Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Tytuł pozycji:

Polygenic prediction of the risk of perinatal depressive symptoms.

Tytuł:
Polygenic prediction of the risk of perinatal depressive symptoms.
Autorzy:
Rantalainen V; Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Binder EB; Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany.
Lahti-Pulkkinen M; Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.; Pulic Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland.; University/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom.
Czamara D; Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany.
Laivuori H; Department of Obstetrics and Gynecology, EBCOG Faculty of Medicine and Health Technology, Tampere University Hospital and Tampere University, Tampere, Finland.; Department of Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.; Institute for Molecular Medicine, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.
Villa PM; Department of Obstetrics and Gynaecology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Girchenko P; Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Kvist T; Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Hämäläinen E; Department of Clinical Chemistry, University of Eastern Finland, Kuopio, Finland.
Kajantie E; Pulic Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland.
Lahti J; Department of Psychology and Logopedics, Faculty of Medicine, Helsinki, Finland.
Räikkönen K; Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Źródło:
Depression and anxiety [Depress Anxiety] 2020 Sep; Vol. 37 (9), pp. 862-875. Date of Electronic Publication: 2020 Jul 05.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
Język:
English
Imprint Name(s):
Original Publication: New York, NY : Wiley, c1997-
MeSH Terms:
Bipolar Disorder*/epidemiology
Bipolar Disorder*/genetics
Depression, Postpartum*/epidemiology
Depression, Postpartum*/genetics
Depressive Disorder, Major*/epidemiology
Depressive Disorder, Major*/genetics
Pregnancy Complications*/epidemiology
Pregnancy Complications*/genetics
Child ; Depression ; Female ; Humans ; Multifactorial Inheritance/genetics ; Pregnancy ; Prospective Studies ; Risk Factors
References:
Bansil, P., Kuklina, E. V., Meikle, S. F., Posner, S. F., Kourtis, A. P., Ellington, S. R., & Jamieson, D. J. (2009). Maternal and fetal outcomes among women with depression. Journal of Women's Health, 19(2), 329-337.
Baron, R. M., & Kenny, D. A. (1986). Moderator-mediator variables distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-82.
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B (Methodological), 57, 289-300.
Border, R., Johnson, E. C., Evans, L. M., Smolen, A., Berley, N., Sullivan, P. F., & Keller, M. C. (2019). No support for historical candidate gene or candidate gene-by-interaction hypotheses for major depression across multiple large samples. American Journal of Psychiatry, 176(5), 376-387.
Byrne, E. M., Carrillo-Roa, T., Penninx, B. W., Sallis, H. M., Viktorin, A., Chapman, B., … Wray, N. R. (2014). Applying polygenic risk scores to postpartum depression. Archives of Women's Mental Health, 17(6), 519-528.
Chang, J., Berg, C. J., Saltzman, L. E., & Herndon, J. (2005). Homicide: A leading cause of injury deaths among pregnant and postpartum women in the United States, 1991-1999. American Journal of Public Health, 95, 471-7.
Choi, S. W., & O'Reilly, P. (2019). PRSice-2: Polygenic Risk Score software for biobank-scale data. GigaScience, 8(7), 1-6.
Cross-Disorder Group of the Psychiatric Genomics, C., Lee, S. H., Ripke, S., Neale, B. M., Faraone, S. V., Purcell, S. M., … Tzeng, J. Y. (2013). Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nature Genetics, 45(9), 984-994.
Evans, J., Melotti, R., Heron, J., Ramchandani, P., Wiles, N., Murray, L., & Stein, A. (2012). The timing of maternal depressive symptoms and child cognitive development: A longitudinal study. Journal of Child Psychology and Psychiatry and Allied Disciplines, 53(6), 632-640.
Figueiredo, B., Canário, C., & Field, T. (2014). Breastfeeding is negatively affected by prenatal depression and reduces postpartum depression. Psychological Medicine, 44(5), 927-936.
Forty, L., Jones, L., Macgregor, S., Caesar, S., Cooper, C., Hough, A., … Jones, I. (2006). Familiarity of postpartum depression in unipolar disorder: Results of a family study. The American Journal of Psychiatry, 163, 1549-1553.
Frank, D-A. Custom Model Builder 1.1 for PROCESS 3.1. 2018. Retrieved from https://dariusfrank.com.
Girchenko, P., Lahti, M., Tuovinen, S., Savolainen, K., Lahti, J., Binder, E. B., … Räikkönen, K. (2017). Cohort Profile: Prediction and prevention of preeclampsia and intrauterine growth restriction (PREDO) study. International Journal of Epidemiology, 46(5), 1380-1381.
Halldorsdottir, T., Piechaczek, C., Soares de Matos, A. P., Czamara, D., Pehl, V., Wagenbuechler, P., … Binder, E. B. (2019). Polygenic risk: Predicting depression outcomes in clinical and epidemiological cohorts of youths. American Journal of Psychiatry, 176(8), 615-625.
Hayes, A. F. (2017). An introduction to mediation, moderation, and conditional process analysis: A regression-based approach, New York, NY: Guldford Press.
Howard, D. M., Adams, M. J., Clarke, T.-K., Hafferty, J. D., Gibson, J., Shirali, M., … McIntosh, A. M. (2019). Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nature Neuroscience, 22(3), 343-352.
Kongsted, A., & Nielsen, A. M. (2017). Latent class analysis in health research. J Physiotherapy. 63(1), 55-58.
Kumpulainen, S. M., Girchenko, P., Lahti-Pulkkinen, M., Reynolds, R. M., Tuovinen, S., Pesonen, A. K., … Räikkönen, K. (2018). Maternal early pregnancy obesity and depressive symptoms during and after pregnancy. Psychological Medicine, 48, 2353-2363. https://doi.org/10.1017/S0033291717003889.
Lahti, M., Savolainen, K., Tuovinen, S., Pesonen, A. K., Lahti, J., Heinonen, K., … Räikkönen, K. (2017). Maternal depressive symptoms during and after pregnancy and psychiatric problems in children. Journal of the American Academy of Child and Adolescent Psychiatry, 56(1), 30-39.
Lee, P. H., Anttila, V., Won, H., Feng, Y. C. A., Rosenthal, J., Zhu, Z., … Burmeister, M. (2019). Novel loci, and pleiotropic mechanisms across eight psychiatric disorders. Cell, 179(7), 1469-1482.
Lee, S. H., Ripke, S., Neale, B. M., Faraone, S. V., Purcell, S. M., Perlis, S. M., … Wray, N. R. (2013). Cross-disorder group of the psychiatric genomics consortium. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nature Genetics, 45(9), 984-994.
Martins, C., & Gaffan, E. A. (2000). Effects of maternal depression on patterns of infant-mother attachment: A meta-analytic investigation. Journal of Child Psychology and Psychiatry, 41, 737-746.
Murphy-Eberenz, K., Zandi, P. P., March, D., Crowe, R. R., Scheftner, W. A., Alexander, M., … Levinson, D. F. (2006). Is perinatal depression familial? Journal of Affective Disorders, 90, 49-55.
Musliner, K. L., Mortensen, P. B., McGrath, J. J., Suppli, N. P., Hougaard, D. M., Bybjerg-Grauholm, J., … Bipolar Disorder Working Group of the Psychiatric Genomics, C. (2019). Association of polygenic liabilities for major depression, bipolar disorder, and schizophrenia with risk for depression in the Danish population. JAMA Psychiatry, 76(5), 516-525.
Nock, M. K., Borges, G., Bromet, E. J., Cha, C. B., Kessler, R. C., & Lee, S. (2008). Suicide and suicidal behavior. Epidemiologic Reviews, 30(1), 133-154.
Payne, J. L., MacKinnon, D. F., Mondimore, F. M., McInnis, M. G., Schweizer, B., Zamoiski, R. B., … Potash, J. B. (2008). Familial aggregation of postpartum mood symptoms in bipolar disorder pedigrees. Bipolar Disorders, 10(1), 38-44.
Pearson, R. M., Carnegie, R. E., Cree, C., Rollings, C., Rena-Jones, L., Evans, J., … Lawlor, D. A. (2018). Prevalence of prenatal depression symptoms among 2 generations of pregnant mothers. The Avon longitudinal study of parents and children. JAMA Network Open, 1(3), e180725.
Pesonen, A.-K., Lahti, M., Kuusinen, T., Tuovinen, S., Villa, P., Hämäläinen, E., … Räikkönen, K. (2016). Maternal prenatal positive affect, depressive and anxiety symptoms and birth outcomes: The PREDO study. PLoS ONE, 11(2), e0150058. https://doi.org/10.1371/journal.pone.015005.
Purcell, S. M., Wray, N. R., Stone, J. L., Visscher, P. M., O'Donovan, M. C., … Sklar, P. International Schizophrenia Consortium (2009). Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature, 460(7256), 48-752.
Radloff, L. S. (1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychology Measure, 1, 385-401.
Ripke, S., Neale, B. M., Corvin, A., Walters, J. T. R., Farh, K.-H., Holmans, P. A., … O'Donovan, M. C. Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014). Schizophrenia working group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci. Nature, 511, 421-427.
Roy, A., & Campbell, M. K. (2013). A unifying framework for depression: Bridging the major biological and psychosocial theories through stress. Clinical and Investigative Medicine, 36(4), E170-E190.
Ruderfer, D. M., Ripke, S., McQuillin, A., Boocock, J., Stahl, E. A., Pavlides, J. M. W., … Freedman, R. (2018). Bipolar disorder and schizophrenia working group of the Psychiatric Genomics Consortium. Genomic rissection of bipolar disorder and schizophrenia, including 28 subphenotypes. Cell, 173(7), 1705-1715. https://doi.org/10.1016/j.cell.2018.05.046.
Schilller, C. E., Meltzer-Brody, S., & Rubinow, D. R. (2015). The role of reproductive hormones in postpartum depression. CNS Spectrums, 20, 48-59.
Serati, M., Redaelli, M., Buoli, M., & Altamura, A. C. (2016). Perinatal major depression biomarkers: A systematic review. Journal of Affective Disorders, 193, 361-404.
Stahl, E. A., Breen, G., Forstner, A. J., McQuillin, A., Ripke, S., Trubetskoy, V., … Reif, A. (2019). Bipolar disorder working group of the Psychiatric Genomics Consortium. Genome-wide association study identifies 30 loci associated with bipolar disorder. Nature Genetics, 51, 793-803. https://doi.org/10.1038/s41588-019-0397-8.
Surakka, I., Sarin, A.-P., Ruotsalainen, S. E., Durbin, R., Salomaa, V., Daly, M. J., … Ripatti, S SISu project group (2016). The rate of false polymorphisms introduced when imputing genotypes from global imputation panels. bioRxiv. https://doi.org/10.1101/080770.
Toffol, E., Lahti-Pulkkinen, M., Lahti, J., Lipsanen, J., Heinonen, K., Pesonen, A. K., … Räikkönen, K. (2019). Maternal depressive symptoms during and after pregnancy are associated with poorer sleep quantity and quality and sleep disorders in 3.5-year-old offspring. Sleep Medicine, 56, 201-210.
Treloar, S. A., Martin, N. G., Bucholz, K. K., Madden, P. A., & Heath, A. C. (1999). Genetic influences on post-natal depressive symptoms: Findings from an Australian twin sample. Psychological Medicine, 29(3), 645-654.
Tuovinen, S., Lahti-Pulkkinen, M., Girchenko, P., Lipsanen, J., Lahti, J., Heinonen, K., … Räikkönen, K. (2018). Maternal depressive symptoms during and after pregnancy and child developmental milestones. Depression and Anxiety, 35, 732-741.
van der Waerden, J., Bernard, J. Y., De Agostini, M., Saurel-Cubizolles, M. J., Peyre, H., Heude, B., … EDEN Mother-Child Cohort Study, G. (2017). Persistent maternal depressive symptoms trajectories influence children's IQ: The EDEN mother-child cohort. Depression and Anxiety, 34(2), 105-117.
Viktorin, A., Meltzer-Brody, S., Kuja-Halkola, R., Sullivan, P. F., Landén, M., Lichtenstein, P., & Magnusson, P. K. (2016). Heritability of perinatal depression and genetic overlap with nonperinatal depression. American Journal of Psychiatry, 173(2), 158-165.
Wolford, E., Lahti, M., Tuovinen, S., Lahti, J., Lipsanen, J., Savolainen, K., … Räikkönen, K. (2017). Maternal depressive symptoms during and after pregnancy are associated with attention-deficit/hyperactivity disorder symptoms in their 3- to 6-year-old children. PLOS One, 12(12), e0190248.
World Health Organizaton. (2015, February). Maternal mental health. Retrieved from https://www.who.int/mental_health/maternal-child/maternal_mental_health/en/.
Wray, N. R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., … Viktorin, A. (2018). Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nature Genetics, 50, 668-81.
Yim, I. S., Tanner Stapleton, L. R., Guardino, C. M., Hahn-Holbrook, J., & Dunkel Schetter, C. (2015). Biological and psychosocial predictors of postpartum depression: Systematic review and call for integration. Annual Review of Clinical Psychology, 11, 99-137.
Grant Information:
International Foundation of Pediatric Research; 724363 for PremLife International European Commission Dynamics of Inequality Across the Life-course: structures and processes (DIAL); International Academy of Finland; International Juho Vainio Foundation; International Signe ja Ane Gyllenbergin Säätiö; International Novo Nordisk Foundation; International Sigrid Juselius Foundation; Horizon 2020 Award SC1-2016-RTD-733280 RECAP International European Commission
Contributed Indexing:
Keywords: depression; epidemiology; genetics; mood disorders; pregnancy and postpartum
Entry Date(s):
Date Created: 20200707 Date Completed: 20201231 Latest Revision: 20201231
Update Code:
20240105
DOI:
10.1002/da.23066
PMID:
32627298
Czasopismo naukowe
Background: Perinatal depression carries adverse effects on maternal health and child development, but genetic underpinnings remain unclear. We investigated the polygenic risk of perinatal depressive symptoms.
Methods: About 742 women from the prospective Prediction and Prevention of Pre-eclampsia and Intrauterine Growth Restriction cohort were genotyped and completed the Center for Epidemiologic Studies Depression scale 14 times during the prenatal period and twice up to 12 months postpartum. Polygenic risk scores for major depressive disorder, bipolar disorder, schizophrenia, and cross-disorder were calculated using multiple p-value thresholds.
Results: Polygenic risk scores for major depressive disorder, schizophrenia, and cross-disorder, but not bipolar disorder, were associated with higher prenatal and postpartum depressive symptoms (0.8%-1% increase per one standard deviation increase in polygenic risk scores). Prenatal depressive symptoms accounted for and mediated the associations between the polygenic risk scores and postpartum depressive symptoms (effect size proportions-mediated: 52.2%-88.0%). Further, the polygenic risk scores were associated with 1.24-1.45-fold odds to belong to the group displaying consistently high compared with consistently low depressive symptoms through out the prenatal and postpartum periods.
Conclusions: Polygenic risk scores for major depressive disorder, schizophrenia, and cross-disorder in non-perinatal populations generalize to perinatal depressive symptoms and may afford to identify women for timely preventive interventions.
(© 2020 The Authors. Depression and Anxiety published by Wiley Periodicals LLC.)
Zaloguj się, aby uzyskać dostęp do pełnego tekstu.

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies