JAMA Psychiatry
Original Investigation
November 1, 2021
Olga Giannakopoulou, PhD; Kuang Lin, PhD; Xiangrui Meng, PhD; Mei-Hsin Su, PhD; Po-Hsiu Kuo, PhD; Roseann E. Peterson, MD; Swapnil Awasthi, MSc; Arden Moscati, MSc; Jonathan R. I. Coleman, PhD; Nick Bass, MD; Iona Y. Millwood, DPhil; Yiping Chen, DPhil; Zhengming Chen, DPhil; Hsi-Chung Chen, MD, PhD; Mong-Liang Lu, MD, MS; Ming-Chyi Huang, MD, PhD; Chun-Hsin Chen, MD, PhD; Eli A. Stahl, PhD; Ruth J. F. Loos, PhD; Niamh Mullins, PhD; Robert J. Ursano, MD; Ronald C. Kessler, MD; Murray B. Stein, MD, MPH; Srijan Sen, MD, PhD; Laura J. Scott, PhD; Margit Burmeister , PhD; Yu Fang, MSE; Jess Tyrrell, PhD; Yunxuan Jiang, PhD; Chao Tian, PhD; Andrew M. McIntosh, PhD; Stephan Ripke, MD; Erin C. Dunn, ScD, MPH; Kenneth S. Kendler, MD; Robin G. Walters, PhD; Cathryn M. Lewis, PhD; Karoline Kuchenbaecker, PhD; 23andMe Research Team, China Kadoorie Biobank Collaborative Group, and Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
open access
JAMA Psychiatry. 2021; 78(11):1258-1269. doi: 10.1001/jamapsychiatry.2021.2099
This genetic association study investigates the genetics of depression across multiple data sets of individuals of East Asian and European descent living in different countries and within different nongenetic cultural contexts.
JAMA Network Open
Research Letter
Psychiatry
June 1, 2020
Weidong Li, MD, PhD; Elena Frank, PhD; Zhuo Zhao, MS; Lihong Chen, PhD; Zhen Wang, MD; Margit Burmeister , PhD; Srijan Sen, MD, PhD
open access
is active quiz
JAMA Netw Open. 2020; 3(6):e2010705. doi: 10.1001/jamanetworkopen.2020.10705
This cohort study assesses anxiety, depression, mood, and fear of workplace violence in a cohort of young physicians in China before and during the coronavirus disease 2019 outbreak.
JAMA Psychiatry
Meta-analysis
May 2, 2011
Katja Karg, BSc; Margit Burmeister , PhD; Kerby Shedden, PhD; Srijan Sen, MD, PhD
free access
Arch Gen Psychiatry. 2011; 68(5):444-454. doi: 10.1001/archgenpsychiatry.2010.189
Context Two recent meta-analyses assessed the set of studies exploring the interaction between a serotonin transporter promoter polymorphism (5-HTTLPR) and stress in the development of depression and concluded that the evidence did not support the presence of the interaction. However, even the larger of the meta-analyses included only 14 of the 56 studies that have assessed the relationship between 5-HTTLPR, stress, and depression.
Objective To perform a meta-analysis including all relevant studies exploring the interaction.
Data Sources We identified studies published through November 2009 in PubMed.
Study Selection We excluded 2 studies presenting data that were included in other larger studies.
Data Extraction To perform a more inclusive meta-analysis, we used the Liptak-Stouffer z score method to combine findings of primary studies at the level of significance tests rather than the level of raw data.
Data Synthesis We included 54 studies and found strong evidence that 5-HTTLPR moderates the relationship between stress and depression, with the 5-HTTLPR s allele associated with an increased risk of developing depression under stress (P = .00002). When stratifying our analysis by the type of stressor studied, we found strong evidence for an association between the s allele and increased stress sensitivity in the childhood maltreatment (P = .00007) and the specific medical condition (P = .0004) groups of studies but only marginal evidence for an association in the stressful life events group (P = .03). When restricting our analysis to the studies included in the previous meta-analyses, we found no evidence of association (Munafò et al studies, P = .16; Risch et al studies, P = .11). This suggests that the difference in results between meta-analyses was due to the different set of included studies rather than the meta-analytic technique.
Conclusion Contrary to the results of the smaller earlier meta-analyses, we find strong evidence that the studies published to date support the hypothesis that 5-HTTLPR moderates the relationship between stress and depression.