In a recently published paper, Magnus Johannesson, Professor at the Department of Economics, and several co-authors created and made available a repository of DNA-based predictors, known as Polygenic indixes (PGIs). They also present a novel methodological approach to research analysis involving PGIs.
Today, PGIs are profoundly impacting research across the disciplinary spectrum. [For example] In medicine, much of the discussion revolves around their potential use as tools for identifying individuals who could benefit from enhanced screening and preventive therapies.
Professor Magnus Johannesson and co-authors
Polygenic indexes (PGIs) are DNA-based predictors. PGIs are becoming extremely popular in human genetics and have largely impacted both the natural and social sciences. Constructing PGI is a time-consuming process, and Professor Magnus Johannesson and his co-authors created numerous datasets of PGIs and made them publicly available via a Polygenic Index Repository. They also presented a novel theoretical framework for Polygenic Indexes and derived a new estimator to correct the errors-in-variables bias of which PGI variables suffer in regression analysis.