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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Influence of CRHR1 Polymorphisms and Childhood Abuse on Suicide Attempts in Affective Disorders: A GxE Approach
|
|---|---|
| Published in |
Frontiers in Psychiatry, April 2018
|
| DOI | 10.3389/fpsyt.2018.00165 |
| Pubmed ID | |
| Authors |
Birgit Ludwig, Klemens Kienesberger, Laura Carlberg, Patrick Swoboda, Alexandra Bernegger, Romina Koller, Qingzhong Wang, Michelle Inaner, Melanie Zotter, Nestor D. Kapusta, Helmuth Haslacher, Martin Aigner, Siegfried Kasper, Alexandra Schosser |
| Abstract |
Background: Previous studies have shown that the hypothalamus-pituitary-adrenal-axis (HPA-axis) is closely involved in the development of affective disorders. Given that early life events are also linked to dysregulation of the same system, there might be an association between childhood adversities and suicidal behavior in affective disorders, moderated by HPA-axis genes. We aimed to investigate a potential association between childhood trauma and previous suicide attempts in affective disorder patients, moderated by variants of the corticotropin-releasing hormone receptor 1 (CRHR1) gene. Methods: The current pilot study is part of an ongoing study on suicidal behavior in affective disorders (VieSAD). Two hundred fifty eight Caucasian affective disorder patients were assessed at the Department of Psychiatry and Psychotherapy of the Medical University Vienna and the Karl Landsteiner University for Health and Science. An assemblage of psychiatric interviews was performed (e.g., SCAN, HAMD, SBQ-R, CTQ) and DNA samples of peripheral blood cells were genotyped with TaqMan® SNP Genotyping Assays (rs7209436, rs4792887, rs110402, rs242924, and rs242939). Results: Neither genetic, nor haplotypic associations between CRHR1 polymorphisms and previous suicide attempts could be established for the present sample. Using a binary logistic regression model, significant gene-environment-interactions were found for the single nucleotide polymorphisms (SNPs) rs7209436 and rs110402, reflecting the impact of childhood trauma and CRHR1 polymorphisms on previous suicide attempts. Limitations: A larger sample size will be required to ultimately elucidate the link between childhood trauma and the HPA axis in suicidal behavior. Conclusion: This pilot study presents promising gene-environment-interaction findings in affective disorder patients with a history of suicide attempts. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 16% |
| Student > Bachelor | 5 | 8% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Student > Postgraduate | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 29 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 7 | 11% |
| Social Sciences | 6 | 10% |
| Medicine and Dentistry | 5 | 8% |
| Neuroscience | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 31 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 07 October 2019.
All research outputs
#1,943,921
of 23,043,346 outputs
Outputs from Frontiers in Psychiatry
#1,048
of 10,167 outputs
Outputs of similar age
#43,850
of 326,639 outputs
Outputs of similar age from Frontiers in Psychiatry
#39
of 174 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 89% 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 326,639 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.