The Landscape Of Cancer Genes And Associations With Prognosis In Breast Cancer Diagnosed In Premenopausal Women
Funder
National Health and Medical Research Council
Funding Amount
$700,512.00
Summary
Using state of the art technology, the purpose of this project is understand the implications of known cancer mutations in breast cancer diagnosed in premenopausal ER-positive breast cancer. Mutations are abnormalities in the DNA of genes that can provide a signal for uncontrolled growth, a hallmark of cancer. The unique aspect of this project is use of tissue samples from patients who were diagnosed with breast cancer at a young age. This information will help us develop new treatments.
Helping Stroke Physicians Choose Who To Thrombolyse - The Targeting Optimal Thrombolysis Outcomes (TOTO) Study
Funder
National Health and Medical Research Council
Funding Amount
$1,073,140.00
Summary
Thrombolysis using alteplase is one of the most effective treatments for stroke but is currently used in only 5% of stroke cases. A major barrier is a lack of tools to identify who will benefit from treatment, or who might have a major adverse event. In this study we will develop a clinical decision rule based on clinical data, advanced CT imaging, and blood biomarkers to help identify those who will benefit and those likely to bleed, to encourage wider use of this treatment in acute stroke.
Brain Connectivity Imaging Markers To Confirm Diagnosis For Bipolar Vs. Unipolar Depression – A Connectome Approach.
Funder
National Health and Medical Research Council
Funding Amount
$434,369.00
Summary
Differentiating Bipolar disorders from Unipolar Depression is a major clinical challenge. This misdiagnosis hinders optimal clinical care and has many deleterious consequences such self-harm, increased chances of suicide, poor prognosis, and greater health care costs related to this disorder. This project will provide urgently-needed advance in accurate identification of Bipolar disorders using Magnetic Resonance Imaging and remove one of the key obstacles to accurate diagnosis.
Towards A Diagnostic Test For Juvenile Idiopathic Arthritis
Funder
National Health and Medical Research Council
Funding Amount
$661,670.00
Summary
Childhood arthritis is an autoimmune disease that affects around 6000 Australian children. It can be difficult to diagnose, but quick diagnosis is important to prevent ongoing pain and limit long term damage to joints. We have been able to use genetic information to predict which people have autoimmune celiac disease. In this project, we will find out how well genetic information can predict which children have childhood arthritis, and whether genetics can be used as a diagnostic test.
Cost-effective Development And Validation Of Risk Prediction Models: Methods And Applications
Funder
National Health and Medical Research Council
Funding Amount
$157,322.00
Summary
We will develop statistical methods and software that will enable risk calculators being built and validated using study designs that require only a fraction of current cost. The methods and software will be freely-available to researchers worldwide.
While there are numerous therapies for relapsing-remitting multiple sclerosis (MS), therapy for progressive MS remains elusive. This project will evaluate the effect of various therapies on the accumulation of irreversible disability in progressive MS. In addition, it will examine the effect of switching between therapies on MS activity. Finally, the project will indicate whether demographic and clinical information can be used as a predictor of individual patient response to MS therapies.
Modelling Of Clinic And Ambulatory Blood Pressure On Cardiovascular Risk And Outcomes
Funder
National Health and Medical Research Council
Funding Amount
$133,957.00
Summary
Whilst ambulatory blood pressure monitoring data has been shown to be a good predictor of cardiovascular events, there remains controversy as to its utility in clinical practice. This project will use data from existing population and clinical cohort studies to examine the role of ambulatory blood pressure in risk assessment and hypertension management in Australia and around the globe. The findings are likely to have a major impact on clinical guidelines for hypertension management.
Tackling Heterogeneity In The Etiology Of Major Depressive Disorder
Funder
National Health and Medical Research Council
Funding Amount
$2,552,669.00
Summary
Professor Martin and his team will join an international effort to identify the first 50 genes that underlie depression. They aim to recruit 20,000 participants for this study and hope that the outcomes of their research will contribute not only to the development of better treatments for depression, but more targeted therapies for individuals affected.
An Empirical Framework For Assessing Mortality And Morbidity In People With Psychotic Disorders: A 7-year Prospective And 10-year Retrospective Follow-up Of 2075 Participants In The Survey Of High Impact Psychosis (SHIP) Using Linked Registers
Funder
National Health and Medical Research Council
Funding Amount
$751,876.00
Summary
Our study is designed to fill a knowledge gap on mortality and morbidity in people with a psychotic disorder. It will: 1. Estimate rates of 7-year mortality and morbidity in people with a psychotic disorder. 2. Examine the impact of sets of risk factors on mortality and morbidity. 3. Develop predictive risk equations for CVD for use with people with psychotic disorders. 4. Calculate the economic burden of severe and acute physical morbidity in addition to mental health impacts.?
A Worldwide Study Of Cancer Risk For Lynch Syndrome
Funder
National Health and Medical Research Council
Funding Amount
$710,761.00
Summary
People with the genetic Lynch syndrome are more likely to get cancer but we cannot accurately predict who will get cancer and when. Doctors need this information to improve cancer prevention. Large collaborative studies are needed for this research. We have agreement from the 115 researchers to combine, into a single resource, 8,863 family trees of Lynch syndrome. We will analyse this data to determine the risk of cancer and whether it differs by sex, age, or nationality.