  Analysis of genetic data opens up many opportunities for medical and
scientific advances. The use of phenotypic information and polygenic risk
scores to analyze genetic data is widespread. Most work on genetic privacy
focuses on basic genetic data such as SNP values and specific genotypes. In
this paper, we introduce a novel methodology to quantify and prevent privacy
risks by focusing on polygenic scores and phenotypic information. Our
methodology is based on the tool-supported privacy risk analysis method Privug.
We demonstrate the use of Privug to assess privacy risks posed by disclosing a
polygenic trait score for bitter taste receptors, encoded by TAS2R38 and
TAS2R16, to a person's privacy in regards to their ethnicity. We provide an
extensive privacy risks analysis of different programs for genetic data
disclosure: taster phenotype, tasting polygenic score, and a polygenic score
distorted with noise. Finally, we discuss the privacy/utility trade-offs of the
polygenic score.
