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Genotype-dependent associations between serotonin transporter gene (SLC6A4) DNA methylation and late-life depression

Overview of attention for article published in BMC Psychiatry, September 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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3 X users
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1 Facebook page
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1 Wikipedia page

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97 Mendeley
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Title
Genotype-dependent associations between serotonin transporter gene (SLC6A4) DNA methylation and late-life depression
Published in
BMC Psychiatry, September 2018
DOI 10.1186/s12888-018-1850-4
Pubmed ID
Authors

Dilys Lam, Marie-Laure Ancelin, Karen Ritchie, Rosanne Freak-Poli, Richard Saffery, Joanne Ryan

Abstract

Disrupted serotonergic signaling is often a feature of depression and the role of the serotonin transporter gene (SLC6A4), responsible for serotonin re-uptake, has received much attention in this regard. Most studies have focused on the polymorphic 5-HTTLPR upstream repeat, or DNA methylation at the promoter CpG island. Few studies have explored the influence of genetic variation across the gene on DNA methylation, and their combined association with depression risk. The aim of this study was to determine whether genetic variation in the SLC6A4 gene influences promoter DNA methylation, and whether these are associated with depression status. The ESPRIT study involves a community-based population of older individuals (> 65 years of age). Major depressive disorder (MDD) was diagnosed according to DSM-IV (American Psychiatric Association, 1994) criteria, and severe depressive symptoms assessed by the Centre for Epidemiological Studies Depression (CES-D) Scale. Sequenom MassARRAY was used to measure SLC6A4 methylation status (n = 302). Nominally significant associations were observed between SLC6A4 genetic variants (5-HTTLPR, rs140700, rs4251417, rs6354, rs25528, rs25531) and DNA methylation at several CpG sites. In multivariate regression, DNA methylation was associated with depression status, but only in the presence of specific genotypes. In individuals homozygous for the short 5-HTTLPR and 5-HTTLPR/r25531 alleles, lower methylation at two CpGs was associated with depression (β = - 0.44 to β = - 0.31; p = 0.001 to p = 0.038). We present evidence for genotype-dependent associations between SLC6A4 methylation and depression. Genetic variants may also play a role in influencing promoter methylation levels and its association with depression.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 20%
Student > Master 16 16%
Student > Doctoral Student 8 8%
Other 6 6%
Researcher 5 5%
Other 10 10%
Unknown 33 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 15%
Psychology 14 14%
Medicine and Dentistry 8 8%
Neuroscience 7 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 12 12%
Unknown 37 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 June 2022.
All research outputs
#4,857,240
of 23,543,207 outputs
Outputs from BMC Psychiatry
#1,857
of 4,877 outputs
Outputs of similar age
#92,575
of 336,466 outputs
Outputs of similar age from BMC Psychiatry
#62
of 106 outputs
Altmetric has tracked 23,543,207 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,877 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 61% 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 336,466 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 72% of its contemporaries.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.