Results 251 to 260 of about 1,251,540 (276)

Genome-wide RNAi

Current Opinion in Chemical Biology, 2001
In many species, double-stranded RNA can specifically and effectively silence genes. This newly discovered biological phenomenon, called RNA interference (RNAi), has practical implications for functional genomics. As shown by two recent reports, RNAi provides a rapid method to test the function of genes in the nematode Caenorhabditis elegans; most of ...
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Genome-Wide Methylation Analysis

2012
The disruption and alteration of genomic methylation patterns is a hallmark of cancer and other disease states. Understanding and characterizing genome-wide methylation will have a profound effect on our understanding of tumorigenesis and provide novel avenues for therapy.
Alexander, Unterberger, Adrian M, Dubuc, Michael D, Taylor   +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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Genome-Wide Association Studies (GWAS)

2023
Most of the breeding targets are quantitative traits. In exploring the quantitative trait locus (QTL) system of a trait, linkage mapping was established using sparse polymerase chain reaction (PCR) markers. With the genome-wide sequencing technology advanced, genome-wide association study (GWAS) was developed for natural (germplasm) populations using ...
Jianbo, He, Junyi, Gai
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Genome‐wide DNA methylation profiling

WIREs Systems Biology and Medicine, 2009
AbstractDNA methylation plays a critical role in the regulation of gene expression. The ability to access the methylation status for a large number of genes or the entire genome should greatly facilitate the understanding of the nature of gene regulation in cells, and epigenetic mechanism of interactions between cells and environment.
Marina, Bibikova, Jian-Bing, Fan
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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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Inferring Genome-Wide Interaction Networks

2016
The inference of gene regulatory networks is an important process that contributes to a better understanding of biological and biomedical problems. These networks aim to capture the causal molecular interactions of biological processes and provide valuable information about normal cell physiology.
Gökmen, Altay, Onur, Mendi
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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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Genome-Wide Polyadenylation Site Mapping

2012
Alternative polyadenylation site usage gives rise to variation in 3' ends of transcripts in diverse organisms ranging from yeast to human. Accurate mapping of polyadenylation sites of transcripts is of major biological importance, since the length of the 3'UTR can have a strong influence on transcript stability, localization, and translation.
Pelechano V, Wilkening S, Järvelin AI, Tekkedil MM, Steinmetz LM   +4 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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