Professor Peter Rogers at the Department of Obstetrics and Gynaecology will perform next-generation sequencing to find new solutions for patients with common endometrial related health problems such as abnormal menstrual bleeding, infertility and pregnancy disorders.
Lead: Professor Peter Rogers at the Department of Obstetrics and Gynaecology, The University of Melbourne
Key partners: Royal Women’s Hospital, Mercy Hospital
Investigators: Dr Jacqueline Donoghue, Dr Wan Tinn Teh, Jessica Chung, Associate Professor Martin Healy, Dr Samantha Mooney
Associate team members: Associate Professor Emma Readman, Associate Professor Kate Stern, Dr Catarina Ang, Dr Lenore Ellett
Nearly all women will experience one or more endometrial related health problems across the course of their lifetime. Despite their heavy burden, many of these issues remain largely understudied.
Professor Peter Rogers’ team at theUniversity of Melbourne Department of Obstetrics and Gynaecology have developed and patented a novel genomics method for accurately determining the stage of the menstrual cycle.
This research has opened the door to new ways to investigate the lining of the uterus, laying the groundwork for diagnostic and therapeutic solutions to common health problems such as abnormal menstrual bleeding, infertility and pregnancy disorders.
"It is generally recognised that there are opportunities in women’s health that are unmet. Our TAGC innovation project is going to recruit patients with common endometrial related health problems, collect bloods and tissues to do genomics on, which will allow us to give more appropriate and targeted treatments to individuals."
Professor Peter Rogers
Building on this work, Professor Rogers’ TAGC Innovation Project will recruit and perform next-generation sequencing on up to 800 patients experiencing endometrial related health concerns from the Royal Women’s and Mercy hospitals.
Tissues, bloods and detailed clinical data will be stored in an established tissue bank, significantly expanding upon the existing genomics database for a wider range of gynaecological problems.