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Full-Text Articles in Genetics and Genomics
For Whom The Bell Tolls: Psychopathological And Neurobiological Correlates Of The Dna Methylation Index Of Time-To-Death, Sage E. Hawn, Xiang Zhao, Danielle R. Sullivan, Mark Logue, Dana Fein-Schaffer, William Milberg, Regina Mcglinchey, Mark W. Miller, Erika J. Wolf
For Whom The Bell Tolls: Psychopathological And Neurobiological Correlates Of The Dna Methylation Index Of Time-To-Death, Sage E. Hawn, Xiang Zhao, Danielle R. Sullivan, Mark Logue, Dana Fein-Schaffer, William Milberg, Regina Mcglinchey, Mark W. Miller, Erika J. Wolf
Psychology Faculty Publications
Psychopathology is a risk factor for accelerated biological aging and early mortality. We examined associations between broad underlying dimensions of psychopathology (reflecting internalizing and externalizing psychiatric symptoms), PTSD, and age-adjusted GrimAge (“GrimAge residuals”), a DNA methylation biomarker of mortality risk relative to age. We also examined neurobiological correlates of GrimAge residuals, including neurocognitive functioning, blood-based biomarkers (of inflammation, neuropathology, metabolic disease), and cortical thickness. Data from two independent trauma-exposed military cohorts (n = 647 [62.9% male, Mage = 52], n = 434 [90% male, Mage = 32]) were evaluated using linear regression models to test associations between …
Multiple Imputation To Correct For Measurement Error In Admixture Estimates In Genetic Structured Association Testing, Miguel A. Padilla, Jamin Divers, Laura K. Vaughan, David B. Allison, Hemant K. Tiwari
Multiple Imputation To Correct For Measurement Error In Admixture Estimates In Genetic Structured Association Testing, Miguel A. Padilla, Jamin Divers, Laura K. Vaughan, David B. Allison, Hemant K. Tiwari
Psychology Faculty Publications
Objectives: Structured association tests ( SAT), like any statistical model, assumes that all variables are measured without error. Measurement error can bias parameter estimates and confound residual variance in linear models. It has been shown that admixture estimates can be contaminated with measurement error causing SAT models to suffer from the same afflictions. Multiple imputation (MI) is presented as a viable tool for correcting measurement error problems in SAT linear models with emphasis on correcting measurement error contaminated admixture estimates. Methods: Several MI methods are presented and compared, via simulation, in terms of controlling Type I error rates for both …