Abstract: The invention provides methods for analyzing a patient's potential for achieving ongoing pregnancy with respect to a specific fertility treatment. These methods involve conducting one or more tests on the patient to determine a body mass index (BMI) of the patient and obtaining one or more clinical characteristics from the patient. In one aspect, at least one of the clinical characteristics is age, clinical diagnosis, weight, basal antral follicle count, or current medications. The methods further involve comparing the obtained clinical characteristics to a reference set of data obtained from a female reference population for which results of fertility treatments are known, at least some of the reference population having used ovulation induction agents. Based on the results of the comparing step, the patient is then informed of her potential for achieving ongoing pregnancy with respect to the specific fertility treatment.

Abstract: Embodiments of the present disclosure relate an ovarian characteristic measurement method and system. A data interface is configured to receive a set of reproductive health data of a patient. The reproductive health data is processed using an ovarian characteristic data structure stored in memory. The data structure is generated from an ovarian characteristic data model that defines the ovarian characteristic. For instance, the data model defines a processing of the reproductive health data to yield a measurement of the ovarian characteristic. Accordingly, a format of the ovarian data structure is selected to optimize computing resources required to process the set of reproductive health data. The method and system then determine a value of the ovarian characteristic of the patient based on the processing of the set of reproductive health data.

Abstract: The invention provides methods for generating a likelihood of achieving ongoing pregnancy in an individual by combining both clinical and genetic data. These methods involve the determination of one or more correlations between clinical characteristics and known pregnancy and infertility-related outcomes from a reference set of data to provide a model representative of a cumulative probability of ongoing pregnancy. The methods further involve the determination of one or more correlations between genetic characteristics and known pregnancy and infertility-related outcomes from the reference set of data to adjust the model. The model can then be applied to the input data to generate the likelihood of achieving ongoing pregnancy in the subject.

Abstract: The present invention relates to methods and systems for assessing risk of infertility and ovarian dysfunction and/or diminished ovarian reserve and/or for determining an appropriate course of treatment. In some embodiments, the invention provides methods for assessing likelihood of ovarian dysfunction, including identifying a plurality of genetic variants that are filtered into functional biological pathways. The frequency distribution of the variants in each functional pathway is then compared to frequency distributions obtained from reference sets corresponding to each pathway. Further embodiments of the invention comprise clustering subjects based on patterns in their genetic variants, and identifying phenotypic differences with respect to ovarian dysfunction between clusters of patients.