Guidance for DNA methylation studies: statistical insights from the Illumina EPIC array

Background There has been a steady increase in the number of studies aiming to identify DNA methylation differences associated with complex phenotypes. Many of the challenges of epigenetic epidemiology regarding study design and interpretation have been discussed in detail, however there are analyti...

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Veröffentlicht in:	BMC genomics Jg. 20; H. 1; S. 366 - 15
Hauptverfasser:	Mansell, Georgina, Gorrie-Stone, Tyler J., Bao, Yanchun, Kumari, Meena, Schalkwyk, Leonard S., Mill, Jonathan, Hannon, Eilis
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 14.05.2019 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Animal Genetics and Genomics Arrays Biomedical and Life Sciences CpG Islands Deoxyribonucleic acid DNA DNA Methylation DNA sequencing Epidemiology Epigenesis, Genetic Epigenetic inheritance Epigenetics Epigenome-wide association study (EWAS) Epigenomics - methods Future predictions Genetic research Genome-Wide Association Study Genomics Human and rodent genomics Humans Illumina EPIC array Life Sciences Linear Models Mathematical analysis Methods Methylation Microarrays Microbial Genetics and Genomics Multiple testing Oligonucleotide Array Sequence Analysis - methods Phenotypes Plant Genetics and Genomics Population (statistical) Population studies Power Proteomics Regression analysis Research Article Statistical analysis Statistical methods Statistics Studies DNA methylation Multiple testing Illumina EPIC array Epigenome-wide association study (EWAS) Power
ISSN:	1471-2164, 1471-2164
Online-Zugang:	Volltext
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