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Elmubarak I, Shril S, Mansour B, Bao A, Kolvenbach C, Desoky SE, Shalaby M, Kari J, Hildebrandt F, Schneider R. Recessive variants in MYO1C as a potential novel cause of proteinuric kidney disease. RESEARCH SQUARE 2024:rs.3.rs-4183332. [PMID: 38659911 PMCID: PMC11042399 DOI: 10.21203/rs.3.rs-4183332/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Background Steroid-resistant nephrotic syndrome is the second leading cause of chronic kidney disease among patients <25 years of age. Through whole exome sequencing, identification of >65 monogenic causes has rendered insights into disease mechanisms of nephrotic syndrome. Methods To elucidate novel monogenic causes of NS, we combined homozygosity mapping with ES in a worldwide cohort of 1649 pediatric patients with NS. Results We identified homozygous missense variants in MYO1C in two unrelated children with nephrotic syndrome (c.292C>T, p.R98W; c.2273 A>T, p.K758M). We evaluated publicly available kidney single-cell RNA sequencing datasets and found MYO1Cto be predominantly expressed in podocytes. We then performed structural modeling in molecular viewer PyMol using the super function aligning shared regions within both partial structures of MYO1C (4byf and 4r8g). In both structures, calmodulin, a common regulator of myosin activity, is shown to bind to the IQ motif. At both residue sites (K758; R98), there are ion-ion interactions stabilizing intradomain and ligand interactions: R98 binds to nearby D220 within the Myosin Motor Domain and K758 binds to E14 on a calmodulin molecule. Variants of these charged residues to non-charged amino acids could ablate these ionic interactions, weakening protein structure and function establishing the impact of these variants. Conclusion We here identified recessive variants in MYO1C as a potential novel cause of nephrotic syndrome in children.
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Affiliation(s)
| | - Shirlee Shril
- Boston Childrens Hospital: Boston Children's Hospital
| | | | - Aaron Bao
- Boston Childrens Hospital: Boston Children's Hospital
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2
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Kock KH, Kimes PK, Gisselbrecht SS, Inukai S, Phanor SK, Anderson JT, Ramakrishnan G, Lipper CH, Song D, Kurland JV, Rogers JM, Jeong R, Blacklow SC, Irizarry RA, Bulyk ML. DNA binding analysis of rare variants in homeodomains reveals homeodomain specificity-determining residues. Nat Commun 2024; 15:3110. [PMID: 38600112 PMCID: PMC11006913 DOI: 10.1038/s41467-024-47396-0] [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: 08/16/2023] [Accepted: 03/29/2024] [Indexed: 04/12/2024] Open
Abstract
Homeodomains (HDs) are the second largest class of DNA binding domains (DBDs) among eukaryotic sequence-specific transcription factors (TFs) and are the TF structural class with the largest number of disease-associated mutations in the Human Gene Mutation Database (HGMD). Despite numerous structural studies and large-scale analyses of HD DNA binding specificity, HD-DNA recognition is still not fully understood. Here, we analyze 92 human HD mutants, including disease-associated variants and variants of uncertain significance (VUS), for their effects on DNA binding activity. Many of the variants alter DNA binding affinity and/or specificity. Detailed biochemical analysis and structural modeling identifies 14 previously unknown specificity-determining positions, 5 of which do not contact DNA. The same missense substitution at analogous positions within different HDs often exhibits different effects on DNA binding activity. Variant effect prediction tools perform moderately well in distinguishing variants with altered DNA binding affinity, but poorly in identifying those with altered binding specificity. Our results highlight the need for biochemical assays of TF coding variants and prioritize dozens of variants for further investigations into their pathogenicity and the development of clinical diagnostics and precision therapies.
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Affiliation(s)
- Kian Hong Kock
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
- Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA, USA
| | - Patrick K Kimes
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stephen S Gisselbrecht
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
| | - Sachi Inukai
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
| | - Sabrina K Phanor
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
| | - James T Anderson
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
| | - Gayatri Ramakrishnan
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
- Boston Bangalore Biosciences Beginnings Program, Harvard University, Cambridge, MA, USA
| | - Colin H Lipper
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA, USA
| | - Dongyuan Song
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jesse V Kurland
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
| | - Julia M Rogers
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
- Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA, USA
| | - Raehoon Jeong
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
- Bioinformatics and Integrative Genomics Graduate Program, Harvard University, Cambridge, MA, USA
| | - Stephen C Blacklow
- Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA, USA
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA, USA
- Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA, USA
| | - Rafael A Irizarry
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Martha L Bulyk
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.
- Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA, USA.
- Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA, USA.
- Bioinformatics and Integrative Genomics Graduate Program, Harvard University, Cambridge, MA, USA.
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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3
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Li Y, Xu C, Zhao F, Liu Q, Qiu X, Li M, Yang Y, Yu S, Tong H, Zhang L, Chen B, Qu L, Yu Z. Podocyte-specific Nup160 knockout mice develop nephrotic syndrome and glomerulosclerosis. Hum Mol Genet 2024; 33:667-676. [PMID: 38224683 DOI: 10.1093/hmg/ddad211] [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: 06/04/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 01/17/2024] Open
Abstract
More than 60 monogenic genes mutated in steroid-resistant nephrotic syndrome (SRNS) have been identified. Our previous study found that mutations in nucleoporin 160 kD (NUP160) are implicated in SRNS. The NUP160 gene encodes a component of the nuclear pore complex. Recently, two siblings with homozygous NUP160 mutations presented with SRNS and a nervous system disorder. However, replication of nephrotic syndrome (NS)-associated phenotypes in a mammalian model following loss of Nup160 is needed to prove that NUP160 mutations cause SRNS. Here, we generated a podocyte-specific Nup160 knockout (Nup160podKO) mouse model using CRISPR/Cas9 and Cre/loxP technologies. We investigated NS-associated phenotypes in these Nup160podKO mice. We verified efficient abrogation of Nup160 in Nup160podKO mice at both the DNA and protein levels. We showed that Nup160podKO mice develop typical signs of NS. Nup160podKO mice exhibited progression of proteinuria to average albumin/creatinine ratio (ACR) levels of 15.06 ± 2.71 mg/mg at 26 weeks, and had lower serum albumin levels of 13.13 ± 1.34 g/l at 30 weeks. Littermate control mice had urinary ACR mean values of 0.03 mg/mg and serum albumin values of 22.89 ± 0.34 g/l at the corresponding ages. Further, Nup160podKO mice exhibited glomerulosclerosis compared with littermate control mice. Podocyte-specific Nup160 knockout in mice led to NS and glomerulosclerosis. Thus, our findings strongly support that mutations in NUP160 cause SRNS. The newly generated Nup160podKO mice are a reliable mammalian model for future study of the pathogenesis of NUP160-associated SRNS.
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Affiliation(s)
- Yuanyuan Li
- College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Maternity and Child Health Hospital, 18 Daoshan Road, Fuzhou, Fujian 350000, China
- College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Department of Nephrology, Rheumatology and Immunology, Fujian Children's Hospital, 966 Heng Yu Road, Fuzhou, Fujian 350014, China
- Fujian Key Laboratory of Women and Children's Critical Diseases Research, 18 Daoshan Road, Fuzhou, Fujian 350000, China
| | - Chan Xu
- College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Maternity and Child Health Hospital, 18 Daoshan Road, Fuzhou, Fujian 350000, China
- College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Department of Nephrology, Rheumatology and Immunology, Fujian Children's Hospital, 966 Heng Yu Road, Fuzhou, Fujian 350014, China
- Fujian Key Laboratory of Women and Children's Critical Diseases Research, 18 Daoshan Road, Fuzhou, Fujian 350000, China
- Department of Pediatrics, Fuzong Clinical Medical College, Fujian Medical University, 156 Xi Er Huan Bei Road, Fuzhou, Fujian 350025, China
| | - Feng Zhao
- College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Department of Nephrology, Rheumatology and Immunology, Fujian Children's Hospital, 966 Heng Yu Road, Fuzhou, Fujian 350014, China
| | - Qinghong Liu
- Department of Pathology, Fuzong Clinical Medical College, Fujian Medical University, 156 Xi Er Huan Bei Road, Fuzhou, Fujian 350025, China
| | - Xiaojian Qiu
- College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Department of Nephrology, Rheumatology and Immunology, Fujian Children's Hospital, 966 Heng Yu Road, Fuzhou, Fujian 350014, China
| | - Min Li
- Department of Pathology, Fuzong Clinical Medical College, Fujian Medical University, 156 Xi Er Huan Bei Road, Fuzhou, Fujian 350025, China
| | - Yonghui Yang
- College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Department of Nephrology, Rheumatology and Immunology, Fujian Children's Hospital, 966 Heng Yu Road, Fuzhou, Fujian 350014, China
| | - Shentong Yu
- Department of Pathology, Fuzong Clinical Medical College, Fujian Medical University, 156 Xi Er Huan Bei Road, Fuzhou, Fujian 350025, China
| | - Huajuan Tong
- College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Department of Nephrology, Rheumatology and Immunology, Fujian Children's Hospital, 966 Heng Yu Road, Fuzhou, Fujian 350014, China
| | - Lifang Zhang
- Department of Pathology, Fuzong Clinical Medical College, Fujian Medical University, 156 Xi Er Huan Bei Road, Fuzhou, Fujian 350025, China
| | - Bing Chen
- College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Department of Nephrology, Rheumatology and Immunology, Fujian Children's Hospital, 966 Heng Yu Road, Fuzhou, Fujian 350014, China
| | - Lijuan Qu
- Department of Pathology, Fuzong Clinical Medical College, Fujian Medical University, 156 Xi Er Huan Bei Road, Fuzhou, Fujian 350025, China
| | - Zihua Yu
- College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Maternity and Child Health Hospital, 18 Daoshan Road, Fuzhou, Fujian 350000, China
- College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Department of Nephrology, Rheumatology and Immunology, Fujian Children's Hospital, 966 Heng Yu Road, Fuzhou, Fujian 350014, China
- Fujian Key Laboratory of Women and Children's Critical Diseases Research, 18 Daoshan Road, Fuzhou, Fujian 350000, China
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4
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Riedhammer KM, Nguyen TMT, Koşukcu C, Calzada-Wack J, Li Y, Assia Batzir N, Saygılı S, Wimmers V, Kim GJ, Chrysanthou M, Bakey Z, Sofrin-Drucker E, Kraiger M, Sanz-Moreno A, Amarie OV, Rathkolb B, Klein-Rodewald T, Garrett L, Hölter SM, Seisenberger C, Haug S, Schlosser P, Marschall S, Wurst W, Fuchs H, Gailus-Durner V, Wuttke M, Hrabe de Angelis M, Ćomić J, Akgün Doğan Ö, Özlük Y, Taşdemir M, Ağbaş A, Canpolat N, Orenstein N, Çalışkan S, Weber RG, Bergmann C, Jeanpierre C, Saunier S, Lim TY, Hildebrandt F, Alhaddad B, Basel-Salmon L, Borovitz Y, Wu K, Antony D, Matschkal J, Schaaf CW, Renders L, Schmaderer C, Rogg M, Schell C, Meitinger T, Heemann U, Köttgen A, Arnold SJ, Ozaltin F, Schmidts M, Hoefele J. Implication of transcription factor FOXD2 dysfunction in syndromic congenital anomalies of the kidney and urinary tract (CAKUT). Kidney Int 2024; 105:844-864. [PMID: 38154558 PMCID: PMC10957342 DOI: 10.1016/j.kint.2023.11.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 11/04/2023] [Accepted: 11/28/2023] [Indexed: 12/30/2023]
Abstract
Congenital anomalies of the kidney and urinary tract (CAKUT) are the predominant cause for chronic kidney disease below age 30 years. Many monogenic forms have been discovered due to comprehensive genetic testing like exome sequencing. However, disease-causing variants in known disease-associated genes only explain a proportion of cases. Here, we aim to unravel underlying molecular mechanisms of syndromic CAKUT in three unrelated multiplex families with presumed autosomal recessive inheritance. Exome sequencing in the index individuals revealed three different rare homozygous variants in FOXD2, encoding a transcription factor not previously implicated in CAKUT in humans: a frameshift in the Arabic and a missense variant each in the Turkish and the Israeli family with segregation patterns consistent with autosomal recessive inheritance. CRISPR/Cas9-derived Foxd2 knockout mice presented with a bilateral dilated kidney pelvis accompanied by atrophy of the kidney papilla and mandibular, ophthalmologic, and behavioral anomalies, recapitulating the human phenotype. In a complementary approach to study pathomechanisms of FOXD2-dysfunction-mediated developmental kidney defects, we generated CRISPR/Cas9-mediated knockout of Foxd2 in ureteric bud-induced mouse metanephric mesenchyme cells. Transcriptomic analyses revealed enrichment of numerous differentially expressed genes important for kidney/urogenital development, including Pax2 and Wnt4 as well as gene expression changes indicating a shift toward a stromal cell identity. Histology of Foxd2 knockout mouse kidneys confirmed increased fibrosis. Further, genome-wide association studies suggest that FOXD2 could play a role for maintenance of podocyte integrity during adulthood. Thus, our studies help in genetic diagnostics of monogenic CAKUT and in understanding of monogenic and multifactorial kidney diseases.
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Affiliation(s)
- Korbinian M Riedhammer
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany; Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany
| | - Thanh-Minh T Nguyen
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Can Koşukcu
- Department of Bioinformatics, Hacettepe University Institute of Health Sciences, Ankara, Türkiye
| | - Julia Calzada-Wack
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Yong Li
- Institute of Genetic Epidemiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Nurit Assia Batzir
- Pediatric Genetics Unit, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | - Seha Saygılı
- Department of Pediatric Nephrology, Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Istanbul, Türkiye
| | - Vera Wimmers
- Institute of Experimental and Clinical Pharmacology and Toxicology, Faculty of Medicine, University of Freiburg, Germany; Center for Pediatrics and Adolescent Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Gwang-Jin Kim
- Institute of Experimental and Clinical Pharmacology and Toxicology, Faculty of Medicine, University of Freiburg, Germany
| | - Marialena Chrysanthou
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Zeineb Bakey
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands; Center for Pediatrics and Adolescent Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Efrat Sofrin-Drucker
- Pediatric Genetics Unit, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | - Markus Kraiger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Adrián Sanz-Moreno
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Oana V Amarie
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Birgit Rathkolb
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University Munich, Munich, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Tanja Klein-Rodewald
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Lillian Garrett
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Sabine M Hölter
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Chair of Developmental Genetics, TUM School of Life Sciences (SoLS), Technical University of Munich, Freising, Germany
| | - Claudia Seisenberger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Stefan Haug
- Institute of Genetic Epidemiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Pascal Schlosser
- Institute of Genetic Epidemiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Susan Marschall
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Chair of Developmental Genetics, TUM School of Life Sciences (SoLS), Technical University of Munich, Freising, Germany; Deutsches Institut für Neurodegenerative Erkrankungen (DZNE) Site Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Adolf-Butenandt-Institut, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Matthias Wuttke
- Institute of Genetic Epidemiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Martin Hrabe de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany; Chair of Experimental Genetics, TUM School of Life Sciences (SoLS), Technical University of Munich, Freising, Germany
| | - Jasmina Ćomić
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany; Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany
| | - Özlem Akgün Doğan
- Department of Pediatrics, Division of Pediatric Genetics, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Türkiye
| | - Yasemin Özlük
- Department of Pathology, Istanbul University, Istanbul Faculty of Medicine, Istanbul, Türkiye
| | - Mehmet Taşdemir
- Department of Pediatric Nephrology, Istinye University Faculty of Medicine, Istanbul, Türkiye
| | - Ayşe Ağbaş
- Department of Pediatric Nephrology, Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Istanbul, Türkiye
| | - Nur Canpolat
- Department of Pediatric Nephrology, Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Istanbul, Türkiye
| | - Naama Orenstein
- Pediatric Genetics Unit, Schneider Children's Medical Center of Israel, Petah Tikva, Israel; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Salim Çalışkan
- Department of Pediatric Nephrology, Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Istanbul, Türkiye
| | - Ruthild G Weber
- Department of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Carsten Bergmann
- Medizinische Genetik Mainz, Limbach Genetics, Mainz, Germany; Department of Medicine IV, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Cecile Jeanpierre
- Laboratoire des Maladies Rénales Héréditaires, Institut Imagine, Université Paris Cité, INSERM UMR 1163, Paris, France
| | - Sophie Saunier
- Laboratoire des Maladies Rénales Héréditaires, Institut Imagine, Université Paris Cité, INSERM UMR 1163, Paris, France
| | - Tze Y Lim
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York, USA
| | - Friedhelm Hildebrandt
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Bader Alhaddad
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany
| | - Lina Basel-Salmon
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel; Felsenstein Medical Research Center, Petah Tikva, Israel
| | - Yael Borovitz
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Institute of Nephrology, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | - Kaman Wu
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Dinu Antony
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands; Center for Pediatrics and Adolescent Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Julia Matschkal
- Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany
| | - Christian W Schaaf
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany; Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany
| | - Lutz Renders
- Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany
| | - Christoph Schmaderer
- Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany
| | - Manuel Rogg
- Institute of Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Christoph Schell
- Institute of Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany
| | - Uwe Heemann
- Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; CIBSS - Center for Integrative Biological Signaling Studies, University of Freiburg, Freiburg, Germany
| | - Sebastian J Arnold
- Institute of Experimental and Clinical Pharmacology and Toxicology, Faculty of Medicine, University of Freiburg, Germany; CIBSS - Center for Integrative Biological Signaling Studies, University of Freiburg, Freiburg, Germany
| | - Fatih Ozaltin
- Department of Bioinformatics, Hacettepe University Institute of Health Sciences, Ankara, Türkiye; Department of Pediatric Nephrology, Hacettepe University Faculty of Medicine, Sihhiye, Ankara, Türkiye; Nephrogenetics Laboratory, Hacettepe University Faculty of Medicine, Sihhiye, Ankara, Türkiye; Center for Genomics and Rare Diseases, Hacettepe University, Sihhiye, Ankara, Türkiye.
| | - Miriam Schmidts
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands; Center for Pediatrics and Adolescent Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; CIBSS - Center for Integrative Biological Signaling Studies, University of Freiburg, Freiburg, Germany.
| | - Julia Hoefele
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany.
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5
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Wilson GN, Tonk VS. Clinical-Genomic Analysis of 1261 Patients with Ehlers-Danlos Syndrome Outlines an Articulo-Autonomic Gene Network (Entome). Curr Issues Mol Biol 2024; 46:2620-2643. [PMID: 38534782 DOI: 10.3390/cimb46030166] [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: 01/01/2024] [Revised: 02/08/2024] [Accepted: 03/08/2024] [Indexed: 03/28/2024] Open
Abstract
Systematic evaluation of 80 history and 40 history findings diagnosed 1261 patients with Ehlers-Danlos syndrome (EDS) by direct or online interaction, and 60 key findings were selected for their relation to clinical mechanisms and/or management. Genomic testing results in 566 of these patients supported EDS relevance by their differences from those in 82 developmental disability patients and by their association with general rather than type-specific EDS findings. The 437 nuclear and 79 mitochondrial DNA changes included 71 impacting joint matrix (49 COL5), 39 bone (30 COL1/2/9/11), 22 vessel (12 COL3/8VWF), 43 vessel-heart (17FBN1/11TGFB/BR), 59 muscle (28 COL6/12), 56 neural (16 SCN9A/10A/11A), and 74 autonomic (13 POLG/25porphyria related). These genes were distributed over all chromosomes but the Y, a network analogized to an 'entome' where DNA change disrupts truncal mechanisms (skin constraint, neuromuscular support, joint vessel flexibility) and produces a mirroring cascade of articular and autonomic symptoms. The implied sequences of genes from nodal proteins to hypermobility to branching tissue laxity or dysautonomia symptoms would be ideal for large language/artificial intelligence analyses.
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Affiliation(s)
- Golder N Wilson
- Department of Pediatrics, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- KinderGenome Genetics Private Practice, 5347 W Mockingbird, Dallas, TX 75209, USA
| | - Vijay S Tonk
- Director of Medical Genetics and the Cytogenomic Laboratory, Department of Pediatrics, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
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6
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Faundes V, Repetto GM, Valdivia LE. Discovery of novel genetic syndromes in Latin America: Opportunities and challenges. Genet Mol Biol 2024; 47Suppl 1:e20230318. [PMID: 38466870 DOI: 10.1590/1678-4685-gmb-2023-0318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 02/06/2024] [Indexed: 03/13/2024] Open
Abstract
Latin America (LatAm) has a rich and historically significant role in delineating both novel and well-documented genetic disorders. However, the ongoing advancements in the field of human genetics pose challenges to the relatively slow adaption of LatAm in the field. Here, we describe past and present contributions of LatAm to the discovery of novel genetic disorders, often referred as novel gene-disease associations (NGDA). We also describe the current methodologies for discovery of NGDA, taking into account the latest developments in genomics. We provide an overview of opportunities and challenges for NGDA research in LatAm considering the steps currently performed to identify and validate such associations. Given the multiple and diverse needs of populations and countries in LatAm, it is imperative to foster collaborations amongst patients, indigenous people, clinicians and scientists. Such collaborative effort is essential for sustaining and enhancing the LatAm´s contributions to the field of NGDA.
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Affiliation(s)
- Víctor Faundes
- Universidad de Chile, Instituto de Nutrición y Tecnología de los Alimentos, Laboratorio de Genética y Enfermedades Metabólicas, Santiago, Chile
| | - Gabriela M Repetto
- Universidad del Desarrollo, Facultad de Medicina, Instituto de Ciencias e Innovación en Medicina, Centro de Genética y Genómica, Programa de Enfermedades Raras, Santiago, Chile
| | - Leonardo E Valdivia
- Universidad Mayor, Facultad de Ciencias, Centro de Biología Integrativa, Santiago, Chile
- Universidad Mayor, Facultad de Ciencias, Escuela de Biotecnología, Santiago, Chile
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7
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Fasaludeen A, McTague A, Jose M, Banerjee M, Sundaram S, Madhusoodanan UK, Radhakrishnan A, Menon RN. Genetic variant interpretation for the neurologist - A pragmatic approach in the next-generation sequencing era in childhood epilepsy. Epilepsy Res 2024; 201:107341. [PMID: 38447235 DOI: 10.1016/j.eplepsyres.2024.107341] [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: 11/27/2023] [Revised: 02/14/2024] [Accepted: 02/29/2024] [Indexed: 03/08/2024]
Abstract
Genetic advances over the past decade have enhanced our understanding of the genetic landscape of childhood epilepsy. However a major challenge for clinicians ha been understanding the rationale and systematic approach towards interpretation of the clinical significance of variant(s) detected in their patients. As the clinical paradigm evolves from gene panels to whole exome or whole genome testing including rapid genome sequencing, the number of patients tested and variants identified per patient will only increase. Each step in the process of variant interpretation has limitations and there is no single criterion which enables the clinician to draw reliable conclusions on a causal relationship between the variant and disease without robust clinical phenotyping. Although many automated online analysis software tools are available, these carry a risk of misinterpretation. This guideline provides a pragmatic, real-world approach to variant interpretation for the child neurologist. The focus will be on ascertaining aspects such as variant frequency, subtype, inheritance pattern, structural and functional consequence with regard to genotype-phenotype correlations, while refraining from mere interpretation of the classification provided in a genetic test report. It will not replace the expert advice of colleagues in clinical genetics, however as genomic investigations become a first-line test for epilepsy, it is vital that neurologists and epileptologists are equipped to navigate this landscape.
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Affiliation(s)
- Alfiya Fasaludeen
- Dept of Neurology, Sree Chitra Tirunal Institute for Medical Sciences & Technology (SCTIMST), Thiruvananthapuram, Kerala, India
| | - Amy McTague
- Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, United Kingdom; Department of Neurology, Great Ormond Street Hospital, London, United Kingdom
| | - Manna Jose
- Dept of Neurology, Sree Chitra Tirunal Institute for Medical Sciences & Technology (SCTIMST), Thiruvananthapuram, Kerala, India
| | - Moinak Banerjee
- Human Molecular Genetics Laboratory, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India
| | - Soumya Sundaram
- Dept of Neurology, Sree Chitra Tirunal Institute for Medical Sciences & Technology (SCTIMST), Thiruvananthapuram, Kerala, India
| | - U K Madhusoodanan
- Department of Biochemistry, Sree Chitra Tirunal Institute for Medical Sciences & Technology (SCTIMST), Thiruvananthapuram, Kerala, India
| | - Ashalatha Radhakrishnan
- Dept of Neurology, Sree Chitra Tirunal Institute for Medical Sciences & Technology (SCTIMST), Thiruvananthapuram, Kerala, India
| | - Ramshekhar N Menon
- Dept of Neurology, Sree Chitra Tirunal Institute for Medical Sciences & Technology (SCTIMST), Thiruvananthapuram, Kerala, India.
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Fazel-Najafabadi M, Looger LL, Rallabandi HR, Nath SK. A Multilayered Post-Genome-Wide Association Study Analysis Pipeline Defines Functional Variants and Target Genes for Systemic Lupus Erythematosus. Arthritis Rheumatol 2024. [PMID: 38369936 DOI: 10.1002/art.42829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 01/31/2024] [Accepted: 02/14/2024] [Indexed: 02/20/2024]
Abstract
OBJECTIVE Systemic lupus erythematosus (SLE), an autoimmune disease with incompletely understood etiology, has a strong genetic component. Although genome-wide association studies (GWASs) have revealed multiple SLE susceptibility loci and associated single-nucleotide polymorphisms (SNPs), the precise causal variants, target genes, cell types, tissues, and mechanisms of action remain largely unknown. METHODS Here, we report a comprehensive post-GWAS analysis using extensive bioinformatics, molecular modeling, and integrative functional genomic and epigenomic analyses to optimize fine-mapping. We compile and cross-reference immune cell-specific expression quantitative trait loci (cis- and trans-expression quantitative trait loci) with promoter capture high-throughput capture chromatin conformation (PCHi-C), allele-specific chromatin accessibility, and massively parallel reporter assay data to define predisposing variants and target genes. We experimentally validate a predicted locus using CRISPR/Cas9 genome editing, quantitative polymerase chain reaction, and Western blot. RESULTS Anchoring on 452 index SNPs, we selected 9,931 high linkage disequilibrium (r2 > 0.8) SNPs and defined 182 independent non-human leukocyte antigen (HLA) SLE loci. The 3,746 SNPs from 143 loci were identified as regulating 564 unique genes. Target genes are enriched in lupus-related tissues and associated with other autoimmune diseases. Of these, 329 SNPs (106 loci) showed significant allele-specific chromatin accessibility and/or enhancer activity, indicating regulatory potential. Using CRISPR/Cas9, we validated reference SNP identifier 57668933 (rs57668933) as a functional variant regulating multiple targets, including SLE-risk gene ELF1 in B cells. CONCLUSION We demonstrate and validate post-GWAS strategies for using multidimensional data to prioritize likely causal variants with cognate gene targets underlying SLE pathogenesis. Our results provide a catalog of significantly SLE-associated SNPs and loci, target genes, and likely biochemical mechanisms to guide experimental characterization.
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Bi B, Chen X, Huang S, Peng M, Gu W, Zhu H, Ming Y. The first case of intellectual disability caused by novel compound heterozygosity for NUDT2 variants. BMC Pediatr 2024; 24:60. [PMID: 38243213 PMCID: PMC10797960 DOI: 10.1186/s12887-024-04542-3] [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: 07/16/2023] [Accepted: 01/08/2024] [Indexed: 01/21/2024] Open
Abstract
NUDT2 is an enzyme important for maintaining the intracellular level of the diadenosine tetraphosphate (Ap4A). Bi-allelic loss of function variants in NUDT2 has recently been reported as a rare cause of intellectual disability (ID). Herein, we describe a Chinese girl with ID, attention deficit hyperactivity disorder (ADHD), and motor delays with abnormal walking posture and difficulty climbing stairs, who bears compound heterozygous variants c.34 C > T (p.R12*) and c.194T > G (p.I65R) in NUDT2. Homozygous variants c.34 C > T (p.R12*) or c.186del (p.A63Qfs*3) in NUDT2 were previously reported to cause ID. This is the first patient with ID due to compound heterozygous variants in NUDT2 and p.I65R is a novel missense variant. This study enriched the genotype and phenotype of NUDT2-related ID and supported the critical developmental involvement of NUDT2.
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Affiliation(s)
- Bo Bi
- Department of Rehabilitation, Wuhan Children's Hospital, Tongji Medical Colllege, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaohong Chen
- Department of Rehabilitation, Wuhan Children's Hospital, Tongji Medical Colllege, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shan Huang
- Department of Rehabilitation, Wuhan Children's Hospital, Tongji Medical Colllege, Huazhong University of Science and Technology, Wuhan, Hubei, China
- School of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Min Peng
- Chigene (Beijing) Translational Medical Research Center Co., Ltd, Beijing, China
| | - Weiyue Gu
- Chigene (Beijing) Translational Medical Research Center Co., Ltd, Beijing, China
| | - Hongmin Zhu
- Department of Rehabilitation, Wuhan Children's Hospital, Tongji Medical Colllege, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Yangcan Ming
- Department of Pediatrics, Traditional Chinese and Western Medicine Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan No. 1 Hospital, Wuhan, Hubei, China.
- College of Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, Hubei, China.
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10
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Mori AA, Malaquias VB, Bonjour K, Ferreira GM, Bortolin RH, Borges JB, Oliveira VFD, Gonçalves RM, Faludi AA, Bastos GM, Thurow H, Sampaio MF, Ciconelli RM, Cury AN, Fajardo CM, Hirata RDC, Hirata MH. Effects of LDLR variants rs5928, rs750518671 and rs879254797 on protein structure and functional activity in HepG2 cells transfected with CRISPR/Cas9 constructs. Gene 2024; 890:147821. [PMID: 37739193 DOI: 10.1016/j.gene.2023.147821] [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: 07/12/2023] [Revised: 08/24/2023] [Accepted: 09/19/2023] [Indexed: 09/24/2023]
Abstract
Familial Hypercholesterolemia (FH) is a genetic disorder associated with premature atherosclerosis and increased risk of cardiovascular diseases. LDLR deleterious mutations are associated with FH, however the role of some missense variants in FH pathogenicity remains to be elucidated. This study explored the predictive impact of LDLR missense variants on protein structure and investigated their functional effects on LDLR expression in HepG2 cells transfected with CRISPR/Cas9 constructs. FH (n = 287) and non-FH patients (n = 45) were selected, and lipid profile was obtained from medical records. LDLR variants were identified using an exon-targeted gene sequencing strategy, considering its cost-effective to increase accuracy in the identification step of the most likely FH-related variants in a less laborious process. LDLR variants were selected based on conflicting pathogenicity results found in Clinvar, in silico prediction tools, affected LDLR domains, and less common variants considering minor allele frequency < 0.05. Molecular modeling studies were used to predict the effects of LDLR missense variants on protein structure. Recombinant LDLR variants were constructed using CRISPR/Cas9 system and were used to transfect HepG2 cells. Functional assays in transfected cells were performed to assess LDLR expression using flow cytometry and western blotting, and LDLR activity using flow cytometry and confocal microscopy. The variants rs121908039 (c.551G>A, p.C184Y), rs879254797 (c.1118G>A, p.G373D), rs28941776 (c.1646G>A, p.G549D), rs750518671 (c.2389G>C, p.V797L), rs5928 (c.2441G>A, p.R814Q) and rs137853964 (c.2479G>A, p.V827I) were selected for molecular docking analysis. The p.C184Y exhibited a favorable energy change for protein stability due to its interaction with EGF-A/EGF-B regions; p.G373D and p.G549D displayed intermediate energy changes; and p.R814Q and p.V827I showed smaller energy changes. The results of functional assays showed that p.G373D, p.V797L and p.R814Q reduced LDLR expression and activity (p < 0.05). Microscopic analysis of the p.V797L and p.G373D variants revealed altered lipid localization and accumulation in transfected HepG2 cells. Carriers of p.G549D, p.V797L and p.R814Q had higher LDL cholesterol levels than non-FH group, and (p < 0.05). p.G373D and p.G549D were associated with clinical manifestations of FH. In conclusion, the p.C184Y, p.G373D, p.G549D and p.R814Q variants alter protein stability and intramolecular interactions, while p.V797L has a minimal impact on protein stability, and p.V827I has no significant intramolecular interactions. p.G373D, p.V767L and p.R814Q are associated with impaired LDLR expression and activity.
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Affiliation(s)
- Augusto Akira Mori
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Vanessa Barbosa Malaquias
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Kennedy Bonjour
- Laboratory of Molecular and Morphological Pathology, Department of Pathology, School of Veterinary Medicine and Animal Science, University of Sao Paulo, Sao Paulo 05508-000, Brazil; Laboratory Membrane Biochemistry and Transport, Department of Cell Biology and Infection, Institut Pasteur, Paris 75724 Paris Cedex 15, France
| | - Glaucio Monteiro Ferreira
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | | | - Jéssica Bassani Borges
- Laboratory of Molecular Research in Cardiology, Institute of Cardiology Dante Pazzanese, Sao Paulo 04012-909, Brazil; Department of Research, Hospital Beneficência Portuguesa de Sao Paulo, Sao Paulo 01323-001, Brazil
| | - Victor Fernandes de Oliveira
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; Laboratory of Physiological Genomics of Mental Health, Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of Sao Paulo, São Paulo 05508-000, Brazil
| | | | - Andre Arpad Faludi
- Medical Clinic Division, Institute of Cardiology Dante Pazzanese, Sao Paulo 04012-909, Brazil
| | - Gisele Monteiro Bastos
- Department of Research, Hospital Beneficência Portuguesa de Sao Paulo, Sao Paulo 01323-001, Brazil
| | - Helena Thurow
- Department of Research, Hospital Beneficência Portuguesa de Sao Paulo, Sao Paulo 01323-001, Brazil
| | - Marcelo Ferraz Sampaio
- Department of Cardiology, Hospital Beneficência Portuguesa de São Paulo, Sao Paulo 01323-001, Brazil
| | | | - Adriano Namo Cury
- Department of Endocrinology, Hospital Beneficência Portuguesa de Sao Paulo, Sao Paulo 01323-001, Brazil
| | - Cristina Moreno Fajardo
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Rosario Dominguez Crespo Hirata
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Mario Hiroyuki Hirata
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil.
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Ciesielski TH, Sirugo G, Iyengar SK, Williams SM. Characterizing the pathogenicity of genetic variants: the consequences of context. NPJ Genom Med 2024; 9:3. [PMID: 38195641 PMCID: PMC10776585 DOI: 10.1038/s41525-023-00386-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 12/15/2023] [Indexed: 01/11/2024] Open
Affiliation(s)
- Timothy H Ciesielski
- The Department of Population and Quantitative Health Sciences at Case Western Reserve University School of Medicine, Cleveland, OH, USA.
- Mary Ann Swetland Center for Environmental Health at Case Western Reserve University School of Medicine, Cleveland, OH, USA.
- Ronin Institute, Montclair, NJ, USA.
| | - Giorgio Sirugo
- The Department of Population and Quantitative Health Sciences at Case Western Reserve University School of Medicine, Cleveland, OH, USA
- Institute of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Translational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sudha K Iyengar
- The Department of Population and Quantitative Health Sciences at Case Western Reserve University School of Medicine, Cleveland, OH, USA
- The Department of Genetics and Genome Sciences at Case Western Reserve University School of Medicine, Cleveland, OH, USA
- Cleveland Institute for Computational Biology, Cleveland, OH, USA
| | - Scott M Williams
- The Department of Population and Quantitative Health Sciences at Case Western Reserve University School of Medicine, Cleveland, OH, USA
- The Department of Genetics and Genome Sciences at Case Western Reserve University School of Medicine, Cleveland, OH, USA
- Cleveland Institute for Computational Biology, Cleveland, OH, USA
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12
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Groen K, van der Vis JJ, van Batenburg AA, Kazemier KM, de Bruijn MJ, Stadhouders R, Arp P, Verkerk AJ, Schoemaker AE, de Bie CI, Massink MP, van Beek FT, Grutters JC, Vergouw LJ, van Moorsel CH. A new variant in the ZCCHC8 gene: diverse clinical phenotypes and expression in the lung. ERJ Open Res 2024; 10:00487-2023. [PMID: 38375433 PMCID: PMC10875464 DOI: 10.1183/23120541.00487-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 10/12/2023] [Indexed: 02/21/2024] Open
Abstract
Introduction Pulmonary fibrosis is a severe disease which can be familial. A genetic cause can only be found in ∼40% of families. Searching for shared novel genetic variants may aid the discovery of new genetic causes of disease. Methods Whole-exome sequencing was performed in 152 unrelated patients with a suspected genetic cause of pulmonary fibrosis from the St Antonius interstitial lung disease biobank. Variants of interest were selected by filtering for novel, potentially deleterious variants that were present in at least three unrelated pulmonary fibrosis patients. Results The novel c.586G>A p.(E196K) variant in the ZCCHC8 gene was observed in three unrelated patients: two familial patients and one sporadic patient, who was later genealogically linked to one of the families. The variant was identified in nine additional relatives with pulmonary fibrosis and other telomere-related phenotypes, such as pulmonary arterial venous malformations, emphysema, myelodysplastic syndrome, acute myeloid leukaemia and dyskeratosis congenita. One family showed incomplete segregation, with absence of the variant in one pulmonary fibrosis patient who carried a PARN variant. The majority of ZCCHC8 variant carriers showed short telomeres in blood. ZCCHC8 protein was located in different lung cell types, including alveolar type 2 (AT2) pneumocytes, the culprit cells in pulmonary fibrosis. AT2 cells showed telomere shortening and increased DNA damage, which was comparable to patients with sporadic pulmonary fibrosis and those with pulmonary fibrosis carrying a telomere-related gene variant, respectively. Discussion The ZCCHC8 c.586G>A variant confirms the involvement of ZCCHC8 in pulmonary fibrosis and short-telomere syndromes and underlines the importance of including the ZCCHC8 gene in diagnostic gene panels for these diseases.
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Affiliation(s)
- Karlijn Groen
- Department of Pulmonology, St Antonius ILD Center of Excellence, St Antonius Hospital, Nieuwegein, the Netherlands
| | - Joanne J. van der Vis
- Department of Pulmonology, St Antonius ILD Center of Excellence, St Antonius Hospital, Nieuwegein, the Netherlands
- Department of Clinical Chemistry, St Antonius ILD Center of Excellence, St Antonius Hospital, Nieuwegein, the Netherlands
| | - Aernoud A. van Batenburg
- Department of Pulmonology, St Antonius ILD Center of Excellence, St Antonius Hospital, Nieuwegein, the Netherlands
| | - Karin M. Kazemier
- Department of Pulmonology, St Antonius ILD Center of Excellence, St Antonius Hospital, Nieuwegein, the Netherlands
- Center of Translational Immunology, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - Ralph Stadhouders
- Department of Pulmonary Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Pascal Arp
- Department of Internal Medicine, Laboratory of Population Genomics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Annemieke J.M.H. Verkerk
- Department of Internal Medicine, Laboratory of Population Genomics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Angela E. Schoemaker
- Department of Genetics, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Charlotte I. de Bie
- Department of Genetics, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Maarten P.G. Massink
- Department of Genetics, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Frouke T. van Beek
- Department of Pulmonology, St Antonius ILD Center of Excellence, St Antonius Hospital, Nieuwegein, the Netherlands
| | - Jan C. Grutters
- Department of Pulmonology, St Antonius ILD Center of Excellence, St Antonius Hospital, Nieuwegein, the Netherlands
- Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Leonie J.M. Vergouw
- Department of Internal Medicine, Laboratory of Population Genomics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Coline H.M. van Moorsel
- Department of Pulmonology, St Antonius ILD Center of Excellence, St Antonius Hospital, Nieuwegein, the Netherlands
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Yoshida H. Dissecting the Immune System through Gene Regulation. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1444:219-235. [PMID: 38467983 DOI: 10.1007/978-981-99-9781-7_15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
The immune system plays a dual role in human health, functioning both as a protector against pathogens and, at times, as a contributor to disease. This feature emphasizes the importance to uncover the underlying causes of its malfunctions, necessitating an in-depth analysis in both pathological and physiological conditions to better understand the immune system and immune disorders. Recent advances in scientific technology have enabled extensive investigations into gene regulation, a crucial mechanism governing cellular functionality. Studying gene regulatory mechanisms within the immune system is a promising avenue for enhancing our understanding of immune cells and the immune system as a whole. The gene regulatory mechanisms, revealed through various methodologies, and their implications in the field of immunology are discussed in this chapter.
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Affiliation(s)
- Hideyuki Yoshida
- YCI Laboratory for Immunological Transcriptomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
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14
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Zhao Y, Zhong G, Hagen J, Pan H, Chung WK, Shen Y. A probabilistic graphical model for estimating selection coefficient of missense variants from human population sequence data. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.11.23299809. [PMID: 38168397 PMCID: PMC10760286 DOI: 10.1101/2023.12.11.23299809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Accurately predicting the effect of missense variants is a central problem in interpretation of genomic variation. Commonly used computational methods does not capture the quantitative impact on fitness in populations. We developed MisFit to estimate missense fitness effect using biobank-scale human population genome data. MisFit jointly models the effect at molecular level ( d ) and population level (selection coefficient, s ), assuming that in the same gene, missense variants with similar d have similar s . MisFit is a probabilistic graphical model that integrates deep neural network components and population genetics models efficiently with inductive bias based on biological causality of variant effect. We trained it by maximizing probability of observed allele counts in 236,017 European individuals. We show that s is informative in predicting frequency across ancestries and consistent with the fraction of de novo mutations given s . Finally, MisFit outperforms previous methods in prioritizing missense variants in individuals with neurodevelopmental disorders.
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Affiliation(s)
- Yige Zhao
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032
- The Integrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University, New York, NY 10032
| | - Guojie Zhong
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032
- The Integrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University, New York, NY 10032
| | - Jake Hagen
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY 10032
| | - Hongbing Pan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032
| | - Wendy K. Chung
- Department of Pediatrics, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115
| | - Yufeng Shen
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032
- JP Sulzberger Columbia Genome Center, Columbia University, New York, NY 10032
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15
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Paterson AD. From black and white to fifty shades of grey. Blood 2023; 142:2037-2038. [PMID: 38095926 DOI: 10.1182/blood.2023022171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023] Open
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Stefanucci L, Collins J, Sims MC, Barrio-Hernandez I, Sun L, Burren OS, Perfetto L, Bender I, Callahan TJ, Fleming K, Guerrero JA, Hermjakob H, Martin MJ, Stephenson J, Paneerselvam K, Petrovski S, Porras P, Robinson PN, Wang Q, Watkins X, Frontini M, Laskowski RA, Beltrao P, Di Angelantonio E, Gomez K, Laffan M, Ouwehand WH, Mumford AD, Freson K, Carss K, Downes K, Gleadall N, Megy K, Bruford E, Vuckovic D. The effects of pathogenic and likely pathogenic variants for inherited hemostasis disorders in 140 214 UK Biobank participants. Blood 2023; 142:2055-2068. [PMID: 37647632 PMCID: PMC10733830 DOI: 10.1182/blood.2023020118] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 08/04/2023] [Accepted: 08/04/2023] [Indexed: 09/01/2023] Open
Abstract
Rare genetic diseases affect millions, and identifying causal DNA variants is essential for patient care. Therefore, it is imperative to estimate the effect of each independent variant and improve their pathogenicity classification. Our study of 140 214 unrelated UK Biobank (UKB) participants found that each of them carries a median of 7 variants previously reported as pathogenic or likely pathogenic. We focused on 967 diagnostic-grade gene (DGG) variants for rare bleeding, thrombotic, and platelet disorders (BTPDs) observed in 12 367 UKB participants. By association analysis, for a subset of these variants, we estimated effect sizes for platelet count and volume, and odds ratios for bleeding and thrombosis. Variants causal of some autosomal recessive platelet disorders revealed phenotypic consequences in carriers. Loss-of-function variants in MPL, which cause chronic amegakaryocytic thrombocytopenia if biallelic, were unexpectedly associated with increased platelet counts in carriers. We also demonstrated that common variants identified by genome-wide association studies (GWAS) for platelet count or thrombosis risk may influence the penetrance of rare variants in BTPD DGGs on their associated hemostasis disorders. Network-propagation analysis applied to an interactome of 18 410 nodes and 571 917 edges showed that GWAS variants with large effect sizes are enriched in DGGs and their first-order interactors. Finally, we illustrate the modifying effect of polygenic scores for platelet count and thrombosis risk on disease severity in participants carrying rare variants in TUBB1 or PROC and PROS1, respectively. Our findings demonstrate the power of association analyses using large population datasets in improving pathogenicity classifications of rare variants.
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Affiliation(s)
- Luca Stefanucci
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
- British Heart Foundation, BHF Centre of Research Excellence, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Janine Collins
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Haematology, Barts Health NHS Trust, London, United Kingdom
| | - Matthew C. Sims
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield, United Kingdom
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - Inigo Barrio-Hernandez
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Luanluan Sun
- Department of Public Health and Primary Care, BHF Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Oliver S. Burren
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom
| | - Livia Perfetto
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, United Kingdom
- Department of Biology and Biotechnology “C.Darwin,” Sapienza University of Rome, Rome, Italy
| | - Isobel Bender
- Department of Biochemistry, University of Oxford, Oxford, United Kingdom
| | - Tiffany J. Callahan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY
| | - Kathryn Fleming
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Jose A. Guerrero
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Haematology, Barts Health NHS Trust, London, United Kingdom
| | - Henning Hermjakob
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Maria J. Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - James Stephenson
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - NIHR BioResource
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
- British Heart Foundation, BHF Centre of Research Excellence, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Haematology, Barts Health NHS Trust, London, United Kingdom
- Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield, United Kingdom
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, United Kingdom
- Department of Public Health and Primary Care, BHF Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom
- Department of Biology and Biotechnology “C.Darwin,” Sapienza University of Rome, Rome, Italy
- Department of Biochemistry, University of Oxford, Oxford, United Kingdom
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
- Centre for Genomics Research, Discovery Sciences, AstraZeneca, Cambridge, United Kingdom
- Department of Medicine, Austin Health, The University of Melbourne, Melbourne, Australia
- Genomic Medicine, The Jackson Laboratory, Farmington, CT
- Institute for Systems Genomics, University of Connecticut, Farmington, CT
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences RILD Building, University of Exeter Medical School, Exeter, United Kingdom
- Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland
- Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, Cambridge, United Kingdom
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom
- Health Data Science Centre, Human Technopole, Milan, Italy
- Haemophilia Centre and Thrombosis Unit, Royal Free London NHS Foundation Trust, London, United Kingdom
- Department of Haematology, Imperial College Healthcare NHS Trust, London, United Kingdom
- Department of Immunology and Inflammation, Centre for Haematology, Imperial College London, London, United Kingdom
- Department of Haematology, University College London Hospitals NHS Trust, London, United Kingdom
- Department of Cardiovascular Sciences, Center for Molecular and Vascular Biology, KULeuven, Leuven, Belgium
- Cambridge Genomics Laboratory, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Kalpana Paneerselvam
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Slavé Petrovski
- Centre for Genomics Research, Discovery Sciences, AstraZeneca, Cambridge, United Kingdom
- Department of Medicine, Austin Health, The University of Melbourne, Melbourne, Australia
| | - Pablo Porras
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Peter N. Robinson
- Genomic Medicine, The Jackson Laboratory, Farmington, CT
- Institute for Systems Genomics, University of Connecticut, Farmington, CT
| | - Quanli Wang
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom
| | - Xavier Watkins
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Mattia Frontini
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
- British Heart Foundation, BHF Centre of Research Excellence, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences RILD Building, University of Exeter Medical School, Exeter, United Kingdom
| | - Roman A. Laskowski
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Pedro Beltrao
- Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland
| | - Emanuele Di Angelantonio
- British Heart Foundation, BHF Centre of Research Excellence, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Public Health and Primary Care, BHF Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
- Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, Cambridge, United Kingdom
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom
- Health Data Science Centre, Human Technopole, Milan, Italy
| | - Keith Gomez
- Haemophilia Centre and Thrombosis Unit, Royal Free London NHS Foundation Trust, London, United Kingdom
| | - Mike Laffan
- Department of Haematology, Imperial College Healthcare NHS Trust, London, United Kingdom
- Department of Immunology and Inflammation, Centre for Haematology, Imperial College London, London, United Kingdom
| | - Willem H. Ouwehand
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Haematology, University College London Hospitals NHS Trust, London, United Kingdom
| | - Andrew D. Mumford
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Kathleen Freson
- Department of Cardiovascular Sciences, Center for Molecular and Vascular Biology, KULeuven, Leuven, Belgium
| | - Keren Carss
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom
| | - Kate Downes
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Cambridge Genomics Laboratory, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Nick Gleadall
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Karyn Megy
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Elspeth Bruford
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Dragana Vuckovic
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
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17
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Luo Y, Acevedo D, Vlagea A, Codina A, García-García A, Deyà-Martínez A, Martí-Castellote C, Esteve-Solé A, Alsina L. Changes in Treg and Breg cells in a healthy pediatric population. Front Immunol 2023; 14:1283981. [PMID: 38077340 PMCID: PMC10704817 DOI: 10.3389/fimmu.2023.1283981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 10/31/2023] [Indexed: 12/18/2023] Open
Abstract
The interpretation of clinical diagnostic results in suspected inborn errors of immunity, including Tregopathies, is hampered by the lack of age-stratified reference values for regulatory T cells (Treg) in the pediatric population and a consensus on which Treg immunophenotype to use. Regulatory B cells (Breg) are an important component of the regulatory system that have been poorly studied in the pediatric population. We analyzed (1) the correlation between the three immunophenotypic definitions of Treg (CD4+CD25hiCD127low, CD4+CD25hiCD127lowFoxP3+, CD4+CD25hiFoxP3+), and with CD4+CD25hi and (2) the changes in Treg and Breg frequencies and their maturation status with age. We performed peripheral blood immunophenotyping of Treg and Breg (CD19+CD24hiCD38hi) by flow cytometry in 55 healthy pediatric controls. We observed that Treg numbers varied depending on the definition used, and the frequency ranged between 3.3-9.7% for CD4+CD25hiCD127low, 0.07-1.6% for CD4+CD25hiCD127lowFoxP3+, and 0.24-2.83% for CD4+CD25hiFoxP3+. The correlation between the three definitions of Treg was positive for most age ranges, especially between the two intracellular panels and with CD4+CD25hi vs CD4+CD25hiCD127low. Treg and Breg frequencies tended to decline after 7 and 3 years onwards, respectively. Treg's maturation status increased with age, with a decline of naïve Treg and an increase in memory/effector Treg from age 7 onwards. Memory Breg increased progressively from age 3 onwards. In conclusion, the number of Treg frequencies spans a wide range depending on the immunophenotypic definition used despite a good level of correlation exists between them. The decline in numbers and maturation process with age occurs earlier in Breg than in Treg.
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Affiliation(s)
- Yiyi Luo
- Clinical Immunology and Primary Immunodeficiencies Unit, Allergy and Clinical Immunology Department, Hospital Sant Joan de Déu, Barcelona, Spain
- Clinical Immunology Unit, Hospital Sant Joan de Déu-Hospital Clínic, Barcelona, Spain
- Study Group for Immune Dysfunction Diseases in Children (GEMDIP), Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Daniel Acevedo
- Clinical Immunology and Primary Immunodeficiencies Unit, Allergy and Clinical Immunology Department, Hospital Sant Joan de Déu, Barcelona, Spain
- Clinical Immunology Unit, Hospital Sant Joan de Déu-Hospital Clínic, Barcelona, Spain
- Study Group for Immune Dysfunction Diseases in Children (GEMDIP), Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Alexandru Vlagea
- Clinical Immunology Unit, Hospital Sant Joan de Déu-Hospital Clínic, Barcelona, Spain
- Biomedic Diagnostic Center (CDB), Hospital Clínic of Barcelona, Clinical Immunology Unit Hospital Sant Joan de Déu-Hospital Clínic de Barcelona, Barcelona, Spain
| | - Anna Codina
- Biobanco Pediátrico para la Investigación Hospital Sant Joan de Déu, Barcelona, Spain
| | - Ana García-García
- Clinical Immunology and Primary Immunodeficiencies Unit, Allergy and Clinical Immunology Department, Hospital Sant Joan de Déu, Barcelona, Spain
- Clinical Immunology Unit, Hospital Sant Joan de Déu-Hospital Clínic, Barcelona, Spain
- Study Group for Immune Dysfunction Diseases in Children (GEMDIP), Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Angela Deyà-Martínez
- Clinical Immunology and Primary Immunodeficiencies Unit, Allergy and Clinical Immunology Department, Hospital Sant Joan de Déu, Barcelona, Spain
- Clinical Immunology Unit, Hospital Sant Joan de Déu-Hospital Clínic, Barcelona, Spain
- Study Group for Immune Dysfunction Diseases in Children (GEMDIP), Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Celia Martí-Castellote
- Clinical Immunology and Primary Immunodeficiencies Unit, Allergy and Clinical Immunology Department, Hospital Sant Joan de Déu, Barcelona, Spain
- Clinical Immunology Unit, Hospital Sant Joan de Déu-Hospital Clínic, Barcelona, Spain
- Study Group for Immune Dysfunction Diseases in Children (GEMDIP), Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Ana Esteve-Solé
- Clinical Immunology and Primary Immunodeficiencies Unit, Allergy and Clinical Immunology Department, Hospital Sant Joan de Déu, Barcelona, Spain
- Clinical Immunology Unit, Hospital Sant Joan de Déu-Hospital Clínic, Barcelona, Spain
- Study Group for Immune Dysfunction Diseases in Children (GEMDIP), Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Laia Alsina
- Clinical Immunology and Primary Immunodeficiencies Unit, Allergy and Clinical Immunology Department, Hospital Sant Joan de Déu, Barcelona, Spain
- Clinical Immunology Unit, Hospital Sant Joan de Déu-Hospital Clínic, Barcelona, Spain
- Study Group for Immune Dysfunction Diseases in Children (GEMDIP), Institut de Recerca Sant Joan de Déu, Barcelona, Spain
- Department of Surgery and Medical Specializations, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
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18
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Lee D, Lara L, Moseley D, Vuong TD, Shannon G, Xu D, Nguyen HT. Novel genetic resources associated with sucrose and stachyose content through genome-wide association study in soybean ( Glycine max (L.) Merr.). FRONTIERS IN PLANT SCIENCE 2023; 14:1294659. [PMID: 38023839 PMCID: PMC10646508 DOI: 10.3389/fpls.2023.1294659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 10/19/2023] [Indexed: 12/01/2023]
Abstract
The nutritional value of soybean [Glycine max (L.) Merr.] for animals is influenced by soluble carbohydrates, such as sucrose and stachyose. Although sucrose is nutritionally desirable, stachyose is an antinutrient causing diarrhea and flatulence in non-ruminant animals. We conducted a genome-wide association study of 220 soybean accessions using 21,317 single nucleotide polymorphisms (SNPs) from the SoySNP50K iSelect Beadchip data to identify significant SNPs associated with sucrose and stachyose content. Seven significant SNPs were identified for sucrose content across chromosomes (Chrs.) 2, 8, 12, 17, and 20, while thirteen significant SNPs were identified for stachyose content across Chrs. 2, 5, 8, 9, 10, 13, 14, and 15. Among those significant SNPs, three sucrose-related SNPs on Chrs. 8 and 17 were novel, while twelve stachyose-related SNPs on Chrs. 2, 5, 8, 9, 10, 13, 14, and 15 were novel. Based on Phytozome, STRING, and GO annotation, 17 and 24 candidate genes for sucrose and stachyose content, respectively, were highly associated with the carbohydrate metabolic pathway. Among these, the publicly available RNA-seq Atlas database highlighted four candidate genes associated with sucrose (Glyma.08g361200 and Glyma.17g258100) and stachyose (Glyma.05g025300 and Glyma.13g077900) content, which had higher gene expression levels in developing seed and multiple parts of the soybean plant. The results of this study will extend knowledge of the molecular mechanism and genetic basis underlying sucrose and stachyose content in soybean seed. Furthermore, the novel candidate genes and SNPs can be valuable genetic resources that soybean breeders may utilize to modify carbohydrate profiles for animal and human usage.
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Affiliation(s)
- Dongho Lee
- Fisher Delta Research, Extension, and Education Center, Division of Plant Science and Technology, University of Missouri, Portageville, MO, United States
- Division of Plant Science and Technology, University of Missouri, Columbia, MO, United States
| | - Laura Lara
- Agrícola Los Alpes, Chimaltenango, Guatemala
| | - David Moseley
- Dean Lee Research and Extension Center, LSU AgCenter, Alexandria, LA, United States
| | - Tri D. Vuong
- Division of Plant Science and Technology, University of Missouri, Columbia, MO, United States
| | - Grover Shannon
- Fisher Delta Research, Extension, and Education Center, Division of Plant Science and Technology, University of Missouri, Portageville, MO, United States
| | - Dong Xu
- Department of Electrical Engineering and Computer Sciences, Christopher S. Bond Life Science Center, University of Missouri, Columbia, MO, United States
| | - Henry T. Nguyen
- Division of Plant Science and Technology, University of Missouri, Columbia, MO, United States
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19
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Nyangiri OA, Mulindwa J, Namulondo J, Kitibwa A, Nassuuna J, Elliott A, Kimuda MP, Boobo A, Nerima B, Adriko M, Dunton NJ, Madhan GK, Kristiansen M, Casacuberta-Partal M, Noyes H, Matovu E. Variants of IL6, IL10, FCN2, RNASE3, IL12B and IL17B loci are associated with Schistosoma mansoni worm burden in the Albert Nile region of Uganda. PLoS Negl Trop Dis 2023; 17:e0011796. [PMID: 38033168 PMCID: PMC10715658 DOI: 10.1371/journal.pntd.0011796] [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: 04/01/2023] [Revised: 12/12/2023] [Accepted: 11/14/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Individuals genetically susceptible to high schistosomiasis worm burden may contribute disproportionately to transmission and could be prioritized for control. Identifying genes involved may guide development of therapy. METHODOLOGY/PRINCIPAL FINDINGS A cohort of 606 children aged 10-15 years were recruited in the Albert Nile region of Uganda and assessed for Schistosoma mansoni worm burden using the Up-Converting Particle Lateral Flow (UCP-LF) test detecting circulating anodic antigen (CAA), point-of-care Circulating Cathodic Antigen (POC-CCA) and Kato-Katz tests. Whole genome genotyping was conducted on 326 children comprising the top and bottom 25% of worm burden. Linear models were fitted to identify variants associated with worm burden in preselected candidate genes. Expression quantitative trait locus (eQTL) analysis was conducted for candidate genes with UCP-LF worm burden included as a covariate. Single Nucleotide Polymorphism loci associated with UCP-LF CAA included IL6 rs2066992 (OR = 0.43, p = 0.0006) and rs7793163 (OR = 2.0, p = 0.0007); IL21 SNP kgp513476 (OR 1.79, p = 0.0025) and IL17B SNP kgp708159 (OR = 0.35, p = 0.0028). A haplotype in the IL10 locus was associated with lower worm burden (OR = 0.53, p = 0.015) and overlapped SNPs rs1800896, rs1800871 and rs1800872. Significant haplotypes (p<0.05, overlapping significant SNP) associated with worm burden were observed in IL6 and the Th17 pathway IL12B and IL17B genes. There were significant eQTL in the IL6, IL5, IL21, IL25 and IFNG regions. CONCLUSIONS Variants associated with S. mansoni worm burden were in IL6, FCN2, RNASE3, IL10, IL12B and IL17B gene loci. However only eQTL associations remained significant after Bonferroni correction. In summary, immune balance, pathogen recognition and Th17 pathways may play a role in modulating Schistosoma worm burden. Individuals carrying risk variants may be targeted first in allocation of control efforts to reduce the burden of schistosomiasis in the community.
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Affiliation(s)
- Oscar Asanya Nyangiri
- Department of Biotechnical and Diagnostic Sciences, College of Veterinary Medicine Animal Resources and Biosecurity, Makerere University, Kampala, Uganda
| | - Julius Mulindwa
- Department of Biochemistry and Sports Sciences, College of Natural Sciences, Makerere University, Kampala, Uganda
| | - Joyce Namulondo
- Department of Biotechnical and Diagnostic Sciences, College of Veterinary Medicine Animal Resources and Biosecurity, Makerere University, Kampala, Uganda
| | - Anna Kitibwa
- Department of Biotechnical and Diagnostic Sciences, College of Veterinary Medicine Animal Resources and Biosecurity, Makerere University, Kampala, Uganda
| | - Jacent Nassuuna
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
| | - Alison Elliott
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
| | - Magambo Phillip Kimuda
- Department of Biotechnical and Diagnostic Sciences, College of Veterinary Medicine Animal Resources and Biosecurity, Makerere University, Kampala, Uganda
| | - Alex Boobo
- Department of Biotechnical and Diagnostic Sciences, College of Veterinary Medicine Animal Resources and Biosecurity, Makerere University, Kampala, Uganda
| | - Barbara Nerima
- Department of Biotechnical and Diagnostic Sciences, College of Veterinary Medicine Animal Resources and Biosecurity, Makerere University, Kampala, Uganda
| | - Moses Adriko
- Vector Borne & NTD Control Division, Ministry of Health, Uganda
| | - Nathan J. Dunton
- UCL Genomics core facility, University College London, London, United Kingdom
| | | | - Mark Kristiansen
- UCL Genomics core facility, University College London, London, United Kingdom
| | | | - Harry Noyes
- Centre for Genomic Research, University of Liverpool, Liverpool, United Kingdom
| | - Enock Matovu
- Department of Biotechnical and Diagnostic Sciences, College of Veterinary Medicine Animal Resources and Biosecurity, Makerere University, Kampala, Uganda
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20
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Abstract
Inflammatory bowel disease (IBD) represents a spectrum of disease, which is characterized by chronic gastrointestinal inflammation. Monogenic mutations driving IBD pathogenesis are more highly represented in early-onset compared to adult-onset disease. The pathogenic genes which dysregulate host immune responses in monogenic IBD affect both the innate (ie, intestinal barrier, phagocytes) and adaptive immune systems (ie, T cells, B cells). Advanced genomic and targeted functional testing can improve clinical decision making and present increased opportunities for precision medicine approaches in this important patient population.
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Affiliation(s)
- Atiye Olcay Bilgic Dagci
- Division of Pediatric Rheumatology, University of Michigan, C.S Mott Children's Hospital, 1500 East Medical Center Drive Medical Professional Building Floor 2, Ann Arbor, MI 48109-5718, USA.
| | - Kelly Colleen Cushing
- Division of Gastroenterology, U-M Inflammatory Bowel Disease Program, University of Michigan, 3912 Taubman Center, 1500 East Medical Center Drive, SPC 5362, Ann Arbor, MI 48109-5362, USA
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21
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Kho I, Demina EP, Pan X, Londono I, Cairo CW, Sturiale L, Palmigiano A, Messina A, Garozzo D, Ung RV, Mac-Way F, Bonneil É, Thibault P, Lemaire M, Morales CR, Pshezhetsky AV. Severe kidney dysfunction in sialidosis mice reveals an essential role for neuraminidase 1 in reabsorption. JCI Insight 2023; 8:e166470. [PMID: 37698928 PMCID: PMC10619504 DOI: 10.1172/jci.insight.166470] [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: 10/24/2022] [Accepted: 09/06/2023] [Indexed: 09/14/2023] Open
Abstract
Sialidosis is an ultra-rare multisystemic lysosomal disease caused by mutations in the neuraminidase 1 (NEU1) gene. The severe type II form of the disease manifests with a prenatal/infantile or juvenile onset, bone abnormalities, severe neuropathology, and visceromegaly. A subset of these patients present with nephrosialidosis, characterized by abrupt onset of fulminant glomerular nephropathy. We studied the pathophysiological mechanism of the disease in 2 NEU1-deficient mouse models, a constitutive Neu1-knockout, Neu1ΔEx3, and a conditional phagocyte-specific knockout, Neu1Cx3cr1ΔEx3. Mice of both strains exhibited terminal urinary retention and severe kidney damage with elevated urinary albumin levels, loss of nephrons, renal fibrosis, presence of storage vacuoles, and dysmorphic mitochondria in the intraglomerular and tubular cells. Glycoprotein sialylation in glomeruli, proximal distal tubules, and distal tubules was drastically increased, including that of an endocytic reabsorption receptor megalin. The pool of megalin bearing O-linked glycans with terminal galactose residues, essential for protein targeting and activity, was reduced to below detection levels. Megalin levels were severely reduced, and the protein was directed to lysosomes instead of the apical membrane. Together, our results demonstrated that desialylation by NEU1 plays a crucial role in processing and cellular trafficking of megalin and that NEU1 deficiency in sialidosis impairs megalin-mediated protein reabsorption.
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Affiliation(s)
- Ikhui Kho
- CHU Sainte-Justine Research Center, University of Montreal, Montreal, Québec, Canada
- Department of Anatomy and Cell Biology, McGill University, Montreal, Québec, Canada
| | - Ekaterina P. Demina
- CHU Sainte-Justine Research Center, University of Montreal, Montreal, Québec, Canada
| | - Xuefang Pan
- CHU Sainte-Justine Research Center, University of Montreal, Montreal, Québec, Canada
| | - Irene Londono
- CHU Sainte-Justine Research Center, University of Montreal, Montreal, Québec, Canada
| | | | - Luisa Sturiale
- CNR, Institute for Polymers, Composites and Biomaterials, Catania, Italy
| | - Angelo Palmigiano
- CNR, Institute for Polymers, Composites and Biomaterials, Catania, Italy
| | - Angela Messina
- CNR, Institute for Polymers, Composites and Biomaterials, Catania, Italy
| | - Domenico Garozzo
- CNR, Institute for Polymers, Composites and Biomaterials, Catania, Italy
| | - Roth-Visal Ung
- CHU de Québec Research Center, L’Hôtel-Dieu de Québec Hospital, Faculty and Department of Medicine, University Laval, Québec City, Québec, Canada
| | - Fabrice Mac-Way
- CHU de Québec Research Center, L’Hôtel-Dieu de Québec Hospital, Faculty and Department of Medicine, University Laval, Québec City, Québec, Canada
| | - Éric Bonneil
- Institute for Research in Immunology and Cancer, University of Montreal, Montreal, Québec, Canada
| | - Pierre Thibault
- Institute for Research in Immunology and Cancer, University of Montreal, Montreal, Québec, Canada
| | - Mathieu Lemaire
- Division of Nephrology, The Hospital for Sick Kids, Faculty of Medicine, University of Toronto, Ontario, Canada
- Cell Biology Program, SickKids Research Institute, Toronto, Ontario, Canada
| | - Carlos R. Morales
- Department of Anatomy and Cell Biology, McGill University, Montreal, Québec, Canada
| | - Alexey V. Pshezhetsky
- CHU Sainte-Justine Research Center, University of Montreal, Montreal, Québec, Canada
- Department of Anatomy and Cell Biology, McGill University, Montreal, Québec, Canada
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22
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Wang X, Sun Y, Guan XW, Wang YY, Hong DY, Zhang ZL, Li YH, Yang PY, Jiang T, Xu ZF. Newborn genetic screening is highly effective for high-risk infants: A single-centre study in China. J Glob Health 2023; 13:04128. [PMID: 37824171 PMCID: PMC10569371 DOI: 10.7189/jogh.13.04128] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023] Open
Abstract
Background Newborn genetic screening (NBGS) is promising for early detection of genetic diseases in newborns. However, little is known about its clinical effectiveness in special groups like high-risk infants. To address this gap, we aimed to investigate the impact of NBGS on high-risk infants. Methods We screened 10 334 healthy newborns from the general maternity unit and 886 high-risk infants from the neonatal ward using both traditional newborn screening (tNBS) and NBGS, and collected clinical data from electronic medical records. Results We found that high-risk infants had a higher proportion of eutocia (P < 0.01) and prematurity (P < 0.01). For high-risk infants vs healthy newborns screened by tNBS, the primary screening positive rate was 3.84% vs 1.31%, the false positive rate (FPR) was 3.62% vs 1.18% (P < 0.001), and the positive predictive value (PPV) was 5.88% vs 8.27%. For NBGS vs tNBS in high-risk infants, the primary screening positive rate was 0.54% vs 3.68%, the FPR was 0.22% vs 3.47%, and the PPV was 60.00% vs 5.88%. Conclusions We found that combined newborn screening can effectively reduce the FPR caused by the high-risk symptoms and improve the PPV in high-risk infants, sufficient for more accurately showing the true status of the disease.
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Affiliation(s)
| | | | - Xian-Wei Guan
- Genetic Medicine Center, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province of China, China
| | - Yan-Yun Wang
- Genetic Medicine Center, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province of China, China
| | - Dong-Yang Hong
- Genetic Medicine Center, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province of China, China
| | - Zhi-Lei Zhang
- Genetic Medicine Center, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province of China, China
| | - Ya-Hong Li
- Genetic Medicine Center, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province of China, China
| | - Pei-Ying Yang
- Genetic Medicine Center, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province of China, China
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Kanwal A, Sheikh SA, Aslam F, Yaseen S, Beetham Z, Pankratz N, Clabots CR, Naz S, Pardo JV. Genome Sequencing of Consanguineous Family Implicates Ubiquitin-Specific Protease 53 ( USP53) Variant in Psychosis/Schizophrenia: Wild-Type Expression in Murine Hippocampal CA 1-3 and Granular Dentate with AMPA Synapse Interactions. Genes (Basel) 2023; 14:1921. [PMID: 37895270 PMCID: PMC10606770 DOI: 10.3390/genes14101921] [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: 08/24/2023] [Revised: 09/22/2023] [Accepted: 10/02/2023] [Indexed: 10/29/2023] Open
Abstract
Psychosis is a severe mental disorder characterized by abnormal thoughts and perceptions (e.g., hallucinations) occurring quintessentially in schizophrenia and in several other neuropsychiatric disorders. Schizophrenia is widely considered as a neurodevelopmental disorder that onsets during teenage/early adulthood. A multiplex consanguineous Pakistani family was afflicted with severe psychosis and apparent autosomal recessive transmission. The first-cousin parents and five children were healthy, whereas two teenage daughters were severely affected. Structured interviews confirmed the diagnosis of DSM-V schizophrenia. Probands and father underwent next-generation sequencing. All available relatives were subjected to confirmatory Sanger sequencing. Homozygosity mapping and directed a priori filtering identified only one rare variant [MAF < 5(10)-5] at a residue conserved across vertebrates. The variant was a non-catalytic deubiquitinase, USP53 (p.Cys228Arg), predicted in silico as damaging. Genome sequencing did not identify any other potentially pathogenic single nucleotide variant or structural variant. Since the literature on USP53 lacked relevance to mental illness or CNS expression, studies were conducted which revealed USP53 localization in regions of the hippocampus (CA 1-3) and granular dentate. The staining pattern was like that seen with GRIA2/GluA2 and GRIP2 antibodies. All three proteins coimmunoprecipitated. These findings support the glutamate hypothesis of schizophrenia as part of the AMPA-R interactome. If confirmed, USP53 appears to be one of the few Mendelian variants potentially causal to a common-appearing mental disorder that is a rare genetic form of schizophrenia.
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Affiliation(s)
- Ambreen Kanwal
- School of Biological Sciences, University of the Punjab, Lahore 54590, Pakistan; (A.K.); (F.A.); (S.Y.)
- Cognitive Neuroimaging Unit, Minneapolis Veterans Health Care System, Minneapolis, MN 55417, USA
- Department of Psychiatry, University of Minnesota, Minneapolis, MN 55454, USA
| | - Sohail A. Sheikh
- Department of Psychiatry, Hawkes Bay Hospital, Hastings 4120, New Zealand;
| | - Faiza Aslam
- School of Biological Sciences, University of the Punjab, Lahore 54590, Pakistan; (A.K.); (F.A.); (S.Y.)
| | - Samina Yaseen
- School of Biological Sciences, University of the Punjab, Lahore 54590, Pakistan; (A.K.); (F.A.); (S.Y.)
| | - Zachary Beetham
- Division of Computational Pathology, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA; (Z.B.)
| | - Nathan Pankratz
- Division of Computational Pathology, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA; (Z.B.)
| | - Connie R. Clabots
- Medicine Patient Service Line, Minneapolis Veterans Health Care System, Minneapolis, MN 55417, USA;
| | - Sadaf Naz
- School of Biological Sciences, University of the Punjab, Lahore 54590, Pakistan; (A.K.); (F.A.); (S.Y.)
| | - José V. Pardo
- Cognitive Neuroimaging Unit, Minneapolis Veterans Health Care System, Minneapolis, MN 55417, USA
- Department of Psychiatry, University of Minnesota, Minneapolis, MN 55454, USA
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Fazel-Najafabadi M, Looger LL, Reddy-Rallabandi H, Nath SK. A multilayered post-GWAS analysis pipeline defines functional variants and target genes for systemic lupus erythematosus (SLE). MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.07.23288295. [PMID: 37066327 PMCID: PMC10104240 DOI: 10.1101/2023.04.07.23288295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Objectives Systemic lupus erythematosus (SLE), an autoimmune disease with incompletely understood etiology, has a strong genetic component. Although genome-wide association studies (GWAS) have revealed multiple SLE susceptibility loci and associated single nucleotide polymorphisms (SNPs), the precise causal variants, target genes, cell types, tissues, and mechanisms of action remain largely unknown. Methods Here, we report a comprehensive post-GWAS analysis using extensive bioinformatics, molecular modeling, and integrative functional genomic and epigenomic analyses to optimize fine-mapping. We compile and cross-reference immune cell-specific expression quantitative trait loci ( cis - and trans -eQTLs) with promoter-capture Hi-C, allele-specific chromatin accessibility, and massively parallel reporter assay data to define predisposing variants and target genes. We experimentally validate a predicted locus using CRISPR/Cas9 genome editing, qPCR, and Western blot. Results Anchoring on 452 index SNPs, we selected 9,931 high-linkage disequilibrium (r 2 >0.8) SNPs and defined 182 independent non-HLA SLE loci. 3,746 SNPs from 143 loci were identified as regulating 564 unique genes. Target genes are enriched in lupus-related tissues and associated with other autoimmune diseases. Of these, 329 SNPs (106 loci) showed significant allele-specific chromatin accessibility and/or enhancer activity, indicating regulatory potential. Using CRISPR/Cas9, we validated rs57668933 as a functional variant regulating multiple targets, including SLE risk gene ELF1 , in B-cells. Conclusion We demonstrate and validate post-GWAS strategies for utilizing multi-dimensional data to prioritize likely causal variants with cognate gene targets underlying SLE pathogenesis. Our results provide a catalog of significantly SLE-associated SNPs and loci, target genes, and likely biochemical mechanisms, to guide experimental characterization.
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25
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Paterson AD, Seok SC, Vieland VJ. The effect of ascertainment on penetrance estimates for rare variants: Implications for establishing pathogenicity and for genetic counselling. PLoS One 2023; 18:e0290336. [PMID: 37733810 PMCID: PMC10513297 DOI: 10.1371/journal.pone.0290336] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 08/04/2023] [Indexed: 09/23/2023] Open
Abstract
Next-generation sequencing has led to an explosion of genetic findings for many rare diseases. However, most of the variants identified are very rare and were also identified in small pedigrees, which creates challenges in terms of penetrance estimation and translation into genetic counselling in the setting of cascade testing. We use simulations to show that for a rare (dominant) disorder where a variant is identified in a small number of small pedigrees, the penetrance estimate can both have large uncertainty and be drastically inflated, due to underlying ascertainment bias. We have developed PenEst, an app that allows users to investigate the phenomenon across ranges of parameter settings. We also illustrate robust ascertainment corrections via the LOD (logarithm of the odds) score, and recommend a LOD-based approach to assessing pathogenicity of rare variants in the presence of reduced penetrance.
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Affiliation(s)
- Andrew D. Paterson
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Divisions of Epidemiology and Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Sang-Cheol Seok
- Mathematical Medicine LLC, Chicago, IL, United States of America
| | - Veronica J. Vieland
- Mathematical Medicine LLC, Chicago, IL, United States of America
- Departments of Pediatrics and Biostatistics (Emerita), The Ohio State University, Columbus, OH, United States of America
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26
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Sah S, Keable R, Pfundstein G, Clemens KJ, Begg D, Schachner M, Leshchyns'ka I, Sytnyk V. Deficiency in the neural cell adhesion molecule 2 (NCAM2) reduces axonal levels of beta-site amyloid precursor protein cleaving enzyme 1 (BACE1), affects axonal organization in the hippocampus, and leads to behavioral deficits. Cereb Cortex 2023; 33:10047-10065. [PMID: 37522285 DOI: 10.1093/cercor/bhad264] [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: 01/19/2023] [Revised: 06/25/2023] [Accepted: 01/26/2023] [Indexed: 08/01/2023] Open
Abstract
The neural cell adhesion molecule 2 (NCAM2) regulates axonal organization in the central nervous system via mechanisms that have remained poorly understood. We now show that NCAM2 increases axonal levels of beta-site amyloid precursor protein cleaving enzyme 1 (BACE1), a protease that regulates axonal guidance. In brains of NCAM2-deficient mice, BACE1 levels are reduced in hippocampal mossy fiber projections, and the infrapyramidal bundle of these projections is shortened. This abnormal axonal organization correlates with impaired short-term spatial memory and cognitive flexibility in NCAM2-deficient male and female mice. Self-grooming, rearing, digging and olfactory acuity are increased in NCAM2-deficient male mice, when compared with littermate wild-type mice of the same sex. NCAM2-deficient female mice also show increased self-grooming, but are reduced in rearing, and do not differ from female wild-type mice in olfactory acuity and digging behavior. Our results indicate that errors in axonal guidance and organization caused by impaired BACE1 function can underlie the manifestation of neurodevelopmental disorders, including autism as found in humans with deletions of the NCAM2 gene.
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Affiliation(s)
- Saroj Sah
- School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW 2052, Australia
| | - Ryan Keable
- School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW 2052, Australia
| | - Grant Pfundstein
- School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW 2052, Australia
| | - Kelly J Clemens
- School of Psychology, The University of New South Wales, Sydney, NSW 2052, Australia
| | - Denovan Begg
- School of Psychology, The University of New South Wales, Sydney, NSW 2052, Australia
| | - Melitta Schachner
- Keck Center for Collaborative Neuroscience and Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08554, United States
| | - Iryna Leshchyns'ka
- School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW 2052, Australia
| | - Vladimir Sytnyk
- School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW 2052, Australia
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27
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Mohamed W. Leveraging genetic diversity to understand monogenic Parkinson's disease's landscape in AfrAbia. AMERICAN JOURNAL OF NEURODEGENERATIVE DISEASE 2023; 12:108-122. [PMID: 37736165 PMCID: PMC10509492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 08/15/2023] [Indexed: 09/23/2023]
Abstract
Parkinson's disease may be caused by a single highly deleterious and penetrant pathogenic variant in 5-10% of cases (monogenic). Research into these mutational disorders yields important pathophysiological insights. This article examines the phenotype, genotype, pathophysiology, and geographic and ethnic distribution of genetic forms of disease. Well established Parkinson's disease (PD) causal variants can follow an autosomal dominant (SNCA, LRRK2, and VPS35) and autosomal recessive pattern of inheritance (PRKN, PINK1, and DJ). Parkinson's disease is a worldwide condition, yet the AfrAbia population is understudied in this regard. No prevalence or incidence investigations have been conducted yet. Few studies on genetic risk factors for PD in AfrAbia communities have been reported which supported the notion that the prevalence and incidence rates of PD in AfrAbia are generally lower than those reported for European and North American populations. There have been only a handful of documented genetic studies of PD in AfrAbia and very limited cohort and case-control research studies on PD have been documented. In this article, we provide a summary of prior conducted research on monogenic PD in Africa and highlight data gaps and promising new research directions. We emphasize that monogenic Parkinson's disease is influenced by distinctions in ethnicity and geography, thereby reinforcing the need for global initiatives to aggregate large numbers of patients and identify novel candidate genes. The current article increases our knowledge of the genetics of Parkinson's disease (PD) and helps to further our knowledge on the genetic factors that contribute to PD, such as the lower penetrance and varying clinical expressivity of known genetic variants, particularly in AfrAbian PD patients.
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Affiliation(s)
- Wael Mohamed
- Basic Medical Science Department, Kulliyah of Medicine, International Islamic University Malaysia Kuantan, Pahang, Malaysia
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28
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Monti R, Ohler U. Toward Identification of Functional Sequences and Variants in Noncoding DNA. Annu Rev Biomed Data Sci 2023; 6:191-210. [PMID: 37262323 DOI: 10.1146/annurev-biodatasci-122120-110102] [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: 06/03/2023]
Abstract
Understanding the noncoding part of the genome, which encodes gene regulation, is necessary to identify genetic mechanisms of disease and translate findings from genome-wide association studies into actionable results for treatments and personalized care. Here we provide an overview of the computational analysis of noncoding regions, starting from gene-regulatory mechanisms and their representation in data. Deep learning methods, when applied to these data, highlight important regulatory sequence elements and predict the functional effects of genetic variants. These and other algorithms are used to predict damaging sequence variants. Finally, we introduce rare-variant association tests that incorporate functional annotations and predictions in order to increase interpretability and statistical power.
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Affiliation(s)
- Remo Monti
- Max Delbrück Center for Molecular Medicine (MDC), Helmholtz Association of German Research Centers, Berlin Institute for Medical Systems Biology (BIMSB), Berlin, Germany;
- Digital Health-Machine Learning, Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany
| | - Uwe Ohler
- Max Delbrück Center for Molecular Medicine (MDC), Helmholtz Association of German Research Centers, Berlin Institute for Medical Systems Biology (BIMSB), Berlin, Germany;
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29
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Schneider S, Schierbaum L, Burger WAC, Seltzsam S, Wang C, Zheng B, Wilfried Wu CH, Nakayama M, Connaughton DM, Mann N, Shril S, Shalaby MA, Kari JA, ElDesoky S, Tasic V, Eid LA, Thal DM, Hildebrandt F. Recessive CHRM5 variant as a potential cause of neurogenic bladder. Am J Med Genet A 2023; 191:2083-2091. [PMID: 37213061 PMCID: PMC10527291 DOI: 10.1002/ajmg.a.63241] [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: 02/01/2023] [Revised: 04/17/2023] [Accepted: 04/29/2023] [Indexed: 05/23/2023]
Abstract
Neurogenic bladder is caused by disruption of neuronal pathways regulating bladder relaxation and contraction. In severe cases, neurogenic bladder can lead to vesicoureteral reflux, hydroureter, and chronic kidney disease. These complications overlap with manifestations of congenital anomalies of the kidney and urinary tract (CAKUT). To identify novel monogenic causes of neurogenic bladder, we applied exome sequencing (ES) to our cohort of families with CAKUT. By ES, we have identified a homozygous missense variant (p.Gln184Arg) in CHRM5 (cholinergic receptor, muscarinic, 5) in a patient with neurogenic bladder and secondary complications of CAKUT. CHRM5 codes for a seven transmembrane-spanning G-protein-coupled muscarinic acetylcholine receptor. CHRM5 is shown to be expressed in murine and human bladder walls and is reported to cause bladder overactivity in Chrm5 knockout mice. We investigated CHRM5 as a potential novel candidate gene for neurogenic bladder with secondary complications of CAKUT. CHRM5 is similar to the cholinergic bladder neuron receptor CHRNA3, which Mann et al. published as the first monogenic cause of neurogenic bladder. However, functional in vitro studies did not reveal evidence to strengthen the status as a candidate gene. Discovering additional families with CHRM5 variants could help to further assess the genes' candidate status.
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Affiliation(s)
- Sophia Schneider
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Luca Schierbaum
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Wessel A. C. Burger
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia
| | - Steve Seltzsam
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Chunyan Wang
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Bixia Zheng
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Chen-Han Wilfried Wu
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
- Division of Genetics and Genomics, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Urology and Genetics and Genome Sciences, Case Western Reserve University Hospital, Cleveland, OH 44106, USA
| | - Makiko Nakayama
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Dervla M. Connaughton
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Nina Mann
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Shirlee Shril
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Mohamed A. Shalaby
- Department of Pediatrics, Pediatric Nephrology Unit, Pediatric Nephrology Center of Excellence, Faculty of Medicine, King Abdulaziz University Hospital, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Jameela A. Kari
- Department of Pediatrics, Pediatric Nephrology Unit, Pediatric Nephrology Center of Excellence, Faculty of Medicine, King Abdulaziz University Hospital, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Sherif ElDesoky
- Department of Pediatrics, Pediatric Nephrology Unit, Pediatric Nephrology Center of Excellence, Faculty of Medicine, King Abdulaziz University Hospital, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Velibor Tasic
- Pediatric Nephrology, University Children’s Hospital, University of Skopje Medical Faculty, Skopje, North Macedonia
| | - Loai A. Eid
- Pediatric Nephrology Department, Dubai Hospital, Dubai, United Arab Emirates
| | - David M. Thal
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia
| | - Friedhelm Hildebrandt
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
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Guzmán-Vega FJ, González-Álvarez AC, Peña-Guerra KA, Cardona-Londoño KJ, Arold ST. Leveraging AI Advances and Online Tools for Structure-Based Variant Analysis. Curr Protoc 2023; 3:e857. [PMID: 37540795 DOI: 10.1002/cpz1.857] [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: 08/06/2023]
Abstract
Understanding how a gene variant affects protein function is important in life science, as it helps explain traits or dysfunctions in organisms. In a clinical setting, this understanding makes it possible to improve and personalize patient care. Bioinformatic tools often only assign a pathogenicity score, rather than providing information about the molecular basis for phenotypes. Experimental testing can furnish this information, but this is slow and costly and requires expertise and equipment not available in a clinical setting. Conversely, mapping a gene variant onto the three-dimensional (3D) protein structure provides a fast molecular assessment free of charge. Before 2021, this type of analysis was severely limited by the availability of experimentally determined 3D protein structures. Advances in artificial intelligence algorithms now allow confident prediction of protein structural features from sequence alone. The aim of the protocols presented here is to enable non-experts to use databases and online tools to investigate the molecular effect of a genetic variant. The Basic Protocol relies only on the online resources AlphaFold, Protein Structure Database, and UniProt. Alternate Protocols document the usage of the Protein Data Bank, SWISS-MODEL, ColabFold, and PyMOL for structure-based variant analysis. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol: 3D Mapping based on UniProt and AlphaFold Alternate Protocol 1: Using experimental models from the PDB Alternate Protocol 2: Using information from homology modeling with SWISS-MODEL Alternate Protocol 3: Predicting 3D structures with ColabFold Alternate Protocol 4: Structure visualization and analysis with PyMOL.
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Affiliation(s)
- Francisco J Guzmán-Vega
- Bioscience Program, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia
- Computational Bioscience Research Center, KAUST, Thuwal, Saudi Arabia
| | - Ana C González-Álvarez
- Bioengineering Program, Biological and Environmental Science and Engineering Division, KAUST, Thuwal, Saudi Arabia
- Computational Bioscience Research Center, KAUST, Thuwal, Saudi Arabia
| | - Karla A Peña-Guerra
- Bioengineering Program, Biological and Environmental Science and Engineering Division, KAUST, Thuwal, Saudi Arabia
- Computational Bioscience Research Center, KAUST, Thuwal, Saudi Arabia
| | - Kelly J Cardona-Londoño
- Bioengineering Program, Biological and Environmental Science and Engineering Division, KAUST, Thuwal, Saudi Arabia
- Computational Bioscience Research Center, KAUST, Thuwal, Saudi Arabia
| | - Stefan T Arold
- Bioscience Program, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia
- Bioengineering Program, Biological and Environmental Science and Engineering Division, KAUST, Thuwal, Saudi Arabia
- Computational Bioscience Research Center, KAUST, Thuwal, Saudi Arabia
- Centre de Biologie Structurale (CBS), INSERM, CNRS, Université de Montpellier, Montpellier, France
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31
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Wilson GN. A Clinical Qualification Protocol Highlights Overlapping Genomic Influences and Neuro-Autonomic Mechanisms in Ehlers-Danlos and Long COVID-19 Syndromes. Curr Issues Mol Biol 2023; 45:6003-6023. [PMID: 37504295 PMCID: PMC10378515 DOI: 10.3390/cimb45070379] [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: 06/05/2023] [Revised: 07/12/2023] [Accepted: 07/14/2023] [Indexed: 07/29/2023] Open
Abstract
A substantial fraction of the 15% with double-jointedness or hypermobility have the traditionally ascertained joint-skeletal, cutaneous, and cardiovascular symptoms of connective tissue dysplasia and its particular manifestation as Ehlers-Danlos syndrome (EDS). The holistic ascertainment of 120 findings in 1261 EDS patients added neuro-autonomic symptoms like headaches, muscle weakness, brain fog, chronic fatigue, dyspnea, and bowel irregularity to those of arthralgia and skin laxity, 15 of these symptoms shared with those of post-infectious SARS-CoV-2 (long COVID-19). Underlying articulo-autonomic mechanisms guided a clinical qualification protocol that qualified DNA variants in 317 genes as having diagnostic utility for EDS, six of them identical (F2-LIFR-NLRP3-STAT1-T1CAM1-TNFRSF13B) and eighteen similar to those modifying COVID-19 severity/EDS, including ADAMTS13/ADAMTS2-C3/C1R-IKBKG/IKBKAP-PIK3C3/PIK3R1-POLD4/POLG-TMPRSS2/TMPRSS6-WNT3/WNT10A. Also, contributing to EDS and COVID-19 severity were forty and three genes, respectively, impacting mitochondrial functions as well as parts of an overlapping gene network, or entome, that are hypothesized to mediate the cognitive-behavioral, neuro-autonomic, and immune-inflammatory alterations of connective tissue in these conditions. The further characterization of long COVID-19 natural history and genetic predisposition will be necessary before these parallels to EDS can be carefully delineated and translated into therapies.
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Affiliation(s)
- Golder N Wilson
- Department of Pediatrics, Texas Tech University Health Sciences Center, Lubbock, and KinderGenome Genetics Private Practice, 5347 W Mockingbird, Dallas, TX 75209, USA
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32
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Danzi MC, Dohrn MF, Fazal S, Beijer D, Rebelo AP, Cintra V, Züchner S. Deep structured learning for variant prioritization in Mendelian diseases. Nat Commun 2023; 14:4167. [PMID: 37443090 PMCID: PMC10345112 DOI: 10.1038/s41467-023-39306-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 06/07/2023] [Indexed: 07/15/2023] Open
Abstract
Effective computer-aided or automated variant evaluations for monogenic diseases will expedite clinical diagnostic and research efforts of known and novel disease-causing genes. Here we introduce MAVERICK: a Mendelian Approach to Variant Effect pRedICtion built in Keras. MAVERICK is an ensemble of transformer-based neural networks that can classify a wide range of protein-altering single nucleotide variants (SNVs) and indels and assesses whether a variant would be pathogenic in the context of dominant or recessive inheritance. We demonstrate that MAVERICK outperforms all other major programs that assess pathogenicity in a Mendelian context. In a cohort of 644 previously solved patients with Mendelian diseases, MAVERICK ranks the causative pathogenic variant within the top five variants in over 95% of cases. Seventy-six percent of cases were solved by the top-ranked variant. MAVERICK ranks the causative pathogenic variant in hitherto novel disease genes within the first five candidate variants in 70% of cases. MAVERICK has already facilitated the identification of a novel disease gene causing a degenerative motor neuron disease. These results represent a significant step towards automated identification of causal variants in patients with Mendelian diseases.
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Affiliation(s)
- Matt C Danzi
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Maike F Dohrn
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
- Department of Neurology, Medical Faculty of the RWTH Aachen University, Aachen, Germany
| | - Sarah Fazal
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Danique Beijer
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Adriana P Rebelo
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Vivian Cintra
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Stephan Züchner
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA.
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Lin ZJ, Huang BX, Su LF, Zhu SY, He JW, Chen GZ, Lin PX. Sub-region analysis of DMD gene in cases with idiopathic generalized epilepsy. Neurogenetics 2023; 24:161-169. [PMID: 37022522 DOI: 10.1007/s10048-023-00715-x] [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: 01/27/2023] [Accepted: 03/24/2023] [Indexed: 04/07/2023]
Abstract
Gene sub-region encoded protein domain is the basic unit for protein structure and function. The DMD gene is the largest coding gene in humans, with its phenotype relevant to idiopathic generalized epilepsy. We hypothesized variants clustered in sub-regions of idiopathic generalized epilepsy genes and investigated the relationship between the DMD gene and idiopathic generalized epilepsy. Whole exome sequencing was performed in 106 idiopathic generalized epilepsy individuals. DMD variants were filtered with variant type, allele frequency, in silico prediction, hemizygous or homozygous status in the population, inheritance mode, and domain location. Variants located at the sub-regions were selected by the subRVIS software. The pathogenicity of variants was evaluated by the American College of Medical Genetics and Genomics criteria. Articles on functional studies related to epilepsy for variants clustered protein domains were reviewed. In sub-regions of the DMD gene, two variants were identified in two unrelated cases with juvenile absence epilepsy or juvenile myoclonic epilepsy. The pathogenicity of both variants was uncertain significance. Allele frequency of both variants in probands with idiopathic generalized epilepsy reached statistical significance compared with the population (Fisher's test, p = 2.02 × 10-6, adjusted α = 4.52 × 10-6). The variants clustered in the spectrin domain of dystrophin, which binds to glycoprotein complexes and indirectly affects ion channels contributing to epileptogenesis. Gene sub-region analysis suggests a weak association between the DMD gene and idiopathic generalized epilepsy. Functional analysis of gene sub-region helps infer the pathogenesis of idiopathic generalized epilepsy.
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Affiliation(s)
- Zhi-Jian Lin
- Department of Neurology, The Affiliated Hospital of Putian University, Brain Science Institute of Putian University, 999 Dongzhen East Road, Licheng District, Putian, 351100, China
| | - Bi-Xia Huang
- Department of Neurology, The Affiliated Hospital of Putian University, Brain Science Institute of Putian University, 999 Dongzhen East Road, Licheng District, Putian, 351100, China
| | - Li-Fang Su
- Department of Neurology, The Affiliated Hospital of Putian University, Brain Science Institute of Putian University, 999 Dongzhen East Road, Licheng District, Putian, 351100, China
| | - Sheng-Yin Zhu
- Department of Neurology, The Affiliated Hospital of Putian University, Brain Science Institute of Putian University, 999 Dongzhen East Road, Licheng District, Putian, 351100, China
| | - Jun-Wei He
- Department of Neurology, The Affiliated Hospital of Putian University, Brain Science Institute of Putian University, 999 Dongzhen East Road, Licheng District, Putian, 351100, China
| | - Guo-Zhang Chen
- Department of Neurology, The Affiliated Hospital of Putian University, Brain Science Institute of Putian University, 999 Dongzhen East Road, Licheng District, Putian, 351100, China
| | - Peng-Xing Lin
- Department of Neurology, The Affiliated Hospital of Putian University, Brain Science Institute of Putian University, 999 Dongzhen East Road, Licheng District, Putian, 351100, China.
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Andres EM, Earnest KK, Xuan H, Zhong C, Rice ML, Raza MH. Innovative Family-Based Genetically Informed Series of Analyses of Whole-Exome Data Supports Likely Inheritance for Grammar in Children with Specific Language Impairment. CHILDREN (BASEL, SWITZERLAND) 2023; 10:1119. [PMID: 37508616 PMCID: PMC10378399 DOI: 10.3390/children10071119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/22/2023] [Accepted: 06/26/2023] [Indexed: 07/30/2023]
Abstract
Individuals with specific language impairment (SLI) struggle with language acquisition despite average non-verbal intelligence and otherwise typical development. One SLI account focuses on grammar acquisition delay. The current study aimed to detect novel rare genetic variants associated with performance on a grammar assessment, the Test of Early Grammatical Impairment (TEGI), in English-speaking children. The TEGI was selected due to its sensitivity and specificity, consistently high heritability estimates, and its absence from all but one molecular genetic study. We performed whole exome sequencing (WES) in eight families with SLI (n = 74 total) and follow-up Sanger sequencing in additional unrelated probands (n = 146). We prioritized rare exonic variants shared by individuals with low TEGI performance (n = 34) from at least two families under two filtering workflows: (1) novel and (2) previously reported candidate genes. Candidate variants were observed on six new genes (PDHA2, PCDHB3, FURIN, NOL6, IQGAP3, and BAHCC1), and two genes previously reported for overall language ability (GLI3 and FLNB). We specifically suggest PCDHB3, a protocadherin gene, and NOL6 are critical for ribosome synthesis, as they are important targets of SLI investigation. The proposed SLI candidate genes associated with TEGI performance emphasize the utility of precise phenotyping and family-based genetic study.
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Affiliation(s)
- Erin M Andres
- Thompson Center for Autism and Neurodevelopment, University of Missouri, Columbia, MO 65201, USA
| | | | - Hao Xuan
- Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS 66045, USA
| | - Cuncong Zhong
- Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS 66045, USA
| | - Mabel L Rice
- Language Acquisition Studies Lab, University of Kansas, Lawrence, KS 66045, USA
- Child Language Doctoral Program, University of Kansas, Lawrence, KS 66045, USA
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35
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Sahana G, Cai Z, Sanchez MP, Bouwman AC, Boichard D. Invited review: Good practices in genome-wide association studies to identify candidate sequence variants in dairy cattle. J Dairy Sci 2023:S0022-0302(23)00357-0. [PMID: 37349208 DOI: 10.3168/jds.2022-22694] [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: 08/24/2022] [Accepted: 02/01/2023] [Indexed: 06/24/2023]
Abstract
Genotype data from dairy cattle selection programs have greatly facilitated GWAS to identify variants related to economic traits. Results can enhance the accuracy of genomic prediction, analyze more complex models that go beyond additive effects, elucidate the genetic architecture of a trait, and finally, decipher the underlying biology of traits. The entire process, comprising data generation, quality control, statistical analyses, interpretation of association results, and linking results to biology should be designed and executed to minimize the generation of false-positive and false-negative associations and misleading links to biological processes. This review aims to provide general guidelines for data analysis that address data quality control, association tests, adjustment for population stratification, and significance evaluation to improve the reliability of conclusions. We also provide guidance on post-GWAS strategy and the interpretation of results. These guidelines are tailored to dairy cattle, which are characterized by long-range linkage disequilibrium, large half-sib families, and routinely collected phenotypes, requiring different approaches than those applied in human GWAS. We discuss common limitations and challenges that have been overlooked in the analysis and interpretation of GWAS to identify candidate sequence variants in dairy cattle.
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Affiliation(s)
- G Sahana
- Aarhus University, Center for Quantitative Genetic and Genomics, 8830 Tjele, Denmark.
| | - Z Cai
- Aarhus University, Center for Quantitative Genetic and Genomics, 8830 Tjele, Denmark
| | - M P Sanchez
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, France
| | - A C Bouwman
- Wageningen University & Research, Animal Breeding and Genomics, 6700 AH Wageningen, the Netherlands
| | - D Boichard
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, France
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36
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Gao H, Hamp T, Ede J, Schraiber JG, McRae J, Singer-Berk M, Yang Y, Dietrich ASD, Fiziev PP, Kuderna LFK, Sundaram L, Wu Y, Adhikari A, Field Y, Chen C, Batzoglou S, Aguet F, Lemire G, Reimers R, Balick D, Janiak MC, Kuhlwilm M, Orkin JD, Manu S, Valenzuela A, Bergman J, Rousselle M, Silva FE, Agueda L, Blanc J, Gut M, de Vries D, Goodhead I, Harris RA, Raveendran M, Jensen A, Chuma IS, Horvath JE, Hvilsom C, Juan D, Frandsen P, de Melo FR, Bertuol F, Byrne H, Sampaio I, Farias I, do Amaral JV, Messias M, da Silva MNF, Trivedi M, Rossi R, Hrbek T, Andriaholinirina N, Rabarivola CJ, Zaramody A, Jolly CJ, Phillips-Conroy J, Wilkerson G, Abee C, Simmons JH, Fernandez-Duque E, Kanthaswamy S, Shiferaw F, Wu D, Zhou L, Shao Y, Zhang G, Keyyu JD, Knauf S, Le MD, Lizano E, Merker S, Navarro A, Bataillon T, Nadler T, Khor CC, Lee J, Tan P, Lim WK, Kitchener AC, Zinner D, Gut I, Melin A, Guschanski K, Schierup MH, Beck RMD, Umapathy G, Roos C, Boubli JP, Lek M, Sunyaev S, O'Donnell-Luria A, Rehm HL, Xu J, Rogers J, Marques-Bonet T, Farh KKH. The landscape of tolerated genetic variation in humans and primates. Science 2023; 380:eabn8153. [PMID: 37262156 DOI: 10.1126/science.abn8197] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 03/22/2023] [Indexed: 06/03/2023]
Abstract
Personalized genome sequencing has revealed millions of genetic differences between individuals, but our understanding of their clinical relevance remains largely incomplete. To systematically decipher the effects of human genetic variants, we obtained whole-genome sequencing data for 809 individuals from 233 primate species and identified 4.3 million common protein-altering variants with orthologs in humans. We show that these variants can be inferred to have nondeleterious effects in humans based on their presence at high allele frequencies in other primate populations. We use this resource to classify 6% of all possible human protein-altering variants as likely benign and impute the pathogenicity of the remaining 94% of variants with deep learning, achieving state-of-the-art accuracy for diagnosing pathogenic variants in patients with genetic diseases.
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Affiliation(s)
- Hong Gao
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | - Tobias Hamp
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | - Jeffrey Ede
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | - Joshua G Schraiber
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | - Jeremy McRae
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | - Moriel Singer-Berk
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Boston, MA, 02142, USA
| | - Yanshen Yang
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | | | - Petko P Fiziev
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | - Lukas F K Kuderna
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Laksshman Sundaram
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | - Yibing Wu
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | - Aashish Adhikari
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | - Yair Field
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | - Chen Chen
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | - Serafim Batzoglou
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | - Francois Aguet
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
| | - Gabrielle Lemire
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Boston, MA, 02142, USA
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Rebecca Reimers
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
| | - Daniel Balick
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
- Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Mareike C Janiak
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - Martin Kuhlwilm
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- Department of Evolutionary Anthropology, University of Vienna, Djerassiplatz 1, 1030 Vienna, Austria
- Human Evolution and Archaeological Sciences (HEAS), University of Vienna, 1030 Vienna, Austria
| | - Joseph D Orkin
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- Département d'anthropologie, Université de Montréal, 3150 Jean-Brillant, Montréal, QC H3T 1N8, Canada
| | - Shivakumara Manu
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad 500007, India
| | - Alejandro Valenzuela
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Juraj Bergman
- Bioinformatics Research Centre, Aarhus University, Aarhus 8000, Denmark
- Section for Ecoinformatics & Biodiversity, Department of Biology, Aarhus University, 8000 Aarhus, Denmark
| | | | - Felipe Ennes Silva
- Research Group on Primate Biology and Conservation, Mamirauá Institute for Sustainable Development, Estrada da Bexiga 2584, Tefé, Amazonas, CEP 69553-225, Brazil
- Evolutionary Biology and Ecology (EBE), Département de Biologie des Organismes, Université libre de Bruxelles (ULB), Av. Franklin D. Roosevelt 50, CP 160/12, B-1050 Brussels, Belgium
| | - Lidia Agueda
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
| | - Julie Blanc
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
| | - Marta Gut
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
| | - Dorien de Vries
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - Ian Goodhead
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - R Alan Harris
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Axel Jensen
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, SE-75236 Uppsala, Sweden
| | | | - Julie E Horvath
- North Carolina Museum of Natural Sciences, Raleigh, NC 27601, USA
- Department of Biological and Biomedical Sciences, North Carolina Central University, Durham, NC 27707, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - David Juan
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
| | | | | | - Fabrício Bertuol
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Amazonas, 69080-900, Brazil
| | - Hazel Byrne
- Department of Anthropology, University of Utah, Salt Lake City, UT 84102, USA
| | - Iracilda Sampaio
- Universidade Federal do Para, Guamá, Belém - PA, 66075-110, Brazil
| | - Izeni Farias
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Amazonas, 69080-900, Brazil
| | - João Valsecchi do Amaral
- Research Group on Terrestrial Vertebrate Ecology, Mamirauá Institute for Sustainable Development, Tefé, Amazonas, 69553-225, Brazil
- Rede de Pesquisa para Estudos sobre Diversidade, Conservação e Uso da Fauna na Amazônia - RedeFauna, Manaus, Amazonas, 69080-900, Brazil
- Comunidad de Manejo de Fauna Silvestre en la Amazonía y en Latinoamérica - ComFauna, Iquitos, Loreto, 16001, Peru
| | - Mariluce Messias
- Universidade Federal de Rondonia, Porto Velho, Rondônia, 78900-000, Brazil
- PPGREN - Programa de Pós-Graduação "Conservação e Uso dos Recursos Naturais and BIONORTE - Programa de Pós-Graduação em Biodiversidade e Biotecnologia da Rede BIONORTE, Universidade Federal de Rondonia, Porto Velho, Rondônia, 78900-000, Brazil
| | - Maria N F da Silva
- Instituto Nacional de Pesquisas da Amazonia, Petrópolis, Manaus - AM, 69067-375, Brazil
| | - Mihir Trivedi
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad 500007, India
| | - Rogerio Rossi
- Universidade Federal do Mato Grosso, Boa Esperança, Cuiabá - MT, 78060-900, Brazil
| | - Tomas Hrbek
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Amazonas, 69080-900, Brazil
- Department of Biology, Trinity University, San Antonio, TX 78212, USA
| | - Nicole Andriaholinirina
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga, Mahajanga, 401, Madagascar
| | - Clément J Rabarivola
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga, Mahajanga, 401, Madagascar
| | - Alphonse Zaramody
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga, Mahajanga, 401, Madagascar
| | | | | | - Gregory Wilkerson
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christian Abee
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Joe H Simmons
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Eduardo Fernandez-Duque
- Yale University, New Haven, CT 06520, USA
- Universidad Nacional de Formosa, Argentina Fundacion ECO, Formosa, Argentina
| | | | - Fekadu Shiferaw
- Guinea Worm Eradication Program, The Carter Center Ethiopia, PoB 16316, Addis Ababa 1000, Ethiopia
| | - Dongdong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Long Zhou
- Center for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yong Shao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Guojie Zhang
- Center for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou 310058, China
- Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Liangzhu Laboratory, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou 311121, China
- Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Shangcheng District, Hangzhou 310006, China
| | - Julius D Keyyu
- Tanzania Wildlife Research Institute (TAWIRI), Head Office, P.O. Box 661, Arusha, Tanzania
| | - Sascha Knauf
- Institute of International Animal Health/One Health, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, 17493 Greifswald - Insei Riems, Germany
| | - Minh D Le
- Department of Environmental Ecology, Faculty of Environmental Sciences, University of Science and Central Institute for Natural Resources and Environmental Studies, Vietnam National University, Hanoi 100000, Vietnam
| | - Esther Lizano
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, 08010 Barcelona, Spain
| | - Stefan Merker
- Department of Zoology, State Museum of Natural History Stuttgart, 70191 Stuttgart, Germany
| | - Arcadi Navarro
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, c/ Columnes s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Av. Doctor Aiguader, N88, 08003 Barcelona, Spain
- BarcelonaBeta Brain Research Center, Pasqual Maragall Foundation, C. Wellington 30, 08005 Barcelona, Spain
| | - Thomas Bataillon
- Bioinformatics Research Centre, Aarhus University, Aarhus 8000, Denmark
| | - Tilo Nadler
- Cuc Phuong Commune, Nho Quan District, Ninh Binh Province 430000, Vietnam
| | - Chiea Chuen Khor
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore 138672, Republic of Singapore
| | - Jessica Lee
- Mandai Nature, 80 Mandai Lake Road, Singapore 729826, Republic of Singapore
| | - Patrick Tan
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore 138672, Republic of Singapore
- SingHealth Duke-NUS Institute of Precision Medicine (PRISM), Singapore 168582, Republic of Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore 168582, Republic of Singapore
| | - Weng Khong Lim
- SingHealth Duke-NUS Institute of Precision Medicine (PRISM), Singapore 168582, Republic of Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore 168582, Republic of Singapore
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore 168582, Republic of Singapore
| | - Andrew C Kitchener
- Department of Natural Sciences, National Museums Scotland, Chambers Street, Edinburgh EH1 1JF, UK
- School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, UK
| | - Dietmar Zinner
- Cognitive Ethology Laboratory, Germany Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
- Department of Primate Cognition, Georg-August-Universität Göttingen, 37077 Göttingen, Germany
- Leibniz Science Campus Primate Cognition, 37077 Göttingen, Germany
| | - Ivo Gut
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
- Universitat Pompeu Fabra, Pg. Luís Companys 23, 08010 Barcelona, Spain
| | - Amanda Melin
- Department of Anthropology & Archaeology, University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, Canada
- Department of Medical Genetics, 3330 Hospital Drive NW, HMRB 202, Calgary, AB T2N 4N1, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, Canada
| | - Katerina Guschanski
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, SE-75236 Uppsala, Sweden
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh EH8 9XP, UK
| | | | - Robin M D Beck
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - Govindhaswamy Umapathy
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad 500007, India
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Kellnerweg 4, 37077 Göttingen, Germany
| | - Jean P Boubli
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - Monkol Lek
- Department of Genetics, Yale School of Medicine, New Haven, CT 06520, USA
| | - Shamil Sunyaev
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
- Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Boston, MA, 02142, USA
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Heidi L Rehm
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Boston, MA, 02142, USA
- Department of Genetics, Yale School of Medicine, New Haven, CT 06520, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Jinbo Xu
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
- Toyota Technological Institute at Chicago, Chicago, IL 60637, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, 08010 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, c/ Columnes s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain
| | - Kyle Kai-How Farh
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA
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Altaf R, Ilyas U, Ma A, Shi M. Identification and validation of differentially expressed genes for targeted therapy in NSCLC using integrated bioinformatics analysis. Front Oncol 2023; 13:1206768. [PMID: 37324026 PMCID: PMC10264625 DOI: 10.3389/fonc.2023.1206768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 05/15/2023] [Indexed: 06/17/2023] Open
Abstract
Background Despite the high prevalence of lung cancer, with a five-year survival rate of only 23%, the underlying molecular mechanisms of non-small cell lung cancer (NSCLC) remain unknown. There is a great need to identify reliable candidate biomarker genes for early diagnosis and targeted therapeutic strategies to prevent cancer progression. Methods In this study, four datasets obtained from the Gene Expression Omnibus were evaluated for NSCLC- associated differentially expressed genes (DEGs) using bioinformatics analysis. About 10 common significant DEGs were shortlisted based on their p-value and FDR (DOCK4, ID2, SASH1, NPR1, GJA4, TBX2, CD24, HBEGF, GATA3, and DDR1). The expression of significant genes was validated using experimental data obtained from TCGA and the Human Protein Atlas database. The human proteomic data for post- translational modifications was used to interpret the mutations in these genes. Results Validation of DEGs revealed a significant difference in the expression of hub genes in normal and tumor tissues. Mutation analysis revealed 22.69%, 48.95%, and 47.21% sequence predicted disordered regions of DOCK4, GJA4, and HBEGF, respectively. The gene-gene and drug-gene network analysis revealed important interactions between genes and chemicals suggesting they could act as probable drug targets. The system-level network showed important interactions between these genes, and the drug interaction network showed that these genes are affected by several types of chemicals that could serve as potential drug targets. Conclusions The study demonstrates the importance of systemic genetics in identifying potential drug- targeted therapies for NSCLC. The integrative system- level approach should contribute to a better understanding of disease etiology and may accelerate drug discovery for many cancer types.
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Affiliation(s)
- Reem Altaf
- Department of Pharmacy, Iqra University, Islamabad, Pakistan
| | - Umair Ilyas
- Department of Pharmaceutics, Riphah Institute of Pharmaceutical Sciences, Riphah International University, Islamabad, Pakistan
| | - Anmei Ma
- Department of Medical Oncology, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
- Department of Clinical Pharmacy, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Meiqi Shi
- Department of Medical Oncology, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
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Gupta S, Mathur P, Mishra AK, Medicherla KM, Bandapalli OR, Suravajhala P. Whole Exome-Trio Analysis Reveals Rare Variants Associated with Congenital Pouch Colon. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10050902. [PMID: 37238450 DOI: 10.3390/children10050902] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 04/18/2023] [Accepted: 04/19/2023] [Indexed: 05/28/2023]
Abstract
Anorectal malformations (ARM) are individually common, but Congenital Pouch Colon (CPC) is a rare anorectal anomaly that causes a dilated pouch and communication with the genitourinary tract. In this work, we attempted to identify de novo heterozygous missense variants, and further discovered variants of unknown significance (VUS) which could provide insights into CPC manifestation. From whole exome sequencing (WES) performed earlier, the trio exomes were analyzed from those who were admitted to J.K. Lon Hospital, SMS Medical College, Jaipur, India, between 2011 and 2017. The proband exomes were compared with the unaffected sibling/family members, and we sought to ask whether any variants of significant interest were associated with the CPC manifestation. The WES data from a total of 64 samples including 16 affected neonates (11 male and 5 female) with their parents and unaffected siblings were used for the study. We examined the role of rare allelic variation associated with CPC in a 16 proband/parent trio family, comparing the mutations to those of their unaffected parents/siblings. We also performed RNA-Seq as a pilot to find whether or not the genes harboring these mutations were differentially expressed. Our study revealed extremely rare variants, viz., TAF1B, MUC5B and FRG1, which were further validated for disease-causing mutations associated with CPC, further closing the gaps of surgery by bringing intervention in therapies.
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Affiliation(s)
- Sonal Gupta
- Department of Biotechnology and Bioinformatics, Birla Institute of Scientific Research (BISR), Statue Circle, Jaipur 302021, India
- Amity Institute of Biotechnology, Amity University Rajasthan, Kant Kalwar, Jaipur 303002, India
| | - Praveen Mathur
- Department of Pediatric Surgery, SMS Medical College and Hospital, JLN Marg, Jaipur 302004, India
| | | | - Krishna Mohan Medicherla
- Department of Biotechnology and Bioinformatics, Birla Institute of Scientific Research (BISR), Statue Circle, Jaipur 302021, India
- Department of Bioengineering, Birla Institute of Technology, Mesra, Jaipur Campus, 27-Malaviya Industrial, Area, Jaipur 302017, India
| | | | - Prashanth Suravajhala
- Department of Biotechnology and Bioinformatics, Birla Institute of Scientific Research (BISR), Statue Circle, Jaipur 302021, India
- Bioclues.org, Hyderabad 500072, India
- Amrita School of Biotechnology, Amrita University, Vallikavu, Clappana P.O. Box 690525, Kerala, India
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Alex AM, Buss C, Davis EP, Campos GDL, Donald KA, Fair DA, Gaab N, Gao W, Gilmore JH, Girault JB, Grewen K, Groenewold NA, Hankin BL, Ipser J, Kapoor S, Kim P, Lin W, Luo S, Norton ES, O'Connor TG, Piven J, Qiu A, Rasmussen JM, Skeide MA, Stein DJ, Styner MA, Thompson PM, Wakschlag L, Knickmeyer R. Genetic Influences on the Developing Young Brain and Risk for Neuropsychiatric Disorders. Biol Psychiatry 2023; 93:905-920. [PMID: 36932005 PMCID: PMC10136952 DOI: 10.1016/j.biopsych.2023.01.013] [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: 07/15/2022] [Revised: 01/09/2023] [Accepted: 01/11/2023] [Indexed: 01/30/2023]
Abstract
Imaging genetics provides an opportunity to discern associations between genetic variants and brain imaging phenotypes. Historically, the field has focused on adults and adolescents; very few imaging genetics studies have focused on brain development in infancy and early childhood (from birth to age 6 years). This is an important knowledge gap because developmental changes in the brain during the prenatal and early postnatal period are regulated by dynamic gene expression patterns that likely play an important role in establishing an individual's risk for later psychiatric illness and neurodevelopmental disabilities. In this review, we summarize findings from imaging genetics studies spanning from early infancy to early childhood, with a focus on studies examining genetic risk for neuropsychiatric disorders. We also introduce the Organization for Imaging Genomics in Infancy (ORIGINs), a working group of the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) consortium, which was established to facilitate large-scale imaging genetics studies in infancy and early childhood.
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Affiliation(s)
- Ann M Alex
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan
| | - Claudia Buss
- Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Medical Psychology, Berlin, Germany; Department of Pediatrics, University of California Irvine, Irvine, California; Development, Health and Disease Research Program, University of California Irvine, Irvine, California
| | - Elysia Poggi Davis
- Department of Pediatrics, University of California Irvine, Irvine, California; Department of Psychology, University of Denver, Denver, Colorado
| | - Gustavo de Los Campos
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan; Departments of Epidemiology & Biostatistics, Michigan State University, East Lansing, Michigan; Department of Statistics & Probability, Michigan State University, East Lansing, Michigan
| | - Kirsten A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa; Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Damien A Fair
- Masonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, Minnesota; Institute of Child Development, College of Education and Human Development, University of Minnesota, Minneapolis, Minnesota; Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Nadine Gaab
- Harvard Graduate School of Education, Harvard University, Cambridge, Massachusetts
| | - Wei Gao
- Cedars-Sinai Biomedical Imaging Research Institute, Los Angeles, California; Departments of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, California
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, North Carolina
| | - Karen Grewen
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Nynke A Groenewold
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa; South African Medical Research Council Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa; Department of Paediatrics and Child Health, University of Cape Town, Faculty of Health Sciences, Cape Town, South Africa
| | - Benjamin L Hankin
- Psychology Department, University of Illinois Urbana,-Champaign, Illinois
| | - Jonathan Ipser
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Shreya Kapoor
- Research Group Learning in Early Childhood, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Pilyoung Kim
- Department of Psychology, University of Denver, Denver, Colorado
| | - Weili Lin
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Shan Luo
- Department of Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, California; Department of Psychology, University of Southern California, Los Angeles, California; Center for Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles, Los Angeles, California
| | - Elizabeth S Norton
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois; Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Thomas G O'Connor
- Departments of Psychiatry, Psychology, Neuroscience, Obstetrics and Gynecology, University of Rochester, Rochester, New York
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, North Carolina
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore; NUS (Suzhou) Research Institute, National University of Singapore, China; the Institute for Health, National University of Singapore, Singapore; School of Computer Engineering and Science, Shanghai University, Shanghai, China; Institute of Data Science, National University of Singapore, Singapore; Department of Biomedical Engineering, the Johns Hopkins University, Baltimore, Maryland
| | - Jerod M Rasmussen
- Department of Pediatrics, University of California Irvine, Irvine, California; Development, Health and Disease Research Program, University of California Irvine, Irvine, California
| | - Michael A Skeide
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Research Group Learning in Early Childhood, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Dan J Stein
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa; Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Martin A Styner
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of University of the Sunshine Coast, Marina del Rey, California
| | - Laurie Wakschlag
- Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Rebecca Knickmeyer
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan; Department of Pediatrics and Human Development, Michigan State University, East Lansing, Michigan.
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Gao H, Hamp T, Ede J, Schraiber JG, McRae J, Singer-Berk M, Yang Y, Dietrich A, Fiziev P, Kuderna L, Sundaram L, Wu Y, Adhikari A, Field Y, Chen C, Batzoglou S, Aguet F, Lemire G, Reimers R, Balick D, Janiak MC, Kuhlwilm M, Orkin JD, Manu S, Valenzuela A, Bergman J, Rouselle M, Silva FE, Agueda L, Blanc J, Gut M, de Vries D, Goodhead I, Harris RA, Raveendran M, Jensen A, Chuma IS, Horvath J, Hvilsom C, Juan D, Frandsen P, de Melo FR, Bertuol F, Byrne H, Sampaio I, Farias I, do Amaral JV, Messias M, da Silva MNF, Trivedi M, Rossi R, Hrbek T, Andriaholinirina N, Rabarivola CJ, Zaramody A, Jolly CJ, Phillips-Conroy J, Wilkerson G, Abee C, Simmons JH, Fernandez-Duque E, Kanthaswamy S, Shiferaw F, Wu D, Zhou L, Shao Y, Zhang G, Keyyu JD, Knauf S, Le MD, Lizano E, Merker S, Navarro A, Batallion T, Nadler T, Khor CC, Lee J, Tan P, Lim WK, Kitchener AC, Zinner D, Gut I, Melin A, Guschanski K, Schierup MH, Beck RMD, Umapathy G, Roos C, Boubli JP, Lek M, Sunyaev S, O’Donnell A, Rehm H, Xu J, Rogers J, Marques-Bonet T, Kai-How Farh K. The landscape of tolerated genetic variation in humans and primates. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.01.538953. [PMID: 37205491 PMCID: PMC10187174 DOI: 10.1101/2023.05.01.538953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Personalized genome sequencing has revealed millions of genetic differences between individuals, but our understanding of their clinical relevance remains largely incomplete. To systematically decipher the effects of human genetic variants, we obtained whole genome sequencing data for 809 individuals from 233 primate species, and identified 4.3 million common protein-altering variants with orthologs in human. We show that these variants can be inferred to have non-deleterious effects in human based on their presence at high allele frequencies in other primate populations. We use this resource to classify 6% of all possible human protein-altering variants as likely benign and impute the pathogenicity of the remaining 94% of variants with deep learning, achieving state-of-the-art accuracy for diagnosing pathogenic variants in patients with genetic diseases. One Sentence Summary Deep learning classifier trained on 4.3 million common primate missense variants predicts variant pathogenicity in humans.
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Affiliation(s)
- Hong Gao
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Tobias Hamp
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Jeffrey Ede
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Joshua G. Schraiber
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Jeremy McRae
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Moriel Singer-Berk
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard; Boston, Massachusetts, 02142, USA
| | - Yanshen Yang
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Anastasia Dietrich
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Petko Fiziev
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Lukas Kuderna
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
- Institute of Evolutionary Biology (UPF-CSIC); PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Laksshman Sundaram
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Yibing Wu
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Aashish Adhikari
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Yair Field
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Chen Chen
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Serafim Batzoglou
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Francois Aguet
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
| | - Gabrielle Lemire
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard; Boston, Massachusetts, 02142, USA
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School; Boston, Massachusetts, 02115, USA
| | - Rebecca Reimers
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School; Boston, Massachusetts, 02115, USA
| | - Daniel Balick
- Division of Genetics, Brigham and Women’s Hospital, Harvard Medical School; Boston, Massachusetts, 02115, USA
| | - Mareike C. Janiak
- School of Science, Engineering & Environment, University of Salford; Salford, M5 4WT, United Kingdom
| | - Martin Kuhlwilm
- Institute of Evolutionary Biology (UPF-CSIC); PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- Department of Evolutionary Anthropology, University of Vienna; Djerassiplatz 1, 1030, Vienna, Austria
- Human Evolution and Archaeological Sciences (HEAS), University of Vienna; 1030, Vienna, Austria
| | - Joseph D. Orkin
- Institute of Evolutionary Biology (UPF-CSIC); PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- Département d’anthropologie, Université de Montréal; 3150 Jean-Brillant, Montréal, QC, H3T 1N8, Canada
| | - Shivakumara Manu
- Academy of Scientific and Innovative Research (AcSIR); Ghaziabad, 201002, India
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology; Hyderabad, 500007, India
| | - Alejandro Valenzuela
- Institute of Evolutionary Biology (UPF-CSIC); PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Juraj Bergman
- Bioinformatics Research Centre, Aarhus University; Aarhus, 8000, Denmark
- Section for Ecoinformatics & Biodiversity, Department of Biology, Aarhus University; Aarhus, 8000, Denmark
| | | | - Felipe Ennes Silva
- Research Group on Primate Biology and Conservation, Mamirauá Institute for Sustainable Development; Estrada da Bexiga 2584, Tefé, Amazonas, CEP 69553-225, Brazil
- Faculty of Sciences, Department of Organismal Biology, Unit of Evolutionary Biology and Ecology, Université Libre de Bruxelles (ULB); Avenue Franklin D. Roosevelt 50, 1050, Brussels, Belgium
| | - Lidia Agueda
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST); Baldiri i Reixac 4, 08028, Barcelona, Spain
| | - Julie Blanc
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST); Baldiri i Reixac 4, 08028, Barcelona, Spain
| | - Marta Gut
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST); Baldiri i Reixac 4, 08028, Barcelona, Spain
| | - Dorien de Vries
- School of Science, Engineering & Environment, University of Salford; Salford, M5 4WT, United Kingdom
| | - Ian Goodhead
- School of Science, Engineering & Environment, University of Salford; Salford, M5 4WT, United Kingdom
| | - R. Alan Harris
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine; Houston, Texas, 77030, USA
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine; Houston, Texas, 77030, USA
| | - Axel Jensen
- Department of Ecology and Genetics, Animal Ecology, Uppsala University; SE-75236, Uppsala, Sweden
| | | | - Julie Horvath
- North Carolina Museum of Natural Sciences; Raleigh, North Carolina, 27601, USA
- Department of Biological and Biomedical Sciences, North Carolina Central University; Durham, North Carolina , 27707, USA
- Department of Biological Sciences, North Carolina State University; Raleigh, North Carolina , 27695, USA
- Department of Evolutionary Anthropology, Duke University; Durham, North Carolina , 27708, USA
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - David Juan
- Institute of Evolutionary Biology (UPF-CSIC); PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
| | | | | | - Fabricio Bertuol
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL); Manaus, Amazonas, 69080-900, Brazil
| | - Hazel Byrne
- Department of Anthropology, University of Utah; Salt Lake City, Utah, 84102, USA
| | - Iracilda Sampaio
- Universidade Federal do Para; Guamá, Belém - PA, 66075-110, Brazil
| | - Izeni Farias
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL); Manaus, Amazonas, 69080-900, Brazil
| | - João Valsecchi do Amaral
- Research Group on Terrestrial Vertebrate Ecology, Mamirauá Institute for Sustainable Development; Tefé, Amazonas, 69553-225, Brazil
- Rede de Pesquisa para Estudos sobre Diversidade, Conservação e Uso da Fauna na Amazônia – RedeFauna; Manaus, Amazonas, 69080-900, Brazil
- Comunidad de Manejo de Fauna Silvestre en la Amazonía y en Latinoamérica – ComFauna; Iquitos, Loreto, 16001, Peru
| | - Mariluce Messias
- Universidade Federal de Rondonia; Porto Velho, Rondônia, 78900-000, Brazil
- PPGREN - Programa de Pós-Graduação “Conservação e Uso dos Recursos Naturais and BIONORTE - Programa de Pós-Graduação em Biodiversidade e Biotecnologia da Rede BIONORTE, Universidade Federal de Rondonia; Porto Velho, Rondônia, 78900-000, Brazil
| | - Maria N. F. da Silva
- Instituto Nacional de Pesquisas da Amazonia; Petrópolis, Manaus - AM, 69067-375, Brazil
| | - Mihir Trivedi
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology; Hyderabad, 500007, India
| | - Rogerio Rossi
- Universidade Federal do Mato Grosso; Boa Esperança, Cuiabá - MT, 78060-900, Brazil
| | - Tomas Hrbek
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL); Manaus, Amazonas, 69080-900, Brazil
- Department of Biology, Trinity University; San Antonio, Texas, 78212, USA
| | - Nicole Andriaholinirina
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga; Mahajanga, 401, Madagascar
| | - Clément J. Rabarivola
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga; Mahajanga, 401, Madagascar
| | - Alphonse Zaramody
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga; Mahajanga, 401, Madagascar
| | | | | | - Gregory Wilkerson
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center; Houston, Texas, 77030, USA
| | | | - Joe H. Simmons
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center; Houston, Texas, 77030, USA
| | - Eduardo Fernandez-Duque
- Yale University; New Haven, Connecticut, 06520, USA
- Universidad Nacional de Formosa, Argentina Fundacion ECO, Formosa, Argentina
| | | | | | - Dongdong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan, 650223, China
| | - Long Zhou
- Center for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Yong Shao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan, 650223, China
| | - Guojie Zhang
- Center for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou, 310058, China
- Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen; Copenhagen, DK-2100, Denmark
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China
- Liangzhu Laboratory, Zhejiang University Medical Center; 1369 West Wenyi Road, Hangzhou, 311121, China
- Women’s Hospital, School of Medicine, Zhejiang University; 1 Xueshi Road, Shangcheng District, Hangzhou, 310006, China
| | - Julius D. Keyyu
- Tanzania Wildlife Research Institute (TAWIRI), Head Office; P.O.Box 661, Arusha, Tanzania
| | - Sascha Knauf
- Institute of International Animal Health/One Health, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health; 17493 Greifswald - Isle of Riems, Germany
| | - Minh D. Le
- Department of Environmental Ecology, Faculty of Environmental Sciences, University of Science and Central Institute for Natural Resources and Environmental Studies, Vietnam National University; Hanoi, 100000, Vietnam
| | - Esther Lizano
- Institute of Evolutionary Biology (UPF-CSIC); PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain; Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Stefan Merker
- Department of Zoology, State Museum of Natural History Stuttgart; 70191 Stuttgart, Germany
| | - Arcadi Navarro
- Institute of Evolutionary Biology (UPF-CSIC); PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA) and Universitat Pompeu Fabra, Pg. Luís Companys 23, Barcelona, 08010, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology; Av. Doctor Aiguader, N88, Barcelona, 08003, Spain
- BarcelonaBeta Brain Research Center, Pasqual Maragall Foundation; C. Wellington 30, Barcelona, 08005, Spain
| | - Thomas Batallion
- Bioinformatics Research Centre, Aarhus University; Aarhus, 8000, Denmark
| | - Tilo Nadler
- Cuc Phuong Commune; Nho Quan District, Ninh Binh Province, 430000, Vietnam
| | - Chiea Chuen Khor
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore 138672, Republic of Singapore
| | - Jessica Lee
- Mandai Nature; 80 Mandai Lake Road, Singapore 729826, Republic of Singapore
| | - Patrick Tan
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore 138672, Republic of Singapore
- SingHealth Duke-NUS Institute of Precision Medicine (PRISM); Singapore 168582, Republic of Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School; Singapore 168582, Republic of Singapore
| | - Weng Khong Lim
- SingHealth Duke-NUS Institute of Precision Medicine (PRISM); Singapore 168582, Republic of Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School; Singapore 168582, Republic of Singapore
- SingHealth Duke-NUS Genomic Medicine Centre; Singapore 168582, Republic of Singapore
| | - Andrew C. Kitchener
- Department of Natural Sciences, National Museums Scotland; Chambers Street, Edinburgh, EH1 1JF, UK
- School of Geosciences, University of Edinburgh; Drummond Street, Edinburgh, EH8 9XP, UK
| | - Dietmar Zinner
- Cognitive Ethology Laboratory, Germany Primate Center, Leibniz Institute for Primate Research; 37077 Göttingen, Germany
- Department of Primate Cognition, Georg-August-Universität Göttingen; 37077 Göttingen, Germany
| | - Ivo Gut
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST); Baldiri i Reixac 4, 08028, Barcelona, Spain
- Universitat Pompeu Fabra, Pg. Luís Companys 23, Barcelona, 08010, Spain
| | - Amanda Melin
- Leibniz Science Campus Primate Cognition; 37077 Göttingen, Germany
- Department of Anthropology & Archaeology and Department of Medical Genetics
| | - Katerina Guschanski
- Department of Ecology and Genetics, Animal Ecology, Uppsala University; SE-75236, Uppsala, Sweden
- Alberta Children’s Hospital Research Institute; University of Calgary; 2500 University Dr NW T2N 1N4, Calgary, Alberta, Canada
| | | | - Robin M. D. Beck
- School of Science, Engineering & Environment, University of Salford; Salford, M5 4WT, United Kingdom
| | - Govindhaswamy Umapathy
- Academy of Scientific and Innovative Research (AcSIR); Ghaziabad, 201002, India
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology; Hyderabad, 500007, India
| | - Christian Roos
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh; Edinburgh, EH8 9XP, UK
| | - Jean P. Boubli
- School of Science, Engineering & Environment, University of Salford; Salford, M5 4WT, United Kingdom
| | - Monkol Lek
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research; Kellnerweg 4, 37077 Göttingen, Germany
| | - Shamil Sunyaev
- Division of Genetics, Brigham and Women’s Hospital, Harvard Medical School; Boston, Massachusetts, 02115, USA
- Department of Genetics, Yale School of Medicine; New Haven, Connecticut, 06520, USA
| | - Anne O’Donnell
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard; Boston, Massachusetts, 02142, USA
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School; Boston, Massachusetts, 02115, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Heidi Rehm
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard; Boston, Massachusetts, 02142, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School; Boston, Massachusetts, 02115, USA
| | - Jinbo Xu
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
- Toyota Technological Institute at Chicago; Chicago, Illinois, 60637, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine; Houston, Texas, 77030, USA
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC); PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST); Baldiri i Reixac 4, 08028, Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain; Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA) and Universitat Pompeu Fabra, Pg. Luís Companys 23, Barcelona, 08010, Spain
| | - Kyle Kai-How Farh
- Illumina Artificial Intelligence Laboratory, Illumina Inc.; Foster City, California, 94404, USA
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Sato H, Osonoi K, Sharlin CS, Shoda T. Genetic and Molecular Contributors in Eosinophilic Esophagitis. Curr Allergy Asthma Rep 2023; 23:255-266. [PMID: 37084008 PMCID: PMC11136533 DOI: 10.1007/s11882-023-01075-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/20/2023] [Indexed: 04/22/2023]
Abstract
PURPOSE OF REVIEW Eosinophilic esophagitis (EoE) is an allergic inflammatory esophageal disorder with a complex underlying genetic and molecular etiology. The interest of the scientific community in EoE has grown considerably over the past three decades, and the understanding of the genetic and molecular mechanisms involved in this disease has greatly increased. RECENT FINDINGS In this article, we aim to provide both historic aspects and updates on the recent genetic and molecular advances in the understanding of EoE. Although EoE is a relatively newly described disorder, much progress has been made toward identifying the genetic and molecular factors contributing to the disease pathogenesis by a variety of approaches with next-generation sequencing technologies, including genome-wide association study, whole exome sequencing, and bulk and single-cell RNA sequencing. This review highlights the multifaceted impacts of various findings that have shaped the current molecular and genetic landscape of EoE, providing insights that facilitate further understanding of the disease process.
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Affiliation(s)
- Hiroki Sato
- Division of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Kasumi Osonoi
- Division of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Colby S Sharlin
- Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Tetsuo Shoda
- Division of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, 3333 Burnet Avenue, MLC 7028, 45229, Cincinnati, OH, USA.
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Raj Shekhar B, Rupani K, Raghunath Parkar S, Sunil Nayak A, Vasant Kumbhar B, Khare SP, Menon S, Gawde H, Kumar Das D. Identifying Novel Risk Conferring Genes Involved in Glycosylation Processes with Familial Schizophrenia in an Indian Cohort: Prediction of ADAMTS9 gene Variant for Structural Stability. Gene 2023; 872:147443. [PMID: 37105505 DOI: 10.1016/j.gene.2023.147443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/10/2023] [Accepted: 04/21/2023] [Indexed: 04/29/2023]
Abstract
Schizophrenia is a complex neuropsychiatric disorder and heritability is as high as 80% making it the most heritable mental disorder. Although GWAS has identified numerous variants, the pathophysiology is still elusive. Here, an attempt was made to identify genetic risk factors in familial cases of schizophrenia that are associated with a common causative pathway. To achieve this objective, exome sequencing was done in 4 familial cases and identified six unique coding variants in five genes. Among these genes, PIGQ gene has two pathogenic variants, one nonsense and in-frame deletion. One missense variant in GALNT16 and one in GALNT5 have variable damaging score, however, the other variants, in ADAMTS9 and in LTBP4 have the highest damaging score. Further analysis showed that the variant of LTBP4 was not present in the functional domain. The other missense variant in the ADAMTS9 gene was found to be significant and was present in the thrombospondin repeat motif, one of the important motifs. Detailed molecular dynamics simulation study on this variant showed a damaging effect on structural stability. Since, all these genes culminated into the glycosylation process, it was evident that an aberrant glycosylation process may be one of the risk factors. Although, extracellular matrix formation through glycosylation have been shown to be associated, the involvement of ADAMTS9 and PIGQ gene mediated glycosylation has not been reported. In this paper, a novel link between ADAMTS9 and PIGQ gene with schizophrenia have been reported. Therefore, this novel observation has contributed immensely to the existing knowledge on risk factor of Schizophrenia.
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Affiliation(s)
- Bipin Raj Shekhar
- Genetic Research Centre, ICMR-National Institute for Research in Reproductive and Child Health, Parel, Mumbai, Maharashtra-400012, India; Stem Cell Biology, ICMR-National Institute for Research in Reproductive and Child Health, Parel, Mumbai, Maharashtra-400012, India
| | - Karishma Rupani
- Department of Psychiatry, Seth GS Medical College and KEM Hospital, Parel, Mumbai, Maharashtra-400012, India
| | - Shubhangi Raghunath Parkar
- Department of Psychiatry, Seth GS Medical College and KEM Hospital, Parel, Mumbai, Maharashtra-400012, India
| | - Ajita Sunil Nayak
- Department of Psychiatry, Seth GS Medical College and KEM Hospital, Parel, Mumbai, Maharashtra-400012, India
| | - Bajarang Vasant Kumbhar
- Department of Biological Sciences, Sunandan Divatia School of Science, NMIMS University (Deemed), Mumbai, Maharashtra-400012, India
| | - Satyajeet P Khare
- Symbiosis School of Biological Sciences, Symbiosis International University, Pune, Maharashtra-412115, India
| | - Shyla Menon
- Stem Cell Biology, ICMR-National Institute for Research in Reproductive and Child Health, Parel, Mumbai, Maharashtra-400012, India
| | - Harshavardhan Gawde
- Genetic Research Centre, ICMR-National Institute for Research in Reproductive and Child Health, Parel, Mumbai, Maharashtra-400012, India
| | - Dhanjit Kumar Das
- Stem Cell Biology, ICMR-National Institute for Research in Reproductive and Child Health, Parel, Mumbai, Maharashtra-400012, India.
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Nguyen XTA, Moekotte L, Plomp AS, Bergen AA, van Genderen MM, Boon CJF. Retinitis Pigmentosa: Current Clinical Management and Emerging Therapies. Int J Mol Sci 2023; 24:ijms24087481. [PMID: 37108642 PMCID: PMC10139437 DOI: 10.3390/ijms24087481] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 04/01/2023] [Accepted: 04/15/2023] [Indexed: 04/29/2023] Open
Abstract
Retinitis pigmentosa (RP) comprises a group of inherited retinal dystrophies characterized by the degeneration of rod photoreceptors, followed by the degeneration of cone photoreceptors. As a result of photoreceptor degeneration, affected individuals experience gradual loss of visual function, with primary symptoms of progressive nyctalopia, constricted visual fields and, ultimately, central vision loss. The onset, severity and clinical course of RP shows great variability and unpredictability, with most patients already experiencing some degree of visual disability in childhood. While RP is currently untreatable for the majority of patients, significant efforts have been made in the development of genetic therapies, which offer new hope for treatment for patients affected by inherited retinal dystrophies. In this exciting era of emerging gene therapies, it remains imperative to continue supporting patients with RP using all available options to manage their condition. Patients with RP experience a wide variety of physical, mental and social-emotional difficulties during their lifetime, of which some require timely intervention. This review aims to familiarize readers with clinical management options that are currently available for patients with RP.
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Affiliation(s)
- Xuan-Thanh-An Nguyen
- Department of Ophthalmology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Lude Moekotte
- Department of Ophthalmology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Astrid S Plomp
- Department of Clinical Genetics, Amsterdam University Medical Centers, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Arthur A Bergen
- Department of Clinical Genetics, Amsterdam University Medical Centers, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Maria M van Genderen
- Department of Ophthalmology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
- Bartiméus, Diagnostic Center for Complex Visual Disorders, 3703 AJ Zeist, The Netherlands
| | - Camiel J F Boon
- Department of Ophthalmology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
- Department of Ophthalmology, Amsterdam University Medical Centers, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
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Riedhammer KM, Nguyen TMT, Koşukcu C, Calzada-Wack J, Li Y, Saygılı S, Wimmers V, Kim GJ, Chrysanthou M, Bakey Z, Kraiger M, Sanz-Moreno A, Amarie OV, Rathkolb B, Klein-Rodewald T, Garrett L, Hölter SM, Seisenberger C, Haug S, Marschall S, Wurst W, Fuchs H, Gailus-Durner V, Wuttke M, de Angelis MH, Ćomić J, Doğan ÖA, Özlük Y, Taşdemir M, Ağbaş A, Canpolat N, Ćalışkan S, Weber R, Bergmann C, Jeanpierre C, Saunier S, Lim TY, Hildebrandt F, Alhaddad B, Wu K, Antony D, Matschkal J, Schaaf C, Renders L, Schmaderer C, Meitinger T, Heemann U, Köttgen A, Arnold S, Ozaltin F, Schmidts M, Hoefele J. Implication of FOXD2 dysfunction in syndromic congenital anomalies of the kidney and urinary tract (CAKUT). MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.21.23287206. [PMID: 36993625 PMCID: PMC10055578 DOI: 10.1101/2023.03.21.23287206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
Background Congenital anomalies of the kidney and urinary tract (CAKUT) are the predominant cause for chronic kidney disease below 30 years of age. Many monogenic forms have been discovered mainly due to comprehensive genetic testing like exome sequencing (ES). However, disease-causing variants in known disease-associated genes still only explain a proportion of cases. Aim of this study was to unravel the underlying molecular mechanism of syndromic CAKUT in two multiplex families with presumed autosomal recessive inheritance. Methods and Results ES in the index individuals revealed two different rare homozygous variants in FOXD2, a transcription factor not previously implicated in CAKUT in humans: a frameshift in family 1 and a missense variant in family 2 with family segregation patterns consistent with autosomal-recessive inheritance. CRISPR/Cas9-derived Foxd2 knock-out (KO) mice presented with bilateral dilated renal pelvis accompanied by renal papilla atrophy while extrarenal features included mandibular, ophthalmologic, and behavioral anomalies, recapitulating the phenotype of humans with FOXD2 dysfunction. To study the pathomechanism of FOXD2-dysfunction-mediated developmental renal defects, in a complementary approach, we generated CRISPR/Cas9-mediated KO of Foxd2 in ureteric-bud-induced mouse metanephric mesenchyme cells. Transcriptomic analyses revealed enrichment of numerous differentially expressed genes important in renal/urogenital development, including Pax2 and Wnt4 as well as gene expression changes indicating a cell identity shift towards a stromal cell identity. Histology of Foxd2 KO mouse kidneys confirmed increased fibrosis. Further, GWAS data (genome-wide association studies) suggests that FOXD2 could play a role for maintenance of podocyte integrity during adulthood. Conclusions In summary, our data implicate that FOXD2 dysfunction is a very rare cause of autosomal recessive syndromic CAKUT and suggest disturbances of the PAX2-WNT4 cell signaling axis contribute to this phenotype.
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Affiliation(s)
- Korbinian M. Riedhammer
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, 81675, Germany
- Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, 81675, Germany
| | - Thanh-Minh T. Nguyen
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6525, The Netherlands
| | - Can Koşukcu
- Department of Bioinformatics, Hacettepe University Institute of Health Sciences, Ankara, 06100, Türkiye
| | - Julia Calzada-Wack
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Yong Li
- Institute of Genetic Epidemiology, Faculty of Medicine and University Medical Center Freiburg, 79106 Freiburg, Germany
| | - Seha Saygılı
- Department of Pediatric Nephrology, Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Istanbul, Türkiye
| | - Vera Wimmers
- Institute of Experimental and Clinical Pharmacology and Toxicology II, Faculty of Medicine, University of Freiburg and, BIOSS Centre of Biological Signalling Studies, Albert-Ludwigs-University, Freiburg, 79104, Germany
- Center for Pediatrics and Adolescent Medicine, University Hospital Freiburg, Freiburg University Faculty of Medicine, Freiburg, 79106, Germany
| | - Gwang-Jin Kim
- Institute of Experimental and Clinical Pharmacology and Toxicology II, Faculty of Medicine, University of Freiburg and, BIOSS Centre of Biological Signalling Studies, Albert-Ludwigs-University, Freiburg, 79104, Germany
| | - Marialena Chrysanthou
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6525, The Netherlands
| | - Zeineb Bakey
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6525, The Netherlands
- Center for Pediatrics and Adolescent Medicine, University Hospital Freiburg, Freiburg University Faculty of Medicine, Freiburg, 79106, Germany
| | - Markus Kraiger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Adrián Sanz-Moreno
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Oana V Amarie
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Birgit Rathkolb
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University Munich, Munich, 81377, Germany
- German Center for Diabetes Research (DZD), Neuherberg, 85764, Germany
| | - Tanja Klein-Rodewald
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Lillian Garrett
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
- Institute of Developmental Genetics, Helmholtz Zentrum Munchen, German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Sabine M. Hölter
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
- Institute of Developmental Genetics, Helmholtz Zentrum Munchen, German Research Center for Environmental Health, Neuherberg, 85764, Germany
- Chair of Developmental Genetics, TUM School of Life Sciences (SoLS), Technical University of Munich, Freising, 85354, Germany
| | - Claudia Seisenberger
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University Munich, Munich, 81377, Germany
| | - Stefan Haug
- Institute of Genetic Epidemiology, Faculty of Medicine and University Medical Center Freiburg, 79106 Freiburg, Germany
| | - Susan Marschall
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum Munchen, German Research Center for Environmental Health, Neuherberg, 85764, Germany
- Chair of Developmental Genetics, TUM School of Life Sciences (SoLS), Technical University of Munich, Freising, 85354, Germany
- Deutsches Institut fur Neurodegenerative Erkrankungen (DZNE) Site Munich, Munich, 81377, Germany
- Munich Cluster for Systems Neurology (SyNergy), Adolf-Butenandt-Institut, Ludwig-Maximilians-University Munich, Munich, 81377, Germany
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Matthias Wuttke
- Institute of Genetic Epidemiology, Faculty of Medicine and University Medical Center Freiburg, 79106 Freiburg, Germany
| | - Martin Hrabe de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
- German Center for Diabetes Research (DZD), Neuherberg, 85764, Germany
- Chair of Experimental Genetics, TUM School of Life Sciences (SoLS), Technical University of Munich, Freising, 85354, Germany
| | - Jasmina Ćomić
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, 81675, Germany
- Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, 81675, Germany
| | - Özlem Akgün Doğan
- Department of Pediatric Genetics, Acibadem Mehmet Ali Aydinlar University, Faculty of Medicine, Istanbul, Türkiye
| | - Yasemin Özlük
- Department of Pathology, Istanbul University, Istanbul Faculty of Medicine, Istanbul, Türkiye
| | - Mehmet Taşdemir
- Department of Pediatric Nephrology, Istinye University School of Medicine, Liv Hospital, Istanbul, Türkiye
| | - Ayşe Ağbaş
- Department of Pediatric Nephrology, Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Istanbul, Türkiye
| | - Nur Canpolat
- Department of Pediatric Nephrology, Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Istanbul, Türkiye
| | - Salim Ćalışkan
- Department of Pediatric Nephrology, Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Istanbul, Türkiye
| | - Ruthild Weber
- Department of Human Genetics, Hannover Medical School, Hannover, 30625, Germany
| | - Carsten Bergmann
- Medizinische Genetik Mainz, Limbach Genetics, Mainz, Germany
- Department of Medicine IV, Faculty of Medicine, Medical Center-University of Freiburg, Freiburg, Germany
| | - Cecile Jeanpierre
- Inserm U1163, Laboratoire des Maladies Renales Hereditaires Institut Imagine, Université de Paris, Paris, France
| | - Sophie Saunier
- Inserm U1163, Laboratoire des Maladies Renales Hereditaires Institut Imagine, Université de Paris, Paris, France
| | - Tze Y. Lim
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York, USA
| | - Friedhelm Hildebrandt
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Bader Alhaddad
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, 81675, Germany
| | - Kaman Wu
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6525, The Netherlands
| | - Dinu Antony
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6525, The Netherlands
- Institute of Experimental and Clinical Pharmacology and Toxicology II, Faculty of Medicine, University of Freiburg and, BIOSS Centre of Biological Signalling Studies, Albert-Ludwigs-University, Freiburg, 79104, Germany
| | - Julia Matschkal
- Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, 81675, Germany
| | - Christian Schaaf
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, 81675, Germany
- Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, 81675, Germany
| | - Lutz Renders
- Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, 81675, Germany
| | - Christoph Schmaderer
- Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, 81675, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, 81675, Germany
| | - Uwe Heemann
- Department of Nephrology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, 81675, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and University Medical Center Freiburg, 79106 Freiburg, Germany
- CIBSS - Center for Integrative Biological Signaling Studies, University of Freiburg, 79106 Freiburg, Germany
| | - Sebastian Arnold
- Institute of Experimental and Clinical Pharmacology and Toxicology II, Faculty of Medicine, University of Freiburg and, BIOSS Centre of Biological Signalling Studies, Albert-Ludwigs-University, Freiburg, 79104, Germany
- CIBSS - Center for Integrative Biological Signaling Studies, University of Freiburg, 79106 Freiburg, Germany
| | - Fatih Ozaltin
- Department of Bioinformatics, Hacettepe University Institute of Health Sciences, Ankara, 06100, Türkiye
- Department of Pediatric Nephrology, Hacettepe University Faculty of Medicine, 06100, Sihhiye, Ankara, Türkiye
| | - Miriam Schmidts
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6525, The Netherlands
- Center for Pediatrics and Adolescent Medicine, University Hospital Freiburg, Freiburg University Faculty of Medicine, Freiburg, 79106, Germany
- CIBSS - Center for Integrative Biological Signaling Studies, University of Freiburg, 79106 Freiburg, Germany
| | - Julia Hoefele
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, 81675, Germany
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Gundry M, Sankaran VG. Hacking hematopoiesis - emerging tools for examining variant effects. Dis Model Mech 2023; 16:288409. [PMID: 36826849 PMCID: PMC9983777 DOI: 10.1242/dmm.049857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
Hematopoiesis is a continuous process of blood and immune cell production. It is orchestrated by thousands of gene products that respond to extracellular signals by guiding cell fate decisions to meet the needs of the organism. Although much of our knowledge of this process comes from work in model systems, we have learned a great deal from studies on human genetic variation. Considerable insight has emerged from studies on presumed monogenic blood disorders, which continue to provide key insights into the mechanisms critical for hematopoiesis. Furthermore, the emergence of large-scale biobanks and cohorts has uncovered thousands of genomic loci associated with blood cell traits and diseases. Some of these blood cell trait-associated loci act as modifiers of what were once thought to be monogenic blood diseases. However, most of these loci await functional validation. Here, we discuss the validation bottleneck and emerging methods to more effectively connect variant to function. In particular, we highlight recent innovations in genome editing, which have paved the path forward for high-throughput functional assessment of loci. Finally, we discuss existing barriers to progress, including challenges in manipulating the genomes of primary hematopoietic cells.
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Affiliation(s)
- Michael Gundry
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Vijay G. Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Author for correspondence ()
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46
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Lu C, Zaucha J, Gam R, Fang H, Ben Smithers, Oates ME, Bernabe-Rubio M, Williams J, Zelenka N, Pandurangan AP, Tandon H, Shihab H, Kalaivani R, Sung M, Sardar AJ, Tzovoras BG, Danovi D, Gough J. Hypothesis-free phenotype prediction within a genetics-first framework. Nat Commun 2023; 14:919. [PMID: 36808136 PMCID: PMC9938118 DOI: 10.1038/s41467-023-36634-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 02/10/2023] [Indexed: 02/19/2023] Open
Abstract
Cohort-wide sequencing studies have revealed that the largest category of variants is those deemed 'rare', even for the subset located in coding regions (99% of known coding variants are seen in less than 1% of the population. Associative methods give some understanding how rare genetic variants influence disease and organism-level phenotypes. But here we show that additional discoveries can be made through a knowledge-based approach using protein domains and ontologies (function and phenotype) that considers all coding variants regardless of allele frequency. We describe an ab initio, genetics-first method making molecular knowledge-based interpretations for exome-wide non-synonymous variants for phenotypes at the organism and cellular level. By using this reverse approach, we identify plausible genetic causes for developmental disorders that have eluded other established methods and present molecular hypotheses for the causal genetics of 40 phenotypes generated from a direct-to-consumer genotype cohort. This system offers a chance to extract further discovery from genetic data after standard tools have been applied.
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Affiliation(s)
- Chang Lu
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Francis Crick Avenue, Cambridge, CB2 0QH, UK
| | - Jan Zaucha
- Department of Computer Science, University of Bristol, Bristol, BS8 1UB, UK
| | - Rihab Gam
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Francis Crick Avenue, Cambridge, CB2 0QH, UK
| | - Hai Fang
- Department of Computer Science, University of Bristol, Bristol, BS8 1UB, UK
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ben Smithers
- Department of Computer Science, University of Bristol, Bristol, BS8 1UB, UK
| | - Matt E Oates
- Department of Computer Science, University of Bristol, Bristol, BS8 1UB, UK
| | - Miguel Bernabe-Rubio
- Centre for Gene Therapy and Regenerative Medicine, King's College London, Guy's Hospital, Floor 28, Tower Wing, Great Maze Pond, London, SE1 9RT, UK
| | - James Williams
- Centre for Gene Therapy and Regenerative Medicine, King's College London, Guy's Hospital, Floor 28, Tower Wing, Great Maze Pond, London, SE1 9RT, UK
| | - Natalie Zelenka
- Department of Computer Science, University of Bristol, Bristol, BS8 1UB, UK
| | - Arun Prasad Pandurangan
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Francis Crick Avenue, Cambridge, CB2 0QH, UK
| | - Himani Tandon
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Francis Crick Avenue, Cambridge, CB2 0QH, UK
| | - Hashem Shihab
- Department of Computer Science, University of Bristol, Bristol, BS8 1UB, UK
| | - Raju Kalaivani
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Francis Crick Avenue, Cambridge, CB2 0QH, UK
| | - Minkyung Sung
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Francis Crick Avenue, Cambridge, CB2 0QH, UK
| | - Adam J Sardar
- Department of Computer Science, University of Bristol, Bristol, BS8 1UB, UK
| | | | - Davide Danovi
- Centre for Gene Therapy and Regenerative Medicine, King's College London, Guy's Hospital, Floor 28, Tower Wing, Great Maze Pond, London, SE1 9RT, UK
| | - Julian Gough
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Francis Crick Avenue, Cambridge, CB2 0QH, UK.
- Department of Computer Science, University of Bristol, Bristol, BS8 1UB, UK.
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Klämbt V, Buerger F, Wang C, Naert T, Richter K, Nauth T, Weiss AC, Sieckmann T, Lai E, Connaughton DM, Seltzsam S, Mann N, Majmundar AJ, Wu CHW, Onuchic-Whitford AC, Shril S, Schneider S, Schierbaum L, Dai R, Bekheirnia MR, Joosten M, Shlomovitz O, Vivante A, Banne E, Mane S, Lifton RP, Kirschner KM, Kispert A, Rosenberger G, Fischer KD, Lienkamp SS, Zegers MM, Hildebrandt F. Genetic Variants in ARHGEF6 Cause Congenital Anomalies of the Kidneys and Urinary Tract in Humans, Mice, and Frogs. J Am Soc Nephrol 2023; 34:273-290. [PMID: 36414417 PMCID: PMC10103091 DOI: 10.1681/asn.2022010050] [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: 01/27/2022] [Revised: 09/30/2022] [Accepted: 11/08/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND About 40 disease genes have been described to date for isolated CAKUT, the most common cause of childhood CKD. However, these genes account for only 20% of cases. ARHGEF6, a guanine nucleotide exchange factor that is implicated in biologic processes such as cell migration and focal adhesion, acts downstream of integrin-linked kinase (ILK) and parvin proteins. A genetic variant of ILK that causes murine renal agenesis abrogates the interaction of ILK with a murine focal adhesion protein encoded by Parva , leading to CAKUT in mice with this variant. METHODS To identify novel genes that, when mutated, result in CAKUT, we performed exome sequencing in an international cohort of 1265 families with CAKUT. We also assessed the effects in vitro of wild-type and mutant ARHGEF6 proteins, and the effects of Arhgef6 deficiency in mouse and frog models. RESULTS We detected six different hemizygous variants in the gene ARHGEF6 (which is located on the X chromosome in humans) in eight individuals from six families with CAKUT. In kidney cells, overexpression of wild-type ARHGEF6 -but not proband-derived mutant ARHGEF6 -increased active levels of CDC42/RAC1, induced lamellipodia formation, and stimulated PARVA-dependent cell spreading. ARHGEF6-mutant proteins showed loss of interaction with PARVA. Three-dimensional Madin-Darby canine kidney cell cultures expressing ARHGEF6-mutant proteins exhibited reduced lumen formation and polarity defects. Arhgef6 deficiency in mouse and frog models recapitulated features of human CAKUT. CONCLUSIONS Deleterious variants in ARHGEF6 may cause dysregulation of integrin-parvin-RAC1/CDC42 signaling, thereby leading to X-linked CAKUT.
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Affiliation(s)
- Verena Klämbt
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Pediatric Gastroenterology, Nephrology and Metabolic Diseases, Charité Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Clinician Scientist Program, Berlin, Germany
| | - Florian Buerger
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Chunyan Wang
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Nephrology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Thomas Naert
- Institute of Anatomy, Faculty of Medicine, University of Zurich, Zurich, Switzerland
| | - Karin Richter
- Institute for Biochemistry and Cell Biology, Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany
| | - Theresa Nauth
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anna-Carina Weiss
- Institut für Molekularbiologie, Medizinische Hochschule Hannover, Hannover, Germany
| | - Tobias Sieckmann
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Translatationale Physiologie, Berlin, Germany
| | - Ethan Lai
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Dervla M. Connaughton
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Steve Seltzsam
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Nina Mann
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Amar J. Majmundar
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Chen-Han W. Wu
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
- Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
- Departments of Genetics and Urology, Case Western Reserve University School of Medicine and University Hospitals, Cleveland, Ohio
| | - Ana C. Onuchic-Whitford
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
- Renal Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Shirlee Shril
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sophia Schneider
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Luca Schierbaum
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Rufeng Dai
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Mir Reza Bekheirnia
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Marieke Joosten
- Department of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Omer Shlomovitz
- Department of Pediatrics B, Edmond and Lily Safra Children's Hospital, Sackler Faculty of Medicine, Sheba Medical Center, Tel-Hashomer, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Asaf Vivante
- Department of Pediatrics B, Edmond and Lily Safra Children's Hospital, Sackler Faculty of Medicine, Sheba Medical Center, Tel-Hashomer, Israel
| | - Ehud Banne
- The Genetics Institute, Kaplan Medical Center—Rehovot, Hebrew University and Hadassah Medical School, Jerusalem, Israel
| | - Shrikant Mane
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut
- Yale Center for Mendelian Genomics, Yale University School of Medicine, New Haven, Connecticut
| | - Richard P. Lifton
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut
- Yale Center for Mendelian Genomics, Yale University School of Medicine, New Haven, Connecticut
- Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, New York
| | - Karin M. Kirschner
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Translatationale Physiologie, Berlin, Germany
| | - Andreas Kispert
- Institut für Molekularbiologie, Medizinische Hochschule Hannover, Hannover, Germany
| | - Georg Rosenberger
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Klaus-Dieter Fischer
- Institute for Biochemistry and Cell Biology, Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany
| | - Soeren S. Lienkamp
- Institute of Anatomy, Faculty of Medicine, University of Zurich, Zurich, Switzerland
| | - Mirjam M.P. Zegers
- Department of Cell Biology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Friedhelm Hildebrandt
- Division of Nephrology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
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48
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Functional characterization of GATA6 genetic variants associated with mild congenital heart defects. Biochem Biophys Res Commun 2023; 641:77-83. [PMID: 36525927 DOI: 10.1016/j.bbrc.2022.12.004] [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: 11/20/2022] [Accepted: 12/01/2022] [Indexed: 12/04/2022]
Abstract
Damaging GATA6 variants can cause moderate congenital heart defects. With the application of next-generation sequencing approaches, various novel GATA6 variants with unknown significance have been identified from a broad spectrum of congenital heart defects. However, functional assessment for distinct GATA6 variants from different severity of congenital heart defects, especially from mild defects, is lacking, which hinders our understanding of the genotype-phenotype correlations and underlying mechanisms. Here, we assessed the functional consequences of nine rare GATA6 variants, which had been implicated as the most significant variants associated with mild congenital heart defects using the largest case and control cohort. We examined the effects of these variants on subcellular localization, transcriptional activity, and protein interactions in 293T or AC16 cells and their ability to rescue heart malformation in gata6 zebrafish mutant. We found that two of these nine variants, Q120X and S424I, significantly decreased transcriptional activity. Additionally, Q120X altered subcellular localization. Consistent with the in vitro results, the in vivo results showed that Q120X and S424I lost their potency to rescue ventricular malformation in gata6 -/- embryos. The results indicated that Q120X and S424I are pathogenic in mild congenital heart defects. Further, the inconsistence of severely impaired Q120X function and mild CHDs phenotype suggested the complexity of the genotype-phenotype correlation between the GATA6 variant and heart phenotype, which may help to inform prenatal genetic counseling and pre-implantation genotyping for congenital heart defects.
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49
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Bhat V, Adzhubei IA, Fife JD, Lebo M, Cassa CA. Informing variant assessment using structured evidence from prior classifications (PS1, PM5, and PVS1 sequence variant interpretation criteria). Genet Med 2023; 25:16-26. [PMID: 36305854 DOI: 10.1016/j.gim.2022.09.009] [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: 05/07/2022] [Revised: 09/15/2022] [Accepted: 09/17/2022] [Indexed: 11/06/2022] Open
Abstract
PURPOSE This study aimed to explore whether evidence of pathogenicity from prior variant classifications in ClinVar could be used to inform variant interpretation using the American College of Medical Genetics and Genomics/Association for Molecular Pathology clinical guidelines. METHODS We identified distinct single-nucleotide variants (SNVs) that are either similar in location or in functional consequence to pathogenic variants in ClinVar and analyzed evidence in support of pathogenicity using 3 interpretation criteria. RESULTS Thousands of variants, including many in clinically actionable disease genes (American College of Medical Genetics and Genomics secondary findings v3.0), have evidence of pathogenicity from existing variant classifications, accounting for 2.5% of nonsynonymous SNVs within ClinVar. Notably, there are many variants with uncertain or conflicting classifications that cause the same amino acid substitution as other pathogenic variants (PS1, N = 323), variants that are predicted to cause different amino acid substitutions in the same codon as pathogenic variants (PM5, N = 7692), and loss-of-function variants that are present in genes in which many loss-of-function variants are classified as pathogenic (PVS1, N = 3635). Most of these variants have similar computational predictions of pathogenicity and splicing effect as their associated pathogenic variants. CONCLUSION Broadly, for >1.4 million SNVs exome wide, information from previously classified variants could be used to provide evidence of pathogenicity. We have developed a pipeline to identify variants meeting these criteria that may inform interpretation efforts.
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Affiliation(s)
- Vineel Bhat
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Ivan A Adzhubei
- Department of Biomedical Informatics, Blavatnik Institute, Harvard Medical School, Boston, MA
| | - James D Fife
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Matthew Lebo
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Boston, MA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Christopher A Cassa
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
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50
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Lane JM, Qian J, Mignot E, Redline S, Scheer FAJL, Saxena R. Genetics of circadian rhythms and sleep in human health and disease. Nat Rev Genet 2023; 24:4-20. [PMID: 36028773 PMCID: PMC10947799 DOI: 10.1038/s41576-022-00519-z] [Citation(s) in RCA: 41] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2022] [Indexed: 12/13/2022]
Abstract
Circadian rhythms and sleep are fundamental biological processes integral to human health. Their disruption is associated with detrimental physiological consequences, including cognitive, metabolic, cardiovascular and immunological dysfunctions. Yet many of the molecular underpinnings of sleep regulation in health and disease have remained elusive. Given the moderate heritability of circadian and sleep traits, genetics offers an opportunity that complements insights from model organism studies to advance our fundamental molecular understanding of human circadian and sleep physiology and linked chronic disease biology. Here, we review recent discoveries of the genetics of circadian and sleep physiology and disorders with a focus on those that reveal causal contributions to complex diseases.
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Affiliation(s)
- Jacqueline M Lane
- Center for Genomic Medicine and Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Jingyi Qian
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Emmanuel Mignot
- Center for Narcolepsy, Stanford University, Palo Alto, California, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Frank A J L Scheer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
| | - Richa Saxena
- Center for Genomic Medicine and Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
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