Genome sharing

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The 23Andme, Inc. patent solves the following problem:

Recently, interest in genetics and genetic testing raised as to increase the amount of research on how genetic information of a human influence on a person's background, appearance, behavior, and physiology. Genetic information may be available to a person through the Internet. To prevent others from seeing the personal data, the individual is often required to login using a password to gain access to his data. In some cases, a person may want to share his personal information with one or more other people, such as family members. However, current techniques for sharing personal data on basic and had limited capabilities. Thus, growth in the share of personal data that can be useful.

Our analysis of this patent is as follows:

23Andme, Inc.’s patent US 9336177 B2 deals with Genome sharing.
Sharing the data revealed. In some cases, the sharing of data includes receiving a request to share information from a first account to a second account, receiving an indication of a plurality of first profile account associated with the first account to share with the second account, and build share from the plurality of first account profile in the second account, which divide up the second account with read access to a subset of nonpublic data associated with the plurality of first profile accounts.

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Scalable pipeline for local ancestry inference

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The 23Andme, Inc. patent solves the following problem:

Ancestry deconvolution aims to recognize the ancestral origin of chromosomal people. Ancestry deconvolution admixed individuals (ie, those whose ancestors as grandparents from different regions) is straightforward when the global population considered sufficient (for example, a grandfather from Europe and one from Asia). To date, however, current methods are often not effective in distinguishing between closely related populations (eg, in Europe). Furthermore, because of their computational complexity, the current procedures for background deconvolution not good for application in setting large-scale, which references ornaments used include thousands of people.

Our analysis of this patent is as follows:

23Andme, Inc.’s patent US 9213947 B1 deals with Scalable pipeline for local ancestry inference.
Ancestry deconvolution includes gain unphased genotype data in an individual; destroy, to use one or more processors, unphased genotype data creation of haplotype data; Using a machine learning to classify the portion of lost data haplotype as equivalent in certain ancestries individuals and create initial classification results; and correction of errors in the classification results in the creation of modified classification results.

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Gamete donor selection based on genetic calculations

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The 23Andme, Inc. patent solves the following problem:

Gamete storage facilities like a seed / egg bank making more people have greater control and more choice in reproduction. At present, some facilities in collecting the sperm or egg donation as well as certain profile information about the donors. Such information generally includes the donor race, height, weight, age, blood type, health condition, eye color, educational background, family history, and with a potential recipient can review the profile and make a choice. Although the personal profiles of donors can serve a useful purpose for the potential recipient to make a better choice, the information is usually offered only limited understanding for recipients with specific concerns about certain genetic traits, such as hereditary diseases, to make a truly informed choice. For example, a recipient of a family history of breast cancer may worry about receiving a donation from a man who was also a high risk group; however, if the family history information is incomplete or unavailable, have not been able to make an informed choice.

Our analysis of this patent is as follows:

23Andme, Inc.’s patent US 8543339 B2 deals with Gamete donor selection based on genetic calculations.
Gamete donor selection includes receiving a call including a phenotype of interest, accepting a genotype one receiving a plurality of genotypes in a respective plurality of donors, determine statistical information about the phenotype of interest based at least in part to different pairings genotype recipient and a genotype of a donor plurality of donors, and the recognition of a donor among the plurality of donors, based at least in part on statistical information determined.

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