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. 2018 Oct 2;9:423. doi: 10.3389/fgene.2018.00423

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Copyright © 2018 Brummett, Babyak, Singh, Hauser, Jiang, Huffman, Kraus, Shah, Siegler and Williams.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Forest plot showing the unstandardized coefficient for the interaction between Ser/Ser vs. Cys/Cys and the stress measure for each study for the depressive symptom and BMI outcomes for females (A) and males (B). Cochrane’s Q test for between-study heterogeneity was statistically significant only for White males and Black males on the depressive symptom outcome. Coefficients were generated for each study separately using a general linear model. Results were consistent with tests of a SNP by stress by study interaction term in a random intercepts model. In the study-by-study analysis, data were too sparse in the STRRIDE AT/RT dataset to estimate the SNP by stress interaction and thus not included in the heterogeneity analysis.