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1. Copy-number analysis from genome sequencing data of 11,754 rare-disease parent-child trios: A model for identifying autosomal recessive human gene knockouts including a novel gene for autosomal recessive retinopathy

Author

Eric Olinger, Ian J. Wilson, Sarah Orr, Miguel Barroso-Gil, Ruxandra Neatu, Denize Atan, John A. Sayer, John C. Ambrose, Prabhu Arumugam, Roel Bevers, Marta Bleda, Freya Boardman-Pretty, Christopher R. Boustred, Helen Brittain, Mark J. Caulfield, Georgia C. Chan, Greg Elgar, Tom Fowler, Adam Giess, Angela Hamblin, Shirley Henderson, Tim J.P. Hubbard, Rob Jackson, Louise J. Jones, Dalia Kasperaviciute, Melis Kayikci, Athanasios Kousathanas, Lea Lahnstein, Sarah E.A. Leigh, Ivonne U.S. Leong, Javier F. Lopez, Fiona Maleady-Crowe, Meriel McEntagart, Federico Minneci, Loukas Moutsianas, Michael Mueller, Nirupa Murugaesu, Anna C. Need, Peter O’Donovan, Chris A. Odhams, Christine Patch, Mariana Buongermino Pereira, Daniel Perez-Gil, John Pullinger, Tahrima Rahim, Augusto Rendon, Tim Rogers, Kevin Savage, Kushmita Sawant, Richard H. Scott, Afshan Siddiq, Alexander Sieghart, Samuel C. Smith, Alona Sosinsky, Alexander Stuckey, Mélanie Tanguy, Ana Lisa Taylor Tavares, Ellen R.A. Thomas, Simon R. Thompson, Arianna Tucci, Matthew J. Welland, Eleanor Williams, Katarzyna Witkowska, and Suzanne M. Wood

Subjects
CNV analysis, Genome sequencing, NPHP1, Retinopathy, SLC66A1, Genetics, QH426-470, Medicine
Abstract

Purpose: In parent-child trios with genome sequencing data, we investigated inherited biallelic deletions to identify known and novel genetic disorders. Methods: We developed a copy-number variations analysis pipeline based on autosomal genome sequencing read depth of Genomics England 100,000 Genomes Project data from 11,754 parent-child trios and additional 18,875 non-trios. A control cohort of 15,440 cancer patients provided independent deletion frequencies. Results: Autosomal recessive (AR) modeling detected 34 distinct rare deletions that were homozygous in the proband and heterozygous in both parents. These inherited biallelic deletions were only detected in 52 trios. These “knockout” regions included 37 genes, having among them 8 with an Online Mendelian Inheritance in Man AR annotation. Deletions of NPHP1, followed by OTOA, both within segmental duplications, were the only recurrent findings explaining phenotypes in a total of 10 and 3 patients, respectively. Recurrent heterozygous NPHP1 deletions were detected in 0.3%-0.5% of controls. We reviewed “knockout” patients for the remaining 29 genes without disease associations and identified SLC66A1 as a likely novel cause for AR rod-cone dystrophy in 4 families. Conclusion: A tailored copy-number variations analysis of genome sequencing trio data shows that biallelic inherited gene deletions are rare, with NPHP1 biallelic deletions causing nephronophthisis the leading finding. We propose SLC66A1 as a novel cause for AR retinopathy.

Published
2024
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2. Engaged genomic science produces better and fairer outcomes: an engagement framework for engaging and involving participants, patients and publics in genomics research and healthcare implementation [version 1; peer review: 2 approved]

Author

Joel T. Minion, Richard Milne, Stephanie Mulrine, Mogomotsi Matshaba, Rosalyn Ryan, Christine Patch, Fiona Maleady-Crowe, Jantina de Vries, Judit Kumuthini, Anna Middleton, William Viney, Madeleine J. Murtagh, Mavis Machirori, Mwenza T. Blell, Clara L. Gaff, Edward S. Dove, Megan Doerr, Jillian Hastings Ward, Audrey Duncanson, Calvin W. L. Ho, Rachele Hendricks-Sturrup, Yann Joly, Amber Johns, Keiko Katsui, and Kazuto Kato

Subjects
Engagement and involvement, Genomics, Trust, Equality, Diversity and Inclusion, Fairness, Reciprocity, Collaboration, Global, Quality., eng, Medicine, Science
Abstract

Genomic science is increasingly central to the provision of health care. Producing and applying robust genomics knowledge is a complex endeavour in which no single individual, profession, discipline or community holds all the answers. Engagement and involvement of diverse stakeholders can support alignment of societal and scientific interests, understandings and perspectives and promises better science and fairer outcomes. In this context we argue for F.A.I.R.E.R. data and data use that is Findable, Accessible, Interoperable, Reproducible, Equitable and Responsible. Yet there is a paucity of international guidance on how to engage publics, patients and participants in genomics. To support meaningful and effective engagement and involvement we developed an Engagement Framework for involving and engaging participants, patients and publics in genomics research and health implementation. The Engagement Framework is intended to support all those working in genomics research, medicine, and healthcare to deliberatively consider approaches to participant, patient and public engagement and involvement in their work. Through a series of questions, the Engagement Framework prompts new ways of thinking about the aims and purposes of engagement, and support reflection on the strengths, limitations, likely outcomes and impacts of choosing different approaches to engagement. To guide genomics activities, we describe four themes and associated questions for deliberative reflection: (i) fairness; (ii) context; (iii) heterogeneity, and (iv) recognising tensions and conflict. The four key components in the Engagement provide a framework to assist those involved in genomics to reflect on decisions they make for their initiatives, including the strategies selected, the participant, patient and public stakeholders engaged, and the anticipated goals. The Engagement Framework is one step in an actively evolving process of building genomics research and implementation cultures which foster responsible leadership and are attentive to objectives which increase equality, diversity and inclusion in participation and outcomes.

Published
2021
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3. Potential for diagnosis of infectious disease from the 100,000 Genomes Project Metagenomic Dataset: Recommendations for reporting results [version 1; peer review: 2 approved]

Author

Gkikas Magiorkinis, Philippa C. Matthews, Susan E. Wallace, Katie Jeffery, Kevin Dunbar, Richard Tedder, Jean L. Mbisa, Bernadette Hannigan, Effy Vayena, Peter Simmonds, Daniel S. Brewer, Abraham Gihawi, Ghanasyam Rallapalli, Lea Lahnstein, Tom Fowler, Christine Patch, Fiona Maleady-Crowe, Anneke Lucassen, and Colin Cooper

Subjects
Medicine, Science
Abstract

The identification of microbiological infection is usually a diagnostic investigation, a complex process that is firstly initiated by clinical suspicion. With the emergence of high-throughput sequencing (HTS) technologies, metagenomic analysis has unveiled the power to identify microbial DNA/RNA from a diverse range of clinical samples (1). Metagenomic analysis of whole human genomes at the clinical/research interface bypasses the steps of clinical scrutiny and targeted testing and has the potential to generate unexpected findings relating to infectious and sometimes transmissible disease. There is no doubt that microbial findings that may have a significant impact on a patient’s treatment and their close contacts should be reported to those with clinical responsibility for the sample-donating patient. There are no clear recommendations on how such findings that are incidental, or outside the original investigation, should be handled. Here we aim to provide an informed protocol for the management of incidental microbial findings as part of the 100,000 Genomes Project which may have broader application in this emerging field. As with any other clinical information, we aim to prioritise the reporting of data that are most likely to be of benefit to the patient and their close contacts. We also set out to minimize risks, costs and potential anxiety associated with the reporting of results that are unlikely to be of clinical significance. Our recommendations aim to support the practice of microbial metagenomics by providing a simplified pathway that can be applied to reporting the identification of potential pathogens from metagenomic datasets. Given that the ambition for UK sequenced human genomes over the next 5 years has been set to reach 5 million and the field of metagenomics is rapidly evolving, the guidance will be regularly reviewed and will likely adapt over time as experience develops.

Published
2019
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4. Late-Onset Autosomal Dominant Macular Degeneration Caused by Deletion of the CRX Gene

Author

Samar Yahya, Claire E.L. Smith, James A. Poulter, Martin McKibbin, Gavin Arno, Jamie Ellingford, Kati Kämpjärvi, Muhammad I. Khan, Frans P.M. Cremers, Alison J. Hardcastle, Bruce Castle, David H.W. Steel, Andrew R. Webster, Graeme C. Black, Mohammed E. El-Asrag, Manir Ali, Carmel Toomes, Chris F. Inglehearn, Stuart Ingram, Rachel Taylor, Forbes Manson, Panagiotis Sergouniotis, Nikolas Pontikos, Michael Cheetham, Alessia Fiorentino, Susan Downes, Jing Yu, Stephanie Halford, Suzanne Broadgate, Veronica van Heyningen, John C. Ambrose, Prabhu Arumugam, Roel Bevers, Marta Bleda, Freya Boardman-Pretty, Christopher R. Boustred, Helen Brittain, Mark J. Caulfield, Georgia C. Chan, Greg Elgar, Tom Fowler, Adam Giess, Angela Hamblin, Shirley Henderson, Tim J.P. Hubbard, Rob Jackson, Louise J. Jones, Dalia Kasperaviciute, Melis Kayikci, Athanasios Kousathanas, Lea Lahnstein, Sarah E.A. Leigh, Ivonne U.S. Leong, Javier F. Lopez, Fiona Maleady-Crowe, Meriel McEntagart, Federico Minneci, Loukas Moutsianas, Michael Mueller, Nirupa Murugaesu, Anna C. Need, Peter O’Donovan, Chris A. Odhams, Christine Patch, Mariana Buongermino Pereira, Daniel Perez-Gil, John Pullinger, Tahrima Rahim, Augusto Rendon, Tim Rogers, Kevin Savage, Kushmita Sawant, Richard H. Scott, Afshan Siddiq, Alexander Sieghart, Samuel C. Smith, Alona Sosinsky, Alexander Stuckey, Mélanie Tanguy, Ana Lisa Taylor Tavares, Ellen R.A. Thomas, Simon R. Thompson, Arianna Tucci, Matthew J. Welland, Eleanor Williams, Katarzyna Witkowska, and Suzanne M. Wood

Subjects
Ophthalmology, All institutes and research themes of the Radboud University Medical Center, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12]
Abstract

To characterize the phenotype observed in a case series with macular disease and determine the cause.Multicenter case series.Six families (7 patients) with sporadic or multiplex macular disease with onset at 20 to 78 years, and 1 patient with age-related macular degeneration.Patients underwent ophthalmic examination; exome, genome, or targeted sequencing; and/or polymerase chain reaction (PCR) amplification of the breakpoint, followed by cloning and Sanger sequencing or direct Sanger sequencing.Clinical phenotypes, genomic findings, and a hypothesis explaining the mechanism underlying disease in these patients.All 8 cases carried the same deletion encompassing the genes TPRX1, CRX, and SULT2A1, which was absent from 382 control individuals screened by breakpoint PCR and 13 096 Clinical Genetics patients with a range of other inherited conditions screened by array comparative genomic hybridization. Microsatellite genotypes showed that these 7 families are not closely related, but genotypes immediately adjacent to the deletion breakpoints suggest they may share a distant common ancestor.Previous studies had found that carriers for a single defective CRX allele that was predicted to produce no functional CRX protein had a normal ocular phenotype. Here, we show that CRX whole-gene deletion in fact does cause a dominant late-onset macular disease.

Published
2023
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5. Whole genome sequencing for the diagnosis of neurological repeat expansion disorders in the UK: a retrospective diagnostic accuracy and prospective clinical validation study

Author

Kristina Ibañez, James Polke, R Tanner Hagelstrom, Egor Dolzhenko, Dorota Pasko, Ellen Rachel Amy Thomas, Louise C Daugherty, Dalia Kasperaviciute, Katherine R Smith, Zandra C Deans, Sue Hill, Tom Fowler, Richard H Scott, John Hardy, Patrick F Chinnery, Henry Houlden, Augusto Rendon, Mark J Caulfield, Michael A Eberle, Ryan J Taft, Arianna Tucci, Ellen M McDonagh, Antonio Rueda, Dimitris Polychronopoulos, Georgia Chan, Heather Angus-Leppan, Kailash P Bhatia, James E Davison, Richard Festenstein, Pietro Fratta, Paola Giunti, Robin Howard, Laxmi Venkata, Matilde Laurá, Meriel McEntagart, Lara Menzies, Huw Morris, Mary M Reilly, Robert Robinson, Elisabeth Rosser, Francesca Faravelli, Anette Schrag, Jonathan M Schott, Thomas T Warner, Nicholas W Wood, David Bourn, Kelly Eggleton, Robyn Labrum, Philip Twiss, Stephen Abbs, Liana Santos, Ghareesa Almheiri, Isabella Sheikh, Jana Vandrovcova, Christine Patch, Ana Lisa Taylor Tavares, Zerin Hyder, Anna Need, Helen Brittain, Emma Baple, Loukas Moutsianas, Viraj Deshpande, Denise L Perry, Subramanian S. Ajay, Aditi Chawla, Vani Rajan, Kathryn Oprych, Angela Douglas, Gill Wilson, Sian Ellard, I Karen Temple, Andrew Mumford, Dom McMullan, Kikkeri Naresh, Frances A Flinter, Jenny C Taylor, Lynn Greenhalgh, William Newman, Paul Brennan, John A Sayer, F Lucy Raymond, Lyn S Chitty, John C. Ambrose, Prabhu Arumugam, Marta Bleda, Freya Boardman-Pretty, Jeanne M. Boissiere, Christopher R. Boustred, Clare E.H. Craig, Anna de Burca, Andrew Devereau, Greg Elgar, Rebecca E. Foulger, Pedro Furió-Tarí, Joanne Hackett, Dina Halai, Angela Hamblin, Shirley Henderson, James Holman, Tim J.P. Hubbard, Rob Jackson, Louise J. Jones, Melis Kayikci, Lea Lahnstein, Kay Lawson, Sarah E.A. Leigh, Ivonne U.S. Leong, Javier F. Lopez, Fiona Maleady-Crowe, Joanne Mason, Michael Mueller, Nirupa Murugaesu, Chris A. Odhams, Daniel Perez-Gil, John Pullinger, Tahrima Rahim, Pablo Riesgo-Ferreiro, Tim Rogers, Mina Ryten, Kevin Savage, Kushmita Sawant, Afshan Siddiq, Alexander Sieghart, Damian Smedley, Alona Sosinsky, William Spooner, Helen E. Stevens, Alexander Stuckey, Razvan Sultana, Simon R. Thompson, Carolyn Tregidgo, Emma Walsh, Sarah A. Watters, Matthew J. Welland, Eleanor Williams, Katarzyna Witkowska, Suzanne M. Wood, and Magdalena Zarowiecki

Subjects
Fragile X Mental Retardation Protein, DNA Repeat Expansion, Whole Genome Sequencing, Whole Genome Sequencing/methods, Humans, Neurology (clinical), Prospective Studies, Child, Fragile X Mental Retardation Protein/genetics, State Medicine, United Kingdom, Retrospective Studies
Abstract

BACKGROUND: Repeat expansion disorders affect about 1 in 3000 individuals and are clinically heterogeneous diseases caused by expansions of short tandem DNA repeats. Genetic testing is often locus-specific, resulting in underdiagnosis of people who have atypical clinical presentations, especially in paediatric patients without a previous positive family history. Whole genome sequencing is increasingly used as a first-line test for other rare genetic disorders, and we aimed to assess its performance in the diagnosis of patients with neurological repeat expansion disorders.METHODS: We retrospectively assessed the diagnostic accuracy of whole genome sequencing to detect the most common repeat expansion loci associated with neurological outcomes (AR, ATN1, ATXN1, ATXN2, ATXN3, ATXN7, C9orf72, CACNA1A, DMPK, FMR1, FXN, HTT, and TBP) using samples obtained within the National Health Service in England from patients who were suspected of having neurological disorders; previous PCR test results were used as the reference standard. The clinical accuracy of whole genome sequencing to detect repeat expansions was prospectively examined in previously genetically tested and undiagnosed patients recruited in 2013-17 to the 100 000 Genomes Project in the UK, who were suspected of having a genetic neurological disorder (familial or early-onset forms of ataxia, neuropathy, spastic paraplegia, dementia, motor neuron disease, parkinsonian movement disorders, intellectual disability, or neuromuscular disorders). If a repeat expansion call was made using whole genome sequencing, PCR was used to confirm the result.FINDINGS: The diagnostic accuracy of whole genome sequencing to detect repeat expansions was evaluated against 793 PCR tests previously performed within the NHS from 404 patients. Whole genome sequencing correctly classified 215 of 221 expanded alleles and 1316 of 1321 non-expanded alleles, showing 97·3% sensitivity (95% CI 94·2-99·0) and 99·6% specificity (99·1-99·9) across the 13 disease-associated loci when compared with PCR test results. In samples from 11 631 patients in the 100 000 Genomes Project, whole genome sequencing identified 81 repeat expansions, which were also tested by PCR: 68 were confirmed as repeat expansions in the full pathogenic range, 11 were non-pathogenic intermediate expansions or premutations, and two were non-expanded repeats (16% false discovery rate).INTERPRETATION: In our study, whole genome sequencing for the detection of repeat expansions showed high sensitivity and specificity, and it led to identification of neurological repeat expansion disorders in previously undiagnosed patients. These findings support implementation of whole genome sequencing in clinical laboratories for diagnosis of patients who have a neurological presentation consistent with a repeat expansion disorder.FUNDING: Medical Research Council, Department of Health and Social Care, National Health Service England, National Institute for Health Research, and Illumina.

Published
2022
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6. Author response for 'Biallelic TMEM260 variants cause Truncus Arteriosus, with or without renal defects'

Author

null Alistair T. Pagnamenta, null Adam Jackson, null Rahat Perveen, null Glenda Beaman, null Gemma Petts, null Asheeta Gupta, null Zerin Hyder, null Brian Hon‐Yin Chung, null Anita Sik‐Yau Kan, null Ka Wang Cheung, null Wilhelmina S. Kerstjens‐Frederikse, null Kristin M. Abbott, null John C. Ambrose, null Prabhu Arumugam, null Roel Bevers, null Marta Bleda, null Freya Boardman‐Pretty, null Christopher R. Boustred, null Helen Brittain, null Mark J. Caulfield, null Georgia C. Chan, null Greg Elgar, null Tom Fowler, null Adam Giess, null Angela Hamblin, null Shirley Henderson, null Tim J. P. Hubbard, null Rob Jackson, null Louise J. Jones, null Dalia Kasperaviciute, null Melis Kayikci, null Athanasios Kousathanas, null Lea Lahnstein, null Sarah E. A. Leigh, null Ivonne U. S. Leong, null Javier F. Lopez, null Fiona Maleady‐Crowe, null Meriel McEntagart, null Federico Minneci, null Loukas Moutsianas, null Michael Mueller, null Nirupa Murugaesu, null Anna C. Need, null Peter O′Donovan, null Chris A. Odhams, null Christine Patch, null Mariana Buongermino Pereira, null Daniel Perez‐Gil, null John Pullinger, null Tahrima Rahim, null Augusto Rendon, null Tim Rogers, null Kevin Savage, null Kushmita Sawant, null Richard H. Scott, null Afshan Siddiq, null Alexander Sieghart, null Samuel C. Smith, null Alona Sosinsky, null Alexander Stuckey, null Mélanie Tanguy, null Ana Lisa Taylor Tavares, null Ellen R. A. Thomas, null Simon R. Thompson, null Arianna Tucci, null Matthew J. Welland, null Eleanor Williams, null Katarzyna Witkowska, null Suzanne M. Wood, null Orly Elpeleg, null Jenny C. Taylor, null Siddharth Banka, null Asaf Ta‐Shma, and null Genomics England Research Consortium

Subjects
medicine.medical_specialty, business.industry, Internal medicine, Cardiology, medicine, business, Truncus arteriosus
Published
2021
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7. Whole genome sequencing identifies multiple loci for critical illness caused by COVID-19

Author

Clark D Russell, Erola Pairo-Castineira, Malcolm G Semple, James F. Wilson, Jian Yang, andMe Investigators, Seán Keating, Yang Wu, Tala Zainy, Greg Elgar, Angie Fawkes, Lucija Klaric, Julian C. Knight, Paul Elliott, Richard H Scott, Charlotte Summers, David M. Maslove, Daniel F. McAuley, Marie Zechner, Sally Donovan, J Kenneth Baillie, Athanasios Kousathanas, Daniel Rhodes, Nicholas J. Parkinson, Veronique Vitart, Susan P. Walker, Peter Horby, Fiona Griffiths, Bo Wang, Peter J. M. Openshaw, Linda Todd, Andy Law, Sara Clohisey, Tom Fowler, Augusto Rendon, Alex Stuckey, Christopher A Odhams, Andrew D. Bretherick, Hugh Montgomery, Katherine S. Elliott, Shahla Salehi, Jonathan E Millar, Loukas Moutsianas, Charles J. Hinds, Kathy Rowan, Mark J. Caulfield, Fiona Maleady-Crowe, Timothy S. Walsh, Prabhu Arumugam, Georgia Chan, Lee Murphy, Afshan Siddiq, GenoMICC Investigators, Tomas Malinauskas, Konrad Rawlik, Kirstie Morrice, Chris P. Ponting, Alistair Nichol, Wilna Oosthuyzen, Manu Shankar-Hari, and Peter Goddard

Subjects
Whole genome sequencing, Genetics, education.field_of_study, Immune system, Antigen, Genetic variation, Population, Disease, Biology, Lung injury, education, Gene
Abstract

Critical illness in COVID-19 is caused by inflammatory lung injury, mediated by the host immune system. We and others have shown that host genetic variation influences the development of illness requiring critical care1or hospitalisation2;3;4following SARS-Co-V2 infection. The GenOMICC (Genetics of Mortality in Critical Care) study recruits critically-ill cases and compares their genomes with population controls in order to find underlying disease mechanisms.Here, we use whole genome sequencing and statistical fine mapping in 7,491 critically-ill cases compared with 48,400 population controls to discover and replicate 22 independent variants that significantly predispose to life-threatening COVID-19. We identify 15 new independent associations with critical COVID-19, including variants within genes involved in interferon signalling (IL10RB, PLSCR1), leucocyte differentiation (BCL11A), and blood type antigen secretor status (FUT2). Using transcriptome-wide association and colocalisation to infer the effect of gene expression on disease severity, we find evidence implicating expression of multiple genes, including reduced expression of a membrane flippase (ATP11A), and increased mucin expression (MUC1), in critical disease.We show that comparison between critically-ill cases and population controls is highly efficient for genetic association analysis and enables detection of therapeutically-relevant mechanisms of disease. Therapeutic predictions arising from these findings require testing in clinical trials.

Published
2021
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8. Evaluating the performance of a clinical genome sequencing program for diagnosis of rare genetic disease, seen through the lens of craniosynostosis

Author

Zerin Hyder, Eduardo Calpena, Yang Pei, Rebecca S. Tooze, Helen Brittain, Stephen R.F. Twigg, Deirdre Cilliers, Jenny E.V. Morton, Emma McCann, Astrid Weber, Louise C. Wilson, Andrew G.L. Douglas, Ruth McGowan, Anna Need, Andrew Bond, Ana Lisa Taylor Tavares, Ellen R.A. Thomas, John C. Ambrose, Prabhu Arumugam, Roel Bevers, Marta Bleda, Christopher R. Boustred, Georgia C. Chan, Greg Elgar, Tom Fowler, Adam Giess, Angela Hamblin, Shirley Henderson, Tim J.P. Hubbard, Rob Jackson, Louise J. Jones, Dalia Kasperaviciute, Melis Kayikci, Athanasios Kousathanas, Lea Lahnstein, Sarah E.A. Leigh, Ivonne U.S. Leong, Javier F. Lopez, Fiona Maleady-Crowe, Meriel McEntagart, Federico Minneci, Loukas Moutsianas, Michael Mueller, Nirupa Murugaesu, Peter O’Donovan, Chris A. Odhams, Christine Patch, Mariana Buongermino Pereira, Daniel Perez-Gil, John Pullinger, Tahrima Rahim, Augusto Rendon, Tim Rogers, Kevin Savage, Kushmita Sawant, Afshan Siddiq, Alexander Sieghart, Samuel C. Smith, Alona Sosinsky, Alexander Stuckey, Mélanie Tanguy, Simon R. Thompson, Arianna Tucci, Matthew J. Welland, Eleanor Williams, Katarzyna Witkowska, Suzanne M. Wood, Susan L. Hill, Zandra C. Deans, Freya Boardman-Pretty, Mark Caulfield, Richard H. Scott, and Andrew O.M. Wilkie

Subjects
Proband, medicine.diagnostic_test, Base Sequence, business.industry, Chromosome Mapping, Genomics, Disease, Bioinformatics, medicine.disease, Genome, DNA sequencing, Article, Craniosynostosis, Craniosynostoses, Rare Diseases, medicine, Humans, Genetic Testing, Medical diagnosis, business, Genetics (clinical), Genetic testing
Abstract

PurposeGenome sequencing (GS) for diagnosis of rare genetic disease is being introduced into the clinic, but the complexity of the data poses challenges for developing pipelines with high diagnostic sensitivity. We evaluated the performance of the Genomics England 100,000 Genomes Project (100kGP) panel-based pipelines, using craniosynostosis as a test disease.MethodsGS data from 114 probands with craniosynostosis and their relatives (314 samples), negative on routine genetic testing, were scrutinized by a specialized research team, and diagnoses compared with those made by 100kGP.ResultsSixteen likely pathogenic/pathogenic variants were identified by 100kGP. Eighteen additional likely pathogenic/pathogenic variants were identified by the research team, indicating that for craniosynostosis, 100kGP panels had a diagnostic sensitivity of only 47%. Measures that could have augmented diagnoses were improved calling of existing panel genes (+18% sensitivity), review of updated panels (+12%), comprehensive analysis of de novo small variants (+29%), and copy-number/structural variants (+9%). Recent NHS England recommendations that partially incorporate these measures should achieve 85% overall sensitivity (+38%).ConclusionGS identified likely pathogenic/pathogenic variants in 29.8% of previously undiagnosed patients with craniosynostosis. This demonstrates the value of research analysis and the importance of continually improving algorithms to maximize the potential of clinical GS.

Published
2021
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9. Pathogenic huntingtin repeat expansions in patients with frontotemporal dementia and amyotrophic lateral sclerosis

Author

Ramita Dewan, Ruth Chia, Jinhui Ding, Richard A. Hickman, Thor D. Stein, Yevgeniya Abramzon, Sarah Ahmed, Marya S. Sabir, Makayla K. Portley, Arianna Tucci, Kristina Ibáñez, F.N.U. Shankaracharya, Pamela Keagle, Giacomina Rossi, Paola Caroppo, Fabrizio Tagliavini, Maria L. Waldo, Per M. Johansson, Christer F. Nilsson, James B. Rowe, Luisa Benussi, Giuliano Binetti, Roberta Ghidoni, Edwin Jabbari, Coralie Viollet, Jonathan D. Glass, Andrew B. Singleton, Vincenzo Silani, Owen A. Ross, Mina Ryten, Ali Torkamani, Toshiko Tanaka, Luigi Ferrucci, Susan M. Resnick, Stuart Pickering-Brown, Christopher B. Brady, Neil Kowal, John A. Hardy, Vivianna Van Deerlin, Jean Paul Vonsattel, Matthew B. Harms, Huw R. Morris, Raffaele Ferrari, John E. Landers, Adriano Chiò, J. Raphael Gibbs, Clifton L. Dalgard, Sonja W. Scholz, Bryan J. Traynor, Adelani Adeleye, Camille Alba, Dagmar Bacikova, Daniel N. Hupalo, Elisa McGrath Martinez, Harvey B. Pollard, Gauthaman Sukumar, Anthony R. Soltis, Meila Tuck, Xijun Zhang, Matthew D. Wilkerson, Bradley N. Smith, Nicola Ticozzi, Claudia Fallini, Athina Soragia Gkazi, Simon D. Topp, Jason Kost, Emma L. Scotter, Kevin P. Kenna, Jack W. Miller, Cinzia Tiloca, Caroline Vance, Eric W. Danielson, Claire Troakes, Claudia Colombrita, Safa Al-Sarraj, Elizabeth A. Lewis, Andrew King, Daniela Calini, Viviana Pensato, Barbara Castellotti, Jacqueline de Belleroche, Frank Baas, Anneloor L.M.A. ten Asbroek, Peter C. Sapp, Diane McKenna-Yasek, Russell L. McLaughlin, Meraida Polak, Seneshaw Asress, Jesús Esteban-Pérez, José Luis Muñoz-Blanco, Zorica Stevic, Sandra D’Alfonso, Letizia Mazzini, Giacomo P. Comi, Roberto Del Bo, Mauro Ceroni, Stella Gagliardi, Giorgia Querin, Cinzia Bertolin, Wouter van Rheenen, Frank P. Diekstra, Rosa Rademakers, Marka van Blitterswijk, Kevin B. Boylan, Giuseppe Lauria, Stefano Duga, Stefania Corti, Cristina Cereda, Lucia Corrado, Gianni Sorarù, Kelly L. Williams, Garth A. Nicholson, Ian P. Blair, Claire Leblond-Manry, Guy A. Rouleau, Orla Hardiman, Karen E. Morrison, Jan H. Veldink, Leonard H. van den Berg, Ammar Al-Chalabi, Hardev Pall, Pamela J. Shaw, Martin R. Turner, Kevin Talbot, Franco Taroni, Alberto García-Redondo, Zheyang Wu, Cinzia Gellera, Antonia Ratti, Robert H. Brown, Christopher E. Shaw, John C. Ambrose, Prabhu Arumugam, Emma L. Baple, Marta Bleda, Freya Boardman-Pretty, Jeanne M. Boissiere, Christopher R. Boustred, H. Brittain, Mark J. Caulfield, Georgia C. Chan, Clare E.H. Craig, Louise C. Daugherty, Anna de Burca, Andrew Devereau, Greg Elgar, Rebecca E. Foulger, Tom Fowler, Pedro Furió-Tarí, Joanne M. Hackett, Dina Halai, Angela Hamblin, Shirley Henderson, James E. Holman, Tim J.P. Hubbard, Rob Jackson, Louise J. Jones, Dalia Kasperaviciute, Melis Kayikci, Lea Lahnstein, Kay Lawson, Sarah E.A. Leigh, Ivonne U.S. Leong, Javier F. Lopez, Fiona Maleady-Crowe, Joanne Mason, Ellen M. McDonagh, Loukas Moutsianas, Michael Mueller, Nirupa Murugaesu, Anna C. Need, Chris A. Odhams, Christine Patch, Daniel Perez-Gil, Dimitris Polychronopoulos, John Pullinger, Tahrima Rahim, Augusto Rendon, Pablo Riesgo-Ferreiro, Tim Rogers, Kevin Savage, Kushmita Sawant, Richard H. Scott, Afshan Siddiq, Alexander Sieghart, Damian Smedley, Katherine R. Smith, Alona Sosinsky, William Spooner, Helen E. Stevens, Alexander Stuckey, Razvan Sultana, Ellen R.A. Thomas, Simon R. Thompson, Carolyn Tregidgo, Emma Walsh, Sarah A. Watters, Matthew J. Welland, Eleanor Williams, Katarzyna Witkowska, Suzanne M. Wood, Magdalena Zarowiecki, Sampath Arepalli, Pavan Auluck, Robert H. Baloh, Robert Bowser, Alexis Brice, James Broach, William Camu, John Cooper-Knock, Philippe Corcia, Carsten Drepper, Vivian E. Drory, Travis L. Dunckley, Faraz Faghri, Jennifer Farren, Eva Feldman, Mary Kay Floeter, Pietro Fratta, Glenn Gerhard, Summer B. Gibson, Stephen A. Goutman, Terry D. Heiman-Patterson, Dena G. Hernandez, Ben Hoover, Lilja Jansson, Freya Kamel, Janine Kirby, Neil W. Kowall, Hannu Laaksovirta, Francesco Landi, Isabelle Le Ber, Serge Lumbroso, Daniel JL. MacGowan, Nicholas J. Maragakis, Gabriele Mora, Kevin Mouzat, Liisa Myllykangas, Mike A. Nalls, Richard W. Orrell, Lyle W. Ostrow, Roger Pamphlett, Erik Pioro, Stefan M. Pulst, John M. Ravits, Alan E. Renton, Wim Robberecht, Ian Robey, Ekaterina Rogaeva, Jeffrey D. Rothstein, Michael Sendtner, Katie C. Sidle, Zachary Simmons, David J. Stone, Pentti J. Tienari, John Q. Trojanowski, Juan C. Troncoso, Miko Valori, Philip Van Damme, Ludo Van Den Bosch, Lorne Zinman, Diego Albani, Barbara Borroni, Alessandro Padovani, Amalia Bruni, Jordi Clarimon, Oriol Dols-Icardo, Ignacio Illán-Gala, Alberto Lleó, Adrian Danek, Daniela Galimberti, Elio Scarpini, Maria Serpente, Caroline Graff, Huei-Hsin Chiang, Behzad Khoshnood, Linn Öijerstedt, Christopher M. Morris, Benedetta Nacmias, Sandro Sorbi, Jorgen E. Nielsen, Lynne E. Hjermind, Valeria Novelli, Annibale A. Puca, Pau Pastor, Ignacio Alvarez, Monica Diez-Fairen, Miquel Aguilar, Robert Perneczky, Janine Diehl-Schimd, Mina Rossi, Agustin Ruiz, Mercè Boada, Isabel Hernández, Sonia Moreno-Grau, Johannes C. Schlachetzki, Dag Aarsland, Marilyn S. Albert, Johannes Attems, Matthew J. Barrett, Thomas G. Beach, Lynn M. Bekris, David A. Bennett, Lilah M. Besser, Eileen H. Bigio, Sandra E. Black, Bradley F. Boeve, Ryan C. Bohannan, Francesca Brett, Maura Brunetti, Chad A. Caraway, Jose-Alberto Palma, Andrea Calvo, Antonio Canosa, Dennis Dickson, Charles Duyckaerts, Kelley Faber, Tanis Ferman, Margaret E. Flanagan, Gianluca Floris, Tatiana M. Foroud, Juan Fortea, Ziv Gan-Or, Steve Gentleman, Bernardino Ghetti, Jesse Raphael Gibbs, Alison Goate, David Goldstein, Isabel González-Aramburu, Neill R. Graff-Radford, Angela K. Hodges, Heng-Chen Hu, Daniel Hupalo, Jon Infante, Alex Iranzo, Scott M. Kaiser, Horacio Kaufmann, Julia Keith, Ronald C. Kim, Gregory Klein, Rejko Krüger, Walter Kukull, Amanda Kuzma, Carmen Lage, Suzanne Lesage, James B. Leverenz, Giancarlo Logroscino, Grisel Lopez, Seth Love, Qinwen Mao, Maria Jose Marti, Elisa Martinez-McGrath, Mario Masellis, Eliezer Masliah, Patrick May, Ian McKeith, Marek-Marsel Mesulam, Edwin S. Monuki, Kathy L. Newell, Lucy Norcliffe-Kaufmann, Laura Palmer, Matthew Perkins, Olga Pletnikova, Laura Molina-Porcel, Regina H. Reynolds, Eloy Rodríguez-Rodríguez, Jonathan D. Rohrer, Pascual Sanchez-Juan, Clemens R. Scherzer, Geidy E. Serrano, Vikram Shakkottai, Ellen Sidransky, Nahid Tayebi, Alan J. Thomas, Bension S. Tilley, Ronald L. Walton, Randy Woltjer, Zbigniew K. Wszolek, Georgia Xiromerisiou, Chiara Zecca, Hemali Phatnani, Justin Kwan, Dhruv Sareen, James R. Broach, Ximena Arcila-Londono, Edward B. Lee, Neil A. Shneider, Ernest Fraenkel, Noah Zaitlen, James D. Berry, Andrea Malaspina, Gregory A. Cox, Leslie M. Thompson, Steve Finkbeiner, Efthimios Dardiotis, Timothy M. Miller, Siddharthan Chandran, Suvankar Pal, Eran Hornstein, Daniel J. MacGowan, Terry Heiman-Patterson, Molly G. Hammell, Nikolaos.A. Patsopoulos, Oleg Butovsky, Joshua Dubnau, Avindra Nath, Matt Harms, Eleonora Aronica, Mary Poss, Jennifer Phillips-Cremins, John Crary, Nazem Atassi, Dale J. Lange, Darius J. Adams, Leonidas Stefanis, Marc Gotkine, Suma Babu, Towfique Raj, Sabrina Paganoni, Ophir Shalem, Colin Smith, Bin Zhang, Brent Harris, Iris Broce, Vivian Drory, John Ravits, Corey McMillan, Vilas Menon, Lani Wu, Steven Altschuler, Khaled Amar, Neil Archibald, Oliver Bandmann, Erica Capps, Alistair Church, Jan Coebergh, Alyssa Costantini, Peter Critchley, Boyd CP. Ghosh, Michele T.M. Hu, Christopher Kobylecki, P. Nigel Leigh, Carl Mann, Luke A. Massey, Uma Nath, Nicola Pavese, Dominic Paviour, Jagdish Sharma, Jenny Vaughan, HUS Neurocenter, Neurologian yksikkö, Department of Neurosciences, Clinicum, Pentti Tienari / Principal Investigator, Parkinson's UK, Human Genetics, ARD - Amsterdam Reproduction and Development, ANS - Complex Trait Genetics, Pathology, ANS - Cellular & Molecular Mechanisms, AII - Inflammatory diseases, Universidad de Cantabria, Rowe, James [0000-0001-7216-8679], and Apollo - University of Cambridge Repository

Subjects
0301 basic medicine, Huntington's Disease, Pathology, amyotrophic lateral sclerosis, Huntingtin, Neurology, 1702 Cognitive Sciences, International ALS/FTD Genomics Consortium, Neurodegenerative, frontotemporal dementia, 3124 Neurology and psychiatry, 0302 clinical medicine, Medicine, 2.1 Biological and endogenous factors, Psychology, Amyotrophic lateral sclerosis, Aetiology, Alzheimer's Disease Related Dementias (ADRD), NYGC ALS Consortium, Huntingtin Protein, DNA Repeat Expansion, General Neuroscience, Frontotemporal Dementia (FTD), International FTD Genetics Consortium, whole-genome sequencing, Frontotemporal Dementia, Neurological, Cognitive Sciences, Lewy body dementia, huntingtin, repeat expansions, Amyotrophic Lateral Sclerosis, Humans, Mutation, Whole Genome Sequencing, Frontotemporal dementia, Huntington’s disease, medicine.medical_specialty, congenital, hereditary, and neonatal diseases and abnormalities, FALS Sequencing Consortium, Article, 03 medical and health sciences, Atrophy, Rare Diseases, American Genome Center, Clinical Research, mental disorders, Genetics, Acquired Cognitive Impairment, Dementia, PROSPECT Consortium, Neurology & Neurosurgery, Lewy body, business.industry, International LBD Genomics Consortium, Neurosciences, 3112 Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), nutritional and metabolic diseases, medicine.disease, Brain Disorders, nervous system diseases, 030104 developmental biology, Genomics England Research Consortium, 1701 Psychology, ALS, business, 1109 Neurosciences, 030217 neurology & neurosurgery
Abstract

Hannu Laaksovirta konsortion jäsenenä. The Genomics England Research Consortium, The International ALS/FTD Genomics Consortium (iAFGC), The International FTD Genetics Consortium (IFGC), The International LBD Genomics Consortium (iLBDGC), The NYGC ALS Consortium, The PROSPECT Consortium,17 James B. Rowe,17 Luisa Benussi,18 Giuliano Binetti,18,19 Roberta Ghidoni,18 Edwin Jabbari,20,21 Coralie Viollet,22 Jonathan D. Glass,23 Andrew B. Singleton,24 Vincenzo Silani,25,26 Owen A. Ross,27 Mina Ryten,8,28,29 Ali Torkamani,30 Toshiko Tanaka,31 Luigi Ferrucci,31 Susan M. Resnick,32 We examined the role of repeat expansions in the pathogenesis of frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) by analyzing whole-genome sequence data from 2,442 FTD/ALS patients, 2,599 Lewy body dementia (LBD) patients, and 3,158 neurologically healthy subjects. Pathogenic expansions (range, 40?64 CAG repeats) in the huntingtin (HTT) gene were found in three (0.12%) patients diagnosed with pure FTD/ALS syndromes but were not present in the LBD or healthy cohorts. We replicated our findings in an independent collection of 3,674 FTD/ALS patients. Postmortem evaluations of two patients revealed the classical TDP-43 pathology of FTD/ALS, as well as huntingtin-positive, ubiquitin-positive aggregates in the frontal cortex. The neostriatal atrophy that pathologically defines Huntington?s disease was absent in both cases. Our findings reveal an etiological relationship between HTT repeat expansions and FTD/ALS syndromes and indicate that genetic screening of FTD/ALS patients for HTT repeat expansions should be considered. We examined the role of repeat expansions in the pathogenesis of frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) by analyzing whole-genome sequence data from 2,442 FTD/ALS patients, 2,599 Lewy body dementia (LBD) patients, and 3,158 neurologically healthy subjects. Pathogenic expansions (range, 40?64 CAG repeats) in the huntingtin (HTT) gene were found in three (0.12%) patients diagnosed with pure FTD/ALS syndromes but were not present in the LBD or healthy cohorts. We replicated our findings in an independent collection of 3,674 FTD/ALS patients. Postmortem evaluations of two patients revealed the classical TDP-43 pathology of FTD/ALS, as well as huntingtin-positive, ubiquitin-positive aggregates in the frontal cortex. The neostriatal atrophy that pathologically defines Huntington?s disease was absent in both cases. Our findings reveal an etiological relationship between HTT repeat expansions and FTD/ALS syndromes and indicate that genetic screening of FTD/ALS patients for HTT repeat expansions should be considered.

Published
2020
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10. Engaged genomic science produces better and fairer outcomes: an engagement framework for engaging and involving participants, patients and publics in genomics research and healthcare implementation

Author

Fiona Maleady-Crowe, Megan Doerr, Jantina de Vries, Anna Middleton, William Viney, Audrey Duncanson, Amber L. Johns, Madeleine J. Murtagh, Edward S. Dove, Judit Kumuthini, Mogomotsi Matshaba, Keiko Katsui, Rachele M. Hendricks-Sturrup, Jillian Hastings Ward, Richard Milne, Calvin W. L. Ho, Stephanie Mulrine, Clara Gaff, Kazuto Kato, Yann Joly, Christine Patch, Mavis Machirori, Mwenza Blell, Rosalyn Ryan, and Joel T. Minion

Subjects
0303 health sciences, L400, business.industry, Process (engineering), L300, media_common.quotation_subject, Medicine (miscellaneous), Context (language use), Public relations, General Biochemistry, Genetics and Molecular Biology, 3. Good health, B900, 03 medical and health sciences, 0302 clinical medicine, Reciprocity (social psychology), Health care, Quality (business), 030212 general & internal medicine, Sociology, Public engagement, business, Inclusion (education), 030304 developmental biology, Diversity (politics), media_common
Abstract

Genomic science is increasingly central to the provision of health care. Producing and applying robust genomics knowledge is a complex endeavour in which no single individual, profession, discipline or community holds all the answers. Engagement and involvement of diverse stakeholders can support alignment of societal and scientific interests, understandings and perspectives and promises better science and fairer outcomes. In this context we argue for F.A.I.R.E.R. data and data use that is Findable, Accessible, Interoperable, Reproducible, Equitable and Responsible. Yet there is a paucity of international guidance on how to engage publics, patients and participants in genomics. To support meaningful and effective engagement and involvement we developed an Engagement Framework for involving and engaging participants, patients and publics in genomics research and health implementation. The Engagement Framework is intended to support all those working in genomics research, medicine, and healthcare to deliberatively consider approaches to participant, patient and public engagement and involvement in their work. Through a series of questions, the Engagement Framework prompts new ways of thinking about the aims and purposes of engagement, and support reflection on the strengths, limitations, likely outcomes and impacts of choosing different approaches to engagement. To guide genomics activities, we describe four themes and associated questions for deliberative reflection: (i) fairness; (ii) context; (iii) heterogeneity, and (iv) recognising tensions and conflict. The four key components in the Engagement provide a framework to assist those involved in genomics to reflect on decisions they make for their initiatives, including the strategies selected, the participant, patient and public stakeholders engaged, and the anticipated goals. The Engagement Framework is one step in an actively evolving process of building genomics research and implementation cultures which foster responsible leadership and are attentive to objectives which increase equality, diversity and inclusion in participation and outcomes.

Published
2021
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11. Potential for diagnosis of infectious disease from the 100,000 Genomes Project Metagenomic Dataset: Recommendations for reporting results

Author

Abraham Gihawi, Lea Lahnstein, Bernadette Hannigan, Katie Jeffery, Susan E. Wallace, Ghanasyam Rallapalli, Daniel Brewer, Christine Patch, Colin Cooper, Anneke Lucassen, Effy Vayena, Peter Simmonds, Richard S. Tedder, Fiona Maleady-Crowe, Philippa C Matthews, Gkikas Magiorkinis, Tom Fowler, Jean L. Mbisa, and Kevin Dunbar

Subjects
0301 basic medicine, metagenomics, full-genome sequencing, business.industry, Medicine (miscellaneous), Transmissible disease, pathogens, Articles, Data science, Genome, General Biochemistry, Genetics and Molecular Biology, 3. Good health, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, incidental findings, Metagenomics, Infectious disease (medical specialty), Clinical information, Medicine, Human genome, Clinical significance, 030212 general & internal medicine, Open Letter, business
Abstract

The identification of microbiological infection is usually a diagnostic investigation, a complex process that is firstly initiated by clinical suspicion. With the emergence of high-throughput sequencing (HTS) technologies, metagenomic analysis has unveiled the power to identify microbial DNA/RNA from a diverse range of clinical samples (1). Metagenomic analysis of whole human genomes at the clinical/research interface bypasses the steps of clinical scrutiny and targeted testing and has the potential to generate unexpected findings relating to infectious and sometimes transmissible disease. There is no doubt that microbial findings that may have a significant impact on a patient’s treatment and their close contacts should be reported to those with clinical responsibility for the sample-donating patient. There are no clear recommendations on how such findings that are incidental, or outside the original investigation, should be handled. Here we aim to provide an informed protocol for the management of incidental microbial findings as part of the 100,000 Genomes Project which may have broader application in this emerging field. As with any other clinical information, we aim to prioritise the reporting of data that are most likely to be of benefit to the patient and their close contacts. We also set out to minimize risks, costs and potential anxiety associated with the reporting of results that are unlikely to be of clinical significance. Our recommendations aim to support the practice of microbial metagenomics by providing a simplified pathway that can be applied to reporting the identification of potential pathogens from metagenomic datasets. Given that the ambition for UK sequenced human genomes over the next 5 years has been set to reach 5 million and the field of metagenomics is rapidly evolving, the guidance will be regularly reviewed and will likely adapt over time as experience develops.

Published
2019

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