Journal ArticleDOI
A pathway analysis method for genome-wide association studies.
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TLDR
The hierarchical Bayesian model takes the uncertainty regarding the pathway predictions into account while assessing the significance of pathways, and is applied to two independent studies on type 2 diabetes and shows that the overlap between the results from the two studies is statistically significant.Abstract:
For genome-wide association studies, we propose a new method for identifying significant biological pathways. In this approach, we aggregate data across single-nucleotide polymorphisms to obtain summary measures at the gene level. We then use a hierarchical Bayesian model, which takes the gene-level summary measures as data, in order to evaluate the relevance of each pathway to an outcome of interest (e.g., disease status). Although shifting the focus of analysis from individual genes to pathways has proven to improve the statistical power and provide more robust results, such methods tend to eliminate a large number of genes whose pathways are unknown. For these genes, we propose to use a Bayesian multinomial logit model to predict the associated pathways by using the genes with known pathways as the training data. Our hierarchical Bayesian model takes the uncertainty regarding the pathway predictions into account while assessing the significance of pathways. We apply our method to two independent studies on type 2 diabetes and show that the overlap between the results from the two studies is statistically significant. We also evaluate our approach on the basis of simulated data. Copyright © 2012 John Wiley & Sons, Ltd.read more
Citations
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Functional and genomic context in pathway analysis of GWAS data
TL;DR: An overview of the various data sources used to construct gene sets and the statistical methods used to test for gene set association are provided, as well as guidelines for ensuring the comparability of results.
Journal ArticleDOI
Integrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine signaling genes in Crohn's disease.
TL;DR: A model-based approach to pathway analysis is developed, and applied to data from theWTCCC studies, indicating links between Crohn's disease and cytokine-driven networks that modulate immune responses; between rheumatoid arthritis and “Measles” pathway genes involved in immune responses triggered by measles infection.
Journal ArticleDOI
A survey of computational intelligence techniques in protein function prediction.
TL;DR: A state-of-the-art comprehensive review of various computational intelligence techniques for protein function predictions using sequence, structure, protein-protein interaction network, and gene expression data used in wide areas of applications such as prediction of DNA and RNA binding sites, subcellular localization, enzyme functions, signal peptides, catalytic residues, nuclear/G-protein coupled receptors, membrane proteins, and pathway analysis from gene expression datasets.
Journal ArticleDOI
Pathway Analysis Based on a Genome-Wide Association Study of Polycystic Ovary Syndrome.
TL;DR: A pathway-based analysis using a dataset obtained through a genome-wide association study (GWAS) to elucidate the biological pathways that contribute to PCOS susceptibility and the associated genes may provide new leads for understanding the mechanisms underlying the development of PCOS.
Journal ArticleDOI
A Bayesian predictive model for imaging genetics with application to schizophrenia
TL;DR: This work proposes an integrative Bayesian risk prediction model that allows us to discriminate between individuals with schizophrenia and healthy controls, based on a sparse set of discriminatory regions of interest (ROIs) and SNPs.
References
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Journal ArticleDOI
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
Aravind Subramanian,Pablo Tamayo,Vamsi K. Mootha,Sayan Mukherjee,Benjamin L. Ebert,Michael A. Gillette,Amanda G. Paulovich,Scott L. Pomeroy,Todd R. Golub,Eric S. Lander,Jill P. Mesirov +10 more
TL;DR: The Gene Set Enrichment Analysis (GSEA) method as discussed by the authors focuses on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation.
Journal ArticleDOI
PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses
Shaun Purcell,Shaun Purcell,Benjamin M. Neale,Benjamin M. Neale,Kathe Todd-Brown,Lori Thomas,Manuel A. R. Ferreira,David Bender,David Bender,Julian Maller,Julian Maller,Pamela Sklar,Pamela Sklar,Paul I.W. de Bakker,Paul I.W. de Bakker,Mark J. Daly,Mark J. Daly,Pak C. Sham +17 more
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.
Journal ArticleDOI
Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
TL;DR: The hierarchical model of Lonnstedt and Speed (2002) is developed into a practical approach for general microarray experiments with arbitrary numbers of treatments and RNA samples and the moderated t-statistic is shown to follow a t-distribution with augmented degrees of freedom.
Journal ArticleDOI
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.
Journal ArticleDOI
PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes
Vamsi K. Mootha,Cecilia M. Lindgren,Cecilia M. Lindgren,Karl-Fredrik Eriksson,Aravind Subramanian,Smita Sihag,J. Lehar,Pere Puigserver,Emma Carlsson,Martin Ridderstråle,Esa Laurila,Nicholas E. Houstis,Mark J. Daly,Nick Patterson,Jill P. Mesirov,Todd R. Golub,Todd R. Golub,Pablo Tamayo,Bruce M. Spiegelman,Eric S. Lander,Joel N. Hirschhorn,Joel N. Hirschhorn,Joel N. Hirschhorn,David Altshuler,Leif Groop +24 more
TL;DR: An analytical strategy is introduced, Gene Set Enrichment Analysis, designed to detect modest but coordinate changes in the expression of groups of functionally related genes, which identifies a set of genes involved in oxidative phosphorylation whose expression is coordinately decreased in human diabetic muscle.