https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 The genetic architecture of the human cerebral cortex https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42676 Wed 22 Mar 2023 14:34:07 AEDT ]]> Mendelian randomization analysis does not support causal associations of birth weight with hypertension risk and blood pressure in adulthood https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41782  0.05). Our findings suggest that the inverse association of birthweight with hypertension risk from observational studies was not supported by large Mendelian randomization analyses.]]> Wed 22 Mar 2023 14:30:25 AEDT ]]> Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43989 Wed 13 Mar 2024 19:11:12 AEDT ]]> Dietary and supplemental intake of vitamins C and E is associated with altered DNA methylation in an epigenome-wide association study meta-analysis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52573 Tue 17 Oct 2023 15:48:00 AEDT ]]> Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46907 Tue 06 Dec 2022 16:07:24 AEDT ]]> Subnational mapping of HIV incidence and mortality among individuals aged 15–49 years in sub-Saharan Africa, 2000–18: a modelling study https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43838 Tue 04 Oct 2022 11:46:36 AEDT ]]> Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990-2019: A systematic analysis from the Global Burden of Disease Study 2019 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53399 Thu 23 Nov 2023 13:44:14 AEDT ]]> Dairy intake and body composition and cardiometabolic traits among adults: mendelian randomization analysis of 182041 individuals from 18 studies https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48483 LCT-13910 C/T, rs4988235) associated with dairy intake as an instrumental variable (IV). The causal effects of dairy intake on body composition and cardiometabolic traits (lipids, glycemic traits, and inflammatory factors) were quantified by IV estimators among 182041 participants from 18 studies. Results: Each 1 serving/day higher dairy intake was associated with higher lean mass [β (SE) = 0.117 kg (0.035); P = 0.001], higher hemoglobin A1c [0.009% (0.002); P < 0.001], lower LDL [-0.014 mmol/L (0.006); P = 0.013], total cholesterol (TC) [-0.012 mmol/L (0.005); P = 0.023], and non-HDL [-0.012 mmol/L (0.005); P = 0.028]. The LCT-13910 C/T CT + TT genotype was associated with 0.214 more dairy servings/day (SE = 0.047; P < 0.001), 0.284 cm higher waist circumference (SE = 0.118; P = 0.017), 0.112 kg higher lean mass (SE = 0.027; P = 3.8 x 10-5), 0.032 mmol/L lower LDL (SE = 0.009; P = 0.001), and 0.032 mmol/L lower TC (SE = 0.010; P = 0.001). Genetically higher dairy intake was associated with increased lean mass [0.523 kg per serving/day (0.170); P = 0.002] after correction for multiple testing (0.05/18). However, we find that genetically higher dairy intake was not associated with lipids and glycemic traits. Conclusions: The present study provides evidence to support a potential causal effect of higher dairy intake on increased lean mass among adults. Our findings suggest that the observational associations of dairy intake with lipids and glycemic traits may be the result of confounding.]]> Mon 20 Mar 2023 10:41:47 AEDT ]]> Mapping routine measles vaccination in low- and middle-income countries https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48660 Fri 24 Mar 2023 16:12:06 AEDT ]]> A trans-ancestral meta-analysis of genome-wide association studies reveals loci associated with childhood obesity https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46943 METTL15). The variant was nominally associated with only the European subgroup analysis but had a consistent direction of effect in other ethnicities. We then utilized trans-ancestral Bayesian analysis to narrow down the location of the probable causal variant at each genome-wide significant signal. Of all the fine-mapped loci, we were able to narrow down the causative variant at four known loci to fewer than 10 single nucleotide polymorphisms (SNPs) (FAIM2, GNPDA2, MC4R and SEC16B loci). In conclusion, an ethnically diverse setting has enabled us to both identify an additional pediatric obesity locus and further fine-map existing loci.]]> Fri 09 Dec 2022 14:01:32 AEDT ]]>