<p>Significant GWAS hits were functionally annotated using basic local alignment search tool. These annotations were categorized into biological groups, which include: structural components, secondary metabolites, primary metabolites, genes previously implicated in pathogen-defense, membrane transporter, development, cellular energy, cell signaling, and cell cycle. The genes on the inter-pro hit list (<a href="http://www.maizesequence.org" target="_blank">www.maizesequence.org</a>) were also categorized into these same categories. The genome count indicates the total number of genes within the genome in the given category, and the GLS (Count) indicates the number of annotated GLS GWAS hits in a given category. A proportion z-test was used t...
Gene-based association tests aggregate genotypes across multiple variants for each gene, providing a...
BACKGROUND: Genome-wide association studies (GWAS) aim to identify causal variants and genes for com...
<p>Results are for GWAS analysis in GenABEL using each individual BMI reading as a separate observat...
Functional annotations can potentially increase the power of genome-wide association study (GWAS) by...
Annotations of gene structures and regulatory elements can inform genome-wide association studies (G...
A genome wide association study (GWAS) typically results in a few highly significant ‘hits ’ and a m...
SNP chip-based genome-wide association studies (GWAS) is an inspiring and fast scanning method for m...
SNP chip-based genome-wide association studies (GWAS) is an inspiring and fast scanning method for m...
SNP chip-based genome-wide association studies (GWAS) is an inspiring and fast scanning method for m...
SNP chip-based genome-wide association studies (GWAS) is an inspiring and fast scanning method for m...
Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with ...
<p>The overview is based on content on the PDGene website (<a href="http://www.pdgene.org" target="_...
A genome wide association study (GWAS) typically results in a few highly significant ‘hits ’ and a m...
A genome wide association study (GWAS) typically results in a few highly significant 'hits' and a mu...
In line with open-source genetics, we report a novel linear regression technique for genome-wide ass...
Gene-based association tests aggregate genotypes across multiple variants for each gene, providing a...
BACKGROUND: Genome-wide association studies (GWAS) aim to identify causal variants and genes for com...
<p>Results are for GWAS analysis in GenABEL using each individual BMI reading as a separate observat...
Functional annotations can potentially increase the power of genome-wide association study (GWAS) by...
Annotations of gene structures and regulatory elements can inform genome-wide association studies (G...
A genome wide association study (GWAS) typically results in a few highly significant ‘hits ’ and a m...
SNP chip-based genome-wide association studies (GWAS) is an inspiring and fast scanning method for m...
SNP chip-based genome-wide association studies (GWAS) is an inspiring and fast scanning method for m...
SNP chip-based genome-wide association studies (GWAS) is an inspiring and fast scanning method for m...
SNP chip-based genome-wide association studies (GWAS) is an inspiring and fast scanning method for m...
Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with ...
<p>The overview is based on content on the PDGene website (<a href="http://www.pdgene.org" target="_...
A genome wide association study (GWAS) typically results in a few highly significant ‘hits ’ and a m...
A genome wide association study (GWAS) typically results in a few highly significant 'hits' and a mu...
In line with open-source genetics, we report a novel linear regression technique for genome-wide ass...
Gene-based association tests aggregate genotypes across multiple variants for each gene, providing a...
BACKGROUND: Genome-wide association studies (GWAS) aim to identify causal variants and genes for com...
<p>Results are for GWAS analysis in GenABEL using each individual BMI reading as a separate observat...