https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48511 n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.]]> Wed 22 Mar 2023 15:25:15 AEDT ]]> 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 ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50431 Tue 25 Jul 2023 19:01:27 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46991 Tue 04 Apr 2023 19:29:34 AEST ]]>