Exploring The Function Of Breast Cancer-Associated Variants In Long Non-Coding RNAs
Funder
National Health and Medical Research Council
Funding Amount
$501,585.00
Summary
Recent studies have identified regions within the human genome in which DNA sequence variations are associated with an increased risk of breast cancer. Several of these regions do not contain any known protein coding genes, suggesting that non-protein coding genes could be responsible for the associated risk. The aim of this proposal is to identify and characterise these non-coding genes. Understanding how sequences variations in these novel genes contribute to breast cancer will provide novel a ....Recent studies have identified regions within the human genome in which DNA sequence variations are associated with an increased risk of breast cancer. Several of these regions do not contain any known protein coding genes, suggesting that non-protein coding genes could be responsible for the associated risk. The aim of this proposal is to identify and characterise these non-coding genes. Understanding how sequences variations in these novel genes contribute to breast cancer will provide novel avenues for therapy.Read moreRead less
An International Whole Genome Study To Definitively Map Heritable Risk In Sarcomas
Funder
National Health and Medical Research Council
Funding Amount
$836,550.00
Summary
We want to understand why some people get sarcomas, and others do not. This is likely due to genetic causes, because these cancers affect the young. We now have the tools to address this question, and have created the largest and best characterised study of sarcoma families in the world upon which to apply these tools. This project will create an enduring foundation for research into the genetic basis of sarcomas for the next 20 years.
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.