genome-wide association study
GWA study , GWAS (skrót)

These projects, called genome-wide association studies, each cost around $10 million or more.

The new genome-wide association studies can pick up much smaller effects.

The results of the genome-wide association study, which involved nearly 250 scientists, were published in the journal Nature.

'Until now, few genome-wide association studies have looked beyond single traits.

But even these genome-wide association studies have had little success in finding common variants.

Their approach- known as a genome-wide association study- is widely used to identify genetic differences.

So far, though, genome-wide association studies have not provided quick fixes for cancer or other diseases.

The researchers now plan to analyse a larger sample of women using the same technique, known as a genome-wide association study.

The study of human behaviour genetics is still developing steadily with new methods such as genome-wide association studies.

Future genome-wide association studies will hopefully shed light on more of the genetic variance.

Despite their utility, however, genome-wide association studies can only identify variations that occur in 5-10% of the population.

Using the latest methods in genetic analysis, two teams of researchers from several countries conducted genome-wide association studies.

However, linkage analysis and genome-wide association studies have found few reproducible risk factors.

This is believed to be the nation's first large-scale genome-wide association study in overweight patients with diabetes.

Previous work to build the catalogue of differences in human genes involved a technique called the genome-wide association study.

His interests include psychiatric genetics and genome-wide association studies.

In addition, a meta-analysis based on genome-wide association study data will be of great interest in the future.

"Genome-wide association studies require large numbers of patients to discover significant genetic associations.

Genome-wide association studies have demonstrated that the genes involved in intelligence remain fairly stable over time.

Tiling arrays are a useful tool in genome-wide association studies.

Genome-wide association studies have also been employed to yield findings relevant to genetic origins.

Genome-wide association studies are general applications to find specific gene targets and polymorphisms within the human race.

In genome-wide association studies, the additive (or codominant) version of the test is often used.

Scientists have also statistically linked a number of candidate genes to the disorder in large genome-wide association studies.

Through genome-wide association studies, a variety of genetic polymorphisms have been linked to breast size.

Since these first landmark GWA studies, there have been two general trends.

GWA studies have several issues and limitations that can be taken care of through proper quality control and study setup.

In addition to the conceptual framework several additional factors enabled the GWA studies.

Even drug induced toxicity and many adverse effects can be explained by GWA studies.

An alternative application is therefore the potential for GWA studies to elucidate pathophysiology.

In contrast to methods that specifically test one or a few genetic regions, the GWA studies investigate the entire genome.

As a result, major GWA studies of 2011 typically included extensive eQTL analysis.

Several GWA studies have received criticism for omitting important quality control steps, rendering the findings invalid, but modern publications address these issues.

More recently, the rapidly decreasing price of complete genome sequencing have also provided a realistic alternative to genotyping array-based GWA studies.

Another GWA study gave some evidence that the rs362584 polymorphism in the SNAP25 gene was associated with neuroticism.

Around the year 2000, prior to the introduction of GWA studies, the primary method of investigation was through inheritance studies of genetic linkage in families.

A common alternative to case-control GWA studies is the analysis of quantitative phenotypic data, e.g. height or biomarker concentrations or even gene expression.

The issues surrounding sample size and number of variants become exacerbated particularly when GWA studies consider variants of volume in the order of millions.

In the context of GWA studies, this plot shows the negative logarithm of the P-value as a function of genomic location.

Attempts have been made at creating comprehensive catalogues of SNPs that have been identified from GWA studies.

A high profile GWA study that investigated individuals with very long life spans to identify SNPs associated with longevity is an example of this.

The findings from these first GWA studies have subsequently prompted further functional research towards therapeutical manipulation of the complement system in ARMD.

Lothian Birth Cohort data has also been a part of GWA studies for various medical outcomes including cancer, stroke, lung function, arterial pressure and platelet formation.

SNPs identified in GWA studies are considered to give better predictive performance if they have high effect sizes of Odds Ratios (OR).

Genome-wide association studies (GWA study or GWAS) have become an important tool for discovering susceptibility genes for complex diseases.

The first GWA study, conducted in 2005, compared 96 patients with age-related macular degeneration (ARMD) with 50 healthy controls.

Finding odds ratios that are significantly different from 1 is the objective of the GWA study because this shows that a SNP is associated with disease.

GWA studies identify SNPs and other variants in DNA associated with a disease, but that cannot on their own specify which genes are causal.

A key step in the majority of GWA studies is the imputation of genotypes at SNPs not on the genotype chip used in the study.

Another was the International HapMap Project, which, from 2003 identified a majority of the common SNPs interrogated in a GWA study.