Philippa J. Talmud

ORCID: 0000-0002-5560-1933
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About
Contact & Profiles
Research Areas
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Lipoproteins and Cardiovascular Health
  • Genetic Associations and Epidemiology
  • Lipid metabolism and disorders
  • Cancer, Lipids, and Metabolism
  • Peroxisome Proliferator-Activated Receptors
  • Cholesterol and Lipid Metabolism
  • Adipose Tissue and Metabolism
  • Adipokines, Inflammation, and Metabolic Diseases
  • Liver Disease Diagnosis and Treatment
  • Lipid metabolism and biosynthesis
  • Nutrition, Genetics, and Disease
  • Bioinformatics and Genomic Networks
  • Cardiovascular Function and Risk Factors
  • Biomedical Text Mining and Ontologies
  • Blood Coagulation and Thrombosis Mechanisms
  • Atherosclerosis and Cardiovascular Diseases
  • Renin-Angiotensin System Studies
  • Diet, Metabolism, and Disease
  • Cancer-related molecular mechanisms research
  • Hormonal Regulation and Hypertension
  • Folate and B Vitamins Research
  • Blood properties and coagulation
  • Diabetes and associated disorders
  • Protease and Inhibitor Mechanisms

University College London
2009-2019

University of Oxford
2015-2018

Queen Mary University of London
1997-2018

University of Cambridge
2008-2018

European Bioinformatics Institute
2018

Medical College of Wisconsin
2018

Phoenix Bioinformatics
2018

University of Oregon
2018

Jackson Laboratory
2018

University of Bristol
2010-2017

Veryan Codd Christopher P. Nelson Eva Albrecht Massimo Mangino Joris Deelen and 94 more Jessica L. Buxton Jouke‐Jan Hottenga Krista Fischer Tõnu Esko Ida Surakka Linda Broer Dale R. Nyholt Irene Mateo Leach Perttu Salo Sara Hägg Mary Matthews Jutta Palmen Giuseppe Danilo Norata Paul F. O’Reilly Danish Saleheen Najaf Amin Anthony J. Balmforth Marian Beekman Rudolf A. de Boer Stefan Böhringer Peter S. Braund Paul R. Burton Anton J Mde Craen Matthew Denniff Yanbin Dong Konstantinos Douroudis Dubinina Ev Johan G. Eriksson K. Garlaschelli Dehuang Guo Anna‐Liisa Hartikainen Anjali K. Henders Jeanine J. Houwing‐Duistermaat Laura Kananen Lennart C. Karssen Johannes Kettunen Norman Klopp Vasiliki Lagou Jin‐Moo Lee Pamela A. F. Madden Reedik Mägi Patrik K. E. Magnusson Satu Männistö Mark I. McCarthy Sarah E. Medland Evelin Mihailov Grant W. Montgomery Ben A. Oostra Aarno Palotie Annette Peters Helen Perlstein Pollard Anneli Pouta Inga Prokopenko Samuli Ripatti Veikko Salomaa H. Eka D. Suchiman Ana M. Valdes Niek Verweij Ana Viñuela Xiaoling Wang H‐Erich Wichmann Elisabeth Widén Gonneke Willemsen Margaret J. Wright Kai Xia Xiangjun Xiao Dirk J. van Veldhuisen Alberico L. Catapano Martin D. Tobin Alistair S. Hall Alexandra I. F. Blakemore Wiek H. van Gilst Haidong Zhu Jeanette Erdmann Muredach P. Reilly Sekar Kathiresan Heribert Schunkert Philippa J. Talmud Nancy L. Pedersen Markus Perola Willem H. Ouwehand Jaakko Kaprio Nicholas G. Martin Cornelia M. van Duijn Iiris Hovatta Christian Gieger Andres Metspalu Dorret I. Boomsma Marjo‐Riitta Järvelin P. Eline Slagboom John R. Thompson Tim D. Spector Pim van der Harst Nilesh J. Samani

10.1038/ng.2528 article EN Nature Genetics 2013-03-27

The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over past year, GOC has implemented several processes to increase quantity, quality and specificity GO annotations. First, number manual, literature-based annotations grown at an increasing rate. Second, as result new 'phylogenetic annotation' process, manually reviewed, homology-based...

10.1093/nar/gks1050 article EN cc-by-nc Nucleic Acids Research 2012-11-17

Abstract. There is abundant evidence that the risk of atherosclerotic vascular disease directly related to plasma cholesterol levels. Accordingly, all national and transnational screening therapeutic guidelines are based on total or LDL cholesterol. This presumes most important lipoprotein‐related proatherogenic variable. On contrary, appears be more number circulating atherogenic particles contact enter arterial wall than measured concentration in these lipoprotein fractions. Each contains...

10.1111/j.1365-2796.2006.01616.x article EN Journal of Internal Medicine 2006-02-10
Tuomas O. Kilpeläinen M. Carola Zillikens Alena Stančáková Francis Finucane Janina S. Ried and 95 more Claudia Langenberg Weihua Zhang J. Beckmann Jian’an Luan Liesbeth Vandenput Unnur Styrkársdóttir Yanhua Zhou Albert V. Smith Jinghua Zhao Najaf Amin Sailaja Vedantam So–Youn Shin Talin Haritunians Mao Fu Mary F. Feitosa Meena Kumari Bjarni V. Halldórsson Emmi Tikkanen Massimo Mangino Caroline Hayward Ci Song Alice M. Arnold Yurii S. Aulchenko Ben A. Oostra Harry Campbell L. Adrienne Cupples Kathryn E. Davis Angela Döring Guðný Eiríksdóttir Karol Estrada José Manuel Fernández‐Real Melissa García Christian Gieger Nicole L. Glazer Candace Guiducci Albert Hofman Steve E. Humphries Bo Isomaa Leonie C. Jacobs Antti Jula David Karasik Magnus K. Karlsson Kay‐Tee Khaw Lauren J. Kim Mika Kivimäki Norman Klopp Brigitte Kühnel Johanna Kuusisto Yongmei Liu Östen Ljunggren Mattias Lorentzon Robert Luben Barbara McKnight Dan Mellström Braxton D. Mitchell Vincent Mooser José María Moreno‐Navarrete Satu Männistö Jeffery R. O’Connell Laura Pascoe Leena Peltonen Belén Peral Markus Perola Bruce M. Psaty Veikko Salomaa David B. Savage Robert K. Semple Tatjana Škarić‐Jurić Gunnar Sigurðsson Kijoung Song Timothy D. Spector Ann‐Christine Syvänen Philippa J. Talmud Guðmar Þorleifsson Unnur Þorsteinsdóttir André G. Uitterlinden Cornelia M. van Duijn António Vidal-Puig Philipp S. Wild Alan F. Wright Deborah J. Clegg Eric E. Schadt James F. Wilson Igor Rudan Samuli Ripatti Ingrid B. Borecki Alan R. Shuldiner Erik Ingelsson John‐Olov Jansson Robert C. Kaplan Vilmundur Guðnason Tamara B. Harris Leif Groop Douglas P. Kiel Fernando Rivadeneira

10.1038/ng.866 article EN Nature Genetics 2011-06-26

<b>Objectives</b> To assess the performance of a panel common single nucleotide polymorphisms (genotypes) associated with type 2 diabetes in distinguishing incident cases future (discrimination), and to examine effect adding genetic information previously validated non-genetic (phenotype based) models developed estimate absolute risk diabetes. <b>Design</b> Workplace based prospective cohort study three 5 yearly medical screenings. <b>Participants</b> 5535 initially healthy people (mean age...

10.1136/bmj.b4838 article EN cc-by-nc BMJ 2010-01-14

Abstract BACKGROUND Familial hypercholesterolemia (FH) is an autosomal-dominant disorder caused by mutations in 1 of 3 genes. In the 60% patients who are mutation negative, we have recently shown that clinical phenotype can be associated with accumulation common small-effect LDL cholesterol (LDL-C)-raising alleles use a 12–single nucleotide polymorphism (12-SNP) score. The aims study were to improve selection SNPs and replicate results additional samples. METHODS We used ROC curves determine...

10.1373/clinchem.2014.231365 article EN Clinical Chemistry 2014-11-21

Since triglycerides (TG) are a major independent risk factor for coronary heart disease, understanding their genetic and environmental determinants is of importance. Mouse models indicate an inverse relationship between levels the newly identified apolipoprotein AV (APOAV) TG concentrations. We have examined relative influence human APOA5 variants on plasma lipids, compared to impact variation in APOC3 APOA4 which lie same cluster. Single nucleotide polymorphisms (SNPs) (S19W, -1131T>C)...

10.1093/hmg/11.24.3039 article EN Human Molecular Genetics 2002-11-04

Background The absence (deletion allele [ D ]) of a 287–base pair marker in the ACE gene is associated with higher levels than its presence (insertion I ]). If renin-angiotensin systems regulate left ventricular (LV) growth, then individuals DD genotype might show greater hypertrophic response those II genotype. We tested this hypothesis by studying exercise-induced LV hypertrophy. Methods and Results Echocardiographically determined dimensions mass (n=140), electrocardiographically...

10.1161/01.cir.96.3.741 article EN Circulation 1997-08-05

Objective— The Apolipoprotein-related Mortality Risk (AMORIS) study concluded that the apolipoprotein (apo)B/apoA-I ratio was best predictor of coronary heart disease (CHD) risk. We have compared pairwise combinations total cholesterol, triglycerides (TGs), apoB, high density lipoprotein (HDL) low and apoA-I on CHD risk prediction in middle–aged men. Methods Results— Healthy middle-aged men (n=2508), free at baseline, were examined prospectively. Over 6 years follow-up, there 163 events...

10.1161/01.atv.0000035521.22199.c7 article EN Arteriosclerosis Thrombosis and Vascular Biology 2002-11-01

The study assessed the efficacy of fish oil supplementation in counteracting classic dyslipidemia atherogenic lipoprotein phenotype (ALP). In addition, impact common apolipoprotein E (apoE) polymorphism on fasting and postprandial lipid profile responsiveness to dietary intervention was established. Fifty-five ALP males (aged 34 69 years, body mass index 22 35 kg/m(2), triglyceride [TG] levels 1.5 4.0 mmol/L, high density cholesterol [HDL-C] <1.1 mmol/l, percent low [LDL]-3 >40% total LDL)...

10.1161/01.atv.20.8.1990 article EN Arteriosclerosis Thrombosis and Vascular Biology 2000-08-01
Judith A. Blake M. Eileen Dolan Harold Drabkin David P. Hill L. Ni and 95 more Д. С. Ситников Shane C. Burgess Teresia Buza Charles A. Gresham Fiona M. McCarthy Lakshmi Pillai Hui Wang Seth Carbon Suzanna Lewis Chris Mungall Pascale Gaudet Rex L. Chisholm Petra Fey Warren A. Kibbe Siddhartha Basu Deborah A. Siegele Brenley K. McIntosh Daniel P. Renfro Adrienne E. Zweifel James C. Hu Nicholas H. Brown Susan Tweedie Yasmin Alam-Faruque Rolf Apweiler A Auchinchloss Kristian B. Axelsen Ghislaine Argoud‐Puy Benoît Bely Marie-Claude Blatter Lydie Bougueleret Emmanuel Boutet S. Branconi-Quintaje Lionel Breuza Alan Bridge P. Browne Paul K.S. Chan Elisabeth Coudert Isabelle Cusin Emily Dimmer P. Duek-Roggli Ruth Y. Eberhardt Anne Estreicher L. Famiglietti S. Ferro-Rojas Marc Feuermann M. Gardner Arnaud Gos Nadine Gruaz-Gumowski Ursula Hinz Chantal Hulo Rachael P. Huntley Joachim James Silvia Jiménez Florence Jungo G. Keller Kati Laiho David Legge Philippe Le Mercier Damien Lieberherr Michele Magrane María Martin Patrick Masson M. Moinat Claire O’Donovan Ivo Pedruzzi Klemens Pichler Daniele Giovanni Poggioli Pablo Porras Sylvain Poux Catherine Rivoire Bernd Roechert Tony Sawford Michel Schneider Harminder Sehra Eleanor Stanley André Stutz Suresh Sundaram Michael Tognolli Ioannis Xénarios Rebecca E. Foulger Jane Lomax Paola Roncaglia Evelyn Camon Varsha Khodiyar Ruth C. Lovering Philippa J. Talmud Marcus C. Chibucos Michelle Giglio Kara Dolinski Sven Heinicke Michael Livstone Robert Paul Stephan Midori A. Harris Stephen G. Oliver Kim Rutherford

The Gene Ontology (GO) (http://www.geneontology.org) is a community bioinformatics resource that represents gene product function through the use of structured, controlled vocabularies. number GO annotations products has increased due to curation efforts among Consortium (GOC) groups, including focused literature-based annotation and ortholog-based functional inference. ontologies continue expand improve as result targeted ontology development, introduction computable logical definitions...

10.1093/nar/gkr1028 article EN cc-by-nc Nucleic Acids Research 2011-11-18
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