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14 results on '"Jennifer G. Sambrook"'

1. A Method to Exploit the Structure of Genetic Ancestry Space to Enhance Case-Control Studies

Author

Corneliu A. Bodea, Benjamin M. Neale, Stephan Ripke, Mark J. Daly, Bernie Devlin, Kathryn Roeder, Murray Barclay, Laurent Peyrin-Biroulet, Mathias Chamaillard, Jean-Frederick Colombel, Mario Cottone, Anthony Croft, Renata D’Incà, Jonas Halfvarson, Katherine Hanigan, Paul Henderson, Jean-Pierre Hugot, Amir Karban, Nicholas A. Kennedy, Mohammed Azam Khan, Marc Lémann, Arie Levine, Dunecan Massey, Monica Milla, Grant W. Montgomery, Sok Meng Evelyn Ng, Ioannis Oikonomou, Harald Peeters, Deborah D. Proctor, Jean-Francois Rahier, Rebecca Roberts, Paul Rutgeerts, Frank Seibold, Laura Stronati, Kirstin M. Taylor, Leif Törkvist, Kullak Ublick, Johan Van Limbergen, Andre Van Gossum, Morten H. Vatn, Hu Zhang, Wei Zhang, Jane M. Andrews, Peter A. Bampton, Timothy H. Florin, Richard Gearry, Krupa Krishnaprasad, Ian C. Lawrance, Gillian Mahy, Graham Radford-Smith, Rebecca L. Roberts, Lisa A. Simms, Leila Amininijad, Isabelle Cleynen, Olivier Dewit, Denis Franchimont, Michel Georges, Debby Laukens, Emilie Theatre, André Van Gossum, Severine Vermeire, Guy Aumais, Leonard Baidoo, Arthur M. Barrie, Karen Beck, Edmond-Jean Bernard, David G. Binion, Alain Bitton, Steve R. Brant, Judy H. Cho, Albert Cohen, Kenneth Croitoru, Lisa W. Datta, Colette Deslandres, Richard H. Duerr, Debra Dutridge, John Ferguson, Joann Fultz, Philippe Goyette, Gordon R. Greenberg, Talin Haritunians, Gilles Jobin, Seymour Katz, Raymond G. Lahaie, Dermot P. McGovern, Linda Nelson, Sok Meng Ng, Kaida Ning, Pierre Paré, Miguel D. Regueiro, John D. Rioux, Elizabeth Ruggiero, L. Philip Schumm, Marc Schwartz, Regan Scott, Yashoda Sharma, Mark S. Silverberg, Denise Spears, A. Hillary Steinhart, Joanne M. Stempak, Jason M. Swoger, Constantina Tsagarelis, Clarence Zhang, Hongyu Zhao, Jan Aerts, Tariq Ahmad, Hazel Arbury, Anthony Attwood, Adam Auton, Stephen G. Ball, Anthony J. Balmforth, Chris Barnes, Jeffrey C. Barrett, Inês Barroso, Anne Barton, Amanda J. Bennett, Sanjeev Bhaskar, Katarzyna Blaszczyk, John Bowes, Oliver J. Brand, Peter S. Braund, Francesca Bredin, Gerome Breen, Morris J. Brown, Ian N. Bruce, Jaswinder Bull, Oliver S. Burren, John Burton, Jake Byrnes, Sian Caesar, Niall Cardin, Chris M. Clee, Alison J. Coffey, John M.C. Connell, Donald F. Conrad, Jason D. Cooper, Anna F. Dominiczak, Kate Downes, Hazel E. Drummond, Darshna Dudakia, Andrew Dunham, Bernadette Ebbs, Diana Eccles, Sarah Edkins, Cathryn Edwards, Anna Elliot, Paul Emery, David M. Evans, Gareth Evans, Steve Eyre, Anne Farmer, Nicol Ferrier, Edward Flynn, Alistair Forbes, Liz Forty, Jayne A. Franklyn, Timothy M. Frayling, Rachel M. Freathy, Eleni Giannoulatou, Polly Gibbs, Paul Gilbert, Katherine Gordon-Smith, Emma Gray, Elaine Green, Chris J. Groves, Detelina Grozeva, Rhian Gwilliam, Anita Hall, Naomi Hammond, Matt Hardy, Pile Harrison, Neelam Hassanali, Husam Hebaishi, Sarah Hines, Anne Hinks, Graham A. Hitman, Lynne Hocking, Chris Holmes, Eleanor Howard, Philip Howard, Joanna M.M. Howson, Debbie Hughes, Sarah Hunt, John D. Isaacs, Mahim Jain, Derek P. Jewell, Toby Johnson, Jennifer D. Jolley, Ian R. Jones, Lisa A. Jones, George Kirov, Cordelia F. Langford, Hana Lango-Allen, G. Mark Lathrop, James Lee, Kate L. Lee, Charlie Lees, Kevin Lewis, Cecilia M. Lindgren, Meeta Maisuria-Armer, Julian Maller, John Mansfield, Jonathan L. Marchini, Paul Martin, Dunecan C.O. Massey, Wendy L. McArdle, Peter McGuffin, Kirsten E. McLay, Gil McVean, Alex Mentzer, Michael L. Mimmack, Ann E. Morgan, Andrew P. Morris, Craig Mowat, Patricia B. Munroe, Simon Myers, William Newman, Elaine R. Nimmo, Michael C. O’Donovan, Abiodun Onipinla, Nigel R. Ovington, Michael J. Owen, Kimmo Palin, Aarno Palotie, Kirstie Parnell, Richard Pearson, David Pernet, John R.B. Perry, Anne Phillips, Vincent Plagnol, Natalie J. Prescott, Inga Prokopenko, Michael A. Quail, Suzanne Rafelt, Nigel W. Rayner, David M. Reid, Anthony Renwick, Susan M. Ring, Neil Robertson, Samuel Robson, Ellie Russell, David St Clair, Jennifer G. Sambrook, Jeremy D. Sanderson, Stephen J. Sawcer, Helen Schuilenburg, Carol E. Scott, Richard Scott, Sheila Seal, Sue Shaw-Hawkins, Beverley M. Shields, Matthew J. Simmonds, Debbie J. Smyth, Elilan Somaskantharajah, Katarina Spanova, Sophia Steer, Jonathan Stephens, Helen E. Stevens, Kathy Stirrups, Millicent A. Stone, David P. Strachan, Zhan Su, Deborah P.M. Symmons, John R. Thompson, Wendy Thomson, Martin D. Tobin, Mary E. Travers, Clare Turnbull, Damjan Vukcevic, Louise V. Wain, Mark Walker, Neil M. Walker, Chris Wallace, Margaret Warren-Perry, Nicholas A. Watkins, John Webster, Michael N. Weedon, Anthony G. Wilson, Matthew Woodburn, B. Paul Wordsworth, Chris Yau, Allan H. Young, Eleftheria Zeggini, Matthew A. Brown, Paul R. Burton, Mark J. Caulfield, Alastair Compston, Martin Farrall, Stephen C.L. Gough, Alistair S. Hall, Andrew T. Hattersley, Adrian V.S. Hill, Christopher G. Mathew, Marcus Pembrey, Jack Satsangi, Michael R. Stratton, Jane Worthington, Matthew E. Hurles, Audrey Duncanson, Willem H. Ouwehand, Miles Parkes, Nazneen Rahman, John A. Todd, Nilesh J. Samani, Dominic P. Kwiatkowski, Mark I. McCarthy, Nick Craddock, Panos Deloukas, Peter Donnelly, Jenefer M. Blackwell, Elvira Bramon, Juan P. Casas, Aiden Corvin, Janusz Jankowski, Hugh S. Markus, Colin N.A. Palmer, Robert Plomin, Anna Rautanen, Richard C. Trembath, Ananth C. Viswanathan, Nicholas W. Wood, Chris C.A. Spencer, Gavin Band, Céline Bellenguez, Colin Freeman, Garrett Hellenthal, Matti Pirinen, Amy Strange, Hannah Blackburn, Suzannah J. Bumpstead, Serge Dronov, Matthew Gillman, Alagurevathi Jayakumar, Owen T. McCann, Jennifer Liddle, Simon C. Potter, Radhi Ravindrarajah, Michelle Ricketts, Matthew Waller, Paul Weston, Sara Widaa, Pamela Whittaker, UCL - SSS/IREC/GAEN - Pôle d'Hépato-gastro-entérologie, UCL - (MGD) Service de gastro-entérologie, Institute for Molecular Medicine Finland, Aarno Palotie / Principal Investigator, and Genomics of Neurological and Neuropsychiatric Disorders

Subjects
0301 basic medicine, Heredity, Genetics, Genetics (clinical), Computer science, Genetic Linkage, Genome-wide association study, VARIANTS, 030105 genetics & heredity, computer.software_genre, Bayes' theorem, Gene Frequency, HISTORY, IMPUTATION, False positive paradox, Genetics(clinical), Disease, 0303 health sciences, education.field_of_study, 030305 genetics & heredity, Inheritance (genetic algorithm), Genotype, DATABASE, Genetic genealogy, POWER, Population, Genomics, POPULATION STRATIFICATION, Biology, INHERITANCE, Population stratification, Machine learning, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, education, Allele frequency, FAMILY-BASED ASSOCIATION, 030304 developmental biology, Genetic association, business.industry, Bayes Theorem, DISEASE ASSOCIATION, Human genetics, Hierarchical clustering, Genetics, Population, 030104 developmental biology, Case-Control Studies, 3111 Biomedicine, Artificial intelligence, business, computer, Software, Imputation (genetics)
Abstract

A. Palotie on työryhmän Int IBD Genetics Consortium jäsen. One goal of human genetics is to understand the genetic basis of disease, a challenge for diseases of complex inheritance because risk alleles are few relative to the vast set of benign variants. Risk variants are often sought by association studies in which allele frequencies in case subjects are contrasted with those from population-based samples used as control subjects. In an ideal world we would know population-level allele frequencies, releasing researchers to focus on case subjects. We argue this ideal is possible, at least theoretically, and we outline a path to achieving it in reality. If such a resource were to exist, it would yield ample savings and would facilitate the effective use of data repositories by removing administrative and technical barriers. We call this concept the Universal Control Repository Network (UNICORN), a means to perform association analyses without necessitating direct access to individual-level control data. Our approach to UNICORN uses existing genetic resources and various statistical tools to analyze these data, including hierarchical clustering with spectral analysis of ancestry; and empirical Bayesian analysis along with Gaussian spatial processes to estimate ancestry-specific allele frequencies. We demonstrate our approach using tens of thousands of control subjects from studies of Crohn disease, showing how it controls false positives, provides power similar to that achieved when all control data are directly accessible, and enhances power when control data are limiting or even imperfectly matched ancestrally. These results highlight how UNICORN can enable reliable, powerful, and convenient genetic association analyses without access to the individual-level data.

Published
2016

2. Hundreds of variants clustered in genomic loci and biological pathways affect human height

Author

Vilmundur Gudnason, Robert J. Weyant, Robert C. Kaplan, Jeffrey R. O'Connell, Panos Deloukas, Barbara McKnight, Alessandro De Grandi, Gert-Jan B. van Ommen, Eric Boerwinkle, Liming Liang, Douglas F. Levinson, Richard B. Hayes, Mark I. McCarthy, Andrew P. Morris, Joel N. Hirschhorn, Jaakko Kaprio, Nilesh J. Samani, Inke R. König, Frank B. Hu, Nicholas J. Wareham, Ozren Polasek, Michael C. Turchin, Daniel F. Gudbjartsson, Wilmar Igl, Vincent Mooser, Aki S. Havulinna, Themistocles L. Assimes, Cameron D. Palmer, Lachlan J. M. Coin, Eva Albrecht, Hana Lango Allen, Inês Barroso, Eco J. C. de Geus, H.-Erich Wichmann, Michael A. Province, Sarah H. Wild, Patricia B. Munroe, Jeanette Erdmann, Mattias Lorentzon, Michael Preuss, Nelson B. Freimer, Mika Kähönen, Tushar Bhangale, Nicole L. Glazer, Markku S. Nieminen, Andrew A. Hicks, Jonathan Tyrer, Grant W. Montgomery, Ruth J. F. Loos, Shaun Purcell, Manfred Kayser, Marjo-Riitta Järvelin, Guillaume Paré, Terho Lehtimäki, Irene Pichler, Ida Surakka, Tõnu Esko, Peter Kraft, Talin Haritunians, Juha Sinisalo, Mari Nelis, Veronique Vitart, Alan R. Sanders, Alistair S. Hall, Carlos Iribarren, Mark E. Cooper, André G. Uitterlinden, Peter Kovacs, David Schlessinger, Florian Ernst, Marja-Liisa Lokki, M. Juhani Junttila, Martin Ridderstråle, Jorma Viikari, Inga Prokopenko, Christopher J. O'Donnell, Jennie Hui, Aila Rissanen, Gonçalo R. Abecasis, Jouke-Jan Hottenga, Tomi Pastinen, Kevin B. Jacobs, Jan Smit, Kristin G. Ardlie, Niina Pellikka, Neil R. Robertson, Martina Müller, John F. Peden, Mary F. Feitosa, Thomas W. Winkler, Kari Stefansson, Jianjun Liu, Jaana Laitinen, Shen Haiqing, Martin Farrall, Nilanjan Chatterjee, Eleanor Wheeler, Tamara B. Harris, Åsa Johansson, Anders Hamsten, Elizabeth K. Speliotes, Larry D. Atwood, Valgerdur Steinthorsdottir, Elin Grundberg, Nicole Soranzo, Anna-Liisa Hartikainen, Devin Absher, Cecilia M. Lindgren, Rany M. Salem, Lorena Citterio, Karol Estrada, Sven Bergmann, Tony Kwan, Thomas Meitinger, Alan F. Wright, Richard N. Bergman, Sailaja Vedantam, Kirsi H. Pietiläinen, Lina Zgaga, Anne U. Jackson, Stefan Schreiber, Ju-Hyun Park, Nicola Glorioso, Jianxin Shi, Najaf Amin, Dale R. Nyholt, Lenore J. Launer, Heribert Schunkert, Thomas Quertermous, Mari Liis Tammesoo, Dorret I. Boomsma, Harry Campbell, Albert V. Smith, Andrew R. Wood, Caroline S. Fox, Paavo Zitting, Gabrielle Boucher, Alex N. Parker, Jennifer G. Sambrook, Joyce B. J. van Meurs, Heather M. Stringham, Marjolein J. Peters, Sekar Kathiresan, Elisabeth Widen, Caroline Hayward, Tim D. Spector, Dawn M. Waterworth, Carlo Rivolta, Antti Jula, Albert Hofman, Hugh Watkins, Wendy L. McArdle, Roberto Elosua, Markku Koiranen, Paul M. Ridker, Iris M. Heid, Lee M. Kaplan, Brenda W.J.H. Penninx, Peter M. Visscher, Claes Ohlsson, Per Hall, Benjamin F. Voight, Ben A. Oostra, Anna F. Dominiczak, Martin den Heijer, Andrea Maschio, Quince Gibson, Peter P. Pramstaller, Nigel W. Rayner, Carsten Oliver Schmidt, Toby Johnson, Henrik Grönberg, M. Carola Zillikens, Alan R. Shuldiner, Cornelia M. van Duijn, Samuli Ripatti, Erik Ingelsson, John R. Thompson, Stephen J. Chanock, Johannes Kettunen, David J. Hunter, Lyle J. Palmer, Ulf Gyllensten, Jianfeng Xu, Astrid Petersmann, Johan G. Eriksson, Guillaume Lettre, Teresa Ferreira, Fredrik Wiklund, Andreas Ziegler, Andres Metspalu, Jerome I. Rotter, Suzanne Rafelt, Julius S. Ngwa, Francis S. Collins, Michael N. Weedon, Thomas Illig, Wolfgang Hoffman, Nancy L. Heard-Costa, Anke Tönjes, Daniel I. Chasman, Alice M. Arnold, Olli T. Raitakari, Anna L. Dixon, Lu Qi, Michael E. Goddard, Anneli Pouta, Mark J. Caulfield, Liesbeth Vandenput, Christian Gieger, L. Adrienne Cupples, Veikko Salomaa, Elizabeth L. Altmaier, Nicholas G. Martin, Thomas D. Kocher, Jubao Duan, David S. Siscovick, Heikki V. Huikuri, Willem H. Ouwehand, Kari E. North, Christian Hengstenberg, Jacques S. Beckmann, Constance Chen, John Perry, Ana Marušić, Olle Melander, John D. Rioux, Erika Salvi, Andrew T. Hattersley, Paul Elliott, Leif Groop, Cristen J. Willer, Manuela Uda, Gudmar Thorleifsson, Eric E. Schadt, Charles C. White, Pablo V. Gejman, Serena Sanna, Ulla Sovio, Robert W. Lawrence, Unnur Thorsteinsdottir, Ayellet V. Segrè, Daniele Cusi, G. Bragi Walters, Ken Sin Lo, Ivana Kolcic, Igor Rudan, Sonja I. Berndt, Keri L. Monda, Soumya Raychaudhuri, Jian'an Luan, Joshua C. Randall, Anthony J. Balmforth, Yurii S. Aulchenko, Peter Almgren, Karen L. Mohlke, Timothy M. Frayling, Shamika Ketkar, Thomas H. Mosley, Markus Perola, Henry Völzke, Laura Zagato, Leena Peltonen, Seppo Koskinen, Massimo Mangino, Ke Hao, Tsegaselassie Workalemahu, Lambertus A. Kiemeney, Helene Alavere, Jaakko Tuomilehto, Reedik Mägi, James F. Wilson, Ingrid B. Borecki, Zoltán Kutalik, Michael Stumvoll, Dominique J. Verlaan, Arthur W. Musk, Eero Kajantie, Jian Yang, Joshua W. Knowles, Tuomas O. Kilpeläinen, Michael Boehnke, G. Mark Lathrop, John Beilby, Fernando Rivadeneira, Gudny Eiriksdottir, Gonneke Willemsen, Andrew C. Heath, Antonella Mulas, Katja K.H. Aben, David P. Strachan, Thor Aspelund, Jing Hua Zhao, Psychiatry, NCA - Anxiety & Depression, EMGO - Mental health, Internal Medicine, Epidemiology, Intensive Care, Clinical Genetics, Genetic Identification, Medical Research Council (MRC), Biological Psychology, Neuroscience Campus Amsterdam - Anxiety & Depression, EMGO+ - Mental Health, Genetics of Complex Traits, University of Exeter, Department of Epidemiology, Erasmus Medical Centre, Netherlands Genomics Initiative (NGI), Netherlands Genomics Initiative, Department of Medicine, Montreal, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Biostatistics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, deCODE Genetics, deCODE genetics [Reykjavik], Divisions of Genetics and Endocrinology and Program in Genomics, Boston Children's Hospital, Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Institut de Génomique d'Evry (IG), Institut de Biologie François JACOB (JACOB), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, the Genetic Investigation of ANthropocentric Traits (GIANT) Consortium, Université Paris-Saclay-Institut de Biologie François JACOB (JACOB), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)

Subjects
Netherlands Twin Register (NTR), Multifactorial Inheritance, [SDV]Life Sciences [q-bio], Genome-wide association study, Aetiology, screening and detection [ONCOL 5], 0302 clinical medicine, POPULATION, SNPS, Genetics, 0303 health sciences, Multidisciplinary, HERITABILITY, COMMON VARIANTS, Phenotype, DISEASES, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Science & Technology - Other Topics, GROWTH, Allelic heterogeneity, Chromosomes, Human, Pair 3, Metabolic Networks and Pathways, TRAITS, Common disease-common variant, General Science & Technology, Locus (genetics), Biology, Polymorphism, Single Nucleotide, Article, Molecular epidemiology [NCEBP 1], 03 medical and health sciences, SDG 3 - Good Health and Well-being, ADULT, STRATIFICATION, MD Multidisciplinary, Humans, Genetic Predisposition to Disease, Genetic variability, 030304 developmental biology, Science & Technology, MULTIDISCIPLINARY SCIENCES, Genome, Human, Hormonal regulation [IGMD 6], Body Height, Genetic architecture, wide association analysis common variants heritability population adult stratification diseases traits growth snps, WIDE ASSOCIATION ANALYSIS, Genetic Loci, Evaluation of complex medical interventions [NCEBP 2], Polygene, Expression quantitative trait loci, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits1, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait2,3. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways ( P=0.016) and that underlie skeletal growth defects ( P

Published
2010

3. Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium

Author

Jerome I. Rotter, Abbas Dehghan, Gang Zheng, Willem H. Ouwehand, Caroline S. Fox, Jack M. Guralnik, Tamara B. Harris, Toshiko Tanaka, Andrew E. Jaffe, Albert Hofman, Andrew B. Singleton, Jing-Ping Lin, Joshua C. Bis, Santhi K. Ganesh, Christian Gieger, Christa Meisinger, Jaap Jan Zwaginga, Mary Cushman, Matthias Nauck, Aravinda Chakravarti, Gudny Eiriksdottir, Daniel Levy, Kenneth Rice, Swee Lay Thein, Augusto Rendon, Vilmundur Gudnason, Luigi Ferrucci, Frank J. A. van Rooij, Jennifer G. Sambrook, Andreas Greinacher, Dena G. Hernandez, Jacqueline C.M. Witteman, Lenore J. Launer, Qiong Yang, Thor Aspelund, Panos Deloukas, Eric Boerwinkle, Ben A. Oostra, Germaine C. Verwoert, Cornelia M. van Duijn, Albert V. Smith, Thomas Lumley, Anna Köttgen, Nicole L. Glazer, André G. Uitterlinden, Janine M. Vangils, Ming-Huei Chen, Georg Ehret, Janine F. Felix, Mike A. Nalls, Kushang V. Patel, Alexander Teumer, L. Adrienne Cupples, Susan L. Furth, Christopher J. O'Donnell, Josef Coresh, Tim D. Spector, Brigitte Kühnel, Stefania Bandinelli, Neil A. Zakai, Nicole Soranzo, Bruce M. Psaty, Ehret, Georg Benedikt, Epidemiology, Internal Medicine, and Clinical Genetics

Subjects
Quantitative Trait Loci, Gene Expression, Mean corpuscular hemoglobin, Genome-wide association study, Endothelial Cells/metabolism, Biology, Quantitative trait locus, Hematocrit, Polymorphism, Single Nucleotide, Article, Cell Line, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Genetics, medicine, Humans, Genome-Wide Association Study, Erythrocytes/metabolism, Mean corpuscular volume, 030304 developmental biology, Genetic association, ddc:616, 0303 health sciences, medicine.diagnostic_test, Mean corpuscular hemoglobin concentration, Genome, Human, 3. Good health, Blood Pressure/*genetics, Phenotype, 030220 oncology & carcinogenesis, Hypertension/*genetics, Hemoglobin
Abstract

Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 x 10(-8) to 7 x 10(-86)). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures.

Published
2009

4. Characterisation of a gene cluster in Fugu rubripes containing the complement component C4 gene

Author

Jennifer G. Sambrook, Greg Elgar, and R. Duncan Campbell

Subjects
Sequence analysis, Molecular Sequence Data, Takifugu, Contig Mapping, Exon, Gene Order, MHC class I, Genetics, CSNK2B, Amino Acid Sequence, education, Gene, Phylogeny, education.field_of_study, Sequence Homology, Amino Acid, biology, Fugu, fungi, Complement C4, Tenascin, Complement C3, DNA, Sequence Analysis, DNA, General Medicine, biology.organism_classification, Multigene Family, Allograft inflammatory factor 1, biology.protein, Steroid 21-Hydroxylase, Sequence Alignment
Abstract

In this study, we describe the characterisation of the complement component C4 gene in Fugu rubripes. The Fugu C4 gene, orthologous to the tetrapod C4 gene, encompasses a genomic span of 9702 base pairs and contains 41 exons, encoding the typical C4 three-chain polypeptide. The gene encodes a protein containing 1703 amino acids. The Fugu C4 protein demonstrates the presence of 25 conserved cysteine residues, as well as conservation of the functionally important thioester site. Complete sequencing of one cosmid and sequence scans from a cluster of 18 overlapping BAC clones, centering around the C4 gene, have identified the short-range linkage with five orthologous human genes mapping to the Major Histocompatibility Complex (MHC) including: tenascin X (TNX); cytochrome P450, subfamily XXIA, polypeptide 2 (CYP21A2); allograft inflammatory factor 1 (AIF1) and casein kinase 2, beta polypeptide (CSNK2B), all found in the MHC class III region; and retinoid X receptor, beta (RXRB),which resides in the MHC extended class II region. To date, this syntenic association of the Fugu C4 and other MHC class III region genes has not been observed in other teleost fish. Data from the recent whole-genome shotgun assemblies reveal the Fugu MHC-related cluster of genes to be flanked predominantly by genes mapping to human chromosomes 7 and 19. All of the six identified Fugu MHC-related genes have been characterised at the genomic level.

Published
2003

5. The LRC haplotype project: a resource for killer immunoglobulin-like receptor-linked association studies

Author

Jennifer G. Sambrook, Rosemary Ward, Jen Harrow, Sarah Sims, Sophie Palmer, Jane Rogers, James A. Traherne, Harminder Sehra, Stephan Beck, Penny Coggill, Mary Carrington, John Trowsdale, Roger Horton, and Marcos Mateo Miretti

Subjects
Genetic Research, Receptor complex, Immunology, Human leukocyte antigen, Major histocompatibility complex, Biochemistry, Article, Receptors, KIR, Databases, Genetic, Genetic variation, Genetics, Humans, Immunology and Allergy, Receptors, Immunologic, Gene, Genetic association, Internet, biology, Haplotype, Chromosome Mapping, Genetic Variation, General Medicine, Haplotypes, biology.protein, Epistasis
Abstract

There is increasing evidence for epistatic interactions between gene products (e.g. KIR) encoded within the Leukocyte Receptor Complex (LRC) with those (e.g. HLA) of the Major Histocompatibility Complex (MHC), resulting in susceptibility to disease. Identification of such associations at the DNA level requires comprehensive knowledge of the genetic variation and haplotype structure of the underlying loci. The LRC haplotype project aims to provide this knowledge by sequencing common LRC haplotypes.

Published
2006

6. Supplementary Material 1

Author

Henry Völzke, Tõnu Esko, Ken K. Ong, Aldi T. Kraja, Anne U. Jackson, Meena Kumari, Eva Albrecht, Rona J. Strawbridge, Antti Jula, Mark J. Caulfield, Alistair S. Hall, Karol Estrada, Jennifer L. Bolton, Teresa Ferreira, Inger Njølstad, Thomas W. Winkler, Ross M. Fraser, Daniel I. Chasman, Maris Teder-Laving, Yii-Der Ida Chen, Claudia Langenberg, Kevin B. Jacobs, Jennifer G. Sambrook, Evelin Mihailov, Peter Kovacs, Susanne Moebus, Jouke-Jan Hottenga, George Dedoussis, Gudmar Thorleifsson, Sirkka M. Keinanen Kiukaanniemi, Matti Uusitupa, Denise Anderson, Lindsay L. Waite, Johan G. Eriksson, Mustafa Atalay, Kari Stefansson, Amélie Bonnefond, Gerry Fowkes, Tove Fall, Dmitry Shungin, Stephan J. L. Bakker, Tamara B. Harris, Thomas Illig, Wolfgang Koenig, Heribert Schunkert, Caroline S. Fox, Gabrielle Boucher, Sonja I. Berndt, Timo Saaristo, Maria Dimitriou, Pim van der Harst, Christina Loley, John Yarnell, Rainer Rauramaa, Sarah Edkins, Jaakko Tuomilehto, Karen L. Mohlke, Damien C. Croteau Chonka, Reedik Mägi, Olli T. Raitakari, Kathleen Stirrups, Aroon D. Hingorani, Inga Prokopenko, Henrik Grönberg, Marcus E. Kleber, Massimo Mangino, Michael A. Province, Markus M. Nöthen, Patricia B. Munroe, Francis S. Collins, Jeanette Erdmann, Mattias Lorentzon, Lynda M. Rose, Jon P. Krohn, Paul M. Ridker, M. Carola Zillikens, Jouko Saramies, Andrew Wong, Anuj Goel, Christa Buechler, Chris Power, Iain Mathieson, Bernhard O. Boehm, Jonathan Tyrer, Fredrik Karpe, Lu Qi, Nicholas G. Martin, Kristian Hveem, Jackie F. Price, Martin Farrall, Albert V. Smith, Mary F. Feitosa, Caroline Hayward, Juha Sinisalo, Stavroula Kanoni, Elina Hyppönen, Christian Hengstenberg, Lori L. Bonnycastle, Ilja M. Nolte, Sonali Pechlivanis, Barbara Thorand, Patrik K. E. Magnusson, Cristina Barlassina, Andrew A. Hicks, Genovefa Kolovou, Melanie M. van der Klauw, Markus Perola, Tsegaselassie Workalemahu, Ida Surakka, Veikko Salomaa, Andrea Ganna, Timothy M. Frayling, Iris M. Heid, Brenda W.J.H. Penninx, Stephen J. Chanock, Jeffrey R. O'Connell, Tom Wilsgaard, Alan R. Shuldiner, David J. Hunter, Deborah J. Clegg, Toby Johnson, Cornelia M. van Duijn, Samuli Ripatti, David P. Strachan, Lyle J. Palmer, Alexander Teumer, Kari E. North, L. Adrienne Cupples, Carlos Iribarren, Anna-Liisa Hartikainen, Andrew R. Wood, Lambertus A. Kiemeney, Ulf Gyllensten, Jennie Hui, Tim D. Spector, Paul W. Franks, Andrew D. Morris, Ruth J. F. Loos, George Nicholson, Felix R. Day, Kati Kristiansson, Talin Haritunians, Martina Müller-Nurasyid, Sailaja Vedantam, Pablo V. Gejman, Martin den Heijer, Andrea Maschio, Anke Tönjes, Kari Kuulasmaa, Raimund Erbel, Markku Laakso, Devin Absher, Narisu Narisu, Zhaoming Wang, Jing Hua Zhao, Thomas N. Person, Irene Mateo Leach, Mark I. McCarthy, Albert Hofman, Joel N. Hirschhorn, H.-Erich Wichmann, Nicholas J. Wareham, André Scherag, Jarmo Virtamo, James F. Wilson, Gonçalo R. Abecasis, Winfried März, Nilesh J. Samani, Timo A. Lakka, Jacques S. Beckmann, Harold Snieder, Adam E. Locke, Hanneke Basart, Grant W. Montgomery, Robert C. Kaplan, Claudia Lamina, Sekar Kathiresan, Mika Kivimäki, Leif Groop, Emil Rehnberg, Jana V. Van Vliet Ostaptchouk, Ingrid B. Borecki, Sabrina Bauer, Terho Lehtimäki, Steve E. Humphries, Zoltán Kutalik, Kees Hovingh, Carolina Medina-Gomez, Panos Deloukas, Antony P. Attwood, Kay-Tee Khaw, Per Hall, Jaakko Kaprio, Jian Yang, Tuomas O. Kilpeläinen, Andres Metspalu, Igor Rudan, Michael Boehnke, Ben A. Oostra, Jaana Lindström, André G. Uitterlinden, Peter Schwarz, Keri L. Monda, John Beilby, Fernando Rivadeneira, Emmanouil T. Dermitzakis, Dominique Arveiler, Valgerdur Steinthorsdottir, Jian'an Luan, Cecilia M. Lindgren, Guo Li, Bruna Gigante, Göran Hallmans, Liming Liang, Peter S. Chines, Sarah E. Medland, Joseph Hung, Peter P. Pramstaller, Ulf de Faire, Joshua C. Randall, Nancy L. Pedersen, Wendy L. McArdle, Unnur Thorsteinsdottir, Bernhard R. Winkelmann, Kaarel KrjutÅ¡kov, Philippe Froguel, Harry Campbell, Dorret I. Boomsma, Harald Grallert, Nancy L. Heard Costa, Shengxu Li, Amy J. Swift, Diana Kuh, Gerjan Navis, Christian Gieger, Heikki V. Huikuri, Niina Eklund, Anders Hamsten, Elizabeth K. Speliotes, Josine L. Min, Hendrik B. Sager, Stefan Gustafsson, Antigone S. Dimas, Elena Tremoli, Carlo Rivolta, Jianxin Shi, Najaf Amin, Claes Ohlsson, Johanna Kuusisto, Giancarlo Cesana, Lars Lind, Stefan R. Bornstein, Erik Ingelsson, Colin N. A. Palmer, Marjo-Riitta Järvelin, Krista Fischer, Annette Peters, David Schlessinger, Themistocles L. Assimes, Inês Barroso, Kristina Eisinger, Marja-Liisa Lokki, Jennifer Jolley, and Åsa Johansson

Subjects
Cultural Studies, Archeology, History, Chemistry, Cystolith, medicine, Magnesium ammonium phosphate, Bladder stones, medicine.disease, Nuclear chemistry
Published
2013

7. The serotonin transporter gene polymorphism and the effect of baseline on amygdala response to emotional faces

Author

Andrew J. Calder, Jennifer G. Sambrook, Luca Passamonti, Sarah Nutland, and Elisabeth A. H. von dem Hagen

Subjects
Male, Emotions, Tonic (physiology), Behavioral Neuroscience, chemistry.chemical_compound, 0302 clinical medicine, Mental Processes, Reference Values, Neurotransmitter, Evoked Potentials, Serotonin transporter, Serotonin Plasma Membrane Transport Proteins, 0303 health sciences, biology, Homozygote, fMRI, Amygdala, Magnetic Resonance Imaging, Facial expressions, Facial Expression, medicine.anatomical_structure, behavior and behavior mechanisms, Female, Analysis of variance, Psychology, psychological phenomena and processes, Adult, medicine.medical_specialty, Heterozygote, Serotonin, Cognitive Neuroscience, Experimental and Cognitive Psychology, Article, 03 medical and health sciences, Young Adult, Internal medicine, mental disorders, medicine, Humans, 030304 developmental biology, Facial expression, Analysis of Variance, Polymorphism, Genetic, Functional imaging, Endocrinology, chemistry, nervous system, biology.protein, Neuroscience, 030217 neurology & neurosurgery
Abstract

Research highlights ▶ 5-HTTLPR short allele carriers have greater amygdala response to emotional stimuli. ▶ Increased amygdala activity in s-carriers is consistent regardless of baseline. ▶ The results support a largely phasic model of 5-HTTLPR-mediated amygdala modulation., Previous research has found that a common polymorphism in the serotonin transporter gene (5-HTTLPR) is an important mediator of individual differences in brain responses associated with emotional behaviour. In particular, relative to individuals homozygous for the l-allele, carriers of the s-allele display heightened amygdala activation to emotional compared to non-emotional stimuli. However, there is some debate as to whether this difference is driven by increased activation to emotional stimuli, resting baseline differences between the groups, or decreased activation to neutral stimuli. We performed functional imaging during an implicit facial expression processing task in which participants viewed angry, sad and neutral faces. In addition to neutral faces, we included two further baseline conditions, houses and fixation. We found increased amygdala activation in s-allele carriers relative to l-homozygotes in response to angry faces compared to neutral faces, houses and fixation. When comparing neutral faces to houses or fixation, we found no significant difference in amygdala response between the two groups. In addition, there was no significant difference between the groups in response to fixation when compared with a houses baseline. Overall, these results suggest that the increased amygdala response observed in s-allele carriers to emotional faces is primarily driven by an increased response to emotional faces rather than a decreased response to neutral faces or an increased resting baseline. The results are discussed in relation to the tonic and phasic hypotheses of 5-HTTLPR-mediated modulation of amygdala activity.

Published
2010

8. Evolutionary vignettes of natural killer cell receptors

Author

Jennifer G. Sambrook and Stephan Beck

Subjects
Innate immune system, Immunology, Histocompatibility Antigens Class I, Pattern recognition receptor, chemical and pharmacologic phenomena, Immune receptor, biochemical phenomena, metabolism, and nutrition, Biology, Acquired immune system, Immunological synapse, Natural killer cell, Evolution, Molecular, Killer Cells, Natural, Immune system, medicine.anatomical_structure, Receptors, KIR, medicine, bacteria, Immunology and Allergy, Animals, Humans, Receptors, Immunologic, Receptor
Abstract

The discovery of novel immune receptors has led to a recent renaissance of research into the innate immune system, following decades of intense research of the adaptive immune system. Of particular interest has been the discovery of the natural killer (NK) cell receptors which, depending on type, interact with classical or non-classical MHC class I antigens of the adaptive immune system, thus functioning at the interface of innate and adaptive immunity. Here, we review recent progress with respect to two such families of NK receptors, the killer immunoglobulin-like receptors (KIRs) and the killer cell lectin-like receptors (KLRs), and attempt to trace their evolution across vertebrates.

Published
2007

9. Identification of a single killer immunoglobulin-like receptor (KIR) gene in the porcine leukocyte receptor complex on chromosome 6q

Author

Penny Coggill, Jennifer G. Sambrook, Sophie Palmer, Haru-Hisa Takamatsu, Thomas Wileman, Sean Humphray, Sarah Sims, Alan Archibald, Stephan Beck, and Harminder Sehra

Subjects
Genetics, Receptor complex, Immunology, Molecular Sequence Data, Sus scrofa, chemical and pharmacologic phenomena, Immunoglobulin domain, Biology, Major histocompatibility complex, Chromosomes, KIR2DL1, Receptors, KIR, Receptors, KIR2DL1, biology.protein, Leukocytes, Gene family, Animals, Amino Acid Sequence, Receptors, Immunologic, Receptor, Gene, Phylogeny, Synteny
Abstract

Human killer immunoglobulin-like receptors (KIR) are expressed on natural killer (NK) cells and are involved in their immunoreactivity. While KIR with a long cytoplasmic tail deliver an inhibitory signal when bound to their respective major histocompatibility complex class I ligands, KIR with a short cytoplasmic tail can activate NK responses. The expansion of the KIR gene family originally appeared to be a phenomenon restricted to primates (human, apes, and monkeys) in comparison to rodents, which via convergent evolution have numerous C-type lectin-like Ly49 molecules that function analogously. Further studies have shown that multiple KIR are also present in cow and horse. In this study, we have identified by comparative genomics the first and possibly only KIR gene, named KIR2DL1, in the domesticated pig (Sus scrofa) allowing further evolutionary comparisons to be made. It encodes a protein with two extracellular immunoglobulin domains (D0 + D2), and a long cytoplasmic tail containing two inhibitory motifs. We have mapped the pig KIR2DL1 gene to chromosome 6q. Flanked by LILRa, LILRb, and LILRc, members of the leukocyte immunoglobulin-like receptor (LILR) family, on the centromeric end, and FCAR, NCR1, NALP7, NALP2, and GP6 on the telomeric end, pig demonstrates conservation of synteny with the human leukocyte receptor complex (LRC). Both the porcine KIR and LILR genes have diverged sufficiently to no longer be clearly orthologous with known human LRC family members.

Published
2006

10. A genome-wide survey of Major Histocompatibility Complex (MHC) genes and their paralogues in zebrafish

Author

Jennifer G. Sambrook, Felipe Figueroa, and Stephan Beck

Subjects
DNA, Complementary, lcsh:QH426-470, Genetic Linkage, lcsh:Biotechnology, Molecular Sequence Data, chemical and pharmacologic phenomena, Major histocompatibility complex, Genome, Major Histocompatibility Complex, 03 medical and health sciences, 0302 clinical medicine, Genetic linkage, lcsh:TP248.13-248.65, Chromosome 19, Gene Duplication, Genetics, Animals, Cluster Analysis, Humans, Zebrafish, Gene, 030304 developmental biology, 0303 health sciences, Models, Statistical, Polymorphism, Genetic, biology, Genome, Human, Chromosome Mapping, DNA, Genomics, biology.organism_classification, lcsh:Genetics, Haplotypes, Peptide transport, biology.protein, Human genome, Software, 030215 immunology, Biotechnology, Research Article
Abstract

BackgroundThe genomic organisation of the Major Histocompatibility Complex (MHC) varies greatly between different vertebrates. In mammals, the classical MHC consists of a large number of linked genes (e.g. greater than 200 in humans) with predominantly immune function. In some birds, it consists of only a small number of linked MHC core genes (e.g. smaller than 20 in chickens) forming a minimal essential MHC and, in fish, the MHC consists of a so far unknown number of genes including non-linked MHC core genes. Here we report a survey of MHC genes and their paralogues in the zebrafish genome.ResultsUsing sequence similarity searches against the zebrafish draft genome assembly (Zv4, September 2004), 149 putative MHC gene loci and their paralogues have been identified. Of these, 41 map to chromosome 19 while the remaining loci are spread across essentially all chromosomes. Despite the fragmentation, a set of MHC core genes involved in peptide transport, loading and presentation are still found in a single linkage group.ConclusionThe results extend the linkage information of MHC core genes on zebrafish chromosome 19 and show the distribution of the remaining MHC genes and their paralogues to be genome-wide. Although based on a draft genome assembly, this survey demonstrates an essentially fragmented MHC in zebrafish.

Published
2005

11. Single haplotype analysis demonstrates rapid evolution of the killer immunoglobulin-like receptor (KIR) loci in primates

Author

John Trowsdale, Sophie Palmer, Jennifer G. Sambrook, Stephan Beck, Mary Carrington, Laurent Abi-Rached, Peter Parham, Arman Bashirova, and Sarah Sims

Subjects
Most recent common ancestor, Genetic Markers, Primates, Receptor complex, Pan troglodytes, Sequence analysis, Molecular Sequence Data, chemical and pharmacologic phenomena, Biology, Evolution, Molecular, Receptors, KIR, Gene duplication, Genetics, otorhinolaryngologic diseases, Gene family, Animals, Humans, Amino Acid Sequence, Letters, Receptors, Immunologic, Gene, Genetics (clinical), Phylogeny, Repetitive Sequences, Nucleic Acid, Genome, Genome, Human, Haplotype, Genetic Variation, hemic and immune systems, Macaca mulatta, Killer Cells, Natural, Genes, Haplotypes, Human genome
Abstract

The human killer immunoglobulin-like receptors (KIR) are encoded within the Leukocyte Receptor Complex (LRC) on chromosome 19q13.4. Here we report the comparative genomic analysis of single KIR haplotypes in two other primates. In the common chimpanzee (Pan troglodytes), seven KIR genes (ptKIRnewI, ptKIRnewII, ptKIR2DL5, ptKIRnewIII, ptKIR3DP1, ptKIR2DL4, ptKIR3DL1/2) have been identified, and five KIR genes (mmKIRnewI, mmKIR1D, mmKIR2DL4, mmKIR3DL10, mmKIR3DL1) are present in the haplotype sequenced for the rhesus macaque (Macaca mulatta). Additional cDNA analysis confirms the genes predicted from the genomic sequence and reveals the presence of a fifth novel KIR gene (mmKIRnewII) in the second haplotype of the rhesus macaque. While all known human haplotypes contain both activating and inhibitory KIR genes, only inhibitory KIR genes (characterized by long cytoplasmic tails) were found by in silico and cDNA analyses in the two primate haplotypes studied here. Comparison of the two human and the two non-human primate haplotypes demonstrates rapid diversification of the KIR gene family members, many of which have diverged in a species-specific manner. An analysis of the intronic regions of the two non-human primates reveals the presence of ancient repeat elements, which are indicative of the duplication events that have taken place since the last common ancestor.

Published
2005

12. Fugu orthologues of human major histocompatibility complex genes: a genome survey

Author

Yagnesh Umrania, Melody S. Clark, Jennifer G. Sambrook, R. Duncan Campbell, Yvonne J. K. Edwards, Roslin Russell, and Greg Elgar

Subjects
Immunology, Genes, MHC Class II, Genes, MHC Class I, Locus (genetics), Biology, Major histocompatibility complex, Takifugu, Genome, Major Histocompatibility Complex, Antigen, Species Specificity, MHC class I, Genetics, Animals, Humans, Gene, Phylogeny, Zebrafish, Fugu, Chromosome Mapping, biology.organism_classification, Biological Evolution, biology.protein
Abstract

The major histocompatibility complex (MHC) region in fish has been subjected to piecemeal analysis centering on the in-depth characterization of single genes. The emphasis has been on those genes proven to be involved in the immune response such as the class I and class II antigen presenting genes and the complement genes. The Fugu genome data presents the opportunity to examine the short-range linkage of potentially all the human MHC orthologues and examine conserved synteny with the human and, to a more limited extent, zebrafish genomes. Analysis confirms the existence of a limited MHC locus in Fugu comprising the MHC class Ia genes and associated class II region genes involved in class I antigen presentation. Identification of additional human MHC orthologues indicates the completely dispersed nature of this region in fish, with a maximum of six MHC genes maintained within close proximity in any one contig. The majority of the other genes are present in the genome data as either singletons or pairs. Comparison with zebrafish substantiates previously observed linkages between class III region orthologues and hints at an ancient conserved class III region.

Published
2002

13. Association between Walking Speed and Age in Healthy, Free-Living Individuals Using Mobile Accelerometry—A Cross-Sectional Study

Author

Carmel Moore, Christian Lederer, Willem H. Ouwehand, Michaela Schimpl, Jennifer G. Sambrook, Martin Daumer, Anneke Neuhaus, and John Danesh

Subjects
Male, Aging, Anatomy and Physiology, Epidemiology, Cross-sectional study, Blood Pressure, Walking, Body Mass Index, 0302 clinical medicine, Interquartile range, 030212 general & internal medicine, Musculoskeletal System, Gait, Multidisciplinary, Epidemiology of Aging, Middle Aged, Databases as Topic, Health, Medicine, Female, Public Health, Algorithms, Research Article, Biotechnology, Adult, Drugs and Devices, medicine.medical_specialty, Adolescent, Science, Acceleration, Bioengineering, Context (language use), Biology, Medical Devices, Young Adult, 03 medical and health sciences, medicine, Humans, Sports and Exercise Medicine, Aged, Evolutionary Biology, Population Biology, Body Weight, Reproducibility of Results, Actigraphy, Body Height, Preferred walking speed, Cross-Sectional Studies, Gait analysis, Physical therapy, Exertion, Preventive Medicine, Physiological Processes, Organism Development, human activities, Body mass index, 030217 neurology & neurosurgery, Developmental Biology
Abstract

ContextWalking speed is a fundamental parameter of human motion and is increasingly considered as an important indicator of individuals' health status.ObjectiveTo evaluate the relationship of gait parameters, and demographic and physical characteristics in healthy men and women.Design, setting, and participantsRecruitment of a subsample (n = 358) of male and female blood donors taking part in the Cambridge CardioResource study. Collection of demographic data, measurement of physical characteristics (height, weight and blood pressure) and assessment of 7-day, free-living activity parameters using accelerometry and a novel algorithm to measure walking speed. Participants were a median (interquartile range[IQR]) age of 49 (16) years; 45% women; and had a median (IQR) BMI of 26 (5.4).Main outcome measureWalking speed.ResultsIn this study, the hypothesis that walking speed declines with age was generated using an initial 'open' dataset. This was subsequently validated in a separate 'closed' dataset that showed a decrease of walking speed of -0.0037 m/s per year. This is equivalent to a difference of 1.2 minutes, when walking a distance of 1 km aged 20 compared to 60 years. Associations between walking speed and other participant characteristics (i.e. gender, BMI and blood pressure) were non-significant. BMI was negatively correlated with the number of walking and running steps and longest non-stop distance.ConclusionThis is the first study using accelerometry which shows an association between walking speed and age in free-living, healthy individuals. Absolute values of gait speed are comparable to published normal ranges in clinical settings. This study highlights the potential use of mobile accelerometry to assess gait parameters which may be indicative of future health outcomes in healthy individuals.

Published
2011

14. The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease

Author

Suthesh Sivapalaratnam, Matthias Haimel, Stephen Kaptoge, Nilofar Sharifi, John J. Lambourne, Karyn Megy, Bing Ge, Jared O'Connell, William J. Astle, Luigi Grassi, Martijn van der Ent, Stuart Meacham, Stephen F. Garner, Eleanor Wheeler, John Danesh, Tony Kwan, Jennifer G. Sambrook, Tao Jiang, Louise C. Daugherty, Dirk S. Paul, Eva M. Janssen-Megens, Klaudia Walter, Stephen Watt, Alfonso Valencia, Joost H.A. Martens, Jonathan Marchini, S.M. Sheard, Mihir A Kamat, Ying Yang, Stephan Beck, Anita Kaan, Guillaume Bourque, Louella Vasquez, Jose A. Guerrero, Emanuele Di Angelantonio, Daniel Mead, David J. Roberts, Mattia Frontini, Nicole Soranzo, Myrto Kostadima, John Bradley, Heather Elding, Shuang-Yin Wang, Lu Chen, Salih Tuna, Kousik Kundu, Olivier Delaneau, Kathleen Freson, Diego Garrido-Martín, Dave Allen, David Bujold, Amit Mandoli, Lorenzo Bomba, Taco W. Kuijpers, Valentina Iotchkova, Alice L. Mann, James R Staley, Heleen J. Bouman, Kate Downes, Roderic Guigó, Carmel Moore, Kim Berentsen, Tomi Pastinen, Hendrik G. Stunnenberg, Willem H. Ouwehand, Fernando Riveros-Mckay, Romina Petersen, Enrique Carrillo-de-Santa-Pau, Steven P. Wilder, David Juan, Bowon Kim, Dace Ruklisa, Daniel Rico, Adam S. Butterworth, Vascular Medicine, Paediatric Infectious Diseases / Rheumatology / Immunology, AII - Amsterdam institute for Infection and Immunity, Landsteiner Laboratory, and Other departments

Subjects
0301 basic medicine, COMPLEX DISEASES, Platelet disorder, Autoimmune diseases, Population, Genome-wide association study, Quantitative trait locus, Biology, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, blood, Mendelian randomization, autoimmune diseases, genetics, Allele, Complex disease, education, Mendelian randomisation, Molecular Biology, cardiovasular diseases, Genetic association, Genetics, education.field_of_study, epigenetics, hematology, Biochemistry, Genetics and Molecular Biology(all), complex disease, Hematology, hematopoiesis, cardiovascular diseases, 3. Good health, Hematopoiesis, 030104 developmental biology, Cardiovascular diseases, Epigenetics, Common disease-common variant
Abstract

Many common variants have been associated with hematological traits, but identification of causal genes and pathways has proven challenging. We performed a genome-wide association analysis in the UK Biobank and INTERVAL studies, testing 29.5 million genetic variants for association with 36 red cell, white cell, and platelet properties in 173,480 European-ancestry participants. This effort yielded hundreds of low frequency (

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