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Kerkhof J, Rastin C, Levy MA, Relator R, McConkey H, Demain L, Dominguez-Garrido E, Kaat LD, Houge SD, DuPont BR, Fee T, Fletcher RS, Gokhale D, Haukanes BI, Henneman P, Hilton S, Hilton BA, Jenkinson S, Lee JA, Louie RJ, Motazacker MM, Rzasa J, Stevenson RE, Plomp A, van der Laan L, van der Smagt J, Walden KK, Banka S, Mannens M, Skinner SA, Friez MJ, Campbell C, Tedder ML, Alders M, Sadikovic B. Diagnostic utility and reporting recommendations for clinical DNA methylation episignature testing in genetically undiagnosed rare diseases. Genet Med 2024; 26:101075. [PMID: 38251460 DOI: 10.1016/j.gim.2024.101075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 01/09/2024] [Accepted: 01/12/2024] [Indexed: 01/23/2024] Open
Abstract
PURPOSE This study aims to assess the diagnostic utility and provide reporting recommendations for clinical DNA methylation episignature testing based on the cohort of patients tested through the EpiSign Clinical Testing Network. METHODS The EpiSign assay utilized unsupervised clustering techniques and a support vector machine-based classification algorithm to compare each patient's genome-wide DNA methylation profile with the EpiSign Knowledge Database, yielding the result that was reported. An international working group, representing distinct EpiSign Clinical Testing Network health jurisdictions, collaborated to establish recommendations for interpretation and reporting of episignature testing. RESULTS Among 2399 cases analyzed, 1667 cases underwent a comprehensive screen of validated episignatures, imprinting, and promoter regions, resulting in 18.7% (312/1667) positive reports. The remaining 732 referrals underwent targeted episignature analysis for assessment of sequence or copy-number variants (CNVs) of uncertain significance or for assessment of clinical diagnoses without confirmed molecular findings, and 32.4% (237/732) were positive. Cases with detailed clinical information were highlighted to describe various utility scenarios for episignature testing. CONCLUSION Clinical DNA methylation testing including episignatures, imprinting, and promoter analysis provided by an integrated network of clinical laboratories enables test standardization and demonstrates significant diagnostic yield and clinical utility beyond DNA sequence analysis in rare diseases.
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Affiliation(s)
- Jennifer Kerkhof
- Verspeeten Clinical Genome Centre, London Health Sciences Centre, London, ON, Canada
| | - Cassandra Rastin
- Verspeeten Clinical Genome Centre, London Health Sciences Centre, London, ON, Canada
| | - Michael A Levy
- Verspeeten Clinical Genome Centre, London Health Sciences Centre, London, ON, Canada
| | - Raissa Relator
- Verspeeten Clinical Genome Centre, London Health Sciences Centre, London, ON, Canada
| | - Haley McConkey
- Verspeeten Clinical Genome Centre, London Health Sciences Centre, London, ON, Canada
| | - Leigh Demain
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | | | - Laura Donker Kaat
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Sofia Douzgou Houge
- Haukeland University Hospital, Centre for Medical Genetics and Molecular Medicine, Bergen, Norway
| | | | | | | | - David Gokhale
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Bjørn Ivar Haukanes
- Haukeland University Hospital, Centre for Medical Genetics and Molecular Medicine, Bergen, Norway
| | - Peter Henneman
- Amsterdam University Medical Center, University of Amsterdam, Department of Human Genetics, Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
| | - Sarah Hilton
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | | | - Sarah Jenkinson
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | | | | | - M Mahdi Motazacker
- Amsterdam University Medical Center, University of Amsterdam, Department of Human Genetics, Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
| | - Jessica Rzasa
- Verspeeten Clinical Genome Centre, London Health Sciences Centre, London, ON, Canada
| | | | - Astrid Plomp
- Department of Clinical Genetics, AMC, Amsterdam, The Netherlands
| | - Liselot van der Laan
- Amsterdam University Medical Center, University of Amsterdam, Department of Human Genetics, Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
| | - Jasper van der Smagt
- Department of Genetics, Utrecht University Medical Center, Utrecht, The Netherlands
| | | | - Siddharth Banka
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, United Kingdom; Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, United Kingdom
| | - Marcel Mannens
- Amsterdam University Medical Center, University of Amsterdam, Department of Human Genetics, Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
| | | | | | - Christopher Campbell
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | | | - Marielle Alders
- Amsterdam University Medical Center, University of Amsterdam, Department of Human Genetics, Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
| | - Bekim Sadikovic
- Verspeeten Clinical Genome Centre, London Health Sciences Centre, London, ON, Canada; Department of Pathology and Laboratory Medicine, Western University, London, ON, Canada.
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2
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Wu THY, Brown HA, Church HJ, Kershaw CJ, Hutton R, Egerton C, Cooper J, Tylee K, Cohen RN, Gokhale D, Ram D, Morton G, Henderson M, Bigger BW, Jones SA. Improving newborn screening test performance for metachromatic leukodystrophy: Recommendation from a pre-pilot study that identified a late-infantile case for treatment. Mol Genet Metab 2024; 142:108349. [PMID: 38458124 DOI: 10.1016/j.ymgme.2024.108349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/15/2024] [Accepted: 02/18/2024] [Indexed: 03/10/2024]
Abstract
Metachromatic leukodystrophy (MLD) is a devastating rare neurodegenerative disease. Typically, loss of motor and cognitive skills precedes early death. The disease is characterised by deficient lysosomal arylsulphatase A (ARSA) activity and an accumulation of undegraded sulphatide due to pathogenic variants in the ARSA gene. Atidarsagene autotemcel (arsa-cel), an ex vivo haematopoietic stem cell gene therapy was approved for use in the UK in 2021 to treat early-onset forms of pre- or early-symptomatic MLD. Optimal outcomes require early diagnosis, but in the absence of family history this is difficult to achieve without newborn screening (NBS). A pre-pilot MLD NBS study was conducted as a feasibility study in Manchester UK using a two-tiered screening test algorithm. Pre-established cutoff values (COV) for the first-tier C16:0 sulphatide (C16:0-S) and the second-tier ARSA tests were evaluated. Before the pre-pilot study, initial test validation using non‑neonatal diagnostic bloodspots demonstrated ARSA pseudodeficiency status was associated with normal C16:0-S results for age (n = 43) and hence not expected to cause false positive results in this first-tier test. Instability of ARSA in bloodspot required transfer of NBS bloodspots from ambient temperature to -20°C storage within 7-8 days after heel prick, the earliest possible in this UK pre-pilot study. Eleven of 3687 de-identified NBS samples in the pre-pilot were positive for C16:0-S based on the pre-established COV of ≥170 nmol/l or ≥ 1.8 multiples of median (MoM). All 11 samples were subsequently tested negative determined by the ARSA COV of <20% mean of negative controls. However, two of 20 NBS samples from MLD patients would be missed by this C16:0-S COV. A further suspected false negative case that displayed 4% mean ARSA activity by single ARSA analysis for the initial test validation was confirmed by genotyping of this NBS bloodspot, a severe late infantile MLD phenotype was predicted. This led to urgent assessment of this child by authority approval and timely commencement of arsa-cel gene therapy at 11 months old. Secondary C16:0-S analysis of this NBS bloodspot was 150 nmol/l or 1.67 MoM. This was the lowest result reported thus far, a new COV of 1.65 MoM is recommended for future pilot studies. Furthermore, preliminary data of this study showed C16:1-OH sulphatide is more specific for MLD than C16:0-S. In conclusion, this pre-pilot study adds to the international evidence that recommends newborn screening for MLD, making it possible for patients to benefit fully from treatment through early diagnosis.
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Affiliation(s)
- Teresa H Y Wu
- Willink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK.
| | - Heather A Brown
- Willink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK
| | - Heather J Church
- Willink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK
| | - Christopher J Kershaw
- North-West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK
| | - Rebekah Hutton
- Willink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK
| | - Christine Egerton
- Willink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK
| | - James Cooper
- Willink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK
| | - Karen Tylee
- Willink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK
| | - Rebecca N Cohen
- North-West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK
| | - David Gokhale
- North-West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK
| | - Dipak Ram
- Department of Paediatric Neurology, Royal Manchester Children's Hospital, Oxford Road, Manchester M13 9WL, UK
| | - Georgina Morton
- ArchAngel MLD Trust, 506 Betula House, North Wharf Road, London W2 1DT, UK
| | - Michael Henderson
- Specialist Laboratory Medicine, Leeds Teaching Hospitals Trust, Leeds LS9 7TF, UK
| | - Brian W Bigger
- Stem Cell & Neurotherapies, Faculty of Biology Medicine and Health, University of Manchester, Manchester M13 9PT, UK; Centre for Regenerative Medicine, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh EH16 4UU, UK
| | - Simon A Jones
- Willink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK
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Corder ML, Berland S, Førsvoll JA, Banerjee I, Murray P, Bratland E, Gokhale D, Houge G, Douzgou S. Truncating and zinc-finger variants in GLI2 are associated with hypopituitarism. Am J Med Genet A 2022; 188:1065-1074. [PMID: 34921505 DOI: 10.1002/ajmg.a.62611] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/14/2021] [Accepted: 11/30/2021] [Indexed: 11/08/2022]
Abstract
Variants in transcription factor GLI2 have been associated with hypopituitarism and structural brain abnormalities, occasionally including holoprosencephaly (HPE). Substantial phenotypic variability and nonpenetrance have been described, posing difficulties in the counseling of affected families. We present three individuals with novel likely pathogenic GLI2 variants, two with truncating and one with a de novo missense variant p.(Ser548Leu), and review the literature for comprehensive phenotypic descriptions of individuals with confirmed pathogenic (a) intragenic GLI2 variants and (b) chromosome 2q14.2 deletions encompassing only GLI2. We show that most of the 31 missense variants previously reported as pathogenic are likely benign or, at most, low-risk variants. Four Zn-finger variants: p.(Arg479Gly), p.(Arg516Pro), p.(Gly518Lys), and p.(Tyr575His) were classified as likely pathogenic, and three other variants as possibly pathogenic: p.(Pro253Ser), p.(Ala593Val), and p.(Pro1243Leu). We analyze the phenotypic descriptions of 60 individuals with pathogenic GLI2 variants and evidence a morbidity spectrum that includes hypopituitarism (58%), HPE (6%) or other brain structure abnormalities (15%), orofacial clefting (17%) and dysmorphic facial features (35%). We establish that truncating and Zn-finger variants in GLI2 are associated with a high risk of hypopituitarism, and that a solitary median maxillary central incisor is part of the GLI2-related phenotypic variability. The most prevalent phenotypic feature is post-axial polydactyly (65%) which is also the mildest phenotypic expression of the condition, reported in many parents of individuals with systemic findings. Our approach clarifies clinical risks and the important messages to discuss in counseling for a pathogenic GLI2 variant.
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Affiliation(s)
- Megan L Corder
- Faculty of Health and Medicine, Lancaster University, Lancaster, UK
| | - Siren Berland
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Jostein A Førsvoll
- Department of Pediatrics, Stavanger University Hospital, Stavanger, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Indraneel Banerjee
- Faculty of Biology, Medicine and Health, Division of Developmental Biology and Medicine, University of Manchester and Manchester Academic Health Science Centre, Royal Manchester Children's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Phil Murray
- Faculty of Biology, Medicine and Health, Division of Developmental Biology and Medicine, University of Manchester and Manchester Academic Health Science Centre, Royal Manchester Children's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Eirik Bratland
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - David Gokhale
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Gunnar Houge
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
- Division of Evolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Sofia Douzgou
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
- Division of Evolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, UK
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4
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Singhvi B, Gokhale D. Usage of nutritional supplements and its side effects among gym goers in Pune. CM 2021. [DOI: 10.18137/cardiometry.2021.20.151159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Nutritional supplements have always been a point of attractionfor physically active people. These have improved exercise performance,increased muscular strength, weight gain or weight loss,etc. The irrational use of supplements has led to various side effectsassociated with them. There is a shortage of evidence suggestingthe usage and knowledge regarding the consumption ofdietary supplements. A cross-sectional study was conducted witha 121 sample size randomly chosen from 5 different zones of thecity. A structured questionnaire was designed to collect informationwherein participants reported their demographics, physical activity,supplement usage patterns, source of information, and side effects.Descriptive statistics, chi-square test, was used with p<0.05 as significant.Samples used different dosages, forms, brands, and accessto supplements. The participants coming to the gym for moreextended periods were likely to consume supplements in higherdosages (p = 0.020). Protein powder was consumed by 97.5% ofthe samples. There was a significant association between differenttypes of supplements across gender, age group, and period of exercisingin the gym. Side effects such as cramps (p = 0.015) andnausea were significantly associated with high dosages of supplementconsumption. The majority of them (51.2%) took advice fromtrainers. Only 9.9% consulted dieticians. Individuals consumed supplementswithout the guidance of any health professionals, whichwas predisposing them to various side effects. This reflects a lackof knowledge and awareness of supplement usage and highlightseducating various stakeholders and gym-goers.
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5
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Mankad M, Gokhale D. Hedonic hunger: eating for desire and not calories. CM 2021. [DOI: 10.18137/cardiometry.2021.20.160166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Hedonic hunger can be described as a state where an individualexperiences recurrent feelings, thoughts, and desires about foodin the absence of energy deprivation. Living in an obesogenicenvironment where cheap, tasty foods are available in plentifulamounts is one of the major causes of hedonic hunger development.Hedonic hunger can be analyzed using a power of foodscale (PFS) which estimates appetite and not palatable food consumption.The current epidemic of obesity globally (termed as“globesity” by WHO) is seen to be majorly driven by the hedoniceating system and an imbalance in the energy homeostasis system.Previous studies indicate that hedonic hunger and obesityare associated, and a weak but no significant correlation existsbetween BMI and PFS score. It can lead to the development ofvarious lifestyle disorders in the longer run. High levels of pleasure-driven hunger can even lead to detrimental health outcomeslike poor glycaemic control, unhealthy dietary behavior,and increased lipid profile levels which are aggravated explicitlyin cardiovascular diseases. With the adaptation to western dietarylifestyle, people are keener to opt for food options that canbe damaging and harmful when low levels of self-control, dietarymotivation, and healthy dietary habits are absent. Apart from thereward regulation system, which has a direct effect on hedonichunger, certain external factors like emotional eating, meals andmeal preparation, food cravings, sleep, physical activity, stress,social media, portion size, peer influence, an atmosphere of arestaurant can also promote more than required intake of food.This review article summarizes the above findings taking into accountthe plethora of research studies conducted so far.
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Molina-Ramírez LP, Burkitt-Wright EM, Saeed H, McDermott JH, Kyle C, Wright R, Campbell C, Bhaskar SS, Taylor A, Dutton L, Forde C, Metcalfe K, Smith A, Clayton-Smith J, Douzgou S, Chandler K, Briggs TA, Banka S, Newman WG, Gokhale D, Bruce IA, Black GC. The diagnostic utility of clinical exome sequencing in 60 patients with hearing loss disorders: A single-institution experience. Clin Otolaryngol 2021; 46:1257-1262. [PMID: 34171171 DOI: 10.1111/coa.13826] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 04/08/2021] [Accepted: 05/08/2021] [Indexed: 11/27/2022]
Affiliation(s)
- Leslie P Molina-Ramírez
- Division of Evolution and Genomic Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Emma Mm Burkitt-Wright
- Division of Evolution and Genomic Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Haroon Saeed
- Paediatric ENT Department, Manchester Academic Health Science Centre, Royal Manchester Children's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - John H McDermott
- Division of Evolution and Genomic Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Claire Kyle
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Ronnie Wright
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Christopher Campbell
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Sanjeev S Bhaskar
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Algy Taylor
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Laura Dutton
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Claire Forde
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Kay Metcalfe
- Division of Evolution and Genomic Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Audrey Smith
- Division of Evolution and Genomic Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jill Clayton-Smith
- Division of Evolution and Genomic Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Sofia Douzgou
- Division of Evolution and Genomic Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Kate Chandler
- Division of Evolution and Genomic Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Tracy A Briggs
- Division of Evolution and Genomic Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Siddharth Banka
- Division of Evolution and Genomic Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - William G Newman
- Division of Evolution and Genomic Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - David Gokhale
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Iain A Bruce
- Paediatric ENT Department, Manchester Academic Health Science Centre, Royal Manchester Children's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.,Division of Infection, Immunity and Respiratory Medicine, Faculty of Biology, Medicine, Health University of Manchester, Manchester, UK
| | - Graeme C Black
- Division of Evolution and Genomic Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
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7
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Molina-Ramírez LP, Kyle C, Ellingford JM, Wright R, Taylor A, Bhaskar SS, Campbell C, Jackson H, Fairclough A, Rousseau A, Burghel GJ, Dutton L, Banka S, Briggs TA, Clayton-Smith J, Douzgou S, Jones EA, Kingston HM, Kerr B, Ealing J, Somarathi S, Chandler KE, Stuart HM, Burkitt-Wright EM, Newman WG, Bruce IA, Black GC, Gokhale D. Personalised virtual gene panels reduce interpretation workload and maintain diagnostic rates of proband-only clinical exome sequencing for rare disorders. J Med Genet 2021; 59:393-398. [PMID: 33879512 PMCID: PMC8961756 DOI: 10.1136/jmedgenet-2020-107303] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 01/17/2021] [Accepted: 02/14/2021] [Indexed: 01/20/2023]
Abstract
Purpose The increased adoption of genomic strategies in the clinic makes it imperative for diagnostic laboratories to improve the efficiency of variant interpretation. Clinical exome sequencing (CES) is becoming a valuable diagnostic tool, capable of meeting the diagnostic demand imposed by the vast array of different rare monogenic disorders. We have assessed a clinician-led and phenotype-based approach for virtual gene panel generation for analysis of targeted CES in patients with rare disease in a single institution. Methods Retrospective survey of 400 consecutive cases presumed by clinicians to have rare monogenic disorders, referred on singleton basis for targeted CES. We evaluated diagnostic yield and variant workload to characterise the usefulness of a clinician-led approach for generation of virtual gene panels that can incorporate up to three different phenotype-driven gene selection methods. Results Abnormalities of the nervous system (54.5%), including intellectual disability, head and neck (19%), skeletal system (16%), ear (15%) and eye (15%) were the most common clinical features reported in referrals. Combined phenotype-driven strategies for virtual gene panel generation were used in 57% of cases. On average, 7.3 variants (median=5) per case were retained for clinical interpretation. The overall diagnostic rate of proband-only CES using personalised phenotype-driven virtual gene panels was 24%. Conclusions Our results show that personalised virtual gene panels are a cost-effective approach for variant analysis of CES, maintaining diagnostic yield and optimising the use of resources for clinical genomic sequencing in the clinic.
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Affiliation(s)
- Leslie Patricia Molina-Ramírez
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Claire Kyle
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Jamie M Ellingford
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Ronnie Wright
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Algy Taylor
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Sanjeev S Bhaskar
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Christopher Campbell
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Harriet Jackson
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Adele Fairclough
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Abigail Rousseau
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - George J Burghel
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Laura Dutton
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Siddharth Banka
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Tracy A Briggs
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Jill Clayton-Smith
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Sofia Douzgou
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Elizabeth A Jones
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Helen M Kingston
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Bronwyn Kerr
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - John Ealing
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK.,Department of Neurology, Salford Royal NHS Foundation Trust, Salford, Salford, UK
| | - Suresh Somarathi
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Kate E Chandler
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Helen M Stuart
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Emma Mm Burkitt-Wright
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - William G Newman
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - Iain A Bruce
- Division of Infection, Immunity and Respiratory Medicine, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.,Paediatric ENT Department, Royal Manchester Children's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Graeme C Black
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK .,North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
| | - David Gokhale
- North West Genomic Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
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8
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Ellingford JM, George R, McDermott JH, Ahmad S, Edgerley JJ, Gokhale D, Newman WG, Ball S, Machin N, Black GC. Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission. eLife 2021; 10:65453. [PMID: 33729154 PMCID: PMC8009659 DOI: 10.7554/elife.65453] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 03/16/2021] [Indexed: 01/17/2023] Open
Abstract
Understanding the effectiveness of infection control methods in reducing and preventing SARS-CoV-2 transmission in healthcare settings is of high importance. We sequenced SARS-CoV-2 genomes for patients and healthcare workers (HCWs) across multiple geographically distinct UK hospitals, obtaining 173 high-quality SARS-CoV-2 genomes. We integrated patient movement and staff location data into the analysis of viral genome data to understand spatial and temporal dynamics of SARS-CoV-2 transmission. We identified eight patient contact clusters (PCC) with significantly increased similarity in genomic variants compared to non-clustered samples. Incorporation of HCW location further increased the number of individuals within PCCs and identified additional links in SARS-CoV-2 transmission pathways. Patients within PCCs carried viruses more genetically identical to HCWs in the same ward location. SARS-CoV-2 genome sequencing integrated with patient and HCW movement data increases identification of outbreak clusters. This dynamic approach can support infection control management strategies within the healthcare setting.
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Affiliation(s)
- Jamie M Ellingford
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.,Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, United Kingdom
| | - Ryan George
- Department of Infection Prevention & Control, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - John H McDermott
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.,Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, United Kingdom
| | - Shazaad Ahmad
- Department of Virology, Manchester Medical Microbiology Partnership, Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, United Kingdom
| | - Jonathan J Edgerley
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - David Gokhale
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - William G Newman
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.,Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, United Kingdom
| | - Stephen Ball
- Division of Diabetes, Endocrinology & Gastroenterology, School of Medical Sciences, University of Manchester, Manchester, United Kingdom.,Department of Clinical Endocrinology, Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, United Kingdom
| | - Nicholas Machin
- Department of Virology, Manchester Medical Microbiology Partnership, Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, United Kingdom.,Manchester Medical Microbiology Partnership, Public Health England and Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Graeme Cm Black
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.,Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, United Kingdom
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9
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McDermott JH, Stoddard D, Ellingford JM, Gokhale D, Reynard C, Black G, Body R, Newman WG. Utilizing point-of-care diagnostics to minimize nosocomial infection in the 2019 novel coronavirus (SARS-CoV-2) pandemic. QJM 2020; 113:851-853. [PMID: 32492142 PMCID: PMC7313876 DOI: 10.1093/qjmed/hcaa185] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Affiliation(s)
- J H McDermott
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK
- Correspondence to Dr John Henry McDermott, Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester M13 9WL, UK. Tel: 0161 276 6506, e-mail: &
| | - D Stoddard
- DS Analytics and Machine Learning Ltd, 12 Hammersmith Grove, Hammersmith, London, M6 7AP
| | - J M Ellingford
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK
| | - D Gokhale
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK
| | - C Reynard
- Emergency Department, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK
- Division of Cardiovascular Sciences, University of Manchester, Manchester, UK
| | - G Black
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK
| | - R Body
- Emergency Department, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK
- Division of Cardiovascular Sciences, University of Manchester, Manchester, UK
| | - W G Newman
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK
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10
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Hawcutt D, Hammond B, Sibbring J, Gokhale D, Ellis I, Bricker L, Subhedar N. Twin–twin confusion syndrome: Blood chimerism in opposite sex dizygotic twins. J OBSTET GYNAECOL 2011; 31:446-8. [DOI: 10.3109/01443615.2011.570813] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Abstract
The neural cell adhesion molecule L1 is a transmembrane glycoprotein belonging to the immunoglobulin superfamily of cell adhesion molecules (CAMs). Its expression is essential during embryonic development of the nervous system and it is involved in cognitive function and memory. Mutations in the L1CAM gene are responsible for four related L1 disorders; X-linked hydrocephalus/HSAS (Hydrocephalus as a result of Stenosis of the Aqueduct of Sylvius), MASA (Mental retardation, Aphasia, Shuffling gait, and Adducted thumbs) syndrome, X-linked complicated spastic paraplegia type I (SPG1) and X-linked Agenesis of the Corpus Callosum (ACC). These four disorders represent a clinical spectrum that varies both between and within families. The main clinical features of this spectrum are Corpus callosum hypoplasia, mental Retardation, Adducted thumbs, Spastic paraplegia and Hydrocephalus (CRASH syndrome). Since there is no biochemically assayed disease marker, molecular analysis of the L1CAM gene is the only means of confirming a clinical diagnosis. Most L1CAM mutations reported to date are point mutations (missense, nonsense, splice site) and only a few patients with larger rearrangements have been documented. We have characterised a rare intragenic deletion of the L1CAM gene in a sample of DNA extracted from a chorionic villus biopsy (CVB) performed at 12 weeks' gestation. =
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Affiliation(s)
- Maria Panayi
- National Genetics Reference Laboratory, Regional Genetics Service, St Mary's Hospital, Manchester, UK.
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12
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Evans DGR, Neuhausen SL, Bulman M, Young K, Gokhale D, Lalloo F. Haplotype and cancer risk analysis of two common mutations, BRCA1 4184del4 and BRCA2 2157delG, in high risk northwest England breast/ovarian families. J Med Genet 2004; 41:e21. [PMID: 14757871 PMCID: PMC1735669 DOI: 10.1136/jmg.2003.012104] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- D G R Evans
- Academic Unit of Medical Genetics, Regional Genetics Service and National Genetics Reference Laboratory, St Mary's Hospital, Manchester M13 0JH, UK.
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13
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Abstract
33 families with a history of male breast cancer aged 60 or less or with a family history of male and female breast cancer were screened for the presence of BRCA2 mutations. 12 pathogenic BRCA2 mutations were identified (36%) in samples from an affected family member. All mutations segregated with disease where it was possible to check. Of the 14 families fulfilling BCLC criteria, 9 (64%) had mutations whilst only 3/16 (19%) of male breast cancer patients with less significant female breast cancer family history having a mutation. All 3 families with ovarian cancer and 3 families with multiple male breast cancer cases had BRCA2 mutations. These data are a further guide to how to prioritise samples for BRCA2 mutation analysis.
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Affiliation(s)
- D G Evans
- University Department of Medical Genetics and Regional Genetics Service, St. Mary's Hospital, Hathersage Road, Manchester, UK.
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14
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Affiliation(s)
- D G R Evans
- Academic Unit of Medical Genetics, Regional Genetics Service, and National Genetics Reference Laboratory, St Mary's Hospital, Manchester M13 0JH, UK.
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15
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Wahbi LP, Gokhale D, Minter S, Stephens GM. Construction and use of recombinant Escherichia coli strains for the synthesis of toluene cis-glycol. Enzyme Microb Technol 1996; 19:297-306. [PMID: 8987488 DOI: 10.1016/0141-0229(95)00249-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The toluene dioxygenase genes derived from Pseudomonas putida NCIMB 11767 were subcloned from a previously constructed recombinant plasmid, pIG, using pUC18 as the cloning vector and E. coli TG2 as the host strain. The resulting strain, E. coli TG2 (p1/1), produced toluene cis-glycol when grown in LB broth or minimal medium in the presence of toluene. Restriction mapping and partial DNA sequencing provided evidence for the presence of ORFs with extensive homology to parts of the tod operon from P. putida F1. The clones exhibited some residual toluene cis-glycol dehydrogenase activity which resulted in the formation of small amounts of 3-methylcatechol. Expression of the dioxygenase was induced by toluene, but was not directed by the lac promoter within the cloning vector. The clones were assessed for toluene cis-glycol production in pH-controlled batch cultures, and the maximum product concentration obtained was 1.02 g l-1. Product formation was dependent upon the presence of glucose in the culture medium. Although the substrate was toxic, the biotransformation was apparently limited by the supply of toluene. The results suggest that it should be possible to improve toluene cis-glycol production by recombinants substantially by improving both the strain and fermentation process.
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Affiliation(s)
- L P Wahbi
- Department of Chemical Engineering, UMIST, Manchester, United Kingdom
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16
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Gokhale D, Deobagkar D. Isolation of intergeneric hybrids between Bacillus subtilis and Zymomonas mobilis and the production of thermostable amylase by hybrids. Biotechnol Appl Biochem 1994; 20:109-16. [PMID: 7917061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Stable hybrids were obtained by protoplast fusion between Bacillus subtilis and Zymomonas mobilis. All the hybrids were able to hydrolyse starch and possessed ampicillin- and tetracycline-resistant phenotypes. Two of the hybrids, BZ-1 and BZ-2, were hyperproducers of alpha-amylase. The enzyme produced by these hybrids exhibited increased thermostability. The results show that stable intergeneric gene transfer can be achieved through poly(ethylene glycol)-mediated protoplast fusion between two industrially important genera of bacteria.
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Affiliation(s)
- D Gokhale
- NCIM, Division of Biochemical Sciences, National Chemical Laboratory, Pune, India
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17
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18
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