Family environment and polygenic risk in the bipolar high-risk context
dc.contributor.author | Stapp, Emma K. | |
dc.contributor.author | Fullerton, Janice M. | |
dc.contributor.author | Musci, Rashelle J. | |
dc.contributor.author | Zandi, Peter P. | |
dc.contributor.author | McInnis, Melvin G. | |
dc.contributor.author | Mitchell, Philip B. | |
dc.contributor.author | Hulvershorn, Leslie A. | |
dc.contributor.author | Ghaziuddin, Neera | |
dc.contributor.author | Roberts, Gloria | |
dc.contributor.author | Ferrera, Alessandra G. | |
dc.contributor.author | Nurnberger, John I. | |
dc.contributor.author | Wilcox, Holly C. | |
dc.date.accessioned | 2023-07-14T13:59:20Z | |
dc.date.available | 2024-07-14 09:59:18 | en |
dc.date.available | 2023-07-14T13:59:20Z | |
dc.date.issued | 2023-06 | |
dc.identifier.citation | Stapp, Emma K.; Fullerton, Janice M.; Musci, Rashelle J.; Zandi, Peter P.; McInnis, Melvin G.; Mitchell, Philip B.; Hulvershorn, Leslie A.; Ghaziuddin, Neera; Roberts, Gloria; Ferrera, Alessandra G.; Nurnberger, John I.; Wilcox, Holly C. (2023). "Family environment and polygenic risk in the bipolar high-risk context." JCPP Advances 3(2): n/a-n/a. | |
dc.identifier.issn | 2692-9384 | |
dc.identifier.issn | 2692-9384 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/177310 | |
dc.description.abstract | BackgroundThe interaction of polygenic risk (PRS) and environmental effects on development of bipolar disorder (BD) is understudied, as are high-risk offspring perceptions of their family environment (FE). We tested the association of offspring-perceived FE in interaction with BD-PRS on liability for BD in offspring at high or low familial risk for BD.MethodsOffspring of a parent with BD (oBD; n = 266) or no psychiatric disorders (n = 174), aged 12–21 at recruitment, participated in the US and Australia. Empirically-derived profiles of FE classified offspring by their perceived levels of familial cohesion, flexibility, and conflict. Offspring BD-PRS were derived from Psychiatric Genomics Consortium BD-GWAS. Lifetime DSM-IV bipolar disorders were derived from the Schedule for Affective Disorders and Schizophrenia for School-Aged Children. We used a novel stepwise approach for latent class modeling with predictors and distal outcomes.ResultsFifty-two offspring were diagnosed with BD. For those with well-functioning FE (two-thirds of the sample), higher BD-PRS tracked positively with liability for BD. However, for those with high-conflict FEs, the relationship between BD-PRS and liability to BD was negative, with highest risk for BD observed with lower BD-PRS. In exploratory analyses, European-ancestry offspring with BD had elevated history of suicidal ideation in high-conflict FE compared to well-functioning-FE, and of suicide attempt with low-BD-PRS and high-conflict FE.ConclusionsThe data suggest that the relationship of BD-PRS and offspring liability for BD differed between well-functioning versus high-conflict FE, potentially in line with a multifactorial liability threshold model and supporting future study of and interventions improving family dynamics.We examined the joint contribution of offspring-perceived family environment and bipolar-polygenic risk score to the odds of bipolar diagnosis and related clinical features in adolescents at high or low familial risk for bipolar disorder. Findings may suggest different ways of crossing the liability threshold to develop early-onset bipolar disorder, consistent with a multifactorial liability threshold model. Namely, offspring with lower bipolar-polygenic risk score, in the presence of interpersonal environmental risk (conflicted family environments), had higher odds of bipolar diagnosis and greater prevalence of suicide attempt, in contrast to offspring with well-functioning family environment. | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.publisher | Muthén & Muthén | |
dc.subject.other | suicide | |
dc.subject.other | attempted | |
dc.subject.other | bipolar disorder | |
dc.subject.other | gene-environment interaction | |
dc.subject.other | multifactorial inheritance | |
dc.subject.other | parent-child relations | |
dc.title | Family environment and polygenic risk in the bipolar high-risk context | |
dc.type | Article | |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Psychiatry | |
dc.subject.hlbsecondlevel | Psychology | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/177310/1/jcv212143.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/177310/2/jcv212143_am.pdf | |
dc.identifier.doi | 10.1002/jcv2.12143 | |
dc.identifier.source | JCPP Advances | |
dc.identifier.citedreference | Rudolph, K. D., Davis, M. M., Modi, H. H., Fowler, C., Kim, Y., & Telzer, E. H. ( 2020 ). Differential susceptibility to parenting in adolescent girls: Moderation by neural sensitivity to social cues. Journal of Research on Adolescence, 30 ( Suppl 1 ), 177 – 191. https://doi.org/10.1111/jora.12458 | |
dc.identifier.citedreference | Miklowitz, D. J., Merranko, J. A., Weintraub, M. J., Walshaw, P. D., Singh, M. K., Chang, K. D., & Schneck, C. D. ( 2020 ). Effects of family-focused therapy on suicidal ideation and behavior in youth at high risk for bipolar disorder. Journal of Affective Disorders, 275, 14 – 22. https://doi.org/10.1016/j.jad.2020.06.015 | |
dc.identifier.citedreference | Miklowitz, D. J., Schneck, C. D., Walshaw, P. D., Singh, M. K., Sullivan, A. E., Suddath, R. L., Forgey Borlik, M., Sugar, C. A., & Chang, K. D. ( 2020 ). Effects of family-focused therapy vs enhanced usual care for symptomatic youths at high risk for bipolar disorder: A randomized clinical trial. JAMA Psychiatry, 77 ( 5 ), 455 – 463. https://doi.org/10.1001/jamapsychiatry.2019.4520 | |
dc.identifier.citedreference | Mullins, N., Forstner, A. J., O’Connell, K. S., Coombes, B., Coleman, J. R. I., Qiao, Z., Als, T. D., Bigdeli, T. B., Borte, S., Bryois, J., Charney, A. W., Drange, O. K., Gandal, M. J., Hagenaars, S. P., Ikeda, M., Kamitaki, N., Kim, M., Krebs, K., Panagiotaropoulou, G., … Andreassen, O. A. ( 2021 ). Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology. Nature Genetics, 53 ( 6 ), 817 – 829. https://doi.org/10.1038/s41588-021-00857-4 | |
dc.identifier.citedreference | Mullins, N., Power, R. A., Fisher, H. L., Hanscombe, K. B., Euesden, J., Iniesta, R., Levinson, D. F., Weissman, M. M., Potash, J. B., Shi, J., Uher, R., Cohen-Woods, S., Rivera, M., Jones, L., Jones, I., Craddock, N., Owen, M. J., Korszun, A., Craig, I. W., … Lewis, C. M. ( 2016 ). Polygenic interactions with environmental adversity in the aetiology of major depressive disorder. Psychological Medicine, 46 ( 4 ), 759 – 770. https://doi.org/10.1017/S0033291715002172 | |
dc.identifier.citedreference | Muthén, L. K., & Muthén, B. O. ( 1998-2017 ). Mplus user’s guide ( 8th ed. ). Muthén & Muthén. | |
dc.identifier.citedreference | Nurnberger, J. I., Jr., Blehar, M. C., Kaufmann, C. A., York-Cooler, C., Simpson, S. G., Harkavy-Friedman, J., & Reich, T. ( 1994 ). Diagnostic interview for genetic studies. Rationale, unique features, and training. NIMH Genetics Initiative. Archives of General Psychiatry, 51 ( 11 ), 849 – 859. Discussion 863–844. https://doi.org/10.1001/archpsyc.1994.03950110009002 | |
dc.identifier.citedreference | Nurnberger, J. I., Jr., McInnis, M., Reich, W., Kastelic, E., Wilcox, H. C., Glowinski, A., & Monahan, P. O. ( 2011 ). A high-risk study of bipolar disorder. Childhood clinical phenotypes as precursors of major mood disorders. Archives of General Psychiatry, 68 ( 10 ), 1012 – 1020. https://doi.org/10.1001/archgenpsychiatry.2011.126 | |
dc.identifier.citedreference | Olson, D. H., Bell, R. Q., & Portner, J. ( 1982 ). FACES II: Family adaptability and cohesion evaluation scales. MN Life Innovations, Inc. | |
dc.identifier.citedreference | Palmier-Claus, J. E., Berry, K., Bucci, S., Mansell, W., & Varese, F. ( 2016 ). Relationship between childhood adversity and bipolar affective disorder: Systematic review and meta-analysis. British Journal of Psychiatry, 209 ( 6 ), 454 – 459. https://doi.org/10.1192/bjp.bp.115.179655 | |
dc.identifier.citedreference | Perich, T., Lau, P., Hadzi-Pavlovic, D., Roberts, G., Frankland, A., Wright, A., Green, M., Breakspear, M., Corry, J., Radlinska, B., McCormack, C., Joslyn, C., Levy, F., Lenroot, R., Nurnberger Jnr, J. I., & Mitchell, P. B. ( 2015 ). What clinical features precede the onset of bipolar disorder ? Journal of Psychiatric Research, 62, 71 – 77. https://doi.org/10.1016/j.jpsychires.2015.01.017 | |
dc.identifier.citedreference | Perlis, R. H., Miyahara, S., Marangell, L. B., Wisniewski, S. R., Ostacher, M., DelBello, M. P., Bowden, C. L., Sachs, G. S., Nierenberg, A. A., & Investigators, S.-B. ( 2004 ). Long-term implications of early onset in bipolar disorder: Data from the first 1000 participants in the systematic treatment enhancement program for bipolar disorder (STEP-BD). Biological Psychiatry, 55 ( 9 ), 875 – 881. https://doi.org/10.1016/j.biopsych.2004.01.022 | |
dc.identifier.citedreference | Peterson, R. E., Kuchenbaecker, K., Walters, R. K., Chen, C. Y., Popejoy, A. B., Periyasamy, S., Lam, M., Iyegbe, C., Strawbridge, R. J., Brick, L., Carey, C. E., Martin, A. R., Meyers, J. L., Su, J., Chen, J., Edwards, A. C., Kalungi, A., Koen, N., Majara, L., … Duncan, L. E. ( 2019 ). Genome-wide association studies in ancestrally diverse populations: Opportunities, methods, pitfalls, and recommendations. Cell, 179 ( 3 ), 589 – 603. https://doi.org/10.1016/j.cell.2019.08.051 | |
dc.identifier.citedreference | Peyrot, W. J., Van der Auwera, S., Milaneschi, Y., Dolan, C. V., Madden, P. A. F., Sullivan, P. F., Strohmaier, J., Ripke, S., Rietschel, M., Nivard, M. G., Mullins, N., Montgomery, G. W., Henders, A. K., Heat, A. C., Fisher, H. L., Dunn, E. C., Byrne, E. M., Air, T. A., Baune, B. T., … Penninx, B. ( 2018 ). Does childhood trauma moderate polygenic risk for depression? A meta-analysis of 5765 subjects from the psychiatric genomics Consortium. Biological Psychiatry, 84 ( 2 ), 138 – 147. https://doi.org/10.1016/j.biopsych.2017.09.009 | |
dc.identifier.citedreference | Post, R. M., & Leverich, G. S. ( 2006 ). The role of psychosocial stress in the onset and progression of bipolar disorder and its comorbidities: The need for earlier and alternative modes of therapeutic intervention. Development and Psychopathology, 18 ( 4 ), 1181 – 1211. https://doi.org/10.1017/S0954579406060573 | |
dc.identifier.citedreference | Prinz, R. J., Foster, S., Kent, R. N., & O’Leary, K. D. ( 1979 ). Multivariate assessment of conflict in distressed and nondistressed mother-adolescent dyads. Journal of Applied Behavior Analysis, 12 ( 4 ), 691 – 700. https://doi.org/10.1901/jaba.1979.12-691 | |
dc.identifier.citedreference | Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A., Bender, D., Maller, J., Sklar, P., de Bakker, P. I., Daly, M. J., & Sham, P. C. ( 2007 ). PLINK: A tool set for whole-genome association and population-based linkage analyses. The American Journal of Human Genetics, 81 ( 3 ), 559 – 575. https://doi.org/10.1086/519795 | |
dc.identifier.citedreference | Raballo, A., Poletti, M., & Preti, A. ( 2021 ). Applying transgenerational scientific evidence to the next Wave of early identification strategies for psychopathological risk-transdiagnostic, developmental, and personalized. JAMA Psychiatry, 78 ( 10 ), 1067. https://doi.org/10.1001/jamapsychiatry.2021.1901 | |
dc.identifier.citedreference | Rasic, D., Hajek, T., Alda, M., & Uher, R. ( 2014 ). Risk of mental illness in offspring of parents with schizophrenia, bipolar disorder, and major depressive disorder: A meta-analysis of family high-risk studies. Schizophrenia Bulletin, 40 ( 1 ), 28 – 38. https://doi.org/10.1093/schbul/sbt114 | |
dc.identifier.citedreference | Reich, W., & Earls, F. ( 1984 ). Home environment interview for children (parent and child versions). Washington University. | |
dc.identifier.citedreference | Asparouhov, T. M. B., & Muthen, B. ( 2014, May 14). Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary secondary model. Web Note, 21. | |
dc.identifier.citedreference | Schick, A., van Winkel, R., Lin, B. D., Luykx, J. J., de Zwarte, S. M. C., van Eijk, K. R., GROUP Investigators, Myin-Germeys, I., & Reininghaus, U. ( 2022 ). Polygenic risk, familial liability and stress reactivity in psychosis: An experience sampling study, Psychological Medicine. 1 – 10. https://doi.org/10.1017/S0033291721004761 | |
dc.identifier.citedreference | Sewall, C. J. R., Girard, J. M., Merranko, J., Hafeman, D., Goldstein, B. I., Strober, M., Hower, H., Weinstock, L. M., Yen, S., Ryan, N. D., Keller, M. B., Liao, F., Diler, R. S., Kay Gill, M., Axelson, D., Birmaher, B., & Goldstein, T. R. ( 2020 ). A Bayesian multilevel analysis of the longitudinal associations between relationship quality and suicidal ideation and attempts among youth with bipolar disorder. Journal of Child Psychology and Psychiatry, 62 ( 7 ), 905 – 915. https://doi.org/10.1111/jcpp.13343 | |
dc.identifier.citedreference | Shakiba, N., Ellis, B. J., Bush, N. R., & Boyce, W. T. ( 2020 ). Biological sensitivity to context: A test of the hypothesized U-shaped relation between early adversity and stress responsivity. Development and Psychopathology, 32 ( 2 ), 641 – 660. https://doi.org/10.1017/S0954579419000518 | |
dc.identifier.citedreference | Song, J., Kuja-Halkola, R., Sjolander, A., Bergen, S. E., Larsson, H., Landen, M., & Lichtenstein, P. ( 2018 ). Specificity in etiology of subtypes of bipolar disorder: Evidence from a Swedish population-based family study. Biological Psychiatry, 84 ( 11 ), 810 – 816. https://doi.org/10.1016/j.biopsych.2017.11.014 | |
dc.identifier.citedreference | Stahl, E. A., Breen, G., Forstner, A. J., McQuillin, A., Ripke, S., & Trubetskoy, V. ( 2019 ). Genome-wide association study identifies 30 loci associated with bipolar disorder. Nature Genetics, 51 ( 5 ), 793 – 803. https://doi.org/10.1038/s41588-019-0397-8 | |
dc.identifier.citedreference | Stapp, E. K., Mendelson, T., Merikangas, K. R., & Wilcox, H. C. ( 2020 ). Parental bipolar disorder, family environment, and offspring psychiatric disorders: A systematic review. Journal of Affective Disorders, 268, 69 – 81. https://doi.org/10.1016/j.jad.2020.03.005 | |
dc.identifier.citedreference | Stapp, E. K., Musci, R. J., Fullerton, J. M., Glowinski, A. L., McInnis, M., Mitchell, P. B., Hulvershorn, L. A., Ghaziuddin, N., Roberts, G. M., Merikangas, K. R., Nurnberger, J. I., & Wilcox, H. C. ( 2019 ). Patterns and predictors of family environment among adolescents at high and low risk for familial bipolar disorder. Journal of Psychiatric Research, 114, 153 – 160. https://doi.org/10.1016/j.jpsychires.2019.05.003 | |
dc.identifier.citedreference | Stapp, E. K., Williams, S. C., Kalb, L. G., Holingue, C. B., Van Eck, K., Ballard, E. D., Merikangas, K. R., & Gallo, J. J. ( 2020 ). Mood disorders, childhood maltreatment, and medical morbidity in US adults: An observational study. Journal of Psychosomatic Research, 137, 110207. https://doi.org/10.1016/j.jpsychores.2020.110207 | |
dc.identifier.citedreference | Tonini, E., Watkeys, O., Quidé, Y., Whitford, T. J., Cairns, M. J., & Green, M. J. ( 2022 ). Polygenic risk for schizophrenia as a moderator of associations between childhood trauma and schizotypy. Progress in Neuro-psychopharmacology & Biological Psychiatry, 119, 110612. https://doi.org/10.1016/j.pnpbp.2022.110612 | |
dc.identifier.citedreference | Uher, R., & Zwicker, A. ( 2017 ). Etiology in psychiatry: Embracing the reality of poly-gene-environmental causation of mental illness. World Psychiatry, 16 ( 2 ), 121 – 129. https://doi.org/10.1002/wps.20436 | |
dc.identifier.citedreference | Vandeleur, C. L., Merikangas, K. R., Strippoli, M. P., Castelao, E., & Preisig, M. ( 2014 ). Specificity of psychosis, mania and major depression in a contemporary family study. Molecular Psychiatry, 19 ( 2 ), 209 – 213. https://doi.org/10.1038/mp.2013.132 | |
dc.identifier.citedreference | Visscher, P. M., & Wray, N. R. ( 2015 ). Concepts and misconceptions about the polygenic additive model applied to disease. Human Heredity, 80 ( 4 ), 165 – 170. https://doi.org/10.1159/000446931 | |
dc.identifier.citedreference | Wilcox, H. C., Fullerton, J. M., Glowinski, A. L., Benke, K., Kamali, M., Hulvershorn, L. A., Stapp, E. K., Edenberg, H. J., Roberts, G. M., Ghaziuddin, N., Fisher, C., Brucksch, C., Frankland, A., Toma, C., Shaw, A. D., Kastelic, E., Miller, L., McInnis, M. G., Mitchell, P. B., … Nurnberger, J. I., Jr. ( 2017 ). Traumatic stress interacts with bipolar disorder genetic risk to increase risk for suicide attempts. Journal of the American Academy of Child & Adolescent Psychiatry, 56 ( 12 ), 1073 – 1080. https://doi.org/10.1016/j.jaac.2017.09.428 | |
dc.identifier.citedreference | Willer, C. J., Li, Y., & Abecasis, G. R. ( 2010 ). METAL: Fast and efficient meta-analysis of genomewide association scans. Bioinformatics, 26 ( 17 ), 2190 – 2191. https://doi.org/10.1093/bioinformatics/btq340 | |
dc.identifier.citedreference | Wray, N. R., Lee, S. H., Mehta, D., Vinkhuyzen, A. A., Dudbridge, F., & Middeldorp, C. M. ( 2014 ). Research review: Polygenic methods and their application to psychiatric traits. Journal of Child Psychology and Psychiatry, 55 ( 10 ), 1068 – 1087. https://doi.org/10.1111/jcpp.12295 | |
dc.identifier.citedreference | Aas, M., Bellivier, F., Bettella, F., Henry, C., Gard, S., Kahn, J. P., Lagerberg, T. V., Aminoff, S. R., Melle, I., Leboyer, M., Jamain, S., Andreassen, O. A., & Etain, B. ( 2020 ). Childhood maltreatment and polygenic risk in bipolar disorders. Bipolar Disorders, 22 ( 2 ), 174 – 181. https://doi.org/10.1111/bdi.12851 | |
dc.identifier.citedreference | Axelson, D. A., Birmaher, B., Strober, M. A., Goldstein, B. I., Ha, W., Gill, M. K., Goldstein, T. R., Yen, S., Hower, H., Hunt, J. I., Liao, F., Iyengar, S., Dickstein, D., Kim, E., Ryan, N. D., Frankel, E., & Keller, M. B. ( 2011 ). Course of subthreshold bipolar disorder in youth: Diagnostic progression from bipolar disorder not otherwise specified. Journal of the American Academy of Child & Adolescent Psychiatry, 50 ( 10 ), 1001 – 1016.e3. https://doi.org/10.1016/j.jaac.2011.07.005 | |
dc.identifier.citedreference | Birmaher, B., Merranko, J., Hafeman, D., Goldstein, B. I., Diler, R., Levenson, J. C., Monk, K., Iyengar, S., Hickey, M. B., Sakolsky, D., Axelson, D., & Goldstein, T. ( 2021 ). A longitudinal study of psychiatric disorders in offspring of parents with bipolar disorder from preschool to adolescence. Journal of the American Academy of Child & Adolescent Psychiatry, 60 ( 11 ), 1419 – 1429. https://doi.org/10.1016/j.jaac.2021.02.023 | |
dc.identifier.citedreference | Choi, S. W., Mak, T. S., & O’Reilly, P. F. ( 2020 ). Tutorial: A guide to performing polygenic risk score analyses. Nature Protocols, 15 ( 9 ), 2759 – 2772. https://doi.org/10.1038/s41596-020-0353-1 | |
dc.identifier.citedreference | Craddock, N., & Sklar, P. ( 2013 ). Genetics of bipolar disorder. The Lancet, 381 ( 9878 ), 1654 – 1662. https://doi.org/10.1016/s0140-6736(13)60855-7 | |
dc.identifier.citedreference | Fullerton, J. M., Koller, D. L., Edenberg, H. J., Foroud, T., Liu, H., Glowinski, A. L., McInnis, M. G., Wilcox, H. C., Frankland, A., Roberts, G., Schofield, P. R., Mitchell, P. B., & Nurnberger, J. I., Bipolar High Risk Study Group, & BiGS Consortium. ( 2015 ). Assessment of first and second degree relatives of individuals with bipolar disorder shows increased genetic risk scores in both affected relatives and young at-risk individuals. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics, 168 ( 7 ), 617 – 629. https://doi.org/10.1002/ajmg.b.32344 | |
dc.identifier.citedreference | Fullerton, J. M., & Nurnberger, J. I. ( 2019 ). Polygenic risk scores in psychiatry: Will they be useful for clinicians ? F1000Res, 8, 1293. https://doi.org/10.12688/f1000research.18491.1 | |
dc.identifier.citedreference | Goes, F. S., Pirooznia, M., Parla, J. S., Kramer, M., Ghiban, E., Mavruk, S., Chen, Y. C., Monson, E. T., Willour, V. L., Karchin, R., Flickinger, M., Locke, A. E., Levy, S. E., Scott, L. J., Boehnke, M., Stahl, E., Moran, J. L., Hultman, C. M., Landen, M., … Potash, J. B. ( 2016 ). Exome sequencing of familial bipolar disorder. JAMA Psychiatry, 73 ( 6 ), 590 – 597. https://doi.org/10.1001/jamapsychiatry.2016.0251 | |
dc.identifier.citedreference | Gottesman, I. I., & Shields, J. ( 1967 ). A polygenic theory of schizophrenia. Proceedings of the National Academy of Sciences of the United States of America, 58 ( 1 ), 199 – 205. https://doi.org/10.1073/pnas.58.1.199 | |
dc.identifier.citedreference | Hodgins, S., Faucher, B., Zarac, A., & Ellenbogen, M. ( 2002 ). Children of parents with bipolar disorder. A population at high risk for major affective disorders. Child and Adolescent Psychiatric Clinics of North America, 11 ( 3 ), 533 – 553, ix. https://doi.org/10.1016/s1056-4993(02)00002-0 | |
dc.identifier.citedreference | Hulvershorn, L. A., King, J., Monahan, P. O., Wilcox, H. C., Mitchell, P. B., Fullerton, J. M., Edenberg, H. J., Roberts, G. M., Kamali, M., Glowinski, A. L., Ghaziuddin, N., McInnis, M., Iyer-Eimerbrink, P. A., & Nurnberger, J. I., Jr. ( 2017 ). Substance use disorders in adolescent and young adult relatives of probands with bipolar disorder: What drives the increased risk ? Comprehensive Psychiatry, 78, 130 – 139. https://doi.org/10.1016/j.comppsych.2017.07.010 | |
dc.identifier.citedreference | Lippard, E. T. C., & Nemeroff, C. B. ( 2020 ). The devastating clinical consequences of child abuse and neglect: Increased disease vulnerability and poor treatment response in mood disorders. American Journal of Psychiatry, 177 ( 1 ), 20 – 36. https://doi.org/10.1176/appi.ajp.2019.19010020 | |
dc.identifier.citedreference | Masyn, K. E. ( 2017 ). Measurement invariance and differential item functioning in latent class analysis with stepwise multiple indicator multiple cause modeling. Structural Equation Modeling: A Multidisciplinary Journal, 24 ( 2 ), 180 – 197. https://doi.org/10.1080/10705511.2016.1254049 | |
dc.identifier.citedreference | McGue, M., Gottesman, I. I., & Rao, D. C. ( 1983 ). The transmission of schizophrenia under a multifactorial threshold model. The American Journal of Human Genetics, 35 ( 6 ), 1161 – 1178. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/6650500 | |
dc.identifier.citedreference | Merikangas, K. R., Cui, L., Heaton, L., Nakamura, E., Roca, C., Ding, J., Qin, H., Guo, W., Yao-Shugart, Y., Zarate, C., & Angst, J. ( 2014 ). Independence of familial transmission of mania and depression: Results of the NIMH family study of affective spectrum disorders. Molecular Psychiatry, 19 ( 2 ), 214 – 219. https://doi.org/10.1038/mp.2013.116 | |
dc.identifier.citedreference | Merikangas, K. R., Jin, R., He, J. P., Kessler, R. C., Lee, S., Sampson, N. A., Viana, M. C., Andrade, L. H., Hu, C., Karam, E. G., Ladea, M., Medina-Mora, M. E., Ono, Y., Posada-Villa, J., Sagar, R., Wells, J. E., & Zarkov, Z. ( 2011 ). Prevalence and correlates of bipolar spectrum disorder in the world mental health survey initiative. Archives of General Psychiatry, 68 ( 3 ), 241 – 251. https://doi.org/10.1001/archgenpsychiatry.2011.12 | |
dc.identifier.citedreference | Miklowitz, D. J., & Chung, B. ( 2016 ). Family-focused therapy for bipolar disorder: Reflections on 30 Years of research. Family Process, 55 ( 3 ), 483 – 499. https://doi.org/10.1111/famp.12237 | |
dc.working.doi | NO | en |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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