Analysis of Population Admixture and Its Implications for Studies of Dysmenorrhoea
Principal Investigator: Dr Zhiqiang Li
Approved Research ID: 50708
Approval date: October 30th 2019
Dysmenorrhoea is a medical condition characterized by menstrual pain, and Its aetiology and pathophysiology remain largely unknown. This project is intended to identify genetic factors for dysmenorrhoea by leveraging multi-ancestry genome-wide data. We will use data from both of UK Biobank (European) and our own study (Chinese). The trans-ethnic genetic analysis from different populations is proven to increase power for detecting genetic factors. The duration of this project is about six months. This project may provide new insights into the understanding of dysmenorrhoea and facilitate management of the condition.