OSCA: a tool for omic-data-based complex trait analysis

F Zhang, W Chen, Z Zhu, Q Zhang, MF Nabais, T Qi… - Genome biology, 2019 - Springer
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 …

An overview of DNA methylation-derived trait score methods and applications

MF Nabais, DA Gadd, E Hannon, J Mill, AF McRae… - Genome Biology, 2023 - Springer
Microarray technology has been used to measure genome-wide DNA methylation in
thousands of individuals. These studies typically test the associations between individual …

Accounting for population stratification in DNA methylation studies

RT Barfield, LM Almli, V Kilaru, AK Smith… - Genetic …, 2014 - Wiley Online Library
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 …

[PDF][PDF] Leveraging DNA-methylation quantitative-trait loci to characterize the relationship between methylomic variation, gene expression, and complex traits

E Hannon, TJ Gorrie-Stone, MC Smart… - The American Journal of …, 2018 - cell.com
Characterizing the complex relationship between genetic, epigenetic, and transcriptomic
variation has the potential to increase understanding about the mechanisms underpinning …

[HTML][HTML] The EWAS Catalog: a database of epigenome-wide association studies

T Battram, P Yousefi, G Crawford, C Prince… - Wellcome open …, 2022 - ncbi.nlm.nih.gov
Epigenome-wide association studies (EWAS) seek to quantify associations between
traits/exposures and DNA methylation measured at thousands or millions of CpG sites …

Methodological challenges in constructing DNA methylation risk scores

A Hüls, D Czamara - Epigenetics, 2020 - Taylor & Francis
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 …

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 …

CoMeBack: DNA methylation array data analysis for co-methylated regions

E Gatev, N Gladish, S Mostafavi, MS Kobor - Bioinformatics, 2020 - academic.oup.com
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 …

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 …

[PDF][PDF] Pleiotropic effects of trait-associated genetic variation on DNA methylation: utility for refining GWAS loci

E Hannon, M Weedon, N Bray, M O'Donovan… - The American Journal of …, 2017 - cell.com
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 …