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Abstract

The present invention relates generally to methods, algorithms, kits and systems for assessing health, diagnosing disease and generating recommendations using SNV markers specific to a cohort. A genetic sample of an individual is assayed using a genotyping assay to identify at least one SNV. The genotyping assay may be a computer analysis using a database, a nucleic acid microarray assay or a PCR assay. The identified SNV can be compared with a database of SNV markers to identify a plurality of risk SNVs, which are associated with a disease state or pathological condition, including pharmacological sensitivity or resistance. A genetic risk factor (GRF) may be calculated using a weighted score. The GRF is used to determine the risk level associated with the disease. A matrix may be generated using the genetic profile and recommendations specific to cohort and physiologic data. The user is allowed to input physiologic and genomic data, which is compared to the matrix to generate recommendations. In another aspect, the present invention relates to an analytical tool to analyze and relate genomic data with an individual's phenotype across multiple dimensions such as his or her health, age, family, ethnicity, environment and current scientific understanding. The analytical tool enables the individual to specify the genomic sequence as well as to feed in his or her phenotype data along with his or her family's phenotype data. The genomic sequence entered is then compared with a population database to generate a list of associated genetic disorders. This list is then overlaid against the individual's phenotype and his or her family phenotype data to confirm the genetic disorders identified. A real time report is generated and data is updated in real time on the population database to provide relevant and updated genetic information to users.

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First Claim