“…Big data with similar cohorts are existing, and maybe it is the time to organize and reanalyze all of them in multiparametric models, taking into account all the factors known to be implicated. In our recent review, reporting DNAm results according to tissue specificity, we had identified a small number of differentially methylated loci common in blood and nasal samples that are annotated to specific genes ( ACOT7 , EPX , KCNH2 , SIGLEC8 , TNIK , FOXP1 , ATPAF2 , ZNF8s62 , ADORA3 , ARID3A , IL5RA , METRNL , ZFPM1 ), making them possible candidates for allergic respiratory disease biomarkers [47]. In the present review, combining the information of different tissues and different associated functions that appear to play decisive roles in development/distinguishing of allergic diseases, we can highlight specific genes.…”