The Burden Of Late Preterm Birth On Brain Development And 2 Year Outcomes – A Prospective, Longitudinal Cohort Study
Funder
National Health and Medical Research Council
Funding Amount
$838,690.00
Summary
80% of preterm babies are born from 32-36 weeks’ gestation, and are late preterm (LPT). LPT children have more learning problems, but why this occurs is unknown. This study aims to understand the effect of LPT birth on brain development. We will do brain scans at term and assess development at 2 years of age of 200 LPT and 200 full-term children. We expect LPT babies will have subtle alterations in brain development compared with term controls which will be associated with delayed development.
Centre Of Research Excellence (CRE) In Newborn Medicine
Funder
National Health and Medical Research Council
Funding Amount
$2,622,320.00
Summary
Problems around birth are common and can have long-term implications, including into adulthood. Our goal is to improve health outcomes for all newborn babies and their families by determining factors that enhance outcome and assessing the benefits and consequences of new treatments for mothers and babies. We are world leaders in this field and are dedicated to training the next generation of health professionals in the care of newborn babies, in Australia and the rest of the world.
A Dimensional Approach To Mapping The Risk Mechanisms Of Mental Illness
Funder
National Health and Medical Research Council
Funding Amount
$1,677,975.00
Summary
There is ongoing debate about whether current definitions of mental disorders are accurate. We will use statistical techniques to identify the core dimensions of liability for mental illness, and map how genes and brain organization drive differences between people along each dimension.
Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis ....Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.Read moreRead less