Establishment of Reproductive Cohort and Prediction Model of Genetic Counseling for Mitochondrial Genetic Diseases

A total of 600 carriers of disease-causing mitochondrial DNA mutations will be selected as the research objects. The basic information, reproductive history, clinical and genetic diagnosis, and clinical symptoms of the carriers will be investigated by questionnaire. Biological samples such as blood, urine, oral epithelial cells, nails, some granulosa cells, trophoderm cells, embryo culture fluid, embryo biopsy fluid, and embryo trophoblast cells of the participants will be collected and the mutation loads of them will be measured. Placenta and umbilical cord blood samples of some fetuses will be collected after delivery, and the mitochondrial DNA mutation heterogeneity level will be determined. Multiple Logistic regression, Sewell-Wright equation, Kimura equation, binomial distribution model, and machine learning model will be used to establish a prediction model of the incidence probability of mitochondrial diseases and predict the onset threshold of common mitochondrial DNA mutations after standardizing. The distribution model of mitochondrial mutation load in offspring will be established to predict the maternal genetic risk of mitochondrial DNA mutation. A prediction model for egg retrieval will be established to estimate the minimum number of eggs taken by preimplantation genetic testing in mitochondrial mutation carriers. Finally, an online prediction platform for mitochondrial genetic disease genetic counseling will be established to provide standardized standards for mitochondrial disease genetic counseling and PGT.