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Serotonin Transporter Gene as a Predictor of Stress Generation in Depression

Overview of attention for article published in Journal of Psychopathology and Clinical Science, November 2012
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Title
Serotonin Transporter Gene as a Predictor of Stress Generation in Depression
Published in
Journal of Psychopathology and Clinical Science, November 2012
DOI 10.1037/a0027952
Pubmed ID
Authors

Lisa R. Starr, Constance Hammen, Patricia A. Brennan, Jake M. Najman

Abstract

Research suggests that a polymorphism in the promoter region of the serotonin transporter promoter (5-HTTLPR) interacts with stressful life events to predict depressive onset, with short (s) allele presence associated with greater susceptibility to stressors. However, this research has not considered that depressed individuals often actively generate stressful contexts. Furthermore, little is known about the genetic basis of stress generation. The current study explored the role of 5-HTTLPR genotype in stress generation in a longitudinal sample of 381 adolescents, oversampled for maternal depression, assessed at ages 15 and 20. Genotype did not correlate directly with number or ratings of stressful life events. However, 5-HTTLPR genotype interacted with depression at age 15 to predict dependent stressful events at age 20. Specifically, participants with one or more s alleles showed a stronger association between age 15 depression and age 20 dependent and interpersonal events than long allele homozygotes. Results imply that the 5-HTTLPR genotype predicts reciprocal associations between stress and depression, indicating a more complex relationship between stress, depression, and their genetic underpinnings than previously suggested.

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Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Unknown 82 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 15%
Student > Bachelor 12 14%
Student > Doctoral Student 10 12%
Researcher 8 10%
Student > Postgraduate 7 8%
Other 16 19%
Unknown 18 21%
Readers by discipline Count As %
Psychology 42 50%
Medicine and Dentistry 7 8%
Social Sciences 5 6%
Neuroscience 2 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 4 5%
Unknown 22 26%