David Ashbrook

Dr. David Ashbrook

Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, Florida, USA
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 October 2024 in Nature Methods
Verified
Journal Article
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EGErik Garrison
Erik Garrison
AGAndrea Guarracino
Andrea Guarracino
SHSimon Heumos
Simon Heumos
FVFlavia Villani
Flavia Villani
ZBZhigui Bao
Zhigui Bao
PPPjotr Prins
Pjotr Prins

19 January 2021 in Cell Systems
Verified
Journal Article
Closed access
DADavid Ashbrook
David Ashbrook
Danny ArendsDanny Arends
Danny Arends
PPPjotr Prins
Pjotr Prins
MMMegan K. Mulligan
Megan K. Mulligan
SRSuheeta Roy
Suheeta Roy
RWRobert W. Williams
Robert W. Williams

6 April 2023 in bioRxiv
Verified
Preprint
Open access
PDF file
EGErik Garrison
Erik Garrison
AGAndrea Guarracino
Andrea Guarracino
SHSimon Heumos
Simon Heumos
FVFlavia Villani
Flavia Villani
ZBZhigui Bao
Zhigui Bao
PPPjotr Prins
Pjotr Prins
Pangenome graphs can represent all variation between multiple reference genomes, but current approaches to build them exclude complex sequences or are based upon a single reference. In response, we developed the PanGenome Graph Builder (PGGB), a pipeline for constructing pangenome graphs without bias or exclusion. PGGB uses all-to-all alignments to build a variation graph in which we can identify variation, measure conservation, detect recombination events, and infer phylogenetic relationships.

11 May 2022 in Nature
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Journal Article
Closed access
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TSThomas A. Sasani
Thomas A. Sasani
DADavid Ashbrook
David Ashbrook
ABAnnabel Beichman
Annabel Beichman
LLLu Lu
Lu Lu
APAbraham A Palmer
Abraham A Palmer
KHKelley Harris
Kelley Harris

3 October 2014 in BMC Genomics
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Journal Article
Open access
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DADavid Ashbrook
David Ashbrook
RWRobert W Williams
Robert W Williams
LLLu Lu
Lu Lu
JSJason L Stein
Jason L Stein
DHDerrek P Hibar
Derrek P Hibar
RHReinmar Hager
Reinmar Hager
Variation in hippocampal volume has been linked to significant differences in memory, behavior, and cognition among individuals. To identify genetic variants underlying such differences and associated disease phenotypes, multinational consortia such as ENIGMA have used large magnetic resonance imaging (MRI) data sets in human GWAS studies. In addition, mapping studies in mouse model systems have identified genetic variants for brain structure variation with great power. A key challenge is to understand how genetically based differences in brain structure lead to the propensity to develop specific neurological disorders. We combine the largest human GWAS of brain structure with the largest mammalian model system, the BXD recombinant inbred mouse population, to identify novel genetic targets influencing brain structure variation that are linked to increased risk for neurological disorders. We first use a novel cross-species, comparative analysis using mouse and human genetic data to identify a candidate gene, MGST3, associated with adult hippocampus size in both systems. We then establish the coregulation and function of this gene in a comprehensive systems-analysis. We find that MGST3 is associated with hippocampus size and is linked to a group of neurodegenerative disorders, such as Alzheimer’s.

17 March 2018 in Journal of Neuroinflammation
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Journal Article
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DADavid Ashbrook
David Ashbrook
BHBenjamin Hing
Benjamin Hing
LMLindsay T. Michalovicz
Lindsay T. Michalovicz
KKKimberly Kelly
Kimberly Kelly
JMJulie V. Miller
Julie V. Miller
PMPatrick O. McGowan
Patrick O. McGowan
Gulf War illness (GWI) is an archetypal, medically unexplained, chronic condition characterised by persistent sickness behaviour and neuroimmune and neuroinflammatory components. An estimated 25–32% of the over 900,000 veterans of the 1991 Gulf War fulfil the requirements of a GWI diagnosis. It has been hypothesised that the high physical and psychological stress of combat may have increased vulnerability to irreversible acetylcholinesterase (AChE) inhibitors leading to a priming of the neuroimmune system. A number of studies have linked high levels of psychophysiological stress and toxicant exposures to epigenetic modifications that regulate gene expression. Recent research in a mouse model of GWI has shown that pre-exposure with the stress hormone corticosterone (CORT) causes an increase in expression of specific chemokines and cytokines in response to diisopropyl fluorophosphate (DFP), a sarin surrogate and irreversible AChE inhibitor. C57BL/6J mice were exposed to CORT for 4 days, and exposed to DFP on day 5, before sacrifice 6 h later. The transcriptome was examined using RNA-seq, and the epigenome was examined using reduced representation bisulfite sequencing and H3K27ac ChIP-seq. We show transcriptional, histone modification (H3K27ac) and DNA methylation changes in genes related to the immune and neuronal system, potentially relevant to neuroinflammatory and cognitive symptoms of GWI. Further evidence suggests altered proportions of myelinating oligodendrocytes in the frontal cortex, perhaps connected to white matter deficits seen in GWI sufferers. Our findings may reflect the early changes which occurred in GWI veterans, and we observe alterations in several pathways altered in GWI sufferers. These close links to changes seen in veterans with GWI indicates that this model reflects the environmental exposures related to GWI and may provide a model for biomarker development and testing future treatments.