IBCS Seminars Series

Abstract

Current methods for predicting the timing of the end of reproductive life are reliant on detecting the perimenopausal changes in oocyte number and are therefore poor long range predictors. Currently the best predictor of menopause age is mother’s menopause age and this is likely to be largely due to genetic factors. Genetic predictors of menopausal age have the obvious advantage of being present from birth and we are investigating the possibility of combining genetic and non-genetic risk factors into a useful model. Such a model has the potential to offer women advice about their reproductive lifespan from an early age, enabling them to make informed reproductive choices.

Biog

Anna is an Associate Professor of Human Genetics in the College of Medicine and Health at Exeter. She is part of the 'Genetics of Complex Traits' research group and Programme Director of the Masters in Genomic Medicine. Her main research expertise is in the field of reproductive genetics and she has published on single gene mutations which cause premature ovarian failure and also genome-wide studies to detect novel