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Nair P, Steel KP, Lewis MA. Investigating the effects of a cryptic splice site in the En2 splice acceptor sequence used in the IKMC knockout-first alleles. Mamm Genome 2024:10.1007/s00335-024-10071-2. [PMID: 39354111 DOI: 10.1007/s00335-024-10071-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 09/17/2024] [Indexed: 10/03/2024]
Abstract
Targeted mouse mutants are a common tool used to investigate gene function. The International Knockout Mouse Consortium undertook a large-scale screen of mouse mutants, making use of the knockout-first allele design that contains the En2 splice acceptor sequence coupled to the lacZ reporter gene. Although the knockout-first allele was designed to interfere with splicing and thus disrupt gene function, the En2 sequence has been reported to be transcribed within the host gene mRNA due to a cryptic splice site within the En2 sequence which allows splicing to the next exon of the host gene. In some circumstances, this has the potential to permit translation of a mutant protein. Here, we describe our computational analysis of all the mouse protein-coding genes with established knockout-first embryonic stem cell lines, and our predictions of their transcription outcome should the En2 sequence be included. As part of the large-scale mutagenesis program, mutant mice underwent a broad phenotyping screen, and their phenotypes are available. No wide-scale effects on mouse phenotypes reported were found as a result of the predicted En2 insertion. However, the En2 insertion was found experimentally in the transcripts of 24 of 35 mutant alleles examined, including the five already described, two with evidence of readthrough. Splicing from the cryptic splice site also has the potential to disrupt expression of the lacZ reporter gene. It is recommended that mutant transcripts be checked for this insertion as well as for leaky transcription in studies involving knockout-first alleles.
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Affiliation(s)
- Prerna Nair
- Wolfson Sensory, Pain and Regeneration Centre, King's College London, London, SE1 1UL, UK
| | - Karen P Steel
- Wolfson Sensory, Pain and Regeneration Centre, King's College London, London, SE1 1UL, UK
| | - Morag A Lewis
- Wolfson Sensory, Pain and Regeneration Centre, King's College London, London, SE1 1UL, UK.
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2
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Cacheiro P, Pava D, Parkinson H, VanZanten M, Wilson R, Gunes O, The International Mouse Phenotyping Consortium, Smedley D. Computational identification of disease models through cross-species phenotype comparison. Dis Model Mech 2024; 17:dmm050604. [PMID: 38881316 PMCID: PMC11247498 DOI: 10.1242/dmm.050604] [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: 11/13/2023] [Accepted: 06/11/2024] [Indexed: 06/18/2024] Open
Abstract
The use of standardised phenotyping screens to identify abnormal phenotypes in mouse knockouts, together with the use of ontologies to describe such phenotypic features, allows the implementation of an automated and unbiased pipeline to identify new models of disease by performing phenotype comparisons across species. Using data from the International Mouse Phenotyping Consortium (IMPC), approximately half of mouse mutants are able to mimic, at least partially, the human ortholog disease phenotypes as computed by the PhenoDigm algorithm. We found the number of phenotypic abnormalities in the mouse and the corresponding Mendelian disorder, the pleiotropy and severity of the disease, and the viability and zygosity status of the mouse knockout to be associated with the ability of mouse models to recapitulate the human disorder. An analysis of the IMPC impact on disease gene discovery through a publication-tracking system revealed that the resource has been implicated in at least 109 validated rare disease-gene associations over the last decade.
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Affiliation(s)
- Pilar Cacheiro
- William Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Diego Pava
- William Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Helen Parkinson
- European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Maya VanZanten
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Robert Wilson
- European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Osman Gunes
- European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | | | - Damian Smedley
- William Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK
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3
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Haselimashhadi H, Babalola K, Wilson R, Groza T, Muñoz-Fuentes V. A consensus score to combine inferences from multiple centres. Mamm Genome 2023; 34:379-388. [PMID: 37154937 PMCID: PMC10382396 DOI: 10.1007/s00335-023-09993-0] [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: 11/08/2022] [Accepted: 03/02/2023] [Indexed: 05/10/2023]
Abstract
Experiments in which data are collected by multiple independent resources, including multicentre data, different laboratories within the same centre or with different operators, are challenging in design, data collection and interpretation. Indeed, inconsistent results across the resources are possible. In this paper, we propose a statistical solution for the problem of multi-resource consensus inferences when statistical results from different resources show variation in magnitude, directionality, and significance. Our proposed method allows combining the corrected p-values, effect sizes and the total number of centres into a global consensus score. We apply this method to obtain a consensus score for data collected by the International Mouse Phenotyping Consortium (IMPC) across 11 centres. We show the application of this method to detect sexual dimorphism in haematological data and discuss the suitability of the methodology.
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Affiliation(s)
- Hamed Haselimashhadi
- European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, UK.
| | - Kolawole Babalola
- European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, UK
| | - Robert Wilson
- European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, UK
| | - Tudor Groza
- European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, UK
| | - Violeta Muñoz-Fuentes
- European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, UK
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4
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Warkentin C, O’Connell MJ, Lee D. KOMPUTE: imputing summary statistics of missing phenotypes in high-throughput model organism data. BIOINFORMATICS ADVANCES 2023; 3:vbad100. [PMID: 37565237 PMCID: PMC10409646 DOI: 10.1093/bioadv/vbad100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 07/05/2023] [Accepted: 07/30/2023] [Indexed: 08/12/2023]
Abstract
Motivation The International Mouse Phenotyping Consortium (IMPC) is striving to build a comprehensive functional catalog of mammalian protein-coding genes by systematically producing and phenotyping gene-knockout mice for almost every protein-coding gene in the mouse genome and by testing associations between gene loss-of-function and phenotype. To date, the IMPC has identified over 90 000 gene-phenotype associations, but many phenotypes have not yet been measured for each gene, resulting in largely incomplete data; ∼75.6% of association summary statistics are still missing in the latest IMPC summary statistics dataset (IMPC release version 16). Results To overcome these challenges, we propose KOMPUTE, a novel method for imputing missing summary statistics in the IMPC dataset. Using conditional distribution properties of multivariate normal, KOMPUTE estimates the association Z-scores of unmeasured phenotypes for a particular gene as a conditional expectation given the Z-scores of measured phenotypes. Our evaluation of the method using simulated and real-world datasets demonstrates its superiority over the singular value decomposition matrix completion method in various scenarios. Availability and implementation An R package for KOMPUTE is publicly available at https://github.com/statsleelab/kompute, along with usage examples and results for different phenotype domains at https://statsleelab.github.io/komputeExamples.
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Affiliation(s)
- Coby Warkentin
- Department of Statistics, Miami University, Oxford, OH 45056, United States
- InfoWorks, Inc., Nashville, TN 37205, United States
| | | | - Donghyung Lee
- Department of Statistics, Miami University, Oxford, OH 45056, United States
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5
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Cacheiro P, Spielmann N, Mashhadi HH, Fuchs H, Gailus-Durner V, Smedley D, de Angelis MH. Knockout mice are an important tool for human monogenic heart disease studies. Dis Model Mech 2023; 16:dmm049770. [PMID: 36825469 PMCID: PMC10073007 DOI: 10.1242/dmm.049770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 02/15/2023] [Indexed: 02/25/2023] Open
Abstract
Mouse models are relevant to studying the functionality of genes involved in human diseases; however, translation of phenotypes can be challenging. Here, we investigated genes related to monogenic forms of cardiovascular disease based on the Genomics England PanelApp and aligned them to International Mouse Phenotyping Consortium (IMPC) data. We found 153 genes associated with cardiomyopathy, cardiac arrhythmias or congenital heart disease in humans, of which 151 have one-to-one mouse orthologues. For 37.7% (57/151), viability and heart data captured by electrocardiography, transthoracic echocardiography, morphology and pathology from embryos and young adult mice are available. In knockout mice, 75.4% (43/57) of these genes showed non-viable phenotypes, whereas records of prenatal, neonatal or infant death in humans were found for 35.1% (20/57). Multisystem phenotypes are common, with 58.8% (20/34) of heterozygous (homozygous lethal) and 78.6% (11/14) of homozygous (viable) mice showing cardiovascular, metabolic/homeostasis, musculoskeletal, hematopoietic, nervous system and/or growth abnormalities mimicking the clinical manifestations observed in patients. These IMPC data are critical beyond cardiac diagnostics given their multisystemic nature, allowing detection of abnormalities across physiological systems and providing a valuable resource to understand pleiotropic effects.
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Affiliation(s)
- Pilar Cacheiro
- William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, UK
| | - Nadine Spielmann
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Munich 85764, Germany
| | - Hamed Haseli Mashhadi
- European Molecular Biology Laboratory-European Bioinformatics Institute, Hinxton CB10 1SD, UK
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Munich 85764, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Munich 85764, Germany
| | - Damian Smedley
- William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, UK
| | - Martin Hrabĕ de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Munich 85764, Germany
- Chair of Experimental Genetics, TUM School of Life Sciences, Technische Universität München, Freising 85354, Germany
- German Center for Diabetes Research (DZD), Neuherberg 85764, Germany
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6
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Chee JM, Lanoue L, Clary D, Higgins K, Bower L, Flenniken A, Guo R, Adams DJ, Bosch F, Braun RE, Brown SDM, Chin HJG, Dickinson ME, Hsu CW, Dobbie M, Gao X, Galande S, Grobler A, Heaney JD, Herault Y, de Angelis MH, Mammano F, Nutter LMJ, Parkinson H, Qin C, Shiroishi T, Sedlacek R, Seong JK, Xu Y, Brooks B, McKerlie C, Lloyd KCK, Westerberg H, Moshiri A. Genome-wide screening reveals the genetic basis of mammalian embryonic eye development. BMC Biol 2023; 21:22. [PMID: 36737727 PMCID: PMC9898963 DOI: 10.1186/s12915-022-01475-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 11/23/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Microphthalmia, anophthalmia, and coloboma (MAC) spectrum disease encompasses a group of eye malformations which play a role in childhood visual impairment. Although the predominant cause of eye malformations is known to be heritable in nature, with 80% of cases displaying loss-of-function mutations in the ocular developmental genes OTX2 or SOX2, the genetic abnormalities underlying the remaining cases of MAC are incompletely understood. This study intended to identify the novel genes and pathways required for early eye development. Additionally, pathways involved in eye formation during embryogenesis are also incompletely understood. This study aims to identify the novel genes and pathways required for early eye development through systematic forward screening of the mammalian genome. RESULTS Query of the International Mouse Phenotyping Consortium (IMPC) database (data release 17.0, August 01, 2022) identified 74 unique knockout lines (genes) with genetically associated eye defects in mouse embryos. The vast majority of eye abnormalities were small or absent eyes, findings most relevant to MAC spectrum disease in humans. A literature search showed that 27 of the 74 lines had previously published knockout mouse models, of which only 15 had ocular defects identified in the original publications. These 12 previously published gene knockouts with no reported ocular abnormalities and the 47 unpublished knockouts with ocular abnormalities identified by the IMPC represent 59 genes not previously associated with early eye development in mice. Of these 59, we identified 19 genes with a reported human eye phenotype. Overall, mining of the IMPC data yielded 40 previously unimplicated genes linked to mammalian eye development. Bioinformatic analysis showed that several of the IMPC genes colocalized to several protein anabolic and pluripotency pathways in early eye development. Of note, our analysis suggests that the serine-glycine pathway producing glycine, a mitochondrial one-carbon donator to folate one-carbon metabolism (FOCM), is essential for eye formation. CONCLUSIONS Using genome-wide phenotype screening of single-gene knockout mouse lines, STRING analysis, and bioinformatic methods, this study identified genes heretofore unassociated with MAC phenotypes providing models to research novel molecular and cellular mechanisms involved in eye development. These findings have the potential to hasten the diagnosis and treatment of this congenital blinding disease.
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Affiliation(s)
- Justine M Chee
- Oakland University William Beaumont School of Medicine, Rochester, MI, USA
| | - Louise Lanoue
- Mouse Biology Program, University of California Davis, Davis, CA, USA
| | - Dave Clary
- Mouse Biology Program, University of California Davis, Davis, CA, USA
| | - Kendall Higgins
- University of Miami: Miller School of Medicine, Miami, FL, USA
| | - Lynette Bower
- Mouse Biology Program, University of California Davis, Davis, CA, USA
| | - Ann Flenniken
- The Centre for Phenogenomics, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - Ruolin Guo
- The Centre for Phenogenomics, Toronto, ON, Canada
- The Hospital for Sick Children, Toronto, ON, Canada
| | - David J Adams
- The Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Fatima Bosch
- Centre of Animal Biotechnology and Gene Therapy (CBATEG), Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Steve D M Brown
- Medical Research Council Harwell Institute, Mammalian Genetics Unit and Mary Lyon Centre, Harwell Campus, Oxfordshire, UK
| | - H-J Genie Chin
- National Laboratory Animal Center, National Applied Research Laboratories (NARLabs), Taipei City, Taiwan
| | - Mary E Dickinson
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Chih-Wei Hsu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Michael Dobbie
- Phenomics Australia, The John Curtin School of Medical Research, Canberra, Australia
| | - Xiang Gao
- Nanjing Biomedical Research Institute, Nanjing University, Nanjing, China
| | - Sanjeev Galande
- Indian Institutes of Science Education and Research, Pune, India
| | - Anne Grobler
- Faculty of Health Sciences, PCDDP North-West University, Potchefstroom, South Africa
| | - Jason D Heaney
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Yann Herault
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Université de Strasbourg, Illkirch, France
| | - Martin Hrabe de Angelis
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Fabio Mammano
- Monterotondo Mouse Clinic, Italian National Research Council (CNR), Monterotondo Scalo, Italy
| | - Lauryl M J Nutter
- The Centre for Phenogenomics, Toronto, ON, Canada
- The Hospital for Sick Children, Toronto, ON, Canada
| | - Helen Parkinson
- European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK
| | - Chuan Qin
- National Laboratory Animal Center, National Applied Research Laboratories, Beijing, China
| | | | - Radislav Sedlacek
- Czech Center for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Vestec, Czech Republic
| | - J-K Seong
- Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, South Korea
| | - Ying Xu
- CAM-SU Genomic Resource Center, Soochow University, Suzhou, China
| | - Brian Brooks
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, NIH, Bethesda, MD, 20892, USA
| | - Colin McKerlie
- The Hospital for Sick Children, Toronto, ON, Canada
- Department of Laboratory Medicine & Pathobiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - K C Kent Lloyd
- Mouse Biology Program, University of California Davis, Davis, CA, USA
- Department of Surgery, School of Medicine, University of California Davis, Sacramento, CA, USA
| | - Henrik Westerberg
- Medical Research Council Harwell Institute, Mammalian Genetics Unit and Mary Lyon Centre, Harwell Campus, Oxfordshire, UK
| | - Ala Moshiri
- Department of Ophthalmology & Vision Science, School of Medicine, University of California Davis, Sacramento, CA, USA.
- UC Davis Eye Center, 4860 Y St., Ste. 2400, Sacramento, CA, 95817, USA.
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7
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Wotton JM, Peterson E, Flenniken AM, Bains RS, Veeraragavan S, Bower LR, Bubier JA, Parisien M, Bezginov A, Haselimashhadi H, Mason J, Moore MA, Stewart ME, Clary DA, Delbarre DJ, Anderson LC, D'Souza A, Goodwin LO, Harrison ME, Huang Z, Mckay M, Qu D, Santos L, Srinivasan S, Urban R, Vukobradovic I, Ward CS, Willett AM, Braun RE, Brown SD, Dickinson ME, Heaney JD, Kumar V, Lloyd KK, Mallon AM, McKerlie C, Murray SA, Nutter LM, Parkinson H, Seavitt JR, Wells S, Samaco RC, Chesler EJ, Smedley D, Diatchenko L, Baumbauer KM, Young EE, Bonin RP, Mandillo S, White JK. Identifying genetic determinants of inflammatory pain in mice using a large-scale gene-targeted screen. Pain 2022; 163:1139-1157. [PMID: 35552317 PMCID: PMC9100450 DOI: 10.1097/j.pain.0000000000002481] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 08/17/2021] [Accepted: 09/07/2021] [Indexed: 02/03/2023]
Abstract
ABSTRACT Identifying the genetic determinants of pain is a scientific imperative given the magnitude of the global health burden that pain causes. Here, we report a genetic screen for nociception, performed under the auspices of the International Mouse Phenotyping Consortium. A biased set of 110 single-gene knockout mouse strains was screened for 1 or more nociception and hypersensitivity assays, including chemical nociception (formalin) and mechanical and thermal nociception (von Frey filaments and Hargreaves tests, respectively), with or without an inflammatory agent (complete Freund's adjuvant). We identified 13 single-gene knockout strains with altered nocifensive behavior in 1 or more assays. All these novel mouse models are openly available to the scientific community to study gene function. Two of the 13 genes (Gria1 and Htr3a) have been previously reported with nociception-related phenotypes in genetically engineered mouse strains and represent useful benchmarking standards. One of the 13 genes (Cnrip1) is known from human studies to play a role in pain modulation and the knockout mouse reported herein can be used to explore this function further. The remaining 10 genes (Abhd13, Alg6, BC048562, Cgnl1, Cp, Mmp16, Oxa1l, Tecpr2, Trim14, and Trim2) reveal novel pathways involved in nociception and may provide new knowledge to better understand genetic mechanisms of inflammatory pain and to serve as models for therapeutic target validation and drug development.
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Affiliation(s)
| | - Emma Peterson
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Ann M. Flenniken
- The Centre for Phenogenomics, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - Rasneer S. Bains
- The Mary Lyon Centre, MRC Harwell Institute, Didcot, Oxfordshire, United Kingdom
| | - Surabi Veeraragavan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, United States
| | - Lynette R. Bower
- Mouse Biology Program, University of California-Davis, Davis, CA, United States
| | | | - Marc Parisien
- Department of Anesthesia, Faculty of Medicine, Faculty of Dentistry, McGill University, Genome Building, Montreal, QC, Canada
| | - Alexandr Bezginov
- The Centre for Phenogenomics, Toronto, ON, Canada
- The Hospital for Sick Children, Toronto, ON, Canada
| | - Hamed Haselimashhadi
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, United Kingdom
| | - Jeremy Mason
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, United Kingdom
| | | | - Michelle E. Stewart
- The Mary Lyon Centre, MRC Harwell Institute, Didcot, Oxfordshire, United Kingdom
| | - Dave A. Clary
- Mouse Biology Program, University of California-Davis, Davis, CA, United States
| | - Daniel J. Delbarre
- Mammalian Genetics Unit, MRC Harwell Institute, Didcot, Oxfordshire, United Kingdom
| | | | - Abigail D'Souza
- The Centre for Phenogenomics, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | | | - Mark E. Harrison
- The Mary Lyon Centre, MRC Harwell Institute, Didcot, Oxfordshire, United Kingdom
| | - Ziyue Huang
- The Centre for Phenogenomics, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - Matthew Mckay
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Dawei Qu
- The Centre for Phenogenomics, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - Luis Santos
- Mammalian Genetics Unit, MRC Harwell Institute, Didcot, Oxfordshire, United Kingdom
| | - Subhiksha Srinivasan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
| | - Rachel Urban
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Igor Vukobradovic
- The Centre for Phenogenomics, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - Christopher S. Ward
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, United States
| | | | | | - Steve D.M. Brown
- Mammalian Genetics Unit, MRC Harwell Institute, Didcot, Oxfordshire, United Kingdom
| | - Mary E. Dickinson
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, United States
| | - Jason D. Heaney
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
| | - Vivek Kumar
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - K.C. Kent Lloyd
- Mouse Biology Program, University of California-Davis, Davis, CA, United States
- Department of Surgery, School of Medicine, University of California-Davis, Davis, CA, United States
| | - Ann-Marie Mallon
- Mammalian Genetics Unit, MRC Harwell Institute, Didcot, Oxfordshire, United Kingdom
| | - Colin McKerlie
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
- The Hospital for Sick Children, Toronto, ON, Canada
| | | | - Lauryl M.J. Nutter
- The Centre for Phenogenomics, Toronto, ON, Canada
- The Hospital for Sick Children, Toronto, ON, Canada
| | - Helen Parkinson
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, United Kingdom
| | - John R. Seavitt
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
| | - Sara Wells
- The Mary Lyon Centre, MRC Harwell Institute, Didcot, Oxfordshire, United Kingdom
| | - Rodney C. Samaco
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, United States
| | | | - Damian Smedley
- William Harvey Research Institute, Charterhouse Square, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Luda Diatchenko
- Department of Anesthesia, Faculty of Medicine, Faculty of Dentistry, McGill University, Genome Building, Montreal, QC, Canada
| | | | - Erin E. Young
- Anesthesiology, University of Kansas School of Medicine, KU Medical Center, Kansas City, KS, United States
| | - Robert P. Bonin
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
| | - Silvia Mandillo
- Institute of Biochemistry and Cell Biology-National Research Council, IBBC-CNR, Monterotondo (RM), Italy
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8
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Spielmann N, Miller G, Oprea TI, Hsu CW, Fobo G, Frishman G, Montrone C, Haseli Mashhadi H, Mason J, Munoz Fuentes V, Leuchtenberger S, Ruepp A, Wagner M, Westphal DS, Wolf C, Görlach A, Sanz-Moreno A, Cho YL, Teperino R, Brandmaier S, Sharma S, Galter IR, Östereicher MA, Zapf L, Mayer-Kuckuk P, Rozman J, Teboul L, Bunton-Stasyshyn RKA, Cater H, Stewart M, Christou S, Westerberg H, Willett AM, Wotton JM, Roper WB, Christiansen AE, Ward CS, Heaney JD, Reynolds CL, Prochazka J, Bower L, Clary D, Selloum M, Bou About G, Wendling O, Jacobs H, Leblanc S, Meziane H, Sorg T, Audain E, Gilly A, Rayner NW, Hitz MP, Zeggini E, Wolf E, Sedlacek R, Murray SA, Svenson KL, Braun RE, White JK, Kelsey L, Gao X, Shiroishi T, Xu Y, Seong JK, Mammano F, Tocchini-Valentini GP, Beaudet AL, Meehan TF, Parkinson H, Smedley D, Mallon AM, Wells SE, Grallert H, Wurst W, Marschall S, Fuchs H, Brown SDM, Flenniken AM, Nutter LMJ, McKerlie C, Herault Y, Lloyd KCK, Dickinson ME, Gailus-Durner V, Hrabe de Angelis M. Extensive identification of genes involved in congenital and structural heart disorders and cardiomyopathy. NATURE CARDIOVASCULAR RESEARCH 2022; 1:157-173. [PMID: 39195995 PMCID: PMC11358025 DOI: 10.1038/s44161-022-00018-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 01/03/2022] [Indexed: 08/29/2024]
Abstract
Clinical presentation of congenital heart disease is heterogeneous, making identification of the disease-causing genes and their genetic pathways and mechanisms of action challenging. By using in vivo electrocardiography, transthoracic echocardiography and microcomputed tomography imaging to screen 3,894 single-gene-null mouse lines for structural and functional cardiac abnormalities, here we identify 705 lines with cardiac arrhythmia, myocardial hypertrophy and/or ventricular dilation. Among these 705 genes, 486 have not been previously associated with cardiac dysfunction in humans, and some of them represent variants of unknown relevance (VUR). Mice with mutations in Casz1, Dnajc18, Pde4dip, Rnf38 or Tmem161b genes show developmental cardiac structural abnormalities, with their human orthologs being categorized as VUR. Using UK Biobank data, we validate the importance of the DNAJC18 gene for cardiac homeostasis by showing that its loss of function is associated with altered left ventricular systolic function. Our results identify hundreds of previously unappreciated genes with potential function in congenital heart disease and suggest causal function of five VUR in congenital heart disease.
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Affiliation(s)
- Nadine Spielmann
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Gregor Miller
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Tudor I Oprea
- Department of Internal Medicine, Division of Translational Informatics and Center of Biomedical Research Excellence in Autophagy, Inflammation, and Metabolism, UNM Health Sciences Center and UNM Comprehensive Cancer Center, Albuquerque, NM, USA
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Chih-Wei Hsu
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, USA
| | - Gisela Fobo
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Goar Frishman
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Corinna Montrone
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Hamed Haseli Mashhadi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Jeremy Mason
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Violeta Munoz Fuentes
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Stefanie Leuchtenberger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Andreas Ruepp
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Matias Wagner
- Institut für Humangenetik, Technische Universität Munich, Munich, Germany
| | - Dominik S Westphal
- Institut für Humangenetik, Technische Universität Munich, Munich, Germany
- Klinik und Poliklinik Innere Medizin I, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Cordula Wolf
- Department of Congenital Heart Defects and Pediatric Cardiology, German Heart Center Munich, Technical University Munich, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Agnes Görlach
- Experimental and Molecular Pediatric Cardiology, German Heart Center Munich, Technical University Munich, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich, Munich, Germany
| | - Adrián Sanz-Moreno
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Yi-Li Cho
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Raffaele Teperino
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Stefan Brandmaier
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum Munich, Munich, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Sapna Sharma
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum Munich, Munich, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Isabella Rikarda Galter
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Manuela A Östereicher
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Lilly Zapf
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Philipp Mayer-Kuckuk
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Jan Rozman
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Lydia Teboul
- Mammalian Genetics Unit and Mary Lyon Centre, Medical Research Council Harwell Institute, Harwell, UK
| | | | - Heather Cater
- Mammalian Genetics Unit and Mary Lyon Centre, Medical Research Council Harwell Institute, Harwell, UK
| | - Michelle Stewart
- Mammalian Genetics Unit and Mary Lyon Centre, Medical Research Council Harwell Institute, Harwell, UK
| | - Skevoulla Christou
- Mammalian Genetics Unit and Mary Lyon Centre, Medical Research Council Harwell Institute, Harwell, UK
| | - Henrik Westerberg
- Mammalian Genetics Unit and Mary Lyon Centre, Medical Research Council Harwell Institute, Harwell, UK
| | | | | | | | - Audrey E Christiansen
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, USA
| | - Christopher S Ward
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, USA
| | - Jason D Heaney
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, USA
| | - Corey L Reynolds
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, USA
| | - Jan Prochazka
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Lynette Bower
- Mouse Biology Program, University of California, Davis, Davis, CA, USA
| | - David Clary
- Mouse Biology Program, University of California, Davis, Davis, CA, USA
| | - Mohammed Selloum
- Université de Strasbourg, CNRS, INSERM, IGBMC, Institut Clinique de la Souris, PHENOMIN-ICS, Illkirch, France
| | - Ghina Bou About
- Université de Strasbourg, CNRS, INSERM, IGBMC, Institut Clinique de la Souris, PHENOMIN-ICS, Illkirch, France
| | - Olivia Wendling
- Université de Strasbourg, CNRS, INSERM, IGBMC, Institut Clinique de la Souris, PHENOMIN-ICS, Illkirch, France
| | - Hugues Jacobs
- Université de Strasbourg, CNRS, INSERM, IGBMC, Institut Clinique de la Souris, PHENOMIN-ICS, Illkirch, France
| | - Sophie Leblanc
- Université de Strasbourg, CNRS, INSERM, IGBMC, Institut Clinique de la Souris, PHENOMIN-ICS, Illkirch, France
| | - Hamid Meziane
- Université de Strasbourg, CNRS, INSERM, IGBMC, Institut Clinique de la Souris, PHENOMIN-ICS, Illkirch, France
| | - Tania Sorg
- Université de Strasbourg, CNRS, INSERM, IGBMC, Institut Clinique de la Souris, PHENOMIN-ICS, Illkirch, France
| | - Enrique Audain
- Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital of Schleswig-Holstein, Kiel, Germany
- German Center for Cardiovascular Research (DZHK), Kiel, Germany
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Nigel W Rayner
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Marc-Phillip Hitz
- Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital of Schleswig-Holstein, Kiel, Germany
- German Center for Cardiovascular Research (DZHK), Kiel, Germany
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- TUM School of Medicine, Technical University of Munich and Klinikum Rechts der Isar, Munich, Germany
| | - Eckhard Wolf
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Radislav Sedlacek
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | | | | | | | | | - Lois Kelsey
- The Centre for Phenogenomics, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Xiang Gao
- SKL of Pharmaceutical Biotechnology and Model Animal Research Center, Collaborative Innovation Center for Genetics and Development, Nanjing Biomedical Research Institute, Nanjing University, Nanjing, China
| | | | - Ying Xu
- Cambridge-Suda Genomic Research Center, Soochow University, Suzhou, China
| | - Je Kyung Seong
- Korea Mouse Phenotyping Consortium (KMPC) and BK21 Program for Veterinary Science, Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, South Korea
| | - Fabio Mammano
- CNR Institute of Biochemistry and Cell Biology, Monterotondo, Rome, Italy
| | | | - Arthur L Beaudet
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, USA
| | - Terrence F Meehan
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Helen Parkinson
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Damian Smedley
- William Harvey Research Institute, Charterhouse Square Barts and the London School of Medicine and Dentistry Queen Mary University of London, London, UK
| | - Ann-Marie Mallon
- Mammalian Genetics Unit and Mary Lyon Centre, Medical Research Council Harwell Institute, Harwell, UK
| | - Sara E Wells
- Mammalian Genetics Unit and Mary Lyon Centre, Medical Research Council Harwell Institute, Harwell, UK
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum Munich, Munich, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum Munich, German Research Center for Environmental Health GmbH, Neuherberg, Germany
- Department of Developmental Genetics, TUM School of Life Sciences, Technische Universität Munich, Freising, Germany
- Deutsches Institut für Neurodegenerative Erkrankungen (DZNE) Site Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Adolf-Butenandt-Institut, Ludwig-Maximilians-Universität Munich, Munich, Germany
| | - Susan Marschall
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Steve D M Brown
- Mammalian Genetics Unit and Mary Lyon Centre, Medical Research Council Harwell Institute, Harwell, UK
| | - Ann M Flenniken
- The Centre for Phenogenomics, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Lauryl M J Nutter
- The Centre for Phenogenomics, Toronto, Ontario, Canada
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Colin McKerlie
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Yann Herault
- Université de Strasbourg, CNRS, INSERM, IGBMC, Institut Clinique de la Souris, PHENOMIN-ICS, Illkirch, France
- Université de Strasbourg, CNRS, INSERM, Institut de Génétique Biologie Moléculaire et Cellulaire, IGBMC, Illkirch, France
| | - K C Kent Lloyd
- Mouse Biology Program, University of California, Davis, Davis, CA, USA
- Department of Surgery, School of Medicine, University of California, Davis, Davis, CA, USA
| | - Mary E Dickinson
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, USA
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany
| | - Martin Hrabe de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany.
- German Center for Diabetes Research (DZD), Neuherberg, Germany.
- Department of Experimental Genetics, TUM School of Life Science, Technische Universität Munich, Freising, Germany.
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9
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Al-Barghouthi BM, Rosenow WT, Du KP, Heo J, Maynard R, Mesner L, Calabrese G, Nakasone A, Senwar B, Gerstenfeld L, Larner J, Ferguson V, Ackert-Bicknell C, Morgan E, Brautigan D, Farber CR. Transcriptome-wide association study and eQTL colocalization identify potentially causal genes responsible for human bone mineral density GWAS associations. eLife 2022; 11:77285. [PMID: 36416764 PMCID: PMC9683789 DOI: 10.7554/elife.77285] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 11/16/2022] [Indexed: 11/24/2022] Open
Abstract
Genome-wide association studies (GWASs) for bone mineral density (BMD) in humans have identified over 1100 associations to date. However, identifying causal genes implicated by such studies has been challenging. Recent advances in the development of transcriptome reference datasets and computational approaches such as transcriptome-wide association studies (TWASs) and expression quantitative trait loci (eQTL) colocalization have proven to be informative in identifying putatively causal genes underlying GWAS associations. Here, we used TWAS/eQTL colocalization in conjunction with transcriptomic data from the Genotype-Tissue Expression (GTEx) project to identify potentially causal genes for the largest BMD GWAS performed to date. Using this approach, we identified 512 genes as significant using both TWAS and eQTL colocalization. This set of genes was enriched for regulators of BMD and members of bone relevant biological processes. To investigate the significance of our findings, we selected PPP6R3, the gene with the strongest support from our analysis which was not previously implicated in the regulation of BMD, for further investigation. We observed that Ppp6r3 deletion in mice decreased BMD. In this work, we provide an updated resource of putatively causal BMD genes and demonstrate that PPP6R3 is a putatively causal BMD GWAS gene. These data increase our understanding of the genetics of BMD and provide further evidence for the utility of combined TWAS/colocalization approaches in untangling the genetics of complex traits.
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Affiliation(s)
- Basel Maher Al-Barghouthi
- Center for Public Health Genomics, School of Medicine, University of VirginiaCharlottesvilleUnited States,Department of Biochemistry and Molecular Genetics, School of Medicine, University of VirginiaCharlottesvilleUnited States
| | - Will T Rosenow
- Center for Public Health Genomics, School of Medicine, University of VirginiaCharlottesvilleUnited States
| | - Kang-Ping Du
- Department of Radiation Oncology, University of VirginiaCharlottesvilleUnited States
| | - Jinho Heo
- Department of Microbiology, Immunology, and Cancer Biology, School of Medicine, University of VirginiaCharlottesvilleUnited States
| | - Robert Maynard
- Department of Orthopedics, Anschutz Medical Campus, University of ColoradoAuroraUnited States
| | - Larry Mesner
- Center for Public Health Genomics, School of Medicine, University of VirginiaCharlottesvilleUnited States,Department of Public Health Sciences, School of Medicine, University of VirginiaCharlottesvilleUnited States
| | - Gina Calabrese
- Center for Public Health Genomics, School of Medicine, University of VirginiaCharlottesvilleUnited States
| | - Aaron Nakasone
- Department of Mechanical Engineering, Boston UniversityBostonUnited States
| | - Bhavya Senwar
- Department of Mechanical Engineering, University of Colorado BoulderBoulderUnited States
| | - Louis Gerstenfeld
- Department of Orthopaedic Surgery, Boston University Medical CenterBostonUnited States
| | - James Larner
- Department of Radiation Oncology, University of VirginiaCharlottesvilleUnited States
| | - Virginia Ferguson
- Department of Mechanical Engineering, University of Colorado BoulderBoulderUnited States
| | - Cheryl Ackert-Bicknell
- Department of Orthopedics, Anschutz Medical Campus, University of ColoradoAuroraUnited States
| | - Elise Morgan
- Department of Mechanical Engineering, Boston UniversityBostonUnited States
| | - David Brautigan
- Department of Microbiology, Immunology, and Cancer Biology, School of Medicine, University of VirginiaCharlottesvilleUnited States
| | - Charles R Farber
- Center for Public Health Genomics, School of Medicine, University of VirginiaCharlottesvilleUnited States,Department of Biochemistry and Molecular Genetics, School of Medicine, University of VirginiaCharlottesvilleUnited States,Department of Public Health Sciences, School of Medicine, University of VirginiaCharlottesvilleUnited States
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