Ontology highlight
ABSTRACT:
SUBMITTER: Trejo Banos D
PROVIDER: S-EPMC7280277 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
Trejo Banos Daniel D McCartney Daniel L DL Patxot Marion M Anchieri Lucas L Battram Thomas T Christiansen Colette C Costeira Ricardo R Walker Rosie M RM Morris Stewart W SW Campbell Archie A Zhang Qian Q Porteous David J DJ McRae Allan F AF Wray Naomi R NR Visscher Peter M PM Haley Chris S CS Evans Kathryn L KL Deary Ian J IJ McIntosh Andrew M AM Hemani Gibran G Bell Jordana T JT Marioni Riccardo E RE Robinson Matthew R MR
Nature communications 20200608 1
Linking epigenetic marks to clinical outcomes improves insight into molecular processes, disease prediction, and therapeutic target identification. Here, a statistical approach is presented to infer the epigenetic architecture of complex disease, determine the variation captured by epigenetic effects, and estimate phenotype-epigenetic probe associations jointly. Implicitly adjusting for probe correlations, data structure (cell-count or relatedness), and single-nucleotide polymorphism (SNP) marke ...[more]