Abstract: The invention provides human polymorphisms that are associated with Parkinson's disease (PD). Also disclosed are compositions and methods for use in diagnostics, prognostics, prevention, treatment and/or study of PD.

Abstract: Presenting ancestral origin information, comprising: receiving a request to display ancestry data of an individual; obtaining ancestry composition information of the individual, the ancestry composition information including information pertaining to a proportion of the individual's genotype data that is deemed to correspond to a specific ancestry; and presenting the ancestry composition information to be displayed.

Abstract: Ancestry deconvolution includes obtaining unphased genotype data of an individual; phasing, using one or more processors, the unphased genotype data to generate phased haplotype data; using a learning machine to classify portions of the phased haplotype data as corresponding to specific ancestries respectively and generate initial classification results; and correcting errors in the initial classification results to generate modified classification results.

Abstract: Determining relative relationships of people who share a common ancestor within at least a threshold number of generations includes: receiving recombinable deoxyribonucleic acid (DNA) sequence information of a first user and recombinable DNA sequence information of a plurality of users; processing, using one or more computer processors, the recombinable DNA sequence information of the plurality of users in parallel; determining, based at least in part on a result of processing the recombinable DNA information of the plurality of users in parallel, a predicted degree of relationship between the first user and a user among the plurality of users, the predicted degree of relative relationship corresponding to a number of generations within which the first user and the second user share a common ancestor.

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.