Abstract: Displaying a comparison of genetic data is disclosed, including receiving an indication of a first individual, receiving an indication of a second individual, retrieving the genotypic information for the first individual and the second individual, comparing the genotypic information of the first individual and the second individual, displaying an indication of the comparison of the genotypic information of the first individual and the second individual graphically. A first graphical symbol is used to display an indication of the genome regions for which the first individual and the second individual are identical. A second graphical symbol is used to display an indication of the genome regions for which the first individual and the second individual are half identical.

Abstract: Sharing data is disclosed. In some cases, sharing data includes receiving a request to share data from a first account to a second account, receiving an indication of a plurality of first account profiles associated with the first account to share with the second account, and establishing sharing from the plurality of first account profiles to the second account, wherein sharing comprises the second account having read access to a subset of nonpublic data associated with the plurality of first account profiles.

Abstract: Sharing data is disclosed. In some cases, sharing data includes receiving a request to share data from a first account to a second account, receiving an indication of a plurality of first account profiles associated with the first account to share with the second account, and establishing sharing from the plurality of first account profiles to the second account, wherein sharing comprises the second account having read access to a subset of nonpublic data associated with the plurality of first account profiles.

Abstract: Sharing data is disclosed. In some cases, sharing data includes receiving a request to share data from a first account to a second account, receiving an indication of a plurality of first account profiles associated with the first account to share with the second account, and establishing sharing from the plurality of first account profiles to the second account, wherein sharing comprises the second account having read access to a subset of nonpublic data associated with the plurality of first account profiles.

Abstract: Sharing data is disclosed. In some cases, sharing data includes receiving a request to share data from a first account to a second account, receiving an indication of a plurality of first account profiles associated with the first account to share with the second account, and establishing sharing from the plurality of first account profiles to the second account, wherein sharing comprises the second account having read access to a subset of nonpublic data associated with the plurality of first account profiles.

Abstract: Displaying a comparison of genetic data is disclosed, including receiving an indication of a first individual, receiving an indication of a second individual, retrieving the genotypic information for the first individual and the second individual, comparing the genotypic information of the first individual and the second individual, displaying an indication of the comparison of the genotypic information of the first individual and the second individual graphically. A first graphical symbol is used to display an indication of the genome regions for which the first individual and the second individual are identical. A second graphical symbol is used to display an indication of the genome regions for which the first individual and the second individual are half identical.

Abstract: Displaying a comparison of genetic data is disclosed, including receiving an indication of a first individual, receiving an indication of a second individual, retrieving the genotypic information for the first individual and the second individual, comparing the genotypic information of the first individual and the second individual, displaying an indication of the comparison of the genotypic information of the first individual and the second individual graphically. A first graphical symbol is used to display an indication of the genome regions for which the first individual and the second individual are identical. A second graphical symbol is used to display an indication of the genome regions for which the first individual and the second individual are half identical.

Abstract: Displaying a comparison of genetic data is disclosed, including receiving an indication of a first individual, receiving an indication of a second individual, retrieving the genotypic information for the first individual and the second individual, comparing the genotypic information of the first individual and the second individual, displaying an indication of the comparison of the genotypic information of the first individual and the second individual graphically. A first graphical symbol is used to display an indication of the genome regions for which the first individual and the second individual are identical. A second graphical symbol is used to display an indication of the genome regions for which the first individual and the second individual are half identical.

Abstract: Displaying a comparison of genotypic information between relatives is disclosed, including receiving an indication that a first individual is a grandparent, receiving an indication that a second individual is a grandchild of the first individual, comparing the genotypic information of the first individual and the second individual and calculating a similarity score, and displaying an indication of the similarity score graphically using colors.

Abstract: Displaying a comparison of genotypic information between relatives is disclosed, including receiving an indication that a first individual is a grandparent, receiving an indication that a second individual is a grandchild of the first individual, comparing the genotypic information of the first individual and the second individual and calculating a similarity score, and displaying an indication of the similarity score graphically using colors.

Abstract: Summarizing an aggregate contribution to a phenotypic characteristic for an individual includes: receiving information pertaining to the phenotypic characteristic of an individual; identifying, using one or more computer processors, a set of one or more markers associated with the phenotypic characteristic; obtaining a set of one or more marker measurements of the individual that corresponds to the set of one or more markers; obtaining a set of one or more statistical factors that measure associations between the set of one or more markers and the phenotypic characteristic; determining an aggregate contribution to the phenotypic characteristic of the individual based at least in part on the retrieved set of one or more statistical factors; and outputting a display characteristic to be displayed that is associated with the aggregate contribution to the phenotypic characteristic for the individual.

Abstract: Sharing data is disclosed. In some cases, sharing data includes receiving a request to share data from a first account to a second account, receiving an indication of a plurality of first account profiles associated with the first account to share with the second account, and establishing sharing from the plurality of first account profiles to the second account, wherein sharing comprises the second account having read access to a subset of nonpublic data associated with the plurality of first account profiles.

Abstract: Sharing data is disclosed. In some cases, sharing data includes receiving a request to share data from a first account to a second account, receiving an indication of a plurality of first account profiles associated with the first account to share with the second account, and establishing sharing from the plurality of first account profiles to the second account, wherein sharing comprises the second account having read access to a subset of nonpublic data associated with the plurality of first account profiles.

Abstract: Processing genetic data includes receiving two or more genetic data sets for an individual from one or more genetic data sources, wherein the genetic data sets comprises data pertaining to the individual's deoxyribonucleic acid (DNA); merging the genetic data sets from the one or more genetic data sources to obtain a set of merged genetic data for the individual, including: identifying data in the genetic data sets that is conflicting, the identified data corresponding to a genetic marker associated with a variation that occurs at a region in the individual's genome; analyzing the identified data to resolve a discrepancy attributed to the identified conflicting data and automatically determine an appropriate value that corresponds to the genetic marker, the analysis and the determination being based at least in part on contextual information; and storing the appropriate value in the set of merged genetic data.

Abstract: Processing genetic data includes receiving two or more genetic data sets for an individual from one or more genetic data sources, wherein the genetic data sets comprises data pertaining to the individual's deoxyribonucleic acid (DNA); merging the genetic data sets from the one or more genetic data sources to obtain a set of merged genetic data for the individual, including: identifying data in the genetic data sets that is conflicting, the identified data corresponding to a genetic marker associated with a variation that occurs at a region in the individual's genome; analyzing the identified data to resolve a discrepancy attributed to the identified conflicting data and automatically determine an appropriate value that corresponds to the genetic marker, the analysis and the determination being based at least in part on contextual information; and storing the appropriate value in the set of merged genetic data.

Abstract: Processing genetic data is disclosed, including: receiving two or more genetic data sets for an individual from one or more genetic data sources; merging the genetic data sets from the one or more genetic data sources, including identifying a duplicate SNP between the genetic data sets and determining one or more data values to be stored for the duplicate SNP; and storing a single set of merged genetic data for the individual.

Abstract: Summarizing an aggregate contribution to a phenotypic characteristic for an individual includes: receiving information pertaining to the phenotypic characteristic of an individual; identifying, using one or more computer processors, a set of one or more markers associated with the phenotypic characteristic; obtaining a set of one or more marker measurements of the individual that corresponds to the set of one or more markers; obtaining a set of one or more statistical factors that measure associations between the set of one or more markers and the phenotypic characteristic; determining an aggregate contribution to the phenotypic characteristic of the individual based at least in part on the retrieved set of one or more statistical factors; and outputting a display characteristic to be displayed that is associated with the aggregate contribution to the phenotypic characteristic for the individual.

Abstract: A system for separating identifying data from personal data is disclosed. The system includes: a first set of stored data comprising a plurality of identifying data structures containing identifying data; a second set of stored data comprising a plurality of personal data structures containing personal data; a set of mapping data comprising a plurality of mappings, wherein each mapping is between an identifying data structure and a personal data structure; and an application configured to receive mapping data associated with a mapping, determine a mapping associated with the mapping data, and obtain a personal data structure based on the mapping. The set of mapping data is logically separate from the first set of stored data, the second set of stored data, and the application.

Abstract: Summarizing an aggregate contribution to a characteristic for an individual is disclosed, including determining the characteristic to be evaluated, identifying one or more markers associated with the characteristic, retrieving the measurement of the individual for each of the one or more markers from a database of individuals' markers, retrieving a statistical factor that measures the association between the marker associated with the characteristic and the characteristic for each of the one or more markers from the marker database, and determining the aggregate contribution based at least in part on the retrieved statistical factors.