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.] .
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 firstname.lastname@example.org.
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.