Jonathan Hess
Memphis
As seen in:
Color Research & Application,
Nature,
BMC Genomics,
Respiratory Research,
BioRxiv,
medRxiv
Articles by Jonathan Hess
A novel method to disentangle tightly linked risk and resilience genes for brain disorders: application to Alzheimer’s disease
Abstract Genetic risk factors for neuropsychiatric disorders are well documented. However, some individuals with high genetic risk remain unaffected, and the mechanisms underlying such resilience remain poorly understood. The presence of protective resilience factors that mitigate risk could help explain the disconnect between predicted risk and reality, particularly when genetic contributions are substantial but incompletely understood.
Using genomic context informed genotype data and within-model ancestry adjustment to classify type 2 diabetes - Communications Medicine
Abstract Despite high heritability estimates, complex genetic disorders have proven difficult to predict with genetic data. Genomic research has documented polygenic inheritance, cross-disorder genetic correlations, and enrichment of risk by functional genomic annotation, but the vast potential of that combined knowledge has not yet been leveraged to build optimal risk models.
Genetic resilience to chronic obstructive pulmonary disease is a clinically distinct subtype in individuals with cigarette smoke exposure - Respiratory Research
The COPDGene Study includes 10,198 current and former individuals that smoke. We identified 144 individuals who met the definition of genetic resilience, 362 genetic risk-matched individuals with COPD, and 420 individuals who met the definition of clinical resilience (Table 1). We excluded 24 individuals who met the definition of both genetic and clinical resilience.
LungGENIE: the lung gene-expression and network imputation engine - BMC Genomics
We used paired blood and lung RNAseq data from 347 individuals from GTEx to train LungGENIE. We identified 19,304 genes that were significantly predicted by LungGENIE (R2 ≥ 0.01 and false-discovery rate adjusted p-value < 0.05). The mean cross-validation imputation accuracy for significantly imputed genes was Pearson’s r = 0.25, with an interquartile range of 0.19 to 0.32.
Polygenic Resilience Scores are Associated with Lower Penetrance of Schizophrenia Risk Genes, Protection Against Psychiatric and Medical Disorders, and Enhanced Mental Well-Being and Cognition
The authors have declared no competing interest. This study received funding from the Brain & Behavior Research Foundation, the U.S. National Institute of Mental Health (NIMH), National Institute on Aging (NIA), and National Institute of Neurological Disorders and Stroke (NINDS). I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
Genetic and environmental contributions to eigengene expression
Abstract Multivariate network-based analytic methods such as weighted gene co-expression network analysis are being increasingly applied to human and animal gene-expression data to estimate module eigengenes (MEs). MEs represent multivariate summaries of correlated gene-expression patterns and network connectivity across genes within a module.
BrainGENIE: The Brain Gene Expression and Network Imputation Engine - Translational Psychiatry
Abstract In vivo experimental analysis of human brain tissue poses substantial challenges and ethical concerns. To address this problem, we developed a computational method called the Brain Gene Expression and Network-Imputation Engine (BrainGENIE) that leverages peripheral-blood transcriptomes to predict brain tissue-specific gene-expression levels.
Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease
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BrainGENIE: The Brain Gene Expression and Network Imputation Engine
Abstract In vivo experimental analysis of human brain tissue poses substantial challenges and ethical concerns. We developed a novel method called the Brain Gene Expression and Network Imputation Engine (BrainGENIE) that uses peripheral-blood transcriptomes to predict brain-tissue-specific gene-expression levels.
Genetic correlations among psychiatric and immune‐related phenotypes based on genome‐wide association data
Individuals with psychiatric disorders have elevated rates of autoimmune comorbidity and altered immune signaling. It is unclear whether these altered immunological states have a shared genetic basis with those psychiatric disorders. The present study sought to use existing summary‐level data from previous genome‐wide association studies to determine if commonly varying single nucleotide polymorphisms are shared between psychiatric and immune‐related phenotypes.
Johann David Michaelis and the Colonial Imaginary: Orientalism and the Emergence of Racial Antisemitism in Eighteenth-Century Germany
Jewish Social Studies 6.2 (2000) 56-101 [Access article in PDF] Johann David Michaelis and the Colonial Imaginary: Orientalism and the Emergence of Racial Antisemitism in Eighteenth-Century Germany * When the term "antisemitism" was first introduced in Germany in the late 1870s, those who used it did so in order to stress the radical difference between their own "antisemitism" and earlier forms of antagonism toward Jews and Judaism.
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