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    • 5. 发明公开
    • SYSTEM AND METHOD FOR CLEANING NOISY GENETIC DATA AND USING DATA TO MAKE PREDICTIONS
    • EP3373175A1
    • 2018-09-12
    • EP17207702.6
    • 2006-11-22
    • Natera, Inc.
    • RABINOWITZ, MatthewBANJEVIC, MilenaDEMKO, Zachary PaulJOHNSON, David Scott
    • G06F19/18G06F19/22G06F19/24
    • G06F19/18G06F19/22G06F19/24
    • A system and method for determining the genetic data for one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available, and also for predicting likely phenotypic outcomes using mathematical models and given genetic, phenotypic and/or clinical data of an individual, and also relevant aggregated medical data consisting of genotypic, phenotypic, and/or clinical data from germane patient subpopulations. Genetic data for the target individual is acquired and amplified using known methods, and poorly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related subjects. In one embodiment of the invention, incomplete genetic data from an embryonic cell is reconstructed using the more complete genetic data from a larger sample of diploid cells from one or both parents, with or without genetic data from haploid cells from one or both parents, and/or genetic data taken from other related individuals. In another embodiment, incomplete genetic data from a fetus is acquired from fetal cells, or cell-free fetal DNA isolated from the mother's blood, and the incomplete genetic data is reconstructed using the more complete genetic data from a larger sample diploid cells from one or both parents, with or without genetic data from haploid cells from one or both parents, and/or genetic data taken from other related individuals. In another embodiment, the genetic data can be reconstructed for the purposes of making phenotypic predictions. In another embodiment, the genetic data can be used to detect for aneuploides and uniparental disomy. In another embodiment, phenotypic predictions may be made using models based on contingency tables for genetic data that can be constructed from data available in genomic databases. In another embodiment, a plurality of models are created and tested using a set of test data, and the prediction is made using the model that is identified as the most accurate.