<p>After filtering out probes whose expression values do not follow the normal distribution, 8,666 probes are tested for associations with about 500,000 SNPs. Gene expression of each individual was measured with and without the Ox-PAPC treatment, which corresponds to the environmental exposure. About a half of individuals were chosen to represent samples exposed to the environment, and the rest of individuals represent samples unexposed to the environment. We compute the inflation factor for each probe and for each of the three methods. Boxplots are drawn with outliers (<b>A</b>) and without outliers (<b>B</b>).</p
Abstract. The recent availability of large scale data sets profiling sin-gle nucleotide polymorphism...
Finding genetic variants that regulate gene expression now plays a central role in the analysis of m...
Genotype-by-environment interaction (GEI) is a fundamental component in understanding complex trait ...
<p><b>A distribution of inflation factors of GEI statistics on HMDP GxE GWAS data (A).</b> HMDP cons...
Gene-environment (GxE) interaction is one potential explanation for the missing heritability problem...
Free to read full-text available via SharedIt link below Population structure, including population ...
Genomic inflation factors for epigenome-wide association studies on prevalent disease states.</p
Genomic inflation factors for epigenome-wide association studies on incident disease states.</p
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...
We show that epigenome- and transcriptome-wide association studies (EWAS and TWAS) are prone to sign...
Population structure, including population stratification and cryptic relatedness, can cause spuriou...
<p>The first 10 PCs obtained through Paschou PCA, GWAS control PCA, GWAS PCA and GWAS LD PCA are use...
<p>Inflation factors in genomewide ovarian cancer association testing before (uncorrected) and after...
Biostatistical methodology to accommodate genotype by environment (G-E) interactions in planned bree...
Abstract. The recent availability of large scale data sets profiling sin-gle nucleotide polymorphism...
Finding genetic variants that regulate gene expression now plays a central role in the analysis of m...
Genotype-by-environment interaction (GEI) is a fundamental component in understanding complex trait ...
<p><b>A distribution of inflation factors of GEI statistics on HMDP GxE GWAS data (A).</b> HMDP cons...
Gene-environment (GxE) interaction is one potential explanation for the missing heritability problem...
Free to read full-text available via SharedIt link below Population structure, including population ...
Genomic inflation factors for epigenome-wide association studies on prevalent disease states.</p
Genomic inflation factors for epigenome-wide association studies on incident disease states.</p
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...
We show that epigenome- and transcriptome-wide association studies (EWAS and TWAS) are prone to sign...
Population structure, including population stratification and cryptic relatedness, can cause spuriou...
<p>The first 10 PCs obtained through Paschou PCA, GWAS control PCA, GWAS PCA and GWAS LD PCA are use...
<p>Inflation factors in genomewide ovarian cancer association testing before (uncorrected) and after...
Biostatistical methodology to accommodate genotype by environment (G-E) interactions in planned bree...
Abstract. The recent availability of large scale data sets profiling sin-gle nucleotide polymorphism...
Finding genetic variants that regulate gene expression now plays a central role in the analysis of m...
Genotype-by-environment interaction (GEI) is a fundamental component in understanding complex trait ...