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Wulff AB, Nordestgaard BG, Tybjærg-Hansen A. APOC3
Loss-of-Function Mutations, Remnant Cholesterol, Low-Density Lipoprotein Cholesterol, and Cardiovascular Risk. Arterioscler Thromb Vasc Biol 2018; 38:660-668. [DOI: 10.1161/atvbaha.117.310473] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Accepted: 01/02/2018] [Indexed: 11/16/2022]
Affiliation(s)
- Anders B. Wulff
- From the Department of Clinical Biochemistry, Rigshospitalet (A.B.W., A.T.-H.), Department of Clinical Biochemistry, Herlev and Gentofte Hospital (B.G.N.), and Copenhagen City Heart Study, Frederiksberg Hospital (B.G.N., A.T.-H.), Copenhagen University Hospital, University of Copenhagen, Denmark; Department of Clinical Biochemistry, Zealand University Hospital, Denmark (A.B.W.); and Copenhagen General Population Study, Herlev and Gentofte Hospital, Denmark (B.G.N., A.T.-H.)
| | - Børge G. Nordestgaard
- From the Department of Clinical Biochemistry, Rigshospitalet (A.B.W., A.T.-H.), Department of Clinical Biochemistry, Herlev and Gentofte Hospital (B.G.N.), and Copenhagen City Heart Study, Frederiksberg Hospital (B.G.N., A.T.-H.), Copenhagen University Hospital, University of Copenhagen, Denmark; Department of Clinical Biochemistry, Zealand University Hospital, Denmark (A.B.W.); and Copenhagen General Population Study, Herlev and Gentofte Hospital, Denmark (B.G.N., A.T.-H.)
| | - Anne Tybjærg-Hansen
- From the Department of Clinical Biochemistry, Rigshospitalet (A.B.W., A.T.-H.), Department of Clinical Biochemistry, Herlev and Gentofte Hospital (B.G.N.), and Copenhagen City Heart Study, Frederiksberg Hospital (B.G.N., A.T.-H.), Copenhagen University Hospital, University of Copenhagen, Denmark; Department of Clinical Biochemistry, Zealand University Hospital, Denmark (A.B.W.); and Copenhagen General Population Study, Herlev and Gentofte Hospital, Denmark (B.G.N., A.T.-H.)
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202
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Sookoian S, Pirola CJ. Nonalcoholic Fatty Liver Disease Progresses into Severe NASH when Physiological Mechanisms of Tissue Homeostasis Collapse. Ann Hepatol 2018; 17:182-186. [PMID: 29469051 DOI: 10.5604/01.3001.0010.8631] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Phenotypic modulation of NAFLD-severity by molecules derived from white (adipokines) and brown (batokines) adipose tissue may be important in inducing or protecting against the progression of the disease. Adipose tissue-derived factors can promote the progression of NAFLD towards severe histological stages (NASH-fibrosis and NASHcirrhosis). This effect can be modulated by the release of adipokines or batokines that directly trigger an inflammatory response in the liver tissue or indirectly modulate related phenotypes, such as insulin resistance. Metabolically dysfunctional adipose tissue, which is often infiltrated by macrophages and crown-like histological structures, may also show impaired production of anti-inflammatory cytokines, which may favor NAFLD progression into aggressive phenotypes by preventing its protective effects on the liver tissue.
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Affiliation(s)
- Silvia Sookoian
- University of Buenos Aires Institute of Medical Research A Lanari, Buenos Aires, Argentina
| | - Carlos J Pirola
- University of Buenos Aires Institute of Medical Research A Lanari, Buenos Aires, Argentina
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203
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Corbin LJ, Tan VY, Hughes DA, Wade KH, Paul DS, Tansey KE, Butcher F, Dudbridge F, Howson JM, Jallow MW, John C, Kingston N, Lindgren CM, O'Donavan M, O'Rahilly S, Owen MJ, Palmer CNA, Pearson ER, Scott RA, van Heel DA, Whittaker J, Frayling T, Tobin MD, Wain LV, Smith GD, Evans DM, Karpe F, McCarthy MI, Danesh J, Franks PW, Timpson NJ. Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference. Nat Commun 2018; 9:711. [PMID: 29459775 PMCID: PMC5818506 DOI: 10.1038/s41467-018-03109-y] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 01/19/2018] [Indexed: 02/02/2023] Open
Abstract
Detailed phenotyping is required to deepen our understanding of the biological mechanisms behind genetic associations. In addition, the impact of potentially modifiable risk factors on disease requires analytical frameworks that allow causal inference. Here, we discuss the characteristics of Recall-by-Genotype (RbG) as a study design aimed at addressing both these needs. We describe two broad scenarios for the application of RbG: studies using single variants and those using multiple variants. We consider the efficacy and practicality of the RbG approach, provide a catalogue of UK-based resources for such studies and present an online RbG study planner.
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Affiliation(s)
- Laura J Corbin
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Vanessa Y Tan
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - David A Hughes
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Kaitlin H Wade
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Dirk S Paul
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
- British Heart Foundation (BHF) Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Katherine E Tansey
- Core Bioinformatics and Statistics Team, College of Biomedical & Life Sciences, Cardiff University, Cardiff, CF10 3XQ, UK
| | - Frances Butcher
- Oxford School of Public Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
| | - Joanna M Howson
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Momodou W Jallow
- Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
- MRC Unit The Gambia (MRCG), Atlantic Boulevard, Fajara, P.O. Box 273, Banjul, Gambia
| | - Catherine John
- Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
| | - Nathalie Kingston
- National Institute for Health Research (NIHR) BioResource for Translational Research in Common and Rare Diseases & NIHR BioResource Centre Cambridge, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Cecilia M Lindgren
- Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7FZ, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA
- NIHR Oxford Biomedical Research Centre, OUH Hospital, Oxford, OX4 2PG, UK
| | - Michael O'Donavan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Stephen O'Rahilly
- Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Colin N A Palmer
- Medical Research Institute, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK
| | - Ewan R Pearson
- Medical Research Institute, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK
| | - Robert A Scott
- Quantitative Sciences, GlaxoSmithKline, Stevenage, SG1 2NY, UK
| | - David A van Heel
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, UK
| | - John Whittaker
- Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
- Statistical Genetics, Projects, Clinical Platforms, and Sciences (PCPS), GlaxoSmithKline, Research Triangle Park, NC, 27709, USA
| | - Tim Frayling
- Genetics of Complex Traits, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Royal Devon and Exeter Hospital, Exeter, EX1 2LU, UK
| | - Martin D Tobin
- Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Louise V Wain
- Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - David M Evans
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, QLD, 4072, Australia
| | - Fredrik Karpe
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 7LE, UK
- NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, OX3 7LE, UK
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 7LE, UK
- NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, OX3 7LE, UK
| | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
- British Heart Foundation (BHF) Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1HH, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0SR, UK
| | - Paul W Franks
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 7LE, UK
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Clinical Research Centre, Lund University, Skåne University Hospital, Malmö, SE-205 02, Sweden
- Department of Public Health and Clinical Medicine, Section for Medicine, Umeå University, Umeå, 907 37, Sweden
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, BS8 2BN, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK.
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204
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Shakeel M, Irfan M, Khan IA. Estimating the mutational load for cardiovascular diseases in Pakistani population. PLoS One 2018; 13:e0192446. [PMID: 29420653 PMCID: PMC5805289 DOI: 10.1371/journal.pone.0192446] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 01/23/2018] [Indexed: 02/05/2023] Open
Abstract
The deleterious genetic variants contributing to certain diseases may differ in terms of number and allele frequency from population to population depending on their evolutionary background. Here, we prioritize the deleterious variants from Pakistani population in manually curated gene list already reported to be associated with common, Mendelian, and congenital cardiovascular diseases (CVDs) using the genome/exome sequencing data of Pakistani individuals publically available in 1000 Genomes Project (PJL), and Exome Aggregation Consortium (ExAC) South Asia. By applying a set of tools such as Combined Annotation Dependent Depletion (CADD), ANNOVAR, and Variant Effect Predictor (VEP), we highlighted 561 potentially detrimental variants from PJL data, and 7374 variants from ExAC South Asian data. Likewise, filtration from ClinVar for CVDs revealed 03 pathogenic and 02 likely pathogenic variants from PJL and 112 pathogenic and 42 likely pathogenic variants from ExAC South Asians. The comparison of derived allele frequencies (DAF) revealed many of these prioritized variants having two fold and higher DAF in Pakistani individuals than in other populations. The highest number of deleterious variants contributing to common CVDs in descending order includes hypertension, atherosclerosis, heart failure, aneurysm, and coronary heart disease, and for Mendelian and congenital CVDs cardiomyopathies, cardiac arrhythmias, and atrioventricular septal defects.
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Affiliation(s)
- Muhammad Shakeel
- Jamil-ur-Rahman Center for Genome Research, Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Muhammad Irfan
- Jamil-ur-Rahman Center for Genome Research, Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Ishtiaq Ahmad Khan
- Jamil-ur-Rahman Center for Genome Research, Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
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205
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Ceballos FC, Joshi PK, Clark DW, Ramsay M, Wilson JF. Runs of homozygosity: windows into population history and trait architecture. Nat Rev Genet 2018; 19:220-234. [PMID: 29335644 DOI: 10.1038/nrg.2017.109] [Citation(s) in RCA: 361] [Impact Index Per Article: 60.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Long runs of homozygosity (ROH) arise when identical haplotypes are inherited from each parent and thus a long tract of genotypes is homozygous. Cousin marriage or inbreeding gives rise to such autozygosity; however, genome-wide data reveal that ROH are universally common in human genomes even among outbred individuals. The number and length of ROH reflect individual demographic history, while the homozygosity burden can be used to investigate the genetic architecture of complex disease. We discuss how to identify ROH in genome-wide microarray and sequence data, their distribution in human populations and their application to the understanding of inbreeding depression and disease risk.
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Affiliation(s)
- Francisco C Ceballos
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Parktown 2193, Johannesburg, South Africa.,Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK
| | - David W Clark
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK
| | - Michèle Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Parktown 2193, Johannesburg, South Africa.,Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Braamfontein 2000, Johannesburg, South Africa
| | - James F Wilson
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK.,Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK
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206
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Hightower RM, Alexander MS. Genetic modifiers of Duchenne and facioscapulohumeral muscular dystrophies. Muscle Nerve 2018; 57:6-15. [PMID: 28877560 PMCID: PMC5759757 DOI: 10.1002/mus.25953] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/03/2017] [Indexed: 01/05/2023]
Abstract
Muscular dystrophy is defined as the progressive wasting of skeletal muscles that is caused by inherited or spontaneous genetic mutations. Next-generation sequencing has greatly improved the accuracy and speed of diagnosis for different types of muscular dystrophy. Advancements in depth of coverage, convenience, and overall reduced cost have led to the identification of genetic modifiers that are responsible for phenotypic variability in affected patients. These genetic modifiers have been postulated to explain key differences in disease phenotypes, including age of loss of ambulation, steroid responsiveness, and the presence or absence of cardiac defects in patients with the same form of muscular dystrophy. This review highlights recent findings on genetic modifiers of Duchenne and facioscapulohumeral muscular dystrophies based on animal and clinical studies. These genetic modifiers hold great promise to be developed into novel therapeutic targets for the treatment of muscular dystrophies. Muscle Nerve 57: 6-15, 2018.
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Affiliation(s)
- Rylie M. Hightower
- University of Alabama at Birmingham Graduate School of Biomedical Sciences, Birmingham, AL 35294
| | - Matthew S. Alexander
- Department of Pediatrics, Division of Neurology at Children’s of Alabama and the University of Alabama at Birmingham, Birmingham, AL, 35294
- Department of Genetics, the University of Alabama at Birmingham, Birmingham, AL, 35294
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207
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208
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Modernizing Human Cancer Risk Assessment of Therapeutics. Trends Pharmacol Sci 2017; 39:232-247. [PMID: 29242029 DOI: 10.1016/j.tips.2017.11.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Revised: 11/17/2017] [Accepted: 11/17/2017] [Indexed: 12/14/2022]
Abstract
Cancer risk assessment of therapeutics is plagued by poor translatability of rodent models of carcinogenesis. In order to overcome this fundamental limitation, new approaches are needed that enable us to evaluate cancer risk directly in humans and human-based cellular models. Our enhanced understanding of the mechanisms of carcinogenesis and the influence of human genome sequence variation on cancer risk motivates us to re-evaluate how we assess the carcinogenic risk of therapeutics. This review will highlight new opportunities for applying this knowledge to the development of a battery of human-based in vitro models and biomarkers for assessing cancer risk of novel therapeutics.
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209
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Musunuru K. Genome Editing: The Recent History and Perspective in Cardiovascular Diseases. J Am Coll Cardiol 2017; 70:2808-2821. [PMID: 29191331 DOI: 10.1016/j.jacc.2017.10.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2017] [Revised: 10/02/2017] [Accepted: 10/03/2017] [Indexed: 02/07/2023]
Abstract
The genome-editing field has advanced to a remarkable degree in the last 5 years, culminating in the successful correction of a cardiomyopathy gene mutation in viable human embryos. In this review, the author discusses the basic principles of genome editing, recent advances in clustered regularly interspaced short palindromic repeats and clustered regularly interspaced short palindromic repeats-associated 9 technology, the impact on cardiovascular basic science research, possible therapeutic applications in patients with cardiovascular diseases, and finally the implications of potential clinical uses of human germline genome editing.
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Affiliation(s)
- Kiran Musunuru
- Cardiovascular Institute, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; and the Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
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210
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Lipidomic profiling of plasma in a healthy Singaporean population to identify ethnic specific differences in lipid levels and associations with disease risk factors. CLINICAL MASS SPECTROMETRY 2017. [DOI: 10.1016/j.clinms.2017.11.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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211
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Rafiullah R, Long AB, Ivanova AA, Ali H, Berkel S, Mustafa G, Paramasivam N, Schlesner M, Wiemann S, Wade RC, Bolthauser E, Blum M, Kahn RA, Caspary T, Rappold GA. A novel homozygous ARL13B variant in patients with Joubert syndrome impairs its guanine nucleotide-exchange factor activity. Eur J Hum Genet 2017; 25:1324-1334. [PMID: 29255182 PMCID: PMC5865152 DOI: 10.1038/s41431-017-0031-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 10/02/2017] [Accepted: 10/10/2017] [Indexed: 11/09/2022] Open
Abstract
ARL13B encodes for the ADP-ribosylation factor-like 13B GTPase, which is required for normal cilia structure and Sonic hedgehog (Shh) signaling. Disruptions in cilia structure or function lead to a class of human disorders called ciliopathies. Joubert syndrome is characterized by a wide spectrum of symptoms, including a variable degree of intellectual disability, ataxia, and ocular abnormalities. Here we report a novel homozygous missense variant c.[223G>A] (p.(Gly75Arg) in the ARL13B gene, which was identified by whole-exome sequencing of a trio from a consanguineous family with multiple-affected individuals suffering from intellectual disability, ataxia, ocular defects, and epilepsy. The same variant was also identified in a second family. We saw a striking difference in the severity of ataxia between affected male and female individuals in both families. Both ARL13B and ARL13B-c.[223G>A] (p.(Gly75Arg) expression rescued the cilia length and Shh defects displayed by Arl13b hennin (null) cells, indicating that the variant did not disrupt either ARL13B function. In contrast, ARL13B-c.[223G>A] (p.(Gly75Arg) displayed a marked loss of ARL3 guanine nucleotide-exchange factor activity, with retention of its GTPase activities, highlighting the correlation between its loss of function as an ARL3 guanine nucleotide-exchange factor and Joubert syndrome.
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Affiliation(s)
- Rafiullah Rafiullah
- Department of Human Molecular Genetics, Heidelberg University, 69120, Heidelberg, Germany
| | - Alyssa B Long
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Anna A Ivanova
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Hazrat Ali
- Department of Psychiatry, Bolan Medical College, 87600, Quetta, Pakistan
| | - Simone Berkel
- Department of Human Molecular Genetics, Heidelberg University, 69120, Heidelberg, Germany
| | - Ghulam Mustafa
- Molecular and Cellular Modeling (MCM) Group, Heidelberg Institute for Theoretical Studies (HITS), 69118, Heidelberg, Germany
- Center for Molecular Biology, DKFZ-ZMBH Alliance, Heidelberg University, 69120, Heidelberg, Germany
| | - Nagarajan Paramasivam
- Computational Oncology Group, Theoretical Bioinformatics Division (B080), German Cancer Research Centre (DKFZ), 69120, Heidelberg, Germany
- Medical Faculty Heidelberg, Heidelberg University, 69120, Heidelberg, Germany
| | - Matthias Schlesner
- Computational Oncology Group, Theoretical Bioinformatics Division (B080), German Cancer Research Centre (DKFZ), 69120, Heidelberg, Germany
| | - Stefan Wiemann
- Genomic and Proteomics Core Facility, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Rebecca C Wade
- Molecular and Cellular Modeling (MCM) Group, Heidelberg Institute for Theoretical Studies (HITS), 69118, Heidelberg, Germany
- Center for Molecular Biology, DKFZ-ZMBH Alliance, Heidelberg University, 69120, Heidelberg, Germany
| | - Eugen Bolthauser
- Division of Pediatric Neurology, University Children's Hospital, 8032, Zurich, Switzerland
| | - Martin Blum
- Institute of Zoology, University of Hohenheim, 70593, Stuttgart, Germany
| | - Richard A Kahn
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Tamara Caspary
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Gudrun A Rappold
- Department of Human Molecular Genetics, Heidelberg University, 69120, Heidelberg, Germany.
- Interdisciplinary Centre for Neurosciences (IZN), University of Heidelberg, 69120, Heidelberg, Germany.
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212
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213
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Eilbeck K, Quinlan A, Yandell M. Settling the score: variant prioritization and Mendelian disease. Nat Rev Genet 2017; 18:599-612. [PMID: 28804138 PMCID: PMC5935497 DOI: 10.1038/nrg.2017.52] [Citation(s) in RCA: 150] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
When investigating Mendelian disease using exome or genome sequencing, distinguishing disease-causing genetic variants from the multitude of candidate variants is a complex, multidimensional task. Many prioritization tools and online interpretation resources exist, and professional organizations have offered clinical guidelines for review and return of prioritization results. In this Review, we describe the strengths and weaknesses of widely used computational approaches, explain their roles in the diagnostic and discovery process and discuss how they can inform (and misinform) expert reviewers. We place variant prioritization in the wider context of gene prioritization, burden testing and genotype-phenotype association, and we discuss opportunities and challenges introduced by whole-genome sequencing.
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Affiliation(s)
- Karen Eilbeck
- Department of Biomedical Informatics, School of Medicine, University of Utah, 421 Wakara Way, Suite 120, Salt Lake City, Utah 84108, USA
| | - Aaron Quinlan
- Department of Biomedical Informatics, School of Medicine, University of Utah, 421 Wakara Way, Suite 120, Salt Lake City, Utah 84108, USA
- Department of Human Genetics, Eccles Institute of Human Genetics, School of Medicine, University of Utah, 15 S 2030 E, Salt Lake City, Utah 84112, USA
| | - Mark Yandell
- Department of Human Genetics, Eccles Institute of Human Genetics, School of Medicine, University of Utah, 15 S 2030 E, Salt Lake City, Utah 84112, USA
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214
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Youssefian L, Vahidnezhad H, Saeidian AH, Sotoudeh S, Mahmoudi H, Daneshpazhooh M, Aghazadeh N, Adams R, Ghanadan A, Zeinali S, Fortina P, Uitto J. Autosomal recessive congenital ichthyosis: CERS3 mutations identified by a next generation sequencing panel targeting ichthyosis genes. Eur J Hum Genet 2017; 25:1282-1285. [PMID: 28875980 DOI: 10.1038/ejhg.2017.137] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 07/24/2017] [Accepted: 08/01/2017] [Indexed: 01/06/2023] Open
Abstract
There are at least 38 mutant genes known to be associated with the ichthyosis phenotypes, and autosomal recessive congenital ichthyosis (ARCI) is a specific subgroup caused by mutations in 13 different genes. Mutations in some of these genes, such as CERS3 with only two previous reports, are rare. In this study, we identified mutations in candidate genes in consanguineous families with ARCI with a next generation sequencing (NGS) array that incorporates 38 ichthyosis associated genes. We applied this sequencing array to DNA from 140 ichthyosis families with high prevalence of consanguinity. Among these patients we identified six distinct, previously unreported mutations in CERS3 in six Iranian families. These mutations in each family co-segregated with the ichthyosis phenotype. The patients demonstrated collodion membrane at birth, acrogeria, generalized scaling, and hyperlinearity of the palms and soles. The presence of a significant percentage of CERS3 mutations in our cohort depicts a marked difference between the etiology of ichthyoses in genetically poorly characterized regions and well-characterized western populations. Also, it shows that rare alleles are more prevalent in the gene pool of consanguineous populations and emphasizes the importance of these population studies for better understanding of ichthyosis pathogenesis.
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Affiliation(s)
- Leila Youssefian
- Department of Dermatology and Cutaneous Biology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.,Department of Medical Genetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Hassan Vahidnezhad
- Department of Dermatology and Cutaneous Biology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.,Department of Molecular Medicine, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran
| | - Amir Hossein Saeidian
- Department of Dermatology and Cutaneous Biology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Soheila Sotoudeh
- Department of Dermatology, Children's Medical Center, Center of Excellence, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamidreza Mahmoudi
- Department of Dermatology and Dermatopathology, Razi Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Daneshpazhooh
- Department of Dermatology and Dermatopathology, Razi Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Nessa Aghazadeh
- Department of Dermatology and Dermatopathology, Razi Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Rebecca Adams
- Sidney Kimmel Cancer Center, Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Alireza Ghanadan
- Department of Dermatology and Dermatopathology, Razi Hospital, Tehran University of Medical Sciences, Tehran, Iran.,Department of Pathology, Cancer Institute, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.,Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Sirous Zeinali
- Department of Molecular Medicine, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.,Kawsar Human Genetics Research Center, Tehran, Iran
| | - Paolo Fortina
- Sidney Kimmel Cancer Center, Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, USA.,Department of Molecular Medicine, Sapienza University, Rome, Italy
| | - Jouni Uitto
- Department of Dermatology and Cutaneous Biology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.,Jefferson Institute of Molecular Medicine, Thomas Jefferson University, Philadelphia, PA, USA
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215
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Fujino N, Yoshimuta T, Ichida F, Kinugawa K, Usuda K, Kitayama M, Ino H, Kawashiri MA, Tada H, Mizuno S, Hayashi K, Takemura H, Yamagishi M. Overview of the 81 st Annual Scientific Meeting of the Japanese Circulation Society - Cardiovascular Medicine for the Next Generation. Circ J 2017; 81:1261-1267. [PMID: 28794386 DOI: 10.1253/circj.cj-17-0706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The 81stAnnual Scientific Meeting of the Japanese Circulation Society was held in Kanazawa, Japan, on March 17-19, 2017 under a miraculously clear sky. The frontlines of healthcare and medicine are dramatically changing. Thus, "Cardiovascular Medicine for Next Generation" was chosen as the main theme of this meeting. The program was constructed around major identified issues, including renewal of our understanding of basic cardiovascular medicine, translational research, and preventive molecular medicine, all of which are anticipated to transcend the medical field over the next generation. Despite the provincial location, 15,672 participants, including more than 400 from overseas countries, attended the 3-day meeting, and there were in-depth discussions in the various sessions. In particular, to our great pleasure, Her Imperial Highness Princess Takamado kindly attended the opening ceremony and extended congratulations to us. The meeting successfully completed and we sincerely appreciate the great cooperation and support from all affiliates.
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Affiliation(s)
- Noboru Fujino
- Department of Cardiovascular and Internal Medicine, Kanazawa University Graduate School of Medicine
| | - Tsuyoshi Yoshimuta
- Department of Cardiovascular and Internal Medicine, Kanazawa University Graduate School of Medicine
| | - Fukiko Ichida
- Department of Pediatrics, Faculty of Medicine, University of Toyama
| | - Koichiro Kinugawa
- Internal Medicine II, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama
| | - Kazuo Usuda
- Division of Cardiology, Toyama Prefectural Central Hospital
| | | | - Hidekazu Ino
- Department of Internal Medicine, Komatsu Municipal Hospital
| | - Masa-Aki Kawashiri
- Department of Cardiovascular and Internal Medicine, Kanazawa University Graduate School of Medicine
| | - Hiroshi Tada
- Department of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui
| | - Sumio Mizuno
- Department of Cardiology, Fukui Cardiovascular Center
| | - Kenshi Hayashi
- Department of Cardiovascular and Internal Medicine, Kanazawa University Graduate School of Medicine
| | - Hirofumi Takemura
- Department of Thoracic, Cardiovascular and General Surgery, Kanazawa University
| | - Masakazu Yamagishi
- Department of Cardiovascular and Internal Medicine, Kanazawa University Graduate School of Medicine
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216
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Chadwick AC, Musunuru K. CRISPR-Cas9 Genome Editing for Treatment of Atherogenic Dyslipidemia. Arterioscler Thromb Vasc Biol 2017; 38:12-18. [PMID: 28838920 DOI: 10.1161/atvbaha.117.309326] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Accepted: 08/14/2017] [Indexed: 12/26/2022]
Abstract
Although human genetics has resulted in the identification of novel lipid-related genes that can be targeted for the prevention of atherosclerotic vascular disease, medications targeting these genes or their protein products have short-term effects and require frequent administration during the course of the lifetime for maximal benefit. Genome-editing technologies, such as CRISPR-Cas9 (clustered regularly interspaced short palindromic repeats-CRISPR-associated 9) have the potential to permanently alter genes in the body and produce long-term and even lifelong protection against atherosclerosis. In this review, we discuss recent advances in genome-editing technologies and early proof-of-concept studies of somatic in vivo genome editing in mice that highlight the potential of genome editing to target disease-related genes in patients, which would establish a novel therapeutic paradigm for atherosclerosis.
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Affiliation(s)
- Alexandra C Chadwick
- From the Department of Medicine and Department of Genetics, Cardiovascular Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Kiran Musunuru
- From the Department of Medicine and Department of Genetics, Cardiovascular Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
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217
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Riordan JD, Nadeau JH. From Peas to Disease: Modifier Genes, Network Resilience, and the Genetics of Health. Am J Hum Genet 2017; 101:177-191. [PMID: 28777930 PMCID: PMC5544383 DOI: 10.1016/j.ajhg.2017.06.004] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Phenotypes are rarely consistent across genetic backgrounds and environments, but instead vary in many ways depending on allelic variants, unlinked genes, epigenetic factors, and environmental exposures. In the extreme, individuals carrying the same causal DNA sequence variant but on different backgrounds can be classified as having distinct conditions. Similarly, some individuals that carry disease alleles are nevertheless healthy despite affected family members in the same environment. These genetic background effects often result from the action of so-called "modifier genes" that modulate the phenotypic manifestation of target genes in an epistatic manner. While complicating the prospects for gene discovery and the feasibility of mechanistic studies, such effects are opportunities to gain a deeper understanding of gene interaction networks that provide organismal form and function as well as resilience to perturbation. Here, we review the principles of modifier genetics and assess progress in studies of modifier genes and their targets in both simple and complex traits. We propose that modifier effects emerge from gene interaction networks whose structure and function vary with genetic background and argue that these effects can be exploited as safe and effective ways to prevent, stabilize, and reverse disease and dysfunction.
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Affiliation(s)
- Jesse D Riordan
- Pacific Northwest Research Institute, Seattle, WA 98122, USA.
| | - Joseph H Nadeau
- Pacific Northwest Research Institute, Seattle, WA 98122, USA.
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218
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Chadwick AC, Wang X, Musunuru K. In Vivo Base Editing of PCSK9 (Proprotein Convertase Subtilisin/Kexin Type 9) as a Therapeutic Alternative to Genome Editing. Arterioscler Thromb Vasc Biol 2017. [PMID: 28751571 DOI: 10.1161/atvbaha.117.309881.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE High-efficiency genome editing to disrupt therapeutic target genes, such as PCSK9 (proprotein convertase subtilisin/kexin type 9), has been demonstrated in preclinical animal models, but there are safety concerns because of the unpredictable nature of cellular repair of double-strand breaks, as well as off-target mutagenesis. Moreover, precise knock-in of specific nucleotide changes-whether to introduce or to correct gene mutations-has proven to be inefficient in nonproliferating cells in vivo. Base editors comprising CRISPR-Cas9 (clustered regularly interspaced short palindromic repeats [CRISPR]-CRISPR-associated 9) fused to a cytosine deaminase domain can effect the alteration of cytosine bases to thymine bases in genomic DNA in a sequence-specific fashion, without the need for double-strand DNA breaks. The efficacy of base editing has not been established in vivo. The goal of this study was to assess whether in vivo base editing could be used to modify the mouse Pcsk9 gene in a sequence-specific fashion in the liver in adult mice. APPROACH AND RESULTS We screened base editors for activity in cultured cells, including human-induced pluripotent stem cells. We then delivered a base editor into the livers of adult mice to assess whether it could introduce site-specific nonsense mutations into the Pcsk9 gene. In adult mice, this resulted in substantially reduced plasma PCSK9 protein levels (>50%), as well as reduced plasma cholesterol levels (≈30%). There was no evidence of off-target mutagenesis, either cytosine-to-thymine edits or indels. CONCLUSIONS These results demonstrate the ability to precisely introduce therapeutically relevant nucleotide variants into the genome in somatic tissues in adult mammals, as well as highlighting a potentially safer alternative to therapeutic genome editing.
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Affiliation(s)
- Alexandra C Chadwick
- From the Cardiovascular Institute, Department of Medicine, and Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Xiao Wang
- From the Cardiovascular Institute, Department of Medicine, and Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Kiran Musunuru
- From the Cardiovascular Institute, Department of Medicine, and Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
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219
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Chadwick AC, Wang X, Musunuru K. In Vivo Base Editing of PCSK9 (Proprotein Convertase Subtilisin/Kexin Type 9) as a Therapeutic Alternative to Genome Editing. Arterioscler Thromb Vasc Biol 2017; 37:1741-1747. [PMID: 28751571 DOI: 10.1161/atvbaha.117.309881] [Citation(s) in RCA: 166] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2017] [Accepted: 07/13/2017] [Indexed: 01/23/2023]
Abstract
OBJECTIVE High-efficiency genome editing to disrupt therapeutic target genes, such as PCSK9 (proprotein convertase subtilisin/kexin type 9), has been demonstrated in preclinical animal models, but there are safety concerns because of the unpredictable nature of cellular repair of double-strand breaks, as well as off-target mutagenesis. Moreover, precise knock-in of specific nucleotide changes-whether to introduce or to correct gene mutations-has proven to be inefficient in nonproliferating cells in vivo. Base editors comprising CRISPR-Cas9 (clustered regularly interspaced short palindromic repeats [CRISPR]-CRISPR-associated 9) fused to a cytosine deaminase domain can effect the alteration of cytosine bases to thymine bases in genomic DNA in a sequence-specific fashion, without the need for double-strand DNA breaks. The efficacy of base editing has not been established in vivo. The goal of this study was to assess whether in vivo base editing could be used to modify the mouse Pcsk9 gene in a sequence-specific fashion in the liver in adult mice. APPROACH AND RESULTS We screened base editors for activity in cultured cells, including human-induced pluripotent stem cells. We then delivered a base editor into the livers of adult mice to assess whether it could introduce site-specific nonsense mutations into the Pcsk9 gene. In adult mice, this resulted in substantially reduced plasma PCSK9 protein levels (>50%), as well as reduced plasma cholesterol levels (≈30%). There was no evidence of off-target mutagenesis, either cytosine-to-thymine edits or indels. CONCLUSIONS These results demonstrate the ability to precisely introduce therapeutically relevant nucleotide variants into the genome in somatic tissues in adult mammals, as well as highlighting a potentially safer alternative to therapeutic genome editing.
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Affiliation(s)
- Alexandra C Chadwick
- From the Cardiovascular Institute, Department of Medicine, and Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Xiao Wang
- From the Cardiovascular Institute, Department of Medicine, and Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Kiran Musunuru
- From the Cardiovascular Institute, Department of Medicine, and Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
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220
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Larsson M, Allan CM, Jung RS, Heizer PJ, Beigneux AP, Young SG, Fong LG. Apolipoprotein C-III inhibits triglyceride hydrolysis by GPIHBP1-bound LPL. J Lipid Res 2017; 58:1893-1902. [PMID: 28694296 DOI: 10.1194/jlr.m078220] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 07/05/2017] [Indexed: 12/13/2022] Open
Abstract
apoC-III is often assumed to retard the intravascular processing of triglyceride-rich lipoproteins (TRLs) by inhibiting LPL, but that view is based largely on studies of free LPL. We now recognize that intravascular LPL is neither free nor loosely bound, but instead is tightly bound to glycosylphosphatidylinositol-anchored HDL-binding protein 1 (GPIHBP1) on endothelial cells. Here, we revisited the effects of apoC-III on LPL, focusing on apoC-III's capacity to affect the activity of GPIHBP1-bound LPL. We found that TRLs from APOC3 transgenic mice bound normally to GPIHBP1-bound LPL on cultured cells in vitro and to heart capillaries in vivo. However, the triglycerides in apoC-III-enriched TRLs were hydrolyzed more slowly by free LPL, and the inhibitory effect of apoC-III on triglyceride lipolysis was exaggerated when LPL was bound to GPIHBP1 on the surface of agarose beads. Also, recombinant apoC-III reduced triglyceride hydrolysis by free LPL only modestly, but the inhibitory effect was greater when the LPL was bound to GPIHBP1. A mutant apoC-III associated with low plasma triglyceride levels (p.A23T) displayed a reduced capacity to inhibit free and GPIHBP1-bound LPL. Our results show that apoC-III potently inhibits triglyceride hydrolysis when LPL is bound to GPIHBP1.
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Affiliation(s)
- Mikael Larsson
- Departments of Medicine and Human Genetics, University of California Los Angeles, Los Angeles, CA 90095
| | - Christopher M Allan
- Departments of Medicine and Human Genetics, University of California Los Angeles, Los Angeles, CA 90095
| | - Rachel S Jung
- Departments of Medicine and Human Genetics, University of California Los Angeles, Los Angeles, CA 90095
| | - Patrick J Heizer
- Departments of Medicine and Human Genetics, University of California Los Angeles, Los Angeles, CA 90095
| | - Anne P Beigneux
- Departments of Medicine and Human Genetics, University of California Los Angeles, Los Angeles, CA 90095
| | - Stephen G Young
- Departments of Medicine and Human Genetics, University of California Los Angeles, Los Angeles, CA 90095 .,David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095
| | - Loren G Fong
- Departments of Medicine and Human Genetics, University of California Los Angeles, Los Angeles, CA 90095
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221
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Ezran C, Karanewsky CJ, Pendleton JL, Sholtz A, Krasnow MR, Willick J, Razafindrakoto A, Zohdy S, Albertelli MA, Krasnow MA. The Mouse Lemur, a Genetic Model Organism for Primate Biology, Behavior, and Health. Genetics 2017; 206:651-664. [PMID: 28592502 PMCID: PMC5499178 DOI: 10.1534/genetics.116.199448] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2016] [Accepted: 04/08/2017] [Indexed: 01/24/2023] Open
Abstract
Systematic genetic studies of a handful of diverse organisms over the past 50 years have transformed our understanding of biology. However, many aspects of primate biology, behavior, and disease are absent or poorly modeled in any of the current genetic model organisms including mice. We surveyed the animal kingdom to find other animals with advantages similar to mice that might better exemplify primate biology, and identified mouse lemurs (Microcebus spp.) as the outstanding candidate. Mouse lemurs are prosimian primates, roughly half the genetic distance between mice and humans. They are the smallest, fastest developing, and among the most prolific and abundant primates in the world, distributed throughout the island of Madagascar, many in separate breeding populations due to habitat destruction. Their physiology, behavior, and phylogeny have been studied for decades in laboratory colonies in Europe and in field studies in Malagasy rainforests, and a high quality reference genome sequence has recently been completed. To initiate a classical genetic approach, we developed a deep phenotyping protocol and have screened hundreds of laboratory and wild mouse lemurs for interesting phenotypes and begun mapping the underlying mutations, in collaboration with leading mouse lemur biologists. We also seek to establish a mouse lemur gene "knockout" library by sequencing the genomes of thousands of mouse lemurs to identify null alleles in most genes from the large pool of natural genetic variants. As part of this effort, we have begun a citizen science project in which students across Madagascar explore the remarkable biology around their schools, including longitudinal studies of the local mouse lemurs. We hope this work spawns a new model organism and cultivates a deep genetic understanding of primate biology and health. We also hope it establishes a new and ethical method of genetics that bridges biological, behavioral, medical, and conservation disciplines, while providing an example of how hands-on science education can help transform developing countries.
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Affiliation(s)
- Camille Ezran
- Department of Biochemistry
- Howard Hughes Medical Institute, and
| | | | | | - Alex Sholtz
- Department of Biochemistry
- Howard Hughes Medical Institute, and
| | - Maya R Krasnow
- Department of Biochemistry
- Howard Hughes Medical Institute, and
| | - Jason Willick
- Department of Biochemistry
- Howard Hughes Medical Institute, and
| | - Andriamahery Razafindrakoto
- Department of Animal Biology, Faculty of Science, University of Antananarivo, Antananarivo 101, BP 566, Madagascar, and
| | - Sarah Zohdy
- School of Forestry and Wildlife Sciences and College of Veterinary Medicine, Auburn University, Alabama 36849
| | - Megan A Albertelli
- Department of Comparative Medicine, Stanford University School of Medicine, California 94305
| | - Mark A Krasnow
- Department of Biochemistry
- Howard Hughes Medical Institute, and
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222
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Cassa CA, Akle S, Jordan DM, Rosenfeld JA. When " N of 2" is not enough: integrating statistical and functional data in gene discovery. Cold Spring Harb Mol Case Stud 2017; 3:a001099. [PMID: 28487880 PMCID: PMC5411689 DOI: 10.1101/mcs.a001099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The expanding use of genomic sequencing promises to improve clinical diagnostics and to drive the discovery of new disease genes. Candidate genes are increasingly being identified through recurrent cases (e.g., two or more independent cases [“N of 2”] in which variants are present in the same gene). These second case hits provide statistical evidence of an association, which may then be combined with functional validation or familial segregation studies to bolster the evidence that a gene is truly causal. Here, we discuss how to integrate different forms of functional evidence with human genetics case and segregation data to improve the significance of new disease–gene associations.
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Affiliation(s)
- Christopher A Cassa
- Brigham and Women's Hospital, Division of Genetics, Boston, Massachusetts 02115, USA.,Harvard Medical School, Department of Medicine, Boston, Massachusetts 02115, USA
| | - Sebastian Akle
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Daniel M Jordan
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
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223
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224
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Abstract
Despite thousands of genetic loci identified to date, a large proportion of genetic variation predisposing to complex disease and traits remains unaccounted for. Advances in sequencing technology enable focused explorations on the contribution of low-frequency and rare variants to human traits. Here we review experimental approaches and current knowledge on the contribution of these genetic variants in complex disease and discuss challenges and opportunities for personalised medicine.
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Affiliation(s)
- Lorenzo Bomba
- Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, CB10 1HH, UK
| | - Klaudia Walter
- Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, CB10 1HH, UK
| | - Nicole Soranzo
- Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, CB10 1HH, UK. .,Department of Haematology, University of Cambridge, Hills Rd, Cambridge, CB2 0AH, UK. .,The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK.
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225
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Affiliation(s)
- Robert M Plenge
- Translational Medicine Department, Merck, Boston, Massachusetts 02115, USA
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226
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Estimating the selective effects of heterozygous protein-truncating variants from human exome data. Nat Genet 2017; 49:806-810. [PMID: 28369035 PMCID: PMC5618255 DOI: 10.1038/ng.3831] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Accepted: 03/07/2017] [Indexed: 12/14/2022]
Abstract
The dispensability of individual genes for viability has interested generations of geneticists. For some genes it is essential to maintain two functional chromosomal copies, while others may tolerate the loss of one or both copies. Exome sequence data from 60,706 individuals provide sufficient observations of rare protein truncating variants (PTVs) to make genome-wide estimates of selection against heterozygous loss of gene function. The cumulative frequency of rare deleterious PTVs is primarily determined by the balance between incoming mutations and purifying selection rather than genetic drift. This enables the estimation of the genome-wide distribution of selection coefficients for heterozygous PTVs and corresponding Bayesian estimates for individual genes. The strength of selection can discriminate the severity, age of onset, and mode of inheritance in Mendelian exome sequencing cases. We find that genes under the strongest selection are enriched in embryonic lethal mouse knockouts, putatively cell-essential genes, Mendelian disease genes, and regulators of transcription. Screening by essentiality, we find a large set of genes under strong selection that likely have critical function but have not yet been extensively annotated in published literature.
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227
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Abstract
Whole-genome and exome sequencing in human populations has revealed the tolerance of each gene for loss-of-function variation. By understanding this tolerance, it has become increasingly possible to identify genes that would make safe therapeutic targets and to identify rare genetic risk factors and phenotypes at the scale of individual genomes. To date, the vast majority of surveyed loss-of-function variants are in protein-coding regions of the genome mainly due to the focus on these regions by exome-based sequencing projects and their relative ease of interpretability. As whole-genome sequencing becomes more prevalent, new strategies will be required to uncover impactful variation in non-coding regions of the genome where the architecture of genome function is more complex. In this review, we investigate recent studies of loss-of-function variation and emerging approaches for interpreting whole-genome sequencing data to identify rare and impactful non-coding loss-of-function variants.
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Affiliation(s)
- Zachary Zappala
- Department of Genetics, Stanford University, California, USA
| | - Stephen B. Montgomery
- Department of Genetics, Stanford University, California, USA
- Department of Pathology, Stanford University, California, USA
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228
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Simons YB, Sella G. The impact of recent population history on the deleterious mutation load in humans and close evolutionary relatives. Curr Opin Genet Dev 2016; 41:150-158. [PMID: 27744216 DOI: 10.1016/j.gde.2016.09.006] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 09/13/2016] [Accepted: 09/18/2016] [Indexed: 01/22/2023]
Abstract
Over the past decade, there has been both great interest and confusion about whether recent demographic events-notably the Out-of-Africa-bottleneck and recent population growth-have led to differences in mutation load among human populations. The confusion can be traced to the use of different summary statistics to measure load, which lead to apparently conflicting results. We argue, however, that when statistics more directly related to load are used, the results of different studies and data sets consistently reveal little or no difference in the load of non-synonymous mutations among human populations. Theory helps to understand why no such differences are seen, as well as to predict in what settings they are to be expected. In particular, as predicted by modeling, there is evidence for changes in the load of recessive loss of function mutations in founder and inbred human populations. Also as predicted, eastern subspecies of gorilla, Neanderthals and Denisovans, who are thought to have undergone reductions in population sizes that exceed the human Out-of-Africa bottleneck in duration and severity, show evidence for increased load of non-synonymous mutations (relative to western subspecies of gorillas and modern humans, respectively). A coherent picture is thus starting to emerge about the effects of demographic history on the mutation load in populations of humans and close evolutionary relatives.
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Affiliation(s)
- Yuval B Simons
- Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | - Guy Sella
- Department of Biological Sciences, Columbia University, New York, NY 10027, USA.
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229
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Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, O'Donnell-Luria AH, Ware JS, Hill AJ, Cummings BB, Tukiainen T, Birnbaum DP, Kosmicki JA, Duncan LE, Estrada K, Zhao F, Zou J, Pierce-Hoffman E, Berghout J, Cooper DN, Deflaux N, DePristo M, Do R, Flannick J, Fromer M, Gauthier L, Goldstein J, Gupta N, Howrigan D, Kiezun A, Kurki MI, Moonshine AL, Natarajan P, Orozco L, Peloso GM, Poplin R, Rivas MA, Ruano-Rubio V, Rose SA, Ruderfer DM, Shakir K, Stenson PD, Stevens C, Thomas BP, Tiao G, Tusie-Luna MT, Weisburd B, Won HH, Yu D, Altshuler DM, Ardissino D, Boehnke M, Danesh J, Donnelly S, Elosua R, Florez JC, Gabriel SB, Getz G, Glatt SJ, Hultman CM, Kathiresan S, Laakso M, McCarroll S, McCarthy MI, McGovern D, McPherson R, Neale BM, Palotie A, Purcell SM, Saleheen D, Scharf JM, Sklar P, Sullivan PF, Tuomilehto J, Tsuang MT, Watkins HC, Wilson JG, Daly MJ, MacArthur DG. Analysis of protein-coding genetic variation in 60,706 humans. Nature 2016; 536:285-91. [PMID: 27535533 PMCID: PMC5018207 DOI: 10.1038/nature19057] [Citation(s) in RCA: 7368] [Impact Index Per Article: 921.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Accepted: 06/24/2016] [Indexed: 02/02/2023]
Abstract
Large-scale reference data sets of human genetic variation are critical for the medical and functional interpretation of DNA sequence changes. Here we describe the aggregation and analysis of high-quality exome (protein-coding region) DNA sequence data for 60,706 individuals of diverse ancestries generated as part of the Exome Aggregation Consortium (ExAC). This catalogue of human genetic diversity contains an average of one variant every eight bases of the exome, and provides direct evidence for the presence of widespread mutational recurrence. We have used this catalogue to calculate objective metrics of pathogenicity for sequence variants, and to identify genes subject to strong selection against various classes of mutation; identifying 3,230 genes with near-complete depletion of predicted protein-truncating variants, with 72% of these genes having no currently established human disease phenotype. Finally, we demonstrate that these data can be used for the efficient filtering of candidate disease-causing variants, and for the discovery of human 'knockout' variants in protein-coding genes.
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Affiliation(s)
| | - Monkol Lek
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,School of Paediatrics and Child Health, University of Sydney, Sydney, NSW, Australia,Institute for Neuroscience and Muscle Research, Childrens Hospital at Westmead, Sydney, NSW, Australia
| | - Konrad J Karczewski
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Eric V Minikel
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - Kaitlin E Samocha
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Eric Banks
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Timothy Fennell
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Anne H O'Donnell-Luria
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - James S Ware
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Department of Genetics, Harvard Medical School, Boston, MA, USA,National Heart and Lung Institute, Imperial College London, London, UK,NIHR Royal Brompton Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, London, UK,MRC Clinical Sciences Centre, Imperial College London, London, UK
| | - Andrew J Hill
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Genome Sciences, University of Washington, Seattle, WA, USA
| | - Beryl B Cummings
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - Taru Tukiainen
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel P Birnbaum
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jack A Kosmicki
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Program in Bioinformatics and Integrative Genomics, Harvard Medical School, Boston, MA, USA
| | - Laramie E Duncan
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Karol Estrada
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Fengmei Zhao
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - James Zou
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Emma Pierce-Hoffman
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joanne Berghout
- Mouse Genome Informatics, Jackson Laboratory, Bar Harbor, ME, USA,Center for Biomedical Informatics and Biostatistics, University of Arizona, Tucson, AZ, USA
| | - David N Cooper
- Institute of Medical Genetics, Cardiff University, Cardiff, UK
| | | | - Mark DePristo
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ron Do
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA,The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA,The Center for Statistical Genetics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jason Flannick
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Menachem Fromer
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Jackie Goldstein
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Namrata Gupta
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel Howrigan
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Adam Kiezun
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mitja I Kurki
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | | | - Pradeep Natarajan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Harvard Medical School, Boston, MA, USA,Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Lorena Orozco
- Immunogenomics and Metabolic Disease Laboratory, Instituto Nacional de Medicina Gen—mica, Mexico City, Mexico
| | - Gina M Peloso
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Ryan Poplin
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Manuel A Rivas
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Samuel A Rose
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Douglas M Ruderfer
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Khalid Shakir
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Peter D Stenson
- Institute of Medical Genetics, Cardiff University, Cardiff, UK
| | - Christine Stevens
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Brett P Thomas
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Grace Tiao
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Maria T Tusie-Luna
- Molecular Biology and Genomic Medicine Unit, Instituto Nacional de Ciencias M_dicas y Nutrici—n, Mexico City, Mexico
| | - Ben Weisburd
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University,Samsung Medical Center, Seoul, Republic of Korea
| | - Dongmei Yu
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - David M Altshuler
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Vertex Pharmaceuticals, Boston, MA, USA
| | | | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - John Danesh
- Department of Public Health and Primary Care, Strangeways Research Laboratory, Cambridge, UK
| | - Stacey Donnelly
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Roberto Elosua
- Cardiovascular Epidemiology and Genetics, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Jose C Florez
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Harvard Medical School, Boston, MA, USA,Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | - Stacey B Gabriel
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA,Harvard Medical School, Boston, MA, USA,Department of Pathology and Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Stephen J Glatt
- Psychiatric Genetic Epidemiology & Neurobiology Laboratory, State University of New York,Upstate Medical University, Syracuse, NY, USA,Department of Psychiatry and Behavioral Sciences, State University of New York,Upstate Medical University, Syracuse, NY, USA,Department of Neuroscience and Physiology, State University of New York,Upstate Medical University, Syracuse, NY, USA
| | - Christina M Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Sekar Kathiresan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Harvard Medical School, Boston, MA, USA,Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Steven McCarroll
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK,Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK,Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Foundation Trust, Oxford, UK
| | - Dermot McGovern
- Inflammatory Bowel Disease and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ruth McPherson
- Atherogenomics Laboratory, University of Ottawa Heart Institute, Ottawa, ON, Canada
| | - Benjamin M Neale
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aarno Palotie
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Shaun M Purcell
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Danish Saleheen
- Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA,Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA,Center for Non-Communicable Diseases, Karachi, , Pakistan
| | - Jeremiah M Scharf
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Pamela Sklar
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Patrick F Sullivan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jaakko Tuomilehto
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Ming T Tsuang
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Hugh C Watkins
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK,Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Mark J Daly
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel G MacArthur
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
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230
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Narasimhan VM, Xue Y, Tyler-Smith C. Human Knockout Carriers: Dead, Diseased, Healthy, or Improved? Trends Mol Med 2016; 22:341-351. [PMID: 26988438 PMCID: PMC4826344 DOI: 10.1016/j.molmed.2016.02.006] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Revised: 02/18/2016] [Accepted: 02/19/2016] [Indexed: 01/11/2023]
Abstract
Whole-genome and whole-exome sequence data from large numbers of individuals reveal that we all carry many variants predicted to inactivate genes (knockouts). This discovery raises questions about the phenotypic consequences of these knockouts and potentially allows us to study human gene function through the investigation of homozygous loss-of-function carriers. Here, we discuss strategies, recent results, and future prospects for large-scale human knockout studies. We examine their relevance to studying gene function, population genetics, and importantly, the implications for accurate clinical interpretations.
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Affiliation(s)
| | - Yali Xue
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
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231
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Erzurumluoglu AM, Shihab HA, Rodriguez S, Gaunt TR, Day INM. Importance of Genetic Studies in Consanguineous Populations for the Characterization of Novel Human Gene Functions. Ann Hum Genet 2016; 80:187-96. [PMID: 27000383 PMCID: PMC4949565 DOI: 10.1111/ahg.12150] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Revised: 12/14/2015] [Accepted: 12/21/2015] [Indexed: 01/04/2023]
Abstract
Consanguineous offspring have elevated levels of homozygosity. Autozygous stretches within their genome are likely to harbour loss of function (LoF) mutations which will lead to complete inactivation or dysfunction of genes. Studying consanguineous offspring with clinical phenotypes has been very useful for identifying disease causal mutations. However, at present, most of the genes in the human genome have no disorder associated with them or have unknown function. This is presumably mostly due to the fact that homozygous LoF variants are not observed in outbred populations which are the main focus of large sequencing projects. However, another reason may be that many genes in the genome—even when completely “knocked out,” do not cause a distinct or defined phenotype. Here, we discuss the benefits and implications of studying consanguineous populations, as opposed to the traditional approach of analysing a subset of consanguineous families or individuals with disease. We suggest that studying consanguineous populations “as a whole” can speed up the characterisation of novel gene functions as well as indicating nonessential genes and/or regions in the human genome. We also suggest designing a single nucleotide variant (SNV) array to make the process more efficient.
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Affiliation(s)
- A Mesut Erzurumluoglu
- Bristol Genetic Epidemiology Laboratories (BGEL), School of Social and Community Medicine, University of Bristol, Bristol, UK.,Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Hashem A Shihab
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Santiago Rodriguez
- Bristol Genetic Epidemiology Laboratories (BGEL), School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Tom R Gaunt
- Bristol Genetic Epidemiology Laboratories (BGEL), School of Social and Community Medicine, University of Bristol, Bristol, UK.,MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Ian N M Day
- Bristol Genetic Epidemiology Laboratories (BGEL), School of Social and Community Medicine, University of Bristol, Bristol, UK
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