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Inheritage

Inheritage Live

home-page

Background

The 1000 Genome Project ran over a span of 7 years and resulted in the creation of the largest public database of human genetic information. Our project makes this information accessible to everyone in a fun and easy to understand way by displaying genetic statistics based on their heritage on an interactive map. Inheritage exclusively contains information on Single Nucleotide Polymorphisms (SNP), a common variance between different ethnicities.

This project incorporates a Django backend with a RESTful API and PostgreSQL database and React.js with Redux on the frontend.

Below is a non exhaustive list of the technologies that were used in the creation of this application:

Frontend

  • React
  • React Router
  • Redux
  • Babel & Webpack
  • Recharts for React
  • Google Maps API

Backend

  • Django
  • Restless
  • WhiteNoise

Please see the docs folder for more information on the development of this project. The database was seeded with the help of SNPedia and 1000 Genomes.

Group Members

Features and Implementation

After the user submits a list of up to 6 general ethnicities, they are brought to a profile displaying a world map.



Each map marker reflects an ethnicity and reveals a modal including all the associated SNP data for each ethnicity.

To fetch the appropriate statistics, we query the database for only the data_points belonging to specific sub_populations that fall underneath the umbrella of the submitted ethnicities.

# in models.py
class UserEthnicity(models.Model):
    def ethnicity_ids(self):
        return self.ethnicity.populations.all().values('id')

# in profiles.py
profile = Profile.objects.get(id=pk)
    ethnicity_set = profile.userethnicity_set.select_related('ethnicity').all()
    ethnicities = []

    for user_ethnicity in ethnicity_set:
        data_points = []
        eth_ids = user_ethnicity.ethnicity_ids()
        all_dps = DataPoint.objects.filter(sub_population_id__in=eth_ids).order_by('-sub_population__specific').select_related('snp', 'sub_population')

Clicking on a data point in the modal leads to a summary page, with a description of the SNP and a graph displaying the frequency of the highlighted genotype in the more general super-populations.

Future Directions

  • We plan to allow the user to create an account so that they are able to save their profile to view the next time they log in.
  • We also plan to create a SNP index, so users can more easily navigate to each SNP detail page.