Genetic-by-age interaction analyses on complex traits in uk biobank and their potential to identify effects on longitudinal trait change

HIGHLIGHTS

• What: Under certain assumptions the authors demonstrate analytically that genetic-by-age interaction observed in cross-sectional data can be indicative of genetic association on longitudinal trait change. The authors propose a 2-stage approach with genome-wide prescreening for genetic-by-age interaction in cross-sectional data and testing identified variants for longitudinal change in independent longitudinal data. The authors provide analytical and empirical evidence that cross-sectional genetic-by-age interaction can help pinpoint longitudinal-change effects when crosssectional data surpasses longitudinal sample size. The aim of this research is to demonstrate, analytically and empirically . . .
  

   

  

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