Inheritage

Inheritage Live

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

• Chloe Chou
• Katarina Rossi
• Lauren Madigan
• Bronwyn Dunn

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.