PATENT CLAIM ANALYSIS

Application Number: 16058849
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["702", "019000"]

Abstract:
The present invention provides processes for determining accurate risk probabilities for fetal aneuploidies. Specifically, the invention provides non-invasive evaluation of genomic variations through chromosome-selective sequencing and non-host fraction data analysis of maternal samples.

Claim (Index 1):
A process implemented by a program executed on a computer for calculating an odds for a fetal aneuploidy in a maternal sample, the process comprising:\n interrogating a set of polymorphic loci in a maternal sample of two or more chromosomes in an assay; comparing one or more polymorphic loci of the set of polymorphic loci that are different in maternal DNA and fetal DNA to measure a fetal proportion and a chromosome dosage for the two or more chromosomes; calculating a first likelihood that a first fetal chromosome is disomic using an expected chromosome dosage of a first chromosome if the first fetal chromosome were disomic; calculating a second likelihood that a first fetal chromosome is aneuploid using the expected chromosome dosage of the first chromosome if the first fetal chromosome were aneuploid adjusted for the measured fetal proportion in the maternal sample to account for an expected representation of the first chromosome if it were aneuploid; and computing the odds for the fetal aneuploidy for the first fetal chromosome by comparing the measured chromosome dosage for the two or more chromosomes in the maternal sample to the first likelihood that a first fetal chromosome is disomic and to the second likelihood that a first fetal chromosome is aneuploid.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 96.0
- Lexical Diversity: 1.16129
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13338963', '13274309', '13720273', '15243915', '13452083']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2767663745028458
- 35 USC 102 Novelty (BERT): 0.7095891939022652
- Combined Prediction Score: 0.3200486564427877
- Mean Citation Score: 497.697584
- Max Citation Score: 772.97144
- Similarity Product: 760.6189837381554

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test