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Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression

Overview of attention for article published in Molecular Psychiatry, April 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 4,644)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
14 news outlets
blogs
6 blogs
twitter
971 X users
facebook
10 Facebook pages
wikipedia
9 Wikipedia pages
reddit
1 Redditor

Citations

dimensions_citation
274 Dimensions

Readers on

mendeley
554 Mendeley
citeulike
2 CiteULike
Title
Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression
Published in
Molecular Psychiatry, April 2017
DOI 10.1038/mp.2017.44
Pubmed ID
Authors

R C Culverhouse, N L Saccone, A C Horton, Y Ma, K J Anstey, T Banaschewski, M Burmeister, S Cohen-Woods, B Etain, H L Fisher, N Goldman, S Guillaume, J Horwood, G Juhasz, K J Lester, L Mandelli, C M Middeldorp, E Olié, S Villafuerte, T M Air, R Araya, L Bowes, R Burns, E M Byrne, C Coffey, W L Coventry, K A B Gawronski, D Glei, A Hatzimanolis, J-J Hottenga, I Jaussent, C Jawahar, C Jennen-Steinmetz, J R Kramer, M Lajnef, K Little, H M zu Schwabedissen, M Nauck, E Nederhof, P Petschner, W J Peyrot, C Schwahn, G Sinnamon, D Stacey, Y Tian, C Toben, S Van der Auwera, N Wainwright, J-C Wang, G Willemsen, I M Anderson, V Arolt, C Åslund, G Bagdy, B T Baune, F Bellivier, D I Boomsma, P Courtet, U Dannlowski, E J C de Geus, J F W Deakin, S Easteal, T Eley, D M Fergusson, A M Goate, X Gonda, H J Grabe, C Holzman, E O Johnson, M Kennedy, M Laucht, N G Martin, M R Munafò, K W Nilsson, A J Oldehinkel, C A Olsson, J Ormel, C Otte, G C Patton, B W J H Penninx, K Ritchie, M Sarchiapone, J M Scheid, A Serretti, J H Smit, N C Stefanis, P G Surtees, H Völzke, M Weinstein, M Whooley, J I Nurnberger Jr, N Breslau, L J Bierut

Abstract

The hypothesis that the S allele of the 5-HTTLPR serotonin transporter promoter region is associated with increased risk of depression, but only in individuals exposed to stressful situations, has generated much interest, research and controversy since first proposed in 2003. Multiple meta-analyses combining results from heterogeneous analyses have not settled the issue. To determine the magnitude of the interaction and the conditions under which it might be observed, we performed new analyses on 31 data sets containing 38 802 European ancestry subjects genotyped for 5-HTTLPR and assessed for depression and childhood maltreatment or other stressful life events, and meta-analysed the results. Analyses targeted two stressors (narrow, broad) and two depression outcomes (current, lifetime). All groups that published on this topic prior to the initiation of our study and met the assessment and sample size criteria were invited to participate. Additional groups, identified by consortium members or self-identified in response to our protocol (published prior to the start of analysis) with qualifying unpublished data, were also invited to participate. A uniform data analysis script implementing the protocol was executed by each of the consortium members. Our findings do not support the interaction hypothesis. We found no subgroups or variable definitions for which an interaction between stress and 5-HTTLPR genotype was statistically significant. In contrast, our findings for the main effects of life stressors (strong risk factor) and 5-HTTLPR genotype (no impact on risk) are strikingly consistent across our contributing studies, the original study reporting the interaction and subsequent meta-analyses. Our conclusion is that if an interaction exists in which the S allele of 5-HTTLPR increases risk of depression only in stressed individuals, then it is not broadly generalisable, but must be of modest effect size and only observable in limited situations.Molecular Psychiatry advance online publication, 4 April 2017; doi:10.1038/mp.2017.44.

X Demographics

X Demographics

The data shown below were collected from the profiles of 971 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 554 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Malaysia 1 <1%
Germany 1 <1%
China 1 <1%
Japan 1 <1%
Unknown 548 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 14%
Student > Master 73 13%
Researcher 66 12%
Student > Bachelor 61 11%
Student > Doctoral Student 30 5%
Other 110 20%
Unknown 137 25%
Readers by discipline Count As %
Psychology 129 23%
Medicine and Dentistry 58 10%
Neuroscience 57 10%
Agricultural and Biological Sciences 31 6%
Biochemistry, Genetics and Molecular Biology 21 4%
Other 78 14%
Unknown 180 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 626. 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 16 March 2024.
All research outputs
#35,842
of 25,591,967 outputs
Outputs from Molecular Psychiatry
#29
of 4,644 outputs
Outputs of similar age
#695
of 324,409 outputs
Outputs of similar age from Molecular Psychiatry
#2
of 95 outputs
Altmetric has tracked 25,591,967 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,644 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done particularly well, scoring higher than 99% 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 324,409 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.