Hee Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea; Proteomics Core Facility, Research Core Center, Research Institute, National Cancer Center, Goyang, Korea
| | - Simona Migliozzi
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Harim Koo
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Korea; Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Jun-Hee Hong
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Seung Min Park
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Sooheon Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Hyung Joon Kwon
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Seokjun Ha
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Luciano Garofano
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Young Taek Oh
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Fulvio D'Angelo
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Chan Il Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Seongsoo Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Ji Yoon Lee
- Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Korea; Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Jiwon Kim
- Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Korea; Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Jisoo Hong
- Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Korea; Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Eun-Hae Jang
- Laboratory of Neuroscience, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, Korea
| | - Bertrand Mathon
- Service de Neurochirurgie, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Paris, France
| | - Anna-Luisa Di Stefano
- Institut de Neurologie, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Paris, France; Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Equipe labellisée LNCC, Paris, France; Onconeurotek, AP-HP, Hôpital Pitié-Salpêtrière, F-75013 Paris, France; Department of Neurology, Foch Hospital, Suresnes, France
| | - Franck Bielle
- Institut de Neurologie, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Paris, France; Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Equipe labellisée LNCC, Paris, France; Onconeurotek, AP-HP, Hôpital Pitié-Salpêtrière, F-75013 Paris, France
| | - Alice Laurenge
- Institut de Neurologie, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Paris, France; Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Equipe labellisée LNCC, Paris, France; Onconeurotek, AP-HP, Hôpital Pitié-Salpêtrière, F-75013 Paris, France
| | | | - Eun-Mi Hur
- Laboratory of Neuroscience, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, Korea; BK21 Four Future Veterinary Medicine Leading Education & Research Center, College of Veterinary Medicine, Seoul National University, Seoul, Korea
| | - Jinlong Yin
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea; Henan-Macquarie University Joint Centre for Biomedical Innovation, School of Life Sciences, Henan University, Kaifeng, Henan, China
| | - Bingyang Shi
- Henan-Macquarie University Joint Centre for Biomedical Innovation, School of Life Sciences, Henan University, Kaifeng, Henan, China
| | - Youngwook Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Kyung-Sub Moon
- Department of Neurosurgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, Korea
| | - Jeong Taik Kwon
- Department of Neurosurgery, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
| | - Shin Heon Lee
- Department of Neurosurgery, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
| | - Seung Hoon Lee
- Department of Neurosurgery, Eulji University School of Medicine, Daejeon, Korea
| | - Ho Shin Gwak
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Anna Lasorella
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA; Department of Biochemistry, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Heon Yoo
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Marc Sanson
- Institut de Neurologie, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Paris, France; Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Equipe labellisée LNCC, Paris, France; Onconeurotek, AP-HP, Hôpital Pitié-Salpêtrière, F-75013 Paris, France.
| | - Jason K Sa
- Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Korea; Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea.
| | - Chul-Kee Park
- Deparment of Neurosurgery, Seoul National University College of Medicine, Seoul, Korea.
| | - Do-Hyun Nam
- Department of Neurosurgery and Samsung Advanced Institute for Health Sciences and Technology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
| | - Antonio Iavarone
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA; Department of Neurological Surgery and Department of Biochemistry, University of Miami Miller School of Medicine, Miami, FL, USA.
| | - Jong Bae Park
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea; Department of Clinical Research, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
| |
Collapse
|
20
|
Nair LS, Nurul Jain JM, Dalal A, Ranganath P. Etiologic Spectrum of Pediatric-Onset Leukodystrophies and Genetic Leukoencephalopathies: The Five-Year Experience of a Tertiary Care Center in Southern India. Pediatr Neurol 2024; 152:130-152. [PMID: 38277958 DOI: 10.1016/j.pediatrneurol.2023.12.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 07/28/2023] [Accepted: 12/29/2023] [Indexed: 01/28/2024]
Abstract
BACKGROUND White matter (WM) disorders with a genetic etiology are classified as leukodystrophies (LDs) and genetic leukoencephalopathies (GLEs). There are very few studies pertaining to the etiologic spectrum of these disorders in the Asian Indian population. METHODS This study was conducted over a period of five years from January 2016 to December 2020, in the medical genetics department of a tertiary care hospital in southern India. A total of 107 patients up to age 18 years, with a diagnosis of a genetic WM disorder confirmed by molecular genetic testing and/or metabolic testing, were included in the study and categorized into LD or GLE group as per the classification suggested by the Global Leukodystrophy Initiative consortium in 2015. RESULTS Forty-one patients were diagnosed to have LDs, and 66 patients had GLEs. The two most common LDs were metachromatic LD (16 patients) and X-linked adrenoleukodystrophy (seven patients). In the GLE group, lysosomal storage disorders were the most common (40 patients) followed by mitochondrial disorders (nine patients), with other metabolic disorders and miscellaneous conditions making up the rest. The clinical presentations, neuroimaging findings, and mutation spectrum of the patients in our cohort are discussed. CONCLUSIONS This is one of the largest cohorts of genetic WM disorders reported till date from the Asian Indian population. The etiologies and clinical presentations identified in our study cohort are similar to those found in other Indian studies as well as in studies based on other populations from different parts of the world.
Collapse
Affiliation(s)
- Lekshmi S Nair
- Senior Resident, Department of Medical Genetics, Nizam's Institute of Medical Sciences, Hyderabad, Telangana, India
| | - Jamal Mohammed Nurul Jain
- Technical Officer, Diagnostics Division, Centre for DNA Fingerprinting and Diagnostics, Hyderabad, Telangana, India
| | - Ashwin Dalal
- Head, Diagnostics Division, Centre for DNA Fingerprinting and Diagnostics, Hyderabad, Telangana, India
| | - Prajnya Ranganath
- Additional Professor and Head, Department of Medical Genetics, Nizam's Institute of Medical Sciences, Hyderabad, Telangana, India; Adjunct Scientist, Diagnostics Division, Centre for DNA Fingerprinting and Diagnostics, Hyderabad, Telangana, India.
| |
Collapse
|
21
|
Bull CJ, Hazelwood E, Legge DN, Corbin LJ, Richardson TG, Lee M, Yarmolinsky J, Smith-Byrne K, Hughes DA, Johansson M, Peters U, Berndt SI, Brenner H, Burnett-Hartman A, Cheng I, Kweon SS, Le Marchand L, Li L, Newcomb PA, Pearlman R, McConnachie A, Welsh P, Taylor R, Lean MEJ, Sattar N, Murphy N, Gunter MJ, Timpson NJ, Vincent EE. Impact of weight loss on cancer-related proteins in serum: results from a cluster randomised controlled trial of individuals with type 2 diabetes. EBioMedicine 2024; 100:104977. [PMID: 38290287 PMCID: PMC10844806 DOI: 10.1016/j.ebiom.2024.104977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 01/03/2024] [Accepted: 01/06/2024] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Type 2 diabetes is associated with higher risk of several cancer types. However, the biological intermediates driving this relationship are not fully understood. As novel interventions for treating and managing type 2 diabetes become increasingly available, whether they also disrupt the pathways leading to increased cancer risk is currently unknown. We investigated the effect of a type 2 diabetes intervention, in the form of intentional weight loss, on circulating proteins associated with cancer risk to gain insight into potential mechanisms linking type 2 diabetes and adiposity with cancer development. METHODS Fasting serum samples from participants with diabetes enrolled in the Diabetes Remission Clinical Trial (DiRECT) receiving the Counterweight-Plus weight-loss programme (intervention, N = 117, mean weight-loss 10 kg, 46% diabetes remission) or best-practice care by guidelines (control, N = 143, mean weight-loss 1 kg, 4% diabetes remission) were subject to proteomic analysis using the Olink Oncology-II platform (48% of participants were female; 52% male). To identify proteins which may be altered by the weight-loss intervention, the difference in protein levels between groups at baseline and 1 year was examined using linear regression. Mendelian randomization (MR) was performed to extend these results to evaluate cancer risk and elucidate possible biological mechanisms linking type 2 diabetes and cancer development. MR analyses were conducted using independent datasets, including large cancer meta-analyses, UK Biobank, and FinnGen, to estimate potential causal relationships between proteins modified during intentional weight loss and the risk of colorectal, breast, endometrial, gallbladder, liver, and pancreatic cancers. FINDINGS Nine proteins were modified by the intervention: glycoprotein Nmb; furin; Wnt inhibitory factor 1; toll-like receptor 3; pancreatic prohormone; erb-b2 receptor tyrosine kinase 2; hepatocyte growth factor; endothelial cell specific molecule 1 and Ret proto-oncogene (Holm corrected P-value <0.05). Mendelian randomization analyses indicated a causal relationship between predicted circulating furin and glycoprotein Nmb on breast cancer risk (odds ratio (OR) = 0.81, 95% confidence interval (CI) = 0.67-0.99, P-value = 0.03; and OR = 0.88, 95% CI = 0.78-0.99, P-value = 0.04 respectively), though these results were not supported in sensitivity analyses examining violations of MR assumptions. INTERPRETATION Intentional weight loss among individuals with recently diagnosed diabetes may modify levels of cancer-related proteins in serum. Further evaluation of the proteins identified in this analysis could reveal molecular pathways that mediate the effect of adiposity and type 2 diabetes on cancer risk. FUNDING The main sources of funding for this work were Diabetes UK, Cancer Research UK, World Cancer Research Fund, and Wellcome.
Collapse
Affiliation(s)
- Caroline J Bull
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; School of Translational Health Sciences, Dorothy Hodgkin Building, University of Bristol, Bristol, UK
| | - Emma Hazelwood
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Danny N Legge
- School of Translational Health Sciences, Dorothy Hodgkin Building, University of Bristol, Bristol, UK
| | - Laura J Corbin
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tom G Richardson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew Lee
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, WHO, Lyon, France
| | - James Yarmolinsky
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Karl Smith-Byrne
- Cancer Epidemiology Unit, Oxford Population Health, University of Oxford, UK
| | - David A Hughes
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Mattias Johansson
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, WHO, Lyon, France
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea; Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | | | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; School of Public Health, University of Washington, Seattle, WA, USA
| | - Rachel Pearlman
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Alex McConnachie
- Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Paul Welsh
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Roy Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Mike E J Lean
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Neil Murphy
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, WHO, Lyon, France
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, WHO, Lyon, France; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emma E Vincent
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; School of Translational Health Sciences, Dorothy Hodgkin Building, University of Bristol, Bristol, UK.
| |
Collapse
|
22
|
Banks E, Francis V, Lin SJ, Kharfallah F, Fonov V, Levesque M, Han C, Kulasekaran G, Tuznik M, Bayati A, Al-Khater R, Alkuraya FS, Argyriou L, Babaei M, Bahlo M, Bakhshoodeh B, Barr E, Bartik L, Bassiony M, Bertrand M, Braun D, Buchert R, Budetta M, Cadieux-Dion M, Calame D, Cope H, Cushing D, Efthymiou S, Elmaksoud MA, El Said HG, Froukh T, Gill HK, Gleeson JG, Gogoll L, Goh ESY, Gowda VK, Haack TB, Hashem MO, Hauser S, Hoffman TL, Hogue JS, Hosokawa A, Houlden H, Huang K, Huynh S, Karimiani EG, Kaulfuß S, Korenke GC, Kritzer A, Lee H, Lupski JR, Marco EJ, McWalter K, Minassian A, Minassian BA, Murphy D, Neira-Fresneda J, Northrup H, Nyaga D, Oehl-Jaschkowitz B, Osmond M, Person R, Pehlivan D, Petree C, Sadleir LG, Saunders C, Schoels L, Shashi V, Spillman RC, Srinivasan VM, Torbati PN, Tos T, Zaki MS, Zhou D, Zweier C, Trempe JF, Durcan TM, Gan-Or Z, Avoli M, Alves C, Varshney GK, Maroofian R, Rudko DA, McPherson PS. Loss of symmetric cell division of apical neural progenitors drives DENND5A-related developmental and epileptic encephalopathy. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2022.08.23.22278845. [PMID: 38352438 PMCID: PMC10863025 DOI: 10.1101/2022.08.23.22278845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/28/2024]
Abstract
Developmental and epileptic encephalopathies (DEEs) are a heterogenous group of epilepsies in which altered brain development leads to developmental delay and seizures, with the epileptic activity further negatively impacting neurodevelopment. Identifying the underlying cause of DEEs is essential for progress toward precision therapies. Here we describe a group of individuals with biallelic variants in DENND5A and determine that variant type is correlated with disease severity. We demonstrate that DENND5A interacts with MUPP1 and PALS1, components of the Crumbs apical polarity complex, which is required for both neural progenitor cell identity and the ability of these stem cells to divide symmetrically. Induced pluripotent stem cells lacking DENND5A fail to undergo symmetric cell division during neural induction and have an inherent propensity to differentiate into neurons, and transgenic DENND5A mice, with phenotypes like the human syndrome, have an increased number of neurons in the adult subventricular zone. Disruption of symmetric cell division following loss of DENND5A results from misalignment of the mitotic spindle in apical neural progenitors. A subset of DENND5A is localized to centrosomes, which define the spindle poles during mitosis. Cells lacking DENND5A orient away from the proliferative apical domain surrounding the ventricles, biasing daughter cells towards a more fate-committed state and ultimately shortening the period of neurogenesis. This study provides a mechanism behind DENND5A-related DEE that may be generalizable to other developmental conditions and provides variant-specific clinical information for physicians and families.
Collapse
Affiliation(s)
- Emily Banks
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
| | - Vincent Francis
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
| | - Sheng-Jia Lin
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
| | - Fares Kharfallah
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
| | - Vladimir Fonov
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
| | - Maxime Levesque
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
| | - Chanshuai Han
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
| | - Gopinath Kulasekaran
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
| | - Marius Tuznik
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
| | - Armin Bayati
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
| | - Reem Al-Khater
- Johns Hopkins Aramco Healthcare, Dhahran 34465, Saudi Arabia
| | - Fowzan S Alkuraya
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh 11211, Saudi Arabia
| | - Loukas Argyriou
- Institute of Human Genetics, University Medical Center, Göttingen 37073, Germany
| | - Meisam Babaei
- Department of Pediatrics, North Khorasan University of Medical Sciences, Bojnurd, Iran
| | - Melanie Bahlo
- Walter and Eliza Hall Institute for Medical Research, Parkville Victoria 3052, Australia
| | | | - Eileen Barr
- Emory University, Department of Human Genetics, Atlanta, GA 30322, USA
| | - Lauren Bartik
- University of Missouri-Kansas City, School of Medicine, Kansas City, MO 64108, USA
- Department of Pediatrics, Division of Clinical Genetics, Children's Mercy Hospital, Kansas City, MO 64108, USA
| | | | - Miriam Bertrand
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen 72076, Germany
| | - Dominique Braun
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Rebecca Buchert
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen 72076, Germany
| | - Mauro Budetta
- Paediatric and Child Neurology Unit, Cava de' Tirreni AOU S. Giovanni di Dio e Ruggiero d'Aragona Hospital, Salerno, Italy
| | - Maxime Cadieux-Dion
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital, Kansas City, MO 64108, USA
| | - Daniel Calame
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Texas Children's Hospital, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Heidi Cope
- Division of Medical Genetics, Department of Pediatrics, Duke University Medical Center, Durham, NC 27710, USA
| | - Donna Cushing
- Laboratory Medicine and Genetics, Trillium Health Partners, Mississauga, ON L5B 1B8, Canada
| | - Stephanie Efthymiou
- Department of Neuromuscular Diseases, University College London (UCL) Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Marwa A Elmaksoud
- Neurology Unit, Department of Pediatrics, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
| | - Huda G El Said
- Department of Family Health, High Institute of Public Health, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
| | - Tawfiq Froukh
- Department of Biotechnology and Genetic Engineering, Philadelphia University, Amman 19392, Jordan
| | - Harinder K Gill
- Provincial Medical Genetics Program at BC Women's Health Centre, Vancouver, BC V6H 3N1, Canada
| | - Joseph G Gleeson
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | - Laura Gogoll
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Elaine S-Y Goh
- Laboratory Medicine and Genetics, Trillium Health Partners, Mississauga, ON L5B 1B8, Canada
| | - Vykuntaraju K Gowda
- Department of Pediatric Neurology, Indira Gandhi Institute of Child Health, Bangalore, India
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen 72076, Germany
| | - Mais O Hashem
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh 11211, Saudi Arabia
| | - Stefan Hauser
- Center for Neurology and Hertie Institute for Clinical Brain Research, University Tübingen, Tübingen 72076, Germany
- German Center of Neurodegenerative Diseases (DZNE), Tübingen 72076, Germany
| | - Trevor L Hoffman
- Southern California Kaiser Permanente Medical Group, Department of Regional Genetics, Anaheim, CA 92806, USA
| | | | - Akimoto Hosokawa
- Department of Paediatrics and Child Health, University of Otago, Wellington, 6242, New Zealand
| | - Henry Houlden
- Department of Neuromuscular Diseases, University College London (UCL) Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Kevin Huang
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
| | - Stephanie Huynh
- Provincial Medical Genetics Program at BC Women's Health Centre, Vancouver, BC V6H 3N1, Canada
| | - Ehsan G Karimiani
- Molecular and Clinical Sciences Institute, St. George's, University of London, Cranmer Terrace, London SW17 0RE, UK
- Department of Medical Genetics, Next Generation Genetic Polyclinic, Mashhad, Iran
| | - Silke Kaulfuß
- Institute of Human Genetics, University Medical Center, Göttingen 37073, Germany
| | - G Christoph Korenke
- Department of Neuropediatrics, University Children's Hospital, Klinikum Oldenburg, Oldenburg 26133, Germany
| | - Amy Kritzer
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA 02115, USA
| | - Hane Lee
- 3billion, Inc, Seoul, South Korea
| | - James R Lupski
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Texas Children's Hospital, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | | | | | - Arakel Minassian
- Centre for Applied Genomics, Genetics, and Genome Biology, Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Berge A Minassian
- UT Southwestern Medical Center, Departments of Pediatrics and Neurology, Dallas, TX 75390, USA
| | - David Murphy
- Department of Neuromuscular Diseases, University College London (UCL) Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | | | - Hope Northrup
- Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston (UTHealth) and Children's Memorial Hermann Hospital, Houston, TX 77030, USA
| | - Denis Nyaga
- Department of Paediatrics and Child Health, University of Otago, Wellington, 6242, New Zealand
| | | | - Matthew Osmond
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa K1H 8L1, Canada
| | | | - Davut Pehlivan
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Cassidy Petree
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
| | - Lynette G Sadleir
- Department of Paediatrics and Child Health, University of Otago, Wellington, 6242, New Zealand
| | - Carol Saunders
- University of Missouri-Kansas City, School of Medicine, Kansas City, MO 64108, USA
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital, Kansas City, MO 64108, USA
- Center for Pediatric Genomic Medicine Children's Mercy - Kansas City, Missouri, USA
| | - Ludger Schoels
- Center for Neurology and Hertie Institute for Clinical Brain Research, University Tübingen, Tübingen 72076, Germany
- German Center of Neurodegenerative Diseases (DZNE), Tübingen 72076, Germany
| | - Vandana Shashi
- Division of Medical Genetics, Department of Pediatrics, Duke University Medical Center, Durham, NC 27710, USA
| | - Rebecca C Spillman
- Division of Medical Genetics, Department of Pediatrics, Duke University Medical Center, Durham, NC 27710, USA
| | | | - Paria N Torbati
- Department of Medical Genetics, Next Generation Genetic Polyclinic, Mashhad, Iran
| | - Tulay Tos
- University of Health Sciences, Zubeyde Hanim Research and Training Hospital of Women's Health and Diseases, Department of Medical Genetics, Ankara 06080, Turkey
| | - Maha S Zaki
- Human Genetics and Genome Research Division, Clinical Genetics Department, National Research Centre, Cairo, Egypt
| | - Dihong Zhou
- University of Missouri-Kansas City, School of Medicine, Kansas City, MO 64108, USA
- Department of Pediatrics, Division of Clinical Genetics, Children's Mercy Hospital, Kansas City, MO 64108, USA
| | - Christiane Zweier
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Jean-François Trempe
- Department of Pharmacology & Therapeutics and Centre de Recherche en Biologie Structurale, McGill University, Montréal, QC H3G 1Y6, Canada
| | - Thomas M Durcan
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
| | - Ziv Gan-Or
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
- Department of Human Genetics, McGill University, Montréal, QC H3A 2B4, Canada
| | - Massimo Avoli
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
| | - Cesar Alves
- Division of Neuroradiology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Guarav K Varshney
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
| | - Reza Maroofian
- Department of Neuromuscular Diseases, University College London (UCL) Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - David A Rudko
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
| | - Peter S McPherson
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
| |
Collapse
|
23
|
Bisschoff M, Smuts I, Dercksen M, Schoonen M, Vorster BC, van der Watt G, Spencer C, Naidu K, Henning F, Meldau S, McFarland R, Taylor RW, Patel K, Fassad MR, Vandrovcova J, Wanders RJA, van der Westhuizen FH. Clinical, biochemical, and genetic spectrum of MADD in a South African cohort: an ICGNMD study. Orphanet J Rare Dis 2024; 19:15. [PMID: 38221620 PMCID: PMC10789041 DOI: 10.1186/s13023-023-03014-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/20/2023] [Indexed: 01/16/2024] Open
Abstract
BACKGROUND Multiple acyl-CoA dehydrogenase deficiency (MADD) is an autosomal recessive disorder resulting from pathogenic variants in three distinct genes, with most of the variants occurring in the electron transfer flavoprotein-ubiquinone oxidoreductase gene (ETFDH). Recent evidence of potential founder variants for MADD in the South African (SA) population, initiated this extensive investigation. As part of the International Centre for Genomic Medicine in Neuromuscular Diseases study, we recruited a cohort of patients diagnosed with MADD from academic medical centres across SA over a three-year period. The aim was to extensively profile the clinical, biochemical, and genomic characteristics of MADD in this understudied population. METHODS Clinical evaluations and whole exome sequencing were conducted on each patient. Metabolic profiling was performed before and after treatment, where possible. The recessive inheritance and phase of the variants were established via segregation analyses using Sanger sequencing. Lastly, the haplotype and allele frequencies were determined for the two main variants in the four largest SA populations. RESULTS Twelve unrelated families (ten of White SA and two of mixed ethnicity) with clinically heterogeneous presentations in 14 affected individuals were observed, and five pathogenic ETFDH variants were identified. Based on disease severity and treatment response, three distinct groups emerged. The most severe and fatal presentations were associated with the homozygous c.[1067G > A];c.[1067G > A] and compound heterozygous c.[976G > C];c.[1067G > A] genotypes, causing MADD types I and I/II, respectively. These, along with three less severe compound heterozygous genotypes (c.[1067G > A];c.[1448C > T], c.[740G > T];c.[1448C > T], and c.[287dupA*];c.[1448C > T]), resulting in MADD types II/III, presented before the age of five years, depending on the time and maintenance of intervention. By contrast, the homozygous c.[1448C > T];c.[1448C > T] genotype, which causes MADD type III, presented later in life. Except for the type I, I/II and II cases, urinary metabolic markers for MADD improved/normalised following treatment with riboflavin and L-carnitine. Furthermore, genetic analyses of the most frequent variants (c.[1067G > A] and c.[1448C > T]) revealed a shared haplotype in the region of ETFDH, with SA population-specific allele frequencies of < 0.00067-0.00084%. CONCLUSIONS This study reveals the first extensive genotype-phenotype profile of a MADD patient cohort from the diverse and understudied SA population. The pathogenic variants and associated variable phenotypes were characterised, which will enable early screening, genetic counselling, and patient-specific treatment of MADD in this population.
Collapse
Affiliation(s)
- Michelle Bisschoff
- Focus area for Human Metabolomics, North-West University, Potchefstroom, South Africa
| | - Izelle Smuts
- Department of Paediatrics, Steve Biko Academic Hospital, University of Pretoria, Pretoria, South Africa
| | - Marli Dercksen
- Centre for Human Metabolomics, North-West University, Potchefstroom, South Africa
| | - Maryke Schoonen
- Focus area for Human Metabolomics, North-West University, Potchefstroom, South Africa
| | - Barend C Vorster
- Centre for Human Metabolomics, North-West University, Potchefstroom, South Africa
| | - George van der Watt
- Division of Chemical Pathology, National Health Laboratory Services, University of Cape Town, Cape Town, South Africa
| | - Careni Spencer
- Division of Human Genetics, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
| | - Kireshnee Naidu
- Division of Neurology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Franclo Henning
- Division of Neurology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Surita Meldau
- Division of Chemical Pathology, National Health Laboratory Services, University of Cape Town, Cape Town, South Africa
| | - Robert McFarland
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
- NHS Highly Specialised Service for Rare Mitochondrial Disorders, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, NE1 4LP, UK
| | - Robert W Taylor
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
- NHS Highly Specialised Service for Rare Mitochondrial Disorders, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, NE1 4LP, UK
| | - Krutik Patel
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Mahmoud R Fassad
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Jana Vandrovcova
- Centre for Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Ronald J A Wanders
- Department of Clinical Chemistry, Laboratory Genetic Metabolic Diseases, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | | |
Collapse
|
24
|
Nishadham V, Santhoshkumar R, Nashi S, Vengalil S, Bardhan M, Polavarapu K, Sanka SB, Anjanappa RM, Kulanthaivelu K, Saini J, Chickabasaviah YT, Nalini A. A Novel Mutation in Frabin (FGD4) Causing a Mild Phenotype of CMT4H in an Indian Patient. J Neuromuscul Dis 2024; 11:221-232. [PMID: 38108359 PMCID: PMC10789318 DOI: 10.3233/jnd-230042] [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] [Accepted: 10/31/2023] [Indexed: 12/19/2023]
Abstract
Charcot-Marie-Tooth disease 4H(CMT4H) is an autosomal recessive demyelinating form of CMT caused by FGD4/FRABIN mutations. CMT4H is characterized by early onset and slowly progressing motor and sensory deficits in the distal extremities, along with foot deformities. We describe a patient with CMT4H who presented with rapidly progressing flaccid quadriparesis during the postpartum period, which improved significantly with steroid therapy. Magnetic resonance imaging and ultrasonography demonstrated considerable nerve thickening with increased cross-sectional area in the peripheral nerves. A nerve biopsy revealed significant demyelination and myelin outfolding. This is the first report of an Indian patient with a novel homozygous nonsense c.1672C>T (p.Arg558Ter) mutation in the FGD4 gene, expanding the mutational and phenotypic spectrum of this disease.
Collapse
Affiliation(s)
- Vikas Nishadham
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Rashmi Santhoshkumar
- Department of Neuropathology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Saraswati Nashi
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Seena Vengalil
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Mainak Bardhan
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Kiran Polavarapu
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Sai Bhargava Sanka
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Ram Murthy Anjanappa
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Karthik Kulanthaivelu
- Department of Neurointerventional and Imaging, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Jitender Saini
- Department of Neurointerventional and Imaging, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Yasha T. Chickabasaviah
- Department of Neuropathology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Atchayaram Nalini
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| |
Collapse
|
25
|
Jones RE, Hammersley DJ, Zheng S, McGurk KA, de Marvao A, Theotokis PI, Owen R, Tayal U, Rea G, Hatipoglu S, Buchan RJ, Mach L, Curran L, Lota AS, Simard F, Reddy RK, Talukder S, Yoon WY, Vazir A, Pennell DJ, O'Regan DP, Baksi AJ, Halliday BP, Ware JS, Prasad SK. Assessing the association between genetic and phenotypic features of dilated cardiomyopathy and outcome in patients with coronary artery disease. Eur J Heart Fail 2024; 26:46-55. [PMID: 37702310 PMCID: PMC11216513 DOI: 10.1002/ejhf.3033] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 08/17/2023] [Accepted: 09/11/2023] [Indexed: 09/14/2023] Open
Abstract
AIMS To examine the relevance of genetic and cardiovascular magnetic resonance (CMR) features of dilated cardiomyopathy (DCM) in individuals with coronary artery disease (CAD). METHODS AND RESULTS This study includes two cohorts. First, individuals with CAD recruited into the UK Biobank (UKB) were evaluated. Second, patients with CAD referred to a tertiary centre for evaluation with late gadolinium enhancement (LGE)-CMR were recruited (London cohort); patients underwent genetic sequencing as part of the research protocol and long-term follow-up. From 31 154 individuals with CAD recruited to UKB, rare pathogenic variants in DCM genes were associated with increased risk of death or major adverse cardiac events (hazard ratio 1.57, 95% confidence interval [CI] 1.22-2.01, p < 0.001). Of 1619 individuals with CAD included from the UKB CMR substudy, participants with a rare variant in a DCM-associated gene had lower left ventricular ejection fraction (LVEF) compared to genotype negative individuals (mean 47 ± 10% vs. 57 ± 8%, p < 0.001). Of 453 patients in the London cohort, 63 (14%) had non-infarct pattern LGE (NI-LGE) on CMR. Patients with NI-LGE had lower LVEF (mean 38 ± 18% vs. 48 ± 16%, p < 0.001) compared to patients without NI-LGE, with no significant difference in the burden of rare protein altering variants in DCM-associated genes between groups (9.5% vs. 6.7%, odds ratio 1.5, 95% CI 0.4-4.3, p = 0.4). NI-LGE was not independently associated with adverse clinical outcomes. CONCLUSION Rare pathogenic variants in DCM-associated genes impact left ventricular remodelling and outcomes in stable CAD. NI-LGE is associated with adverse remodelling but is not an independent predictor of outcome and had no rare genetic basis in our study.
Collapse
|
26
|
Harikrishna GV, Padmanabha H, Polavarapu K, Anjanappa RM, Preethish-Kumar V, Nandeesh BN, Vengalil S, Nashi S, Baskar D, Thomas A, Bardhan M, Arunachal G, Menon D, Sanka SB, Manjunath N, Nalini A. Phenotype-Genotype Correlation of a Cohort of Patients with Congenital Myopathy: A Single Centre Experience from India. J Neuromuscul Dis 2024; 11:935-957. [PMID: 38968056 PMCID: PMC11380309 DOI: 10.3233/jnd-230021] [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: 07/07/2024]
Abstract
Background Congenital myopathies (CMs) are a diverse group of inherited muscle disorders with broad genotypic and phenotypic heterogeneity. While the literature on CM is available from European countries, comprehensive data from the Indian subcontinent is lacking. Objectives This study aims to describe the clinical and histopathological characteristics of a cohort of genetically confirmed CMs from India and attempts to do phenotype-genotype correlation. Methods A retrospective chart review of genetically confirmed CMs was evaluated between January 2016 and December 2020 at the neuromuscular clinic. The clinical, genetic, and follow-up data were recorded in a pre-structured proforma as per the medical records, and the data was analyzed. Results A total of 31(M: F = 14 : 17) unrelated patients were included. The median age at onset and duration of illness are 2.0(IQR:1-8) years and 6.0(IQR:3-10) years respectively. Clinical features observed were proximodistal weakness (54.8%), facial weakness (64.5%), and myopathic facies (54.8%), followed by ptosis (33.3%), and ophthalmoplegia (19.4%). Muscle histopathology was available in 38.7% of patients, and centronuclear myopathy was the most common histopathology finding. The pathogenic genetic variants were identified in RYR1 (29.0%), DNM2 (19.4%), SELENON (12.9%), KBTBD13 (9.7%), NEB (6.5%), and MYPN (6.5%) genes. Novel mutations were observed in 30.3% of the cohort. Follow-up details were available in 77.4% of children, and the median duration of follow-up and age at last follow-up was 4.5 (Range 0.5-11) years and 13 (Range 3-35) years, respectively. The majority were ambulant with minimal assistance at the last follow-up. Mortality was noted in 8.3% due to respiratory failure in Centronuclear myopathy 1 and congenital myopathy 3 with rigid spines (SELENON). Conclusion This study highlights the various phenotypes and patterns of genetic mutations in a cohort of pediatric patients with congenital myopathy from India. Centronuclear myopathy was the most common histological classification and the mutations in RYR1 followed by DNM2 gene were the common pathogenic variants identified. The majority were independent in their activities of daily living during the last follow-up, highlighting the fact that the disease has slow progression irrespective of the genotype.
Collapse
Affiliation(s)
| | - Hansashree Padmanabha
- Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| | - Kiran Polavarapu
- Department of Medicine, Children's Hospital of Eastern Ontario Research Institute, University of Ottawa and Division of Neurology, The Ottawa Hospital, Ottawa, Canada
| | | | | | | | - Seena Vengalil
- Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| | - Saraswati Nashi
- Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| | - Dipti Baskar
- Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| | - Aneesha Thomas
- Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| | - Mainak Bardhan
- Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| | - Gautham Arunachal
- Department of Human Genetics, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| | - Deepak Menon
- Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| | - Sai Bhargava Sanka
- Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| | - Nisha Manjunath
- Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| | - Atchayaram Nalini
- Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| |
Collapse
|
27
|
Tan X, Liu R, Zhao D, He Z, Li W, Zheng M, Li Q, Wang Q, Liu D, Feng F, Zhu D, Zhao G, Wen J. Large-scale genomic and transcriptomic analyses elucidate the genetic basis of high meat yield in chickens. J Adv Res 2024; 55:1-16. [PMID: 36871617 PMCID: PMC10770282 DOI: 10.1016/j.jare.2023.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/16/2023] [Accepted: 02/26/2023] [Indexed: 03/07/2023] Open
Abstract
INTRODUCTION Investigating the genetic markers and genomic signatures related to chicken meat production by combing multi-omics methods could provide new insights into modern chicken breeding technology systems. OBJECT Chicken is one of the most efficient and environmentally friendly livestock, especially the fast-growing white-feathered chicken (broiler), which is well known for high meat yield, but the underlying genetic basis is poorly understood. METHOD We generated whole-genome resequencing of three purebred broilers (n = 748) and six local breeds/lines (n = 114), and sequencing data of twelve chicken breeds (n = 199) were obtained from the NCBI database. Additionally, transcriptome sequencing of six tissues from two chicken breeds (n = 129) at two developmental stages was performed. A genome-wide association study combined with cis-eQTL mapping and the Mendelian randomization was applied. RESULT We identified > 17 million high-quality SNPs, of which 21.74% were newly identified, based on 21 chicken breeds/lines. A total of 163 protein-coding genes underwent positive selection in purebred broilers, and 83 genes were differentially expressed between purebred broilers and local chickens. Notably, muscle development was proven to be the major difference between purebred broilers and local chickens, or ancestors, based on genomic and transcriptomic evidence from multiple tissues and stages. The MYH1 gene family showed the top selection signatures and muscle-specific expression in purebred broilers. Furthermore, we found that the causal gene SOX6 influenced breast muscle yield and also related to myopathy occurrences. A refined haplotype was provided, which had a significant effect on SOX6 expression and phenotypic changes. CONCLUSION Our study provides a comprehensive atlas comprising the typical genomic variants and transcriptional characteristics for muscle development and suggests a new regulatory target (SOX6-MYH1s axis) for breast muscle yield and myopathy, which could aid in the development of genome-scale selective breeding aimed at high meat yield in broiler chickens.
Collapse
Affiliation(s)
- Xiaodong Tan
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ranran Liu
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Di Zhao
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zhengxiao He
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Wei Li
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Maiqing Zheng
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Qinghe Li
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Qiao Wang
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Dawei Liu
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan 528515, China
| | - Furong Feng
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan 528515, China
| | - Dan Zhu
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan 528515, China
| | - Guiping Zhao
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Jie Wen
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| |
Collapse
|
28
|
Shah V, Singh JK, Srivastava SK, Konnur A, Gang S, Pandey SN. INF2 and ROBO2 gene mutation in an Indian family with end stage renal failure and follow-up of renal transplantation. Nephrology (Carlton) 2024; 29:48-54. [PMID: 37772439 DOI: 10.1111/nep.14244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 07/12/2023] [Accepted: 09/18/2023] [Indexed: 09/30/2023]
Abstract
BACKGROUND Accurate genetic diagnosis of end-stage renal disease patients with a family history of renal dysfunction is very essential. It not only helps in proper prognosis, but becomes crucial in designating donor for live related renal transplant. We here present a case of family with deleterious mutations in INF2 and ROBO2 and its importance of genetic testing before preparing for kidney transplantation. CASE PRESENTATION We report the case of a 29-year-female with end-stage renal disease and rapidly progressive renal failure. Mutational analysis revealed an Autosomal Dominant inheritance pattern and mutation in exon 4 of the INF2 gene (p. Thr215Ser) and exon 26 of the ROBO2 gene (p. Arg1371Cys). Her mother was diagnosed for CKD stage 4 with creatinine level of 4.3 mg/dL. Genetic variants (INF2 and ROBO2) identified in proband were tested in her sisters and mother. Her elder sister was positive for both heterozygous variants (INF2 and ROBO2). Her mother was positive for mutation in INF2 gene, and her donor elder sister did not showed mutation in INF2 gene and had mutation in ROBO2 gene without any clinical symptoms. CONCLUSION This case report emphasize that familial genetic screening has allowed us in allocating the donor selection in family where family member had history of genetic defect of Chronic Kidney Disease. Information of the causative renal disorder is extremely valuable for risk-assessment and planning of kidney transplantation.
Collapse
Affiliation(s)
- Vandit Shah
- Department of Pathology, Muljibhai Patel Urological Hospital, Nadiad, India
| | - Jaikee Kumar Singh
- Structural Biology and Bioinformatics Laboratory, Department of Biosciences, Manipal University Jaipur, Jaipur, India
| | - Sandeep Kumar Srivastava
- Structural Biology and Bioinformatics Laboratory, Department of Biosciences, Manipal University Jaipur, Jaipur, India
| | - Abhijit Konnur
- Department of Nephrology, Muljibhai Patel Urological Hospital, Nadiad, India
| | - Sishir Gang
- Department of Nephrology, Muljibhai Patel Urological Hospital, Nadiad, India
| | | |
Collapse
|
29
|
Benjelloun B, Leempoel K, Boyer F, Stucki S, Streeter I, Orozco-terWengel P, Alberto FJ, Servin B, Biscarini F, Alberti A, Engelen S, Stella A, Colli L, Coissac E, Bruford MW, Ajmone-Marsan P, Negrini R, Clarke L, Flicek P, Chikhi A, Joost S, Taberlet P, Pompanon F. Multiple genomic solutions for local adaptation in two closely related species (sheep and goats) facing the same climatic constraints. Mol Ecol 2023:e17257. [PMID: 38149334 DOI: 10.1111/mec.17257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 08/18/2023] [Accepted: 12/05/2023] [Indexed: 12/28/2023]
Abstract
The question of how local adaptation takes place remains a fundamental question in evolutionary biology. The variation of allele frequencies in genes under selection over environmental gradients remains mainly theoretical and its empirical assessment would help understanding how adaptation happens over environmental clines. To bring new insights to this issue we set up a broad framework which aimed to compare the adaptive trajectories over environmental clines in two domesticated mammal species co-distributed in diversified landscapes. We sequenced the genomes of 160 sheep and 161 goats extensively managed along environmental gradients, including temperature, rainfall, seasonality and altitude, to identify genes and biological processes shaping local adaptation. Allele frequencies at putatively adaptive loci were rarely found to vary gradually along environmental gradients, but rather displayed a discontinuous shift at the extremities of environmental clines. Of the 430 candidate adaptive genes identified, only 6 were orthologous between sheep and goats and those responded differently to environmental pressures, suggesting different putative mechanisms involved in local adaptation in these two closely related species. Interestingly, the genomes of the 2 species were impacted differently by the environment, genes related to signatures of selection were most related to altitude, slope and rainfall seasonality for sheep, and summer temperature and spring rainfall for goats. The diversity of candidate adaptive pathways may result from a high number of biological functions involved in the adaptations to multiple eco-climatic gradients, and a differential role of climatic drivers on the two species, despite their co-distribution along the same environmental gradients. This study describes empirical examples of clinal variation in putatively adaptive alleles with different patterns in allele frequency distributions over continuous environmental gradients, thus showing the diversity of genetic responses in adaptive landscapes and opening new horizons for understanding genomics of adaptation in mammalian species and beyond.
Collapse
Affiliation(s)
- Badr Benjelloun
- Livestock Genomics Laboratory, Regional Center of Agricultural Research Tadla, National Institute of Agricultural Research INRA, Rabat, Morocco
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Kevin Leempoel
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Frédéric Boyer
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Sylvie Stucki
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Ian Streeter
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Pablo Orozco-terWengel
- School of Biosciences, Cardiff University, Wales, UK
- Sustainable Places Research Institute, Cardiff University, Cardiff, UK
| | - Florian J Alberto
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Bertrand Servin
- GenPhySE, Université de Toulouse, INRAE, INPT, ENVT, Castanet-Tolosan, France
| | - Filippo Biscarini
- Institute of Agricultural Biology and Biotechnology, Consiglio Nazionale delle Ricerche (CNR), Milan, Italy
| | - Adriana Alberti
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ. Evry, Université Paris-Saclay, Evry, France
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France
| | - Stefan Engelen
- Genoscope, Institut de biologie François-Jacob, Commissariat à l'Energie Atomique CEA, Université Paris-Saclay, Evry, France
| | - Alessandra Stella
- Institute of Agricultural Biology and Biotechnology, Consiglio Nazionale delle Ricerche (CNR), Milan, Italy
| | - Licia Colli
- Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del S. Cuore, Piacenza, Italy
- BioDNA - Centro di Ricerca sulla Biodiversità e sul DNA Antico, Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del S. Cuore, Piacenza, Italy
| | - Eric Coissac
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Michael W Bruford
- School of Biosciences, Cardiff University, Wales, UK
- Sustainable Places Research Institute, Cardiff University, Cardiff, UK
| | - Paolo Ajmone-Marsan
- Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del S. Cuore, Piacenza, Italy
- BioDNA - Centro di Ricerca sulla Biodiversità e sul DNA Antico, Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del S. Cuore, Piacenza, Italy
| | - Riccardo Negrini
- Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del S. Cuore, Piacenza, Italy
- AIA Associazione Italiana Allevatori, Roma, Italy
| | - Laura Clarke
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Abdelkader Chikhi
- Livestock Genomics Laboratory, Regional Center of Agricultural Research Tadla, National Institute of Agricultural Research INRA, Rabat, Morocco
| | - Stéphane Joost
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Pierre Taberlet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - François Pompanon
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| |
Collapse
|
30
|
Mortlock SA, Asada MC, Soh PXY, Hsu WT, Lee C, Bennett PF, Taylor RM, Khatkar MS, Williamson P. Genomic Analysis of Lymphoma Risk in Bullmastiff Dogs. Vet Sci 2023; 10:703. [PMID: 38133254 PMCID: PMC10747964 DOI: 10.3390/vetsci10120703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 12/23/2023] Open
Abstract
Lymphoma is the most common haematological malignancy affecting dogs and has a high incidence in the Bullmastiff breed. The aim of this study was to identify risk loci predisposing this breed to the disease. The average age of lymphoma diagnosis in 55 cases was less than 6 years, similar to the median age of 64 cases from our clinical and pathology databases. When fine-scale population structure was explored using NETVIEW, cases were distributed throughout an extended pedigree. When genotyped cases (n = 49) and dogs from the control group (n = 281) were compared in a genome-wide association analysis of lymphoma risk, the most prominent associated regions were detected on CFA13 and CFA33. The top SNPs in a 5.4 Mb region on CFA13 were significant at a chromosome-wide level, and the region was fine-mapped to ~1.2 Mb (CFA13: 25.2-26.4 Mb; CanFam3.1) with four potential functional candidates, including the MYC proto-oncogene bHLH transcription factor (MYC) and a region syntenic with the human and mouse lncRNA Pvt1 oncogene (PVT1). A 380 Kb associated region at CFA33: 7.7-8.1 Mb contained the coding sequence for SUMO specific peptidase7 (SENP7) and NFK inhibitor zeta (NFKBIZ) genes. These genes have annotations related to cancer, amongst others, and both have functional links to MYC regulation. Genomic signatures identified in lymphoma cases suggest that increased risk contributed by the regions identified by GWAS may complement a complex predisposing genetic background.
Collapse
Affiliation(s)
- Sally A. Mortlock
- Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia (M.S.K.)
| | - Monica C. Asada
- Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia (M.S.K.)
| | - Pamela Xing Yi Soh
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
| | - Wei-Tse Hsu
- Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia (M.S.K.)
| | - Carol Lee
- Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia (M.S.K.)
| | - Peter F. Bennett
- Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia (M.S.K.)
| | - Rosanne M. Taylor
- Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia (M.S.K.)
| | - Mehar S. Khatkar
- Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia (M.S.K.)
- School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA 5371, Australia
| | - Peter Williamson
- Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia (M.S.K.)
| |
Collapse
|
31
|
Passols M, Llobet-Cabau F, Sebastià C, Castelló A, Valdés-Hernández J, Criado-Mesas L, Sánchez A, Folch JM. Identification of genomic regions, genetic variants and gene networks regulating candidate genes for lipid metabolism in pig muscle. Animal 2023; 17:101033. [PMID: 38064855 DOI: 10.1016/j.animal.2023.101033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/03/2023] [Accepted: 11/06/2023] [Indexed: 12/23/2023] Open
Abstract
The intramuscular fat content and fatty acid composition of porcine meat have a significant impact on its quality and nutritional value. This research aimed to investigate the expression of 45 genes involved in lipid metabolism in the longissimus dorsi muscle of three experimental pig backcrosses, with a 25% of Iberian background. To achieve this objective, we conducted an expression Genome-Wide Association Study (eGWAS) using gene expression levels in muscle measured by high-throughput real-time qPCR for 45 target genes and genotypes from the PorcineSNP60 BeadChip or Axiom Porcine Genotyping Array and 65 single nucleotide polymorphisms (SNPs) located in 20 genes genotyped by a custom-designed Taqman OpenArray in a cohort of 354 animals. The eGWAS analysis identified 301 eSNPs associated with 18 candidate genes (ANK2, APOE, ARNT, CIITA, CPT1A, EGF, ELOVL6, ELOVL7, FADS3, FASN, GPAT3, NR1D2, NR1H2, PLIN1, PPAP2A, RORA, RXRA and UCP3). Three cis-eQTL (expression quantitative trait loci) were identified for GPAT3, RXRA, and UCP3 genes, which indicates that a genetic polymorphism proximal to the same gene is affecting its expression. Furthermore, 24 trans-eQTLs were detected, and eight candidate regulatory genes were located in these genomic regions. Additionally, two trans-regulatory hotspots in Sus scrofa chromosomes 13 and 15 were identified. Moreover, a co-expression analysis performed on 89 candidate genes and the fatty acid composition revealed the regulatory role of four genes (FABP5, PPARG, SCD, and SREBF1). These genes modulate the levels of α-linolenic, arachidonic, and oleic acids, as well as regulating the expression of other candidate genes associated with lipid metabolism. The findings of this study offer novel insights into the functional regulatory mechanism of genes involved in lipid metabolism, thereby enhancing our understanding of this complex biological process.
Collapse
Affiliation(s)
- M Passols
- Plant and Animal Genomics, Centre for Research in Agrigenomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, España.
| | - F Llobet-Cabau
- Plant and Animal Genomics, Centre for Research in Agrigenomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, España; Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, España
| | - C Sebastià
- Plant and Animal Genomics, Centre for Research in Agrigenomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, España; Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, España
| | - A Castelló
- Plant and Animal Genomics, Centre for Research in Agrigenomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, España; Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, España
| | - J Valdés-Hernández
- Plant and Animal Genomics, Centre for Research in Agrigenomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, España; Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, España
| | - L Criado-Mesas
- Plant and Animal Genomics, Centre for Research in Agrigenomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, España
| | - A Sánchez
- Plant and Animal Genomics, Centre for Research in Agrigenomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, España; Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, España
| | - J M Folch
- Plant and Animal Genomics, Centre for Research in Agrigenomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, España; Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, España
| |
Collapse
|
32
|
Jeong JS, Cho KJ, Lee HJ, Roh J, Lee YS, Song JS. Predictive modelling for the diagnosis of oral and laryngeal premalignant and malignant lesions using p53 and Ki-67 expression. Pathology 2023; 55:945-957. [PMID: 37544878 DOI: 10.1016/j.pathol.2023.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 04/11/2023] [Accepted: 05/31/2023] [Indexed: 08/08/2023]
Abstract
Oral and laryngeal epithelial lesions are currently diagnosed using histological criteria based on the World Health Organization (WHO) classification, which can cause interobserver variability. An integrated diagnostic approach based on immunohistochemistry (IHC) would aid in the interpretation of ambiguous histological findings of epithelial lesions. In the present study, IHC was used to evaluate the expression of p53 and Ki-67 in 114 cases of oral and laryngeal epithelial lesions in 104 patients. Logistic regression analysis and decision tree algorithm were employed to develop a scoring system and predictive model for differentiating the epithelial lesions. Cohen's kappa coefficient was used to evaluate interobserver variability, and next-generation sequencing (NGS) and IHC were used to compare TP53 mutation and p53 expression patterns. Two expression patterns for p53, namely, diffuse expression type (pattern HI) and null type (pattern LS), and the pattern HI for Ki-67 were significantly associated with high-grade dysplasia (HGD) or squamous cell carcinoma (SqCC). With an accuracy and area under the receiver operating characteristic curve (AUC) of 84.6% and 0.85, respectively, the scoring system based on p53 and Ki-67 expression patterns classified epithelial lesions into two types: non-dysplasia (ND) or low-grade dysplasia (LGD) and SqCC or HGD. The decision tree model constructed using the p53 and Ki-67 expression patterns classified epithelial lesions into ND, LGD, and group 2, including HGD or SqCC, with an accuracy and AUC of 75% and 0.87, respectively. The integrated diagnosis had a better correlation with near perfect agreement (weighted kappa 0.92, unweighted kappa 0.88). The patterns HI and LS for p53 were confirmed to be correlated with missense mutations and nonsense/frameshift mutations, respectively. A predictive model for diagnosis was developed based on the correlation between TP53 mutation and p53 expression patterns. These results indicate that the scoring system based on p53 and Ki-67 expression patterns can differentiate epithelial lesions, especially in cases when the morphological features are ambiguous.
Collapse
Affiliation(s)
- Ji-Seon Jeong
- Department of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea
| | - Kyung-Ja Cho
- Department of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea
| | - Hee Jin Lee
- Department of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea
| | - Jin Roh
- Department of Pathology, Ajou University School of Medicine, Suwon, South Korea
| | - Yoon Se Lee
- Department of Otolaryngology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea
| | - Joon Seon Song
- Department of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
| |
Collapse
|
33
|
Saridogan T, Akcakanat A, Zhao M, Evans KW, Yuca E, Scott S, Kirby BP, Zheng X, Ha MJ, Chen H, Ng PKS, DiPeri TP, Mills GB, Rodon Ahnert J, Damodaran S, Meric-Bernstam F. Efficacy of futibatinib, an irreversible fibroblast growth factor receptor inhibitor, in FGFR-altered breast cancer. Sci Rep 2023; 13:20223. [PMID: 37980453 PMCID: PMC10657448 DOI: 10.1038/s41598-023-46586-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 11/02/2023] [Indexed: 11/20/2023] Open
Abstract
Several alterations in fibroblast growth factor receptor (FGFR) genes have been found in breast cancer; however, they have not been well characterized as therapeutic targets. Futibatinib (TAS-120; Taiho) is a novel, selective, pan-FGFR inhibitor that inhibits FGFR1-4 at nanomolar concentrations. We sought to determine futibatinib's efficacy in breast cancer models. Nine breast cancer patient-derived xenografts (PDXs) with various FGFR1-4 alterations and expression levels were treated with futibatinib. Antitumor efficacy was evaluated by change in tumor volume and time to tumor doubling. Alterations indicating sensitization to futibatinib in vivo were further characterized in vitro. FGFR gene expression between patient tumors and matching PDXs was significantly correlated; however, overall PDXs had higher FGFR3-4 expression. Futibatinib inhibited tumor growth in 3 of 9 PDXs, with tumor stabilization in an FGFR2-amplified model and prolonged regression (> 110 days) in an FGFR2 Y375C mutant/amplified model. FGFR2 overexpression and, to a greater extent, FGFR2 Y375C expression in MCF10A cells enhanced cell growth and sensitivity to futibatinib. Per institutional and public databases, FGFR2 mutations and amplifications had a population frequency of 1.1%-2.6% and 1.5%-2.5%, respectively, in breast cancer patients. FGFR2 alterations in breast cancer may represent infrequent but highly promising targets for futibatinib.
Collapse
Affiliation(s)
- Turcin Saridogan
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Boulevard, Unit 455, Houston, TX, 77030, USA
- Department of Basic Oncology, Graduate School of Health Sciences, Hacettepe University, Ankara, 06100, Turkey
| | - Argun Akcakanat
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Boulevard, Unit 455, Houston, TX, 77030, USA
| | - Ming Zhao
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Boulevard, Unit 455, Houston, TX, 77030, USA
| | - Kurt W Evans
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Boulevard, Unit 455, Houston, TX, 77030, USA
| | - Erkan Yuca
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Boulevard, Unit 455, Houston, TX, 77030, USA
| | - Stephen Scott
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Boulevard, Unit 455, Houston, TX, 77030, USA
| | - Bryce P Kirby
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Boulevard, Unit 455, Houston, TX, 77030, USA
| | - Xiaofeng Zheng
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Min Jin Ha
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
- Department of Biostatistics, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea
| | - Huiqin Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Patrick K S Ng
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06032, USA
- Department of Pediatrics, University of Connecticut Health Center, Farmington, CT, 06030, USA
| | - Timothy P DiPeri
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Boulevard, Unit 455, Houston, TX, 77030, USA
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Gordon B Mills
- Division of Oncological Sciences, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, 97239, USA
- Precision Oncology, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, 97239, USA
| | - Jordi Rodon Ahnert
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Boulevard, Unit 455, Houston, TX, 77030, USA
- The Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Senthil Damodaran
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Boulevard, Unit 455, Houston, TX, 77030, USA
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Boulevard, Unit 455, Houston, TX, 77030, USA.
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
- The Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
| |
Collapse
|
34
|
Al-Bustan SA, Alrashid MH, Al-Serri AE, Annice BG, Bahbahani HM. Sequence Variant Analysis of the APOCII Locus among an Arab Cohort. Int J Mol Sci 2023; 24:16293. [PMID: 38003484 PMCID: PMC10671382 DOI: 10.3390/ijms242216293] [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: 10/23/2023] [Revised: 11/09/2023] [Accepted: 11/09/2023] [Indexed: 11/26/2023] Open
Abstract
Apolipoprotein CII (ApocII) plays a key role in regulating lipoprotein lipase (LPL) in lipid metabolism and transport. Numerous polymorphisms within APOCII are reportedly associated with type 2 diabetes mellitus (T2DM), dyslipidemia, and aberrant plasma lipid levels. Few studies have investigated sequence variants at APOCII loci and their association with metabolic disorders. This study aimed to identify and characterize genetic variants by sequencing the full APOCII locus and its flanking sequences in a sample of the Kuwaiti Arab population, including patients with T2DM, hypertriglyceridemia, non-Arab patients with T2DM, and healthy Arab controls. A total of 52 variants were identified in the noncoding sequences: 45 single nucleotide polymorphisms, wherein five were novel, and seven insertion deletions. The minor allele frequency (MAF) of the 47 previously reported variants was similar to the global MAF and to that reported in major populations. Sequence variant analysis predicted a conserved role for APOCII with a potential role for rs5120 in T2DM and rs7133873 as an informative ethnicity marker. This study adds to the ongoing research that attempts to identify ethnicity-specific variants in the apolipoprotein gene loci and associated LPL genes to elucidate the molecular mechanisms of metabolic disorders.
Collapse
Affiliation(s)
- Suzanne A. Al-Bustan
- Department of Biological Sciences, College of Science, Kuwait University, Farwaniya 85700, Kuwait; (M.H.A.); (B.G.A.); (H.M.B.)
| | - Maryam H. Alrashid
- Department of Biological Sciences, College of Science, Kuwait University, Farwaniya 85700, Kuwait; (M.H.A.); (B.G.A.); (H.M.B.)
| | - Ahmad E. Al-Serri
- Unit of Human Genetics, Department of Pathology, Faculty of Medicine, Kuwait University, Hawally 46300, Kuwait;
| | - Babitha G. Annice
- Department of Biological Sciences, College of Science, Kuwait University, Farwaniya 85700, Kuwait; (M.H.A.); (B.G.A.); (H.M.B.)
| | - Hussain M. Bahbahani
- Department of Biological Sciences, College of Science, Kuwait University, Farwaniya 85700, Kuwait; (M.H.A.); (B.G.A.); (H.M.B.)
| |
Collapse
|
35
|
Lokki AI, Ren Z, Triebwasser M, Daly E, Perola M, Auro K, Burwick R, Salmon JE, Daly M, Laivuori H, Atkinson JP, Java A, Meri S. Identification of complement factor H variants that predispose to pre-eclampsia: A genetic and functional study. BJOG 2023; 130:1473-1482. [PMID: 37156755 PMCID: PMC10592561 DOI: 10.1111/1471-0528.17529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 04/18/2023] [Accepted: 04/24/2023] [Indexed: 05/10/2023]
Abstract
OBJECTIVE The objective of the study was to investigate the role of genetic variants in complement proteins in pre-eclampsia. DESIGN In a case-control study involving 609 cases and 2092 controls, five rare variants in complement factor H (CFH) were identified in women with severe and complicated pre-eclampsia. No variants were identified in controls. SETTING Pre-eclampsia is a leading cause of maternal and fetal morbidity and mortality. Immune maladaptation, in particular, complement activation that disrupts maternal-fetal tolerance leading to placental dysfunction and endothelial injury, has been proposed as a pathogenetic mechanism, but this remains unproven. POPULATION We genotyped 609 pre-eclampsia cases and 2092 controls from FINNPEC and the national FINRISK cohorts. METHODS Complement-based functional and structural assays were conducted in vitro to define the significance of these five missense variants and each compared with wild type. MAIN OUTCOME MEASURES Secretion, expression and ability to regulate complement activation were assessed for factor H proteins harbouring the mutations. RESULTS We identified five heterozygous rare variants in complement factor H (L3V, R127H, R166Q, C1077S and N1176K) in seven women with severe pre-eclampsia. These variants were not identified in controls. Variants C1077S and N1176K were novel. Antigenic, functional and structural analyses established that four (R127H, R166Q, C1077S and N1176K) were deleterious. Variants R127H and C1077S were synthesised, but not secreted. Variants R166Q and N1176K were secreted normally but showed reduced binding to C3b and consequently defective complement regulatory activity. No defect was identified for L3V. CONCLUSIONS These results suggest that complement dysregulation due to mutations in complement factor H is among the pathophysiological mechanisms underlying severe pre-eclampsia.
Collapse
Affiliation(s)
- A Inkeri Lokki
- Immunobiology Research Program, Bacteriology and Immunology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Heart and Lung Centre, Helsinki University Hospital, Helsinki, Finland
| | - Zhen Ren
- Division of Clinical Immunology and Allergy, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Michael Triebwasser
- Division of Pediatric Hematology and Oncology, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA
| | - Emma Daly
- Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Markus Perola
- Department of Health, National Institute for Health and Welfare, Helsinki, Finland
| | - Kirsi Auro
- Department of Health, National Institute for Health and Welfare, Helsinki, Finland
| | - Richard Burwick
- Maternal Fetal Medicine, San Gabriel Valley Perinatal Medical Group, Pomona Valley Hospital Medical Center, Pomona, California, USA
- Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Jane E Salmon
- Hospital for Special Surgery, Weill Medical College of Cornell University, New York, New York, USA
| | - Mark Daly
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Hannele Laivuori
- Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Department of Obstetrics and Gynaecology, Tampere University Hospital, Tampere University, Tampere, Finland
- Centre for Child, Adolescent, and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - John P Atkinson
- Division of Rheumatology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Anuja Java
- Division of Nephrology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Seppo Meri
- Immunobiology Research Program, Bacteriology and Immunology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- HUSLAB Diagnostic Centre, Helsinki University Hospital, Helsinki, Finland
| |
Collapse
|
36
|
Rani S, Thamodaran V, Nandy K, Fouzia NA, Maddali M, Rajesh P, Vijayanand S, David E, Velayudhan SR. Establishment and characterization of CSCRi006-A: an induced pluripotent stem cell line generated from a patient with Diamond-Blackfan Anemia (DBA) carrying ribosomal protein S19 (RPS19) mutation. Hum Cell 2023; 36:2204-2213. [PMID: 37603219 DOI: 10.1007/s13577-023-00946-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 06/21/2023] [Indexed: 08/22/2023]
Abstract
Diamond-Blackfan anemia (DBA) is a congenital hypoplastic anemia characterized by ineffective erythropoiesis. DBA is majorly caused by mutations in the ribosomal protein (RP) genes (Gadhiya and Wills in Diamond-Blackfan Anemia, https://www.statpearls.com/ ; 2023). A suitable disease model that yields a continuous supply of erythroid cells is required to study disease pathogenesis and drug discovery. Toward this, we reprogrammed dermal fibroblasts from a DBA patient with a heterozygous mutation c.22-23delAG in the RPS19 gene identified through exome sequencing. To generate induced pluripotent stem cells (iPSCs), we induced episomal expression of the reprogramming factors OTC3/4, L-MYC, LIN28, SOX2, and KLF4, and a p53 shRNA2. The DBA-iPSC line CSCRi006-A generated during this study was extensively characterized for its pluripotency and genome stability. The clone retained normal karyotype and showed high expression levels of pluripotency markers, OCT4, NANOG, SOX2, TRA-I-60, TRA-I-81, and SSEA4. It could differentiate into cells originating from all three germ cell layers, as identified by immunostaining for SOX17 (endoderm), Brachyury (mesoderm), and PAX6 (ectoderm). IPSCs provide a renewable source of cells for in vitro disease modeling. CSCRi006-A, a thoroughly characterized iPSC line carrying heterozygous RPS19 c.22-23delAG mutation, is a valuable cell line for the disease modeling of DBA. This iPSC line can be differentiated into different blood cell types to study the mechanisms of disease development and identify potential treatments.
Collapse
Affiliation(s)
- Sonam Rani
- Centre for Stem Cell Research, Christian Medical College, Vellore, India
- Department of Biotechnology, Thiruvalluvar University, Vellore, India
| | - Vasanth Thamodaran
- Centre for Stem Cell Research, Christian Medical College, Vellore, India
- Tata Institute for Genetics and Society, Bangalore, India
| | - Krittika Nandy
- Centre for Stem Cell Research, Christian Medical College, Vellore, India
- Department of Biotechnology, Thiruvalluvar University, Vellore, India
| | - N A Fouzia
- Department of Hematology, Christian Medical College, Vellore, India
| | - Madhavi Maddali
- Department of Hematology, Christian Medical College, Vellore, India
| | - Praveena Rajesh
- Centre for Stem Cell Research, Christian Medical College, Vellore, India
| | - S Vijayanand
- Department of Biotechnology, Thiruvalluvar University, Vellore, India
| | - Ernest David
- Department of Biotechnology, Thiruvalluvar University, Vellore, India
| | - Shaji R Velayudhan
- Centre for Stem Cell Research, Christian Medical College, Vellore, India.
- Department of Hematology, Christian Medical College, Vellore, India.
| |
Collapse
|
37
|
Huang Z, Shen Q, Wu B, Wang H, Dong X, Lu Y, Cheng G, Wang L, Lu W, Chen L, Kang W, Li L, Pan X, Wei Q, Zhuang D, Chen D, Yin Z, Yang L, Ni Q, Liu R, Li G, Zhang P, Qian Y, Peng X, Wang Y, Cao Y, Xu H, Hu L, Yang L, Zhou W. Genetic Spectrum of Congenital Anomalies of the Kidney and Urinary Tract in Chinese Newborn Genome Project. Kidney Int Rep 2023; 8:2376-2384. [PMID: 38025242 PMCID: PMC10658258 DOI: 10.1016/j.ekir.2023.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 08/07/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Congenital anomalies of the kidney and urinary tract (CAKUT) corresponds to a spectrum of defects. Several large-cohort studies have used high-throughput sequencing to investigate the genetic risk of CAKUT during antenatal, childhood, and adulthood period. However, our knowledge of newborns with CAKUT is limited. Methods This multicenter retrospective cohort study explored the genetic spectrum of CAKUT in a Chinese neonatal cohort. Clinical data and whole exome sequencing (WES) data of 330 newborns clinically diagnosed with CAKUT were collected. WES data were analyzed for putative deleterious single nucleotide variants (SNVs) and potential disease-associated copy number variants (CNVs). Results In this study, pathogenic variants were identified in 61 newborns (18.5%, 61/330), including 35 patients (57.4%) with SNVs, 25 patients (41%) with CNVs, and 1 patient with both an SNV and a CNV. Genetic diagnosis rates were significantly higher in patients with extrarenal manifestations (P<0.001), especially in those with cardiovascular malformations (P<0.05). SNVs in genes related to syndromic disorders (CAKUT with extrarenal manifestations) were common, affecting 20 patients (57.1%, 20/35). KMT2D was the most common gene (5 patients) and 17q12 deletion was the most common CNV (4 patients). Patient 110 was detected with both a CNV (17q12 deletion) and an SNV (a homozygous variant of SLC25A13). Among the newborns with positive genetic results, 22 (36.1%, 22/61) patients may benefit from a molecular diagnosis and change in clinical management (including early multidisciplinary treatment, disease-specific follow-up, and familial genetic counseling). Conclusion This study shows the heterogeneous genetic etiologies in a Chinese CAKUT neonatal cohort by using WES. Patients with CAKUT who have extrarenal manifestations are more likely to harbor genetic diagnoses. Kabuki syndrome and 17q12 deletion syndrome were the most common genetic findings. Approximately 36.1% of the patients may benefit from molecular diagnoses and a change in clinical management.
Collapse
Affiliation(s)
- Zhelan Huang
- Center for Molecular Medicine, Children’s Hospital of Fudan University, Shanghai, China
| | - Qian Shen
- Department of Nephrology, Children’s Hospital of Fudan University, Shanghai, China
| | - Bingbing Wu
- Center for Molecular Medicine, Children’s Hospital of Fudan University, Shanghai, China
| | - Huijun Wang
- Center for Molecular Medicine, Children’s Hospital of Fudan University, Shanghai, China
| | - Xinran Dong
- Center for Molecular Medicine, Children’s Hospital of Fudan University, Shanghai, China
| | - Yulan Lu
- Center for Molecular Medicine, Children’s Hospital of Fudan University, Shanghai, China
| | - Guoqiang Cheng
- Division of Neonatology, Children’s Hospital of Fudan University, Shanghai, China
| | - Laishuan Wang
- Division of Neonatology, Children’s Hospital of Fudan University, Shanghai, China
- Key Laboratory of Birth Defects, Children’s Hospital of Fudan University, Shanghai, China
| | - Wei Lu
- Department of Endocrinology and Inherited Metabolic Diseases, Children’s Hospital of Fudan University, Shanghai, China
| | - Liping Chen
- Jiangxi Provincial Children’s Hospital, Nanchang, China
| | - Wenqing Kang
- Children’s Hospital Affiliated to Zhengzhou University, Zhengzhou, China
| | - Long Li
- Department of Neonatology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Xinnian Pan
- Maternal and Child Health Care Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Qiufen Wei
- Maternal and Child Health Care Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | | | - Dongmei Chen
- Quanzhou Women and Children’s Hospital, Quanzhou, China
| | | | - Ling Yang
- Hainan Women and Children’s Medical Center, Haikou, China
| | - Qi Ni
- Center for Molecular Medicine, Children’s Hospital of Fudan University, Shanghai, China
| | - Renchao Liu
- Center for Molecular Medicine, Children’s Hospital of Fudan University, Shanghai, China
| | - Gang Li
- Center for Molecular Medicine, Children’s Hospital of Fudan University, Shanghai, China
| | - Ping Zhang
- Center for Molecular Medicine, Children’s Hospital of Fudan University, Shanghai, China
| | - Yanyan Qian
- Center for Molecular Medicine, Children’s Hospital of Fudan University, Shanghai, China
| | - Xiaomin Peng
- Center for Molecular Medicine, Children’s Hospital of Fudan University, Shanghai, China
| | - Yao Wang
- Center for Molecular Medicine, Children’s Hospital of Fudan University, Shanghai, China
| | - Yun Cao
- Division of Neonatology, Children’s Hospital of Fudan University, Shanghai, China
- Key Laboratory of Birth Defects, Children’s Hospital of Fudan University, Shanghai, China
| | - Hong Xu
- Department of Nephrology, Children’s Hospital of Fudan University, Shanghai, China
| | - Liyuan Hu
- Division of Neonatology, Children’s Hospital of Fudan University, Shanghai, China
- Key Laboratory of Birth Defects, Children’s Hospital of Fudan University, Shanghai, China
| | - Lin Yang
- Department of Endocrinology and Inherited Metabolic Diseases, Children’s Hospital of Fudan University, Shanghai, China
| | - Wenhao Zhou
- Center for Molecular Medicine, Children’s Hospital of Fudan University, Shanghai, China
- Division of Neonatology, Children’s Hospital of Fudan University, Shanghai, China
- Key Laboratory of Birth Defects, Children’s Hospital of Fudan University, Shanghai, China
- Xiamen Children’s Hospital, Xiamen, China
| |
Collapse
|
38
|
Li X, Zhao Y, Kong H, Song C, Liu J, Xia J. Identification of region-specific splicing QTLs in human hippocampal tissue and its distinctive role in brain disorders. iScience 2023; 26:107958. [PMID: 37810239 PMCID: PMC10558811 DOI: 10.1016/j.isci.2023.107958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 06/28/2023] [Accepted: 09/14/2023] [Indexed: 10/10/2023] Open
Abstract
Alternative splicing (AS) regulation has an essential role in complex diseases. However, the AS profiles in the hippocampal (HIPPO) region of human brain are underexplored. Here, we investigated cis-acting sQTLs of HIPPO region in 264 samples and identified thousands of significant sQTLs. By enrichment analysis and functional characterization of these sQTLs, we found that the HIPPO sQTLs were enriched among histone-marked regions, transcription factors binding sites, RNA binding proteins sites, and brain disorders-associated loci. Comparative analyses with the dorsolateral prefrontal cortex revealed the importance of AS regulation in HIPPO (rg = 0.87). Furthermore, we performed a transcriptome-wide association study of Alzheimer's disease and identified 16 significant genes whose genetically regulated splicing levels may have a causal role in Alzheimer. Overall, our study improves our knowledge of the transcriptome gene regulation in the HIPPO region and provides novel insights into elucidating the pathogenesis of potential genes associated with brain disorders.
Collapse
Affiliation(s)
- Xiaoyan Li
- Information Materials and Intelligent Sensing Laboratory of Anhui Province and Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China
| | - Yiran Zhao
- Information Materials and Intelligent Sensing Laboratory of Anhui Province and Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China
| | - Hui Kong
- Information Materials and Intelligent Sensing Laboratory of Anhui Province and Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China
| | - Chengcheng Song
- Information Materials and Intelligent Sensing Laboratory of Anhui Province and Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China
| | - Jie Liu
- Information Materials and Intelligent Sensing Laboratory of Anhui Province and Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China
| | - Junfeng Xia
- Information Materials and Intelligent Sensing Laboratory of Anhui Province and Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China
| |
Collapse
|
39
|
Blue EE, White JJ, Dush MK, Gordon WW, Wyatt BH, White P, Marvin CT, Helle E, Ojala T, Priest JR, Jenkins MM, Almli LM, Reefhuis J, Pangilinan F, Brody LC, McBride KL, Garg V, Shaw GM, Romitti PA, Nembhard WN, Browne ML, Werler MM, Kay DM, Mital S, Chong JX, Nascone-Yoder NM, Bamshad MJ. Rare variants in CAPN2 increase risk for isolated hypoplastic left heart syndrome. HGG ADVANCES 2023; 4:100232. [PMID: 37663545 PMCID: PMC10474499 DOI: 10.1016/j.xhgg.2023.100232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 08/07/2023] [Indexed: 09/05/2023] Open
Abstract
Hypoplastic left heart syndrome (HLHS) is a severe congenital heart defect (CHD) characterized by hypoplasia of the left ventricle and aorta along with stenosis or atresia of the aortic and mitral valves. HLHS represents only ∼4%-8% of all CHDs but accounts for ∼25% of deaths. HLHS is an isolated defect (i.e., iHLHS) in 70% of families, the vast majority of which are simplex. Despite intense investigation, the genetic basis of iHLHS remains largely unknown. We performed exome sequencing on 331 families with iHLHS aggregated from four independent cohorts. A Mendelian-model-based analysis demonstrated that iHLHS was not due to single, large-effect alleles in genes previously reported to underlie iHLHS or CHD in >90% of families in this cohort. Gene-based association testing identified increased risk for iHLHS associated with variation in CAPN2 (p = 1.8 × 10-5), encoding a protein involved in functional adhesion. Functional validation studies in a vertebrate animal model (Xenopus laevis) confirmed CAPN2 is essential for cardiac ventricle morphogenesis and that in vivo loss of calpain function causes hypoplastic ventricle phenotypes and suggest that human CAPN2707C>T and CAPN21112C>T variants, each found in multiple individuals with iHLHS, are hypomorphic alleles. Collectively, our findings show that iHLHS is typically not a Mendelian condition, demonstrate that CAPN2 variants increase risk of iHLHS, and identify a novel pathway involved in HLHS pathogenesis.
Collapse
Affiliation(s)
- Elizabeth E. Blue
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | | | - Michael K. Dush
- Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, NC, USA
| | - William W. Gordon
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Brent H. Wyatt
- Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, NC, USA
| | - Peter White
- Institute for Genomic Medicine, Nationwide Children’s Hospital, and Department of Pediatrics, The Ohio State University, Columbus, OH, USA
| | - Colby T. Marvin
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Emmi Helle
- New Children’s Hospital and Pediatric Research Center, Helsinki University Hospital, Helsinki, Finland
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Tiina Ojala
- New Children’s Hospital and Pediatric Research Center, Helsinki University Hospital, Helsinki, Finland
| | - James R. Priest
- Stanford University School of Medicine, Lucile Packard Children’s Hospital, Stanford, CA, USA
| | - Mary M. Jenkins
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Lynn M. Almli
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jennita Reefhuis
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Faith Pangilinan
- Genetics and Environment Interaction Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lawrence C. Brody
- Genetics and Environment Interaction Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kim L. McBride
- Center for Cardiovascular Research, Nationwide Children’s Hospital, and Division of Genetic and Genomic Medicine, Department of Pediatrics, The Ohio State University, Columbus, OH, USA
| | - Vidu Garg
- Center for Cardiovascular Research and The Heart Center, Nationwide Children’s Hospital, and Department of Pediatrics, The Ohio State University, Columbus, OH, USA
| | - Gary M. Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Paul A. Romitti
- Department of Epidemiology, College of Public Health, The University of Iowa, Iowa City, IA, USA
| | | | - Marilyn L. Browne
- Birth Defects Registry, New York State Department of Health, Albany, NY, USA
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, Rensselaer, NY, USA
| | - Martha M. Werler
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Denise M. Kay
- Division of Genetics, Wadsworth Center, New York State Department of Health, Albany, NY, USA
| | - National Birth Defects Prevention Study
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Invitae, San Francisco, CA, USA
- Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, NC, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
- Institute for Genomic Medicine, Nationwide Children’s Hospital, and Department of Pediatrics, The Ohio State University, Columbus, OH, USA
- New Children’s Hospital and Pediatric Research Center, Helsinki University Hospital, Helsinki, Finland
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Stanford University School of Medicine, Lucile Packard Children’s Hospital, Stanford, CA, USA
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Genetics and Environment Interaction Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Center for Cardiovascular Research, Nationwide Children’s Hospital, and Division of Genetic and Genomic Medicine, Department of Pediatrics, The Ohio State University, Columbus, OH, USA
- Center for Cardiovascular Research and The Heart Center, Nationwide Children’s Hospital, and Department of Pediatrics, The Ohio State University, Columbus, OH, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Epidemiology, College of Public Health, The University of Iowa, Iowa City, IA, USA
- University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Birth Defects Registry, New York State Department of Health, Albany, NY, USA
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, Rensselaer, NY, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Division of Genetics, Wadsworth Center, New York State Department of Health, Albany, NY, USA
- Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - University of Washington Center for Mendelian Genomics
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Invitae, San Francisco, CA, USA
- Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, NC, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
- Institute for Genomic Medicine, Nationwide Children’s Hospital, and Department of Pediatrics, The Ohio State University, Columbus, OH, USA
- New Children’s Hospital and Pediatric Research Center, Helsinki University Hospital, Helsinki, Finland
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Stanford University School of Medicine, Lucile Packard Children’s Hospital, Stanford, CA, USA
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Genetics and Environment Interaction Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Center for Cardiovascular Research, Nationwide Children’s Hospital, and Division of Genetic and Genomic Medicine, Department of Pediatrics, The Ohio State University, Columbus, OH, USA
- Center for Cardiovascular Research and The Heart Center, Nationwide Children’s Hospital, and Department of Pediatrics, The Ohio State University, Columbus, OH, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Epidemiology, College of Public Health, The University of Iowa, Iowa City, IA, USA
- University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Birth Defects Registry, New York State Department of Health, Albany, NY, USA
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, Rensselaer, NY, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Division of Genetics, Wadsworth Center, New York State Department of Health, Albany, NY, USA
- Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Seema Mital
- Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Jessica X. Chong
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | | | - Michael J. Bamshad
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| |
Collapse
|
40
|
van Duijvenboden S, Ramírez J, Young WJ, Olczak KJ, Ahmed F, Alhammadi MJAY, Bell CG, Morris AP, Munroe PB. Integration of genetic fine-mapping and multi-omics data reveals candidate effector genes for hypertension. Am J Hum Genet 2023; 110:1718-1734. [PMID: 37683633 PMCID: PMC10577090 DOI: 10.1016/j.ajhg.2023.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 08/11/2023] [Accepted: 08/11/2023] [Indexed: 09/10/2023] Open
Abstract
Genome-wide association studies of blood pressure (BP) have identified >1,000 loci, but the effector genes and biological pathways at these loci are mostly unknown. Using published association summary statistics, we conducted annotation-informed fine-mapping incorporating tissue-specific chromatin segmentation and colocalization to identify causal variants and candidate effector genes for systolic BP, diastolic BP, and pulse pressure. We observed 532 distinct signals associated with ≥2 BP traits and 84 with all three. For >20% of signals, a single variant accounted for >75% posterior probability, 65 were missense variants in known (SLC39A8, ADRB2, and DBH) and previously unreported BP candidate genes (NRIP1 and MMP14). In disease-relevant tissues, we colocalized >80 and >400 distinct signals for each BP trait with cis-eQTLs and regulatory regions from promoter capture Hi-C, respectively. Integrating mouse, human disorder, gene expression and tissue abundance data, and literature review, we provide consolidated evidence for 436 BP candidate genes for future functional validation and discover several potential drug targets.
Collapse
Affiliation(s)
- Stefan van Duijvenboden
- William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ London, UK; Institute of Cardiovascular Science, University College London, London, UK; Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Julia Ramírez
- William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ London, UK; Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain; Centro de Investigación Biomédica en Red - Bioingeniería, Biomateriales y Nanomedicina, Zaragoza, Spain
| | - William J Young
- William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ London, UK; Barts Heart Centre, St Bartholomew's Hospital, EC1A 7BE London, UK
| | - Kaya J Olczak
- William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ London, UK
| | - Farah Ahmed
- William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ London, UK
| | | | - Christopher G Bell
- William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ London, UK
| | - Andrew P Morris
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK; National Institute of Health and Care Research, Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
| | - Patricia B Munroe
- William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ London, UK; National Institute of Health and Care Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, EC1M 6BQ London, UK.
| |
Collapse
|
41
|
Giannikou K, Klonowska K, Tsuji J, Wu S, Zhu Z, Probst CK, Kao KZ, Wu CL, Rodig S, Marino-Enriquez A, Zen Y, Schaefer IM, Kwiatkowski DJ. TSC2 inactivation, low mutation burden and high macrophage infiltration characterise hepatic angiomyolipomas. Histopathology 2023; 83:569-581. [PMID: 37679051 DOI: 10.1111/his.15005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 04/30/2023] [Accepted: 06/26/2023] [Indexed: 09/09/2023]
Abstract
AIMS Although TSC1 or TSC2 inactivating mutations that lead to mTORC1 hyperactivation have been reported in hepatic angiomyolipomas (hAML), the role of other somatic genetic events that may contribute to hAML development is unknown. There are also limited data regarding the tumour microenvironment (TME) of hAML. The aim of the present study was to identify other somatic events in genomic level and changes in TME that contribute to tumorigenesis in hAML. METHODS AND RESULTS In this study, we performed exome sequencing in nine sporadic hAML tumours and deep-coverage targeted sequencing for TSC2 in three additional hAML. Immunohistochemistry and multiplex immunofluorescence were carried out for 15 proteins to characterise the tumour microenvironment and assess immune cell infiltration. Inactivating somatic variants in TSC2 were identified in 10 of 12 (83%) cases, with a median allele frequency of 13.6%. Five to 18 somatic variants (median number: nine, median allele frequency 21%) not in TSC1 or TSC2 were also identified, mostly of uncertain clinical significance. Copy number changes were rare, but detection was impaired by low tumour purity. Immunohistochemistry demonstrated numerous CD68+ macrophages of distinct appearance from Küpffer cells. Multiplex immunofluorescence revealed low numbers of exhausted PD-1+/PD-L1+, FOXP3+ and CD8+ T cells. CONCLUSION hAML tumours have consistent inactivating mutations in TSC2 and have a low somatic mutation rate, similar to other TSC-associated tumours. Careful histological review, standard IHC and multiplex immunofluorescence demonstrated marked infiltration by non-neoplastic inflammatory cells, mostly macrophages.
Collapse
Affiliation(s)
- Krinio Giannikou
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Cancer Genome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Hematology and Oncology, Cancer and Blood Disease Institute, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Katarzyna Klonowska
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Cancer Genome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Junko Tsuji
- Genomics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Shulin Wu
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Zachary Zhu
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Clemens K Probst
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Neurological Sciences, Larner College of Medicine, University of Vermont, Burlighton, VT, USA
| | - Katrina Z Kao
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Chin-Lee Wu
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Scott Rodig
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Adrian Marino-Enriquez
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Yoh Zen
- Department of Diagnostic Pathology, Kobe University Hospital, Kobe, Japan
- Institute of Liver Studies, King's College Hospital, London, UK
| | - Inga-Marie Schaefer
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - David J Kwiatkowski
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
42
|
Cui L, Yang B, Xiao S, Gao J, Baud A, Graham D, McBride M, Dominiczak A, Schafer S, Aumatell RL, Mont C, Teruel AF, Hübner N, Flint J, Mott R, Huang L. Dominance is common in mammals and is associated with trans-acting gene expression and alternative splicing. Genome Biol 2023; 24:215. [PMID: 37773188 PMCID: PMC10540365 DOI: 10.1186/s13059-023-03060-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 09/18/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND Dominance and other non-additive genetic effects arise from the interaction between alleles, and historically these phenomena play a major role in quantitative genetics. However, most genome-wide association studies (GWAS) assume alleles act additively. RESULTS We systematically investigate both dominance-here representing any non-additive within-locus interaction-and additivity across 574 physiological and gene expression traits in three mammalian stocks: F2 intercross pigs, rat heterogeneous stock, and mice heterogeneous stock. Dominance accounts for about one quarter of heritable variance across all physiological traits in all species. Hematological and immunological traits exhibit the highest dominance variance, possibly reflecting balancing selection in response to pathogens. Although most quantitative trait loci (QTLs) are detectable as additive QTLs, we identify 154, 64, and 62 novel dominance QTLs in pigs, rats, and mice respectively that are undetectable as additive QTLs. Similarly, even though most cis-acting expression QTLs are additive, gene expression exhibits a large fraction of dominance variance, and trans-acting eQTLs are enriched for dominance. Genes causal for dominance physiological QTLs are less likely to be physically linked to their QTLs but instead act via trans-acting dominance eQTLs. In addition, thousands of eQTLs are associated with alternatively spliced isoforms with complex additive and dominant architectures in heterogeneous stock rats, suggesting a possible mechanism for dominance. CONCLUSIONS Although heritability is predominantly additive, many mammalian genetic effects are dominant and likely arise through distinct mechanisms. It is therefore advantageous to consider both additive and dominance effects in GWAS to improve power and uncover causality.
Collapse
Affiliation(s)
- Leilei Cui
- National Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China
- UCL Genetics Institute, University College London, London, WC1E 6BT, UK
- Human Aging Research Institute and School of Life Science, Nanchang University, and Jiangxi Key Laboratory of Human Aging, Jiangxi, China
- School of Life Sciences, Nanchang University, Nanchang, China
| | - Bin Yang
- National Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China
| | - Shijun Xiao
- National Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China
| | - Jun Gao
- National Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China
| | - Amelie Baud
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Delyth Graham
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
| | - Martin McBride
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
| | - Anna Dominiczak
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
| | - Sebastian Schafer
- Cardiovascular and Metabolic Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Regina Lopez Aumatell
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Carme Mont
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Albert Fernandez Teruel
- Departamento de Psiquiatría y Medicina Legal, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Norbert Hübner
- Genetics and Genomics of Cardiovascular Diseases Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- DZHK (German Center for Cardiovascular Research) Partner Site Berlin, Berlin, Germany
- Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Jonathan Flint
- Department of Psychiatry and Behavioral Sciences, Brain Research Institute, University of California, Los Angeles, CA, USA
| | - Richard Mott
- UCL Genetics Institute, University College London, London, WC1E 6BT, UK.
| | - Lusheng Huang
- National Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China.
| |
Collapse
|
43
|
Hudson KM, Klimczak LJ, Sterling JF, Burkholder AB, Kazanov M, Saini N, Mieczkowski PA, Gordenin DA. Glycidamide-induced hypermutation in yeast single-stranded DNA reveals a ubiquitous clock-like mutational motif in humans. Nucleic Acids Res 2023; 51:9075-9100. [PMID: 37471042 PMCID: PMC10516655 DOI: 10.1093/nar/gkad611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 06/28/2023] [Accepted: 07/10/2023] [Indexed: 07/21/2023] Open
Abstract
Mutagens often prefer specific nucleotides or oligonucleotide motifs that can be revealed by studying the hypermutation spectra in single-stranded (ss) DNA. We utilized a yeast model to explore mutagenesis by glycidamide, a simple epoxide formed endogenously in humans from the environmental toxicant acrylamide. Glycidamide caused ssDNA hypermutation in yeast predominantly in cytosines and adenines. The most frequent mutations in adenines occurred in the nAt→nGt trinucleotide motif. Base substitutions A→G in this motif relied on Rev1 translesion polymerase activity. Inactivating Rev1 did not alter the nAt trinucleotide preference, suggesting it may be an intrinsic specificity of the chemical reaction between glycidamide and adenine in the ssDNA. We found this mutational motif enriched in published sequencing data from glycidamide-treated mouse cells and ubiquitous in human cancers. In cancers, this motif was positively correlated with the single base substitution (SBS) smoking-associated SBS4 signature, with the clock-like signatures SBS1, SBS5, and was strongly correlated with smoking history and with age of tumor donors. Clock-like feature of the motif was also revealed in cells of human skin and brain. Given its pervasiveness, we propose that this mutational motif reflects mutagenic lesions to adenines in ssDNA from a potentially broad range of endogenous and exogenous agents.
Collapse
Affiliation(s)
- Kathleen M Hudson
- Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, US National Institutes of Health, Durham, NC 27709, USA
| | - Leszek J Klimczak
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences, US National Institutes of Health, Durham, NC 27709, USA
| | - Joan F Sterling
- Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, US National Institutes of Health, Durham, NC 27709, USA
| | - Adam B Burkholder
- Office of Environmental Science Cyberinfrastructure, National Institute of Environmental Health Sciences, US National Institutes of Health, Durham, NC 27709, USA
| | - Marat D Kazanov
- Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, 34956, Turkey
- Skolkovo Institute of Science and Technology, Moscow 121205, Russia
| | - Natalie Saini
- Department of Biochemistry & Molecular Biology, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Piotr A Mieczkowski
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Dmitry A Gordenin
- Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, US National Institutes of Health, Durham, NC 27709, USA
| |
Collapse
|
44
|
Tateo F, Bononi M, Castorina G, Colecchia SA, De Benedetti S, Consonni G, Geuna F. Whole-genome resequencing-based characterization of a durum wheat landrace showing similarity to 'Senatore Cappelli'. PLoS One 2023; 18:e0291430. [PMID: 37733684 PMCID: PMC10513328 DOI: 10.1371/journal.pone.0291430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 08/29/2023] [Indexed: 09/23/2023] Open
Abstract
Durum wheat (Triticum turgidum spp. durum) is a major cereal adopted since antiquity to feed humans. Due to its use, dating back several millennia, this species features a wide genetic diversity and landraces are considered important repositories of gene pools which constitute invaluable tools for breeders. The aim of this work is to provide a first characterization of a wheat landrace, referred to as 'TB2018', that was collected in the Apulia region (Southern Italy). 'TB2018' revealed, through visual inspection, characters reminiscent of the traditional variety 'Senatore Cappelli', while exhibiting a distinctive trait, i.e., reduced stature. Indeed, the comparison with a set of Italian durum wheat cultivars conducted in this study, in which 24 CPVO plant descriptors were adopted, placed the 'TB2018' landrace in proximity to the 'Senatore Cappelli' cultivar. In addition, the close similarity between the two genotypes was confirmed by the analysis of the seed protein pattern. A relative reduction was detected for 'TB2018' root elongation in the early stages of plant growth. The 'TB2018' genome sequence, obtained through low-coverage resequencing and comparison to the reference 'Svevo' cultivar is also reported in this study, followed by a genome-wide comparison against 259 durum wheat accessions that placed 'TB2018' close to the 'Cappelli' reference. Hundreds of genes putatively affected by variants that possess Gene Ontology descriptors were detected, among which some were shown to be putatively linked to the morphological traits that distinguish 'TB2018' from 'Senatore Cappelli', Overall, this study poses the basis for a possible exploitation of 'TB2018' per se in cultivation or as a source of alternative alleles in the breeding of traditional cultivars. This work also presents a genomic methodology that exploits the information contained in a low-depth, whole-genome sequence to derive genotypic data useful for cross-platform (chip data) comparisons.
Collapse
Affiliation(s)
- Fernando Tateo
- Department of Agricultural and Environmental Sciences – Production, Landscape, Agroenergy (DISAA), University of Milan, Milan, Italy
| | - Monica Bononi
- Department of Agricultural and Environmental Sciences – Production, Landscape, Agroenergy (DISAA), University of Milan, Milan, Italy
| | - Giulia Castorina
- Department of Agricultural and Environmental Sciences – Production, Landscape, Agroenergy (DISAA), University of Milan, Milan, Italy
| | - Salvatore Antonio Colecchia
- Council for Agricultural Research and Economics, Research Center for Cereal and Industrial Crops (CREA-CI), Foggia, Italy
| | - Stefano De Benedetti
- Department of Food, Environmental and Nutritional Sciences, University of Milan, Milan, Italy
| | - Gabriella Consonni
- Department of Agricultural and Environmental Sciences – Production, Landscape, Agroenergy (DISAA), University of Milan, Milan, Italy
| | - Filippo Geuna
- Department of Agricultural and Environmental Sciences – Production, Landscape, Agroenergy (DISAA), University of Milan, Milan, Italy
| |
Collapse
|
45
|
Kim S, Kim N, Kang HM, Jang HJ, Lee AC, Na KJ. Canine Somatic Mutations from Whole-Exome Sequencing of B-Cell Lymphomas in Six Canine Breeds-A Preliminary Study. Animals (Basel) 2023; 13:2846. [PMID: 37760246 PMCID: PMC10525272 DOI: 10.3390/ani13182846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/05/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
Canine lymphoma (CL) is one of the most common malignant tumors in dogs. The cause of CL remains unclear. Genetic mutations that have been suggested as possible causes of CL are not fully understood. Whole-exome sequencing (WES) is a time- and cost-effective method for detecting genetic variants targeting only the protein-coding regions (exons) that are part of the entire genome region. A total of eight patients with B-cell lymphomas were recruited, and WES analysis was performed on whole blood and lymph node aspirate samples from each patient. A total of 17 somatic variants (GOLIM4, ITM2B, STN1, UNC79, PLEKHG4, BRF1, ENSCAFG00845007156, SEMA6B, DSC1, TNFAIP1, MYLK3, WAPL, ADORA2B, LOXHD1, GP6, AZIN1, and NCSTN) with moderate to high impact were identified by WES analysis. Through a Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of 17 genes with somatic mutations, a total of 16 pathways were identified. Overall, the somatic mutations identified in this study suggest novel candidate mutations for CL, and further studies are needed to confirm the role of these mutations.
Collapse
Affiliation(s)
- Sungryong Kim
- Laboratory of Veterinary Laboratory Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju 28644, Republic of Korea; (S.K.); (H.-M.K.)
| | - Namphil Kim
- Biophotonics and Nano Engineering Laboratory, Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea;
| | - Hyo-Min Kang
- Laboratory of Veterinary Laboratory Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju 28644, Republic of Korea; (S.K.); (H.-M.K.)
| | - Hye-Jin Jang
- Department of Biomedical Laboratory Science, Daegu Health College, Daegu 41453, Republic of Korea;
| | | | - Ki-Jeong Na
- Laboratory of Veterinary Laboratory Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju 28644, Republic of Korea; (S.K.); (H.-M.K.)
| |
Collapse
|
46
|
Wang Z, Lin X, Luo X, Xiao J, Zhang Y, Xu J, Wang S, Zhao F, Wang H, Zheng H, Zhang W, Lin C, Tan Z, Cao L, Wang Z, Tan Y, Chen W, Cao Y, Guo X, Pittenger C, Luo X. Pleiotropic Association of CACNA1C Variants With Neuropsychiatric Disorders. Schizophr Bull 2023; 49:1174-1184. [PMID: 37306960 PMCID: PMC10483336 DOI: 10.1093/schbul/sbad073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
BACKGROUND Neuropsychiatric disorders are highly heritable and have overlapping genetic underpinnings. Single nucleotide polymorphisms (SNPs) in the gene CACNA1C have been associated with several neuropsychiatric disorders, across multiple genome-wide association studies. METHOD A total of 70,711 subjects from 37 independent cohorts with 13 different neuropsychiatric disorders were meta-analyzed to identify overlap of disorder-associated SNPs within CACNA1C. The differential expression of CACNA1C mRNA in five independent postmortem brain cohorts was examined. Finally, the associations of disease-sharing risk alleles with total intracranial volume (ICV), gray matter volumes (GMVs) of subcortical structures, cortical surface area (SA), and average cortical thickness (TH) were tested. RESULTS Eighteen SNPs within CACNA1C were nominally associated with more than one neuropsychiatric disorder (P < .05); the associations shared among schizophrenia, bipolar disorder, and alcohol use disorder survived false discovery rate correction (five SNPs with P < 7.3 × 10-4 and q < 0.05). CACNA1C mRNA was differentially expressed in brains from individuals with schizophrenia, bipolar disorder, and Parkinson's disease, relative to controls (three SNPs with P < .01). Risk alleles shared by schizophrenia, bipolar disorder, substance dependence, and Parkinson's disease were significantly associated with ICV, GMVs, SA, or TH (one SNP with P ≤ 7.1 × 10-3 and q < 0.05). CONCLUSION Integrating multiple levels of analyses, we identified CACNA1C variants associated with multiple psychiatric disorders, and schizophrenia and bipolar disorder were most strongly implicated. CACNA1C variants may contribute to shared risk and pathophysiology in these conditions.
Collapse
Affiliation(s)
- Zuxing Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, China
- Sichuan Provincial Center for Mental Health, The Center of Psychosomatic Medicine of Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Xiandong Lin
- Laboratory of Radiation Oncology and Radiobiology, Fujian Provincial Cancer Hospital, the Teaching Hospital of Fujian Medical University, Fuzhou, Fujian 350014, China
| | - Xinqun Luo
- Department of Neurosurgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350001, China
| | - Jun Xiao
- Sichuan Provincial Center for Mental Health, The Center of Psychosomatic Medicine of Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Yong Zhang
- Tianjin Mental Health Center, Tianjin 300180, China
| | - Jianying Xu
- Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong 519000, China
| | - Shibin Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, China
| | - Fen Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, China
| | - Huifen Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, China
| | - Hangxiao Zheng
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, China
| | - Wei Zhang
- Department of Pharmacology, Institute of Chinese Integrative Medicine, Hebei Medical University, Shijiazhuang, 050017, P. R. China
| | - Chen Lin
- Beijing Huilongguan Hospital, Peking University Huilongguan School of Clinical Medicine, Beijing 100096, China
| | - Zewen Tan
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China
| | - Liping Cao
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China
| | - Zhiren Wang
- Beijing Huilongguan Hospital, Peking University Huilongguan School of Clinical Medicine, Beijing 100096, China
| | - Yunlong Tan
- Beijing Huilongguan Hospital, Peking University Huilongguan School of Clinical Medicine, Beijing 100096, China
| | - Wenzhong Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, China
| | - Yuping Cao
- Department of Psychiatry, Second Xiangya Hospital, Central South University; China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Changsha, Hunan 410011, China
| | - Xiaoyun Guo
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of medicine, Shanghai 200030, China
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, US
| | - Christopher Pittenger
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, US
| | - Xingguang Luo
- Beijing Huilongguan Hospital, Peking University Huilongguan School of Clinical Medicine, Beijing 100096, China
| |
Collapse
|
47
|
Singh A, Hasan A, Agrawal AF. An investigation of the sex-specific genetic architecture of fitness in Drosophila melanogaster. Evolution 2023; 77:2015-2028. [PMID: 37329263 DOI: 10.1093/evolut/qpad107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 05/14/2023] [Accepted: 06/13/2023] [Indexed: 06/19/2023]
Abstract
In dioecious populations, the sexes employ divergent reproductive strategies to maximize fitness and, as a result, genetic variants can affect fitness differently in males and females. Moreover, recent studies have highlighted an important role of the mating environment in shaping the strength and direction of sex-specific selection. Here, we measure adult fitness for each sex of 357 lines from the Drosophila Synthetic Population Resource in two different mating environments. We analyze the data using three different approaches to gain insight into the sex-specific genetic architecture for fitness: classical quantitative genetics, genomic associations, and a mutational burden approach. The quantitative genetics analysis finds that on average segregating genetic variation in this population has concordant fitness effects both across the sexes and across mating environments. We do not find specific genomic regions with strong associations with either sexually antagonistic (SA) or sexually concordant (SC) fitness effects, yet there is modest evidence of an excess of genomic regions with weak associations, with both SA and SC fitness effects. Our examination of mutational burden indicates stronger selection against indels and loss-of-function variants in females than in males.
Collapse
Affiliation(s)
- Amardeep Singh
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
| | - Asad Hasan
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
| | - Aneil F Agrawal
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
48
|
Li Z, Chen L. Predicting functional consequences of SNPs on mRNA translation via machine learning. Nucleic Acids Res 2023; 51:7868-7881. [PMID: 37427781 PMCID: PMC10450169 DOI: 10.1093/nar/gkad576] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 05/18/2023] [Accepted: 06/23/2023] [Indexed: 07/11/2023] Open
Abstract
The functional impact of single nucleotide polymorphisms (SNPs) on translation has yet to be considered when prioritizing disease-causing SNPs from genome-wide association studies (GWAS). Here we apply machine learning models to genome-wide ribosome profiling data to predict SNP function by forecasting ribosome collisions during mRNA translation. SNPs causing remarkable ribosome occupancy changes are named RibOc-SNPs (Ribosome-Occupancy-SNPs). We found that disease-related SNPs tend to cause notable changes in ribosome occupancy, suggesting translational regulation as an essential pathogenesis step. Nucleotide conversions, such as 'G → T', 'T → G' and 'C → A', are enriched in RibOc-SNPs, with the most significant impact on ribosome occupancy, while 'A → G' (or 'A→ I' RNA editing) and 'G → A' are less deterministic. Among amino acid conversions, 'Glu → stop (codon)' shows the most significant enrichment in RibOc-SNPs. Interestingly, there is selection pressure on stop codons with a lower collision likelihood. RibOc-SNPs are enriched at the 5'-coding sequence regions, implying hot spots of translation initiation regulation. Strikingly, ∼22.1% of the RibOc-SNPs lead to opposite changes in ribosome occupancy on alternative transcript isoforms, suggesting that SNPs can amplify the differences between splicing isoforms by oppositely regulating their translation efficiency.
Collapse
Affiliation(s)
- Zheyu Li
- Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, 925 Bloom Walk, Los Angeles, CA 90089, USA
| | - Liang Chen
- Department of Quantitative and Computational Biology, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089, USA
| |
Collapse
|
49
|
Neustaeter A, Brito LF, Hanna WJB, Baird JD, Schenkel FS. Investigating the Genetic Background of Spastic Syndrome in North American Holstein Cattle Based on Heritability, Genome-Wide Association, and Functional Genomic Analyses. Genes (Basel) 2023; 14:1479. [PMID: 37510383 PMCID: PMC10378964 DOI: 10.3390/genes14071479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 07/12/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
Spastic syndrome is a chronic, progressive disorder of adult cattle characterized by episodes of sudden involuntary muscle contractions or spasms of the extensor and abductor muscles of one or both hind limbs. In this study, a case-control genome-wide association study (GWAS) was performed on an adult Holstein cattle cohort. Based on the 50 K and high-density (HD) SNP panel GWAS, we identified 98 and 522 SNPs, respectively. The most significant genomic regions identified are located on BTA9 at approximately 87 megabase pairs (Mb) and BTA7 between 1 and 20 Mb. Functional analyses of significant SNPs identified genes associated with muscle contraction, neuron growth or regulation, and calcium or sodium ion movement. Two candidate genes (FIG4 and FYN) were identified. FIG4 is ubiquitously expressed in skeletal muscle and FYN is involved with processes such as forebrain development, neurogenesis, locomotion, neurogenesis, synapse development, neuron migration, and the positive regulation of neuron projection development. The CACNA1A gene, which codes for a calcium channel subunit protein in the calcium signaling pathway, seems the most compelling candidate gene, as many calcium ion channel disorders are non-degenerative, and produce spastic phenotypes. These results suggest that spastic syndrome is of polygenic inheritance, with important genomic areas of interest on BTA7 and BTA9.
Collapse
Affiliation(s)
- Anna Neustaeter
- Centre for Genetic Improvement of Livestock (CGIL), Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada
- Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Luiz F Brito
- Centre for Genetic Improvement of Livestock (CGIL), Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA
| | - W J Brad Hanna
- Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - John D Baird
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Flavio S Schenkel
- Centre for Genetic Improvement of Livestock (CGIL), Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada
| |
Collapse
|
50
|
Saha A, Kapadia SF, Vala KB, Patel HV. Clinical utility of genetic testing in Indian children with kidney diseases. BMC Nephrol 2023; 24:212. [PMID: 37464296 DOI: 10.1186/s12882-023-03240-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 06/11/2023] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND Kidney diseases with genetic etiology in children present with an overlapping spectrum of manifestations. We aimed to analyze the clinical utility of genetic testing in the diagnosis and management of suspected genetic kidney diseases in children. METHODS In this retrospective study, children ≤ 18 years in whom a genetic test was ordered were included. Clinical indications for genetic testing were categorized as Glomerular diseases, nephrolithiasis and/or nephrocalcinoses, tubulopathies, cystic kidney diseases, congenital abnormality of kidney and urinary tract, chronic kidney disease of unknown aetiology and others. Clinical exome sequencing was the test of choice. Other genetic tests ordered were sanger sequencing, gene panel, multiplex ligation-dependent probe amplification and karyotyping. The pathogenicity of the genetic variant was interpreted as per the American College of Medical Genetics classification. RESULTS A total of 86 samples were sent for genetic testing from 76 index children, 8 parents and 2 fetuses. A total of 74 variants were reported in 47 genes. Out of 74 variants, 42 were missense, 9 nonsense, 12 frameshifts, 1 indel, 5 affected the splicing regions and 5 were copy number variants. Thirty-two were homozygous, 36 heterozygous and 6 were hemizygous variants. Twenty-four children (31.6%) had pathogenic and 11 (14.5%) had likely pathogenic variants. Twenty-four children (31.6%) had variants of uncertain significance. No variants were reported in 17 children (22.3%). A genetic diagnosis was made in 35 children with an overall yield of 46%. The diagnostic yield was 29.4% for glomerular diseases, 53.8% for tubular disorders, 81% for nephrolithiasis and/or nephrocalcinoses, 60% for cystic kidney diseases and 50% for chronic kidney disease of unknown etiology. Genetic testing made a new diagnosis or changed the diagnosis in 15 children (19.7%). CONCLUSION Nearly half (46%) of the children tested for a genetic disease had a genetic diagnosis. Genetic testing confirmed the clinical diagnoses, changed the clinical diagnoses or made a new diagnosis which helped in personalized management.
Collapse
Affiliation(s)
- Anshuman Saha
- Department of Pediatric Nephrology, Institute of Kidney Diseases and Research Centre, Gujarat University of Transplantation Sciences, Ahmedabad, India.
| | - Shahenaz F Kapadia
- Department of Pediatric Nephrology, Institute of Kidney Diseases and Research Centre, Gujarat University of Transplantation Sciences, Ahmedabad, India
| | - Kinnari B Vala
- Department of Pediatric Nephrology, Institute of Kidney Diseases and Research Centre, Gujarat University of Transplantation Sciences, Ahmedabad, India
| | - Himanshu V Patel
- Department of Pediatric Nephrology, Institute of Kidney Diseases and Research Centre, Gujarat University of Transplantation Sciences, Ahmedabad, India
- Department of Nephrology, Institute of Kidney Diseases and Research Centre, Gujarat University of Transplantation Sciences, Ahmedabad, India
| |
Collapse
|