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Fellows AD, Bruntraeger M, Burgold T, Bassett AR, Carter AP. Dynein and dynactin move long-range but are delivered separately to the axon tip. J Cell Biol 2024; 223:e202309084. [PMID: 38407313 PMCID: PMC10896695 DOI: 10.1083/jcb.202309084] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/17/2024] [Accepted: 02/05/2024] [Indexed: 02/27/2024] Open
Abstract
Axonal transport is essential for neuronal survival. This is driven by microtubule motors including dynein, which transports cargo from the axon tip back to the cell body. This function requires its cofactor dynactin and regulators LIS1 and NDEL1. Due to difficulties imaging dynein at a single-molecule level, it is unclear how this motor and its regulators coordinate transport along the length of the axon. Here, we use a neuron-inducible human stem cell line (NGN2-OPTi-OX) to endogenously tag dynein components and visualize them at a near-single molecule regime. In the retrograde direction, we find that dynein and dynactin can move the entire length of the axon (>500 µm). Furthermore, LIS1 and NDEL1 also undergo long-distance movement, despite being mainly implicated with the initiation of dynein transport. Intriguingly, in the anterograde direction, dynein/LIS1 moves faster than dynactin/NDEL1, consistent with transport on different cargos. Therefore, neurons ensure efficient transport by holding dynein/dynactin on cargos over long distances but keeping them separate until required.
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Affiliation(s)
- Alexander D Fellows
- Division of Structural Studies, Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | | | - Thomas Burgold
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | | | - Andrew P Carter
- Division of Structural Studies, Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
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2
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Fernandes HJR, Kent JP, Bruntraeger M, Bassett AR, Koulman A, Metzakopian E, Snowden SG. Mitochondrial and Endoplasmic Reticulum Stress Trigger Triglyceride Accumulation in Models of Parkinson's Disease Independent of Mutations in MAPT. Metabolites 2023; 13:112. [PMID: 36677037 PMCID: PMC9861589 DOI: 10.3390/metabo13010112] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/11/2022] [Accepted: 12/14/2022] [Indexed: 01/10/2023] Open
Abstract
The metabolic basis of Parkinson's disease pathology is poorly understood. However, the involvement of mitochondrial and endoplasmic reticulum stress in dopamine neurons in disease aetiology is well established. We looked at the effect of rotenone- and tunicamycin-induced mitochondrial and ER stress on the metabolism of wild type and microtubule-associated protein tau mutant dopamine neurons. Dopamine neurons derived from human isolated iPSCs were subjected to mitochondrial and ER stress using RT and TM, respectively. Comprehensive metabolite profiles were generated using a split phase extraction analysed by reversed phase lipidomics whilst the aqueous phase was measured using HILIC metabolomics. Mitochondrial and ER stress were both shown to cause significant dysregulation of metabolism with RT-induced stress producing a larger shift in the metabolic profile of both wild type and MAPT neurons. Detailed analysis showed that accumulation of triglycerides was a significant driver of metabolic dysregulation in response to both stresses in both genotypes. Whilst the consequence is similar, the mechanisms by which triglyceride accumulation occurs in dopamine neurons in response to mitochondrial and ER stress are very different. Thus, improving our understanding of how these mechanisms drive the observed triglyceride accumulation can potentially open up new therapeutic avenues.
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Affiliation(s)
- Hugo J. R. Fernandes
- Department of Clinical Neurosciences, UK Dementia Research Institute, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0AH, UK
| | - Josh P. Kent
- Department of Clinical Neurosciences, UK Dementia Research Institute, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0AH, UK
- Core Metabolomics and Lipidomics Laboratory, Institute of Metabolic Science, University of Cambridge, Level 4 Pathology, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | | | - Andrew R. Bassett
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK
| | - Albert Koulman
- Core Metabolomics and Lipidomics Laboratory, Institute of Metabolic Science, University of Cambridge, Level 4 Pathology, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Emmanouil Metzakopian
- Department of Clinical Neurosciences, UK Dementia Research Institute, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0AH, UK
| | - Stuart G. Snowden
- Department of Biological Sciences, Royal Holloway University of London, Egham, London TW20 0EX, UK
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3
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Gleeson D, Sethi D, Platte R, Burvill J, Barrett D, Akhtar S, Bruntraeger M, Bottomley J, Mouse Genetics Project S, Bussell J, Ryder E. High-throughput genotyping of high-homology mutant mouse strains by next-generation sequencing. Methods 2020; 191:78-86. [PMID: 33096238 PMCID: PMC8205115 DOI: 10.1016/j.ymeth.2020.10.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 09/25/2020] [Accepted: 10/18/2020] [Indexed: 11/05/2022] Open
Abstract
Next generation sequencing is a scalable solution to genotyping mutant mice. Ratios of wild type and mutant sequence counts are used to call the genotype. Hundreds of samples can be multiplexed into one sequencing experiment. Amplification of high-homology genes can be easily filtered out during analysis.
Genotyping of knockout alleles in mice is commonly performed by end-point PCR or gene-specific/universal cassette qPCR. Both have advantages and limitations in terms of assay design and interpretation of results. As an alternative method for high-throughput genotyping, we investigated next generation sequencing (NGS) of PCR amplicons, with a focus on CRISPR-mediated exon deletions where antibiotic selection markers are not present. By multiplexing the wild type and mutant-specific PCR reactions, the genotype can be called by the relative sequence counts of each product. The system is highly scalable and can be applied to a variety of different allele types, including those produced by the International Mouse Phenotyping Consortium and associated projects. One potential challenge with any assay design is locating unique areas of the genome, especially when working with gene families or regions of high homology. These can result in misleading or ambiguous genotypes for either qPCR or end-point assays. Here, we show that genotyping by NGS can negate these issues by simple, automated filtering of undesired sequences. Analysis and genotype calls can also be fully automated, using FASTQ or FASTA input files and an in-house Perl script and SQL database.
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Affiliation(s)
- Diane Gleeson
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Debarati Sethi
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Radka Platte
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Jonathan Burvill
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Daniel Barrett
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Shaheen Akhtar
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Michaela Bruntraeger
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Joanna Bottomley
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | | | - James Bussell
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Edward Ryder
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
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4
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Tan HK, Goh SKY, Tsotsi S, Bruntraeger M, Chen HY, Broekman B, Tan KH, Chong YS, Meaney MJ, Qiu A, Rifkin-Graboi A. Maternal antenatal anxiety and electrophysiological functioning amongst a sub-set of preschoolers participating in the GUSTO cohort. BMC Psychiatry 2020; 20:62. [PMID: 32050929 PMCID: PMC7017524 DOI: 10.1186/s12888-020-2454-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 01/22/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Antenatal maternal anxiety is a risk for offspring psychological and cognitive difficulties. The preschool years represent an important time for brain development, and so may be a window for intervention. However, electrophysiological investigations of maternal anxiety and preschoolers' brain functioning are lacking. We ask whether anxiety symptoms predict neurophysiology, and consider timing specificity (26-weeks antenatal or 24-months postnatal), form of insult (anxiety symptoms, per se, or also depression symptoms), and offspring gender. METHODS The sample consisted of a subset of 71 mothers and their 3 year old children taking part in the prospective birth cohort, GUSTO. Mothers provided antenatal (26 weeks) and postnatal (2 years) anxiety and depressive symptomatology data, respectively via the "State Trait Anxiety Questionnaire" and the "Edinburgh Postpartum Depression Scale." Offspring provided electrophysiological data, obtained while they indicated the emotional expression of actors whose facial expressions remained consistent throughout a pre-switch block, but were reversed at "post-switch." RESULTS Three electrophysiological components linked to different information processing stages were identified. The two earliest occurring components (i.e., the N1 and P2) differed across blocks. During post-switch, both were significantly predicted by maternal anxiety, after controlling for pre-switch neurophysiology. Similar results were observed with depression. Antenatal mental health remained a significant predictor after controlling for postnatal mental health. CONCLUSION In combination with past work, these findings suggest the importance of reducing symptoms in women prior to and during pregnancy, and offering support to offspring early in development.
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Affiliation(s)
- Hong Kuang Tan
- grid.452264.30000 0004 0530 269XIntegrative Neurosciences, Singapore Institute for Clinical Sciences (SICS), Agency for Science and Technology (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609 Singapore ,grid.428397.30000 0004 0385 0924Duke-National University of Singapore, 8 College Road, Singapore, 169857 Singapore
| | - Shaun K. Y. Goh
- grid.4280.e0000 0001 2180 6431Department of Biomedical Engineering, National University Singapore, 4 Engineering Drive 3, Singapore, 117583 Singapore ,grid.59025.3b0000 0001 2224 0361Present Address: Centre for Research in Child Development, National Institute of Education, 1 Nanyang Walk, Singapore, S637616 Singapore
| | - Stella Tsotsi
- grid.452264.30000 0004 0530 269XIntegrative Neurosciences, Singapore Institute for Clinical Sciences (SICS), Agency for Science and Technology (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609 Singapore ,grid.59025.3b0000 0001 2224 0361Present Address: Centre for Research in Child Development, National Institute of Education, 1 Nanyang Walk, Singapore, S637616 Singapore
| | - Michaela Bruntraeger
- grid.452264.30000 0004 0530 269XIntegrative Neurosciences, Singapore Institute for Clinical Sciences (SICS), Agency for Science and Technology (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609 Singapore ,grid.10306.340000 0004 0606 5382Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA UK
| | - Helen Yu Chen
- grid.428397.30000 0004 0385 0924Duke-National University of Singapore, 8 College Road, Singapore, 169857 Singapore ,Department of Psychological Medicine, KK Women and Children’s Hospital, 100 Bukit Timah Road, Singapore, 229899 Singapore
| | - Birit Broekman
- grid.452264.30000 0004 0530 269XIntegrative Neurosciences, Singapore Institute for Clinical Sciences (SICS), Agency for Science and Technology (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609 Singapore ,Department of Psychiatry, OLVG and Amsterdam UMC, Amsterdam, Netherlands
| | - Kok Hian Tan
- Division of Obstetrics and Gynaecology, KK Women and Children’s Hospital, 100 Bukit Timah Road, Singapore, 229899 Singapore
| | - Yap Seng Chong
- grid.452264.30000 0004 0530 269XIntegrative Neurosciences, Singapore Institute for Clinical Sciences (SICS), Agency for Science and Technology (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609 Singapore ,grid.412106.00000 0004 0621 9599Department of Gynaecology and Obstetrics, National University Hospital Singapore, 1E, Kent Ridge Road, Singapore, 119228 Singapore
| | - Michael J. Meaney
- grid.452264.30000 0004 0530 269XIntegrative Neurosciences, Singapore Institute for Clinical Sciences (SICS), Agency for Science and Technology (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609 Singapore ,grid.14709.3b0000 0004 1936 8649McGill University, 6875 Boulevard Lasalle, Montréal, QC H4H 1R3 Canada ,Ludmer Centre for Neuroinformatics and Mental Health, 6875 Boulevard Lasalle, Montréal, QC H4H 1R3 Canada
| | - Anqi Qiu
- grid.452264.30000 0004 0530 269XIntegrative Neurosciences, Singapore Institute for Clinical Sciences (SICS), Agency for Science and Technology (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609 Singapore ,grid.4280.e0000 0001 2180 6431Department of Biomedical Engineering, National University Singapore, 4 Engineering Drive 3, Singapore, 117583 Singapore
| | - Anne Rifkin-Graboi
- Integrative Neurosciences, Singapore Institute for Clinical Sciences (SICS), Agency for Science and Technology (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore. .,Present Address: Centre for Research in Child Development, National Institute of Education, 1 Nanyang Walk, Singapore, S637616, Singapore.
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5
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Abstract
Genome editing using the CRISPR/Cas9 system has rapidly established itself as an essential tool in the genetic manipulation of many organisms, including human cell lines. Its application to human induced pluripotent stem cells (hiPSCs) allows for the generation of isogenic cell pairs that differ in a single genetic lesion, and therefore the identification and characterization of causal genetic variants. We describe a simple, effective approach to perform delicate manipulations of the genome of hiPSCs through delivery of Cas9 RNPs along with ssDNA oligonucleotide repair templates that can generate mutations in up to 98% of single cell clones and introduce single nucleotide changes at an efficiency of up to 40%. We describe our use of a T7 endonuclease assay to identify active guide RNAs, and a high-throughput sequencing genotyping strategy that allows the identification of correctly edited clones. We also present our experiences of generating single nucleotide changes at 15 sites, which show considerable variability between both guides and target sites in the efficiency at which such changes can be introduced.
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Affiliation(s)
| | - Meg Byrne
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Kathleen Long
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Andrew R Bassett
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
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6
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Martin HC, Jones WD, McIntyre R, Sanchez-Andrade G, Sanderson M, Stephenson JD, Jones CP, Handsaker J, Gallone G, Bruntraeger M, McRae JF, Prigmore E, Short P, Niemi M, Kaplanis J, Radford EJ, Akawi N, Balasubramanian M, Dean J, Horton R, Hulbert A, Johnson DS, Johnson K, Kumar D, Lynch SA, Mehta SG, Morton J, Parker MJ, Splitt M, Turnpenny PD, Vasudevan PC, Wright M, Bassett A, Gerety SS, Wright CF, FitzPatrick DR, Firth HV, Hurles ME, Barrett JC. Quantifying the contribution of recessive coding variation to developmental disorders. Science 2018; 362:1161-1164. [PMID: 30409806 DOI: 10.1126/science.aar6731] [Citation(s) in RCA: 123] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Revised: 08/10/2018] [Accepted: 10/29/2018] [Indexed: 12/13/2022]
Abstract
We estimated the genome-wide contribution of recessive coding variation in 6040 families from the Deciphering Developmental Disorders study. The proportion of cases attributable to recessive coding variants was 3.6% in patients of European ancestry, compared with 50% explained by de novo coding mutations. It was higher (31%) in patients with Pakistani ancestry, owing to elevated autozygosity. Half of this recessive burden is attributable to known genes. We identified two genes not previously associated with recessive developmental disorders, KDM5B and EIF3F, and functionally validated them with mouse and cellular models. Our results suggest that recessive coding variants account for a small fraction of currently undiagnosed nonconsanguineous individuals, and that the role of noncoding variants, incomplete penetrance, and polygenic mechanisms need further exploration.
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Affiliation(s)
- Hilary C Martin
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.
| | - Wendy D Jones
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.,Great Ormond Street Hospital for Children, National Health Service (NHS) Foundation Trust, Great Ormond Street Hospital, Great Ormond Street, London WC1N 3JH, UK
| | - Rebecca McIntyre
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - Mark Sanderson
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - James D Stephenson
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.,European Molecular Biology Laboratory-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Carla P Jones
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Juliet Handsaker
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Giuseppe Gallone
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - Jeremy F McRae
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Elena Prigmore
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Patrick Short
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Mari Niemi
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Joanna Kaplanis
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Elizabeth J Radford
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.,Department of Paediatrics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Nadia Akawi
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Meena Balasubramanian
- Sheffield Clinical Genetics Service, Sheffield Children's NHS Foundation Trust, OPD2, Northern General Hospital, Herries Rd., Sheffield, S5 7AU, UK
| | - John Dean
- Department of Genetics, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Rachel Horton
- Wessex Clinical Genetics Service, G Level, Princess Anne Hospital, Coxford Road, Southampton SO16 5YA, UK
| | - Alice Hulbert
- Cheshire and Merseyside Clinical Genetic Service, Liverpool Women's NHS Foundation Trust, Crown Street, Liverpool L8 7SS, UK
| | - Diana S Johnson
- Sheffield Clinical Genetics Service, Sheffield Children's NHS Foundation Trust, OPD2, Northern General Hospital, Herries Rd., Sheffield, S5 7AU, UK
| | - Katie Johnson
- Department of Clinical Genetics, City Hospital Campus, Hucknall Road, Nottingham NG5 1PB, UK
| | - Dhavendra Kumar
- Institute of Cancer and Genetics, University Hospital of Wales, Cardiff, UK
| | | | - Sarju G Mehta
- Department of Clinical Genetics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Jenny Morton
- Clinical Genetics Unit, Birmingham Women's Hospital, Edgbaston, Birmingham B15 2TG, UK
| | - Michael J Parker
- Sheffield Clinical Genetics Service, Sheffield Children's Hospital, Western Bank, Sheffield S10 2TH, UK
| | - Miranda Splitt
- Northern Genetics Service, Newcastle upon Tyne Hospitals, NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Peter D Turnpenny
- Clinical Genetics, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Pradeep C Vasudevan
- Department of Clinical Genetics, University Hospitals of Leicester NHS Trust, Leicester Royal Infirmary, Leicester LE1 5WW, UK
| | - Michael Wright
- Northern Genetics Service, Newcastle upon Tyne Hospitals, NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Andrew Bassett
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Sebastian S Gerety
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Caroline F Wright
- University of Exeter Medical School, Institute of Biomedical and Clinical Science, Research, Innovation, Learning and Development (RILD), Royal Devon and Exeter Hospital, Barrack Road, Exeter, EX2 5DW, UK
| | - David R FitzPatrick
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK
| | - Helen V Firth
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.,Department of Clinical Genetics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Matthew E Hurles
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Jeffrey C Barrett
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.
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