Global Over/Under-representation of Genotype Heterogeneity

Many thanks for your participation in our study. You are taking part in a medical research study to predict phenotypes from genotype, using ab initio computational molecular biology.
Please read the details below before proceeding. [Please note: Only submit somebody else's data if they give you authority.] .

Step 1:
Upload raw DNA data file:

We support raw DNA data files from 23andMe, Ancestry.com and data files from all popular sources.

For more help, click here for our DNA data files information page.

I consent to the processing of my personal data; and acknowledge that: any output shown is likely not real, this study is for research purposes only.
Step 2: Enter your email address and submit your genome for processing.
Step 3: You will receive an email from the Computational Genomics Group within a day or two.
Follow the link in the email to find your personalised questionnaire and results.

The aim of this academic study is to determine whether it is possible to predict phenotype from genotype, and whether we can detect a genetic link to coronavirus risk, using a bioinformatics approach based on the SUPERFAMILY resource.

We are undertaking the study purely for science research purposes. Well ask you to submit your genotype data, and computational predictions of your phenotype will be automatically generated. Since this is a fully-automated computational prediction, only phenotypes from a fixed list of terms can be generated. To access the lists of possible terms, go to the domain-centric Gene Ontology resource (dcGO).

After approximately 24 hours, we will notify you by email that the computation is finished. Then, to determine whether the phenotype terms generated are any better than random, we will ask you to select some multiple choice options. This should take approximately five minutes. On the first page you see, you will be provided with a questionnaire that is personalised to your genome, but not all of these questions will be relevant to you; this is deliberate for purposes of random statistical testing.

On the second and final page it will be revealed which terms were generated from your genotype data. Please note that this is highly experimental and that a likely outcome is that the phenotype terms will be no better than random, and will have no meaning for you. You may complete the questionnaire without seeing your results afterwards by selecting the appropriate checkbox option for this at the top of the questionnaire.

Any results that are published in a scientific journal will be anonymous, and mostly in the form of aggregate statistics across multiple participants. Your genotype data and the complete set of answers that you provide to questions or multiple choice selections will be treated as confidential, and deleted when no longer necessary for this study, however results derived from this data will be retained and possibly published. No individual will ever be identified in any scientific publication and any information shared by you beyond your multiple choice answers will not be used without your permission.

Please note that you are free to withdraw at any time. Upon request we will remove your results from the study and delete any data associated with your participation. N.B. it will not be possible to remove any contribution that your results may have made after they have been published. If you have any further questions, please contact Prof. Julian Gough snow@mrc-lmb.cam.ac.uk.

After your participation we may contact you with follow-up questions in some cases where there is the possibility of a scientific discovery, and if we require more detail than is possible in multiple choice selections to benefit the research. There is no obligation to reply, and you may also respond by requesting to opt out of any future follow-up.

Privacy Notice
UK Research and Innovation understands the importance of protecting personal information and is committed to complying with the General Data Protection Regulation 2016/679 (GDPR). It is committed to fostering a culture of transparency and accountability by demonstrating compliance with the principles set out in the Regulation – as laid out below and in the UKRI privacy policy. Your genotype data will be stored away from the web server encrypted and anonymised, with the exception of any information that appears on the web pages used to serve your results. There is a 'delete' button on every page; after clicking any one of these 'delete' buttons the web pages will all disappear. Offline we will store your genotype data and any answers submitted to questions. Your personal data will not be made public or shared with anyone outside this study without your consent. Your data will not be stored for any longer than is necessary for this study. You may request for any or all of your data to be permanently deleted at any time by requesting in writing. Please address any questions on Data Privacy to the data controller for this project, Prof. Julian Gough.