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Translational Psychiatry|September 24, 2020
Gene co-expression networks in peripheral blood capture dimensional measures of emotional and behavioral problems from the Child Behavior Checklist (CBCL)Jonathan L Hess, Nicholas H Nguyen, Jesse Suben, et al.
American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics|November 19, 2016
Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined-samples mega-analysisDaniel S Tylee, Jonathan L Hess, Thomas P Quinn, et al.
American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics|December 16, 2024
Meta-Analysis of Transcriptomic Studies of Blood and Six Brain Regions Identifies a Consensus of 15 Cross-Tissue Mechanisms in Alzheimer's Disease and Suggests an Origin of Cross-Study HeterogeneityJiahui Hou, Jonathan L Hess, Chunling Zhang, et al.
Schizophrenia Research|July 25, 2016
Transcriptome-wide mega-analyses reveal joint dysregulation of immunologic genes and transcription regulators in brain and blood in schizophreniaJonathan L Hess, Daniel S Tylee, Rahul Barve, et al.
Schizophrenia Research|August 9, 2019
Transcriptomic abnormalities in peripheral blood in bipolar disorder, and discrimination of the major psychosesJonathan L Hess, Daniel S Tylee, Rahul Barve, et al.
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|September 20, 2017
PTSD Blood Transcriptome Mega-Analysis: Shared Inflammatory Pathways across Biological Sex and Modes of TraumaMichael S Breen, Daniel S Tylee, Adam X Maihofer, et al.
Molecular Psychiatry|January 18, 2021
Structural brain imaging studies offer clues about the effects of the shared genetic etiology among neuropsychiatric disordersNevena V Radonjić, Jonathan L Hess, Paula Rovira, et al.
Molecular Psychiatry|September 8, 2019
A polygenic resilience score moderates the genetic risk for schizophreniaJonathan L Hess, Daniel S Tylee, Manuel Mattheisen, et al.
Molecular Psychiatry|January 4, 2024
A primer on the use of machine learning to distil knowledge from data in biological psychiatryThomas P Quinn, Jonathan L Hess, Victoria S Marshe, et al.
American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics|October 17, 2018
Genetic correlations among psychiatric and immune-related phenotypes based on genome-wide association dataDaniel S Tylee, Jiayin Sun, Jonathan L Hess, et al.
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