OSCA: a tool for omic-data-based complex trait analysis
The rapid increase of omic data has greatly facilitated the investigation of associations
between omic profiles such as DNA methylation (DNAm) and complex traits in large cohorts …
between omic profiles such as DNA methylation (DNAm) and complex traits in large cohorts …
An overview of DNA methylation-derived trait score methods and applications
Microarray technology has been used to measure genome-wide DNA methylation in
thousands of individuals. These studies typically test the associations between individual …
thousands of individuals. These studies typically test the associations between individual …
Accounting for population stratification in DNA methylation studies
ABSTRACT DNA methylation is an important epigenetic mechanism that has been linked to
complex diseases and is of great interest to researchers as a potential link between …
complex diseases and is of great interest to researchers as a potential link between …
[PDF][PDF] Leveraging DNA-methylation quantitative-trait loci to characterize the relationship between methylomic variation, gene expression, and complex traits
Characterizing the complex relationship between genetic, epigenetic, and transcriptomic
variation has the potential to increase understanding about the mechanisms underpinning …
variation has the potential to increase understanding about the mechanisms underpinning …
[HTML][HTML] The EWAS Catalog: a database of epigenome-wide association studies
Epigenome-wide association studies (EWAS) seek to quantify associations between
traits/exposures and DNA methylation measured at thousands or millions of CpG sites …
traits/exposures and DNA methylation measured at thousands or millions of CpG sites …
Methodological challenges in constructing DNA methylation risk scores
Polygenic approaches often access more variance of complex traits than is possible by
single variant approaches. For genotype data, genetic risk scores (GRS) are widely used for …
single variant approaches. For genotype data, genetic risk scores (GRS) are widely used for …
Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies
AE Teschendorff, J Zhuang, M Widschwendter - Bioinformatics, 2011 - academic.oup.com
Motivation: A common difficulty in large-scale microarray studies is the presence of
confounding factors, which may significantly skew estimates of statistical significance, cause …
confounding factors, which may significantly skew estimates of statistical significance, cause …
CoMeBack: DNA methylation array data analysis for co-methylated regions
Motivation High-dimensional DNA methylation (DNAm) array coverage, while sparse in the
context of the entire DNA methylome, still constitutes a very large number of CpG probes …
context of the entire DNA methylome, still constitutes a very large number of CpG probes …
Deciphering the complex: Methodological overview of statistical models to derive OMICS‐based biomarkers
M Chadeau‐Hyam, G Campanella… - Environmental and …, 2013 - Wiley Online Library
Recent technological advances in molecular biology have given rise to numerous large‐
scale datasets whose analysis imposes serious methodological challenges mainly relating …
scale datasets whose analysis imposes serious methodological challenges mainly relating …
[PDF][PDF] Pleiotropic effects of trait-associated genetic variation on DNA methylation: utility for refining GWAS loci
Most genetic variants identified in genome-wide association studies (GWASs) of complex
traits are thought to act by affecting gene regulation rather than directly altering the protein …
traits are thought to act by affecting gene regulation rather than directly altering the protein …