<p><b>A distribution of inflation factors of GEI statistics on HMDP GxE GWAS data (A).</b> HMDP consists of classical inbred strings and recombinant inbred strains. There are 23 lipid phenotypes, and about 74,000 SNPs are tested for associations. The environment is thioglycollate injection to recruit macrophages. We compute the inflation factor for each phenotype and for the three methods. (<b>B</b>) is a QQ plot of one of the phenotypes (free fatty acids, ffa), and it shows the distributions of p-values of GEI statistics for the three methods. Their inflation factors are indicated on the QQ plot.</p
Despite considerable effort to elucidate the genetic architecture of multi-factorial traits and dise...
Both polygenicity (many small genetic effects) and confounding biases, such as cryptic relatedness a...
A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the dev...
Although genome-wide association studies (GWASs) have discovered numerous novel genetic variants ass...
<p>After filtering out probes whose expression values do not follow the normal distribution, 8,666 p...
Free to read full-text available via SharedIt link below Population structure, including population ...
In modern Whole Genome Sequencing (WGS) epidemiological studies, participant-level data from multipl...
In modern Whole Genome Sequencing (WGS) epidemiological studies, participant-level data from multipl...
Population structure, including population stratification and cryptic relatedness, can cause spuriou...
Despite longstanding interest in gene-by-environment (GxE) interactions, the contribution of GxE int...
Gene-environment (GxE) interaction is one potential explanation for the missing heritability problem...
Genome-Wide Association Studies (GWAS) encompass an important area of statistical genetics. They see...
Genome-wide association studies (GWAS) have successfully discovered hundreds of associations between...
Genomic inflation factors for epigenome-wide association studies on prevalent disease states.</p
Genome-wide association studies (GWAS) have successfully discovered hundreds of associations between...
Despite considerable effort to elucidate the genetic architecture of multi-factorial traits and dise...
Both polygenicity (many small genetic effects) and confounding biases, such as cryptic relatedness a...
A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the dev...
Although genome-wide association studies (GWASs) have discovered numerous novel genetic variants ass...
<p>After filtering out probes whose expression values do not follow the normal distribution, 8,666 p...
Free to read full-text available via SharedIt link below Population structure, including population ...
In modern Whole Genome Sequencing (WGS) epidemiological studies, participant-level data from multipl...
In modern Whole Genome Sequencing (WGS) epidemiological studies, participant-level data from multipl...
Population structure, including population stratification and cryptic relatedness, can cause spuriou...
Despite longstanding interest in gene-by-environment (GxE) interactions, the contribution of GxE int...
Gene-environment (GxE) interaction is one potential explanation for the missing heritability problem...
Genome-Wide Association Studies (GWAS) encompass an important area of statistical genetics. They see...
Genome-wide association studies (GWAS) have successfully discovered hundreds of associations between...
Genomic inflation factors for epigenome-wide association studies on prevalent disease states.</p
Genome-wide association studies (GWAS) have successfully discovered hundreds of associations between...
Despite considerable effort to elucidate the genetic architecture of multi-factorial traits and dise...
Both polygenicity (many small genetic effects) and confounding biases, such as cryptic relatedness a...
A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the dev...