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Genome-wide association study reveals the genetic mechanism of wing bone strength in Cornish White. [PDF]

Poult Sci
Zhuang L, Shi Y, Shi X, Jiang C, Xuan L, Luo B, Jin H, Wang R, Lai J, Li G, Yan Y, Wu G, Xu G, Zheng J.   +13 more
europepmc   +1 more source

Genome Wide Association Study on Lung Cancer

Chinese Journal of Lung Cancer, 2009
Shun LU, Xinghao AI, Xiaomin NIU
doaj  

Genome-wide association study of varenicline-aided smoking cessation

Coley K, Wang Q, Packer R, John C, Abner E, Reis K, Estonian Biobank Research Team, Bedair KF, Srinivasan S, Paciga S, Hyde C, Free RC, Reeve NF, Shepherd DJ, Esko T, Palmer C, Pearson E, Malarstig A, Tobin MD, Batini C.   +19 more
europepmc   +1 more source

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Genome-Wide Association Studies

2010
Genome-wide association (GWA) studies are best understood as an extension of candidate gene association studies, scaled up to cover hundreds of thousands of markers across the genome in samples usually of several thousand cases and controls. The GWA approach allows the detection of much smaller effect sizes than with previous linkage-based genome-wide ...
Nadia Solovieff, Paola Sebastiani
  +8 more sources

Genome-Wide Association Studies

2012
A host of data on genetic variation from the Human Genome and International HapMap projects, and advances in high-throughput genotyping technologies, have made genome-wide association (GWA) studies technically feasible. GWA studies help in the discovery and quantification of the genetic components of disease risks, many of which have not been unveiled ...
Tun-Hsiang Yang, Mark A. Kon, Charles DeLisi   +2 more
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Genome-Wide Association Studies

Cold Spring Harbor Protocols, 2009
INTRODUCTIONThe goal of association studies is to discover genetic variation that differs in frequency between cases and controls or between individuals with different phenotypic values. Until a few years ago, the only method available for such studies was low-throughput analysis in which a single gene was selected and either genotyped for known ...
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R for Genome-Wide Association Studies

2013
In recent years R has become de facto statistical programming language of choice for statisticians and it is also arguably the most widely used generic environment for analysis of high-throughput genomic data. In this chapter we discuss some approaches to improve performance of R when working with large SNP datasets.
Cedric Gondro, Seung Hwan Lee, Laercio R. Porto-Neto, Laercio R. Porto-Neto   +3 more
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Genome-Wide Association Studies of Cancer

Future Oncology, 2007
Genome-wide association studies provide a new and powerful approach to investigate the effect of inherited genetic variation on the risk of human disease. These studies rely on high throughput DNA microarray technology to genotype hundreds of thousands of genetic variants across the human genome.
Eric Jorgenson, John S. Witte
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Genome-Wide Association Studies

2018
Genetic association studies have made a major contribution to our understanding of the genetics of complex disorders over the last 10 years through genome-wide association studies (GWAS). In this chapter, we review the key concepts that underlie the GWAS approach.
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