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