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CORRECTION article
Front. Psychiatry , 04 August 2022
Sec. Sleep Disorders
Volume 13 - 2022 | https://doi.org/10.3389/fpsyt.2022.893816
This article is a correction to:
Potential Genetic Overlap Between Insomnia and Sleep Symptoms in Major Depressive Disorder: A Polygenic Risk Score Analysis
A corrigendum on
Potential genetic overlap between insomnia and sleep symptoms in major depressive disorder: A polygenic risk score analysis
by Melhuish Beaupre, L. M., Tiwari, A. K., Gonçalves, V. F., Zai, C. C., Marshe, V. S., Lewis, C. M., Martin, N. G., McIntosh, A. M., Adams, M. J., Baune, B. T., Levinson, D. F., Boomsma, D. I., Penninx, B. W. J. H., Breen, G., Hamilton, S., Awasthi, S., Ripke, S., Jones, L., Jones, I., Byrne, E. M., Hickie, I. B., Potash, J. P., Shi, J., Weissman, M. M., Milaneschi, Y., Shyn, S. I., Geus, E. J. C. d., Willemsen, G., Brown, G. M., Kennedy, J. L., and Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (2021). Front. Psychiatry 12:734077. doi: 10.3389/fpsyt.2021.734077
In the original article, there was an error. The prevalence of hypersomnia in females and males was reversed, such that the prevalence of hypersomnia was reported as the prevalence of no hypersomnia for both sexes.
A correction has been made to Results, paragraph one:
“N = 4,583 (68%) of individuals were female in the insomnia sample and N = 4,358 (68%) in the hypersomnia sample. Of the females, 77.3% of reported insomnia while 22.7% do not; 68.1% of females reported hypersomnia while 31.9% did not. In males, 79% reported insomnia while 21% did not; 75% reported hypersomnia while 25% did not” has been corrected to “N = 4,583 (68%) of individuals were female in the insomnia sample and N = 4,358 (68%) in the hypersomnia sample. Of the females, 77.3% reported insomnia while 22.7% did not; 31.9% of females reported hypersomnia while 68.1% did not. In males, 79% reported insomnia while 21% did not; 25% reported hypersomnia while 75% did not.”
A correction has been made to Discussion, paragraph two:
“First, we found that the prevalence rates for insomnia are representative of the prevalence rates from other reports (8, 40). The prevalence of hypersomnia in our sample is slightly higher than others have reported (8, 40). Interestingly, the prevalence of insomnia between sexes was similar, but the prevalence of hypersomnia in males was 7% higher than in females. The direction of our hypersomnia results is in accordance with prior literature, which suggests depressed males are more likely to experience hypersomnia than depressed females. However, the study also suggests a more significant difference than observed in our results (41). However, their sample was significantly smaller (N < 500, which may explain the difference in prevalence rates)” has been corrected to “First, we found that the prevalence rates for insomnia were representative of the prevalence rates from other reports (8, 40). The prevalence of hypersomnia in our sample was slightly higher than others have reported (8, 40). Interestingly, the prevalence of insomnia between sexes was similar, but the prevalence of hypersomnia in females was 7% higher than in males. Our results are opposite to prior literature, that suggested depressed males are more likely to experience hypersomnia than depressed females (41). However, their sample was significantly smaller (N < 500), which may explain the difference in prevalence rates.”
In the original article, there were mistakes in the labelling of Supplementary Tables 1, 2 as published. Their labelling was reversed, such that Supplementary Table 1 was referred to as if it were Supplementary Table 2, and vice versa. The Supplementary Material labelling has been corrected.
In the original article, there was a mistake in the reference order for the citations included in Table 1. Twelve references [i.e., (20–32)] were incorrect. References 20–32 have been corrected and subsequently the full reference list and citations have been updated.
The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
20. Baune BT, Air T. Clinical, functional, and biological correlates of cognitive dimensions in major depressive disorder - rationale, design, and characteristics of the cognitive function and mood study (CoFaM-Study). Front Psychiatry. (2016) 7:150. doi: 10.3389/fpsyt.2016.00150
21. Williams JBW. A structured interview guide for the hamilton depression rating scale. Arch Gen Psychiatry. (1988) 45:742–7. doi: 10.1001/archpsyc.1988.01800320058007
22. Shi J, Potash JB, Knowles JA, Weissman MM, Coryell W, Scheftner WA, et al. Genome-wide association study of recurrent early-onset major depressive disorder. Mol Psychiatry. (2011) 16:193–201. doi: 10.1038/mp.2009.124
23. Penninx BWJH, Beekman ATF, Smit JH, Zitman FG, Nolen WA, Spinhoven P, et al. The Netherlands Study of Depression and Anxiety (NESDA): rationale, objectives and methods. Int J Methods Psychiatr Res. (2008) 17:121–40. doi: 10.1002/mpr
24. Penninx BWJH, Eikelenboom M, Giltay EJ, van Hemert AM, Riese H, Schoevers RA, et al. Cohort profile of the longitudinal netherlands study of depression and anxiety (NESDA) on etiology, course and consequences of depressive and anxiety disorders. J Affect Disord. (2021) 287:69–77. doi: 10.1016/j.jad.2021.03.026
25. Willemsen G, Vink JM, Abdellaoui A, den Braber A, van Beek JHDA, Draisma HHM, et al. The Adult Netherlands Twin Register: twenty-five years of survey and biological data collection. Twin Res Hum Genet. (2013) 16:271–81. doi: 10.1017/thg.2012.140
26. The World Health Organization. Composite International Diagnostic Interview, Core Version 2.1: Interviewer's Manual. Geneva: World Health Organization (1997).
27. Wray NR, Pergadia ML, Blackwood DHR, Penninx BWJH, Gordon SD, Nyholt DR, et al. Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned. Mol Psychiatry. (2012) 17:36–48. doi: 10.1038/mp.2010.109
28. Lewis CM, Ng MY, Butler AW, Cohen-Woods S, Uher R, Pirlo K, et al. Genome-wide association study of major recurrent depression in the U.K. population. Am J Psychiatry. (2010) 167:949–57. doi: 10.1176/appi.ajp.2010.09091380
29. Wing JK, Babor T, Brugha T, Burke J, Cooper JE, Giel R, et al. SCAN Schedules for clinical assessment in neuropsychiatry. Arch Gen Psychiatry. (1990) 47:589–93.
30. Shyn SI, Shi J, Kraft JB, Potash JB, Knowles JA, Weissman MM, et al. Novel loci for major depression identified by genome-wide association study of sequenced treatment alternatives to relieve depression and meta-analysis of three studies. Mol Psychiatry. (2011) 16:202–15. doi: 10.1038/mp.2009.125
31. Trivedi MH, Rush AJ, Ibrahim HM, Carmody TJ, Biggs MM, Suppes T, et al. The inventory of depressive symptomatology, clinician rating (IDS-C) and self-report (IDS-SR), and the quick inventory depressive symptomatology, clinician rating (QIDS-C) and self-report (QIDS-SR) in public sector patients with mood disorders: A psychome. Psychol Med. (2004) 34:73–82. doi: 10.1017/S0033291703001107
Keywords: sleep, major depressive disorder, insomnia, hypersomnia, polygenic risk
Citation: Melhuish Beaupre LM, Tiwari AK, Gonçalves VF, Zai CC, Marshe VS, Lewis CM, Martin NG, McIntosh AM, Adams MJ, Baune BT, Levinson DF, Boomsma DI, Penninx BWJH, Breen G, Hamilton S, Awasthi S, Ripke S, Jones L, Jones I, Byrne EM, Hickie IB, Potash JP, Shi J, Weissman MM, Milaneschi Y, Shyn SI, Geus EJCd, Willemsen G, Brown GM, Kennedy JL and Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (2022) Corrigendum: Potential genetic overlap between insomnia and sleep symptoms in major depressive disorder: A polygenic risk score analysis. Front. Psychiatry 13:893816. doi: 10.3389/fpsyt.2022.893816
Received: 10 March 2022; Accepted: 28 June 2022;
Published: 04 August 2022.
Edited and reviewed by: Mehmet Y. Agargün, Yuzuncu Yil University, Turkey
Copyright © 2022 Melhuish Beaupre, Tiwari, Gonçalves, Zai, Marshe, Lewis, Martin, McIntosh, Adams, Baune, Levinson, Boomsma, Penninx, Breen, Hamilton, Awasthi, Ripke, Jones, Jones, Byrne, Hickie, Potash, Shi, Weissman, Milaneschi, Shyn, Geus, Willemsen, Brown, Kennedy and Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium. 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.
*Correspondence: James L. Kennedy, amltLmtlbm5lZHlAY2FtaC5jYQ==
†Full list of Consortium members are present in the Supplementary Material
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