About the Project
The PhD student will:
(1) create a Polygenic Risk Score (PRS). Information from alleles identified in GWAS will be collapsed into a PRS. In this way, the cumulative data from across thousands of possible variants can be turned into a single value representing a child’s overall genetic risk for a disorder;
(2) use environmental and lifestyle data from multiple sources and developmental periods to create cumulative indices. We will sum the number of adverse events for each child to create a cumulative index for different timings and type of marker;
(3) analyse PRS by environment interaction models. We will investigate whether multiple indicators of early life adversity moderate the influence of PRS on mood symptoms in children.
The successful PhD applicant will create a polygenic risk score (PRS) for the cohort based on previously published GWAS data and will undertake advanced statistical techniques to determine whether multiple indicators of early life adversity moderate the influence of PRS on mood symptoms in children. Therefore a strong genetic and statistical background is needed for this project along with a passion to better understand childhood mental health.
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