Number of statistically significant marker-trait associations and genomic control values from the unified mixed linear model and the logistic mixed model are presented.</p
The power of genome-wide association (GWA) studies to detect associations between genetic variants a...
Two case/control studies with different phenotypes, marker densities, and microarrays were examined ...
Association between disease and genetic polymorphisms often contributes critical informa-tion in our...
Number of statistically significant marker-trait associations and genomic control values from the un...
Manhattan plots summarizing the genome-wide association study (GWAS) results for two quantitative tr...
Association between disease and genetic polymorphisms often contributes critical information in our ...
Linear mixed models (LMMs) are widely used in genome-wide association studies (GWASs) to account for...
<p>The strengths of genome-wide association studies (GWAS) are illustrated by the Manhattan plots on...
markdownabstractOne of the goals of statistical genetics is to elucidate the genetic architecture of...
In genome-wide association studies (GWAS), penalization is an important approach for identifying gen...
We applied a range of genome-wide association (GWA) methods to map quantitative trait loci (QTL) in ...
2013-10-27Genome-wide association mapping has become widely popular in recent years as a method to d...
Genome-wide association studies are used to detect association between genetic variants and diseases...
Background: It has been well established that theoretical kernel for recently surging genome-wide as...
International audienceThe effective sample size (ESS) is a metric used to summarize in a single term...
The power of genome-wide association (GWA) studies to detect associations between genetic variants a...
Two case/control studies with different phenotypes, marker densities, and microarrays were examined ...
Association between disease and genetic polymorphisms often contributes critical informa-tion in our...
Number of statistically significant marker-trait associations and genomic control values from the un...
Manhattan plots summarizing the genome-wide association study (GWAS) results for two quantitative tr...
Association between disease and genetic polymorphisms often contributes critical information in our ...
Linear mixed models (LMMs) are widely used in genome-wide association studies (GWASs) to account for...
<p>The strengths of genome-wide association studies (GWAS) are illustrated by the Manhattan plots on...
markdownabstractOne of the goals of statistical genetics is to elucidate the genetic architecture of...
In genome-wide association studies (GWAS), penalization is an important approach for identifying gen...
We applied a range of genome-wide association (GWA) methods to map quantitative trait loci (QTL) in ...
2013-10-27Genome-wide association mapping has become widely popular in recent years as a method to d...
Genome-wide association studies are used to detect association between genetic variants and diseases...
Background: It has been well established that theoretical kernel for recently surging genome-wide as...
International audienceThe effective sample size (ESS) is a metric used to summarize in a single term...
The power of genome-wide association (GWA) studies to detect associations between genetic variants a...
Two case/control studies with different phenotypes, marker densities, and microarrays were examined ...
Association between disease and genetic polymorphisms often contributes critical informa-tion in our...