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Bakulski, K. M.

Publications and source records attributed to Bakulski, K. M..

2 recordsLinked to original sources

DNA methylation signature of smoking in lung cancer is enriched for exposure signatures in newborn and adult blood.

BackgroundSmoking impacts DNA methylation genome-wide in blood of both newborns from maternal smoking during pregnancy and adults from personal smoking. Smoking causes lung cancer which involves aberrant methylation. We examined whether DNA methylation smoking signatures identified in blood of newborns and adults are detectable in lung tumors.\n\nMethodsWe compared smoking-related DNA methylation in lung adenocarcinomas (61 never smokers, 91 current smokers, and 238 former smokers) quantified with the Illumina450k BeadArray in The Cancer Genome Atlas with published large consortium meta-analyses of newborn and adult blood. We assessed whether CpG sites related to smoking in blood from newborns and adults were enriched in lung adenocarcinoma.\n\nResultsTesting CpGs differentially methylated by smoke exposure (P<10-4) we identified 296 in lung tumors, while previous meta-analyses (False Discovery Rate (FDR)<0.05) identified 6,073 in newborn blood, and for adult smoking, 18,760 in blood. The lung signals were highly enriched for those seen in newborn (32 overlapping, Penrichment=1.2x10-19) and adult blood (86 overlapping, Penrichment = 9.5x10-49). The 65 genes annotated to CpGs differentially methylated in lung tumors, but not blood, were enriched for RNA processing ontologies.\n\nConclusionsWe found highly significant overlap between smoking-related DNA methylation signals in lung cancer and those seen in blood from newborns, from in utero exposure, or adults, from their own exposure. These results suggest that some epigenetic alterations associated with cigarette smoke exposure are tissue specific, but others are common across tissues. These findings support the value of blood-based methylation biomarkers for assessing exposure effects in target tissues.

cancer biology

Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder

Epigenetics is an emerging area of investigation for Autism Spectrum Disorder (ASD). Integration of epigenetic information with ASD genetic results may elucidate functional insights not possible via either source of information in isolation. We used concurrent genotype and DNA methylation (DNAm) data from cord blood and peripheral blood from preschool-aged children to identify SNPs associated with DNA methylation, or methylation quantitative trait loci (meQTLs), and combined this with publicly available fetal brain and lung meQTL lists to assess enrichment of ASD GWAS results for tissue-specific meQTLs. ASD-associated SNPs were enriched for fetal brain (OR = 3.55; p < 0.001) and peripheral blood meQTLs (OR = 1.58; p < 0.001). The CpG site targets of ASD meQTLs across cord, blood, and brain tissues were enriched for immune-related pathways, consistent with other expression and DNAm results in ASD, and revealing pathways not implicated by genes identified from ASD rare variant work. Further, DNaseI hypersensitive sites and the STAT1 and TAF1 transcription factor binding sites were enriched for meQTL target CpGs of SNPs associated with psychiatric conditions. This joint analysis of genotype and DNAm demonstrates the potential utility of both brain and blood-based DNAm for insights into ASD and psychiatric phenotypes more broadly.

genomics