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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Discovery and replication of a peripheral tissue DNA methylation biosignature to augment a suicide prediction model
|
|---|---|
| Published in |
Clinical Epigenetics, November 2016
|
| DOI | 10.1186/s13148-016-0279-1 |
| Pubmed ID | |
| Authors |
Makena L. Clive, Marco P. Boks, Christiaan H. Vinkers, Lauren M. Osborne, Jennifer L. Payne, Kerry J. Ressler, Alicia K. Smith, Holly C. Wilcox, Zachary Kaminsky |
| Abstract |
Suicide is the second leading cause of death among adolescents in the USA, and rates are rising. Methods to identify individuals at risk are essential for implementing prevention strategies, and the development of a biomarker can potentially improve prediction of suicidal behaviors. Prediction of our previously reported SKA2 biomarker for suicide and PTSD is substantially improved by questionnaires assessing perceived stress or anxiety and is therefore reliant on psychological assessment. However, such stress-related states may also leave a biosignature that could equally improve suicide prediction. In genome-wide DNA methylation data, we observed significant overlap between waking cortisol-associated and suicide-associated DNA methylation in blood and the brain, respectively. Using a custom bioinformatic brain to blood discovery algorithm, we derived a DNA methylation biosignature that interacts with SKA2 methylation to improve the prediction of suicidal ideation in our existing suicide prediction model across both blood and saliva data sets. This biosignature was independently validated in the Grady Trauma Project cohort and interacted with HPA axis metrics in the same cohort. The biosignature showed a relationship with immune status by its correlation with myeloid-derived cell proportions in all data sets and with IL-6 measures in a prospective postpartum depression cohort. Three probes showed significant correlations with the biosignature: cg08469255 (DDR1), cg22029879 (ARHGEF10), and cg24437859 (SHP1), of which SHP1 methylation correlated with immune measures. We conclude that this biosignature interacts with SKA2 methylation to improve suicide prediction and may represent a biological state of immune and HPA axis modulation that mediates suicidal behavior. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | <1% |
| Unknown | 170 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 12% |
| Student > Bachelor | 17 | 10% |
| Researcher | 16 | 9% |
| Other | 13 | 8% |
| Student > Master | 13 | 8% |
| Other | 30 | 18% |
| Unknown | 61 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 28 | 16% |
| Medicine and Dentistry | 16 | 9% |
| Neuroscience | 13 | 8% |
| Biochemistry, Genetics and Molecular Biology | 11 | 6% |
| Nursing and Health Professions | 8 | 5% |
| Other | 24 | 14% |
| Unknown | 71 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 December 2016.
All research outputs
#13,996,981
of 22,899,952 outputs
Outputs from Clinical Epigenetics
#709
of 1,260 outputs
Outputs of similar age
#171,322
of 311,569 outputs
Outputs of similar age from Clinical Epigenetics
#14
of 26 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,260 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 311,569 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.