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Jonathan Hess on Muck Rack

Jonathan Hess

Memphis
As seen in: Color Research & Application, Nature, BMC Genomics, Respiratory Research, BioRxiv, medRxiv

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Articles

Using genomic context informed genotype data and within-model ancestry adjustment to classify type 2 diabetes - Communications Medicine

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By Yanli Zhang-James, Jonathan Hess
| Nature Verified
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.
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Genetic resilience to chronic obstructive pulmonary disease is a clinically distinct subtype in individuals with cigarette smoke exposure - Respiratory Research

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By Auyon J Ghosh, Matthew Moll, Jonathan Hess, Liam P Coyne, Sanchit Panda, Michael Cho, Russell Bowler, Stephen J Glatt, Craig P. Hersh, Ko-Yun Chang
| Respiratory Research Verified
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.
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LungGENIE: the lung gene-expression and network imputation engine - BMC Genomics

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By Auyon J Ghosh, Liam P Coyne, Aravind A. Menon, Matthew Moll, Michael Archer, Jason M. Wallen, Frank Middleton, Craig P. Hersh, Stephen J Glatt, Jonathan Hess, Sanchit Panda
| 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.
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