Genome-wide association studies
Genome-wide association studies in humans have revealed dozens of disease-associated loci and have provided insights into the allelic architecture of complex traits. Along the way, much has been learned about how best to carry out such studies. The articles in this series examine these design issues and the technical challenges that remain; for example, identifying association signals and interpreting the molecular mechanisms by which they exert their biological functions.
Index
2013
July 2013 Volume 14 No 7
Pleiotropy in complex traits: challenges and strategies
Nadia Solovieff, Chris Cotsapas, Phil H. Lee, Shaun M. Purcell & Jordan W. Smoller
doi:10.1038/nrg3461
July 2013 Volume 14 No 7
Pitfalls of predicting complex traits from SNPs
Naomi R. Wray, Jian Yang, Ben J. Hayes, Alkes L. Price, Michael E. Goddard & Peter M. Visscher
doi:10.1038/nrg3457
June 2013 Volume 14 No 6
Meta-analysis methods for genome-wide association studies and beyond
Evangelos Evangelou & John P. A. Ioannidis
doi:10.1038/nrg3472
2012
November 2012 Volume 13 No 11
Genome-wide association studies in mice
Jonathan Flint & Eleazar Eskin
doi:10.1038/nrg3335
March 2012 Volume 13 No 3
Human genetic susceptibility to infectious disease
Stephen J. Chapman & Adrian V. S. Hill
doi:10.1038/nrg3114
February 2012 Volume 13 No 2
Rare and common variants: twenty arguments
Greg Gibson
doi:10.1038/nrg3118
2011
October 2011 Volume 12 No 10
Assessing and managing risk when sharing aggregate genetic variant data
David W. Craig, Robert M. Goor, Zhenyuan Wang, Justin Paschall, Jim Ostell, Michael Feolo, Stephen T. Sherry & Teri A. Manolio
doi:10.1038/nrg3067
July 2011 Volume 12 No 7
Family-based designs for genome-wide association studies
Jurg Ott, Yoichiro Kamatani & Mark Lathrop
doi:10.1038/nrg2989
2010
December 2010 Volume 11 No 12
Analysing biological pathways in genome-wide association studies
Kai Wang, Mingyao Li & Hakon Hakonarson
doi:10.1038/nrg2884
Towards identifying genes underlying ecologically relevant traits in Arabidopsis thaliana
Joy Bergelson & Fabrice Roux
doi:10.1038/nrg2896
November 2010 Volume 11 No 11
Statistical analysis strategies for association studies involving rare variants
Vikas Bansal, Ondrej Libiger, Ali Torkamani & Nicholas J. Schork
doi:10.1038/nrg2867
July 2010 Volume 11 No 7
New approaches to population stratification in genome-wide association studies
Alkes L. Price, Noah A. Zaitlen, David Reich & Nick Patterson
doi:10.1038/nrg2813
Genotype imputation for genome-wide association studies
Jonathan Marchini & Bryan Howie
doi:10.1038/nrg2796
May 2010 Volume 11 No 5
Genome–wide association studies in diverse populations
Noah A. Rosenberg, Lucy Huang, Ethan M. Jewett, Zachary A. Szpiech, Ivana Jankovic & Michael Boehnke
doi:10.1038/nrg2760
Mendelian disorders and multifactorial traits: the big divide or one for all?
Stylianos E. Antonarakis, Aravinda Chakravarti, Jonathan C. Cohen & John Hardy
doi:10.1038/nrg2793
April 2010 Volume 11 No 4
Gene–environment-wide association studies: emerging approaches
Duncan Thomas
doi:10.1038/nrg2764
Genome-wide association studies in pharmacogenomics
Ann K. Daly
doi:10.1038/nrg2751
February 2010 Volume 11 No 2
Methodological challenges of genome-wide association analysis in Africa
Yik-Ying Teo, Kerrin S. Small & Dominic P. Kwiatkowski
doi:10.1038/nrg2731
2009
December 2009 Volume 10 No 12
Common disorders are quantitative traits
Robert Plomin, Claire M. A. Haworth & Oliver S. P. Davis
doi:10.1038/nrg2670
October 2009 Volume 10 No 10
Bayesian statistical methods for genetic association studies
Matthew Stephens & David J. Balding
doi:10.1038/nrg2615
June 2009 Volume 10 No 6
Detecting gene–gene interactions that underlie human diseases
Heather J. Cordell
doi:10.1038/nrg2579
May 2009 Volume 10 No 5
Validating, augmenting and refining genome-wide association signals
John P. A. Ioannidis, Gilles Thomas & Mark J. Daly
doi:10.1038/nrg2544
2008
May 2008 Volume 9 No 5
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
Mark I. McCarthy, Gonçalo R. Abecasis, Lon R. Cardon, David B. Goldstein, Julian Little, John P. A. Ioannidis & Joel N. Hirschhorn
doi:10.1038/nrg2344
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