Frank D. Mann, Ph.D.

Welcome to my website. I am a postdoctoral research associate at the University of Minnesota. I work with Drs. Colin DeYoung and Robert Krueger in the Department of Psychology and Dr. Valerie Tiberius in the Department of Philosophy. I am also a member of the editorial board of Personality and Individual Differences and work as an adjunct instructor at Augsburg University. 


My work is focused on understanding the biological and social factors that contribute to health and well-being. I am especially interested in how individual differences in personality relate to different forms of psychopathology, on the one hand, and subjective well-being, on the other. I am also interested in how genetically-informative designs can be used to increase the precision with which exposure effects are estimated in non-experimental studies. I approach these and related topics by using theories and methods from differential psychology, applied statistics, developmental psychopathology, and behavioral genetics. Some of my publications can be found in Clinical Psychological Science, Developmental & Psychopathology, Journal of Research in Personality, and Journal of Abnormal Psychology. 



(Mann, Shabalin, Docherty, & Krueger, 2019)

Using path analysis to control for pleiotropy in a Mendelian randomization study with multiple polygenic scores: 

PRS = polygenic score. E = exposure. Y = outcome. (A) regression of the exposure on polygenic risk for the exposure- i.e. test of gene-environment correlation. (B) correlation between polygenic risk for the exposure and polygenic risk for the outcome- i.e. test of pleiotropy. (C) regression of the outcome on polygenic risk for the outcome. - i.e. statistical control for pleiotropic effects. (D) regression of the exposure on polygenic risk for the outcome- i.e. additional test and control for gene-environment correlation. (E) regression of the outcome on polygenic risk for the exposure, accounting for the exposure and polygenic risk for the outcome- i.e. a test of control for pleiotropy. (F) regression of the outcome on the exposure, controlling for gene-environment correlations and pleiotropy. U = Unmeasured confounders.  


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Curriculum Vitae

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