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Dive into the research topics where Dawn Muddyman is active.

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Featured researches published by Dawn Muddyman.


Nature Communications | 2014

A rare variant in APOC3 is associated with plasma triglyceride and VLDL levels in Europeans

Nicholas J. Timpson; Klaudia Walter; Josine L. Min; Ioanna Tachmazidou; Giovanni Malerba; So-Youn Shin; Lu Chen; Marta Futema; Lorraine Southam; Valentina Iotchkova; Massimiliano Cocca; Jie Huang; Yasin Memari; Shane McCarthy; Petr Danecek; Dawn Muddyman; Massimo Mangino; Cristina Menni; John Perry; Susan M. Ring; Amadou Gaye; George Dedoussis; Aliki-Eleni Farmaki; Paul R. Burton; Philippa J. Talmud; Giovanni Gambaro; Tim D. Spector; George Davey Smith; Richard Durbin; J. Brent Richards

The analysis of rich catalogues of genetic variation from population-based sequencing provides an opportunity to screen for functional effects. Here we report a rare variant in APOC3 (rs138326449-A, minor allele frequency ~0.25% (UK)) associated with plasma triglyceride (TG) levels (−1.43 s.d. (s.e.=0.27 per minor allele (P-value=8.0 × 10−8)) discovered in 3,202 individuals with low read-depth, whole-genome sequence. We replicate this in 12,831 participants from five additional samples of Northern and Southern European origin (−1.0 s.d. (s.e.=0.173), P-value=7.32 × 10−9). This is consistent with an effect between 0.5 and 1.5 mmol l−1 dependent on population. We show that a single predicted splice donor variant is responsible for association signals and is independent of known common variants. Analyses suggest an independent relationship between rs138326449 and high-density lipoprotein (HDL) levels. This represents one of the first examples of a rare, large effect variant identified from whole-genome sequencing at a population scale.


Nature Communications | 2015

Whole-genome sequence-based analysis of thyroid function

Peter N. Taylor; Eleonora Porcu; Shelby Chew; Purdey J. Campbell; Michela Traglia; Suzanne J. Brown; Benjamin H. Mullin; Hashem A. Shihab; Josine Min; Klaudia Walter; Yasin Memari; Jie Huang; Michael R. Barnes; John Beilby; Pimphen Charoen; Petr Danecek; Frank Dudbridge; Vincenzo Forgetta; Celia M. T. Greenwood; Elin Grundberg; Andrew D. Johnson; Jennie Hui; Ee Mun Lim; Shane McCarthy; Dawn Muddyman; Vijay Panicker; John Perry; Jordana T. Bell; Wei Yuan; Caroline L Relton

Normal thyroid function is essential for health, but its genetic architecture remains poorly understood. Here, for the heritable thyroid traits thyrotropin (TSH) and free thyroxine (FT4), we analyse whole-genome sequence data from the UK10K project (N=2,287). Using additional whole-genome sequence and deeply imputed data sets, we report meta-analysis results for common variants (MAF≥1%) associated with TSH and FT4 (N=16,335). For TSH, we identify a novel variant in SYN2 (MAF=23.5%, P=6.15 × 10−9) and a new independent variant in PDE8B (MAF=10.4%, P=5.94 × 10−14). For FT4, we report a low-frequency variant near B4GALT6/SLC25A52 (MAF=3.2%, P=1.27 × 10−9) tagging a rare TTR variant (MAF=0.4%, P=2.14 × 10−11). All common variants explain ≥20% of the variance in TSH and FT4. Analysis of rare variants (MAF<1%) using sequence kernel association testing reveals a novel association with FT4 in NRG1. Our results demonstrate that increased coverage in whole-genome sequence association studies identifies novel variants associated with thyroid function.


Genome Medicine | 2013

Implementing a successful data-management framework: the UK10K managed access model

Dawn Muddyman; Carol Smee; Heather Griffin; Jane Kaye

This paper outlines the history behind open access principles and describes the development of a managed access data-sharing process for the UK10K Project, currently Britain’s largest genomic sequencing consortium (2010 to 2013). Funded by the Wellcome Trust, the purpose of UK10K was two-fold: to investigate how low-frequency and rare genetic variants contribute to human disease, and to provide an enduring data resource for future research into human genetics. In this paper, we discuss the challenge of reconciling data-sharing principles with the practicalities of delivering a sequencing project of UK10K’s scope and magnitude. We describe the development of a sustainable, easy-to-use managed access system that allowed rapid access to UK10K data, while protecting the interests of participants and data generators alike. Specifically, we focus in depth on the three key issues that emerge in the data pipeline: study recruitment, data release and data access.


Nature Communications | 2017

X-linked primary ciliary dyskinesia due to mutations in the cytoplasmic axonemal dynein assembly factor PIH1D3.

Chiara Olcese; Mitali Patel; Amelia Shoemark; Santeri Kiviluoto; Marie Legendre; Hywel Williams; Cara K. Vaughan; Jane Hayward; Alice Goldenberg; Richard D. Emes; Mustafa M. Munye; Laura Dyer; Thomas Joseph Cahill; Jeremy Bevillard; Corinne Gehrig; Michel Guipponi; Sandra Chantot; Philippe Duquesnoy; Lucie Thomas; Ludovic Jeanson; Bruno Copin; Aline Tamalet; Christel Thauvin-Robinet; Jean Francois Papon; Antoine Garin; Isabelle Pin; Gabriella Vera; Paul Aurora; Mahmoud R. Fassad; Lucy Jenkins

By moving essential body fluids and molecules, motile cilia and flagella govern respiratory mucociliary clearance, laterality determination and the transport of gametes and cerebrospinal fluid. Primary ciliary dyskinesia (PCD) is an autosomal recessive disorder frequently caused by non-assembly of dynein arm motors into cilia and flagella axonemes. Before their import into cilia and flagella, multi-subunit axonemal dynein arms are thought to be stabilized and pre-assembled in the cytoplasm through a DNAAF2–DNAAF4–HSP90 complex akin to the HSP90 co-chaperone R2TP complex. Here, we demonstrate that large genomic deletions as well as point mutations involving PIH1D3 are responsible for an X-linked form of PCD causing disruption of early axonemal dynein assembly. We propose that PIH1D3, a protein that emerges as a new player of the cytoplasmic pre-assembly pathway, is part of a complementary conserved R2TP-like HSP90 co-chaperone complex, the loss of which affects assembly of a subset of inner arm dyneins.


Database | 2010

Finding and sharing: new approaches to registries of databases and services for the biomedical sciences

Damian Smedley; Paul N. Schofield; Chao-Kung Chen; Vassilis Aidinis; Crysanthi Ainali; Jonathan Bard; Rudi Balling; Ewan Birney; Andrew Blake; Erik Bongcam-Rudloff; Anthony J. Brookes; Gianni Cesareni; Christina Chandras; Janan T. Eppig; Paul Flicek; Georgios V. Gkoutos; Simon Greenaway; Michael Gruenberger; Jean-Karim Hériché; Andrew Lyall; Ann-Marie Mallon; Dawn Muddyman; Florian Reisinger; Martin Ringwald; Nadia Rosenthal; Klaus Schughart; Morris A. Swertz; Gudmundur A. Thorisson; Michael Zouberakis; John M. Hancock

The recent explosion of biological data and the concomitant proliferation of distributed databases make it challenging for biologists and bioinformaticians to discover the best data resources for their needs, and the most efficient way to access and use them. Despite a rapid acceleration in uptake of syntactic and semantic standards for interoperability, it is still difficult for users to find which databases support the standards and interfaces that they need. To solve these problems, several groups are developing registries of databases that capture key metadata describing the biological scope, utility, accessibility, ease-of-use and existence of web services allowing interoperability between resources. Here, we describe some of these initiatives including a novel formalism, the Database Description Framework, for describing database operations and functionality and encouraging good database practise. We expect such approaches will result in improved discovery, uptake and utilization of data resources. Database URL: http://www.casimir.org.uk/casimir_ddf


European Journal of Human Genetics | 2014

Managing clinically significant findings in research: the UK10K example

Jane Kaye; Heather Griffin; Jasjote Grewal; Martin Bobrow; Nic Timpson; Carol Smee; Patrick Bolton; Richard Durbin; Stephanie O.M. Dyke; David Fitzpatrick; Karen Kennedy; Alastair Kent; Dawn Muddyman; Francesco Muntoni; Lucy Raymond; Robert K. Semple; Tim D. Spector

Recent advances in sequencing technology allow data on the human genome to be generated more quickly and in greater detail than ever before. Such detail includes findings that may be of significance to the health of the research participant involved. Although research studies generally do not feed back information on clinically significant findings (CSFs) to participants, this stance is increasingly being questioned. There may be difficulties and risks in feeding clinically significant information back to research participants, however, the UK10K consortium sought to address these by creating a detailed management pathway. This was not intended to create any obligation upon the researchers to feed back any CSFs they discovered. Instead, it provides a mechanism to ensure that any such findings can be passed on to the participant where appropriate. This paper describes this mechanism and the specific criteria, which must be fulfilled in order for a finding and participant to qualify for feedback. This mechanism could be used by future research consortia, and may also assist in the development of sound principles for dealing with CSFs.


Scientific Reports | 2017

Rare Variant Analysis of Human and Rodent Obesity Genes in Individuals with Severe Childhood Obesity

Audrey E. Hendricks; Elena G. Bochukova; Gaëlle Marenne; Julia M. Keogh; Neli Atanassova; Rebecca Bounds; Eleanor Wheeler; Vanisha Mistry; Elana Henning; Antje Körner; Dawn Muddyman; Shane McCarthy; Anke Hinney; Johannes Hebebrand; Robert A. Scott; Claudia Langenberg; Nicholas J. Wareham; Praveen Surendran; Joanna M. M. Howson; Adam S. Butterworth; John Danesh; Børge G. Nordestgaard; Sune F. Nielsen; Shoaib Afzal; Sofia Papadia; Sofie Ashford; Sumedha Garg; Glenn L. Millhauser; Rafael Palomino; Alexandra Kwasniewska

Obesity is a genetically heterogeneous disorder. Using targeted and whole-exome sequencing, we studied 32 human and 87 rodent obesity genes in 2,548 severely obese children and 1,117 controls. We identified 52 variants contributing to obesity in 2% of cases including multiple novel variants in GNAS, which were sometimes found with accelerated growth rather than short stature as described previously. Nominally significant associations were found for rare functional variants in BBS1, BBS9, GNAS, MKKS, CLOCK and ANGPTL6. The p.S284X variant in ANGPTL6 drives the association signal (rs201622589, MAF~0.1%, odds ratio = 10.13, p-value = 0.042) and results in complete loss of secretion in cells. Further analysis including additional case-control studies and population controls (N = 260,642) did not support association of this variant with obesity (odds ratio = 2.34, p-value = 2.59 × 10−3), highlighting the challenges of testing rare variant associations and the need for very large sample sizes. Further validation in cohorts with severe obesity and engineering the variants in model organisms will be needed to explore whether human variants in ANGPTL6 and other genes that lead to obesity when deleted in mice, do contribute to obesity. Such studies may yield druggable targets for weight loss therapies.


bioRxiv | 2015

Genomic epidemiology of the current wave of artemisinin resistant malaria

Roberto Amato; Olivo Miotto; Charles J. Woodrow; Jacob Almagro-Garcia; Ipsita Sinha; Susana Campino; Daniel Mead; Eleanor Drury; Mihir Kekre; Mandy Sanders; Alfred Amambua-Ngwa; Chanaki Amaratunga; Lucas Amenga-Etego; Timothy J. C. Anderson; Voahangy Andrianaranjaka; Tobias O. Apinjoh; Elizabeth A. Ashley; Sarah Auburn; Gordon A. Awandare; Vito Baraka; Alyssa E. Barry; Maciej F. Boni; Steffen Borrmann; Teun Bousema; Oralee Branch; Peter C. Bull; Kesinee Chotivanich; David J. Conway; Alister Craig; Nicholas P. J. Day

Artemisinin resistant Plasmodium falciparum is advancing across Southeast Asia in a soft selective sweep involving at least 20 independent kelch13 mutations. In a large global survey, we find that kelch13 mutations which cause resistance in Southeast Asia are present at low frequency in Africa. We show that African kelch13 mutations have originated locally, and that kelch13 shows a normal variation pattern relative to other genes in Africa, whereas in Southeast Asia there is a great excess of non-synonymous mutations, many of which cause radical amino-acid changes. Thus, kelch13 is not currently undergoing strong selection in Africa, despite a deep reservoir of standing variation that could potentially allow resistance to emerge rapidly. The practical implications are that public health surveillance for artemisinin resistance should not rely on kelch13 data alone, and interventions to prevent resistance must account for local evolutionary conditions, shown by genomic epidemiology to differ greatly between geographical regions.


Life Sciences, Society and Policy | 2015

‘Pop-Up’ Governance: developing internal governance frameworks for consortia: the example of UK10K

Jane Kaye; Dawn Muddyman; Carol Smee; Karen Kennedy; Jessica Bell

Innovations in information technologies have facilitated the development of new styles of research networks and forms of governance. This is evident in genomics where increasingly, research is carried out by large, interdisciplinary consortia focussing on a specific research endeavour. The UK10K project is an example of a human genomics consortium funded to provide insights into the genomics of rare conditions, and establish a community resource from generated sequence data. To achieve its objectives according to the agreed timetable, the UK10K project established an internal governance system to expedite the research and to deal with the complex issues that arose. The project’s governance structure exemplifies a new form of network governance called ‘pop-up’ governance. ‘Pop-up’ because: it was put together quickly, existed for a specific period, was designed for a specific purpose, and was dismantled easily on project completion. In this paper, we use UK10K to describe how ‘pop-up’ governance works on the ground and how relational, hierarchical and contractual governance mechanisms are used in this new form of network governance.


Archive | 2015

The UK10K Project: 10,000 UK Genome Sequences—Accessing the Role of Rare Genetic Variants in Health and Disease

Dawn Muddyman

From 2010 to 2013, UK10K was Britain’s largest genomic sequencing consortium, awarded £10.5 million by the Wellcome Trust to investigate how low-frequency and rare genetic variants contribute to human disease (www.uk10k.org). This collaborative project brought together researchers working on obesity, autism, schizophrenia, and a number of rare conditions (familial hypercholesterolemia, thyroid disorders, learning disabilities, ciliopathies, congenital heart disease, coloboma, neuromuscular disorders, and severe insulin resistance) to generate whole genome and exome sequence data for almost 10,000 highly phenotyped individuals. The data generated by UK10K not only enabled the discovery of novel disease-causing genes by the consortium, but was also made available to the research community during the life of the project as a managed access data resource; providing access to data an order of magnitude deeper than was previously possible, and empowering future research into human genetics.

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Shane McCarthy

Wellcome Trust Sanger Institute

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Carol Smee

Wellcome Trust Sanger Institute

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John Perry

University of Cambridge

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Klaudia Walter

Wellcome Trust Sanger Institute

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Petr Danecek

Wellcome Trust Sanger Institute

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Yasin Memari

Wellcome Trust Sanger Institute

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