https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49862 Wed 28 Feb 2024 15:09:16 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44405 Wed 12 Oct 2022 14:43:29 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45857 p level: 1.06 × 10^-7), that were associated with maternal smoking during pregnancy, including associated genes AHRR (cancer development), FTO (obesity), CNTNAP2 (developmental processes), CYP1A1 (detoxification), MYO1G (cell signalling) and FRMD4A (nicotine dependence). A sensitivity analysis showed a dose dependent relationship between maternal smoking and offspring methylation. These results changed little following adjustment for paternal, passive or offspring smoking and there were no CpGs identified that associated with these variables. Two of the 23 identified CpGs (cg00253568 (FTO) and cg00213123 (CYP1A1)) were associated with either TG (males and females), diastolic blood pressure (females only) or HDL-C (males only), after Bonferroni correction. Discussion: This study demonstrates a critical timing of cigarette smoke exposure over the life-course for establishing persistent changes in DNA methylation into adolescence in a dose dependent manner. There were significant associations between offspring CpG methylation and adolescent cardiovascular risk factors, namely TG, HDL-C and diastolic blood pressure. Future studies on current smoking habits and DNA methylation should consider the importance of maternal smoking during pregnancy and explore how the persistent DNA methylation effects of in utero smoke exposure increase cardiometabolic risk.]]> Tue 08 Nov 2022 08:25:41 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55338 Thu 16 May 2024 16:23:05 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38075 Mon 14 Nov 2022 17:48:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46203 Mon 14 Nov 2022 11:29:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50392 0.49), but not with autism or the less common adult disorders (schizophrenia, bipolar disorder, or eating disorders) (rG < 0.01). Importantly, the total psychiatric problem score also showed at least a moderate genetic correlation with intelligence, educational attainment, wellbeing, smoking, and body fat (rG > 0.29). The results suggest that many common genetic variants are associated with childhood psychiatric symptoms and related phenotypes in general instead of with specific symptoms. Further research is needed to establish causality and pleiotropic mechanisms between related traits.]]> Mon 13 May 2024 11:16:33 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51418 Mon 04 Sep 2023 14:57:16 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40086 in utero cigarette smoke exposure. Methods: We used machine learning methods to create a score reflecting exposure to maternal smoking during pregnancy. This score is based on peripheral blood measurements of DNA methylation (Illumina’s Infinium HumanMethylation450K BeadChip). The score was developed and tested in the Raine Study with data from 995 white 17-y-old participants using 10-fold cross-validation. The score was further tested and validated in independent data from the Northern Finland Birth Cohort 1986 (NFBC1986) (16-y-olds) and 1966 (NFBC1966) (31-y-olds). Further, three previously proposed DNA methylation scores were applied for comparison. The final score was developed with 204 CpGs using elastic net regression. Results: Sensitivity and specificity values for the best performing previously developed classifier (“Reese Score”) were 88% and 72% for Raine, 87% and 61% for NFBC1986 and 72% and 70% for NFBC1966, respectively; corresponding figures using the elastic net regression approach were 91% and 76% (Raine), 87% and 75% (NFBC1986), and 72% and 78% for NFBC1966. Conclusion: We have developed a DNA methylation score for exposure to maternal smoking during pregnancy, outperforming the three previously developed scores. One possible application of the current score could be for model adjustment purposes or to assess its association with distal health outcomes where part of the effect can be attributed to maternal smoking. Further, it may provide a biomarker for fetal exposure to maternal smoking.]]> Fri 22 Jul 2022 13:24:59 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41762 Fri 12 Aug 2022 11:42:31 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53592 Fri 08 Dec 2023 15:45:50 AEDT ]]>