GWAS Analyzer
Christine Fong,Dennis C. Ko,Michael Wasnick,Matthew C. Radey,Samuel I. Miller,Mitchell J. Brittnacher +5 more
TL;DR: GWAS Analyzer facilitated management of large sets of phenotype and genotype data, analysis of phenotypic variation and heritability, and most importantly, generation of a refined set of candidate single nucleotide polymorphisms (SNPs).
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Abstract: Motivation: Genome-wide association studies are beginning to elucidate how our genetic differences contribute to susceptibility and severity of disease. While computational tools have previously been developed to support various aspects of genome-wide association studies, there is currently a need for informatics solutions that facilitate the integration of data from multiple sources.
Results: Here we present GWAS Analyzer, a database driven web-based tool that integrates genotype and phenotype data, association analysis results and genomic annotations from multiple public resources. GWAS Analyzer contains features for browsing these interrelated data, exploring phenotypic values by family or genotype, and filtering association results based on multiple criteria. The utility of the tool has been demonstrated by a genome-wide association study of human in vitro susceptibility to bacterial infection. GWAS Analyzer facilitated management of large sets of phenotype and genotype data, analysis of phenotypic variation and heritability, and most importantly, generation of a refined set of candidate single nucleotide polymorphisms (SNPs). The tool revealed a SNP that was experimentally validated to be associated with increased cell death among Salmonella infected HapMap cell lines.
Availability: http://www.nwrce.org/gwas-analyzer
Contact: mbrittna@u.washington.edu
Supplementary Information:Supplementary data are available at Bioinformatics online.
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References
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TL;DR: This work introduces PLINK, an open-source C/C++ WGAS tool set, and describes the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation, which focuses on the estimation and use of identity- by-state and identity/descent information in the context of population-based whole-genome studies.
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Principal components analysis corrects for stratification in genome-wide association studies
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TL;DR: This work describes a method that enables explicit detection and correction of population stratification on a genome-wide scale and uses principal components analysis to explicitly model ancestry differences between cases and controls.
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
Paul Burton,David Clayton,Lon R. Cardon,Nicholas John Craddock,Panos Deloukas,Audrey Duncanson,Dominic P. Kwiatkowski,Mark I. McCarthy,Willem H. Ouwehand,Nilesh J. Samani,John A. Todd,Peter Donnelly,Jeffrey C. Barrett,Dan Davison,Doug Easton,David M. Evans,H. T. Leung,Jonathan Marchini,Andrew P. Morris,Chris C. A. Spencer,Martin D. Tobin,Antony P. Attwood,James P. Boorman,Barbara Cant,Ursula Everson,Judith M. Hussey,Jennifer Jolley,Alexandra S. Knight,Kerstin Koch,Elizabeth Meech,Sarah Nutland,Christopher Prowse,Helen Stevens,Niall C. Taylor,Graham R. Walters,Neil Walker,Nicholas A. Watkins,Thilo Winzer,Richard Jones,Wendy L. McArdle,Susan M. Ring,David P. Strachan,Marcus Pembrey,Gerome Breen,David St Clair,Sian Caesar,Katherine Gordon-Smith,Lisa Jones,Christine Fraser,Elaine K. Green,Detelina Grozeva,Marian L. Hamshere,Peter Holmans,Ian Jones,George Kirov,Valentina Moskvina,Ivan Nikolov,Michael Conlon O'Donovan,Michael John Owen,David A. Collier,Amanda Elkin,Anne Farmer,Richard Williamson,Peter McGuffin,Allan H. Young,I. Nicol Ferrier,Stephen G. Ball,Anthony J. Balmforth,Jennifer H. Barrett,D. Timothy Bishop,Mark M. Iles,Azhar Maqbool,Nadira Yuldasheva,Alistair S. Hall,Peter S. Braund,Richard J. Dixon,Massimo Mangino,Suzanne Stevens,John R. Thompson,Francesca Bredin,Mark Tremelling,Miles Parkes,Hazel E. Drummond,Charlie W. Lees,Elaine R. Nimmo,Jack Satsangi,Sheila A. Fisher,Alastair Forbes,Cathryn M. Lewis,Clive M. Onnie,Natalie J. Prescott,Jeremy D. Sanderson,Christopher G. Mathew,Jamie Barbour,M. Khalid Mohiuddin,Catherine E. Todhunter,John C. Mansfield,Tariq Ahmad,Fraser Cummings,Derek P. Jewell,John Webster,Morris J. Brown,G. Mark Lathrop,John M. C. Connell,Anna F. Dominiczak,Carolina A. Braga Marcano,Beverley Burke,Richard Dobson,Johannie Gungadoo,Kate L. Lee,Patricia B. Munroe,Stephen Newhouse,Abiodun Onipinla,Chris Wallace,Mingzhan Xue,Mark J. Caulfield,Martin Farrall,Anne Barton,Ian N. Bruce,Hannah Donovan,Steve Eyre,Paul D. Gilbert,Samantha L. Hider,Anne Hinks,Sally John,Catherine Potter,Alan J. Silman,Deborah P M Symmons,Wendy Thomson,Jane Worthington,David B. Dunger,Barry Widmer,Timothy M. Frayling,Rachel M. Freathy,Hana Lango,John R. B. Perry,Beverley M. Shields,Michael N. Weedon,Andrew T. Hattersley,Graham A. Hitman,Mark Walker,Kate S. Elliott,Christopher J. Groves,Cecilia M. Lindgren,Nigel W. Rayner,Nicholas J. Timpson,Eleftheria Zeggini,Melanie J. Newport,Giorgio Sirugo,Emily J. Lyons,Fredrik O. Vannberg,Adrian V. S. Hill,Linda A. Bradbury,C Farrar,J J Pointon,Paul Wordsworth,Matthew A. Brown,Jayne A. Franklyn,Joanne M. Heward,Matthew J. Simmonds,Stephen C. L. Gough,Sheila Seal,Michael R. Stratton,Nazneen Rahman,Maria Ban,An Goris,Stephen Sawcer,Alastair Compston,David J. Conway,Muminatou Jallow,Kirk A. Rockett,Suzannah Bumpstead,Amy Chaney,Kate Downes,Mohammed J. R. Ghori,Rhian Gwilliam,Sarah E. Hunt,Michael Inouye,Andrew Keniry,Emma King,Ralph McGinnis,Simon C. Potter,Rathi Ravindrarajah,Pamela Whittaker,Claire Widden,David Withers,Niall Cardin,Teresa Ferreira,Joanne Pereira-Gale,Ingileif B. Hallgrímsdóttir,Bryan Howie,Zhan Su,Yik Ying Teo,Damjan Vukcevic,David Bentley,A Compston +195 more
TL;DR: This study has demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in theBritish population is generally modest.
A second generation human haplotype map of over 3.1 million SNPs
Kelly A. Frazer,Dennis G. Ballinger,David R. Cox,David A. Hinds,Laura L. Stuve,Richard A. Gibbs,John W. Belmont,Andrew Boudreau,Paul Hardenbol,Suzanne M. Leal,Shiran Pasternak,David A. Wheeler,Thomas D. Willis,Fuli Yu,Huanming Yang,Changqing Zeng,Gao Yang,H. B. Hu,Weitao Hu,Chaohua Li,Wei Lin,Siqi Liu,Hao Pan,Xiaoli Tang,Jian Wang,Wei Wang,Jun Yu,Bo Zhang,Qingrun Zhang,Hongbin Zhao,Hui Zhao,Jun Zhou,Stacey Gabriel,Rachel Barry,Brendan Blumenstiel,Amy L. Camargo,Matthew Defelice,Maura Faggart,Mary Goyette,Supriya Gupta,Jamie Moore,Huy Nguyen,Robert C. Onofrio,Melissa Parkin,Jessica Roy,Erich Stahl,Ellen Winchester,Liuda Ziaugra,David Altshuler,Yan Shen,Zhijian Yao,Wei Huang,Xun Chu,Yungang He,Li Jin,Yangfan Liu,Yayun Shen,Weiwei Sun,Haifeng Wang,Yi Wang,Ying Wang,Xiaoyan Xiong,Liang Xu,Mary M.Y. Waye,Stephen Kwok-Wing Tsui,Hong Xue,J. Tze Fei Wong,Luana Galver,Jian-Bing Fan,Kevin L. Gunderson,Sarah S. Murray,Arnold Oliphant,Mark S. Chee,Alexandre Montpetit,Fanny Chagnon,Vincent Ferretti,Martin Leboeuf,Jean François Olivier,Michael S. Phillips,Stéphanie Roumy,Clémentine Sallée,Andrei Verner,Thomas J. Hudson,Pui-Yan Kwok,Dongmei Cai,Daniel C. Koboldt,Raymond D. Miller,Ludmila Pawlikowska,Patricia Taillon-Miller,Ming Xiao,Lap-Chee Tsui,William Mak,Qiang Song You,Paul K.H. Tam,Yusuke Nakamura,Takahisa Kawaguchi,Takuya Kitamoto,Takashi Morizono,Atsushi Nagashima,Yozo Ohnishi,Akihiro Sekine,Toshihiro Tanaka,Tatsuhiko Tsunoda,Panos Deloukas,Christine P. Bird,Marcos Delgado,Emmanouil T. Dermitzakis,Rhian Gwilliam,Sarah E. Hunt,Jonathan J. Morrison,Don Powell,Barbara E. Stranger,Pamela Whittaker,David R. Bentley,Mark J. Daly,Paul I.W. de Bakker,Jeffrey C. Barrett,Yves Chretien,Julian Maller,Steve McCarroll,Nick Patterson,Itsik Pe'er,Alkes L. Price,Shaun Purcell,Daniel J. Richter,Pardis C. Sabeti,Richa Saxena,Stephen F. Schaffner,Pak C. Sham,Patrick Varilly,Lincoln Stein,Lalitha Krishnan,Albert V. Smith,Marcela K. Tello-Ruiz,Gudmundur A. Thorisson,Aravinda Chakravarti,Peter E. Chen,David J. Cutler,Carl S. Kashuk,Shin Lin,Gonçalo R. Abecasis,Weihua Guan,Yun Li,Heather M. Munro,Zhaohui S. Qin,Daryl J. Thomas,Gilean McVean,Adam Auton,Leonardo Bottolo,Niall Cardin,Susana Eyheramendy,Colin Freeman,Jonathan Marchini,Simon Myers,Chris C. A. Spencer,Matthew Stephens,Peter Donnelly,Lon R. Cardon,Geraldine M. Clarke,David M. Evans,Andrew P. Morris,Bruce S. Weir,Todd A. Johnson,James C. Mullikin,Stephen T. Sherry,Michael Feolo,Andrew D. Skol,Houcan Zhang,Ichiro Matsuda,Yoshimitsu Fukushima,Darryl Macer,Eiko Suda,Charles N. Rotimi,Clement Adebamowo,Ike Ajayi,Toyin Aniagwu,Patricia A. Marshall,Chibuzor Nkwodimmah,Charmaine D.M. Royal,Mark Leppert,Missy Dixon,Andy Peiffer,Renzong Qiu,Alastair Kent,Kazuto Kato,Norio Niikawa,Isaac F. Adewole,Bartha Maria Knoppers,Morris W. Foster,Ellen Wright Clayton,Jessica Watkin,Donna M. Muzny,Lynne V. Nazareth,Erica Sodergren,George M. Weinstock,Imtaz Yakub,Bruce W. Birren,Richard K. Wilson,Lucinda Fulton,Jane Rogers,John Burton,Nigel P. Carter,C M Clee,Mark Griffiths,Matthew C. Jones,Kirsten McLay,Robert W. Plumb,Mark T. Ross,Sarah Sims,David Willey,Zhu Chen,Hua Han,Le Kang,Martin Godbout,John C. Wallenburg,Paul L'Archevêque,Guy Bellemare,Koji Saeki,Hongguang Wang,Daochang An,Hongbo Fu,Qing Li,Zhen Wang,Renwu Wang,Arthur L. Holden,Lisa D. Brooks,Jean E. McEwen,Mark S. Guyer,Vivian Ota Wang,Jane Peterson,Michael Shi,Jack Spiegel,Lawrence M. Sung,Lynn F. Zacharia,Francis S. Collins,Karen Kennedy,Ruth Jamieson,John Stewart +237 more
TL;DR: The Phase II HapMap is described, which characterizes over 3.1 million human single nucleotide polymorphisms genotyped in 270 individuals from four geographically diverse populations and includes 25–35% of common SNP variation in the populations surveyed, and increased differentiation at non-synonymous, compared to synonymous, SNPs is demonstrated.
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A genome-wide association study identifies novel risk loci for type 2 diabetes
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