Results 231 to 240 of about 434,983 (266)

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

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.
Gondro, Cedric, Porto-Neto, Laercio R., Lee, Seung Hwan   +2 more
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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 ...
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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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An Overview of Genome-Wide Association Studies

2018
Genome-wide association study (GWAS) is a powerful study design to identify genetic variants of a trait and, in particular, detect the association between common single-nucleotide polymorphisms (SNPs) and common human diseases such as heart disease, inflammatory bowel disease, type 2 diabetes, and psychiatric disorders.
Michelle, Chang, Lin, He, Lei, Cai
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Genome-Wide Association Study in Humans

2009
Genome-wide association studies have opened a new era in the study of the genetic basis of common, multifactorial diseases and traits. Before the introduction of this approach only a handful of common genetic variants showed consistent association for any phenotype.
J Gustav, Smith, Christopher, Newton-Cheh   +1 more
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Analysis of Genome-Wide Association Studies

Genome-wide association studies (GWAS) aim to identify genetic variants across the whole genome associated with the phenotype of interest. This technique has been largely used in the bone field to elucidate the genetic architecture of complex traits, like bone mineral density or fracture risk, and to date, more than 600 loci have been identified.
Piyush, Gampawar, Edith, Hofer, Nerea, Alonso   +2 more
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Family-Based Genome-Wide Association Studies

Pharmacogenomics, 2009
In the last 2 years, the effort to identify genes affecting common diseases and complex traits has been accelerated through the use of genome-wide association studies (GWAS). The availability of existing large collections of linkage data paved the way for the use of family-based GWAS.
Benyamin, Beben, Visscher, Peter M., McRae, Allan F.   +2 more
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Genome-wide association studies in atherothrombosis

European Journal of Internal Medicine, 2010
Atherothrombotic diseases are complex diseases, arising from the interaction between several genetic and environmental factors. Until recently, the genetic basis of complex diseases in general, and of atherothrombosis in particular, were poorly characterized.
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