Human Machine Interface IInextSignals has developed a proprietary relational database that links one’s individual genes to research studies that report correlations between genetic variation and financial decision making.

Our algorithms:

  • match multiple genetic variants, including pleiotropic genetic variants, to Gene-wide Association Studies (GWAS) and large scale meta-analyses
  • cluster lead variants by behavioral associations and provides references for two or more GWAS studies for multiple SNPs
  • assemble a polygenic screen for individual differences in emotional reactivity, impulsivity, cognitive flexibility, and the propensity to take risk
  • calculate genetic risk scores for each gene panel using the weighted sum of the risk allele counts where the weight for each individual variant is determined by the log-odds-ratio of its association with each investment behavior
  • display aberrant genetic variants, ranked by effect size and zygosity
    provide personalized recommendations for allocations to value or growth

Your Risk Scores
nextSignals detects genetic variants in 129 genes known to drive decision making and looks for two genomic signatures – emotion regulation and executive functioning.