Kara Shannon, Jocelyn Burridge, Brodus Franklin, Sheena Bhushan, Susan Hilsenbeck, Elena V Petrova, James N'Dow, Ibezimako Iwuh, Sharmila Anandasabapathy, Jeffrey P Wilkinson
Gambian Mothers Lack Obstetric Danger Sign Knowledge, But Educational Intervention Shows Promise
Annals of global health
stochastic epigenetic mutations sems proposed novel aging biomarkers capture heterogeneity agerelated dna methylation changes sems defined outlier methylation patterns cytosineguanine dinucleotide sites categorized hypermethylated hypersem hypomethylated hyposem relative reference sems defined outlier status critical differentiate extreme values due technical noise data artifacts due real biology using technical replicate data found sem detection reliable across 3 datasets 24 39 hyposem 46 67 hypersem shared replicates identified factors influencing sem reliabilityincluding blood cell type composition probe betavalue statistics genomic location presence snps used factors training dataset build machine learningbased filter removes unreliable sems found filter enhances reliability two independent validation datasets assessed associations sem loads aging phenotypes framingham heart study discovered associations aging outcomes large part driven hyposems baseline methylated probes hypersems baseline unmethylated probes subsets demonstrate highest technical reliability aging associations preserved filtering unreliable sems enhanced adjusting blood cell composition finally utilized insights formulate best practices sem detection introduce novel r package semdetectr uses parallel programming efficient sem detection comprehensive options detection filtering analysis