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10 results on '"Marina Evangelou"'

1. Integrating multi-OMICS data through sparse canonical correlation analysis for the prediction of complex traits: a comparison study

Author

Vahid Shahrezaei, Theodoulos Rodosthenous, Marina Evangelou, and Engineering & Physical Science Research Council (EPSRC)

Subjects
Statistics and Probability, Multifactorial Inheritance, Multivariate analysis, AcademicSubjects/SCI01060, Bioinformatics, Iterative method, Computer science, Latent variable, Machine learning, computer.software_genre, 01 natural sciences, Biochemistry, Matrix decomposition, 010104 statistics & probability, 03 medical and health sciences, Humans, 0101 mathematics, Molecular Biology, 01 Mathematical Sciences, 030304 developmental biology, 0303 health sciences, business.industry, Systems Biology, Supervised learning, 06 Biological Sciences, Original Papers, Computer Science Applications, Computational Mathematics, ComputingMethodologies_PATTERNRECOGNITION, Phenotype, Computational Theory and Mathematics, Multivariate Analysis, Unsupervised learning, 08 Information and Computing Sciences, Artificial intelligence, Canonical correlation, business, computer, Algorithms
Abstract

Motivation Recent developments in technology have enabled researchers to collect multiple OMICS datasets for the same individuals. The conventional approach for understanding the relationships between the collected datasets and the complex trait of interest would be through the analysis of each OMIC dataset separately from the rest, or to test for associations between the OMICS datasets. In this work we show that integrating multiple OMICS datasets together, instead of analysing them separately, improves our understanding of their in-between relationships as well as the predictive accuracy for the tested trait. Several approaches have been proposed for the integration of heterogeneous and high-dimensional (p≫n) data, such as OMICS. The sparse variant of canonical correlation analysis (CCA) approach is a promising one that seeks to penalize the canonical variables for producing sparse latent variables while achieving maximal correlation between the datasets. Over the last years, a number of approaches for implementing sparse CCA (sCCA) have been proposed, where they differ on their objective functions, iterative algorithm for obtaining the sparse latent variables and make different assumptions about the original datasets. Results Through a comparative study we have explored the performance of the conventional CCA proposed by Parkhomenko et al., penalized matrix decomposition CCA proposed by Witten and Tibshirani and its extension proposed by Suo et al. The aforementioned methods were modified to allow for different penalty functions. Although sCCA is an unsupervised learning approach for understanding of the in-between relationships, we have twisted the problem as a supervised learning one and investigated how the computed latent variables can be used for predicting complex traits. The approaches were extended to allow for multiple (more than two) datasets where the trait was included as one of the input datasets. Both ways have shown improvement over conventional predictive models that include one or multiple datasets. Availability and implementation https://github.com/theorod93/sCCA. Supplementary information Supplementary data are available at Bioinformatics online.

Published
2020

2. Atopic dermatitis or eczema? Consequences of ambiguity in disease name for biomedical literature mining

Author

Sarah Filippi, Marina Evangelou, Yoann Pitarch, Clément Frainay, Adnan Custovic, Imperial College London, Métabolisme et Xénobiotiques (ToxAlim-MeX), ToxAlim (ToxAlim), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Ecole d'Ingénieurs de Purpan (INPT - EI Purpan), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Recherche d’Information et Synthèse d’Information (IRIT-IRIS), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, National Heart and Lung Institute [London] (NHLI), Imperial College London-Royal Brompton and Harefield NHS Foundation Trust, and UK Research & Innovation (UKRI)Medical Research Council UK (MRC)European Commission

Subjects
Medical terminology, GENES, Allergy, media_common.quotation_subject, [SDV]Life Sciences [q-bio], Immunology, Decision tree, Eczema, text mining, computer.software_genre, Terminology, TEXT, Dermatitis, Atopic, 1117 Public Health and Health Services, 03 medical and health sciences, 0302 clinical medicine, Terminology as Topic, medical terminology, medicine, Immunology and Allergy, Data Mining, Humans, information retrieval, REVISED NOMENCLATURE, 030304 developmental biology, media_common, 0303 health sciences, Science & Technology, atopic dermatitis, business.industry, Decision tree learning, Subject (documents), Atopic dermatitis, Ambiguity, medicine.disease, 3. Good health, Systematic review, 030228 respiratory system, 1107 Immunology, 1111 Nutrition and Dietetics, Artificial intelligence, business, Psychology, computer, Life Sciences & Biomedicine, Natural language processing
Abstract

International audience; Background: Biomedical research increasingly relies on computational approaches to extract relevant information from large corpora of publications.Objective: To investigate the consequence of the ambiguity between the use of terms "Eczema" and "Atopic Dermatitis" (AD) from the Information Retrieval perspective, and its impact on meta-analyses, systematic reviews and text mining.Methods: Articles were retrieved by querying the PubMed using terms 'eczema' (D003876) and "dermatitis, atopic" (D004485). We used machine learning to investigate the differences between the contexts in which each term is used. We used a decision tree approach and trained model to predict if an article would be indexed with eczema or AD tags. We used text-mining tools to extract biological entities associated with eczema and AD, and investigated the discrepancy regarding the retrieval of key findings according to the terminology used.Results: Atopic dermatitis query yielded more articles related to veterinary science, biochemistry, cellular and molecular biology; the eczema query linked to public health, infectious disease and respiratory system. Medical Subject Headings terms associated with "AD" or "Eczema" differed, with an agreement between the top 40 lists of 52%. The presence of terms related to cellular mechanisms, especially allergies and inflammation, characterized AD literature. The metabolites mentioned more frequently than expected in articles with AD tag differed from those indexed with eczema. Fewer enriched genes were retrieved when using eczema compared to AD query.Conclusions and clinical relevance: There is a considerable discrepancy when using text mining to extract bio-entities related to eczema or AD. Our results suggest that any systematic approach (particularly when looking for metabolites or genes related to the condition) should be performed using both terms jointly. We propose to use decision tree learning as a tool to spot and characterize ambiguity, and provide the source code for disambiguation at https://github.com/cfrainay/ResearchCodeBase.

Published
2021

3. Higher thyrotropin leads to unfavorable lipid profile and somewhat higher cardiovascular disease risk: evidence from multi-cohort Mendelian randomization and metabolomic profiling

Author

Maik Pietzner, Mohsen Ghanbari, Fredrik Karpe, Nicolien A. van Vliet, P. Eline Slagboom, Dennis O. Mook-Kanamori, Paul Elliott, Kathrin Budde, Jennifer Meessen, Constantinos Christodoulides, J. Wouter Jukema, E. Houtman, Yuri Milaneschi, Ingrid Meulenbelt, Brenda W.J.H. Penninx, Naveed Sattar, Martin Jaeger, Marian Beekman, Stella Trompet, M.M. Bos, Antonius E. van Herwaarden, Romana T. Netea-Maier, Ko Willems van Dijk, Matt J. Neville, Ibrahim Karaman, Fariba Ahmadizar, Simon P. Mooijaart, Rima Mustafa, H. Eka D. Suchiman, Margreet Kloppenburg, Layal Chaker, He Gao, Diana van Heemst, Raymond Noordam, Mihai G. Netea, Robin P. Peeters, Henry Völzke, Abbas Dehghan, Ruifang Li-Gao, Mariska Bot, Carisha S. Thesing, Marina Evangelou, Christian Delles, M. Arfan Ikram, Epidemiology, Internal Medicine, Home Office, Medical Research Council (MRC), Imperial College Healthcare NHS Trust- BRC Funding, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Complex Trait Genetics, APH - Digital Health, Consortium, BBMRI Metabolomics, Noordam, Raymond [0000-0001-7801-809X], and Apollo - University of Cambridge Repository

Subjects
Male, endocrine system diseases, Thyroid hormones, lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], Physiology, RATIONALE, Thyrotropin, Disease, 030204 cardiovascular system & hematology, Coronary artery disease, SERUM, 0302 clinical medicine, SUBCLINICAL HYPOTHYROIDISM, DESIGN, THYROID-HORMONES, EPIDEMIOLOGY, Euthyroid, 11 Medical and Health Sciences, 0303 health sciences, medicine.diagnostic_test, Thyroid, OBJECTIVES, General Medicine, Middle Aged, Lipids, 3. Good health, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], medicine.anatomical_structure, Cardiovascular Diseases, Cohort, Medicine, Female, HEALTH, Life Sciences & Biomedicine, hormones, hormone substitutes, and hormone antagonists, Research Article, Adult, endocrine system, Reference range, Rare cancers Radboud Institute for Molecular Life Sciences [Radboudumc 9], BBMRI Metabolomics Consortium, 03 medical and health sciences, Young Adult, Medicine, General & Internal, SDG 3 - Good Health and Well-being, General & Internal Medicine, Mendelian randomization, medicine, Humans, Metabolomics, 030304 developmental biology, Aged, Science & Technology, business.industry, Mendelian Randomization Analysis, medicine.disease, Thyroxine, Lipid profile, business
Abstract

Background Observational studies suggest interconnections between thyroid status, metabolism, and risk of coronary artery disease (CAD), but causality remains to be proven. The present study aimed to investigate the potential causal relationship between thyroid status and cardiovascular disease and to characterize the metabolomic profile associated with thyroid status. Methods Multi-cohort two-sample Mendelian randomization (MR) was performed utilizing genome-wide significant variants as instruments for standardized thyrotropin (TSH) and free thyroxine (fT4) within the reference range. Associations between TSH and fT4 and metabolic profile were investigated in a two-stage manner: associations between TSH and fT4 and the full panel of 161 metabolomic markers were first assessed hypothesis-free, then directional consistency was assessed through Mendelian randomization, another metabolic profile platform, and in individuals with biochemically defined thyroid dysfunction. Results Circulating TSH was associated with 52/161 metabolomic markers, and fT4 levels were associated with 21/161 metabolomic markers among 9432 euthyroid individuals (median age varied from 23.0 to 75.4 years, 54.5% women). Positive associations between circulating TSH levels and concentrations of very low-density lipoprotein subclasses and components, triglycerides, and triglyceride content of lipoproteins were directionally consistent across the multivariable regression, MR, metabolomic platforms, and for individuals with hypo- and hyperthyroidism. Associations with fT4 levels inversely reflected those observed with TSH. Among 91,810 CAD cases and 656,091 controls of European ancestry, per 1-SD increase of genetically determined TSH concentration risk of CAD increased slightly, but not significantly, with an OR of 1.03 (95% CI 0.99–1.07; p value 0.16), whereas higher genetically determined fT4 levels were not associated with CAD risk (OR 1.00 per SD increase of fT4; 95% CI 0.96–1.04; p value 0.59). Conclusions Lower thyroid status leads to an unfavorable lipid profile and a somewhat increased cardiovascular disease risk.

Published
2021

4. An Enrichment Analysis for Cardiometabolic Traits Suggests Non-Random Assignment of Genes to microRNAs

Author

Mohsen Ghanbari, Abbas Dehghan, Rima Mustafa, Marina Evangelou, and Epidemiology

Subjects
0301 basic medicine, Chemistry, Multidisciplinary, Genome-wide association study, lcsh:Chemistry, Databases, Genetic, Ensembl, lcsh:QH301-705.5, Spectroscopy, METABOLIC SYNDROME, RISK, MiRTarBase, COMMON VARIANTS, Genetic Pleiotropy, General Medicine, MIRNA EXPRESSION, Computer Science Applications, microRNAs, Chemistry, INSIGHTS, Physical Sciences, cardiometabolic, Life Sciences & Biomedicine, Biochemistry & Molecular Biology, PATHOPHYSIOLOGY, 0699 Other Biological Sciences, Single-nucleotide polymorphism, Computational biology, Catalysis, Article, enrichment analysis, Inorganic Chemistry, 03 medical and health sciences, Quantitative Trait, Heritable, 0399 Other Chemical Sciences, microRNA, Humans, GENOME-WIDE ASSOCIATION, Physical and Theoretical Chemistry, Molecular Biology, Gene, METAANALYSIS, Genetic association, 0604 Genetics, Science & Technology, Chemical Physics, Myocardium, Organic Chemistry, 030104 developmental biology, Gene Expression Regulation, Genes, lcsh:Biology (General), lcsh:QD1-999, Multiple comparisons problem, genome-wide association studies, Genome-Wide Association Study
Abstract

MicroRNAs (miRNAs) regulate the expression of the majority of genes. However, it is not known whether they regulate genes in random or are organized according to their function. To this end, we chose cardiometabolic disorders as an example and investigated whether genes associated with cardiometabolic disorders are regulated by a random set of miRNAs or a limited number of them. Single-nucleotide polymorphisms (SNPs) reaching genome-wide level significance were retrieved from most recent genome-wide association studies on cardiometabolic traits, which were cross-referenced with Ensembl to identify related genes and combined with miRNA target prediction databases (TargetScan, miRTarBase, or miRecords) to identify miRNAs that regulate them. We retrieved 520 SNPs, of which 355 were intragenic, corresponding to 304 genes. While we found a higher proportion of genes reported from all GWAS that were predicted targets for miRNAs in comparison to all protein-coding genes (75.1%), the proportion was even higher for cardiometabolic genes (80.6%). Enrichment analysis was performed within each database. We found that cardiometabolic genes were over-represented in target genes for 29 miRNAs (based on TargetScan) and 3 miRNAs (miR-181a, miR-302d and miR-372) (based on miRecords) after Benjamini-Hochberg correction for multiple testing. Our work provides evidence for non-random assignment of genes to miRNAs and supports the idea that miRNAs regulate sets of genes that are functionally related.

Published
2018

5. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

Author

Olle Melander, Niek Verweij, Uwe Völker, Morris A. Swertz, Seppo Koskinen, David Conen, Lars Lind, Rossella Sorice, Philippe Amouyel, Andres Metspalu, David J. Stott, Marty Larson, Francis S. Collins, Ozren Polasek, Paul F. O'Reilly, Albertine J. Oldehinkel, Evangelos Evangelou, Pekka Jousilahti, Michela Traglia, Tineka Blake, John Attia, Bruce M. Psaty, Massimo Mangino, Alison Pattie, Marco Brumat, Dorret I. Boomsma, Harry Campbell, Daniel I. Chasman, Tõnu Esko, Wei-Yu Lin, Rodney J. Scott, Marjo-Riitta Järvelin, Guillaume Paré, Adriana M. Hung, Marina Evangelou, Quang Tri Nguyen, Markus Perola, Kenneth Rice, Yong Qian, Antonietta Robino, Anne U. Jackson, Ian J. Deary, Mika Kähönen, Cristina Menni, Veronique Vitart, Igor Rudan, Ganesh Chauhan, Aravinda Chakravarti, Jennifer E. Huffman, John M. Starr, Anubha Mahajan, Christopher Newton-Cheh, Peter Almgren, Yuri Milaneschi, Jacklyn N. Hellwege, Roby Joehanes, Christopher P. Nelson, Eleftheria Zeggini, Elizabeth G. Holliday, Peter J. van der Most, Annette Peters, Paul M. Ridker, Michael Boehnke, Joris Deelen, Brenda W.J.H. Penninx, Neil Poulter, Renée de Mutsert, Rick Jansen, Fu Liang Ng, Anne-Claire Vergnaud, Ilja M. Nolte, Meixia Ren, Gail Davies, John M. C. Connell, Jian'an Luan, Todd L. Edwards, Benjamin Lehne, K. Witkowska, Lili Milani, Stéphanie Debette, Georgios Ntritsos, Claudia P. Cabrera, Paolo Gasparini, Jouke-Jan Hottenga, Antti-Pekka Sarin, Kelly Cho, Robert A. Scott, Veikko Salomaa, Niki Dimou, David C. Liewald, Pim van der Harst, Teemu J. Niiranen, Denis C. Shields, Leo-Pekka Lyytikäinen, Andrew P. Morris, Murielle Bochud, Helena Schmidt, Bernard Keavney, Christopher Oldmeadow, Ioanna Tzoulaki, Jaakko Tuomilehto, Louise V. Wain, Reedik Mägi, Christian Gieger, Caterina Barbieri, Aki S. Havulinna, Fabiola Del Greco M, Dragana Vuckovic, Alan F. Wright, J. Wouter Jukema, Reinhold Schmidt, Marcus Dörr, Franco Giulianini, Evan Tzanis, Erwin P. Bottinger, David Mosen-Ansorena, Ruth J. F. Loos, A. Mesut Erzurumluoglu, Teresa Nutile, Alice Stanton, Jun Ding, Yingchang Lu, Roberto Elosua, Walter Palmas, James F. Wilson, Edith Hofer, Giorgia Girotto, Bram P. Prins, Anna Morgan, Anuj Goel, Edward G. Lakatta, Alex S. F. Doney, Najaf Amin, Lenore J. Launer, Siim Sõber, Nicholas J. Wareham, Adam S. Butterworth, Ilaria Gandin, Xiuqing Guo, Kent D. Taylor, Andrew D. Morris, Paul Knekt, Cinzia Sala, Peter P. Pramstaller, Joshua C. Bis, Archie Campbell, Raha Pazoki, Hugh Watkins, Csaba P. Kovesdy, Yan V. Sun, Lynda M. Rose, Jaspal S. Kooner, Maciej Tomaszewski, Massimiliano Cocca, Claudia Langenberg, Gonneke Willemsen, Eco J. C. de Geus, Peter W.F. Wilson, Ahmad Vaez, Albert Hofman, Kristin L. Ayers, Sara M. Willems, Germaine C. Verwoert, Christophe Tzourio, Martin Farrall, Albert V. Smith, Joanna M. M. Howson, Daniela Toniolo, Digna R. Velez Edwards, Antti Jula, Stefan Enroth, Ruifang Li-Gao, Nabi Shah, Weihua Zhang, Paul Elliott, Dennis O. Mook-Kanamori, Tatijana Zemunik, Shih-Jen Hwang, Helen R. Warren, Peter J. Munson, He Gao, Ivana Kolcic, Peter S. Braund, Tamara B. Harris, Raymond Noordam, Stella Trompet, Markku Laakso, Peter K. Joshi, Zoltán Kutalik, Sébastien Thériault, Åsa Johansson, Rainer Rettig, Sarah H. Wild, Patricia B. Munroe, John Danesh, Anders Hamsten, Mark J. Caulfield, Gonçalo R. Abecasis, Praveen Surendran, Peter S. Sever, David S. Siscovick, Terho Lehtimäki, Priyanka Nandakumar, Aarno Palotie, Muralidharan Sargurupremraj, Chiara Batini, Nick Shrine, Harold Snieder, Cumhur Y Demirkale, Teresa Ferreira, André G. Uitterlinden, Sekar Kathiresan, Mattias Frånberg, Lorna M. Lopez, J. Michael Gaziano, Cornelia M. van Duijn, Maris Laan, Samuli Ripatti, John C. Chambers, Martin H. de Borst, Johan Sundström, Alan J. Gow, Caroline Hayward, Oscar H. Franco, Yongmei Liu, Sandosh Padmanabhan, Ibrahim Karaman, Georg Ehret, Cecilia M. Lindgren, Mike A. Nalls, Chrysovalanto Mamasoula, Daniela Ruggiero, Erik Ingelsson, Colin N. A. Palmer, Alan James, Elin Org, Kati Kristiansson, Alexander Teumer, Ulf Gyllensten, Joanne Knight, Vilmantas Giedraitis, Jerome I. Rotter, Yasaman Saba, Daniel Levy, Li Lin, Janina S. Ried, Michael R. Barnes, Harriëtte Riese, Andrew D. Johnson, David P. Strachan, Martin D. Tobin, Lorenz Risch, Rona J. Strawbridge, Jing Hua Zhao, Vilmundur Gudnason, Borbala Mifsud, Eric Boerwinkle, Catharina A. Hartman, Ben A. Oostra, Dan E. Arking, Andrew A. Hicks, Peter Vollenweider, Thibaud Boutin, Philip S. Tsao, Jie Yao, Ayush Giri, Marina Ciullo, Morris J. Brown, Alanna C. Morrison, Kay-Tee Khaw, Francesco Cucca, Jonathan Marten, Olli T. Raitakari, Christopher J. O'Donnell, Jaume Marrugat, Tim D. Spector, Heather J. Cordell, Nilesh J. Samani, Simon Thom, Sarah E. Harris, UNIVERSITY OF OULU, Commission of the European Communities, Home Office, Action on Hearing Loss, Imperial College Healthcare NHS Trust- BRC Funding, National Institute for Health Research, British Heart Foundation, Medical Research Council (MRC), UK DRI Ltd, Epidemiology, Internal Medicine, Lee Kong Chian School of Medicine (LKCMedicine), Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Ehret, Georg Benedikt, Lin, Li, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Evangelou, Evangelo, Warren, Helen R, Mosen-Ansorena, David, Mifsud, Borbala, Pazoki, Raha, Gao, He, Ntritsos, Georgio, Dimou, Niki, Cabrera, Claudia P, Karaman, Ibrahim, Ng, Fu Liang, Evangelou, Marina, Witkowska, Katarzyna, Tzanis, Evan, Hellwege, Jacklyn N, Giri, Ayush, Velez Edwards, Digna R, Sun, Yan V, Cho, Kelly, Gaziano, J Michael, Wilson, Peter W F, Tsao, Philip S, Kovesdy, Csaba P, Esko, Tonu, Mägi, Reedik, Milani, Lili, Almgren, Peter, Boutin, Thibaud, Debette, Stéphanie, Ding, Jun, Giulianini, Franco, Holliday, Elizabeth G, Jackson, Anne U, Li-Gao, Ruifang, Lin, Wei-Yu, Luan, Jian'An, Mangino, Massimo, Oldmeadow, Christopher, Prins, Bram Peter, Qian, Yong, Sargurupremraj, Muralidharan, Shah, Nabi, Surendran, Praveen, Thériault, Sébastien, Verweij, Niek, Willems, Sara M, Zhao, Jing-Hua, Amouyel, Philippe, Connell, John, de Mutsert, Renée, Doney, Alex S F, Farrall, Martin, Menni, Cristina, Morris, Andrew D, Noordam, Raymond, Paré, Guillaume, Poulter, Neil R, Shields, Denis C, Stanton, Alice, Thom, Simon, Abecasis, Gonçalo, Amin, Najaf, Arking, Dan E, Ayers, Kristin L, Barbieri, Caterina M, Batini, Chiara, Bis, Joshua C, Blake, Tineka, Bochud, Murielle, Boehnke, Michael, Boerwinkle, Eric, Boomsma, Dorret I, Bottinger, Erwin P, Braund, Peter S, Brumat, Marco, Campbell, Archie, Campbell, Harry, Chakravarti, Aravinda, Chambers, John C, Chauhan, Ganesh, Ciullo, Marina, Cocca, Massimiliano, Collins, Franci, Cordell, Heather J, Davies, Gail, Borst, Martin H de, Geus, Eco J de, Deary, Ian J, Deelen, Jori, Del Greco M, Fabiola, Demirkale, Cumhur Yusuf, Dörr, Marcu, Ehret, Georg B, Elosua, Roberto, Enroth, Stefan, Erzurumluoglu, A Mesut, Ferreira, Teresa, Frånberg, Mattia, Franco, Oscar H, Gandin, Ilaria, Gasparini, Paolo, Giedraitis, Vilmanta, Gieger, Christian, Girotto, Giorgia, Goel, Anuj, Gow, Alan J, Gudnason, Vilmundur, Guo, Xiuqing, Gyllensten, Ulf, Hamsten, Ander, Harris, Tamara B, Harris, Sarah E, Hartman, Catharina A, Havulinna, Aki S, Hicks, Andrew A, Hofer, Edith, Hofman, Albert, Hottenga, Jouke-Jan, Huffman, Jennifer E, Hwang, Shih-Jen, Ingelsson, Erik, James, Alan, Jansen, Rick, Jarvelin, Marjo-Riitta, Joehanes, Roby, Johansson, Åsa, Johnson, Andrew D, Joshi, Peter K, Jousilahti, Pekka, Jukema, J Wouter, Jula, Antti, Kähönen, Mika, Kathiresan, Sekar, Keavney, Bernard D, Khaw, Kay-Tee, Knekt, Paul, Knight, Joanne, Kolcic, Ivana, Kooner, Jaspal S, Koskinen, Seppo, Kristiansson, Kati, Kutalik, Zoltan, Laan, Mari, Larson, Marty, Launer, Lenore J, Lehne, Benjamin, Lehtimäki, Terho, Liewald, David C M, Lind, Lar, Lindgren, Cecilia M, Liu, Yongmei, Loos, Ruth J F, Lopez, Lorna M, Lu, Yingchang, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamasoula, Chrysovalanto, Marrugat, Jaume, Marten, Jonathan, Milaneschi, Yuri, Morgan, Anna, Morris, Andrew P, Morrison, Alanna C, Munson, Peter J, Nalls, Mike A, Nandakumar, Priyanka, Nelson, Christopher P, Niiranen, Teemu, Nolte, Ilja M, Nutile, Teresa, Oldehinkel, Albertine J, Oostra, Ben A, O'Reilly, Paul F, Org, Elin, Padmanabhan, Sandosh, Palmas, Walter, Palotie, Aarno, Pattie, Alison, Penninx, Brenda W J H, Perola, Marku, Peters, Annette, Polasek, Ozren, Pramstaller, Peter P, Nguyen, Quang Tri, Raitakari, Olli T, Ren, Meixia, Rettig, Rainer, Rice, Kenneth, Ridker, Paul M, Ried, Janina S, Riese, Harriëtte, Ripatti, Samuli, Robino, Antonietta, Rose, Lynda M, Rotter, Jerome I, Rudan, Igor, Ruggiero, Daniela, Saba, Yasaman, Sala, Cinzia F, Salomaa, Veikko, Samani, Nilesh J, Sarin, Antti-Pekka, Schmidt, Reinhold, Schmidt, Helena, Shrine, Nick, Siscovick, David, Smith, Albert V, Snieder, Harold, Sõber, Siim, Sorice, Rossella, Starr, John M, Stott, David J, Strachan, David P, Strawbridge, Rona J, Sundström, Johan, Swertz, Morris A, Taylor, Kent D, Teumer, Alexander, Tobin, Martin D, Tomaszewski, Maciej, Toniolo, Daniela, Traglia, Michela, Trompet, Stella, Tuomilehto, Jaakko, Tzourio, Christophe, Uitterlinden, André G, Vaez, Ahmad, van der Most, Peter J, van Duijn, Cornelia M, Vergnaud, Anne-Claire, Verwoert, Germaine C, Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Vuckovic, Dragana, Watkins, Hugh, Wild, Sarah H, Willemsen, Gonneke, Wilson, James F, Wright, Alan F, Yao, Jie, Zemunik, Tatijana, Zhang, Weihua, Attia, John R, Butterworth, Adam S, Chasman, Daniel I, Conen, David, Cucca, Francesco, Danesh, John, Hayward, Caroline, Howson, Joanna M M, Laakso, Markku, Lakatta, Edward G, Langenberg, Claudia, Melander, Olle, Mook-Kanamori, Dennis O, Palmer, Colin N A, Risch, Lorenz, Scott, Robert A, Scott, Rodney J, Sever, Peter, Spector, Tim D, van der Harst, Pim, Wareham, Nicholas J, Zeggini, Eleftheria, Levy, Daniel, Munroe, Patricia B, Newton-Cheh, Christopher, Brown, Morris J, Metspalu, Andre, Hung, Adriana M, O'Donnell, Christopher J, Edwards, Todd L, Psaty, Bruce M, Tzoulaki, Ioanna, Barnes, Michael R, Wain, Louise V, Elliott, Paul, Caulfield, Mark J, Groningen Kidney Center (GKC), Lifestyle Medicine (LM), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Groningen Institute for Organ Transplantation (GIOT), VU University medical center, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Digital Health, Institute for Molecular Medicine Finland, Centre of Excellence in Complex Disease Genetics, Research Programme of Molecular Medicine, Research Programs Unit, Aarno Palotie / Principal Investigator, University of Helsinki, Clinicum, Samuli Olli Ripatti / Principal Investigator, Biostatistics Helsinki, Department of Public Health, Complex Disease Genetics, and Genomics of Neurological and Neuropsychiatric Disorders

Subjects
Male, 0301 basic medicine, Netherlands Twin Register (NTR), Population/methods, Genome Informatics, Blood Pressure, Genome-wide association study, GENOME-WIDE ASSOCIATION, CARDIOVASCULAR-DISEASE RISK, UK BIOBANK, HYPERTENSION, VARIANTS, METAANALYSIS, COMMON, HEALTH, RARE, HYPERALDOSTERONISM, Disease, Bioinformatics, Cardiovascular Diseases/epidemiology/genetics, Risk Factors, 80 and over, GWAS, Cells, Cultured, 11 Medical and Health Sciences, ddc:616, Genetics & Heredity, Aged, 80 and over, Cultured, medicine.diagnostic_test, CARDIOVASCULAR RISK, Genetic analysis, Million Veteran Program, Genetics, Population/methods, Single Nucleotide, Middle Aged, PREVALENCE, 3. Good health, Pulse pressure, VINTAGE, Cardiovascular Diseases, Blood pressure, Medical genetics, Female, Medical Genetics, Life Sciences & Biomedicine, Genetic Testing/methods, Adult, medicine.medical_specialty, Blood Pressure/genetics, Cells, Quantitative Trait Loci, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Human Umbilical Vein Endothelial Cells, Genetics, medicine, Humans, Medicine [Science], Genetic Predisposition to Disease, Genetic Testing, Polymorphism, HEALTHY, Life Style, Medicinsk genetik, Aged, Genetic testing, Genetic association, Science & Technology, Cardiovascular Diseases/epidemiology, 06 Biological Sciences, Genetic architecture, Genetics, Population, 030104 developmental biology, Genetic Loci, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, 3111 Biomedicine, Hypertension/genetics, Genome-Wide Association Study, Developmental Biology
Abstract

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future. NMRC (Natl Medical Research Council, S’pore) MOH (Min. of Health, S’pore)

Published
2018

6. Genetic analysis of over one million people identifies 535 novel loci for blood pressure

Author

Lorenz Risch, Anne-Claire Vergnaud, Nguyen Quang Tri, Rona J. Strawbridge, Alan F. Wright, Francesco Cucca, Evan Tzanis, Caterina Barbieri, Jaakko Tuomilehto, Louise V. Wain, Jonathan Marten, James F. Wilson, Christopher Newton-Cheh, Reedik Mägi, Olli T. Raitakari, Peter W.F. Wilson, Joris Deelen, Morris Brown, Anna Morgan, Nabi Shah, Weihua Zhang, Ganesh Chauhan, Gail Davies, Peter S. Braund, Bram P. Prins, Alison Pattie, Marcus Dörr, Zoltán Kutalik, Marco Brumat, Franco Giulianini, Rainer Rettig, Uwe Völker, Georgios Ntritsos, Teresa Nutile, Todd L. Edwards, Albertine J. Oldehinkel, Christopher J. O'Donnell, Jaume Marrugat, Evangelos Evangelou, Nilesh J. Samani, Pekka Jousilahti, Dorret I. Boomsma, Harry Campbell, Francis S. Collins, Tim D. Spector, Simon Thom, Sarah E. Harris, Heather J. Cordell, Helen R. Warren, Cinzia Sala, Peter P. Pramstaller, Seppo Koskinen, Paul F. O'Reilly, Aravinda Chakravarti, Joshua C. Bis, Archie Campbell, Bernard Keavney, Sébastien Thériault, Gonneke Willemsen, Lynda M. Rose, Massimiliano Cocca, Jennifer E. Huffman, Meixia Ren, Massimo Mangino, Markus Perola, Joanna M. M. Howson, David Mosen-Ansorena, Harriëtte Riese, Martin Farrall, Albert V. Smith, Lenore J. Launer, Marina Ciullo, Antti-Pekka Sarin, Veikko Salomaa, Ilaria Gandin, Kent D. Taylor, Peter S. Sever, Markku Laakso, André G. Uitterlinden, Yan V. Sun, Raymond Noordam, Renée de Mutsert, Alan L. James, Jing Hua Zhao, Stefan Enroth, Andrew D. Morris, David S. Siscovick, Andrew D. Johnson, Igor Rudan, Tõnu Esko, Jun Ding, David P. Strachan, Martin D. Tobin, Christopher P. Nelson, Daniela Toniolo, J. Wouter Jukema, Vilmundur Gudnason, Borbala Mifsud, Marty Larson, Andrew A. Hicks, Adriana M. Hung, Antonietta Robino, Ruifang Li-Gao, Paul Elliott, Anne U. Jackson, Michela Traglia, Martin H. de Borst, Germaine C. Verwoert, Rheinhold Schmidt, Fabiola M Del Greco, Åsa Johansson, Anders Hamsten, Csaba P. Kovesdy, Mark J. Caulfield, Cumhur Y Demirkale, John M. C. Connell, Jian'an Luan, K. Witkowska, Georg Ehret, Cecilia M. Lindgren, Oscar H. Franco, Yongmei Liu, Ioanna Tzoulaki, Eric Boerwinkle, Catharina A. Hartman, Muralidharan Sargurupremraj, Claudia Langenberg, J. Michael Gaziano, Peter K. Joshi, Cornelia M. van Duijn, Maris Laan, Nick Shrine, Peter J. van der Most, Michael Boehnke, Leo-Pekka Lyytikäinen, Samuli Ripatti, Ben A. Oostra, Robert A. Scott, Lingchan Lu, Edward G. Lakatta, Yasaman Saba, Daniel Levy, Li Lin, Harold Schneider, Alex S. F. Doney, Michael R. Barnes, Najaf Amin, Hugh Watkins, Paul M. Ridker, Janina S Reid, Ayush Giri, Sekar Kathiresan, Lorna M. Lopez, Mike A. Nalls, Marina Evangelou, Erik Ingelsson, Lili Milani, Alice Stanton, Ozren Polasek, Sara M. Willems, Colin N. A. Palmer, Stéphanie Debette, Dan E. Arking, Helena Schmidt, Paul Knekt, John M. Starr, Yong Qian, Cristina Menni, Yuri Milaneschi, Christophe Tzourio, Tamara B. Harris, Kristin L. Ayers, Peter Vollenweider, Paolo Gasparini, Dennis O. Mook-Kanamori, Rodney J. Scott, Sandosh Padmanabhan, Anubha Mahajan, Peter Almgren, Jacklyn N. Hellwege, Teemu J. Niiranen, Mika Kähönen, Shih-Jen Hwang, Elizabeth G. Holliday, Edith Hofer, Priyanka Nandakumar, Peter J. Munson, Rick Jansen, Andrew P. Morris, Walter Palmas, Ilja M. Nolte, Siim Sõber, Thibaud Boutin, Ahmad Vaez, Albert Hofman, He Gao, Brenda W.J.H. Penninx, Neil Poulter, Alan J. Gow, Caroline Hayward, Nicholas J. Wareham, Elin Org, Philip S. Tsao, Claudia P. Cabrera, Aki S. Havulinna, Dragana Vuckovic, Kelly Cho, Jie Yao, Lars Lind, Jerome I. Rotter, David J. Stott, Ivana Kolcic, Wei-Yu Lin, Tatijana Zemunik, Tineka Blake, Kenneth Rice, Veronique Vitart, Alanna C. Morrison, Kay-Tee Khaw, Marjo-Riitta Järvelin, Guillaume Paré, Jouke-Jan Hottenga, Giorgia Girotto, Chiara Batini, Niki Dimou, Stella Trompet, John Danesh, Annette Peters, Alexander Teumer, Ulf Gyllensten, Joanne Knight, Vilmantas Giedraitis, Morris A. Swertz, Jaspal S. Kooner, Niek Verweij, Ibrahim Karaman, Murielle Bochud, Christian Gieger, Ruth J. F. Loos, Daniella Ruggiero, Arno Palotie, David Conen, Raha Pazoki, Denis C. Shields, Rossella Sorice, Philippe Amouyel, Gonçalo R. Abecasis, Andres Metspalu, John Attia, Bruce M. Psaty, Sarah H. Wild, Patricia B. Munroe, Daniel I. Chasman, Ollie Melander, John C. Chambers, Roby Joehanes, Eleftheria Zeggini, Johan Sundström, Chrysovalanto Mamasoula, Benjamin Lehne, Kati Kristiansson, Christopher Oldmeadow, Eco J. C. de Geus, A. Mesut Erzurumluoglu, Anuj Goel, Adam S. Butterworth, Digna R. Velez Edwards, Xiuqing Guo, Antti Jula, Praveen Surendran, Terho Lehtimäki, Mattias Frånberg, Teresa Ferreira, Ian J. Deary, David C. Liewald, Pim van der Harst, Erwin P. Bottinger, Roberto Elosua, and Fu Liang Ng

Subjects
Genetics, 0303 health sciences, Diastole, Disease, 030204 cardiovascular system & hematology, Biology, Precision medicine, Genetic analysis, 3. Good health, Pulse pressure, 03 medical and health sciences, 0302 clinical medicine, Blood pressure, Disease prevention, 030304 developmental biology, Genetic association
Abstract

High blood pressure is the foremost heritable global risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits to date (systolic, diastolic, pulse pressure) in over one million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also reveal shared loci influencing lifestyle exposures. Our findings offer the potential for a precision medicine strategy for future cardiovascular disease prevention.

Published
2017

7. Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

Author

Aravinda Chakravarti, Jennifer E. Huffman, Meixia Ren, Veikko Salomaa, Christopher Newton-Cheh, Johan Sundström, Alan L. James, Joris Deelen, Raha Pazoki, Michela Traglia, Tõnu Esko, Seppo Koskinen, Christopher J. O'Donnell, Csaba P. Kovesdy, Daniel I. Chasman, Paul F. O'Reilly, Roby Joehanes, Paul M. Ridker, G. Abecasis, Lars Lind, Dragana Vuckovic, Yingchang Lu, Antonietta Robino, Anders Hamsten, Muralidharan Sargurupremraj, Caterina Barbieri, Anne U. Jackson, Anna Morgan, Claudia Langenberg, Peter S. Braund, Rainer Rettig, Murielle Bochud, Vilmundur Gudnason, Eleftheria Zeggini, David J. Stott, Joop Jukema, Nick Shrine, Jun Ding, Olle Melander, Massimo Mangino, Borbala Mifsud, Frank H. Collins, Liewald Dcm., Tineka Blake, Peter K. Joshi, Yan V. Sun, Aarno Palotie, Maciej Tomaszewski, Jarvelin M-R., Kati Kristiansson, L. J. Launer, Sara M. Willems, Ian J. Deary, Christophe Tzourio, Alan J. Gow, Caroline Hayward, Guillaume Paré, Christopher Oldmeadow, John M. Starr, Paul Elliott, Morris A. Swertz, C M van Duijn, Sekar Kathiresan, Lorna M. Lopez, Neil R Poulter, Mike A. Nalls, Erik Ingelsson, Eric Boerwinkle, Catharina A. Hartman, Giorgia Girotto, Ben A. Oostra, Markus Perola, Paul Knekt, Lyytikäinen L-P., T.B. Harris, J. C. Bis, Harriëtte Riese, J. Marrugat, Samuli Ripatti, Howson Jmm., Archie Campbell, C M Lindgren, Adam S. Butterworth, Xiuqing Guo, Lin W-Y., Priyanka Nandakumar, David Mosen-Ansorena, Alison Pattie, Marco Brumat, Annette Peters, Georgios Ntritsos, Ivana Kolcic, Alexander Teumer, Ulf Gyllensten, Joanne Knight, Stella Trompet, K. Witkowska, Hottenga J-J., Tim D. Spector, Maris Laan, Vilmantas Giedraitis, Bram P. Prins, Loos Rjf., M. H. de Borst, Antti Jula, Lynda M. Rose, Massimiliano Cocca, Daniela Toniolo, Igor Rudan, P. J. van der Most, Fu Liang Ng, Heather J. Cordell, Walter Palmas, John Danesh, John Attia, Dan E. Arking, Ganesh Chauhan, C Gieger, P. van der Harst, Penninx Bwjh., Kristin L. Ayers, Germaine C. Verwoert, Bruce M. Psaty, Jaspal S. Kooner, Ruifang Li-Gao, Benjamin Lehne, Khaw K-T., Sandosh Padmanabhan, Franco Giulianini, Erwin P. Bottinger, Roberto Elosua, Christopher P. Nelson, Ozren Polasek, D.R. Velez Edwards, Martin Farrall, Ioanna Tzoulaki, Peter Vollenweider, Uwe Völker, Albertine J. Oldehinkel, Åsa Johansson, Helen R. Warren, Evan Tzanis, Albert V. Smith, Hwang S-J., Teresa Ferreira, E.J.C. de Geus, Evangelos Evangelou, Niek Verweij, R. J. Scott, Pekka Jousilahti, Elin Org, Stefan Enroth, Dorret I. Boomsma, Harry Campbell, Andrew D. Johnson, David Conen, James F. Wilson, Edward G. Lakatta, Anuj Goel, Raymond Noordam, Najaf Amin, David P. Strachan, Martin D. Tobin, Francesco Cucca, Doney Asf., Todd L. Edwards, Jerome I. Rotter, Mika Kähönen, Hugh Watkins, Rossella Sorice, John M. C. Connell, David S. Siscovick, Sébastien Thériault, Jian'an Luan, Marty Larson, Philippe Amouyel, A C Morrison, Louise V. Wain, Reedik Mägi, Jonathan Marten, Thibaud Boutin, Nabi Shah, Weihua Zhang, Palmer Cna., Daniela Ruggiero, Zhao J-H., Olli T. Raitakari, Bernard Keavney, Peter S. Sever, Philip S. Tsao, Jie Yao, André G. Uitterlinden, Marina Evangelou, Zoltán Kutalik, Robert A. Scott, Helena Schmidt, J. Tuomilehto, Nilesh J. Samani, Quang Tri Nguyen, John Michael Gaziano, Georg Ehret, Praveen Surendran, Terho Lehtimäki, Mark J. Caulfield, Denis C. Shields, Rick Jansen, Sarin A-P., Alice Stanton, Mattias Frånberg, Cumhur Y Demirkale, Stéphanie Debette, Paolo Gasparini, Ilaria Gandin, Simon Thom, Kent D. Taylor, Andrew D. Morris, Claudia P. Cabrera, Teemu J. Niiranen, Nicholas J. Wareham, Andrew P. Morris, Yasaman Saba, Daniel Levy, Aki S. Havulinna, Kelly Cho, Sarah E. Harris, Li Lin, Janina S. Ried, Michael R. Barnes, Sarah H. Wild, Patricia B. Munroe, Vergnaud A-C., Lorenz Risch, Rona J. Strawbridge, Y. Milaneschi, John C. Chambers, Yong Qian, Cristina Menni, Anubha Mahajan, Peter Almgren, Gary Davies, Jacklyn N. Hellwege, Elizabeth G. Holliday, A. Metspalu, Ilja M. Nolte, Peter J. Munson, He Gao, Marcus Dörr, Cinzia Sala, Peter P. Pramstaller, Teresa Nutile, Wilson Pwf., Gonneke Willemsen, Markku Laakso, Chiara Batini, Harold Snieder, Ibrahim Karaman, Adriana M. Hung, Reinhold Schmidt, R. de Mutsert, Michael Boehnke, Lili Milani, Alan F. Wright, Edith Hofer, Siim Sõber, Ahmad Vaez, Albert Hofman, Oscar H. Franco, Yongmei Liu, Tatijana Zemunik, Kenneth Rice, Veronique Vitart, Marina Ciullo, Niki Dimou, Morris J. Brown, Crysovalanto Mamasoula, A.M. Erzurumluoglu, Andrew A. Hicks, Ayush Giri, Dennis O. Mook-Kanamori, Home Office, UNIVERSITY OF OULU, Commission of the European Communities, Medical Research Council (MRC), Action on Hearing Loss, British Heart Foundation, National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, and UK DRI Ltd

Subjects
Genetics & Heredity, 0301 basic medicine, Netherlands Twin Register (NTR), Science & Technology, computer.internet_protocol, Million Veteran Program, Genome-wide association study, Computational biology, 06 Biological Sciences, Biology, Genetic analysis, 03 medical and health sciences, 030104 developmental biology, Genetics, Genome informatics, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Life Sciences & Biomedicine, computer, 11 Medical and Health Sciences, XML, Developmental Biology
Abstract

In the version of this article originally published, the name of author Martin H. de Borst was coded incorrectly in the XML. The error has now been corrected in the HTML version of the paper.

Published
2018

8. Correlation of pre-operative CT findings with surgical & histological tumor dissemination patterns at cytoreduction for primary advanced and relapsed epithelial ovarian cancer: A retrospective evaluation

Author

Andrea Rockall, Hani Gabra, Christina Fotopoulou, Katherine Nixon, Marina Evangelou, S. Nasser, Benjamin P Jones, A. Lazaridis, Maria Kyrgiou, and Ovarian Cancer Action

Subjects
FIGO Stage IIIC, DEBULKING SURGERY, Carcinoma, Ovarian Epithelial, 0302 clinical medicine, STAGE-III, 1114 Paediatrics And Reproductive Medicine, BENEFIT, Neoplasms, Glandular and Epithelial, PREDICTORS, Lymph node, Cr, Aged, 80 and over, Ovarian Neoplasms, 030219 obstetrics & reproductive medicine, Obstetrics and Gynecology, Obstetrics & Gynecology, Pre-operative imaging, Cytoreduction Surgical Procedures, Middle Aged, Debulking, medicine.anatomical_structure, Oncology, 030220 oncology & carcinogenesis, CONSECUTIVE PATIENTS, Female, Radiology, Life Sciences & Biomedicine, MRI, Adult, medicine.medical_specialty, RESECTION, CARCINOMA, PET/CT, 03 medical and health sciences, Ovarian cancer, medicine, Carcinoma, Humans, COMPUTED-TOMOGRAPHY, Oncology & Carcinogenesis, Aged, Retrospective Studies, Porta hepatis, PET-CT, Science & Technology, business.industry, Rectum, medicine.disease, Surgery, Lymph Nodes, Neoplasm Recurrence, Local, business, Tomography, X-Ray Computed, 1112 Oncology And Carcinogenesis
Abstract

Objectives Computed tomography (CT) is an essential part of preoperative planning prior to cytoreductive surgery for primary and relapsed epithelial ovarian cancer (EOC). Our aim is to correlate pre-operative CT results with intraoperative surgical and histopathological findings at debulking surgery. Methods We performed a systematic comparison of intraoperative tumor dissemination patterns and surgical resections with preoperative CT assessments of infiltrative disease at key resection sites, in women who underwent multivisceral debulking surgery due to EOC between January 2013 and December 2014 at a tertiary referral center. The key sites were defined as follows: diaphragmatic involvement(DI), splenic disease (SI), large (LBI) and small (SBI) bowel involvement, rectal involvement (RI), porta hepatis involvement (PHI), mesenteric disease (MI) and lymph node involvement (LNI). Results A total of 155 patients, mostly with FIGO stage IIIC disease (65%) were evaluated (primary=105, relapsed=50). Total macroscopic cytoreduction rates were: 89%. Pre-operative CT findings displayed high specificity across all tumor sites apart from the retroperitoneal lymph node status, with a specificity of 65%. The ability however of the CT to accurately identify sites affected by invasive disease was relatively low with the following sensitivities as relating to final histology: 32% (DI), 26% (SI), 46% (LBI), 44% (SBI), 39% (RI), 57% (PHI), 31% (MI), 63% (LNI). Conclusion Pre-operative CT imaging shows high specificity but low sensitivity in detecting tumor involvement at key sites in ovarian cancer surgery. CT findings alone should not be used for surgical decision making.

Published
2016

9. GENETIC ANALYSIS OF OVER ONE MILLION PEOPLE IDENTIFIES 535 NOVEL LOCI ASSOCIATED WITH BLOOD PRESSURE AND RISK OF CARDIOVASCULAR DISEASE

Author

T Esko, Mark J. Caulfield, Marina Evangelou, Jacklyn N. Hellwege, Paul Elliott, A. Metspalu, Niki Dimou, Raha Pazoki, Louise V. Wain, H. Gao, D. Mosen, Helen R. Warren, Michael R. Barnes, Ioanna Tzoulaki, Borbala Mifsud, Anil K. Giri, Georgios Ntritsos, and Evangelos Evangelou

Subjects
0301 basic medicine, Genetics, Physiology, business.industry, Genetic variants, Disease, Genetic analysis, Genetic architecture, 03 medical and health sciences, 030104 developmental biology, Blood pressure, Internal Medicine, Trait, Medicine, Cardiology and Cardiovascular Medicine, business
Abstract

Objective:Hypertension is the leading cause of cardiovascular morbidity. High blood pressure is highly heritable (∼30–50%), however all genetic variants identified so far only explain ∼3–4% of the trait variance. Hence much of the genetic architecture of blood pressure remains unexplained.Design and

Published
2018

10. Comparison of Methods for Competitive Tests of Pathway Analysis

Author

Augusto Rendon, Marina Evangelou, Willem H. Ouwehand, Frank Dudbridge, and Lorenz Wernisch

Subjects
Blood Platelets, lcsh:Medicine, Single-nucleotide polymorphism, Genome-wide association study, Biostatistics, Biology, Biochemistry, Signaling Pathways, Polymorphism, Single Nucleotide, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Molecular Cell Biology, Genetics, Genome-Wide Association Studies, Humans, Computer Simulation, Statistical Methods, lcsh:Science, 030304 developmental biology, Statistical hypothesis testing, 0303 health sciences, Multidisciplinary, Models, Genetic, Statistics, lcsh:R, Human Genetics, Molecular Sequence Annotation, Phenotype, Genetic architecture, Hypergeometric distribution, Metabolism, 030220 oncology & carcinogenesis, lcsh:Q, Metabolic Pathways, Null hypothesis, Mathematics, Algorithms, Metabolic Networks and Pathways, Function (biology), Research Article, Signal Transduction, Genome-Wide Association Study
Abstract

It has been suggested that pathway analysis can complement single-SNP analysis in exploring genomewide association data. Pathway analysis incorporates the available biological knowledge of genes and SNPs and is expected to improve the chances of revealing the underlying genetic architecture of complex traits. Methods for pathway analysis can be classified as competitive (enrichment) or self-contained (association) according to the hypothesis tested. Although association tests are statistically more powerful than enrichment tests they can be difficult to calibrate because biases in analysis accumulate across multiple SNPs or genes. Furthermore, enrichment tests can be more scientifically relevant than association tests, as they detect pathways with relatively more evidence for association than the remaining genes. Here we show how some well known association tests can be simply adapted to test for enrichment, and compare their performance to some established enrichment tests. We propose versions of the Adaptive Rank Truncated Product (ARTP), Tail Strength Measure and Fisher's combination of p-values for testing the enrichment null hypothesis. We compare the behaviour of these proposed methods with the established Hypergeometric Test and Gene-Set Enrichment Analysis (GSEA). The results of the simulation study show that the modified version of the ARTP method has generally the best performance across the situations considered. The methods were also applied for finding enriched pathways for body mass index (BMI) and platelet function phenotypes. The pathway analysis of BMI identified the Vasoactive Intestinal Peptide pathway as significantly associated with BMI. This pathway has been previously reported as associated with BMI and the risk of obesity. The ARTP method was the method that identified the largest number of enriched pathways across all tested pathway databases and phenotypes. The simulation and data application results are in agreement with previous work on association tests and suggests that the ARTP should be preferred for both enrichment and association testing.

Published
2012

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