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Gene Expression Analysis in Three Posttraumatic Stress Disorder Cohorts Implicates Inflammation and Innate Immunity Pathways and Uncovers Shared Genetic Risk With Major Depressive Disorder

Overview of attention for article published in Frontiers in Neuroscience, July 2021
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Title
Gene Expression Analysis in Three Posttraumatic Stress Disorder Cohorts Implicates Inflammation and Innate Immunity Pathways and Uncovers Shared Genetic Risk With Major Depressive Disorder
Published in
Frontiers in Neuroscience, July 2021
DOI 10.3389/fnins.2021.678548
Pubmed ID
Authors

Melanie E. Garrett, Xue Jun Qin, Divya Mehta, Michelle F. Dennis, Christine E. Marx, Gerald A. Grant, VA Mid-Atlantic MIRECC Workgroup, PTSD Initiative, Injury and Traumatic Stress Clinical Consortium, Psychiatric Genomics Consortium PTSD Group, Murray B. Stein, Nathan A. Kimbrel, Jean C. Beckham, Michael A. Hauser, Allison E. Ashley-Koch, Mira Brancu, Patrick S. Calhoun, Eric Dedert, Eric B. Elbogen, John A. Fairbank, Robin A. Hurley, Jason D. Kilts, Angela Kirby, Sara Martindale, Scott D. McDonald, Scott D. Moore, Rajendra A. Morey, Jennifer C. Naylor, Jared Rowland, Robert Shura, Cindy Swinkels, Steven T. Szabo, Katherine H. Taber, Larry A. Tupler, Ruth E. Yoash-Gantz, Sarah McLeay, Wendy Harvey, Madeline Romaniuk, Darrell Crawford, David Colquhoun, Ross McD Young, Miriam Dwyer, John Gibson, Robyn O’Sullivan, Graham Cooksley, Christopher Strakosch, Rachel Thomson, Joanne Voisey, Bruce Lawford

Abstract

Posttraumatic stress disorder (PTSD) is a complex psychiatric disorder that can develop following exposure to traumatic events. The Psychiatric Genomics Consortium PTSD group (PGC-PTSD) has collected over 20,000 multi-ethnic PTSD cases and controls and has identified both genetic and epigenetic factors associated with PTSD risk. To further investigate biological correlates of PTSD risk, we examined three PGC-PTSD cohorts comprising 977 subjects to identify differentially expressed genes among PTSD cases and controls. Whole blood gene expression was quantified with the HumanHT-12 v4 Expression BeadChip for 726 OEF/OIF veterans from the Veterans Affairs (VA) Mental Illness Research Education and Clinical Center (MIRECC), 155 samples from the Injury and Traumatic Stress (INTRuST) Clinical Consortium, and 96 Australian Vietnam War veterans. Differential gene expression analysis was performed in each cohort separately followed by meta-analysis. In the largest cohort, we performed co-expression analysis to identify modules of genes that are associated with PTSD and MDD. We then conducted expression quantitative trait loci (eQTL) analysis and assessed the presence of eQTL interactions involving PTSD and major depressive disorder (MDD). Finally, we utilized PTSD and MDD GWAS summary statistics to identify regions that colocalize with eQTLs. Although not surpassing correction for multiple testing, the most differentially expressed genes in meta-analysis were interleukin-1 beta (IL1B), a pro-inflammatory cytokine previously associated with PTSD, and integrin-linked kinase (ILK), which is highly expressed in brain and can rescue dysregulated hippocampal neurogenesis and memory deficits. Pathway analysis revealed enrichment of toll-like receptor (TLR) and interleukin-1 receptor genes, which are integral to cellular innate immune response. Co-expression analysis identified four modules of genes associated with PTSD, two of which are also associated with MDD, demonstrating common biological pathways underlying the two conditions. Lastly, we identified four genes (UBA7, HLA-F, HSPA1B, and RERE) with high probability of a shared causal eQTL variant with PTSD and/or MDD GWAS variants, thereby providing a potential mechanism by which the GWAS variant contributes to disease risk. In summary, we provide additional evidence for genes and pathways previously reported and identified plausible novel candidates for PTSD. These data provide further insight into genetic factors and pathways involved in PTSD, as well as potential regions of pleiotropy between PTSD and MDD.

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Student > Bachelor 6 13%
Other 5 11%
Student > Doctoral Student 3 6%
Professor 3 6%
Other 6 13%
Unknown 17 36%
Readers by discipline Count As %
Medicine and Dentistry 8 17%
Psychology 8 17%
Neuroscience 7 15%
Biochemistry, Genetics and Molecular Biology 4 9%
Nursing and Health Professions 1 2%
Other 2 4%
Unknown 17 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 July 2022.
All research outputs
#7,361,749
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#4,802
of 11,543 outputs
Outputs of similar age
#144,781
of 441,109 outputs
Outputs of similar age from Frontiers in Neuroscience
#129
of 417 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 57% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 441,109 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 417 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.