Patents by Inventor Kenneth Gregory Chahine
Kenneth Gregory Chahine has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11335435Abstract: Identification of inheritance-by-descent haplotype matches between individuals is described. A set of tables including word match, haplotypes and segment match tables are populated. DNA samples are received and stored. A word identification module extracts haplotype values from each sample. The word match table is indexed according to the unique combination of position and haplotype. Each column represents a different sample, and each cell indicates whether that sample includes that haplotype at that position. The haplotypes table includes the raw haplotype data for each sample. The segment match table is indexed by sample identifier, and columns represent other samples. Each cell is populated to indicate for each identified sample pair which position range(s) include matching haplotypes for both samples. The tables are persistently stored in databases of the matching system. As new sample data is received, each table is updated to include the newly received samples, and additional matching takes place.Type: GrantFiled: October 4, 2018Date of Patent: May 17, 2022Assignee: Ancestry.com DNA, LLCInventors: Jake Kelly Byrnes, Aaron Ling, Keith D. Noto, Jeremy Pollack, Catherine Ann Ball, Kenneth Gregory Chahine
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Publication number: 20190267109Abstract: Described embodiments enable identification of family networks using combinations of DNA analysis and genealogical information. Genealogical data is provided by users of a genealogical research service or collected from other sources and used to create family trees for each user. DNA samples are also received from the users. By analyzing the DNA samples, potential genetic relationships can be identified between some users. Once these DNA-suggested relationships have been identified, common ancestors can be sought in the respective trees of the potentially related users. Where these common ancestors exist, an inference is drawn that the DNA-suggested relationship accurately represents a familial overlap between the individuals in question. People descended from the same common ancestor are each members of a family network. Members of a family network not in a user's tree may be identified for the user, enabling the user to discover additional ancestors that might otherwise have remained unknown.Type: ApplicationFiled: May 8, 2019Publication date: August 29, 2019Inventors: Mathew J. Barber, Ross E. Curtis, Catherine Ann Ball, Kenneth Gregory Chahine
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Patent number: 10296710Abstract: Described embodiments enable identification of family networks using combinations of DNA analysis and genealogical information. Genealogical data is provided by users of a genealogical research service or collected from other sources and used to create family trees for each user. DNA samples are also received from the users. By analyzing the DNA samples, potential genetic relationships can be identified between some users. Once these DNA-suggested relationships have been identified, common ancestors can be sought in the respective trees of the potentially related users. Where these common ancestors exist, an inference is drawn that the DNA-suggested relationship accurately represents a familial overlap between the individuals in question. People descended from the same common ancestor are each members of a family network. Members of a family network not in a user's tree may be identified for the user, enabling the user to discover additional ancestors that might otherwise have remained unknown.Type: GrantFiled: June 15, 2016Date of Patent: May 21, 2019Assignee: Ancestry.com DNA, LLCInventors: Mathew J. Barber, Ross E. Curtis, Catherine Ann Ball, Kenneth Gregory Chahine
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Publication number: 20190139624Abstract: Identification of inheritance-by-descent haplotype matches between individuals is described. A set of tables including word match, haplotypes and segment match tables are populated. DNA samples are received and stored. A word identification module extracts haplotype values from each sample. The word match table is indexed according to the unique combination of position and haplotype. Each column represents a different sample, and each cell indicates whether that sample includes that haplotype at that position. The haplotypes table includes the raw haplotype data for each sample. The segment match table is indexed by sample identifier, and columns represent other samples. Each cell is populated to indicate for each identified sample pair which position range(s) include matching haplotypes for both samples. The tables are persistently stored in databases of the matching system. As new sample data is received, each table is updated to include the newly received samples, and additional matching takes place.Type: ApplicationFiled: October 4, 2018Publication date: May 9, 2019Inventors: Jake Kelly Byrnes, Aaron Ling, Keith D. Noto, Jeremy Pollack, Catherine Ann Ball, Kenneth Gregory Chahine
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Patent number: 10114922Abstract: Identification of inheritance-by-descent haplotype matches between individuals is described. A set of tables including word match, haplotypes and segment match tables are populated. DNA samples are received and stored. A word identification module extracts haplotype values from each sample. The word match table is indexed according to the unique combination of position and haplotype. Each column represents a different sample, and each cell indicates whether that sample includes that haplotype at that position. The haplotypes table includes the raw haplotype data for each sample. The segment match table is indexed by sample identifier, and columns represent other samples. Each cell is populated to indicate for each identified sample pair which position range(s) include matching haplotypes for both samples. The tables are persistently stored in databases of the matching system. As new sample data is received, each table is updated to include the newly received samples, and additional matching takes place.Type: GrantFiled: September 17, 2013Date of Patent: October 30, 2018Assignee: Ancestry.com DNA, LLCInventors: Jake Kelly Byrnes, Aaron Ling, Keith D. Noto, Jeremy Pollack, Catherine Ann Ball, Kenneth Gregory Chahine
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Publication number: 20160300012Abstract: Described embodiments enable identification of family networks using combinations of DNA analysis and genealogical information. Genealogical data is provided by users of a genealogical research service or collected from other sources and used to create family trees for each user. DNA samples are also received from the users. By analyzing the DNA samples, potential genetic relationships can be identified between some users. Once these DNA-suggested relationships have been identified, common ancestors can be sought in the respective trees of the potentially related users. Where these common ancestors exist, an inference is drawn that the DNA-suggested relationship accurately represents a familial overlap between the individuals in question. People descended from the same common ancestor are each members of a family network. Members of a family network not in a user's tree may be identified for the user, enabling the user to discover additional ancestors that might otherwise have remained unknown.Type: ApplicationFiled: June 15, 2016Publication date: October 13, 2016Inventors: Mathew J. Barber, Ross E. Curtis, Catherine Ann Ball, Kenneth Gregory Chahine
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Patent number: 9390225Abstract: Described embodiments enable identification of family networks using combinations of DNA analysis and genealogical information. Genealogical data is provided by users of a genealogical research service or collected from other sources and used to create family trees for each user. DNA samples are also received from the users. By analyzing the DNA samples, potential genetic relationships can be identified between some users. Once these DNA-suggested relationships have been identified, common ancestors can be sought in the respective trees of the potentially related users. Where these common ancestors exist, an inference is drawn that the DNA-suggested relationship accurately represents a familial overlap between the individuals in question. People descended from the same common ancestor are each members of a family network. Members of a family network not in a user's tree may be identified for the user, enabling the user to discover additional ancestors that might otherwise have remained unknown.Type: GrantFiled: March 15, 2014Date of Patent: July 12, 2016Assignee: Ancestry.com DNA, LLCInventors: Mathew J. Barber, Ross E. Curtis, Catherine Ann Ball, Kenneth Gregory Chahine
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Publication number: 20160026755Abstract: Identification of inheritance-by-descent haplotype matches between individuals is described. A set of tables including word match, haplotypes and segment match tables are populated. DNA samples are received and stored. A word identification module extracts haplotype values from each sample. The word match table is indexed according to the unique combination of position and haplotype. Each column represents a different sample, and each cell indicates whether that sample includes that haplotype at that position. The haplotypes table includes the raw haplotype data for each sample. The segment match table is indexed by sample identifier, and columns represent other samples. Each cell is populated to indicate for each identified sample pair which position range(s) include matching haplotypes for both samples. The tables are persistently stored in databases of the matching system. As new sample data is received, each table is updated to include the newly received samples, and additional matching takes place.Type: ApplicationFiled: September 17, 2013Publication date: January 28, 2016Applicant: Ancestry.com DNA, LLCInventors: Jake Kelly Byrnes, Aaron Ling, Keith D. Noto, Jeremy Pollack, Catherine Ann Ball, Kenneth Gregory Chahine
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Publication number: 20140278138Abstract: Described embodiments enable identification of family networks using combinations of DNA analysis and genealogical information. Genealogical data is provided by users of a genealogical research service or collected from other sources and used to create family trees for each user. DNA samples are also received from the users. By analyzing the DNA samples, potential genetic relationships can be identified between some users. Once these DNA-suggested relationships have been identified, common ancestors can be sought in the respective trees of the potentially related users. Where these common ancestors exist, an inference is drawn that the DNA-suggested relationship accurately represents a familial overlap between the individuals in question. People descended from the same common ancestor are each members of a family network. Members of a family network not in a user's tree may be identified for the user, enabling the user to discover additional ancestors that might otherwise have remained unknown.Type: ApplicationFiled: March 15, 2014Publication date: September 18, 2014Applicant: Ancestry.com DNA, LLCInventors: Mathew J. Barber, Ross E. Curtis, Catherine Ann Ball, Kenneth Gregory Chahine
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Publication number: 20140067355Abstract: Phased haplotype features are used to infer an individual's ancestry. Reference genomic data is obtained for individuals of known ancestral origin. Haplotype features are identified based on consecutive SNPs from each individual. Sample genomic data is obtained for an individual of unknown ancestral origin. The data is phased and divided into features analogous to the features in the reference data. An admixture estimator then performs an admixture estimation based on the observed feature values in the sample data and the reference data. The estimation indicates a contribution of each of the known populations to the genome of the sample individual.Type: ApplicationFiled: September 6, 2013Publication date: March 6, 2014Applicant: Ancestry.com DNA, LLCInventors: Keith D. Noto, Jake Kelly Byrnes, Catherine Ann Ball, Kenneth Gregory Chahine